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2022年增刊共收录76

1. Design and Experiment of Seed Combine Harvester for Chinese Milk Vetch Green Manure in Paddy Field

Accession number: 20231013687110

Title of translation:

Authors: You, Zhaoyan (1); Yan, Jianchun (1); Wu, Huichang (1); Wang, Shenying (1); Cao, Mingzhu (1); Wang, Wei (2)

Author affiliation: (1) Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing; 210014, China; (2) Wuhu Qingyijiang Seed Industry Co., Ltd., Wuhu; 241000, China

Corresponding author: Cao, Mingzhu(cmzhul08@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 1-10 and 83

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: China is the country of origin of Astragalus sinicus L., and also the country with the earliest utilization and cultivation of Astragalus sinicus L. and the largest planting area in the world. Astragalus sinicus L., also known as Chinese milk vetch, Zi yunying and so on, is one of the main winter green manure crops in paddy fields of central and southern China. Currently, the harvest methods of Astragalus sinicus L. green manure seed are mainly include; artificial harvest and mechanical harvest, artificial harvest is time-consuming and laborious, and the yield of reserved seed for planting is low. Generally, the seed yield of Astragalus sinicus L. in paddy field is 300 ~ 650 kg/hm, there are two common ways of mechanical harvest; the first one is segmented harvest, using a rice, wheat, rape or bean swather to harvest Astragalus sinicus L. and then through natural drying, a thresher is used for threshing afterwards, the second one is combine harvest, by adjusting parameters and changing working components of traditional grain harvester or rapeseed combine harvester to complete harvest of Astragalus sinicus L seed. Segmented harvesting process is cumbersome and inefficient, combine harvest is of high efficiency, which is the development trend of Astragalus sinicus L. seed harvest, however, the harvest quality of existing Astragalus sinicus L. green manure seed combine harvester was affected by unreasonable structure configuration of header, weak separation ability of threshing mechanism, and poor impurity-removal function of cleaning device, the loss rate of machine harvest in field measurement was in the range from 31.5% to 32. 1%, and the seed impurity rate and breakage rate were high, which seriously affected the scale promotion and application of Astragalus sinicus L. green manure. In order to solve the problems such as poor applicability of header, weak separation ability of threshing mechanism and poor impurity-removal ability of cleaning device during the harvest process of existing Astragalus sinicus L. green manure seed harvester, a 4LGM -200 type Astragalus sinicus L. green manure seed combine harvester was designed. The Parameters of the key components, such as the flexible anti pod-dropping seedling-lifting header, the longitudinal rod teeth type threshing device and the air-sieve type layered impurity-controlled cleaning device were designed, the structual parameters ( lenth of feeding section, threshin section and grass-dischaging section) of the longitudinal rod teeth type threshing device were determined. Meanwhile, the structural parameters, number and circumferential distribution of threshing elements were designed and calculated. Both the ICEM - CFD mesh partitioning software and Fluent fluid dynamics analysis software were used to perform numerical simulation on the internal airflow field of the three-channel centrifugal fan under the condition when the rotation speed of the fan was 1 080 r/min and impeller diameter was 385 mm, and test verification analysis were carried out as well. Aiming at reducing loss rate, breakage rate and inpurity rate of Astragalus sinicus L. seed during mechanical harvest process, four factors which had a great influence on the harvest quality were selected, including the machine forward speed, rotation speed of the roller, rotation speed of the fan and the scale sieve’ s opening. By adoting the Box - Behnken central composite test method, the response surfaces experiments with four factors and three levels were conducted, and then the response surface analysis of the test results was performed by using Design-Expert, through multi-objective parameter optimization, the best combination of working parameters was obtained; the machine forward speed was 3 km/h, rotation speed of the roller was 550 r/min, rotation speed of the cleaning fan was 990 r/min, and the scale sieve ‘ s opening was 35 mm. Under these parameters, the field test was carried out, the results showed that the loss rate of Astragalus sinicus L. seed was 2. 35%, the breakage rate was 0. 22%, and the impurity rate was 0.51%, which was better than the technical requirements of loss rate and breakage rate less than 5% and impurity rate less than 3% specified in relevant standards. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 24

Main heading: Seed

Controlled terms: Cultivation? - ?Fertilizers? - ?Harvesters? - ?Harvesting? - ?Manures? - ?Recovery? - ?Removal

Uncontrolled terms: Astragalus sinicus? - ?Breakage rates? - ?Chinese milk vetch seed? - ?Combine harvesters? - ?Green manures? - ?Loss rates? - ?Orthogonal test? - ?Paddy field green manure? - ?Paddy fields? - ?Rotation speed

Classification code: 804 Chemical Products Generally? - ?821.1 Agricultural Machinery and Equipment? - ?821.2 Agricultural Chemicals? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?821.5 Agricultural Wastes

Numerical data indexing: Angular velocity 1.336E+00rad/s, Angular velocity 1.6533E+01rad/s, Angular velocity 9.185E+00rad/s, Mass 3.00E+02kg to 6.50E+02kg, Percentage 1.00E00%, Percentage 2.20E+01%, Percentage 3.00E+00%, Percentage 3.15E+01% to 3.20E+01%, Percentage 3.50E+01%, Percentage 5.00E+00%, Percentage 5.10E-01%, Size 3.00E+03m, Size 3.50E-02m, Size 3.85E-01m

DOI: 10.6041/j.issn.1000-1298.2022.S2.001

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

2. Rotor Dynamic Characteristics of Oblique Flow Pump under Action of Fluid-structure Interaction

Accession number: 20231013687256

Title of translation:

Authors: Xu, Zhengxuan (1); Zhang, Fan (1); Chen, Ke (1); Zhu, Lufeng (1); Zhang, Jinfeng (1); Song, Mengbin (2)

Author affiliation: (1) National Research Center of Pumps, Jiangsu University, Zhenjiang; 212013, China; (2) LEO CROUP Co., Ltd., Taizhou; 317500, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 179-187

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Taking a certain type of oblique flow pump as the research object, the computational fluid dynamics software CFX 2021 Rl and the finite element analysis software ANSYS Workbench 2021 Rl platform were used to solve the natural frequency and mode shape of the dry and wet mode of the oblique flow pump rotor system. The critical speed and the transient dynamics based on fluid-structure coupling, the deformation and stress distribution of the impeller blades at different positions were studied, and the influence of different flow conditions on the deformation and stress distribution of the impeller blades was compared and analyzed. The results showed that with an increase in the order, the natural frequency was gradually decreased. The 3rd order mode had the least decline rate at 9.82% while the 6th order mode had the highest decline rate at 44.31%. This confirmed the findings that the natural frequency of the rotor would decrease in the wet mode. The critical speed of the calculated second-order mode was 7 369 r/min, which was much greater than the rotor working speed. This indicated that the design requirements of the rotor dynamics met as the rotor system would not resonate when operating at working speed hence resulting in a stable operation. The deformation trends between the rear side of the blade and the working side of the impeller blade were quite similar. On the working surface, the deformation at the upper span of the blade towards the outlet was the largest. When the amplitude reached 2. 675 5 mm, the deformation at each given position on the impeller blade working surface was higher than the rear surface with a maximum deformation of 0. 035 8 mm. The deformation at the upper span of the blade was higher than at the root of the blade with the maximum difference being 1. 017 7 mm. The highest amplitude reached 2. 675 5 mm. Considering the stress change and stress amplitude trend, it was revealed that at the upper span of the blade near the inlet part were roughly similar on both sides. The stress amplitude graphs showed that towards the outlet portion of the blade, the upper span and root on the working surface had higher amplitudes than on the corresponding rear surface. The amplitude of the monitoring point at the outlet of the blade was significantly greater than that of the monitoring point at the inlet. On the rear surface, the equivalence force at the root of the blade towards blade was the largest, and the largest value reached about 6 MPa. The change trend of blade deformation under different flow conditions was similar, and as the flow rate increased, the amount of deformation at each position of the impeller blade gradually decreased. At 0.6,the amount of blade deformation fluctuated the most with time. The maximum deformation was 3.067 2 mm, which appearred at the upper span of the impeller blade towards the outlet. At the upper span of the blade, as the flow rate increased, the stress fluctuation gradually decreased, at the blade root, the stress amplitude fluctuated the most at Q. The smallest fluctuations in inlet and outlet stress occurred under 0.6Q and 0.8Q flow conditions, respectively, and the maximum equivalent force was 12.456 MPa. At the blade root, after each stress fluctuation, the 0.6Q and 0.8Q stress curve would have an additional small fluctuation, therefore operating the pump under small flow conditions must be avoided and also the blade thickness at the impeller root should be strengthened. The research results can provide a reference for the operation stability analysis of the oblique flow pump rotor system and the structural optimization design of the impeller blades. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 20

Main heading: Modal analysis

Controlled terms: Computational fluid dynamics? - ?Fluid structure interaction? - ?Impellers? - ?Natural frequencies? - ?Pumps? - ?Stress concentration

Uncontrolled terms: Critical speed? - ?Deformation and stress? - ?Flow condition? - ?Fluid-structure interaction? - ?Impeller blades? - ?Oblique flow pump? - ?Rotor systems? - ?Rotors dynamics? - ?Stress amplitudes? - ?Transient dynamics

Classification code: 601.2 Machine Components? - ?618.2 Pumps? - ?631.1 Fluid Flow, General? - ?723.5 Computer Applications? - ?921 Mathematics? - ?931.1 Mechanics

Numerical data indexing: Angular velocity 6.1623E+00rad/s, Percentage 4.431E+01%, Percentage 9.82E+00%, Pressure 1.2456E+07Pa, Pressure 6.00E+06Pa, Size 2.00E-03m, Size 5.00E-03m, Size 7.00E-03m, Size 8.00E-03m

DOI: 10.6041/j.issn.1000-1298.2022.S2.020

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

3. Hot Air Drying Characteristics in Deep Bed of Corn Ear

Accession number: 20231013694006

Title of translation:

Authors: Sun, Qingyun (1); Zhang, Zongchao (1); Jia, Zhenchao (1); Han, Menglong (1); Ci, Wenliang (1); Zhao, Feng (1, 2)

Author affiliation: (1) Shandong Academy of Agricultural Machinery Science, Ji’nan; 250100, China; (2) Huang Huai Hai Key Laboratory of Modern Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Ji’nan; 250100, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 285-292 and 337

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming to improve the drying uniformity of corn ear and drying efficiency, reduce the quality loss, and optimize the design of drying and storage equipment for corn ear, a deep bed drying test equipment of corn ear was designed according to the drying technical requirements. The drying test equipment included hot air device, drying section, control system, temperature and humidity monitoring components. The corn ear drying characteristics and quality experiment were conducted at different wind speeds (0.5 m/s and 1 m/s), hot air temperature (room temperature, 50°C, 60°C and 70°C ) and material layer thickness ( 180 mm, 360 mm, 540 mm and 720 mm). The result showed that with the increasing of hot air temperature and wind speed, the drying rate was improved. When the wind speed was 0. 5 m/s, the drying time of the first material layer under the hot air temperature of 50°C, 60°C and 70°C was 28 h, 20 h and 14 h, respectively. However, the moisture content (wet basis) of corn ear at room temperature drying only dropped to 20% after 192 h. With the decrease of the hot air temperature, the drying time was significantly prolonged. Increasing hot air speed was beneficial forimproving the drying rate. The change of the drying rate of corn ears in the third and fourth material layersinfluenced by hot air speed was greater than that of the first or second layers. When the hot air temperature was 50°C, the drying time at the first material layer under the wind speed of 1 m/s was 14. 3% lower than the wind speed of 0. 5 m/s. With the increase of material layers, the drying rate under each drying condition was significantly reduced, and the drying time was prolonged. The material layer of corn ear at room temperature drying conditions was in a high-humidity environment for a long time. Drying corn ear in the stage of high water content by the natural ventilation method was easy to cause internal high humidity and high temperature. The moisture content of the corn kernel was decreased firstly during the drying process, and the moisture content of the corn cob was much higher than that of the corn kernel. Compared with the control group, the brightness value of the dried materials was decreased. Besides, the increasing of the hot air speed and temperature would decrease the brightness value of corn kernel. The electrical conductivity of corn kernels dried at room temperature was the lowest, which was 104 μS/cm. With the increase of hot air temperature and wind speed, the electrical conductivity was increased, indicating that the internal structure of maize kernels was damaged greatly. The starch content and soluble sugar content of corn kernel were decreased after drying, among which the starch content was the lowest at 70°C, 0. 5 m/s and the soluble sugar content was the lowest at 60°C and 70°C, 0. 5 m/s. On the basis of the drying characteristics and quality changes of corn ear, it was determined that the deep bed drying process of the corn ear was the method of hot air drying first and then drying at room temperature. The optimal hot air drying process parameters of corn ear was hot air temperature of 50°C or 60°C, wind speed of 0. 5 m/s and air channel’ s unilateral material layer thickness of 360 mm. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 27

Main heading: Drying

Controlled terms: Air? - ?Atmospheric temperature? - ?Efficiency? - ?Equipment testing? - ?Humidity control? - ?Moisture determination? - ?Room temperature? - ?Ventilation? - ?Water content? - ?Wind speed

Uncontrolled terms: Corn ear? - ?Corn kernels? - ?Deep bed? - ?Deep bed test equipment? - ?Drying characteristics? - ?Hot air drying? - ?Hot air temperature? - ?Material layers? - ?Test equipments? - ?Wind speed

Classification code: 443.1 Atmospheric Properties? - ?615.8 Wind Power (Before 1993, use code 611 )? - ?641.1 Thermodynamics? - ?643.5 Ventilation? - ?804 Chemical Products Generally? - ?913.1 Production Engineering? - ?944.2 Moisture Measurements

Numerical data indexing: Electrical conductivity 1.04E-02S/m, Percentage 2.00E+01%, Percentage 3.00E+00%, Size 1.80E-01m, Size 3.60E-01m, Size 5.40E-01m, Size 7.20E-01m, Temperature 3.23E+02K, Temperature 3.33E+02K, Temperature 3.43E+02K, Time 1.008E+05s, Time 5.04E+04s, Time 6.912E+05s, Time 7.20E+04s, Velocity 1.00E00m/s, Velocity 5.00E+00m/s, Velocity 5.00E-01m/s

DOI: 10.6041/j.issn.1000-1298.2022.S2.033

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

4. Evaluation of Mechanized Production Model Based on High Quality and High Efficiency in Southwest Hilly and Mountainous Areas

Accession number: 20231013686050

Title of translation:

Authors: Liu, Pengwei (1, 2); Yang, Minli (1, 2); Zhang, Xiaojun (3); Lin, Jiahao (1, 2); Peng, Weiqin (4); Wang, Zhiqin (1, 2)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) China Agricultural Mechanization Development Research Center, China Agricultural University, Beijing; 100083, China; (3) Sichuan Agricultural Mechanization Technology Promotion Station, Chengdu; 610041, China; (4) Chongqing Agricultural Mechanization Technology Promotion Station, Chongqing; 401147, China

Corresponding author: Yang, Minli(qyang@cau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 140-149

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problems of imperfect mechanized production system, complex and diverse production models, and lack of systematic evaluation in the hilly and mountainous areas of Southwest China, taking the main body of agricultural management as the research object, a “farmland + agricultural machinery + agronomy + information” was constructed from the perspectives of moderate scale, high production efficiency, and ecological friendliness. Four-integrated evaluation system of mechanized production mode in hilly and mountainous areas of Southwest China, which included six dimensions and 15 tertiary indicators, including suitable mechanization of farmland, moderate scale operation, quality of agricultural machinery equipment, degree of intelligence of agricultural machinery and equipment, agricultural machinery production efficiency and farmland health. The weights were determined by the AHP and CRITIC methods; four typical models of wheat/corn mechanized production in Southwest China were selected for evaluation and comparison based on farmland endowment, mechanical equipment as the core, and scale benefit as the guide. The results showed that under the mechanized production mode (Ml) of the key links of ordinary farmers, the plots are small and the terrain is undulating, and the machines and tools can only use small and low-efficiency machinery; the application rate of chemical fertilizers and pesticides was higher than the standard value, and its operation scale and development mode cannot be used. The mechanized production mode ( M2 ) of family farms with strip compound planting realized the mechanization of farmland contiguous operation and field production. However, the technology of strip compound planting and harvesting equipment was not yet mature, resulting in the overall operation efficiency of the model being lower than that of the cooperative model. The model can improve land utilization and increase grain production, and it was suitable for promotion in family farms; under the “full mechanization + digitalization” production mode ( M3 ) of cooperatives, large and medium-sized machinery can give full play to operational efficiency and fuel efficiency in farmland after mechanization transformation. Efficiency advantage, at the same time, post-production drying and primary processing improved grain quality and efficiency, and realized the mechanization of the whole process of pre-production, production and post-production. In addition, the digital management system effectively improved the efficiency of agricultural management and equipment use. This model was suitable for cooperatives in hilly and mountainous areas. The whole-process mechanized production mode (M4) of large-scale cooperatives’ planting and breeding cycle realized an agricultural industrial chain combining planting and breeding on the basis of the whole-process high-efficiency mechanical empowerment. The silage straw produced by cooperatives was sold to dairy farms for production. The feed was processed, and the organic fertilizer produced by the dairy cows was supplied to the cooperative for recycling. This model realized ecological and economic farming and was suitable for promotion in some large farming counties. The comprehensive evaluation values of the four modes were 0. 31, 0. 67, 0. 86 and 0. 79, and the order from large to small was as follows; M3, M4, M2 and Ml ; the evaluation results were in line with the reality, and the index system can objectively evaluate the characteristics of each mechanized production mode, which can be used for the selection and improvement of the mechanized production mode of each operating entity in the hilly and mountainous areas of the southwest, which provided a theoretical basis, and it was further improved in practice. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 29

Main heading: Farms

Controlled terms: Agricultural machinery? - ?Fertilizers? - ?Grain (agricultural product)? - ?Information management? - ?Mechanization? - ?Production efficiency? - ?Quality control

Uncontrolled terms: Agricultural mechanization? - ?Evaluation system? - ?Hill areas? - ?Hilly and mountainous areas? - ?Mechanisation? - ?Mountainous area? - ?Plantings? - ?Production modes? - ?Southwest China? - ?Whole process

Classification code: 601 Mechanical Design? - ?804 Chemical Products Generally? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.1 Agricultural Machinery and Equipment? - ?821.2 Agricultural Chemicals? - ?821.4 Agricultural Products? - ?913 Production Planning and Control; Manufacturing? - ?913.3 Quality Assurance and Control? - ?913.4 Manufacturing

DOI: 10.6041/j.issn.1000-1298.2022.S1.014

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

5. Review on Non-destructive Detection Methods of Grape Quality Based on Machine Vision

Accession number: 20231013687203

Title of translation:

Authors: Liu, Yunling (1); Zhang, Tianyu (1); Jiang, Ming (2); Li, Bo (3); Song, Jianli (4)

Author affiliation: (1) College of Information and Electrical Engineering, China Agricultural University, Beijing; 100083, China; (2) Yantai Academy, China Agricultural University, Yantai; 264670, China; (3) Shandong Academy of Crape, Ji’nan; 250100, China; (4) College of Science, China Agricultural University, Beijing; 100193, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 299-308

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: As the grape production increases year by year, the quality detection of grapes in the field becomes more and more important to improve the economic benefits after flowing into the market. The traditional method of external quality detection, which mainly relies on the observation of workman, introduces non-negligible errors. The intrinsic quality detection is considered as destructive and inefficient by using the method of sugar level testing of grapes. With the development of deep learning and image processing technology, the field grape quality detection based on machine vision overcomes the limitations of traditional manual inspection and has the advantages of fast, accurate, real-time and lossless. According to grape varieties and quality evaluation indicators, a systematical analysis and summary of the research related to the non-destructive quality detection method of grapes in the field was provided based on machine vision technology. The main body consisted of two parts, which were machine vision detection methods of grape varieties and machine vision detection methods of grape quality. The common factors affecting the quality of grapes were obtained on the basis of the analysis of different grape variety evaluation factors. The intrinsic quality factors included soluble solids, total acid, total phenol and moisture content while the external quality factors included fruit size, quantity, color, and disease defects and so on. Several methods of grape variety identification based on fruit and leaf were introduced, including canonical correlation analysis, support vector machine, and deep learning. The detection method based on fruit characteristics was more accurate, while the detection method based on leaf characteristics can be applied to a longer growth period. As the variety of grapes differred, the standard of their internal and external quality also varied. A detailed summary of the research related to the non-destructive quality detection methods for the intrinsic quality and external quality of grapes in the field was provided. For the quality detection of grapes, the comparison was conducted between the traditional morphological methods such as thresholding, the edge contour search and the corner detection algorithm with the deep learning methods such as Mask R - CNN. It was concluded that the deep learning detection method held the advantages of strong scalability, fast detection speed and high accuracy. In addition, the application principle and advantages and disadvantages of near-infrared spectroscopy and hyperspectral imaging technology in intrinsic quality detection were summarized. Hyperspectral technology outperformed in terms of accuracy, while near-infrared spectroscopy technology had lower cost and faster analysis speed. In the field of non-destructive quality detection of grapes, machine vision algorithms based on spectral analysis still faced the challenges of complex field grape growth environment and variable daytime light. Finally, in view of the difficulty of image acquisition, insufficient multi-dimensional image information, and weak foundation of detection instruments faced by non-destructive quality detection methods of grapes in the field, it was proposed that it was necessary to improve the intelligent equipment for data collection and analysis while improving the machine vision algorithm, thus providing efficient tools combining software and hardware for the quality detection of grapes in the field. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 55

Main heading: Computer vision

Controlled terms: Deep learning? - ?Fruits? - ?Hyperspectral imaging? - ?Infrared devices? - ?Learning systems? - ?Near infrared spectroscopy? - ?Quality control? - ?Support vector machines

Uncontrolled terms: Deep learning? - ?Detection methods? - ?External quality? - ?Field grape? - ?Grape variety? - ?Machine-vision? - ?Non destructive? - ?Nondestructive detection? - ?On-machines? - ?Quality detection

Classification code: 461.4 Ergonomics and Human Factors Engineering? - ?723 Computer Software, Data Handling and Applications? - ?723.5 Computer Applications? - ?741.2 Vision? - ?746 Imaging Techniques? - ?821.4 Agricultural Products? - ?913.3 Quality Assurance and Control

DOI: 10.6041/j.issn.1000-1298.2022.S1.033

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

6. Design and Test of Double-layer Inclined Vibrating Air-screen Castor Cleaning Device

Accession number: 20231013687114

Title of translation:

Authors: Hou, Junming (1); Ren, Zhaotan (1); Zhu, Hongjie (1)

Author affiliation: (1) College of Engineering, Shenyang Agricultural University, Shenyang; 110866, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 39-51

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Castor effluent has complex components, high impurity content and low efficiency after cleaning. There is no special cleaning device. A double-layer inclined vibrating air-screen castor cleaning device was designed. Firstly, the overall structure of the cleaning device was designed, and the double-layer wind blowing synchronous vibration structure was determined. Secondly, the key components of the device, such as vibrating screen, cleaning chamber and discharge port, were designed. The discrete element method (DEM) was used to optimize the structure of cleaning screen. The ZheBi No. 4 varieties was taken as the test material, and then the discrete element parameters of the material were measured. Through the single factor test, the effects of the upper screen hole distribution, the screen hole size and the screen surface inclination on the screening efficiency and loss rate were analyzed. The optimum design parameters were determined as follows; the U-shaped mesh arrangement, the mesh diameter of 14 mm, and the inclination angle of the screen surface of 8°. The parameters of the single objective function were optimized. When the vibration amplitude of the vibrating screen was 8.43 mm, the vibration frequency of the vibrating screen was 6 Hz, and the transverse angle of the air flow was 40°, the maximum screening efficiency of castor effluent was 98. 20%. When the vibrating screen amplitude was 7 mm, the vibrating frequency was 7.76 Hz, and the transverse angle of air flow was 40.81°, the minimum loss rate of castor seeds was 2.02%. Through the single factor test, the effects of the distribution form, size and inclination angle of the upper screen surface on the screening efficiency and loss rate were analyzed, and then the best distribution form, size and inclination angle of the screen surface were determined. In order to obtain the optimal working parameters, the coupling method of discrete element method and computational fluid dynamics (CFD) was applied to simulate and analyze the cleaning process. Taking the amplitude, vibration frequency and transverse angle of air flow of vibrating screen as test factors, the screening efficiency and loss rate as test indexes, the ternary quadratic orthogonal combination test was designed. The mathematical regression model between each factor and index was established, and the parameters of the model were optimized. The results showed that when the amplitude of the vibrating screen was 9. 00 mm, the vibration frequency of the vibrating screen was 6. 16 Hz and the transverse angle of the air flow was 40. 00°, the screening efficiency of the castor cleaning device and the loss rate of castor seeds were the best, which were 97.66% and 2. 32% respectively. Through the bench test, the optimal parameter combination was tested. The actual efficiency and loss rate were 93. 15% and 6. 94% respectively, and the error with the predicted results was controlled within 5%. At the same time, the actual grain impurity content was 0. 83%, which met the application requirements. The research result can provide a theoretical basis for the design of castor cleaning device. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 25

Main heading: Air

Controlled terms: Cleaning? - ?Computational fluid dynamics? - ?Efficiency? - ?Finite difference method? - ?Mesh generation? - ?Structural design

Uncontrolled terms: Air flow? - ?Castor extract? - ?Cleaning devices? - ?Discrete elements method? - ?Double layers? - ?Double-layer inclined vibrating air-screen? - ?Inclination angles? - ?Loss rates? - ?Screening efficiency? - ?Vibration frequency

Classification code: 408.1 Structural Design, General? - ?723.5 Computer Applications? - ?802.3 Chemical Operations? - ?804 Chemical Products Generally? - ?913.1 Production Engineering? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory? - ?921.6 Numerical Methods? - ?931.1 Mechanics

Numerical data indexing: Frequency 1.60E+01Hz, Frequency 6.00E+00Hz, Frequency 7.76E+00Hz, Percentage 1.50E+01%, Percentage 2.00E+01%, Percentage 2.02E+00%, Percentage 3.20E+01%, Percentage 5.00E+00%, Percentage 8.30E+01%, Percentage 9.40E+01%, Percentage 9.766E+01%, Size 0.00E00m, Size 1.40E-02m, Size 7.00E-03m, Size 8.43E-03m

DOI: 10.6041/j.issn.1000-1298.2022.S2.005

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

7. Obstacle Winding Strategy of Rice Transplanter Based on Optimized Artificial Potential Field Method

Accession number: 20231013685796

Title of translation:

Authors: Jiang, Longteng (1, 2); Chi, Ruijuan (1, 2); Xiong, Zexin (1, 2); Ma, Yueqi (1, 2); Ban, Chao (1, 2); Zhu, Xiaolong (1, 2)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) Vehicle Intelligent Control Laboratory, China Agricultural University, Beijing; 100083, China

Corresponding author: Chi, Ruijuan(chiruijuan@cau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 20-27

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problems that the obstaeles such as ditches, ridges, stones and electric poles in paddy fields make the rice transplanter unable to ensure the continuity of operation and the straightness of rice transplanting, a path planning strategy for rice transplanter around obstacles based on optimized artificial potential field method was designed. The relative distance between the real-time position of the transplanter and the target operation point was added as the judgment condition to dynamically change the size of the potential field. At the same time, a virtual local target point was set up to make up for the algorithm defects of the target point unreachable and local minimum point of the traditional artificial potential field method. The transplanter was simplified into a two wheeled vehicle model, the mathematical model of the steering system of the transplanter was established, and the expressions of the speed, heading angle and front wheel angle of the transplanter were obtained. The lateral deviation and heading deviation were used as the factors to judge the effect of path optimization. The steering controller used the compound fuzzy PID algorithm to control the rotation angle of the transplanter, continuously reduce the deviation between the ideal front wheel rotation angle and the actual rotation angle, and realize the optimization of the rotation angle. Using ultrasonic sensor to detect road obstacles in real time and RTK - GPS to update the position coordinates in real time, the steering control strategy of rice transplanter around obstacles was designed. The obstacle avoidance path control strategy of the optimized artificial potential field method was simulated by Matlab. The results showed that when the obstacles were not within the influence range, the maximum transverse position deviation of the straight-line tracking of the rice transplanter was 5 cm, the average deviation was about 2 cm, and the maximum obstacle avoidance transverse deviation was less than 0. 5 m. The optimized algorithm had good control accuracy and can avoid the problem of unreachable target points. Based on Yangma Vp6E rice transplanter as the experimental platform, the real vehicle experiment was carried out. The experimental results showed that when the rice transplanter ran at the speed of 0. 5 m/s, 1. 0 m/s and 1. 5 m/s, the maximum lateral deviation of the left side obstacle was no more than 1. 221 8 m, the maximum heading deviation was 30. 149 1°, the average lateral deviation of the straight line tracking before and after the obstacle was 0. 025 m, and the average heading deviation was 3. 12°. The maximum lateral deviation of the right side obstacle was not more than 1.245 9 m, the maximum heading deviation was 25.229 4°, the average lateral deviation of straight-line tracking before and after the obstacle was 0. 023 m, and the average heading deviation was 3. 36°. The designed obstacle avoidance method can meet the obstacle avoidance requirements of the transplanter during driving, and had good feasibility and robustness. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 22

Main heading: Motion planning

Controlled terms: Automobile steering equipment? - ?Rotation? - ?Steering? - ?Ultrasonic applications? - ?Wheels

Uncontrolled terms: Artificial potential fields method? - ?Independent decision? - ?Lateral deviation? - ?Line tracking? - ?Obstacle avoidance path planning? - ?Obstacles avoidance? - ?Rice transplanter? - ?Rotation angles? - ?Self-guided rice transplanter? - ?Target point

Classification code: 601.2 Machine Components? - ?662.4 Automobile and Smaller Vehicle Components? - ?753.3 Ultrasonic Applications? - ?931.1 Mechanics

Numerical data indexing: Size 5.00E+00m, Size 5.00E-02m, Size 8.00E+00m, Size 9.00E+00m, Velocity 0.00E00m/s, Velocity 5.00E+00m/s, Size 2.00E-02m, Size 2.30E+01m, Size 2.50E+01m

DOI: 10.6041/j.issn.1000-1298.2022.S1.002

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

8. Soil Organic Matter Characteristic Wavelength Extraction and Prediction Model Based on Moisture and Particle Size

Accession number: 20231013687113

Title of translation:

Authors: Cao, Yongyan (1); Yang, Wei (1); Wang, Dong (1); Li, Hao (1); Meng, Chao (1)

Author affiliation: (1) Key Laboratory of Smart Agriculture Systems, Ministry of Education, China Agricultural University, Beijing; 100083, China

Corresponding author: Yang, Wei(cauyw@cau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 241-248

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to reduce the influence of moisture and particle size on the soil organic matter prediction model established by the characteristic wavelengths selected in the traditional way, a method of extracting characteristic wavelengths was proposed. Sixty soil samples were collected from Shangzhuang Experimental Station of China Agricultural University, and the samples were naturally dried and divided into two, one portion was formulated into five particle size gradients ( particle size of 2 ~2. 5 mm, 1. 43 ~ 2 mm, 1 ~ 1. 43 mm, 0. 6 ~ 1 mm, and 0 ~ 0. 6 mm), the other part was sieved through 0. 6 mm and formulated into five moisture gradients (5%, 10%, 15%, 20%, and 25% moisture content). The true values of soil organic matter content and soil spectral information were obtained by standard instruments, and the characteristic wavelengths were extracted by using the random frog-hopping algorithm. Totally seven wavelengths with high correlation with the true values of soil organic matter content were selected as the characteristic wavelengths under each moisture and particle size gradient, and multiple linear regression ( MLR), partial least squares ( PLS) and random forest ( RF) models were established respectively. The results showed that the R2of the modeling and prediction sets of the three models basically tended to decrease as the water content increased; the R2of the modeling and prediction sets of the three models was the lowest in the gradient of 2 ~ 2. 5 mm, highest in the gradient of 0 ~ 0. 6 mm, and close to the R of the modeling and prediction sets in the rest of the gradient. Combined with the filter bandpass range of ±15 nm, eight characteristic wavelengths of soil organic matter under moisture gradient were selected as the same or close to each other, and six characteristic wavelengths under particle size gradient were selected, and finally six wavelengths were eliminated under the 14 characteristic wavelengths determined under moisture gradient and particle size gradient by combining chemical bonding characteristics, and eight characteristic wavelengths were determined as follows; 932 nm, 999 nm, 1 083 nm, 1 191 nm, 1 316 nm, 1 356 nm, 1 583 nm, and 1 626 nm. The MLR, PLS and RF models were established respectively, and the results showed that the R2of the modeling set and the R of the prediction set were not less than 0. 8 and 0. 75 for the three models established by the final selected organic matter characteristic wavelengths, and the best prediction effect was achieved by PLS, with the R2of the modeling set and the R2of the prediction set being 0. 880 9 and 0. 840 2, respectively. The model established had better applicability and prediction effect, and the influence of moisture and particle size on prediction was eliminated to a certain extent compared with the traditional way. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 27

Main heading: Particle size

Controlled terms: Biogeochemistry? - ?Forecasting? - ?Forestry? - ?Least squares approximations? - ?Linear regression? - ?Moisture determination? - ?Organic compounds? - ?Soil surveys? - ?Soils? - ?Water content

Uncontrolled terms: %moisture? - ?Characteristic wavelength? - ?Modelling and predictions? - ?Moisture gradient? - ?Partial least-squares? - ?Particles sizes? - ?Size gradient? - ?Soil organic matters? - ?Spectra’s? - ?Three models

Classification code: 481.2 Geochemistry? - ?483.1 Soils and Soil Mechanics? - ?801.2 Biochemistry? - ?804.1 Organic Compounds? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?921.6 Numerical Methods? - ?922.2 Mathematical Statistics? - ?944.2 Moisture Measurements

Numerical data indexing: Percentage 1.00E+01%, Percentage 1.50E+01%, Percentage 2.00E+01%, Percentage 2.50E+01%, Percentage 5.00E+00%, Size 1.50E-08m, Size 1.91E-07m, Size 3.16E-07m, Size 3.56E-07m, Size 4.30E-02m to 2.00E-03m, Size 4.30E-02m, Size 5.00E-03m, Size 5.83E-07m, Size 6.00E-03m to 1.00E-03m, Size 6.00E-03m, Size 6.26E-07m, Size 8.30E-08m, Size 9.32E-07m, Size 9.99E-07m

DOI: 10.6041/j.issn.1000-1298.2022.S1.026

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

9. Driving Torque Characteristics of Oscillating Slat Shovel for Rhizome Crops Harvest Device

Accession number: 20231013686008

Title of translation:

Authors: Wan, Lipengcheng (1, 2); Li, Yonglei (1, 2); Huang, Jinqiu (1, 2); Song, Jiannong (1, 2); Dong, Xiangqian (1, 2); Wang, Jicheng (1, 2)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) The Soil - Machine - Plant Key Laboratory, Ministry of Agriculture and Rural Affairs, Beijing; 100083, China

Corresponding author: Li, Yonglei(liyl0393@cau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 191-200 and 339

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The driving torque of the oscillating slat shovel harvesting device is determined by four groups of single torque coupling, and the maximum driving torque and torque fluctuation directly affect the power matching and effective power output of the tractor. Analytical equations and discrete element simulation were used to analyze the characteristics of the driving torque waveform of the harvesting device. The single torque showed a double peak per cycle and the strength of adjacent cycles. Due to the vibration balance between groups and soil viscoplasticity, the driving torque showed a double peak per cycle and a slight change in adjacent cycles. The peak value was about 1.2 ~ 2. 3 times of the single torque. The maximum driving torque, torque fluctuation and specific power consumption were taken as the driving torque characteristics and influencing factors of the harvesting device. Based on the force analysis of the working monomer, the monomer torque, driving torque and specific power consumption were established as the indexes, and the four-factor and three-level Box - Behnken simulation experiment was carried out. The experimental results showed that the amplitude, vibration frequency, excavation depth, forward speed, and the interaction term between amplitude and vibration frequency had significant influence on the maximum driving torque. Under the fixed working condition, when the amplitude was 8-10 mm and the vibration frequency was 8 ~9. 67 Hz, the maximum driving torque had a better value. The vibration frequency, excavation depth and their interaction were the main factors affecting the torque ripple. Under fixed conditions, when the vibration frequency was 8.67 ~ 10.67 Hz, the torque ripple had a better value, and the excavation depth can be 350 -450 mm. The vibration frequency, amplitude, forward velocity, excavation depth, and the interaction term between vibration frequency and forward velocity were the most important factors affecting the specific power consumption. Under fixed conditions, when the forward velocity was 0. 35 ~ 0. 45 m/s, and the vibration frequency was 7. 67 ~9. 67 Hz, there was a numerical optimal value of specific power consumption. The field test results of liquorice harvester showed that when the excavation depth was 450 ~ 500 mm ( condition 1 ), the driving torque showed a double peak per cycle and the adjacent strength changed, the maximum driving torque was 797. 17 N·m, the torque fluctuation was 2.54, the specific power consumption was 122.06 kj/m3, and the liquorice harvest rate was 96. 42% . With the excavation depth reduced to 350 -400 mm ( condition 2), the strong and weak cycles of driving torque were not obvious. Compared with condition 1, the maximum driving torque was decreased by about 39. 44%, and the torque fluctuation was decreased by about 27. 95%, and the specific power consumption was basically the same. The oscillating slat shovel harvesting device had good torque balance ability, which can provide reference for the research on vibration drag reduction and energy saving harvesting of rhizome crops, especially deep rhizome crops harvesting equipment. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 30

Main heading: Harvesting

Controlled terms: Electric power utilization? - ?Excavation? - ?Harvesters? - ?Shovels? - ?Torque

Uncontrolled terms: Condition? - ?Double peak? - ?Driving torques? - ?Harvesting devices? - ?Oscillating slat shovel? - ?Rhizome? - ?Simulation? - ?Specific power consumption? - ?Torque fluctuation? - ?Vibration frequency

Classification code: 706.1 Electric Power Systems? - ?821.1 Agricultural Machinery and Equipment? - ?821.3 Agricultural Methods? - ?931.2 Physical Properties of Gases, Liquids and Solids

Numerical data indexing: Energy 1.2206E+05J, Frequency 6.70E+01Hz, Frequency 8.67E+00Hz to 1.067E+01Hz, Percentage 4.20E+01%, Percentage 4.40E+01%, Percentage 9.50E+01%, Size 3.50E-01m to 4.00E-01m, Size 3.50E-01m to 4.50E-01m, Size 4.50E-01m to 5.00E-01m, Size 8.00E-03m to 1.00E-02m, Torque 1.70E+01N.m, Velocity 4.50E+01m/s

DOI: 10.6041/j.issn.1000-1298.2022.S1.020

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

10. Cherry Fruit Detection Method in Natural Scene Based on Improved YOLO v5

Accession number: 20231013687268

Title of translation: YOLO v5

Authors: Zhang, Zhiyuan (1, 2); Luo, Mingyi (1, 2); Guo, Shuxin (1, 2); Liu, Gang (1, 2); Li, Shuping (1, 2); Zhang, Yao (1, 2)

Author affiliation: (1) College of Information and Electrical Engineering, China Agricultural University, Beijing; 100083, China; (2) Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing; 100083, China

Corresponding author: Zhang, Yao(zhangyao@cau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 232-240

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to improve the accuracy of cherry fruit recognition and the working efficiency of orchard automatic picking robot, totally 1 816 sets of cherry original images collected in Yantai Academy of Agricultural Sciences and data images obtained with different data enhancement methods were used to establish the data set, the data set was divided into training set and test set according to rate of 8: 2, and YOLO v5 model was used to identify and detect cherry data sets enhanced by different data enhancement methods and combined enhancement methods based on the in-depth learning network. The results showed that offline enhancement and online enhancement had a certain positive effect on the improvement of model accuracy. The offline data enhancement strategy could significantly and stably increase the detection accuracy, and the online data enhancement strategy could slightly improve the detection accuracy. Using the combination of offline enhancement and online enhancement at the same time could greatly improve the average detection accuracy. In view of the mutual occlusion between cherry fruits and the difficulty in detecting small cherry targets in the picture, the detection accuracy of cherry fruits in the natural environment was low, the backbone network of YOLO v5 was changed, the transformer module with attention mechanism was added, and the neck structure was changed from the original pafpn to bifpn which could carry out two-way weighted fusion. The P2 module of shallow down sampling was added to the head structure. The experimental results showed that compared with other existing models and the improved YOLO v5 model with a single structure, the comprehensive improved model proposed had the highest detection accuracy, and the mAP@0. 5: 0.95 was increased by 2.9 percentage points. The results showed that this method effectively enhanced the efficiency and accuracy of feature fusion in the recognition process, and significantly improved the detection effect of cherry fruit. At the same time, the trained network model was deployed on the Android platform. The system was simple and clear to use, and the requirements of user equipment environment were not high. Therefore, the system had certain practicability. It could detect cherry fruit in real time and accurately in the field environment, which laid a foundation for practical applications such as automatic service picking in the future. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 20

Main heading: Fruits

Controlled terms: Agricultural robots? - ?Efficiency? - ?Image enhancement? - ?Learning systems? - ?Statistical tests

Uncontrolled terms: Attention mechanisms? - ?Cherry? - ?Data enhancement? - ?Data set? - ?Detection accuracy? - ?Detection methods? - ?Natural scenes? - ?Offline? - ?Targets detection? - ?YOLO v5

Classification code: 731.5 Robotics? - ?821.1 Agricultural Machinery and Equipment? - ?821.4 Agricultural Products? - ?913.1 Production Engineering? - ?922.2 Mathematical Statistics

DOI: 10.6041/j.issn.1000-1298.2022.S1.025

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

11. Attitude Control Simulation of Mountain Tractor Based on Semi-active Suspension

Accession number: 20231013692743

Title of translation:

Authors: Liu, Guohui (1); Hao, Chenyi (2); Li, Minzan (1, 3); Sun, Hong (1, 4)

Author affiliation: (1) Key Laboratory of Smart Agriculture Systems, Ministry of Education, China Agricultural University, Beijing; 100083, China; (2) College of Agricultural Engineering, Shanxi Agricultural University, Taigu; 030801, China; (3) Yantai Institute, China Agricultural University, Yantai; 264670, China; (4) Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing; 100083, China

Corresponding author: Sun, Hong(sunhong@cau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 338-348

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to improve the operation stability of mountain tractors in complex farmland environment, based on the Matlab/Simulink simulation platform, a time-domain simulation model of a semi-active suspension tractor with D-level road roughness as the road excitation was established and which had seven degrees of freedom. The simulation time domain model included four-wheel road excitation model, semi-active suspension vibration model, semi-active suspension vibration model, semi-active suspension tractor time domain simulation model, the vertical displacement of body, body inclination angle and body pitch angle were used as the attitude change parameters of the tractor to carry out the simulation test. By constructing the incremental proportion integration differentiation, ( PID ) controller and the back propagation( BP) neural network PID controller simulation model, the automatic control of the body attitude of the semi-active suspension tractor was realized,and the control performances of the two controllers were respectively evaluated. Using the vertical acceleration of the body and the relative dynamic load of the wheels as the performance evaluation indexes of the semi-active suspension system, the performance of the semi-active suspension under the two control modes was evaluated. The simulation results showed that for the semi-active suspension tractor based on the traditional incremental PID control algorithm, the RMS value of the body vertical displacement was reduced by 42. 17%, the root mean square value of the roll angle was reduced by 36. 76%, and the root mean square value of the pitch angle was reduced by 57. 85% . The vertical acceleration of the vehicle body was 0.017 7 m/s2, and the RMS values of dynamic load of the four wheels were 0.028 4 N, 0. 034 6 N, 0. 023 9 N, and 0. 030 4 N, respectively. The semi-active suspension tractor based on the BP neural network PID control algorithm reduced the RMS value of the body vertical displacement by 74. 54%, the root means square value of the roll angle by 74. 66%, and the root mean square value of the pitch angle by 75. 03% . The vertical acceleration of the body was 7. 575 8 × 105m/s2, and the RMS values of dynamic load of the four wheels were 0. 019 7 N, 0. 023 5 N, 0. 016 6 N and 0. 019 8 N, respectively. Compared with the semi-active suspension tractor controlled by incremental PID, the body stability of the semi-active suspension tractor based on BP neural PID control was better improved, which provided a theoretical basis for the design of the mountain tractor control system. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 29

Main heading: Wheels

Controlled terms: Acceleration? - ?Active suspension systems? - ?Automobile suspensions? - ?Backpropagation? - ?Controllers? - ?Degrees of freedom (mechanics)? - ?Dynamic loads? - ?MATLAB? - ?Neural networks? - ?Roads and streets ? - ?Simulation platform? - ?Three term control systems? - ?Time domain analysis? - ?Tractors (agricultural)? - ?Tractors (truck)? - ?Vibrations (mechanical)

Uncontrolled terms: Attitude adjustment? - ?Back propagation neural network proportion integration differentiation,? - ?Back-propagation neural networks? - ?Control simulation? - ?Mean square values? - ?Mountain tractor? - ?Proportion integration differentiations? - ?RMS values? - ?Root Mean Square? - ?Semi active suspension

Classification code: 406.2 Roads and Streets? - ?408.1 Structural Design, General? - ?601.2 Machine Components? - ?662.4 Automobile and Smaller Vehicle Components? - ?663.1 Heavy Duty Motor Vehicles? - ?723.4 Artificial Intelligence? - ?723.5 Computer Applications? - ?731.1 Control Systems? - ?731.2 Control System Applications? - ?732.1 Control Equipment? - ?821.1 Agricultural Machinery and Equipment? - ?921 Mathematics? - ?931.1 Mechanics

Numerical data indexing: Force 4.00E+00N, Force 5.00E+00N, Force 6.00E+00N, Force 7.00E+00N, Force 8.00E+00N, Force 9.00E+00N, Percentage 1.70E+01%, Percentage 3.00E+00%, Percentage 5.40E+01%, Percentage 6.60E+01%, Percentage 7.60E+01%, Percentage 8.50E+01%, Velocity 5.00E+00m/s, Velocity 7.00E+00m/s

DOI: 10.6041/j.issn.1000-1298.2022.S2.039

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

12. Parameter Optimization and Experiment of Forward Laying Device for Rape Windrower Based on ADAMS

Accession number: 20231013687230

Title of translation: ADAMS

Authors: Shu, Caixia (1, 2); Cao, Shichuan (1); Liao, Yitao (1, 2); Liao, Qingxi (1, 2); Wan, Xingyu (1); Li, Yuntong (1)

Author affiliation: (1) College of Engineering, Huazhong Agricultural University, Wuhan; 430070, China; (2) Key Laboratory of Agricultural Equipment in Mid-lower Reaches of The Yangtze River, Ministry of Agriculture and Rural Affairs, Wuhan; 430070, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 11-19 and 38

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The conventional vertical rape windrower, whose laying direction of the rape plants is perpendicular to the forward direction of the windrower, still has the challenge to guarantee stable feeding rate of the following pick-up operation due to the inconsistent laying angle, highlighting a need to change the way of laying. As a solution, a forward laying device for rape windrower, whose operation parameters were analyzed, was proposed and the simulation experiments was carried out to optimize the laying quality based on ADAMS. Focusing on the moving of the rape plant at the outlet of the header, the horizontal throwing movement of the plant and its following fixed axis rotation after landing at the ground were analyzed based on kinematics and dynamics, indicating that the laying angle was related to the initial velocity and fixed axis rotation time of the plant. It was found that the main factors affecting the laying quality were forward speed of the windrower, speed ratio of transverse conveyor chain, and inclination angle of the header. Furthermore, the laying process under the coordination of the wheel and the guide plate was analyzed. The number of wheel teeth was 7 while the rotational angular velocity was 6.27 rad/s. In addition, the curve parameter equation of the guide plate was also determined, and a four-bar mechanism was designed. Based on ADAMS, a multi-body kinematic simulation model of the forward laying device was constructed. By taking the forward speed of the windrower, transverse transmission chain speed ratio and inclination angle of the header as factors, the laying angle was utilized to evaluate the laying quality in the Box - Behnken simulation experiment with three factors and three levels. The mathematical relationship model between the laying angle and every factor was obtained to figure out the optimization objective function to minimize the laying angle. With the assistance of the Design-Expert software, the optimal parameter combination was obtained, and then it was validated by simulation and field experiment. The results of the Box - Behnken experiment indicated that the optimal parameter combination was forward speed of 0.93 m/s, transverse conveying chain speed ratio of 1.11, and inclination angle of 117.93°. The theoretical optimal laying angle was 15.25° under this condition. The results of the simulation experiment illustrated that the simulation value of laying angle was 14.42° under the optimal combination of parameters, and the relative error was 5.4% when compared with the theoretical value. The field experiment showed that the forward laying device could work smoothly without blockage. The average laying angle, average laying width and average laying height were 17. 25°, 752 mm and 323 mm, respectively, which could meet the demand of actual production. The research could provide a reference for the structural improvement and optimization of the laying device for vertical rape windrower. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 22

Main heading: Wheels

Controlled terms: Angular velocity? - ?Chain conveyors? - ?Computer software? - ?Conveying? - ?Kinematics

Uncontrolled terms: ADAMS? - ?Forward laying? - ?Forward speed? - ?Inclination angles? - ?Parameter optimization? - ?Rape plant? - ?Rape windrower? - ?Rapesed? - ?Speed ratio? - ?Windrowers

Classification code: 601.2 Machine Components? - ?692.1 Conveyors? - ?723 Computer Software, Data Handling and Applications? - ?931.1 Mechanics

Numerical data indexing: Angular velocity 6.27E+00rad/s, Percentage 5.40E+00%, Size 3.23E-01m, Size 7.52E-01m, Velocity 9.30E-01m/s

DOI: 10.6041/j.issn.1000-1298.2022.S2.002

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

13. Test Bench Study on Harvesting Characteristics of Sweet Potato Vines

Accession number: 20231013685785

Title of translation:

Authors: Li, Tao (1, 2); Wei, Xuncheng (1, 2); Jiang, Wei (1, 2); Li, Na (1, 2); Zhang, Hua (1, 2); Zhou, Jin (1, 2)

Author affiliation: (1) Shandong Academy of Agricultural Machinery Sciences, Ji’nan; 250100, China; (2) Huang Huai Hai Key Laboratory of Modern Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Ji’nan; 250100, China

Corresponding author: Li, Na(107141301@qq.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 166-175

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Sweet potato vines grow lush, and crawl seriously, which arc hard to be separated. Manual cutting of vines was characterized by high labor intensity, high cost and low efficiency, which affected the normal harvest operation. For the problems of transport device blockage, large power consumption and difficulty of collecting operating parameters in the harvest process, the sweet potato vines harvesting test bench was designed. The test bench consisted of feeding device, cutting table device and control system, and the feeding velocity, the clipping velocity and the cutting velocity can be adjusted. Sweet potato vines cleaning rate, cutting force, and cutting torque were the main indicators of evaluating the test bench. The tests were grouped the response surface tests and the verifying tests. The testing factors were the feeding velocity (ranging from 0. 3 m/s to 0. 8 m/s), the ratio of clipping velocity to feeding velocity (ranging from 1. 03 to 1. 87) and the cutting velocity ( ranging from 0. 96 m/s to 1. 64 m/s), and five levels was set for each factor. The response surface testing scheme designed with the central composite design ( CCD ) method was a three-factor five-level testing scheme. The mathematical model of the response surface was established, and the influence of each factor on the bench operation performance was analyzed and optimized. The result showed that when the feeding velocity was small, the ratio of clipping velocity to feeding velocity was high and there was a moderate cutting velocity. As such, the overall impact trend of the vines cleaning rate was high. When the cutting velocity was high, the cutting force and the cutting torque was small. The feeding velocity and the ratio of clipping velocity to feeding velocity had no significant impact on the cutting force and the cutting torque. The experiment results also showed that the order of the factors affecting of the vines cleaning rate was ratio of clipping velocity, feeding velocity, and cutting velocity. The order of the main factors affecting of the cutting force and the cutting torque was cutting velocity, ratio of clipping velocity, and feeding velocity. It was concluded that the optimal combination of the working parameters of the bench was as follows; 0. 55 m/s for the feeding velocity, 1.48 for the ratio of clipping velocity to feeding velocity, 1. 50 m/s for the cutting velocity, 91. 0% for the cleaning rate, 152. 89 N for the cutting force, 5. 87 N · m for the cutting torque. By comparing the mathematical model and the experimental result, the error was less than 5%, which meant that the model established was reliable and could be used for optimization. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 26

Main heading: Surface properties

Controlled terms: Cleaning? - ?Cutting? - ?Energy efficiency? - ?Feeding? - ?Harvesting? - ?Torque

Uncontrolled terms: Cleaning rate? - ?Cutting forces? - ?Cutting torque? - ?Cutting velocity? - ?Harvesting characteristic? - ?Response surface? - ?Sweet potato? - ?Sweet potato vine? - ?Test-bench? - ?Testing schemes

Classification code: 525.2 Energy Conservation? - ?691.2 Materials Handling Methods? - ?802.3 Chemical Operations? - ?821.3 Agricultural Methods? - ?931.2 Physical Properties of Gases, Liquids and Solids? - ?951 Materials Science

Numerical data indexing: Percentage 0.00E00%, Percentage 5.00E+00%, Torque 8.70E+01N.m, Velocity 3.00E+00m/s to 0.00E00m/s, Velocity 5.00E+01m/s, Velocity 5.50E+01m/s, Velocity 6.40E+01m/s, Velocity 8.00E+00m/s, Velocity 9.60E+01m/s to 1.00E00m/s, Force 8.90E+01N

DOI: 10.6041/j.issn.1000-1298.2022.S1.017

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

14. Optimization of Tractor Intelligent Console for Driver’s Psychological Load

Accession number: 20231013687207

Title of translation:

Authors: Guo, Weijie (1, 2); Song, Zhenghe (1, 2); Yang, Xiao (1, 2); Li, Zhen (1, 2); Li, Wenjie (1, 2); Luo, Zhenhao (1, 2)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) Beijing Key Laboratory for Optimal Design of Modern Agricultural Equipment, Beijing; 100083, China

Corresponding author: Yang, Xiao(yangxiao2020@eau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 340-347

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The humanized and less humanized operation is still the main working mode of the current mechanized operation. As the core common component of the high-end agricultural machinery, the integrated intelligent console is widely used in tractors, sprayers, harvesters and other large agricultural machinery equipment. As a medium of direct contact with the driver, it has a direct impact on the physical and mental health of the driver. Aiming at the problem of high strength and high psychological load of manual operation, and the requirements of operators’ active health, the domestic typical console was selected. Based on Kansei engineering theory,the psychological load index system was constructed, and the static man-machine semi-physical test of tractor intelligent console was carried out. The principal component model of psychological load was established, and the console based on minimum psychological load was optimized. Firstly, the psychological load evaluation system was constructed, and the man-machine semi-physical test bed was built based on the domestic large tractor. The actual driving video of ploughing condition was selected and the test scheme was designed. Secondly, totally 10 drivers with tractor driving experience were selected to test and record the psychological load index data. Thirdly, the principal component model of psychological load was established according to the experimental data, and the design defects of the psychological load of the console before optimization were analyzed. Finally, based on the results of principal component analysis, in order to minimize the psychological load, the man-machine engineering theory was applied to optimize the console from the aspects of interface element distribution, element color and shape. The optimized console was obtained and then verified by experiments. The results showed that the psychological load of the driver was mainly composed of fatigue perception factors and fatigue mitigation factors. The average psychological comfort score of the console before optimization was 0. 403. The main fatigue perception factor was visual and neck fatigue (weight; 0. 458), and the main fatigue mitigation factor was job self-efficacy (weight; 0. 578) . The average score of the optimized console psychological comfort was increased to 2. 048, which can significantly alleviate the psychological load. The research results can provide some reference for the design of comfort of intelligent tractors, and it can help to improve the design theories of agricultural machinery equipment active health. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 32

Main heading: Principal component analysis

Controlled terms: Agriculture? - ?Fatigue of materials? - ?Tractors (agricultural)? - ?Tractors (truck)

Uncontrolled terms: Driver? - ?Intelligent console? - ?Machinery equipments? - ?Man machines? - ?Man-machine semi-physical test? - ?Optimisations? - ?Optimization design? - ?Physical tests? - ?Principal-component analysis? - ?Psychological load

Classification code: 663.1 Heavy Duty Motor Vehicles? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.1 Agricultural Machinery and Equipment? - ?922.2 Mathematical Statistics? - ?951 Materials Science

DOI: 10.6041/j.issn.1000-1298.2022.S1.038

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

15. Denoising and Registration Method of Group Cherry Trees Canopy Based on 3D Point Cloud

Accession number: 20231013687129

Title of translation:

Authors: Liu, Gang (1); Yin, Yihan (1, 2); Zheng, Zhiyuan (1, 2); Li, Yunhan (1, 2); Liang, Shule (2); Jin, Chen (3)

Author affiliation: (1) Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing; 100083, China; (2) Yantai Institute of China Agricultural University, Yantai; 264670, China; (3) Chinese Academy of Agricultural Mechanization Sciences Group Co., Ltd., Beijing; 100083, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 188-196

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The cultivation density of cherry trees affects the light distribution of their canopies. By studying the three-dimensional structure of group cherry trees, the light distribution of greenhouse sweet cherry trees under different planting densities can be analyzed, which can guide the scientific planting of cherry trees and improve the yield and quality of sweet cherry trees. High quality point cloud data was the basis of constructing the three-dimensional structure of the group cherry tree, and point cloud denoising and registration were the key steps of point cloud data preprocessing. A method for denoising and registration of group cherry trees based on 3D point cloud was proposed to build a 3D information acquisition platform for group cherry trees, and two fixed DK depth cameras were used to obtain the color point cloud data of group cherry trees. A binary classification method based on color region growth was proposed, and the color threshold was set to segment the point cloud and perform binary classification processing, which can effectively remove the abnormal invalid points in the color point cloud data, and set the dispersion of point cloud and RGB value as the evaluation standard of point cloud denoising. Combined with manual labeling method and dual camera pose matrix, an improved ICP method based on color features was proposed to solve the problem that traditional ICP registration algorithm depended on the initial pose and the registration speed was slow. SIFT algorithm was used to extract the color feature points, and the color feature points were combined with ICP algorithm for precise registration. Then the random sampling consistency algorithm in PCL was used to remove the wrong matching points, which effectively reduced the registration time and improved the registration accuracy. Taking 20 groups of group cherry tree point cloud data in summer and winter as experimental objects, the registration accuracy and registration time of ICP algorithm, NDT algorithm, SAC - IA algorithm and the proposed registration method were compared and analyzed. The results showed that the average registration time of the proposed registration method was 5.01 s and 4.30 s, respectively. The root mean square error was 2.316 cm and 2.100 cm respectively, which effectively reduced the registration time and registration error, and verified the effectiveness and universality of the proposed algorithm. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 25

Main heading: Color

Controlled terms: Cameras? - ?Cultivation? - ?Mean square error

Uncontrolled terms: 3D point cloud? - ?Color features? - ?De-noising? - ?Group cherry tree? - ?Point cloud data? - ?Point cloud denoising? - ?Point cloud registration? - ?Point-clouds? - ?Registration methods? - ?Three-dimensional structure

Classification code: 741.1 Light/Optics? - ?742.2 Photographic Equipment? - ?821.3 Agricultural Methods? - ?922.2 Mathematical Statistics

Numerical data indexing: Size 2.10E-02m, Size 2.316E-02m, Time 4.30E+00s, Time 5.01E+00s

DOI: 10.6041/j.issn.1000-1298.2022.S2.021

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

16. Review of Development Process and Research Status of Electric Tractors

Accession number: 20231013687254

Title of translation:

Authors: Liu, Mengnan (1, 2); Lei, Shenghui (2, 3); Zhao, Jinghui (2, 3); Meng, Zhijun (2, 4); Zhao, Chunjiang (2, 4); Xu, Liyou (2, 3)

Author affiliation: (1) YTO Group Corporation, Luoyang; 471039, China; (2) State Key Laboratory of Power System of Tractor, Luoyang; 471039, China; (3) College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang; 471003, China; (4) National Research Center of Intelligent Equipment for Agriculture, Beijing; 100097, China

Corresponding author: Zhao, Chunjiang(zhaocj@nercita.org.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 348-364

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: As an important tool for agricultural energy conservation and emission reduction, electric tractors are also one of the development and transformation directions of agricultural machinery equipment products in the future. A lot of technical research and product trials have been carried out at home and abroad. Starting with the concept of electric tractor technology, the stages of electric tractor technology development and its typical products are sorted out, and the technical characteristics of each stage of development and the main factors affecting the development of electric tractor technology are summarized. The development of battery technology directly affected the power supply mode and watt level as well as the change of the energy system model of electric tractors. The energy density and the cost of use were the main factors that affected the tractor’s pure electrification. Compared with automobiles, tractors had higher load rates during plowing and rotary tillage. At present, the energy density level that can be achieved by battery products had a certain gap in supporting electric tractors in heavy farmland operations effectively and independently. The development of low-power pure electric dedicated plant protection models or the use of multiple energy systems on larger-power tractors was in line with the current state of battery technology and can provide common technical reserves for the realization of pure electric tractors in the future. Based on the existing research results at home and abroad, the current research status of the scheme and design, control technology, simulation and test technology of electric tractor research is analyzed, and the characteristics of existing research results in various directions are summarized. It is necessary to continue to form and improve the theoretical system of electric tractors in the future, so as to gradually achieve universal and standardized electric tractor whole machine and implements, agronomy, energy system, new energy generation and rural energy storage technology and application technology matching and collaborative control. Combined with technologies such as Internet of Things, intelligent control and automatic driving to improve the intelligence level of electric tractors, the research results can provide reference for the development of related technologies. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 121

Main heading: Tractors (agricultural)

Controlled terms: Agricultural technology? - ?Automobile drivers? - ?Electric lines? - ?Electric loads? - ?Emission control? - ?Gas emissions? - ?Secondary batteries? - ?Tractors (truck)

Uncontrolled terms: Battery technology? - ?Development process? - ?Electric tractors? - ?Energy conservation and emission reductions? - ?Energy density? - ?Energy systems? - ?Process status? - ?Research results? - ?Research status? - ?Technology expectations

Classification code: 432 Highway Transportation? - ?451.2 Air Pollution Control? - ?663.1 Heavy Duty Motor Vehicles? - ?702.1.2 Secondary Batteries? - ?706.1 Electric Power Systems? - ?706.2 Electric Power Lines and Equipment? - ?821.1 Agricultural Machinery and Equipment? - ?912.4 Personnel

DOI: 10.6041/j.issn.1000-1298.2022.S1.039

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

17. Experiment on Combined Seedling Picking Device with Top Clamping and Pulling

Accession number: 20231013685995

Title of translation:

Authors: Hu, Jianping (1); Liu, Yutong (1); Liu, Wei (1); Zhang, Siwei (1); Han, Ltihua (1); Zeng, Tianyi (2)

Author affiliation: (1) Key Laboratory of Intelligent Agricultural Machinery and Equipment Theory and Technology, Jiangsu University, Zhenjiang; 212013, China; (2) Runhe (Zhenjiang) Agricultural Equipment Co., Ltd., Zhenjiang; 212013, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 110-117 and 184

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: For the plug-in seedling picking mechanism, when the seedling claws are inserted into the pot to pick up the seedlings, the success rate of seedling picking is low and the pot is broken due to the double influence of the adhesion between the pot and the plug and the poor packing. In order to solve the problem of high rate, a combined seedling picking technology with top clamping and pulling was proposed, the structure and working principle of the seedling picking device were expounded, and the experimental research on the combined top clamping and pulling seedling picking was carried out. Firstly, the 72-hole and 128-hole cucumber plug seedlings were used as the test objects, and the adhesion of the cucumber seedlings at different top seedling speeds ( 10 mm/s, 20 mm/s, 30 mm/s and 40 mm/s) was tested through the top pressure off-disk adhesion test. The test results showed that the top seedling speed had little effect on the adhesion force and the detachment displacement of the seedling pot, and the adhesion force was positively correlated with the detachment displacement of the seedling pot. The value was distributed between 5. 5 mm and 6. 9 mm. Considering the diameter of the seedling tray drain hole and the test results of the top pressure off tray adhesion test, it was determined that the diameter of the mandrel was 6 mm, and the displacement of the top seedling of the mandrel must be greater than 5 mm. Secondly, taking the 72-hole cucumber plug seedlings with a growth cycle of 25 d as the test object, three modes of seedling collection were carried out, namely, the first top and then the top, the side top and the side, and the first plug and then the top. The seedling success rate and pot body integrity rate were the highest. Finally, taking the ejection displacement of the ejector rod, the depth of inserting the seedling claws into the seedling pot and the speed of inserting the seedlings as the test factors, a three-factor and three-level orthogonal test was carried out. The optimal working parameter combination was that the jacking displacement was 15 mm, the depth of inserting the seedling pot was 35 mm, and the speed of inserting the seedling was 225 mm/s. The success rate of seedling removal under this combination was 94. 12%, and the complete rate of the seedling pot was 94. 12%, which satisfied the automatic seedling quality requirements. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 30

Main heading: Adhesion

Uncontrolled terms: Adhesion forces? - ?Adhesion test? - ?Combined seedling picking? - ?High rate? - ?Plug seedling? - ?Plug-ins? - ?Test object? - ?Top clamping and pulling? - ?Top pressures? - ?Transplanting machine

Classification code: 951 Materials Science

Numerical data indexing: Size 9.00E-03m, Velocity 1.00E-02m/s, Velocity 2.00E-02m/s, Velocity 2.25E-01m/s, Velocity 3.00E-02m/s, Velocity 4.00E-02m/s, Percentage 1.20E+01%, Size 1.50E-02m, Size 3.50E-02m, Size 5.00E-03m, Size 6.00E-03m

DOI: 10.6041/j.issn.1000-1298.2022.S1.012

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

18. Soil Moisture Modeling of Corn Full-film Double Ridge Ditch Sowing Based on AquaCrop Model

Accession number: 20231013686066

Title of translation: AquaCrop

Authors: Pan, Haifu (1); Dai, Fei (1); Shi, Ruijie (1); Wang, Feng (1); Deng, Haoliang (2); Ma, Mingsheng (3)

Author affiliation: (1) College of Mechanical and Electrical Engineering, Gansu Agricultural University, Lanzhou; 730070, China; (2) College of Civil Engineering, Hexi University, Zhangye; 734000, China; (3) Institute of Dryland Agriculture, Gansu Academy of Agricultural Sciences, Lanzhou; 730070, China

Corresponding author: Dai, Fei(daifei@gsau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 78-86

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The AquaCrop model driven by water was used to study the simulated yield of full film double ridge sowing technology of corn in Dingxi City from 2016 to 2020, and I1(bare land planting), I2( narrow film planting with 45% mulching rate), I3( wide film planting with 81. 8% mulching rate) and I4( full film double ridge planting with 100% mulching rate) were established respectively. The yield superiority and environmental adaptability of the four models were compared and analyzed, The relationship between sowing date, rainfall and soil moisture was obtained. The results of AquaCrop simulation showed that the model was suitable for simulating dry farming in Dingxi City. The Pearson correlation coefficient (r) between the output simulation value and the measured value of I4 model was greater than 0. 91, the root mean square error ( RMSE) was 0. 1 ~ 0. 24, the normalized root mean square error ( CV ( RMSE) ) was 1. 66% ~ 2. 10%, the Nash efficiency coefficient (EF) was greater than 0. 9, and the consistency index ( d) was greater than 0. 94. The average temperature of the best sowing date in Dingxi City was stable at about 15°C (about April 15 -25 every year). The yield after sowing was the highest in this period. The yield, aboveground biomass and water productivity of the planting mode I4model were 84. 01%, 19. 79% and 101. 13% higher than that of the planting mode I1model, 82. 26%, 19. 74% and 85. 47% higher than that of the planting mode I2model, and 63. 26%, 14. 80% and 82. 63% higher than that of the planting mode I3model, respectively. The total soil water content of I4model in dry years was more than 90% higher than that of I1, I2and I3models, and more than 80% higher in wet years. From 2000 to 2020, the water consumption was higher than the effective rainfall for seven years, and the water consumption was lower than the effective rainfall for 13 years. The simulation results showed that the water consumption of the full film double ridge sowing technology was equal to the rainfall, and the soil water would not be overdrawn. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 29

Main heading: Mean square error

Controlled terms: Correlation methods? - ?Farms? - ?Rain? - ?Soil moisture? - ?Water supply

Uncontrolled terms: Agriculture in dry area? - ?Aquacrop model? - ?Corn? - ?Dry areas? - ?Effective rainfall? - ?Full-film double ridge furrow sowing technology? - ?Plantings? - ?Root mean square errors? - ?Sowing date? - ?Water consumption

Classification code: 443.3 Precipitation? - ?446.1 Water Supply Systems? - ?483.1 Soils and Soil Mechanics? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?922.2 Mathematical Statistics

Numerical data indexing: Age 1.30E+01yr, Percentage 1.00E+01%, Percentage 1.00E+02%, Percentage 1.00E00%, Percentage 1.30E+01%, Percentage 2.60E+01%, Percentage 4.50E+01%, Percentage 4.70E+01%, Percentage 6.30E+01%, Percentage 6.60E+01%, Percentage 7.40E+01%, Percentage 7.90E+01%, Percentage 8.00E+00%, Percentage 8.00E+01%, Percentage 9.00E+01%, Temperature 2.88E+02K

DOI: 10.6041/j.issn.1000-1298.2022.S1.009

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

19. Ammonia Stripping and Acid Absorption Integrated Test Device for Vinasse Slurry Treatment

Accession number: 20231013694179

Title of translation:

Authors: Liu, Shan (1, 2); Liu, Sheng (1); Guo, Baoshou (1); Zhang, Ziqiang (3); He, Rongyu (3); Dong, Renjie (1)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) Yantai Research Institute, China Agricultural University, Yantai; 264670, China; (3) CECEP Green Carbon Environment Protection, Beijing; 100055, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 249-259

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The ammonia nitrogen concentration in vinasse slurry is high, and the use of ammonia stripping technology to recover nitrogen nutrients has problems such as low utilization rate of alkali agent, poor gas-liquid contact effect and low ammonia absorption effect. In order to improve the ammonia recovery efficiency and process economy of vinasse slurry, the conditions of the vinasse slurry ammonia stripping process were optimized, and the effects of different temperatures, Ca (OH)2 dosage and filler types on ammonia stripping and acid absorption were explored. The influence of the operation effect of the integrated test device was evaluated, and the economical evaluation of the ammonia stripping process from the vinasse slurry was carried out. The results showed that the order of importance of influencing factors was obtained by orthogonal test was alkali dosage, air flow and temperature. The optimal process parameter combination was Ca (OH)2 dosage of 6.6 g/L, gas flow of 6 L/min and at a temperature of 52C, the corresponding ammonia nitrogen removal rate was 99.0% Ca (OH)2 had a good removal effect on SCOD and TP, and the corresponding SCOD and TP removal rates were 32.5% and 65.1% under the condition of 6. 6 g/L alkali dosage. The addition of Ca(OH)2 compared with the plan without alkali significantly improved the removal rates of ammonia nitrogen, TN, EC, SCOD and TP in the stripping process, reaching 97.4%-97.7%, 79.8%~84. 2%, 68.3%~77. 4%, 36.8%-45.3% and 77.1 %~91.0%, respectively. The suitable anmonia stripping parameters are hacketten filler 37 and twice adding Ca(OH) 2- The ammonia nitrogen removal rate reaches 97. 4%, the effluent ammonia nitrogen concentration is as low as about 100 mg/L, and the ammonia recovery amount reaches 1. 22 kg/m3-Compared with the scenario of no alkali addition and one-time alkali addition, the ammonia nitrogen removal rate can exceed 97% in the two-time alkali addition process scenario. The effluent ammonia nitrogen concentration was low (about 100 mg/L), and the treatment cost was 9.75 yuan/m, which had a relatively good economy. Therefore, ammonia stripping had good suitability for the treatment of scenario with high ammonia nitrogen concentration. The efficient recovery of nitrogen nutrients through ammonia stripping can relieve the pressure of biogas slurry farmland utilization, which was of great significance for the resource utilization of biogas slurry. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 34

Main heading: Ammonia

Controlled terms: Ammonium hydroxide? - ?Economic analysis? - ?Effluent treatment? - ?Fillers? - ?Flow of gases? - ?Hydrated lime? - ?Lime? - ?Nitrogen removal? - ?Recovery

Uncontrolled terms: Acid absorption? - ?Ammonia stripping? - ?Ammonia-nitrogen? - ?Ammonia-nitrogen removals? - ?Economics evaluations? - ?Nitrogen concentrations? - ?Nitrogen removal rates? - ?Stripping process? - ?Vinasse slurry? - ?Vinasses

Classification code: 452.4 Industrial Wastes Treatment and Disposal? - ?631.1.2 Gas Dynamics? - ?804 Chemical Products Generally? - ?804.2 Inorganic Compounds? - ?911.2 Industrial Economics

Numerical data indexing: Linear density 2.20E+01kg/m, Mass density 1.00E-01kg/m3, Mass density 6.00E+00kg/m3, Mass density 6.60E+00kg/m3, Percentage 2.00E+00%, Percentage 3.25E+01%, Percentage 3.68E+01% to 4.53E+01%, Percentage 4.00E+00%, Percentage 6.51E+01%, Percentage 6.83E+01%, Percentage 7.71E+01%, Percentage 7.98E+01%, Percentage 9.10E+01%, Percentage 9.70E+01%, Percentage 9.74E+01% to 9.77E+01%, Percentage 9.90E+01%, Volume 6.00E-03m3

DOI: 10.6041/j.issn.1000-1298.2022.S2.029

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

20. Design and Experiment of Portable Rapid Screening Device for Ractopamine Detection in Pork

Accession number: 20231013694101

Title of translation:

Authors: Guo, Qinghui (1, 2); Peng, Yankun (1, 2); Zhuang, Qibin (1, 2); Chen, Yahui (1, 2)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) National R&D Center for Agro-processing Equipment, Beijing; 100083, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 278-284

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Ractopamine is a synthetic β-receptor agonist that can be used to feed livestock to improve lean meat yield. Ractopamine can cause health problems and even endanger life if eaten from livestock, poultry or viscera. Traditional ractopamine detection cycle is long, time-consuming and laborious, which is not conducive to the actual large-scale promotion of use. In some slaughterhouses, sampling inspection is often used for testing which is a serious lag. A portable rapid screening device for ractopamine in pork was developed. The device mainly included spectra acquisition module, light source module, control module, power supply and computer. Based on NI LabVIEW software development tool, G language was used to write the control software of intelligent and rapid detection of pork “ clenbuterol”. Firstly, ractopamine was extracted from pork by ethyl acetate in alkaline environment, and detected by SERS method. The effects of several different concentrations of NaCl aqueous solutions as aggregators on SERS spectra of ractopamine were compared. The results showed that 1 mol/L NaCl as aggregator had the best enhancement effect. Secondly, the effect of droplet evaporation on Raman signal was compared. The results showed that the Raman signal was better after 4 s. Then, pork samples with different ractopamine contents (1 μg/g, 2 μg/g, 4 μg/g, 6 μg/g, 8 μg/g and 10 μg/g) were prepared for quantitative analysis. Automatic Whittaker fitting algorithm (AWF) was used for preprocessing, and the fluorescence background contained in the original Raman spectrum was deducted. A linear regression model was established between SERS intensity at 836 cm-1 and ractopamine content in pork samples. The results showed that the model has a good linear relationship, the correlation coefficient R was 0.99, and the root mean square error was 0.178 μg/g. Finally, a batch of pork samples with the same ractopamine content were prepared, and the device was used to detect ractopamine in pork. The predicted values had a good linear relationship with the standard physicochemical values of the samples, the correlation coefficient R2 was 0.99, and the root mean square error was 0.317 μg/g. The device was simple, portable, inexpensive, and the detection time was less than 1 h. The detection limit was 1 μg/g. It can be used for rapid screening of ractopamine in pork. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 18

Main heading: Raman scattering

Controlled terms: Agriculture? - ?Computer programming languages? - ?Light sources? - ?Mean square error? - ?Meats? - ?Raman spectroscopy? - ?Sodium chloride? - ?Software design? - ?Surface scattering

Uncontrolled terms: Brown meat essence? - ?Enhanced Raman scattering? - ?Portable rapid screening device? - ?Ractopamine? - ?Raman signal? - ?Rapid screening? - ?Screening devices? - ?SERS? - ?Surface enhanced Raman? - ?Surface-enhanced raman scattering

Classification code: 723.1 Computer Programming? - ?723.1.1 Computer Programming Languages? - ?723.5 Computer Applications? - ?741.1 Light/Optics? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?822.3 Food Products? - ?922.2 Mathematical Statistics? - ?931 Classical Physics; Quantum Theory; Relativity

Numerical data indexing: Mass 1.00E-08kg, Mass 1.00E-09kg, Mass 1.78E-10kg, Mass 2.00E-09kg, Mass 3.17E-10kg, Mass 4.00E-09kg, Mass 6.00E-09kg, Mass 8.00E-09kg, Molar concentration 1.00E+03mol/m3, Size 8.36E+00m, Time 3.60E+03s, Time 4.00E+00s

DOI: 10.6041/j.issn.1000-1298.2022.S2.032

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

21. Design of Agricultural Machinery Multi-machine Cooperative Navigation Service Platform Based on WebGIS

Accession number: 20231013685860

Title of translation: WebGIS

Authors: Li, Han (1); Zhong, Tao (1); Zhang, Keyi (2); Wang, Yan (2); Zhang, Man (2)

Author affiliation: (1) Key Laboratory of Smart Agriculture System Integration, Ministry of Education, China Agricultural University, Beijing; 100083, China; (2) Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing; 100083, China

Corresponding author: Zhang, Man(cauzm@cau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 28-35

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to provide map and navigation service support for multi-agricultural machinery cooperative operation application scenarios, a multi-machine cooperative navigation service platform based on WebGIS was designed and developed. The platform consisted of two functional modules: GIS service and agricultural machinery scheduling. The GIS module provided web-side map services based on GeoServer and JavaWeb. While displaying the farm map and marking the location of agricultural machinery in real time, it also provided the visual display function of the navigation results of multiple agricultural machinery; the agricultural machinery scheduling module took the path planning algorithm and task allocation algorithm as the core, and responsible for providing navigation services. When the user provided the task list and invoked the service, it returned the task assignment and path planning results of each agricultural machine in GeoJSON format. In addition, in order to screen out the algorithm that met the platform requirements and had the best performance, algorithm performance comparison experiment were designed. The path planning algorithms based on A?, Bellman - Ford, Dijkstra, Floyd and SPFA were tested on three paths with short, medium and far navigation distances respectively, and the execution time and optimal path length were recorded and compared; for the task allocation algorithm, simulation comparison experiments under different task number scenarios were designed. The task allocation algorithms based on ant colony optimization and genetic algorithm were tested under the scenarios of 8, 10, 14 and 18 tasks respectively, and the execution speed and optimal path length of the algorithms were recorded and compared. The results showed that the path planning algorithm based on Dijkstra algorithm had the fastest execution speed under the premise of optimal results, and the average single execution time was 0. 25 ms. The task assignment algorithm based on genetic algorithm can effectively reduce the path cost of multi-machine collaboration. Compared with the randomly generated work sequence, the path cost was reduced by 50% -54% ; compared with the algorithm based on ant colony optimization, the optimal path length was reduced by 19% ~ 36%, the execution time was reduced by 51% -66%, and the average running time was within 1 s. The developed multi-machine cooperative navigation service platform can basically meet the real-time requirements of multi-machine cooperative operation by using Dijkstra algorithm and genetic algorithm for path planning and task allocation. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 28

Main heading: Motion planning

Controlled terms: Agricultural machinery? - ?Ant colony optimization? - ?Cost reduction? - ?Farms? - ?Genetic algorithms? - ?Geographic information systems? - ?Navigation

Uncontrolled terms: Cooperative navigations? - ?Multi-machine collaboration? - ?Multi-machines? - ?Navigation service? - ?Optimal path lengths? - ?Path-planning algorithm? - ?Service platforms? - ?Task allocation algorithm? - ?Tasks assignments? - ?WebGIS

Classification code: 821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.1 Agricultural Machinery and Equipment? - ?903.3 Information Retrieval and Use? - ?921.5 Optimization Techniques

Numerical data indexing: Time 1.00E00s, Time 2.50E-02s, Percentage 1.90E+01%, Percentage 3.60E+01%, Percentage 5.00E+01% to 5.40E+01%, Percentage 5.10E+01% to 6.60E+01%

DOI: 10.6041/j.issn.1000-1298.2022.S1.003

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

22. Efficient Automatic Method for Head-tail and Ventral-dorsal Directional Transportation of Freshwater Fish

Accession number: 20231013691048

Title of translation:

Authors: Guo, Zichun (1, 2); Huang, Jiayi (1, 2); Wang, Shuichuan (1, 2); Yu, Shunting (1); Chen, Yuanhui (1); Zhang, Linquan (1)

Author affiliation: (1) Research Center of Aquatic Engineering Equipment Technology, Guangdong Institute of Modern Agricultural Equipment, Guangzhou; 510630, China; (2) Key Laboratory of Modern Agricultural Intelligent Equipment in South China, Ministry of Agriculture and Rural Affairs, Guangzhou; 510630, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 141-151

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Automatic head-tail and ventral-dorsal directional transportation is an important prerequisite for promoting the mechanized processing of freshwater fish. Based on horizontal vibration method and visual image recognition technology, an automatic head-tail and ventral-dorsal directional transportation device was designed. The principle of fish body rotation and the principle of head and tail advance were expounded by analyzing the force and motion state of fish body on the shaking table. The motion states of the fish on the shaking table were divided into four types, and the conditions for the fish to achieve head-tail directional transportation were analyzed. Combined with the image recognition technology, the guide mechanism, visual recognition system, elimination mechanism, V-shaped ventral-dorsal directional transportation actuator and V-shaped correction conveying mechanism were created to realize the automatic ventral-dorsal directional transportation. Finally, three typical freshwater fishes, crucian carp, Grasscarp and silver carp, were selected as the test objects, and the orientation completion time and success rate were used as the evaluation indexes. The effects of fish species, conveyor belt type, vibration amplitude and vibration frequency on the head-tail directional transportation of fish were explored, and the effects of fish species on the ventral-dorsal directional transportation were also explored. The test results showed that the theoretical calculation of the forward motion state of fish on the shaking table was consistent with the experimental results, it was proved that the theoretical calculation can effectively guide the actual head end orientation process. When the conveyor belt was only inverted triangle, the fish can complete the head-tail directional transportation. The effect of head-tail directional transportation was increased with the increase of vibration amplitude and frequency. When the vibration amplitude was greater than 160 mm, the whole machine vibrated violently, so the optimal amplitude should be 160 mm. When the frequency was greater than 5 Hz, the change of orientation effect was not obvious, so the optimal frequency should be 5 Hz. The ventral-dorsal directional transportation effect was determined by the conveying speed of the conveyor belt and the accuracy of machine vision recognition. The ventral-dorsal directional transportation time of all kinds of fish was kept at 15 s, and the orientation success rate was stable in the range of 95%-91%. The research results can provide technical reference for the design and selection of technological parameters of fish automatic orientation device. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 22

Main heading: Fish

Controlled terms: Belt conveyors? - ?Image recognition? - ?Water

Uncontrolled terms: Conveyor belts? - ?Fish species? - ?Freshwater fishes? - ?Head-tail directional transportation? - ?Horizontal vibration? - ?Image recognition technology? - ?Motion state? - ?Shaking tables? - ?Ventral-dorsal directional transportation? - ?Vibration amplitude

Classification code: 692.1 Conveyors

Numerical data indexing: Frequency 5.00E+00Hz, Percentage 9.50E+01% to 9.10E+01%, Size 1.60E-01m, Time 1.50E+01s

DOI: 10.6041/j.issn.1000-1298.2022.S2.016

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

23. Hot-air Drying Heat and Mass Transfer of White Radish Based on Moving Mesh

Accession number: 20231013692730

Title of translation:

Authors: Wu, Mengqiu (1); Lei, Dengwen (1); Zhu, Guangfei (2); Xie, Yongkang (3); Li, Xingyi (3); Liu, Yanhong (1)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) Academy of Agricultural Planning and Engineering, Ministry of Agriculture and Rural Affairs, Beijing; 100125, China; (3) Research Center for Agricultural and Sideline Products Processing, Henan Academy of Agricultural Sciences, Zhengzhou; 450002, China

Corresponding author: Liu, Yanhong(liuyanhong@cau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 293-302

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Drying model for grains is still often adopted in most current numerical simulation for fruits and vegetables during drying, leading to low simulation accuracy, for the shrinkage effect was not considered in physical model and heat and mass transfer. In order to calculate the shrinkage model during hot-air drying and simulate the distribution of internal temperature and humidity field with and without shrinkage, white radish with uniform structure and visible shrinkage during drying was chosen as a representative material. The results of the drying experiment demonstrated that the sample length had a significant impact on the characteristics of shrinkage, and the isotropic rate of drying shrinkage was the best at a sample length-to-radius ratio of 10, at which point the Hatamipour model was most appropriate to explain the shrinkage law of white radish by hot-air drying. And then, the heat mass transfer of white radish during hot-air drying was investigated based on the coupled shrinkage equation and heat and mass transfer equations by moving mesh method. The numerical simulation results showed that the migration path of moisture inside the material became shorter after shrinkage, and the faster removal rate led to a significant reduction of both internal and external moisture content at each time point, as well as a reduction in the moisture gradient at the superficial layer of material. Compared with the model not considering shrinkage, the moisture evaporation in the early and middle stages of drying was larger, while the moisture content in the later stage was smaller, so that more heat would be consumed for moisture evaporation in the early and middle stages and the latent heat dissipation for evaporation in the later stage was reduced. The above phenomenon led to a rapid rise in material temperature to 301 and then slowly raised to an equilibrium temperature of 60°C, which was closer to the experimental value. Specifically, the deviations of simulation results for internal and external moisture and temperature of the material after combining the shrinkage equations were reduced from 17% -8% and 12 ~ 2°C to 14% -3% and 3 ~ 2°C, respectively. Therefore, the numerical simulations based on moving mesh can effectively interpret the effect of shrinkage on the physical model of materials and the heat and mass transfer law, thus providing a higher computational accuracy and a reliable model for the analysis of the heat mass transfer during hot air drying. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 26

Main heading: Shrinkage

Controlled terms: Drying? - ?Evaporation? - ?Heat transfer? - ?Mass transfer? - ?Mesh generation? - ?Moisture? - ?Moisture determination? - ?Numerical models? - ?Solar dryers

Uncontrolled terms: % reductions? - ?%moisture? - ?Heat and mass transfer? - ?Heat-mass transfer? - ?Hot air drying? - ?Moisture gradient? - ?Moving mesh? - ?Physical modelling? - ?Sample length? - ?White radish

Classification code: 641.2 Heat Transfer? - ?641.3 Mass Transfer? - ?657.1 Solar Energy and Phenomena? - ?723.5 Computer Applications? - ?802.1 Chemical Plants and Equipment? - ?802.3 Chemical Operations? - ?921 Mathematics? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory? - ?944.2 Moisture Measurements? - ?951 Materials Science

Numerical data indexing: Percentage 1.40E+01% to 3.00E+00%, Percentage 1.70E+01% to 8.00E+00%, Temperature 2.76E+02K to 2.75E+02K, Temperature 2.85E+02K to 2.75E+02K, Temperature 3.33E+02K

DOI: 10.6041/j.issn.1000-1298.2022.S2.034

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

24. Design and Experiment of Navigation Control System for Trailer Special Vehicle

Accession number: 20231013687133

Title of translation:

Authors: Wei, Liguo (1, 2); Yuan, Yulong (1, 2); Dong, Xin (1, 2); Zhou, Da (1, 2); Wang, Yaqi (1, 2); Chen, Wenke (3)

Author affiliation: (1) Chinese Academy of Agricultural Mechanization Sciences Croup Co., Ltd., Beijing; 100083, China; (2) State Key Laboratory of Soil - Plant - Machine System Technology, Beijing; 100083, China; (3) Beijing Jinlun Kuntian Special Machine Co., Ltd., Beijing; 100083, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 324-331

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the operation automation and high-precision safety operation requirements of trailer-type large-load special vehicles, a set of trailer-type unit autonomous navigation control system was designed for the large-load tractor. The vehicle-mounted program control system adopted a modular distributed system, and the communication between the modules in the system was realized through the CAN bus. The TCP protocol was used for data communication between the remote operation and management platform and the vehicle-mounted program control terminal, so as to realize the information exchange between the remote operation and management platform and the vehicle-mounted program control system. The kinematic model of the trailer-type special vehicle was established, and the towing state and the minimum turning radius of the towed machine were analyzed during the towing operation. Aiming at the defect of fixed foresight distance in the traditional pure pursuit algorithm, the foresight distance was dynamically calculated based on the current real-time speed of the tractor, tracking path curvature, heading and other information, and the fixed foresight distance into dynamic foresight distance tracking was improved. The control parameters were optimized for multiple parameters, which significantly improved the accuracy of trajectory tracking; the random forest algorithm was used to extract the features of the trajectory tracking data, and the algorithm parameters were modified according to the weight of each feature importance index. On an open concrete runway with a maximum horizontal inclination of 2° on the test site, the mass of the tractor was 2 t, the mass of the towed machine was 10 t, and the length was 22 m, and the design of the traction unit required a maximum running speed of 6 km/h and a maximum lateral deviation of 50 cm. According to the long and complex path test and data analysis, the maximum delay of the system correction response was 84 ms, the maximum absolute lateral error of the traction unit was 37. 14 cm, and the average absolute error was 14. 91 cm, which met the practical application requirements in large-load towing operations. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 17

Main heading: Light trailers

Controlled terms: Control systems? - ?Forestry? - ?Information management? - ?Kinematics? - ?Tractors (agricultural)? - ?Tractors (truck)? - ?Vehicle to vehicle communications

Uncontrolled terms: Management platforms? - ?Navigation control systems? - ?Operation and management? - ?Path tracking? - ?Program control? - ?Pure-pursuit algorithms? - ?Random forests? - ?Remote management? - ?Remote operation? - ?Trailer special vehicle

Classification code: 662.2 Smaller Vehicles? - ?663.1 Heavy Duty Motor Vehicles? - ?716.3 Radio Systems and Equipment? - ?731.1 Control Systems? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.1 Agricultural Machinery and Equipment? - ?931.1 Mechanics

Numerical data indexing: Size 1.40E-01m, Size 2.20E+01m, Size 5.00E-01m, Size 6.00E+03m, Size 9.10E-01m, Time 8.40E-02s

DOI: 10.6041/j.issn.1000-1298.2022.S1.036

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

25. Determination of Interspecific Contact Parameters of Corn and Simulation Calibration of Discrete Element

Accession number: 20231013686042

Title of translation:

Authors: Zhang, Rongfang (1); Zhou, Jilei (1); Liu, Hu (1); Shi, Song (1); Wei, Guojian (1); He, Tengfei (1)

Author affiliation: (1) Shandong Academy of Agricultural Machinery Sciences, Ji’nan; 250100, China

Corresponding author: Shi, Song(shisongfox@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 69-77

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to get the optimal solution by comparative tests, the simulation analysis was widely used during the development process of air suction seed metering device. The gas-solid coupling simulation method was compatible because the single grain rate of air suction seed metering device was reached by different air pressures, and the process was filled with variable flow field and moving particles. The difference of contacting parameters between the simulation particle and the real particle would be bigger when the bonding particle model was implied during the coupling of Fluent. In order to solve the problem, the reasonable variable range during the process of calibrating the discrete element parameters was reached with the measured values of contact parameters between maize species. The steps were as follows: the rolling friction and the static friction of corn-corn were measured by slope method and energy conservation method of high speed photography. The linear function between the zero level of variable range and the measured value was established (the best calibration range of zero level was equal to the measured coefficient value of coefficients ) . In order to find the optimal coefficient value, six groups of different coefficients were selected to solve the variable range, and the response surface optimization method was applied to optimize and calibrate the corn interspecific contact parameters with the real measurement of corn accumulation angle as the objective quantity. The accumulation angle of simulation was obtained by calibrations parameters and compared with the real accumulation angle got by lifting tests. The relation between curve of accumulation angle was calculated by different coefficients values. The value of optimized parameter during the calibration range was the most accurate when the coefficient was 0. 197 7. The best combination of fixed parameters was as follows; the static friction coefficient between corns was 0. 031, the rolling friction coefficient between corns was 0. 003 9. There was no significant difference between the simulation results of the simulation results of the best parameter with the real experiment. The results showed that the contact parameters of the calibrated discrete element of corn were reliable. Those parameters and calibration methods can be set as references for the selection of calibration parameter range in the simulation process of follow-up air suction seed metering device. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 25

Main heading: High speed photography

Controlled terms: Stiction

Uncontrolled terms: Air suction? - ?Binding models? - ?Characteristics parameters? - ?Contact characteristic parameter? - ?Contact characteristics? - ?Contact parameters? - ?Corn? - ?Discrete elements? - ?Seed-metering device? - ?Variable range

Classification code: 742.1 Photography

DOI: 10.6041/j.issn.1000-1298.2022.S1.008

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

26. Design and Experiment of Chassis Control System for Weeding Robot in Hilly Orchard

Accession number: 20231013685968

Title of translation:

Authors: Zhao, Zhiyu (1, 2); Zhu, Licheng (1, 2); Zhou, Liming (1, 2); Lu, Chengxu (1, 2); Li, Mutong (3); Dong, Xin (1, 2)

Author affiliation: (1) Chinese Academy of Agricultural Mechanization Sciences Group Co., Ltd., Beijing; 100083, China; (2) State Key Laboratory of Soil - Plant - Machine System Technology, Beijing; 100083, China; (3) Guangdong Institute of Modern Agricultural Equipment, Guangzhou; 510630, China

Corresponding author: Zhou, Liming(haiboll29@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 48-57

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problems of unstruetured and complex hilly orchard environment and low efficiency of conventional weeding methods, an orchard weeding robot chassis system was proposed. According to the hilly terrain and landform environment of the orchard, the vehicle body control mode and the overall structure scheme of the weeding robot chassis were determined, mainly including the hydraulic transmission system, and electrical control system, etc. With motion control as the core, in order to improve the control accuracy of the hydraulic system, the supporting electrical control system, remote control receiver and CAN communication protocol of the weeding vehicle were designed, which were composed of the main controller, remote control receiver, motor drive module and navigation module, and the software flow was determined. The motion controller was designed based on the active disturbance rejection control algorithm. The robot track speed was determined by the valve angle of the hydraulic system, it can be seen that the dynamic performance of the motor directly connected to the control valve was the motion control target. The Simulink simulation model was established by taking the motor angle of the hydraulic valve as the object and the speed, disturbance and output as the state variables. The simulation results showed that the ADRC reduced the adjustment time by 0. 42 s, the overshoot by 11. 5% and the stability time by 0. 14 s compared with the PID control. Ground experiments were arranged to verify the effectiveness of the robot system. The experiments showed that the average walking speed of the weeding robot using active disturbance rejection control combined with navigation function was 6.2 km/h, the mean square deviation was 0. 037 km/h, the operation efficiency was 0.51 hm /h, and the average effective weeding rate was 97. 46%. It can walk normally on a 25° slope, and the standard deviation of tracking error for the navigation path was 4.732 em. The motion control response was timely, which can improve the safety and accuracy of weeding operation. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 29

Main heading: Controllers

Controlled terms: Disturbance rejection? - ?Efficiency? - ?Motion control? - ?Navigation? - ?Orchards? - ?Remote control? - ?Robots? - ?Three term control systems? - ?Tractors (agricultural)? - ?Tractors (truck) ? - ?Vehicle transmissions

Uncontrolled terms: Active disturbances rejection controls? - ?CAN? - ?Chassis control systems? - ?Chassis system? - ?Electrical control system? - ?Hilly orchard? - ?Hydraulic system? - ?Robot chassis? - ?Weeding robot chassi? - ?Weeding robots

Classification code: 602.2 Mechanical Transmissions? - ?663.1 Heavy Duty Motor Vehicles? - ?731 Automatic Control Principles and Applications? - ?731.1 Control Systems? - ?731.3 Specific Variables Control? - ?731.5 Robotics? - ?732.1 Control Equipment? - ?821.1 Agricultural Machinery and Equipment? - ?821.3 Agricultural Methods? - ?913.1 Production Engineering

Numerical data indexing: Percentage 4.60E+01%, Percentage 5.00E+00%, Size 3.70E+04m, Size 6.20E+03m, Time 1.40E+01s, Time 4.20E+01s

DOI: 10.6041/j.issn.1000-1298.2022.S1.006

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

27. Evaluation of Wheat and Corn Harvester Selection in Hilly and Mountainous Area

Accession number: 20231013685787

Title of translation: /

Authors: Lin, Jiahao (1, 2); Yang, Minli (1, 2); Zhang, Xiaojun (3); Liu, Pengwei (1, 2); Li, Shang (4); Peng, Jian (1, 2)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) China Research Center for Agricultural Mechanization Development, China Agricultural University, Beijing; 100083, China; (3) Sichuan Agricultural Mechanization Technology Extension Station, Chengdu; 610041, China; (4) Chongqing Agricultural Mechanization Technology Extension Station, Chongqing; 401147, China

Corresponding author: Yang, Minli(qyang@cau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 150-157

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Due to the particularity of topography, farmland scale and land conditions in hilly and mountainous areas, there is a lack of scientific selection methods for wheat and corn harvesting machinery, especially the insufficient consideration of terrain conditions and safety, resulting in poor adaptability and passability of some harvesting machinery in hilly and mountainous areas and high loss rate. In order to improve the adaptability of wheat and corn harvesting machinery, reduce the loss rate of machinery, achieve safe, green and efficient production, and ensure the warehousing of grain particles, adhering to the basic principles of advanced application, light and efficient, green environmental protection, safety and comfort, based on the theory of agricultural machinery selection, through field research and expert consultation, Based on the combination of qualitative analysis with quantitative analysis, combining theory with practice, the integration of agricultural machinery and agronomy, the method of analytic hierarchy process (AHP) was used to construct the energy consumption, operation efficiency, operation effect and operation performance, comfort, security, and other six secondary index, totally 16 three-level index of hilly wheat/corn harvest machine selection evaluation index system. According to the expert survey method and related research to determine the weight of the evaluation index. Based on field experiment and field investigation, six wheat harvesters, including J -2. 5 ( I ), L-3.5 ( II ), W-4. 0 ( HI), S-4C (IV), A-5.0ZA ( V), W-6. OEA ( VI), were evaluated and verified. The results showed that the comprehensive evaluation values of six wheat harvesters were 0. 71, 0. 43, 0. 50, 0. 73, 0. 45 and 0. 39, respectively, and the order of effectiveness was IV, I, III, V, II, VI. Evaluation results accorded with the actual use of farmers, showed that the evaluation index system of science and applicability in hilly and mountainous Southwest China was good, for the relevant management departments and farmers to provide a scientific basis for wheat harvest machine type selection, retrofit for farm machinery scientific research units, production enterprises, to create suitable for hilly wheat corn harvest machine to provide the reference. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 29

Main heading: Analytic hierarchy process

Controlled terms: Energy efficiency? - ?Energy utilization? - ?Farms? - ?Harvesters? - ?Harvesting? - ?Hierarchical systems? - ?Topography

Uncontrolled terms: Corn harvesters? - ?Evaluation indices system? - ?Grain particles? - ?Hilly and mountainous areas? - ?Land condition? - ?Loss rates? - ?Passability? - ?Selection methods? - ?Selection of harvester? - ?Terrain conditions

Classification code: 525.2 Energy Conservation? - ?525.3 Energy Utilization? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.1 Agricultural Machinery and Equipment? - ?821.3 Agricultural Methods? - ?951 Materials Science? - ?961 Systems Science

DOI: 10.6041/j.issn.1000-1298.2022.S1.015

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

28. Research Progress of Agricultural Robot Full Coverage Operation Planning

Accession number: 20231013686048

Title of translation:

Authors: Wang, Ning (1, 2); Han, Yuxiao (1, 2); Wang, Yaxuan (2); Wang, Tianhai (2); Zhang, Man (1); Li, Han (1)

Author affiliation: (1) Key Laboratory of Smart Agriculture System Integration, Ministry of Education, China Agricultural University, Beijing; 100083, China; (2) Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing; 100083, China

Corresponding author: Li, Han(cau_lihan@cau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 1-19

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: With the development of automatic navigation technology, agricultural robots have been applied to all aspects of agricultural production. Agricultural robots can replace humans in activities such as spraying, fertilizing, and harvesting, reducing labor intensity and improving operational efficiency. Full coverage operation is one of the core contents of intelligent robot research, which involves many application fields such as agriculture, military, manufacturing, and civil. As a key technology in agricultural production operations, full coverage operation planning can help improve operation quality and resource utilization. However, in the full coverage operation, there are several challenges unresolved ; obstacles identification is not accurate, hindering the working path of agricultural machinery; the area of the working area is omitted and the path is repeated, resulting in a waste of resources; the work efficiency of the single robot is low and it is unable to deal with complex full coverage problems. Starting with the problems existing in the full coverage operation planning, the construction of the environment model, robot path planning, and multi-robot cooperative task allocation was reviewed. Among them, accurate and reliable environmental map information helped to avoid static obstacles and improve operational reliability. Efficient optimization of path information helped to reduce missed areas and improve operational effieiency. The optimal task allocation scheme helped to reduce work time and waste of resources. Firstly, the environmental modeling methods were analyzed and compared with their limitations revealed, and optimization methods were put forward. Based on environmental modeling methods, the present situation of full coverage path planning algorithms at home and abroad was summarized, and the characteristics of related algorithms were pointed out. Then, the research progress of task assignment algorithms was discussed for multi-robot cooperative full coverage task allocation. Finally, the future development direction of the mobile robot full coverage task allocation was discussed. This research would help further improve the work efficiency and quality of the full coverage operation in agricultural production, and reduce the waste of resources. The research result provided an important basis for the realization of large-scale agricultural production in China. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 143

Main heading: Agricultural robots

Controlled terms: Agriculture? - ?Efficiency? - ?Industrial research? - ?Industrial robots? - ?Intelligent robots? - ?Motion planning? - ?Multipurpose robots? - ?Robot programming

Uncontrolled terms: Agricultural productions? - ?Agricultural robot? - ?Environment models? - ?Environmental model? - ?Full coverage? - ?Multirobots? - ?Operation planning? - ?Task allocation? - ?Waste of resources? - ?Work efficiency

Classification code: 723.1 Computer Programming? - ?731.5 Robotics? - ?731.6 Robot Applications? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.1 Agricultural Machinery and Equipment? - ?901.3 Engineering Research? - ?912.1 Industrial Engineering? - ?913.1 Production Engineering

DOI: 10.6041/j.issn.1000-1298.2022.S1.001

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

29. Typical Antibiotics Degradability of Pig Manure under Hydrothermal Pretreatment and Anaerobic Digestion

Accession number: 20231013694051

Title of translation:

Authors: Chen, Li (1); Ma, Yanfang (1); Zhang, Zijia (1); Zhu, Danyang (1); Liu, Shan (1, 2); Dong, Renjie (1)

Author affiliation: (1) School of Engineering, China Agricultural University, Beijing; 100083, China; (2) Yantai Research Institute, China Agricultural University, Yantai; 264670, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 260-269

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: For the treatment and prevention of animal diseases, antibiotics are commonly used in livestock and poultry farming. The large amount of antibiotics remaining in livestock and poultry manure brings a huge potential risk of the spread of antibiotic resistance genes. In order to further understand the degradation characteristics of typical antibiotics in livestock and poultry manure by hydrothermal pretreatment and anaerobic digestion, and clarify the correlation between antibiotics and methane production performance, pig manure was taken as the research object. The reduction effects of different temperatures (70°C, 90°C, 120°C, 150°C and 170°C) by hydrothermal pretreatment on sulfadiazine, oxytetracycline and enrofloxacin were investigated. The degradation laws of sulfadiazine, oxytetracycline and enrofloxacin during mesophilic anaerobic digestion and their effects on methane production performance were studied. The results showed that the hydrothermal pretreatment had obvious reduction effect on the three antibiotics. Sulfadiazine and enrofloxacin were 100% removed by hydrothermal treatment at 70°C, while oxytetracycline was 100% removed by hydrothermal treatment at 90°C. During mesophilic anaerobic digestion, the removal rates of the three antibiotics were increased gradually with the prolongation of anaerobic digestion time. After 5 d of anaerobic digestion, enrofloxacin basically reached 100% removal, while the removal rates of oxytetracycline and sulfadiazine were 39.76% and 21.29%, respectively. After 15 d of anaerobic digestion, oxytetracycline basically reached 100% removal, while after 30 d of sulfadiazine, the removal rate reached 52.9%. The degradation characteristics of the three antibiotics were quite different in the process of anaerobic digestion, but there was no significant difference in the biogas and methane production of pig manure with different antibiotics (P > 0.05). In addition, when the sulfadiazine in pig manure was in the range of 5 ~ 150 mg/kg, cumulative biogas and methane production from anaerobic digestion was negatively linearly correlated with sulfadiazine concentration (R2 = 0.954 6 and R2 =0.865 4). However, there was no significant difference in biogas and methane production with different antibiotics (P > 0.05). Therefore, hydrothermal pretreatment and anaerobic digestion can significantly reduce sulfadiazine, oxytetracycline, and enrofloxacin in pig manure, which can provide data support for the subsequent study of hydrothermal pretreatment combined with anaerobic digestion in the treatment of antibiotic-containing manure. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 44

Main heading: Methane

Controlled terms: Anaerobic digestion? - ?Antibiotics? - ?Biogas? - ?Farms? - ?Fertilizers? - ?Mammals? - ?Manures

Uncontrolled terms: Biogas and methanes? - ?Biogas production? - ?Degradation characteristics? - ?Hydrothermal pretreatment? - ?Livestock manure? - ?Methane production? - ?Pig manures? - ?Poultry manure? - ?Production performance? - ?Removal rate

Classification code: 461.6 Medicine and Pharmacology? - ?522 Gas Fuels? - ?804 Chemical Products Generally? - ?804.1 Organic Compounds? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.2 Agricultural Chemicals? - ?821.5 Agricultural Wastes

Numerical data indexing: Mass 5.00E-06kg to 1.50E-04kg, Percentage 1.00E+02%, Percentage 2.129E+01%, Percentage 3.976E+01%, Percentage 5.29E+01%, Temperature 3.43E+02K, Temperature 3.63E+02K, Temperature 3.93E+02K, Temperature 4.23E+02K, Temperature 4.43E+02K

DOI: 10.6041/j.issn.1000-1298.2022.S2.030

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

30. Design and Experiment of Automatic Transplanter for Sweet Potato Naked Seedlings Based on Pretreatment Seedling Belt

Accession number: 20231013686097

Title of translation:

Authors: Wu, Guangwei (1); An, Xiaofei (1); Yan, Bingxin (1); Li, Liwei (1); He, Yufan (2); Meng, Zhijun (1)

Author affiliation: (1) Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing; 100097, China; (2) School of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang; 212013, China

Corresponding author: Meng, Zhijun(mengzj@nercita.org.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 99-109

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Naked seedling transplanting is the main planting method of sweet potato in China, which requires high mechanized transplanting. At present, the domestic sweet potato transplanting machinery is relatively lacking, the existing equipment has a low degree of automation, and most of them adopt manual seedling feeding, which leads to high labor intensity in the field and low quality of mechanized planting. Combined with the agronomic requirements of planting naked sweet potato seedling, an automatic transplanter for naked sweet potato seedlings was designed based on the pretreatment seedling belt feeding device and the flexible disc planting device, According to the requirement of automatic operation control of feeding device, flexible disc planting device and watering device of sweet potato bare seedling transplanter, a control system of sweet potato bare seedling automatic transplanter based on CAN bus was designed, which can complete rotary tillage, ridging, ditching, automatic and orderly seedling feeding, planting at fixed plant distance, pressing soil covering, automatic watering, ridge repairing and other operations at one time. Field experiments showed that when the distance of target plant spacing was 25 cm and the working speed was 0. 25 m/s, 0. 35 m/s and 0. 45 m/s, the coefficient of variation of planting plant spacing and the qualified rate of planting depth all met the standard requirements, the variation coefficient of plant spacing and the qualified rate of planting posture were affected by the working speed greatly, but the planting depth was less affected by the working speed. When the working speed was 0. 25 m/s, the working performance index was better than 0. 35 m/s and 0. 45 m/s. The average variation coefficient of plant spacing was 10. 16%, the average qualified rate of planting depth was 95. 56%, and the average qualified rate of planting posture was 90% . The research result can provide a reference for the theoretical research and innovative design of mechanized and automatic transplanting machinery for naked sweet potato seedlings. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 13

Main heading: Feeding

Controlled terms: Agricultural machinery? - ?Machine design? - ?Seed

Uncontrolled terms: Automatic seedling feeding? - ?Feeding devices? - ?Naked seedling? - ?Plant spacing? - ?Plantings? - ?Pre-treatments? - ?Seedling belt? - ?Sweet potato? - ?Transplanting machinery? - ?Working speed

Classification code: 601 Mechanical Design? - ?691.2 Materials Handling Methods? - ?821.1 Agricultural Machinery and Equipment? - ?821.4 Agricultural Products

Numerical data indexing: Percentage 1.60E+01%, Percentage 5.60E+01%, Percentage 9.00E+01%, Size 2.50E-01m, Velocity 2.50E+01m/s, Velocity 3.50E+01m/s, Velocity 4.50E+01m/s

DOI: 10.6041/j.issn.1000-1298.2022.S1.011

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

31. Adaptive-coefficient Kalman Filter Based Combined Positioning Algorithm for Agricultural Mobile Robots

Accession number: 20231013686055

Title of translation:

Authors: Qiu, Quan (1); Hu, Qinghan (2); Fan, Zhengqiang (3, 4); Sun, Na (3, 5); Zhang, Xihai (2)

Author affiliation: (1) Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing; 102617, China; (2) School of Electrical and Information, Northeast Agricultural University, Harbin; 150030, China; (3) Research Center of Intelligent Equipment, Beijing Academy of Agriculture and Forestry Sciences, Beijing; 100097, China; (4) College of Mechanical and Electronic Engineering, Northwest A&F University, Shaanxi, Yangling; 712100, China; (5) College of Engineering and Technology, Southwest University, Chongqing; 400715, China

Corresponding author: Zhang, Xihai(xhzhang@neau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 36-43

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: GNSS-based positioning and navigation has been widely used for agricultural robots in open unmanned farms. However, for the applications of semi-structured and semi-open agricultural scenarios, there may be temporary loss of GNSS received signals caused by occlusion of canopies in some areas, which will affect the positioning and navigation accuracy of robots and even harm crops or farmers. To solve this problem, a combined positioning method of GNSS and INS under the occlusion environment of agriculture was studied. The main work consisted of three parts; a mobile agricultural robot system was build up for the experiments of multi-sensor-based positioning and navigation, which consisted of hardware ( track-layer mobile platform, GNSS receivers and INS, etc.) and software (ROS, remote control interface, etc. ) ; an adaptive-coefficient Kalman filter based combined positioning algorithm was proposed. When the GNSS signal was unstable or denied, the new algorithm can switch to INS positioning adaptively based on Kalman filter, which carried out the optimal estimation for the robots’ location and gesture; experiments of the proposed combined positioning algorithm were conducted under practical scenes of agriculture, in which four different positioning methods ( GNSS only, INS only, Kalman filter based combined positioning, and adaptive-coefficient Kalman filter based combined positioning) were compared to validate the effectiveness of the algorithm. Field experiments showed that in the process of combined positioning, compared with GNSS positioning, INS positioning and conventional Kalman filter fusion positioning, the positioning accuracy of adaptive-coefficient Kalman filter in the 30 m × 6 m high shaded area of 100 m ×20 m experimental area was improved by 62. 1% ,48. 5% and 47. 7%, respectively. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 31

Main heading: Inertial navigation systems

Controlled terms: Adaptive filtering? - ?Adaptive filters? - ?Agricultural robots? - ?Farms? - ?Global positioning system? - ?Kalman filters? - ?Mobile robots? - ?Remote control

Uncontrolled terms: Adaptive-coefficient kalman filter? - ?Agricultural mobile robot? - ?Agricultural robot? - ?Combined positioning? - ?Filter-based? - ?Global Navigation Satellite Systems? - ?Positioning accuracy? - ?Positioning algorithms? - ?Positioning methods? - ?Semi-structured

Classification code: 731.1 Control Systems? - ?731.5 Robotics? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.1 Agricultural Machinery and Equipment

Numerical data indexing: Percentage 1.00E00%, Percentage 5.00E+00%, Percentage 7.00E+00%, Size 1.00E+02m, Size 2.00E+01m, Size 3.00E+01m, Size 6.00E+00m

DOI: 10.6041/j.issn.1000-1298.2022.S1.004

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

32. Development and Test of Self-walking Mulberry Garden Integrated Machine with Variable Proportion and Directional Disperse Fertilization

Accession number: 20231013693925

Title of translation:

Authors: Liu, Moehen (1, 2); Zhao, Qingji (1); Han, Shouqiang (1); Song, Zhanhua (1, 2); Li, Fade (1, 3); Yan, Yinfa (1, 2)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Shandong Agricultural University, Taian; 271018, China; (2) Shandong Provincial Key Laboratory of Horticultural Machinery and Equipment, Taian; 271018, China; (3) Shandong Provincial Engineering Laboratory of Intelligent Agricultural Equipment, Taian; 271018, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 120-130 and 140

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: A self-walking mulberry garden integrated machine with variable proportion and directional disperse fertilization was developed to balanced fertilization of nitrogen, phosphorus, potassium and organic fertilizers on demand and reduce non-point source pollution caused by unreasonable use of fertilization. The length, width and height of the integrated machine designed according to the planting row spacing of mulberry garden were 1 450 mm, 655 mm and 1 141 mm, respectively, and the key components were designed. It was found that the standard deviation of the fertilizer application deviation was less than 0. 4 when the roating speed of the flute-wheel was in the range of 20 ~ 80 r/min. The distribution of the curved leaves was symmetrical and the fertilization effect was better. The orthogonal test was used to optimize the directional fertilization plate. The better combination of the directional fertilization plate was 450 mm in length, 80 mm in height and 100° in bending angle. Through response surface analysis, the influence order of the factors on the variation coefficient of fertilizer distribution was as follows; the speed of the fertilizer disperse plate, the distance between the receiving port of the collision blending device and the center of the fertilizer disperse plate, the working speed of the machine. The working parameters were optimized. The optimization results were that the speed of the fertilizer disperse plate was 290. 1 r/min, the distance between the receiving port of the collision blending device and the center of the fertilizer disperse plate was 88. 2 mm and the working speed of the machine was 0. 5 ~ 0. 7 m/s. It was verified that the variation coefficient of fertilizer distribution was less than 40% when the self-walking mulberry garden integrated machine working at the field experiment. The research result can provide a reference for the balanced fertilization of mulberry garden on demand. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 29

Main heading: Wheels

Controlled terms: Blending? - ?Machine components? - ?Nitrogen fertilizers? - ?Plants (botany)? - ?Surface analysis

Uncontrolled terms: Directional disperse fertilization? - ?Fertilisation? - ?Flute-wheel discharge? - ?Integrated machines? - ?Mulberry garden? - ?On demands? - ?Variable proportion fertilization? - ?Variation coefficient? - ?Working speed

Classification code: 601.2 Machine Components? - ?802.3 Chemical Operations? - ?804 Chemical Products Generally? - ?821.2 Agricultural Chemicals? - ?951 Materials Science

Numerical data indexing: Angular velocity 1.67E-02rad/s, Angular velocity 3.34E-01rad/s to 1.336E+00rad/s, Percentage 4.00E+01%, Size 1.41E-01m, Size 2.00E-03m, Size 4.50E-01m, Size 6.55E-01m, Size 8.00E-02m, Velocity 7.00E+00m/s

DOI: 10.6041/j.issn.1000-1298.2022.S2.014

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

33. Remote Sensing Estimation Method of Carbon Flux in Farmland Ecosystem

Accession number: 20231013687246

Title of translation:

Authors: Wu, Jiangmei (1, 2); Tian, Zezhong (1, 2); Zhang, Haiyang (1, 2); Liu, Kaidi (1, 2); Li, Minzan (1, 2); Zhang, Yao (1, 2)

Author affiliation: (1) College of Information and Electrical Engineering, China Agricultural University, Beijing; 100083, China; (2) Key Laboratory of Smart Agriculture System Integration, Ministry of Education, China Agricultural University, Beijing; 100083, China

Corresponding author: Zhang, Yao(zhangyao@cau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 224-231

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to realize the dynamic monitoring of farmland ecosystem carbon flux, a method for estimating farmland ecosystem carbon flux based on Landsat series multi-source remote sensing data was proposed. Three experimental fields of agricultural Research and Development Center of University of Nebraska, northeastern United States were selected as the study area, and the corresponding flux site data published by AmeriFlux was used for subsequent modeling analysis. Based on the comprehensive analysis of climate variables, soil properties and plant traits, remote sensing factors closely related to carbon flux of farmland ecosystem were selected, and a full remote sensing factor data set covering key links of farmland ecological process was constructed. Then, the farmland carbon flux regression prediction model based on random forest was constructed. Compared with the ridge regression model and the lasso model, the model was more effective in estimating farmland ecosystem carbon flux, with a coefficient of determination of 0. 94 and a root mean square error of 4. 281 g/(m -d). According to the importance analysis of factors based on random forest model, the contributions of DVI, NDWI, MSAVI, NRI and NDVI to carbon flux estimation were 35. 6%, 25. 8%, 12. 2%, 7. 8% and 5. 2%, respectively. On the basis of above research, through the farmland ecosystem carbon balance space-time evolution characteristics analysis, the farmland carbon sink capacity was the strongest in 2013 when the crop growth was in the period of July and August in Nebraska, at the beginning of the planting soybeans and corn were rendered weak carbon source, and the carbon source ability was stronger for corn, in growth peak of corn and soybeans were in carbon sink, and the carbon sequestration ability was stronger for corn. The research result can provide theoretical support for accurately estimating the carbon budget of farmland ecosystems and guiding agricultural production. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 24

Main heading: Remote sensing

Controlled terms: Budget control? - ?Carbon? - ?Ecosystems? - ?Factor analysis? - ?Farms? - ?Forestry? - ?Landsat? - ?Mean square error? - ?Regression analysis? - ?Space optics

Uncontrolled terms: Carbon fluxes? - ?Corn? - ?Ecosystem carbons? - ?Farmland ecosystem? - ?Multi-source satellite remote sensing? - ?Multi-Sources? - ?Net ecosystem exchange? - ?Random forests? - ?Satellite remote sensing? - ?Soybean

Classification code: 454.3 Ecology and Ecosystems? - ?655.2 Satellites? - ?656.1 Space Flight? - ?741.1 Light/Optics? - ?804 Chemical Products Generally? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?922.2 Mathematical Statistics

Numerical data indexing: Mass 2.81E-01kg, Percentage 2.00E+00%, Percentage 6.00E+00%, Percentage 8.00E+00%

DOI: 10.6041/j.issn.1000-1298.2022.S1.024

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

34. Process Analysis and Parameter Optimization of Prawns Open-back Machine with Rotary Plate Clamping

Accession number: 20231013687238

Title of translation:

Authors: Wu, Haihua (1, 2); Li, Lu (1, 2); Xiong, Shi (3); Bai, Shenghe (1, 2); Niu, Kang (1, 2); Zhou, Liming (1, 2)

Author affiliation: (1) Chinese Academy of Agricultural Mechanization Sciences Group Co., Ltd., Beijing; 100083, China; (2) State Key Laboratory of Soil - Plant - Machine System Technology, Beijing; 100083, China; (3) Guangdong Institute of Modern Agricultural Equipment, Guangzhou; 510630, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 152-160

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: For prawns in open back processes, and lack of practical equipment, taking Litopenaeus vannamei as research object, the key technology of prawn back opening was studied, the factors affecting the effect of back opening were analyzed, and the evaluation index requirements were established, in the rotating disc prawn open back device was carried on the three factors three levels of response surface optimization test, and the optimized drive back parameters were obtained. A validation test was carried out. In order to study the main influencing factors of open-back process of prawn, a mechanical model of open-back process of prawn was established. The main influencing factors were tool angle, machining center disk speed and tool placement distance. The optimal range of influencing factors was determined by single factor test as follows: tool angle of 20° -60°, machining center disk speed of 10 ~ 40 r/min and tool placement distance of 9 ~ 11 mm. Based on Box - Behnken central composite design theory, the three-factor and three-level response surface test was designed, and the test data were analyzed and optimized. The theoretical optimization results were as follows: under the conditions of 43. 838° tool angle, 28.391 r/min tool rotation speed and 9.801 mm tool positioning distance, the success rate of back opening, shrimp damage rate, shrimp line naked success rate and sensory score were 99.161 %, 2.825%, 90.727% and 86.944. Verification test results showed that for medium Litopenaeus vannamei, when the tool angle was 45°, the processing center rotation speed was 28 r/min, and the tool placement distance was 9.8 mm, the success rate of back opening was 98.89%, the damage rate of shrimp was 3. 33%, the success rate of shrimp line exposure was 87. 78%, and the sensory score was 85. 33 points, and the absolute error between them and the theoretical optimization value was small. The reliability of the regression model prediction was proved, and the performance of the optimized prawns open-back device met the operation requirements. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 31

Main heading: Machining centers

Controlled terms: Digital storage? - ?Regression analysis? - ?Surface properties

Uncontrolled terms: Clamping wheel? - ?Disc speed? - ?Litopenaeus vannamei? - ?Open-back? - ?Parameter optimization? - ?Prawn? - ?Shrimp line bare? - ?Three-level? - ?Tool angle? - ?Tool positions

Classification code: 603.1 Machine Tools, General? - ?722.1 Data Storage, Equipment and Techniques? - ?922.2 Mathematical Statistics? - ?931.2 Physical Properties of Gases, Liquids and Solids? - ?951 Materials Science

Numerical data indexing: Angular velocity 1.67E-01rad/s to 6.68E-01rad/s, Angular velocity 4.676E-01rad/s, Angular velocity 4.741297E-01rad/s, Percentage 2.825E+00%, Percentage 3.30E+01%, Percentage 7.80E+01%, Percentage 9.0727E+01%, Percentage 9.889E+01%, Percentage 9.9161E+01%, Size 9.00E-03m to 1.10E-02m, Size 9.801E-03m, Size 9.80E-03m

DOI: 10.6041/j.issn.1000-1298.2022.S2.017

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

35. Design and Test of Ergonomic Layout for Tractor Cab Based on RAMSIS

Accession number: 20231013692709

Title of translation: RAMSIS

Authors: Ren, Deliang (1, 2); Xu, Shulei (1, 2); Wang, Xingwei (1, 2); Chen, Tingkun (3, 4); Guo, Hui (1, 2)

Author affiliation: (1) State Key Laboratory of Power System of Tractor, Luoyang; 471039, China; (2) Luoyang Tractor Research Institute Co., Ltd., Luoyang; 471039, China; (3) College of Biological and Agricultural Engineering, Jilin University, Changchun; 130022, China; (4) Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun; 130022, China

Corresponding author: Chen, Tingkun(chentk@jlu.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 303-309

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Due to the shortcomings of ergonomics and comfort in the design of tractor cabs, the mathematical model of each joint of the human body was established by theoretical calculation. The model was based on a definition of the angle and length of each joint of the human body in GB/T 21935 - 2008 standard, and the recommendation of GB/T 6235 - 2004 on the seat marking points position. Based on the simulation analysis of human manipulation based on RAMSIS software, a three-dimensional model of human manipulation comfort zone on both sides of the driver’s seat was constructed based on the optimized range of human manipulation comfort zone and accessibility zone specified in GB/T 21935 - 2008 standard. Combined with RAMSIS software, the existing tractor cab internal control components were optimized. The included angle between the foot accelerator pedal surface and the floor surface was adjusted from 45° to 35°. The overall position of the foot accelerator was shifted outward by 25 mm, and the width of the brake pedal surface was reduced by 40 mm. At the same time, the structure at the 265 mm distance from the ground of the main gear lever was adjusted outward by 20 mm, and the initial position of the hand brake was raised by 45 mm. Experiments were carried out on the optimized prototype, and the control force and stroke of each component were measured to verify the correctness of the proposed three-dimensional model of the human operation comfort zone. During the present study, a mathematical model of the comfort zone and the arrangement position of the control components was provided for the ergonomic design of the tractor cab. The research result could provide a reference for the tractor cab design. Also, it would expand the application of ergonomics in the field of tractor design and improve the driving comfort of tractors. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 24

Main heading: Ergonomics

Controlled terms: Brakes? - ?Computer software? - ?Tractors (agricultural)? - ?Tractors (truck)

Uncontrolled terms: Cab? - ?Comfort zone? - ?Control components? - ?Design and tests? - ?Handling arrangement? - ?Human bodies? - ?Human manipulation? - ?RAMSIS? - ?Three dimensional modelling? - ?Tractor

Classification code: 602 Mechanical Drives and Transmissions? - ?663.1 Heavy Duty Motor Vehicles? - ?723 Computer Software, Data Handling and Applications? - ?821.1 Agricultural Machinery and Equipment

Numerical data indexing: Size 2.00E-02m, Size 2.50E-02m, Size 2.65E-01m, Size 4.00E-02m, Size 4.50E-02m

DOI: 10.6041/j.issn.1000-1298.2022.S2.035

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

36. Design and Experiment of Piezoelectric Vibration Seed Homogenizer for Super Hybrid Rice

Accession number: 20231013685975

Title of translation:

Authors: Liu, Cailing (1); Li, Fanglin (1); Yuan, Hao (1); Jia, Xuan (1); Zhou, Zhizhi (1)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 58-68

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problems of poor uniformity of low sowing quantity precision metering device of vibrating rice seedling tray at present, which is difficult to provide a single row of stable seed flow, a piezoelectric vibrating homogenizing device was designed. The structural parameters of each component were determined by analyzing the vibration principle of piezoelectric vibrator, the dynamics of vibrating plate and the steering of rice seeds. The structural parameters of the vibrating plate were optimized. Taking the depth of the seed storage box, the angle of the steering groove and the direction of vibration as the test factors, the optimization test was carried out in combination with the Box - Behnken test scheme. The results showed that the interaction of the angle of the steering groove, the depth of the seed storage box, the direction of vibration and the angle of the steering groove had a significant impact on the test results. When the depth of the seed storage box was 8 mm, the angle of the steering groove was 49°, and the direction of vibration was 29°, and the coefficient of variation of seed evenness was 17. 91% . The relationship between the input voltage and the amplitude was further determined by the acceleration measurement bench test. Under the optimal structural parameters, the variation coefficient of uniformity, the qualified rate of sowing and the missed rate of sowing were 18. 20%, 94. 65% and 0. 67%, respectively. The seeding performance test at different uniform seeding speeds showed that when the working voltage was 130 ~ 180 V, the qualified seeding rate was no less than 94. 17% and the missed seeding rate was no more than 0. 83% . The adaptability test results of different rice varieties showed that under the three working voltages of 130 V, 150 V and 170 V, the qualified seeding rate was no less than 94. 17%, and the missed seeding rate was less than or equal to 1. 0%, which met the requirements of precision seedling raising and sowing of super hybrid rice. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 22

Main heading: Acceleration

Controlled terms: Piezoelectricity? - ?Plates (structural components)? - ?Structural optimization? - ?Vibration analysis

Uncontrolled terms: Discrete elements method? - ?Homogenizers? - ?Hybrid rice? - ?Piezoelectric? - ?Seed homogenizer device? - ?Seed storage? - ?Seeding rate? - ?Structural parameter? - ?Super hybrid rice? - ?Vibration

Classification code: 408.2 Structural Members and Shapes? - ?701.1 Electricity: Basic Concepts and Phenomena? - ?921.5 Optimization Techniques

Numerical data indexing: Percentage 0.00E00%, Percentage 1.70E+01%, Percentage 2.00E+01%, Percentage 6.50E+01%, Percentage 6.70E+01%, Percentage 8.30E+01%, Percentage 9.10E+01%, Size 8.00E-03m, Voltage 1.30E+02V, Voltage 1.30E+02V to 1.80E+02V, Voltage 1.50E+02V, Voltage 1.70E+02V

DOI: 10.6041/j.issn.1000-1298.2022.S1.007

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

37. CWSI Prediction Model of Greenhouse Tomato Canopy Based on LightGBM Algorithm

Accession number: 20231013687264

Title of translation: LightGBMCWSI

Authors: Sun, Quan (1); Geng, Lei (2); Zhao, Qihui (1); Yang, Jiahao (2); Lu, Ping (3); Li, Li (1)

Author affiliation: (1) Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing; 100083, China; (2) Key Laboratory of Smart Agriculture System Integration, Ministry of Education, China Agricultural University, Beijing; 100083, China; (3) Zhejiang SLA Engineering Design Co., Ltd., Hangzhou; 310000, China

Corresponding author: Li, Li(lily@cau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 270-276 and 308

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to study the prediction of crop water stress index ( CWSI) of tomato canopy in greenhouse, through the deployment of multi parameter sensors, the environmental parameter inside and outside the greenhouse can be obtained in real time. Using gray correlation analysis, the correlation degree between environmental parameters and tomato canopy CWSI and the sub factor correlation coefficient between environmental parameters was calculated, the environmental parameters were sorted according to the correlation degree, and the impact on the accuracy of the model was considered. Finally, a total of seven parameters from nine environmental parameters were selected as the model input, and a prediction model of greenhouse tomato canopy crop water stress index ( CWSI) based on LightGBM was established. Combined with Bayesian algorithm to optimize the key parameters, the correlation between the prediction results of the model and the CWSI value calculated by Jones empirical formula was analyzed. Under the same computing environment, it was compared with GBRT and SVR models respectively. The experimental results showed that the coefficient of determination (R ), mean absolute error (MAE), root mean square error (RMSE) and operation time of the Bayesian optimized LightGBM model were 0. 960 1, 0. 021 8, 0. 031 4 and 0. 051 8 s, respectively. Compared with GBRT and SVR models, R2was increased by 2. 14% and 14.05% respectively, MAE was reduced by 0.009 3 and 0. 061 2 respectively, RMSE was reduced by 0. 009 7 and 0. 059 1 respectively, and the time was shortened by 0. 045 9 s and 0. 061 2 s respectively. It was showed that the LightGBM model proposed had better performance, which could effectively improve the prediction accuracy of greenhouse tomato canopy CWSI, and provide a strategy for realizing greenhouse tomato on-demand irrigation and a reference for water requirement research. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 29

Main heading: Greenhouses

Controlled terms: Crops? - ?Forecasting? - ?Fruits? - ?Mean square error

Uncontrolled terms: Correlation degree? - ?Crop water stress indices? - ?Environmental parameter? - ?Greenhouse tomatoes? - ?Index predictions? - ?Lightgbm? - ?Mean absolute error? - ?Prediction modelling? - ?Root mean square errors? - ?Thermal-infrared

Classification code: 821.4 Agricultural Products? - ?821.6 Farm Buildings and Other Structures? - ?922.2 Mathematical Statistics

Numerical data indexing: Percentage 1.405E+01%, Percentage 1.40E+01%, Time 2.00E+00s, Time 8.00E+00s, Time 9.00E+00s

DOI: 10.6041/j.issn.1000-1298.2022.S1.030

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

38. Design and Experiment of Corn Combine Harvester Grain Loss Monitoring Sensor Based on EMD

Accession number: 20231013685810

Title of translation: EMD

Authors: Du, Yuefeng (1, 2); Zhang, Lirong (1, 2); Mao, Enrong (1, 2); Li, Xiaoyu (1, 2); Wang, Haojie (1, 2)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) Beijing Key Laboratory of Optimized Design for Modern Agricultural Equipment, China Agricultural University, Beijing; 100083, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 158-165

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The current corn cleaning loss monitoring sensors are affected by various problems such as the variety of cleaning products and the complex environmental noise, and the monitoring accuracy is difficult to meet the actual needs. In order to solve this problem, a clearing loss monitoring sensor based on PVDF piezoelectric sensitive element was designed to separate the vibration, industrial noise and stray signals in the collected signal. A minimum energy criterion based on DSP electronic signal processing was proposed. The EMD denoising method used the decomposition order corresponding to the minimum energy point of the IMF component as the signal-to-noise boundary point. The amplitude discrimination circuit identified the impact signal and calculated the loss rate. In order to verify the feasibility of this method, the signal with Gaussian white noise was simulated for denoising. Compared with wavelet denoising, low-pass filtering and moving average, the Matlab simulation results showed that the EMD denoising method based on the minimum energy criterion had the smallest root mean square error ( RMSE ), the highest signal-to-noise ratio (SNR), and the processed signal was the closest to the original signal. Changing the signal-to-noise ratio of the original simulation signal further verified that the results obtained by this method were always optimal. In order to verify the accuracy of the method, the corn kernels and miscellaneous mixtures with loss rates of 0, 5%, 10%, 15% and 20% were used as impact samples. Compared with the experimental data obtained by three denoising methods, wavelet denoising, low-pass filtering and moving average method, the average error of the minimum energy criterion EMD denoising method was reduced by 2. 12 percentage points, 4.40 percentage points and 6.52 percentage points, respectively. The research result was of great significance for improving the detection accuracy of corn cleaning loss rate, especially the research on denoising methods in the process of signal processing. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 25

Main heading: Empirical mode decomposition

Controlled terms: Low pass filters? - ?MATLAB? - ?Mean square error? - ?Signal to noise ratio? - ?White noise

Uncontrolled terms: Cleaning loss? - ?Combine harvesters? - ?Corn combine harvester? - ?Denoising methods? - ?Empirical Mode Decomposition? - ?Loss rates? - ?Minimum energy criterions? - ?Monitoring sensors? - ?Percentage points? - ?Wavelet denoising

Classification code: 703.2 Electric Filters? - ?716.1 Information Theory and Signal Processing? - ?723.5 Computer Applications? - ?921 Mathematics? - ?922.2 Mathematical Statistics

Numerical data indexing: Percentage 1.00E+01%, Percentage 1.50E+01%, Percentage 2.00E+01%, Percentage 5.00E+00%

DOI: 10.6041/j.issn.1000-1298.2022.S1.016

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

39. Processing Test and Parameter Optimization on Rotary Disc Pelleting Machine for Rapeseeds

Accession number: 20231013687206

Title of translation:

Authors: Zhang, Shuaiyang (1, 2); Lu, Chengxu (1, 2); Bai, Shenghe (1, 2); Wu, Jincan (1, 2); Du, Aili (1, 2); Mao, Wenhua (1, 2)

Author affiliation: (1) Chinese Academy of Agricultural Mechanization Sciences Group Co., Ltd., Beijing; 100083, China; (2) State Key Laboratory of Soil - Plant - Machine System Technology, Beijing; 100083, China

Corresponding author: Mao, Wenhua(mwh-924@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 131-140

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to study the influence of the core process of rapeseed pelletizing on the pellet quality, the contact mechanics of rapeseed pelletizing process were analyzed, a simulation model of the pelletizing process was constructed, validation tests were conducted and the rapeseed pelletizing process was optimized. The contact force analysis results led to the following conclusions: the tangential velocity was less than the threshold value, and no sliding friction occurred, which was the premise of bonding and coating. A larger normal contact force can increase the maximum static friction force, compact the pellet bonding, and promote the quality of pellets. Increasing the tangential contact force and reducing the normal contact force of pellets - pellets and powder - powder were beneficial to reduce the occurrence of problems such as multiple seeds, empty seeds, and deformation. The simulation analysis results showed that when the rotating speed was 1200 r/min, the average speed of seed pellets and powder was 0.22 m/ s, creating static bonding conditions; the standard deviation of the speed distribution of seed pellets and powder was 0.42 m/s and 0.52 m/s; the average velocity of pellets - pellets, powder - powder, affected multiple seeds and empty seeds production. The powder supply speed affected the ratio of seeds to powder in the core bonding area. Too much powder formed empty seeds and wastes powder, and insufficient powder reduced the coating efficiency. The results of the orthogonal test showed that the powder-to-liquid ratio was the most important factor affecting the quality of pelletizing. The optimal parameters of the pelletizing rapeseed processing technology were obtained as follows; when the rotating speed was 1200 r/ min, the powder-to-liquid ratio was 2.1, and the powder supply speed was 24 g/min, the qualified pellet rate was 95.1%, the single-seed rate was 94.9%, and the efficiency of pelletizing was 1.8 kg/h. The research revealed the mechanism of seed pelletization and formed the process of rape seed pelletization, which was beneficial to promote the improvement of rapeseed seed processing level. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 29

Main heading: Pelletizing

Controlled terms: Coatings? - ?Efficiency? - ?Oilseeds? - ?Rotating machinery

Uncontrolled terms: Contact forces? - ?Multiple seeds? - ?Normal contact force? - ?Parameter optimization? - ?Pelletisation? - ?Powder to liquid ratio? - ?Rapesed? - ?Rotary disk? - ?Rotating speed? - ?Test optimization

Classification code: 601.1 Mechanical Devices? - ?813.2 Coating Materials? - ?821.4 Agricultural Products? - ?913.1 Production Engineering

Numerical data indexing: Angular velocity 2.004E+01rad/s, Mass 1.80E+00kg, Mass flow rate 4.008E-04kg/s, Percentage 9.49E+01%, Percentage 9.51E+01%, Velocity 2.20E-01m/s, Velocity 4.20E-01m/s, Velocity 5.20E-01m/s

DOI: 10.6041/j.issn.1000-1298.2022.S2.015

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

40. Simulation Analysis and Experiment of Soil Disturbance by Chisel Plow Based on EDEM

Accession number: 20231013687167

Title of translation: EDEM

Authors: Zhang, Chong (1); Fan, Xuhui (1); Li, Mingsen (1); Li, Guang (1); Zhao, Chunkai (1); Sun, Wenliang (1)

Author affiliation: (1) Jilin Provincial Academy of Agricultural Machinery, Changchun; 130022, China

Corresponding author: Fan, Xuhui(cchkbjomfan@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 52-59

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to explore the soil disturbance mechanism of the chisel plow and build a simulation model between viscous black soil and the tillage components, the operation effect was compared with subsoiling shovel and the micro disturbance mechanism and macro disturbance state of chisel plow on soil was studied, and a farming simulation model suitable for the soil in Northeast China was established. The simulation and test results showed that the subsoiling shovel sheared and destroyed the soil, lifted and fell the tillage layer and plow bottom layer, loosened the soil without turning over, and did not damage the original topsoil soil structure. The test value of soil swelling was 12.4%, the test value of soil disturbance coefficient was 59.4%, the disturbance area of longitudinal section was 52 586 mm2, and the disturbance area of top view was 116 779 mm2, the chisel plow compressed and destroyed the soil, ploughs the bottom soil to the surface, and destroyed the original plough soil structure. The test value of soil swelling was 14.1%, the test value of soil disturbance coefficient was 64.1%, the disturbance area of longitudinal section was 54 128 mm2, and the disturbance area of top view was 233 061 mm2. Compared with the data after subsoiling shovel operation, chisel plow can achieve more obvious soil disturbance effect. At the same time, the discrete element soil tillage model under the condition of heavy black soil in Northeast China was established. The Hertz - Mindlin with JKR Cohesion model was selected as the soil contact model, and the technical parameters of the simulation model were determined. The simulation and the soil disturbance cross-sectional profile obtained from the test were basically fitted. The relative errors between the simulation value and the test value of soil bulkiness and soil disturbance coefficient were 17% and 4.4%, which can meet the data error range of simulation and simulation, which provided basic data for discrete element simulation analysis of soil tillage components in Northeast China. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 22

Main heading: Soils

Controlled terms: Agricultural machinery? - ?Farms? - ?Shovels? - ?Tillage

Uncontrolled terms: Chisel plough? - ?Disturbance mechanisms? - ?EDEM simulation analyse? - ?Macroscopic disturbance state? - ?Micro disturbance mechanism? - ?Micro-disturbance? - ?Simulation analysis? - ?Soil tillage? - ?Soil tillage model? - ?Soil trough test

Classification code: 483.1 Soils and Soil Mechanics? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.1 Agricultural Machinery and Equipment? - ?821.3 Agricultural Methods

Numerical data indexing: Percentage 1.24E+01%, Percentage 1.41E+01%, Percentage 1.70E+01%, Percentage 4.40E+00%, Percentage 5.94E+01%, Percentage 6.41E+01%, Size 1.28E-01m, Size 5.86E-01m, Size 6.10E-02m, Size 7.79E-01m

DOI: 10.6041/j.issn.1000-1298.2022.S2.006

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

41. Experiment on Electro-hydraulic Hitch Control System for Hilly and Mountainous Tractor Based on Semi-physical Simulation

Accession number: 20231013692707

Title of translation:

Authors: Zhai, Zhiqiang (1); Chen, Yiming (1, 2); Zhu, Shaohua (1); Du, Yuefeng (1); Zhu, Zhongxiang (1); Mao, Enrong (1)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) Xiaopeng Automobile Technology Co., Ltd., Guangzhou; 510530, China

Corresponding author: Zhu, Zhongxiang(zhuzhonxiang@cau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 328-337

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the difficulties in the field test and poor repeatability of the electro-hydraulic hitch control system for hilly and mountainous tractors, the research on the electro-hydraulic hitch control system was carried out based on the semi-physical simulation technology. Firstly, through the force analysis of the test tractor and the suspension operation device, the dynamic model of the whole hilly and mountainous tractor, the soil resistance model of the plough body and the dynamic model of the tractor suspension device were established. The system principles of lateral profiling control, position control, force control and force-position integrated control of the electro-hydraulic suspension system for hilly and mountainous tractors were analyzed, and then a fuzzy PID controller for the electro-hydraulic suspension of hilly and mountainous tractors was designed. Afterwards the electro-hydraulic suspension control system was developed, experiments such as terrain imitation control, force control, position control and force-position integrated control of electro-hydraulic suspension system were carried out, and the performances of fuzzy PID control and classical PID control method were compared and analyzed. Finally, the test results showed that the fuzzy PID control performance was better; in the position control mode, the fuzzy PID control had no overshoot, and the control system response time was 0. 6 s, which was about 33. 3% higher than the classical PID control; the steady-state error of the tillage control system was about 0. 05 cm, which was about 50% lower than that of the classical PID control; in the force control mode, the maximum value of the tillage depth following error of the fuzzy PID control was 0. 38 cm, and the standard deviation was 0. 17 cm, which were respectively 64.5% and 39.3% lower than that of the classical PID control, which verified the effectiveness of the developed electro-hydraulic suspension control system. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 24

Main heading: Three term control systems

Controlled terms: Agriculture? - ?Dynamic models? - ?Dynamics? - ?Force control? - ?Integrated control? - ?Position control? - ?Suspensions (components)? - ?Tractors (agricultural)? - ?Tractors (truck)

Uncontrolled terms: Control performance? - ?Control performance experiment? - ?Electro-hydraulic hitch? - ?Electro-hydraulics? - ?Fuzzy-PID control? - ?Hilly and mountainoi tractor? - ?Hitch control? - ?Hydraulic hitch? - ?Performance experiment? - ?Semi-physical simulations

Classification code: 601.2 Machine Components? - ?663.1 Heavy Duty Motor Vehicles? - ?731.1 Control Systems? - ?731.3 Specific Variables Control? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.1 Agricultural Machinery and Equipment? - ?921 Mathematics

Numerical data indexing: Percentage 3.00E+00%, Percentage 3.93E+01%, Percentage 5.00E+01%, Percentage 6.45E+01%, Size 1.70E-01m, Size 3.80E-01m, Size 5.00E-02m, Time 6.00E+00s

DOI: 10.6041/j.issn.1000-1298.2022.S2.038

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

42. Method of Cows Body Size Measurement Based on Key Frame Extraction and Head and Neck Removal

Accession number: 20231013694023

Title of translation:

Authors: Chu, Mengyuan (1, 2); Li, Mengfei (1, 2); Li, Qian (1, 2); Liu, Gang (1, 2)

Author affiliation: (1) Key Laboratory of Smart Agriculture Systems Integration, Ministry of Education, China Agricultural University, Beijing; 100083, China; (2) Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing; 100083, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 226-233 and 259

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to improve the efficiency and accuracy of cows body size measurement and reduce labor intensity, a cows body size measurement method based on key frame extraction and head and neck removal was proposed. Firstly, a cows top-down depth video acquisition platform was built, and the cows target in the depth image was extracted by using the watershed algorithm. Secondly, the contours of the left and right sides of the cows were obtained by using the image scanning strategy, and the key frames containing the complete cows torso in the image sequence were extracted by using the Hough transform-based line detection method. Then, according to the skeleton features of the cows’ head area, itwas determined whether the head existed. If the head existed, the cows’ head in the image was removed based on the convex hull analysis method, and the cows’ neck was removed by the polynomial curve fitting method. Finally, according to the spatial characteristics of the cows’ body measurement points, the straight length, shoulder width, belly width, hip width and body height of the cows were automatically calculated. The accuracy of the method was tested with 2 163 depth images of 35 cows. The analysis result showed that the accuracy of the key frame extraction method was 97. 36%, which can effectively replace the manual selection of key frames. The accuracy rate of the head detection method was 94. 04%, which improved the efficiency of the cows body measurement point positioning. The average relative error of body measurements was within 3.3%. The research results can effectively improve the efficiency and accuracy of automatic measurement of cows body size. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 28

Main heading: Efficiency

Controlled terms: Anthropometry? - ?Curve fitting? - ?Extraction? - ?Feature extraction? - ?Hough transforms? - ?Image processing? - ?Polynomial approximation

Uncontrolled terms: Body measurements? - ?Body sizes? - ?Cow? - ?Depth image? - ?Head and neck? - ?Head detection? - ?Key-frame extraction? - ?Key-frames? - ?Kinect DK? - ?Size measurements

Classification code: 461.3 Biomechanics, Bionics and Biomimetics? - ?723.2 Data Processing and Image Processing? - ?802.3 Chemical Operations? - ?913.1 Production Engineering? - ?921.3 Mathematical Transformations? - ?921.6 Numerical Methods

Numerical data indexing: Percentage 3.30E+00%, Percentage 3.60E+01%, Percentage 4.00E+00%

DOI: 10.6041/j.issn.1000-1298.2022.S2.026

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

43. Water and Fertilizer Transport Law and Root Response of Maize in Full-film Double Furrows Based on HYDRUS-2D/3D

Accession number: 20231013687247

Title of translation: HYDRUS-2D/3D

Authors: Deng, Huan (1); Dai, Fei (1); Shi, Ruijie (1); Wang, Feng (1); Song, Xuefeng (1); Zhao, Wuyun (1)

Author affiliation: (1) College of Mechanical and Electrical Engineering, Gansu Agricultural University, Lanzhou; 730070, China

Corresponding author: Dai, Fei(daifei@gsau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 100-108

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to study the law of soil water and fertilizer transport under the corn full film double ridge planting mode in northwest arid area, the HYDRUS - 2D/3D model was used to numerically simulate the law of soil water and fertilizer transport and root response of corn full film double ridge planting mode in Dingxi City, Gansu Province, the distribution law of soil water content and seed fertilizer concentration in the ridge under the full film double ridge planting mode was analyzed, and observation points at reasonable sowing depths were set to characterize the interaction law of soil water content, nitrogen phosphorus and migration of potassium, water and fertilizer. The simulation results showed that the circular lateral infiltration of soil water and fertilizer occurred at the infiltration holes and seed holes of full film double ridge and furrow, in which the fluctuation range of soil moisture content was 15.20%~17.12%, the concentration value of nitrogen fertilizer transformation in the ridge and furrow tended to be 15.38 mg/L, the concentration value of phosphorus fertilizer transformation tended to be 5.15 mg/L, and the concentration value of potassium fertilizer transformation tended to be 12.21 mg/L. Water and fertilizer were mainly concentrated in the ridge and furrow, which ensured the water and fertilizer demand at the seedling stage. The simulation of root water uptake and water and fertilizer transport showed that the soil water and fertilizer conditions under the full film double ridge and ditch mode met the needs of maize seedling emergence. The research model and results would provide a theoretical basis for the optimization and improvement of maize full film double ridge and furrow agronomic technology. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 27

Main heading: Soil moisture

Controlled terms: Infiltration? - ?Nitrogen fertilizers? - ?Phosphorus? - ?Seed

Uncontrolled terms: Concentration values? - ?Corn full film double ridge and ditch? - ?HYDRUS-2D/3D? - ?Plantings? - ?Ridge and furrow? - ?Root response? - ?Soil fertilizers? - ?Soil water? - ?Soil water and fertilizer transport? - ?Soil water content

Classification code: 483.1 Soils and Soil Mechanics? - ?804 Chemical Products Generally? - ?821.2 Agricultural Chemicals? - ?821.4 Agricultural Products

Numerical data indexing: Mass density 1.221E-02kg/m3, Mass density 1.538E-02kg/m3, Mass density 5.15E-03kg/m3, Percentage 1.52E+01%, Percentage 1.712E+01%

DOI: 10.6041/j.issn.1000-1298.2022.S2.012

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

44. Multi-objective Optimization of High-horsepower Tractor Gear Box Based on Improved NSGA - II

Accession number: 20231013692741

Title of translation: NSGA-

Authors: Zhang, Yan’An (1); Du, Yuefeng (1); Mao, Enrong (1); Meng, Qingfeng (1); Zhu, Zhongxiang (1)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China

Corresponding author: Du, Yuefeng(dyf@cau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 310-319

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to realize the lightweight of the high-horsepower tractor gear box under the requirements of strength and stiffness, a multi-objective optimization method for high-horsepower tractor gear box based on an improved non-dominated sorting genetic algorithm - II ( NSGA - II ) was proposed. Firstly, the force of the gear box was analyzed, and the statics simulation analysis method of the load-bearing gear box was proposed. The strength and stiffness performance of the gear box were simulated and analyzed by ANSYS. Then, K-means clustering algorithm, normal distribution crossover ( NDX) and differential mutation search strategy were introduced to improve the NSGA - E algorithm, and example tests were carried out. The results showed that the solution set distribution uniformity and stability of the improved NSGA - II were better than NSGA - E, and the optimization effect was better, which verified the effectiveness and superiority of the proposed algorithm. Finally, the multi-objective optimization of the gear box was carried out based on the improved NSGA - E algorithm, and the simulation analysis and verification of the optimized gear box were carried out. The results showed that the mass, maximum deformation and maximum stress of the optimized gear box were 168. 16 kg, 0.449 mm, and 215 MPa, respectively, which were better than 168. 16 kg, 0.454 mm, and 216. 12 MPa of NSGA - II. That realized the lightweight of the high-horsepower tractor gear box under the requirements of strength and stiffness, and further verified the effectiveness and superiority of the proposed algorithm in solving the multi-objective optimization problem of high-horsepower tractor gear box, and the research results provided a method reference for the simulation and optimization of the high-horsepower tractor gear box. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 25

Main heading: Multiobjective optimization

Controlled terms: Genetic algorithms? - ?K-means clustering? - ?Normal distribution? - ?Stiffness? - ?Tractors (agricultural)? - ?Tractors (truck)

Uncontrolled terms: Gear-box? - ?High-horsepower tractor? - ?Improved non-dominated sorting genetic algorithm - II? - ?K-means clustering algorithms? - ?Multi-objectives optimization? - ?Non dominated sorting genetic algorithm ii (NSGA II)? - ?Optimization method? - ?Static simulations? - ?Strength and stiffness? - ?Tractor gear

Classification code: 663.1 Heavy Duty Motor Vehicles? - ?821.1 Agricultural Machinery and Equipment? - ?903.1 Information Sources and Analysis? - ?921.5 Optimization Techniques? - ?922.1 Probability Theory? - ?951 Materials Science

Numerical data indexing: Mass 1.60E+01kg, Pressure 1.20E+07Pa, Pressure 2.15E+08Pa, Size 4.49E-04m, Size 4.54E-04m

DOI: 10.6041/j.issn.1000-1298.2022.S2.036

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

45. Virtual Leaf Reconstruction Method Based on Improved Harris Corner Detection

Accession number: 20231013687219

Title of translation: Harris

Authors: Yang, Liwei (1); Lai, Weneong (1); Liu, Gang (1); Liu, Xinlai (1); Zhang, Junning (2); Lu, Shusheng (3)

Author affiliation: (1) Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing; 100083, China; (2) Mechanical Electrical Engineering School, Beijing Information Science and Technology University, Beijing; 100192, China; (3) Chinese Academy of Agricultural Mechanization Sciences Group Co., Ltd., Beijing; 100083, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 213-217 and 262

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to analyze the morphological structure of cherry tree leaves and provide a theoretical basis for the light distribution of cherry tree canopy and the shaping and pruning of cherry fruit trees, a method for reconstructing cherry tree leaves was proposed based on improved Harris corner detection and Nurbs curve. The obtained original cherry tree leaf images were preprocessed by median filtering method and classical edge detection algorithm to obtain leaf contours. An algorithm was proposed to reconstruct the contour, aiming at the problems that a closed surface cannot be formed when the contour was reconstructed by the traditional NUBRS curve principle, and the feature points interfere with each other. The algorithm first divided the feature points into left and right parts, the contours of the left and right sides were reconstructed respectively, and then the two were connected to obtain a complete contour. Secondly, the improved Harris corner detection method was used to extract corner points as feature points. Thirdly, by detecting the degree of similarity between the gray value of the center point of the window and the gray values of other pixels in the surrounding n neighborhood, the difference between the gray values was calculated to set a threshold, and the corner points were extracted according to the threshold range. Finally, a virtual leaf was constructed according to the virtual contour. Experimental analysis showed that the improved algorithm greatly reduced the amount of useless computation, and the average consumption time was reduced from 4. 61 s to 2. 30 s. Based on the improved algorithm, the edge shape of cherry tree leaves can be perfectly maintained, which provided technical support for the calculation of light distribution in the cherry tree canopy. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 20

Main heading: Median filters

Controlled terms: Edge detection? - ?Orchards

Uncontrolled terms: Cherry leaf? - ?Contour reconstruction? - ?Corner detection? - ?Corner point? - ?Grey values? - ?Harris corner detection? - ?Improved * algorithm? - ?Light distribution? - ?Tree canopy? - ?Tree leaf

Classification code: 703.2 Electric Filters? - ?716.1 Information Theory and Signal Processing? - ?821.3 Agricultural Methods

Numerical data indexing: Time 3.00E+01s, Time 6.10E+01s to 2.00E+00s

DOI: 10.6041/j.issn.1000-1298.2022.S1.022

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

46. Design and Experiment of Pneumatic Aggregate and Discharge Precision Fertilizer Mixing Device

Accession number: 20231013692713

Title of translation:

Authors: Jia, Honglei (1, 2); Tan, Hewen (1); Wen, Xiangyu (3); Wang, Gang (1); Yuan, Hongfang (1); Huang, Dongyan (1, 2)

Author affiliation: (1) College of Biological and Agricultural Engineering, Jilin University, Changchun; 130022, China; (2) Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun; 130022, China; (3) Shenzhen Modern Agricultural Equipment Research Institute, Shenzhen; 518038, China

Corresponding author: Wang, Gang(gw611004@jlu.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 109-119 and 203

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to meet the requirement of top dressing in the middle and late period of maize growth, a kind of pneumatic gathering and discharging type corn precision fertilizer mixing device was designed. The variable mixing fertilizer scheme with pneumatic set and row was designed. The motor driven blade rotation was used to mix fertilizer, and the inside of the fertilizer distributor was designed as a cone structure. By means of computer fluid dynamics, discrete element coupling method and two factors and five levels orthogonal experiment, the dip angle of the fertilizer outlet and the structure and arrangement of the bellows at the upper end of the distributor were studied. With the coefficient of variation of fertilizer discharge in each row as the test index, and with the angle of fertilizer discharge outlet, conveying gas velocity, and bellows length as the experiment factors, a three-way quadratic regression orthogonal combination design experiment was conducted to obtain the optimal operation parameters of key components of the precision fertilizer mixing device, namely, the angle of fertilizer discharge outlet of 45°, conveying gas velocity of 35 m/s, and bellows length of 568 mm. The inlet layout of fertilizer mixer was as follows; central layout, and the number of blades was 8. In June 2019, the machine field inspection was done at the National Agricultural Machinery and Tools Quality Supervision and Inspection Center, the inspection results showed that the machine’s fertilizer application error was 2%, the total fertilizer application stability coefficient was 2%, and the fertilization rate was less than 2% . The research result can provide useful reference for the design and development of pneumatic fertilizing machinery and tools. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 26

Main heading: Mixing

Controlled terms: Agricultural machinery? - ?Fertilizers? - ?Inspection? - ?Machine design? - ?Pneumatics

Uncontrolled terms: Computer fluid dynamics? - ?Conveying gas? - ?Coupling methods? - ?Discrete elements? - ?Fertilizer apparatus? - ?Fertilizer applications? - ?Gas velocity? - ?Mixing devices? - ?Pneumatic transmission? - ?Precise mixing

Classification code: 601 Mechanical Design? - ?632.3 Pneumatics? - ?802.3 Chemical Operations? - ?804 Chemical Products Generally? - ?821.1 Agricultural Machinery and Equipment? - ?821.2 Agricultural Chemicals

Numerical data indexing: Percentage 2.00E+00%, Size 5.68E-01m, Velocity 3.50E+01m/s

DOI: 10.6041/j.issn.1000-1298.2022.S2.013

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

47. Light Distribution Prediction Model of Group Cherry Trees Canopy Based on 3D Point Cloud

Accession number: 20231013687241

Title of translation:

Authors: Liu, Gang (1); Yin, Yihan (1, 2); Zheng, Zhiyuan (1, 2); Zhou, Shaoqing (1, 2); Li, Hongjuan (2); Hou, Chong (3)

Author affiliation: (1) Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing; 100083, China; (2) Yantai Institude of China Agricultural University, Yantai; 264670, China; (3) Chinese Academy of Agricultural Mechanization Sciences Croup Co.,Ltd., Beijing; 100083, China

Corresponding author: Li, Hongjuan(313471105@qq.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 263-269

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: A reasonable eanopy strueture and cultivation density of fruit trees can increase the amount of light interception within their canopies, which has an important impact on improving the yield and quality of fruit. A 3D point cloud-based model for predicting the canopy light distribution of group cherry trees was proposed by using a thin spindle-shaped cherry tree as the research object. Firstly, the Azure Kinect DK camera was used to obtain the 3D point cloud data of the group cherry trees, and the complete 3D point cloud data of the group cherry trees were obtained through point cloud data pre-processing. Secondly, according to the actual cherry tree canopy segmentation method, the point cloud data of cherry tree canopies were point cloud stratified and the point cloud colour features of different regions were extracted. Again, a point cloud projection area calculation method based on the Delaunay triangulated concave packet algorithm was proposed to calculate the point cloud projection area of different regions through concave packet boundary point extraction and vector product fork multiplication. Finally, a model for predicting the light distribution in the canopy of group cherry trees was developed, which was a random forest model with point cloud colour characteristics and relative projected area characteristics as input and measured relative light intensity as output. The experimental results showed that the model was able to predict the light distribution in the canopy of cherry trees with a mean coefficient of determination of 0. 885 and root mean square error of 0. 071 6. The research results can provide technical support for reasonable planting density management and automated pruning of cherry trees during dormancy. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 21

Main heading: Forecasting

Controlled terms: Cultivation? - ?Data handling? - ?Forestry? - ?Fruits? - ?Mean square error? - ?Orchards

Uncontrolled terms: 3D point cloud? - ?Cultivation density? - ?Group cherry tree? - ?Illumination distribution? - ?Illumination distribution prediction? - ?Light distribution? - ?Point cloud data? - ?Point-clouds? - ?Projected area? - ?Three-dimensional point clouds

Classification code: 723.2 Data Processing and Image Processing? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?922.2 Mathematical Statistics

DOI: 10.6041/j.issn.1000-1298.2022.S1.029

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

48. Electric-driven Mung Bean Precision Seeder Control System Based on IGWO - LADRC

Accession number: 20231013685811

Title of translation: IGWO-LADRC

Authors: Wang, Song (1); Zhao, Bin (1); Yi, Shujuan (1); Zhao, Xue (2); Liu, Zhiqiang (1); Sun, Yue (1)

Author affiliation: (1) College of Engineering, Heilongjiang Bayi Agricultural University, Daqing; 163319, China; (2) College of Software, Shanxi Agricultural University, Taigu; 030801, China

Corresponding author: Zhao, Bin(616283364@qq.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 87-98

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problems of high missing index and non-precision seeding due to the small theoretical seeding spacing, small qualified range and internal and external interference of the system during precision seeding of mung bean, an electric-driven mung bean precision seeder control system based on IGWO - LADRC was studied. The modeling of the seeding motor was proposed, and an improved grey wolf optimizer ( IGWO ) was proposed to tune the parameters of the linear active disturbance rejection control ( LADRC ) . The advantages of intelligent control system were tested by comparing the four seeding motor control strategies of empirical tuning PID, empirical tuning LADRC, GWO - LADRC and IGWO -LADRC. Simulation experiment showed that the electric-driven mung bean precision seeding control system based on IGWO - LADRC algorithm had a fitness of 1.532 0, no overshoot, a settling time of 0. 57 s, almost no steady-state error, a disturbance recovery time of 0. 35 s, and no oscillation phenomenon and no steady-state error after reached the steady state again. The results of the seeding performance experiment showed that compared with the traditional chain-driven seeding, qualified index was increased by 2. 75 percentage points, multiple index was decreased by 0. 46 percentage points, missing index was decreased by 2. 22 percentage points, precision index was decreased by 8. 91 percentage points, and the precision index of qualified seeding spacing was decreased by 7. 89 percentage points, compared with the traditional PID electric-driven seeding, qualified index was increased by 2. 20 percentage points, multiple index was decreased by 0. 37 percentage points, missing index was decreased by 1.30 percentage points, precision index was decreased by 7.28 percentage points, and the precision index of qualified seeding spacing was decreased by 4. 47 percentage points, all of which met the national standards. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 19

Main heading: Disturbance rejection

Controlled terms: Electric machine control? - ?Tuning

Uncontrolled terms: Electric-driven seede? - ?Empirical tuning? - ?Gray wolves? - ?Improved gray wolf algorithm? - ?Linear active disturbance rejection controls? - ?Mungbeans? - ?Optimizers? - ?Percentage points? - ?Precision index? - ?Precision seeding

Classification code: 731 Automatic Control Principles and Applications? - ?731.2 Control System Applications

Numerical data indexing: Time 3.50E+01s, Time 5.70E+01s

DOI: 10.6041/j.issn.1000-1298.2022.S1.010

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

49. Vertical Distribution Law of Six-rotor Plant Protection UAV Based on Multi-feature Parameters

Accession number: 20231013687214

Title of translation:

Authors: Wang, Ling (1); Zhang, Qi (1); Hou, Qihang (1); Chen, Du (1); Wang, Shumao (1)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China

Corresponding author: Wang, Shumao(wangshumao@cau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 75-83

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: During the operation of plant protection UAV, the vertical distribution law of the rotor wind field and the wind speed have a direct impact on the transport effect of droplets and the disturbing effect of the crop canopy. Taking the vertical distribution of the six-rotor UAV as an object, the simulation model of the rotor wind field using the numerical simulation technology based on the lattice Boltzmann method was established when UAV flying. In addition, according to the orthogonal test method, the influence of multi-feature parameter fusion on the vertical distribution of wind field and wind speed was studied. The simulation results showed that the vertical distribution wind field was symmetrically distributed perpendicular to the flight direction. When the flight height and flight speed increased or the operating load decreased, the wind field intensity was gradually weakened; the vertical distribution wind field was inclined along the crosswind direction, and when the crosswind wind speed was greater than 3 m/s, the lateral inclination of the wind field exceeded 45°. Besides, a miniature wireless wind speed acquisition system was developed based on the constant temperature difference thermal chip, and a multi-factor field verification test of the vertical distribution characteristics of the wind field of the plant protection UAV was carried out. The results showed that the vertical distribution law of the rotor wind field between the simulation and the field test was basically the same, the relative error was small, and the vertical distribution of wind field had good consistency. The numerical simulation method can effectively simulate the unsteady flow during the flight process of plant protection UAV, and the simulation and field test results would provide a theoretical basis for the study of the droplet deposition of the plant protection UAV. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 20

Main heading: Unmanned aerial vehicles (UAV)

Controlled terms: Drops? - ?Flight simulators? - ?Numerical methods? - ?Numerical models? - ?Wind speed

Uncontrolled terms: Acquisition systems? - ?Distribution law? - ?Mini-wireless wind speed acquisition system? - ?Multi-features parameter? - ?Plant protection? - ?Six-rotor plant protection UAV? - ?Vertical distribution of wind field? - ?Vertical distributions? - ?Wind field? - ?Wind speed

Classification code: 615.8 Wind Power (Before 1993, use code 611 )? - ?652.1 Aircraft, General? - ?921 Mathematics? - ?921.6 Numerical Methods

Numerical data indexing: Velocity 3.00E+00m/s

DOI: 10.6041/j.issn.1000-1298.2022.S2.009

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

50. Analysis and Experiment on Kernel Loss of Seed Corn during Peeling Based on DEM

Accession number: 20231013687117

Title of translation:

Authors: Liu, Lei (1, 2); Du, Yuefeng (1, 2); Li, Xiaoyu (1, 2); Liu, Lilian (1, 2); Zhang, Yan’an (1, 2); Yang, Fan (1, 2)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) Beijing Key Laboratory of Optimized Design for Modern Agricultural Equipment, China Agricultural University, Beijing; 100083, China

Corresponding author: Du, Yuefeng(dyf@cau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 28-38

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Seed corn has much seed crushing and shedding losses during the peeling process, which seriously affects seed corn’s yield and economic efficiency. Therefore, a combination of theoretical analysis, discrete element simulation, and orthogonal tests was used to investigate the interaction between the seed corn ears and the peeling mechanism. The optimal combination of peeling parameters was determined to optimize the peeling process of seed corn. Firstly, a theoretical analysis of the force and motion of the seed corn ear in the peeling mechanism was conducted to investigate the peeling mechanism-seed corn interaction during the peeling process and identify the main factors affecting the peeling performance. Secondly, a simulation model of seed corn ear-peeling mechanism interaction was established based on DEM. The better working range of peeling roller speed, peeling roller inclination angle, and pendulum swing were determined by analyzing the seed damage and shedding. Finally, according to the Box - Behnken design method, a three-factor, three-level orthogonal test was designed. The best combination of operating parameters for the seed corn peeling mechanism was screened by ANOVA and response surface analysis as follows: peeling roller speed of 300 r/min, peeling roller inclination angle of 10°, and pendulum swing amplitude of 5°, at which the bract stripping rate was 94.13%, the grain falling rate was 1.564%, and the grain crushing rate was 1.292%. The optimal combination of operating parameters of the peeling mechanism obtained from the experiment significantly improved the peeling effect of seed corn. The research results can provide a reference for the optimal design of the seed corn peeling mechanism to enhance the peeling efficiency of seed corn and reduce the grain crushing rate and the grain falling rate during the peeling operation. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 18

Main heading: Pendulums

Controlled terms: Crushing? - ?Economic efficiency? - ?Grain (agricultural product)? - ?Rollers (machine components)? - ?Surface analysis

Uncontrolled terms: DEM? - ?Grain loss? - ?Inclination angles? - ?Operating parameters? - ?Optimal combination? - ?Orthogonal experiment? - ?Orthogonal test? - ?Peeling mechanism? - ?Roller speed? - ?Seed corns

Classification code: 601.2 Machine Components? - ?821.4 Agricultural Products? - ?911.2 Industrial Economics? - ?951 Materials Science

Numerical data indexing: Angular velocity 5.01E+00rad/s, Percentage 1.292E+00%, Percentage 1.564E+00%, Percentage 9.413E+01%

DOI: 10.6041/j.issn.1000-1298.2022.S2.004

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

51. Analysis of Influence of Tractor Rotary Tillage Load on Power Take-off Driveline

Accession number: 20231013687158

Title of translation:

Authors: Shao, Xuedong (1, 2); Yang, Zihan (1, 2); Song, Zhenghe (1, 2); Liu, Jianghui (3); Yuan, Wei (3)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) Beijing Key Laboratory of Optimized Design for Modern Agricultural Equipment, China Agricultural University, Beijing; 100083, China; (3) Luoyang Xiyuan Vehicle and Power Inspection Institute Co., Ltd., Luoyang; 471000, China

Corresponding author: Song, Zhenghe(songzhenghe@cau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 332-339

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to study the influence of tractor rotation tillage load on power take-off driveline, the system dynamics modeling, bench experiment verification, field test and simulation analysis were used. Firstly, based on the structure analysis of the power output driveline, a torsional vibration coupled spatial dynamics model was established to describe the load transfer mechanism. In this model, transverse and vertical transmission effects of gear meshing were considered in detail. Secondly, the tractor power takeoff ( PTO ) loading experiment bench was used to verify the simulation results of the model. The verification results showed that the maximum lateral and vertical mesh frequency errors were 4. 24% and 5. 12%, respectively, which met the modeling requirements. Then, the data acquisition system composed of wireless torque sensor and BeiDou positioning system was built, and the data of rotary tillage operation in the field under LI (2. 07 km/h), L2 (3. 10 km/h) and L3 (5. 29 km/h) were collected respectively. The results of the field test showed that the load level and fluctuation range of rotary tillage were increased with the increase of gear and driving speed. Finally, the influence of PTO load on gear transfer characteristics was simulated by using the established dynamic model. The results showed that the higher the tractor gear for rotary tillage operation, the greater the vibration displacement of power take-off driveline caused by the fluctuation of PTO load, which was mainly reflected in the lateral vibration. The above research provided theoretical model and data reference for durability design and load spectrum loading experiment of tractor power take-off driveline. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 22

Main heading: Power takeoffs

Controlled terms: Data acquisition? - ?Elastic waves? - ?Machine vibrations? - ?Tractors (agricultural)? - ?Tractors (truck)? - ?Vibration analysis

Uncontrolled terms: Drivelines? - ?Gear transfer effect? - ?Load characteristics? - ?Power take-off driveline? - ?Power take-offs? - ?Rotary tillage operation? - ?Rotary tillages? - ?Torsional vibration? - ?Torsional vibration coupling? - ?Tractor ? - ?Vibration coupling

Classification code: 601.3 Mechanisms? - ?663.1 Heavy Duty Motor Vehicles? - ?723.2 Data Processing and Image Processing? - ?821.1 Agricultural Machinery and Equipment? - ?931.1 Mechanics

Numerical data indexing: Percentage 1.20E+01%, Percentage 2.40E+01%, Size 1.00E+04m, Size 2.90E+04m, Size 7.00E+03m

DOI: 10.6041/j.issn.1000-1298.2022.S1.037

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

52. Research and Design of Pig House Disinfecting Inspection Robot System

Accession number: 20231013694126

Title of translation:

Authors: Zhao, Wenwen (1); Wang, Haifeng (1); Zhu, Jun (1); Li, Bin (1)

Author affiliation: (1) Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing; 100097, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 270-277

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the problems of large-scale pig house, such as high labor intensity, repeated operations and severe epidemic situation, a pig house disinfection and sterilization inspection and environmental monitoring systemwas designed. The system integrated the 2D LiDAR based simultaneous localization and mapping (SLAM) and ultra wide band (UWB) technologies to realize the building of in-house map and real-time positioning of the system. On the basis of determining the installation height of the thermal infrared module to be 125 cm and the horizontal downward angle of the installation inclination to be 5°, the Jetson Xavier NX edge computing unit was used to deploy vision processing and recognition algorithms to conduct online inspections of pig body temperature. The edge computing unit was used to intelligently control the atomization module and the ultraviolet module in the disinfection module according to the terminal instructions and the information of the micro-environment in the house, so as to realize the multi-mode disinfection of the indoor environment. The sensor technology was used to monitor the environmental parameters in the house in real time. Human-computer interaction interface was built to realize the display, alarm and storage of monitoring information. The test results showed that the system can complete map construction, automatic navigation, pig body temperature detection, and record abnormal pig thermal infrared pictures and the location of the enclosure. According to the set disinfection and sterilization mode, the accuracy of completing the corresponding disinfection and sterilization function at the target point was 100%. The relative errors of C02 concentration, temperature and humidity in the room were 0. 04%, 3. 00% and 2. 10% respectively in the inspection state and static state of the robot. The research result can provide technical equipment reference for the less-humanized/unmanned operation of inspection and disinfection of pig houses during the epidemic situation. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 21

Main heading: Disinfection

Controlled terms: Environmental technology? - ?Houses? - ?Indoor positioning systems? - ?Infrared radiation? - ?Inspection? - ?Physiology? - ?Robots? - ?Sterilization (cleaning)? - ?Ultra-wideband (UWB)

Uncontrolled terms: Automatic navigation? - ?Body temperature? - ?Body temperature inspection? - ?Edge computing? - ?Environmental Monitoring? - ?House disinfection and sterilization? - ?Large-scale swine house? - ?Large-scales? - ?Pig house? - ?Thermal-infrared

Classification code: 402.3 Residences? - ?454 Environmental Engineering? - ?461.9 Biology? - ?716.3 Radio Systems and Equipment? - ?731.5 Robotics? - ?741.1 Light/Optics

Numerical data indexing: Percentage 0.00E00%, Percentage 1.00E+01%, Percentage 1.00E+02%, Percentage 4.00E+00%, Size 1.25E+00m

DOI: 10.6041/j.issn.1000-1298.2022.S2.031

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

53. Flow Detection Mechanism of Granular Fertilizer Based on Light Blocking Principle

Accession number: 20231013687225

Title of translation:

Authors: Jiang, Meng (1); Liu, Cailing (1); Du, Xin (1); Li, Fanglin (1); Zhou, Zhizhi (1)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China

Corresponding author: Liu, Cailing(cailingliu@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 91-99

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In agricultural production, it is challenging to detect the flow rate of fertilization due to the large amount and the mutual shielding of fertilizer particles. A granular fertilizer flow detection method based on the principle of luminous flux blocking was proposed to solve this problem. The feasibility of the detection method was preliminarily determined by theoretical analysis; discrete element simulation was used to analyze the distribution of granular fertilizer discharge in the conveying tube, which provided a basis for the structural design and installation position of the particle flow detection sensor (PFDS). Based on the above analysis, the PFDS and test-bench were designed. Experiments were carried out by selecting urea and compound fertilizer as materials and the fertilizer discharging wheel (FDW) speed as factors to verify the method. The results showed a strong linear correlation between fertilizer flow and the cumulative response voltage of PFDS. Under different fertilization frequencies, the correlation determination coefficient (R2) of both was higher than 0. 992. The detection models of each fertilizer frequency were established. Absolute percentage error (AE) and mean absolute percentage error (MAPE) were selected as the index. The MAPE of the detection model based on the “accelerate” for urea and compound fertilizer were 5. 18% and 4. 07%, respectively. And the detection error was lower than that of others, so the establishment method of the optimal detection model was determined. To solve the matching problem between the PFDS and fertilizer tube with different diameters, the experiments were carried out by taking the number of sensitive elements and the inner diameter of the PFDS as factors. The results showed that when the density of detection elements was 0.075~0.75, the MAPE range for urea and compound fertilizer were 4. 75%~9.33% and 4.07%~9.11%, respectively, and the MAPE was decreased with the increase of detection element density. The detection method would provide technical support and solutions for granular fertilizer flow detection. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 29

Main heading: Urea

Controlled terms: Error detection? - ?Fertilizers? - ?Metabolism? - ?Structural design

Uncontrolled terms: Blockings? - ?Compound fertilizer? - ?Detection methods? - ?Detection sensors? - ?Fertilisation? - ?Flow detection? - ?Granular fertilizers? - ?Light blocking principle? - ?Particle flow? - ?Percentage error

Classification code: 408.1 Structural Design, General? - ?804 Chemical Products Generally? - ?804.1 Organic Compounds? - ?821.2 Agricultural Chemicals

Numerical data indexing: Percentage 1.80E+01%, Percentage 4.07E+00%, Percentage 7.00E+00%, Percentage 7.50E+01%, Percentage 9.11E+00%, Percentage 9.33E+00%

DOI: 10.6041/j.issn.1000-1298.2022.S2.011

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

54. Mechanism Analysis of Combine Harvester’s Vibration Characteristics under Feeding Interference

Accession number: 20231013687224

Title of translation:

Authors: Ding, Hantao (1, 2); Chen, Shuren (1, 2); Zhou, Weiwei (1, 2); Liang, Runzhi (1, 2)

Author affiliation: (1) Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, Jiangsu University, Zhenjiang; 212013, China; (2) School of Agricultural Engineering, Jiangsu University, Zhenjiang; 212013, China

Corresponding author: Chen, Shuren(srchen@ujs.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 20-27 and 51

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The change of the feeding amount will cause the various working parts to be subjected to variable load impact and unbalanced force, resulting in a sudden change in the vibration of the combine harvester when it is working. Aiming at the stability and reliability of the combine harvester, based on the combine harvester motion balance equation and the correlation analysis method of the external vibration disturbance signal, the vibration acceleration signal of the main working parts under different feeding amounts was obtained by carrying out the variable feeding vibration test of the combine harvester under field conditions. When the fed grains exhibited strong damping characteristics, the vibration acceleration signal was decreased accordingly. However, when the power demand of the harvester was increased, it would further lead to the phenomenon of increased vibration signal. The acceleration signal measured by the test was processed by quadratic integration, and the acceleration signal was converted into a frequency domain signal by fast Fourier transform. The change of amplitude and the characteristics of excitation frequency were obtained. The vibration caused by the disturbance of the feeding amount mainly occurred in the low frequency excitation frequency range, and the damping characteristic of the feeding amount reduced the high frequency amplitude. The feeding amount had the most obvious effect on the vibration of the threshing drum, and the maximum amplitude was attenuated from 17 μm to 2. 8 μm, and the change degree could reach 83.5%. The change degree of header and the conveying trough was 55.8% and 7.69%, respectively. The maximum peak point of the threshing drum also moved left from the mid-frequency near 195 Hz to the low-frequency near 117 Hz. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 18

Main heading: Feeding

Controlled terms: Acceleration? - ?Agriculture? - ?Conveying? - ?Damping? - ?Equations of motion? - ?Fast Fourier transforms? - ?Frequency domain analysis? - ?Harvesters? - ?Reliability analysis? - ?Vibration analysis

Uncontrolled terms: Acceleration signals? - ?Combine harvesters? - ?Damping characteristics? - ?Excitation frequency? - ?Feeding amount? - ?Feeding interference? - ?Lower frequencies? - ?Vibration acceleration? - ?Vibration characteristics? - ?Working parts

Classification code: 691.2 Materials Handling Methods? - ?692.1 Conveyors? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.1 Agricultural Machinery and Equipment? - ?921.2 Calculus? - ?921.3 Mathematical Transformations? - ?931.1 Mechanics

Numerical data indexing: Frequency 1.17E+02Hz, Frequency 1.95E+02Hz, Percentage 5.58E+01%, Percentage 7.69E+00%, Percentage 8.35E+01%, Size 1.70E-05m to 2.00E-06m, Size 8.00E-06m

DOI: 10.6041/j.issn.1000-1298.2022.S2.003

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

55. Non-destructive Detection of Sprouting Potatoes Based on Shuffle-Net

Accession number: 20231013687130

Title of translation: Shuffle-Net

Authors: Wang, Feiyun (1, 2); Lu, Chengxu (1, 2); Wu, Jincan (1, 2); Cong, Jie (1, 2); Lu, Huangzhen (1, 2); Zhao, Bo (1, 2)

Author affiliation: (1) Chinese Academy of Agricultural Mechanization Sciences Group Co.,Ltd., Beijing; 100083, China; (2) State Key Laboratory of Soil - Plant - Machine System Technology, Beijing; 100083, China

Corresponding author: Zhao, Bo(zhaoboshi@126.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 309-315

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In view of the demand for online detection of sprouted potatoes, a lightweight convolutional neural network was proposed to detect sprouted potatoes. Firstly, the acquired potato samples were collected based on the grading line, and the samples were expanded through data enhancement. The Shuffle - Net lightweight convolutional neural network was built, and the effects of different learning rates and learning rate decay strategies on the model were compared. Experiment results showed that when the learning rate was 0. 001 and the decay strategy was W - EP, the performance was the best. The overall recognition accuracy of sprouted potato and healthy potato was 97. 8%, the single sample recognition time was 0. 14 s, and the model memory footprint was 5. 2 MB. The experimental results were evaluated, the precision was 98. 0%, the recall was 97. 1%, the specificity was 98. 4%, and the harmonic mean was 97.5%. The VGG11, Alex - Net, and Res - NetlOl models were selected for comparison with the model. It was found that the recognition accuracy of the model was greatly improved compared with that of the VGG11 and Alex -Net, and the recognition speed of a single sample was 5 times higher than that of Res - Net101. Compared with VGG11, it was nearly 7 times higher, and the model volume was greatly reduced compared with that of VGG11, Alex - Net, and Res - Net101. In the experiment, the internal convolution of the model was visually analyzed and the results were misjudged. It was found that when the buds were dark, short and at the edge of the tuber, misjudgment would be caused. It can be concluded that this experimental model realized the accurate and effective identification of sprouted potato, and it also had the advantages of fast identification speed, small size and strong portability, which can provide theoretical support for the external non-destructive testing and classification of agricultural products. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 28

Main heading: Convolution

Controlled terms: Agricultural products? - ?Convolutional neural networks? - ?Grading? - ?Learning algorithms? - ?Learning systems? - ?Nondestructive examination

Uncontrolled terms: Convolutional neural network? - ?Data enhancement? - ?Learning rates? - ?Learning strategy? - ?Nondestructive detection? - ?On-line detection? - ?Recognition accuracy? - ?Shuffle-net? - ?Single sample? - ?Sprouting potato

Classification code: 716.1 Information Theory and Signal Processing? - ?723.4.2 Machine Learning? - ?821.4 Agricultural Products

Numerical data indexing: Percentage 0.00E00%, Percentage 1.00E00%, Percentage 4.00E+00%, Percentage 8.00E+00%, Percentage 9.75E+01%, Time 1.40E+01s

DOI: 10.6041/j.issn.1000-1298.2022.S1.034

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

56. Design of Calf Feeding Information System and Forecast of Milk Supply Quantity

Accession number: 20231013694021

Title of translation:

Authors: He, Gang (1, 2); Zhai, Gaixia (2); Zhu, Tianyu (3); Cai, Xiaohua (3); Wang, Decheng (1)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) Huhhot Branch of Chinese Academy of Agricultural Mechanization Sciences Co., Ltd., Huhhot; 010010, China; (3) Heilongjiang Academy of Agricultural Machinery Sciences, Harbin; 150081, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 241-248

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: With the improvement of the requirements for intensive breeding of calves in large-scale pastures in China, in terms of nutrition, immunity and management efficiency, a feeding information system was designed to realize the visual management of data in the whole feeding process of calves of different ages, aiming to adapt to the needs of the reform of the working mode of breeding managers. Improved Logistic regression algorithm was used to predict the milk supply of calves to realize automatic and accurate feeding, and ensure the healthy development of calves. Based on the B/S architecture, a calf feeding information management system was designed, which can collect the basic information of calves, calf weight, historical milk drinking information of calves, real-time milk drinking information of calves, and working status of milk drinking stations, and all kinds of data of the elements, realizing the front-end display and back-end storage of the data, and visualization of the data in the whole process of calf feeding. Based on the Logistic regression algorithm, a prediction model for the milk supply and milk replacer concentration of calves was established, the running time of the improved algorithm can be shortened to 0.3 s, and the efficiency of the algorithm can be increased by 12 times. The calf breeding test showed that the prediction model had good accuracy. The average actual milk drinking rate of calves in the experiment reached more than 95%. The intelligent and refined level of cattle management reduced feeding costs. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 22

Main heading: Feeding

Controlled terms: Data visualization? - ?Digital storage? - ?Efficiency? - ?Forecasting? - ?Information management? - ?Information systems? - ?Information use? - ?Logistic regression

Uncontrolled terms: Calf feeding? - ?Different ages? - ?Large-scales? - ?Logistic regression algorithms? - ?Logistics regressions? - ?Management efficiency? - ?Milk supply? - ?Prediction modelling? - ?Supply quantity? - ?Visual management

Classification code: 691.2 Materials Handling Methods? - ?722.1 Data Storage, Equipment and Techniques? - ?723.2 Data Processing and Image Processing? - ?723.5 Computer Applications? - ?903.2 Information Dissemination? - ?903.3 Information Retrieval and Use? - ?913.1 Production Engineering? - ?922.2 Mathematical Statistics

Numerical data indexing: Percentage 9.50E+01%, Time 3.00E-01s

DOI: 10.6041/j.issn.1000-1298.2022.S2.028

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

57. Design and Test of Control System for Intelligent Kitchen Waste Treatment Equipment

Accession number: 20231013687248

Title of translation:

Authors: Han, Yueqiang (1); Zhang, Rui (1); Lu, Chengyu (1); Wang, Guoye (1); Han, Xianghui (1); Xu, Dongxin (1)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 161-169

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the problems of insufficient resource utilization of kitchen waste, high pollution of waste treatment and high energy consumption and inconvenient operation of waste treatment equipment, an intelligent kitchen waste treatment equipment control system was designed to improve the automation level of kitchen waste treatment. The system was mainly composed of STM32 main control system, motor drive system, weight control system, temperature control system, auxiliary control system, purification system and storage system. The interface of intelligent serial port screen was designed based on USART HMI software. The intelligent serial port screen communicated with STM32 through TTL serial port, which could complete the working parameters setting of kitchen waste treatment and displayed the operation status information of the control system to realize the accurate control of kitchen waste treatment equipment. The experimental hardware platform was built, the temperature range of the system and the ratio of kitchen waste and high temperature aerobic microbial strains were used as experimental factors. The weight-loss ratio and power consumption of kitchen waste were used as experimental indexes. The experimental results showed that the temperature range of the system and the ratio of kitchen waste and high temperature aerobic microbial strains had very significant effect on kitchen waste treatment; when the temperature range of the control system was 85 ~95Tl, the ratio of kitchen waste and high temperature aerobic microbial strains was 15: 1, 30 kg kitchen waste and 2 kg bacteria were treated for 5 h, the weight-loss ratio was 90.38%, the average power consumption was 1.96 kW h, and the treatment effect of kitchen waste was remarkable. The system realized the harmless treatment of kitchen waste. The organic matter after kitchen waste treatment was converted into humus by aerobic composting technology, which was used for field fertilization or animal feed production to improve the utilization rate of waste resources. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 25

Main heading: Control systems

Controlled terms: Aerobic bacteria? - ?Electric power utilization? - ?Pollution control? - ?Soils? - ?Waste treatment

Uncontrolled terms: Design and tests? - ?High temperature aerobic? - ?Highest temperature? - ?Kitchen waste? - ?Microbial strain? - ?Serial port? - ?Single-chip? - ?STM32 single-chip microcomputer? - ?Temperature range? - ?Weight loss ratios

Classification code: 452.4 Industrial Wastes Treatment and Disposal? - ?461 Bioengineering and Biology? - ?483.1 Soils and Soil Mechanics? - ?706.1 Electric Power Systems? - ?731.1 Control Systems

Numerical data indexing: Mass 2.00E+00kg, Mass 3.00E+01kg, Percentage 9.038E+01%, Power 1.96E+03W, Time 1.80E+04s

DOI: 10.6041/j.issn.1000-1298.2022.S2.018

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

58. Identification Method of Fish Satiation Level Based on ResNet-CA

Accession number: 20231013693984

Title of translation: ResNet-CA

Authors: Sun, Longqing (1, 2); Wang, Xinlong (1, 2); Wang, Boning (1, 2); Wang, Jiayu (1, 2); Meng, Xinyu (1, 2)

Author affiliation: (1) College of Information and Electrical Engineering, China Agricultural University, Beijing; 100083, China; (2) National Digital Fisheries Innovation Center, Ministry of Agriculture and Rural Affairs, Beijing; 100083, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 219-225 and 277

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Feeding as a key part of the aquaculture process, the amount of bait fed directly affects the quality of aquatic products and the cost of aquaculture. However, the current feeding methods include manual feeding and machine feeding at regular intervals, which mostly rely on manual experience and are difficult to achieve accurate feeding. Different satiation levels of fish were identified based on the improved ResNet34, which was important for achieving accurate control of bait feeding in the future. A dataset containing five different satiation levels was created based on the feeding behaviors exhibited by fish at different satiation stages, and the images were pre-processed using data enhancement operations. Secondly, based on the original model ResNet34, the use of coordinate attention mechanism wasproposed to enable the model to focus on a large area in the process of feature extraction of images. And the depth-separable convolution was used instead of the traditional convolution to reduce the number of model parameters. To evaluate the effectiveness of the improvements, the performance of the improved model wasanalyzed on the fish satiation dataset and compared it with the original model ResNet34, AlexNet, VGG16, MobileNet - v2, GoogLeNet and other classical convolutional neural network architectures. The comprehensive experimental results showed that the model reduced the amount of parameters by 46. 7% and achieved an accuracy of 93.4% compared with the original model, which had a 3. 4 percentage points improvement compared with the original model, and the improved model also outperformed other convolutional neural networks in terms of accuracy, precision, recall, and Fl score. In summary, the model achieved a good balance between performance and number of participants, which provided the possibility for subsequent models to be deployed in real farming environments and guide farmers in improving and developing feeding strategies. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 23

Main heading: Feeding

Controlled terms: Aquaculture? - ?Convolution? - ?Convolutional neural networks? - ?Deep neural networks? - ?Farms? - ?Fish? - ?Image enhancement? - ?Network architecture

Uncontrolled terms: Attention mechanisms? - ?Convolutional neural network? - ?Deep separable convolution? - ?Feeding behavior? - ?Identification method? - ?Key parts? - ?Original model? - ?Performance? - ?Satiation level? - ?School of fish

Classification code: 461.4 Ergonomics and Human Factors Engineering? - ?691.2 Materials Handling Methods? - ?716.1 Information Theory and Signal Processing? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.3 Agricultural Methods

Numerical data indexing: Percentage 7.00E+00%, Percentage 9.34E+01%

DOI: 10.6041/j.issn.1000-1298.2022.S2.025

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

59. 3D Reconstruction Method for Fruit Tree Branches Based on Kinect v2 Sensor

Accession number: 20231013687176

Title of translation: Kinect v2

Authors: Ren, Dongyu (1); Li, Xiaojuan (1); Lin, Tao (2); Xiong, Mingming (1); Xu, Zhenhui (1); Cui, Gaojian (1)

Author affiliation: (1) School of Mechanical Engineering, Xinjiang University, Urumqi; 830017, China; (2) Institute of Cash Crops, Xinjiang Academy of Agricultural Sciences, Urumqi; 830091, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 197-203

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problems of low modeling accuracy, high cost and poor topology structure in the three-dimensional (3D) reconstruction of fruit trees, a 3D reconstruction method of fruit tree phenotype and skeleton extraction based on Kinect v2 sensor was proposed. Firstly, the Kinect v2 sensor was used to collect fruit tree point cloud data from different perspectives. Secondly, the characteristic point detection of scale invariant feature transformation was carried out on the plant point cloud, the eigenvector vector calculation was carried out by using the fast point feature histogram algorithm, the initial position of the point cloud was purified by the random sampling consistency method, and the improved iterative nearest point algorithm was used to finely register and stitch to form a complete point cloud after the initial transformation. Finally, the Delaunay triangulation of the point cloud data was used to fill the missing point cloud, the Dijkstra shortest path algorithm was used to obtain the minimum spanning tree, the skeleton was simplified by iteratively removing redundant components, the tree skeleton was estimated by the cylindrical fitting algorithm, and the tree skeleton was transformed into a closed convex polyhedron, and the 3D reconstruction of the branches of the fruit tree was realized. The experimental results showed that the average error of point cloud registration was 0.52 cm, and the average error of branch reconstruction was not more than 3.52%, and the reconstruction effect was good. The research results can provide data support for orchard assessment of crop status, intelligent pruning and other research. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 28

Main heading: Iterative methods

Controlled terms: Fruits? - ?Image reconstruction? - ?Musculoskeletal system? - ?Orchards? - ?Three dimensional computer graphics? - ?Trees (mathematics)

Uncontrolled terms: 3D reconstruction? - ?Average errors? - ?Fruit trees? - ?Kinect v2? - ?Modeling accuracy? - ?Point cloud data? - ?Point-clouds? - ?Reconstruction method? - ?Registration? - ?Tree branches

Classification code: 461.3 Biomechanics, Bionics and Biomimetics? - ?723.2 Data Processing and Image Processing? - ?723.5 Computer Applications? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory? - ?921.6 Numerical Methods

Numerical data indexing: Percentage 3.52E+00%, Size 5.20E-03m

DOI: 10.6041/j.issn.1000-1298.2022.S2.022

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

60. Prediction Model of Bulk Soil Electrical Conductivity Based on Near-infrared Spectral Information

Accession number: 20231013687255

Title of translation:

Authors: Wang, Dong (1, 2); Ynga, Wei (1, 2); Cao, Yongyan (2); Meng, Chao (2); Li, Minzan (1, 2)

Author affiliation: (1) Yantai Research Institute, China Agricultural University, Yantai; 264670, China; (2) Key Laboratory of Smart Agriculture Systems Integration, Ministry of Education, China Agricultural University, Beijing; 100083, China

Corresponding author: Ynga, Wei(cauyw@cau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 218-223

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The relationship between soil spectral reflectance and soil electrical conductivity was expressed indirectly by using the relationship between soil water content and NIR spectral soil reflectance and soil electrical conductivity with soil water content as an intermediate variable. There was an exponential relationship between soil water content and soil spectral reflectance, and a linear relationship between soil water content and soil electrical conductivity, and the relationship between soil spectral reflectance and soil electrical conductivity was obtained by eliminating the intermediate variable (soil water content). The exponential prediction model and the logarithmic prediction model were established and validated respectively by taking the soil moisture sensitive band 1 450 nm as the research object to study the prediction model of soil electrical conductivity. There were 72 samples in the experimental modeling set and 48 samples in the validation set, and the R2of the logarithmic prediction model of soil electrical conductivity reached 0. 80, and the R2of the exponential prediction model of soil conductivity reached 0. 85, both of which can satisfy the estimation of farmland conductivity, but the prediction effect of the logarithmic model was not satisfactory in the lower range of soil conductivity, so the prediction effect of the exponential prediction model of soil conductivity was better than the prediction effect of the logarithmic model. The results showed that the scheme of soil spectral reflectance prediction of soil conductivity was feasible, which provided an idea for the prediction of soil electrical conductivity by spectral information. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 23

Main heading: Forecasting

Controlled terms: Electric conductivity? - ?Infrared devices? - ?Near infrared spectroscopy? - ?Reflection? - ?Soil moisture? - ?Water content

Uncontrolled terms: Bulk soils? - ?Exponentials? - ?Logarithmic models? - ?Prediction modelling? - ?Soil conductivity? - ?Soil electrical conductivity? - ?Soil moisture content? - ?Soil spectral reflectance? - ?Soil water content? - ?Spectral information

Classification code: 483.1 Soils and Soil Mechanics? - ?701.1 Electricity: Basic Concepts and Phenomena

Numerical data indexing: Size 4.50E-07m

DOI: 10.6041/j.issn.1000-1298.2022.S1.023

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

61. Effects of Subsoiling Methods on Root Morphology and Flue-cured Tobacco Traits of Mountain Tobacco

Accession number: 20231013687089

Title of translation:

Authors: Zhu, Huibin (1); Zhao, Haoran (1); Zuo, Yukun (1); Bai, Lizhen (1); Ma, Shiao (1); Zhang, Xu (1)

Author affiliation: (1) Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming; 650500, China

Corresponding author: Bai, Lizhen(lzhbai@qq.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 60-68

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to discuss the influence of different subsoiling methods on root morphology and tobacco-curing characteristics of mountain tobacco, verify the actual effect of the new-type subsoiling shovel independently designed, and seek excellent measures for cultivating mountain tobacco, field tests were carried out by setting three treatments: improved subsoiling (NS), traditional subsoiling (TS) and no subsoiling (CK). The results showed that compared with traditional chisel-type subsoiling shovel, the soil disturbance coefficient was increased by 14.79 percentage points, the soil compactness was decreased by 53.95% and the change rate of soil bulk density was increased by 5.84% at 30cm underground after tillage. Compared with traditional subsoiling, the total root length, root surface area, root volume, plant height, stem circumference, leaf area index, maximum leaf length, maximum leaf width, underground dry matter weight, aboveground dry matter weight, yield and upper leaves of planted tobacco were increased by 33.80%, 30.41%, 45.67%, 18.36%, 10.72%, 16.53%, 4.02%, 2.15%, 28.26%, 18.28%, 6.43% and 4.11%, respectively at the early stage of maturitythe number of effective leaves increased by one leaf, the average price and output value was increased by 4.83% and 11.63%, respectively, while the above indexes were significantly improved compared with the control group without subsoiling operation. It was found that subsoiling can effectively improve the tillage structure of mountain tobacco fields in Yunnan Province, thus promoting the root growth of mountain tobacco, enabling the root to absorb more water and nutrients for the above-ground development, improving the dry matter weight of tobacco leaves and the economic performance. Independently designed type subsoiling spade and its supporting carrying machine had more remarkable effect on subsoiling operation in middle Yunnan Province. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 28

Main heading: Tobacco

Controlled terms: Landforms? - ?Morphology? - ?Plants (botany)? - ?Soil testing? - ?Soils? - ?Structure (composition)

Uncontrolled terms: Curing characteristics? - ?Dry matters? - ?Flue-cured tobacco? - ?Maximum leaf? - ?Mountain tobacco? - ?Root morphology? - ?Soil property? - ?Subsoiling treatment? - ?Tobacco trait? - ?Yunnan province

Classification code: 481.1 Geology? - ?483.1 Soils and Soil Mechanics? - ?821.4 Agricultural Products? - ?931.2 Physical Properties of Gases, Liquids and Solids? - ?951 Materials Science

Numerical data indexing: Percentage 1.072E+01%, Percentage 1.163E+01%, Percentage 1.653E+01%, Percentage 1.828E+01%, Percentage 1.836E+01%, Percentage 2.15E+00%, Percentage 2.826E+01%, Percentage 3.041E+01%, Percentage 3.38E+01%, Percentage 4.02E+00%, Percentage 4.11E+00%, Percentage 4.567E+01%, Percentage 4.83E+00%, Percentage 5.395E+01%, Percentage 5.84E+00%, Percentage 6.43E+00%, Size 3.00E-01m

DOI: 10.6041/j.issn.1000-1298.2022.S2.007

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

62. Design of Biomass Stove Based on Variable Pressure Jet Combustion Technology

Accession number: 20231013687242

Title of translation:

Authors: Yu, Lei (1)

Author affiliation: (1) Heilongjiang Academy of Agricultural Machinery Science, Harbin; 150081, China

Corresponding author: Yu, Lei(190122096@qq.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 293-298 and 323

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Biomass stoves are environmentally friendly stoves that provide heat through biomass eombustion, which have a long history and extensive foundation in China. It has the advantages of high efficiency, environmental protection, high thermal efficiency, low smoke and dust emission, etc. It is widely used in domestic hot water, building heating and industrial heating and other fields. In the combustion process, however, due to technical limitations, it is difficult to ensure the full combustion of biomass fuels, and problems such as low boiler thermal efficiency and environmental pollution have become constraints on the development of biomass stoves in China. To solve this problem, a biomass molding combustion stove was proposed based on variable pressure jet combustion technology. During the combustion process, the primary air and secondary air formed by the two air intake mechanisms of the stove were in the furnace body in the form of spin, integral rotation or superposition of the two, changing the air volume ratio and air intake position of the secondary air and the inflation angle. As a result, different air pressure jets were formed in the stove to strengthen the heat and mass transfer, ensure the burnout effect, and effectively control the generation and emission of nitrogen oxides during the combustion process. The fuel combustion test results showed that the combustion thermal efficiency of corn stover was 85. 97%, the bottom ash slagging rate was 3. 42%, and the biomass particles were fully burned; the SO2emission was 18. 34 mg/m3, the NOxemission measurement was 91. 45 mg/m3, and the CO volume fraction was 0. 092% . The pollutant discharge met the national standard. The boiler had good stability and met the design requirements. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 23

Main heading: Nitrogen oxides

Controlled terms: Air intakes? - ?Ash handling? - ?Ashes? - ?Biomass? - ?Boilers? - ?Combustion? - ?Efficiency? - ?Mass transfer? - ?Smoke

Uncontrolled terms: Biomass stove? - ?Combustion pro-cess? - ?Combustion technology? - ?Dust emission? - ?High thermal? - ?Higher efficiency? - ?Secondary air? - ?Smoke Emission? - ?Thermal-efficiency? - ?Variable pressure jet combustion

Classification code: 452.3 Industrial Wastes? - ?614 Steam Power Plants? - ?631.1 Fluid Flow, General? - ?641.3 Mass Transfer? - ?691.1 Materials Handling Equipment? - ?804.2 Inorganic Compounds? - ?913.1 Production Engineering

Numerical data indexing: Mass 3.40E-05kg, Mass 4.50E-05kg, Percentage 4.20E+01%, Percentage 9.20E+01%, Percentage 9.70E+01%

DOI: 10.6041/j.issn.1000-1298.2022.S1.032

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

63. Design and Experiment of Active Rollover Control System Using Control Moment Gyroscope for Agricultural Wheeled Tractor

Accession number: 20231013692744

Title of translation:

Authors: Wang, Longlong (1); Lan, Hong (1); Zhou, Xu (1); Chen, Du (1); He, Zhizhu (1); Li, Zhen (1)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China

Corresponding author: Li, Zhen(zhenli@cau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 320-327

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: An active rollover stabilization control system was designed based on a single-frame control moment gyroscope for tractors susceptible to limit state rollover instability caused by complex road conditions in slope driving. The Euler - Lagrange equations were used to construct the non-linear sway dynamics equations for the coupled system of the whole machine and the control moment gyro using the single-side tire off the ground as the main object of study. Considering the different degrees of rollover hazards under random road conditions, a state feedback control law was derived based on the backstepping design method. To ensure the smooth control process, the control law was used to adjust angular speed and angular position of the gyroscope rotor. Through the precise movement of the gyroscope rotor, the active rollover control moment of agricultural wheeled tractor was output to change the rollover trend. Finally, scaled model tests of limit state rollover instability control with different obstacles and speeds were also carried out. The results showed that compared with the uncontrolled group, the use of the moment gyroscope control system can significantly reduce the ultimate roll angle of the tractor and can still effectively control the rollback when the roll angle was greater than the static critical roll angle of 9. 58% . The proposed control strategy can adapt to the ultimate rollover conditions of different levels of risk and broaden the range of safe driving slope of the tractor. The active rollover control system can provide a theoretical basis and technical support for improving tractor slope adaptability. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 28

Main heading: Backstepping

Controlled terms: Closed loop systems? - ?Control theory? - ?Equations of motion? - ?Gyroscopes? - ?Poles? - ?Roads and streets? - ?State feedback? - ?Tractors (agricultural)? - ?Tractors (truck)

Uncontrolled terms: Active safety? - ?Anti-rollover control? - ?Control moment gyroscope? - ?Gyroscope rotor? - ?Limit state? - ?Road condition? - ?Roll angle? - ?Rollover control? - ?Tractor? - ?Wheeled tractor

Classification code: 406.2 Roads and Streets? - ?408.2 Structural Members and Shapes? - ?663.1 Heavy Duty Motor Vehicles? - ?731.1 Control Systems? - ?821.1 Agricultural Machinery and Equipment? - ?921 Mathematics? - ?921.2 Calculus? - ?961 Systems Science

Numerical data indexing: Percentage 5.80E+01%

DOI: 10.6041/j.issn.1000-1298.2022.S2.037

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

64. Cow Dynamic Weighing Algorithm Based on VMD - LSTM

Accession number: 20231013691040

Title of translation: VMD-LSTM

Authors: He, Zhijiang (1, 2); Li, Qian (1, 2); Wang, Yanchao (1, 2); Liu, Gang (1, 2)

Author affiliation: (1) Key Laboratory of Smart Agriculture Systems, Ministry of Education, China Agricultural University, Beijing; 100083, China; (2) Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing; 100083, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 234-240

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The dynamic weighing signal of dairy cows contains many signals in different frequency domains, including the weight signal of dairy cows, the inertial component signal and various noise signals. In the previous studies, the information utilization rate of dynamic weighing signal was low, and the deep information of weighing signal could not be fully extracted. To solve this problem, a method based on variational mode decomposition (VMD) and long short-term memory network (LSTM) dynamic weighing algorithm was proposed to improve the accuracy of weight prediction. Firstly, the threshold filtering method was used to obtain the effective signal from the collected dairy cow dynamic weighing signal. Secondly, in order to extract the deep information contained in the dynamic weighing signal of dairy cows, the VMD algorithm was used to decompose the pre-processed effective signal into five intrinsic mode functions (IMF). Finally, each IMF component was combined with the effective signal as feature, which was input into the LSTM neural network as features for training, and then the weight of cows was output. The prediction results of models with different characteristics were compared, as a result, the model with the minimum error was selected as the cow body weight prediction model. The experimental results showed that the proposed dynamic weighing algorithm can effectively extract the deep information contained in the dynamic weighing signal of dairy cows. The average relative error of weight prediction was 0.81 %, and the root mean square error was 6.21 kg. Compared with EMD algorithm and GRU algorithm commonly used in the field of dynamic weighing, the error of the proposed algorithm was smaller. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 19

Main heading: Variational mode decomposition

Controlled terms: Brain? - ?Errors? - ?Forecasting? - ?Intrinsic mode functions? - ?Long short-term memory? - ?Mean square error? - ?Weighing

Uncontrolled terms: Component signals? - ?Dairy cattles? - ?Dairy cow? - ?Different frequency? - ?Dynamic weighing? - ?Dynamic weighing algorithm? - ?Frequency domains? - ?Intrinsic Mode functions? - ?Long short-term memory network? - ?Memory network

Classification code: 461.1 Biomedical Engineering? - ?716.1 Information Theory and Signal Processing? - ?922.2 Mathematical Statistics? - ?943.3 Special Purpose Instruments

Numerical data indexing: Mass 6.21E+00kg, Percentage 8.10E-01%

DOI: 10.6041/j.issn.1000-1298.2022.S2.027

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

65. Design and Optimization Test of Conveying Device for Apple Harvesting Platform

Accession number: 20231013685784

Title of translation:

Authors: Wang, Jinxing (1, 2); Chen, Zixu (1); Fan, Guoqiang (1, 3); Yang, Huawei (1, 4); Sun, Jingwei (1); Lu, Mingyang (1)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Shandong Agricultural University, Taian; 271018, China; (2) Shandong Provincial Engineering Laboratory of Agricultural Equipment Intelligence, Taian; 271018, China; (3) Shandong Provincial Key Laboratory of Horticultural Machinery and Equipment, Taian; 271018, China; (4) Shandong Academy of Agricultural Machinery Science, Ji’nan; 250010, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 176-184

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problems of low efficiency and high damage rate of artificial harvesting in domestic apple orchards, an apple harvesting platform conveying device was designed to realize the automatic conveying of apples. Firstly, through the kinematic analysis of apple conveying process, the main factors affecting apple mechanical damage and the test value range of each factor were determined. Secondly, according to the Box - Behnken test design method, taking the conveying speed, the dip angle of the fruit tray and the shape of the fruit tray as the test factors and the damage rate as the test index, the operating parameters of the conveying device of the apple harvesting platform were tested and studied, and the regression model between the test index and the test factors was established. Finally, the influence law of each factor on the test index was analyzed, and the test factors were comprehensively optimized according to the regression model. The results showed that when the conveying speed was 0.2 m/s, the dip angle of the fruit tray was 30°, and the shape of the fruit tray was a circular platform, the apple damage rate was 3. 69%, which was significantly lower than the mechanical damage of the apple conveying device without parameter optimization, and the conveying effect was the best. The results could provide a reference for the structural optimization of apple orchard harvesting platform and the control of transportation parameters. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 25

Main heading: Harvesting

Controlled terms: Conveying? - ?Fruits? - ?Harvesters? - ?Orchards? - ?Regression analysis? - ?Structural optimization

Uncontrolled terms: Apple? - ?Apple orchards? - ?Damage rate? - ?Dip angle? - ?Harvesting platform? - ?Mechanical damages? - ?Operation parameters? - ?Optimisations? - ?Optimization test? - ?Regression modelling

Classification code: 692.1 Conveyors? - ?821.1 Agricultural Machinery and Equipment? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?921.5 Optimization Techniques? - ?922.2 Mathematical Statistics

Numerical data indexing: Percentage 6.90E+01%, Velocity 2.00E-01m/s

DOI: 10.6041/j.issn.1000-1298.2022.S1.018

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

66. Design of Portable Crop Chlorophyll Detector with Ambient Light Correction

Accession number: 20231013687187

Title of translation:

Authors: Tang, Weijie (1); Wang, Nan (2); Liu, Guohui (1); Zhao, Ruomei (1); Li, Minzan (1, 3); Sun, Hong (1)

Author affiliation: (1) Key Laboratory of Smart Agriculture Systems Integration, Ministry of Education, China Agricultural University, Beijing; 100083, China; (2) Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing; 100083, China; (3) Yantai Institute of China Agricultural University, Yantai; 264670, China

Corresponding author: Sun, Hong(sunhong@eau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 249-256

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Rapid acquisition of crop growth status information is essential for timely guidance of agricultural production. Based on the response mechanism of crop physiological and biochemical spectroscopy, a portable crop chlorophyll detection device based on ambient light correction was designed. The device measured reflectance spectral and ambient light spectral data with 20 nm bandwidth centered at 610 nm, 680 nm, 730 nm, 760 nm, 810 nm, and 860 nm to calculate vegetation index and predict plant chlorophyll content. The features of the device were the supplemental light when the ambient light intensity was poor and the correction of the ambient light intensity under the supplemental light condition. To evaluate the sensor performance, the sensor was tested and calibrated. Experiments showed that the maximum difference in GPS positioning was 6. 2 m in latitude and 4. 9 m in longitude; the correlation between the light intensity response of the six bands of the spectral sensors and the measured values of the illuminance meter exceeded 0. 99 ; the matching coefficients of the two spectral sensors were calibrated to 0. 743 and 1. 035 in the 610 nm and 860 nm bands, respectively. A fitting model between the supplemental light intensity and the measurement distance in the 610 nm and 860 nm bands was established for light environment correction; chlorophyll gradient experiments were conducted using nonwoven fabrics, and a mathematical model of NDVI vegetation index and plant chlorophyll content was established, with a model R2of 0. 685 under poor light environment conditions without supplemental light and a mode 1 R2of 0. 965 under supplemental light and with correction. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 24

Main heading: Chlorophyll

Controlled terms: Crops? - ?Physiological models? - ?Vegetation

Uncontrolled terms: Ambient light? - ?Ambient light correction? - ?Chlorophyll contents? - ?Crop growth? - ?Light environment? - ?Light intensity? - ?Multi-spectral? - ?Rapid acquisition? - ?Spectral sensors? - ?Vegetation index

Classification code: 804.1 Organic Compounds? - ?821.4 Agricultural Products

Numerical data indexing: Size 2.00E+00m, Size 2.00E-08m, Size 6.10E-07m, Size 6.80E-07m, Size 7.30E-07m, Size 7.60E-07m, Size 8.10E-07m, Size 8.60E-07m, Size 8.89E-01m, Size 9.00E+00m

DOI: 10.6041/j.issn.1000-1298.2022.S1.027

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

67. Cotton LAI Estimation Based on Hyperspectral and Successive Projection Algorithm

Accession number: 20231013687267

Title of translation:

Authors: Zhang, Nannan (1, 2); Zhang, Xiao (2); Wang, Chengkun (2); Li, Li (3); Bai, Tiecheng (2)

Author affiliation: (1) Key Laboratory of Smart Agriculture System Integration, Ministry of Education, China Agricultural University, Beijing; 100083, China; (2) College of Information Engineering, Tarim University, Alar; 843300, China; (3) Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing; 100083, China

Corresponding author: Li, Li(lily@cau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 257-262

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to realize rapid, non-destructive and real-time monitoring of the leaf area index of cotton plants under different irrigation treatments, the canopy reflectance of cotton plants in four growth periods was obtained with the help of hyperspectral remote sensing technology, and the leaf area index of each cotton plant was obtained at the same time. The spectral preprocessing methods such as first-order derivation, second-order derivation, standard normal variate, multiple scattering correction and wavelet analysis were used to extract characteristic bands through continuous projection algorithm, PLS was used to establish hyperspectral estimation models for four growth periods and each growth period. Comparing the modeling accuracy of six pretreatment in four growth stages and each growth stage, it was shown that the wavelet decomposition scales of four growth stages, bud stage, flower stage and flower boll stage were 4, 2, 8 and 2, respectively, and the models were CWT - SPA - PLS, CWT - FD - SPA - PLS, CWT -SPA - PLS and CWT - FD - SPA - PLS respectively, which can achieve better accuracy; after SD treatment, better results were obtained in boll stage, R and RPD were 0. 973 and 5. 3295 respectively, which were better than other pretreatment results. The experimental results showed that the spectral information obtained by the preprocessing algorithm, especially the wavelet analysis method, can effectively estimate the leaf area index of cotton in four growth stages and each growth stage. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 21

Main heading: Cotton

Controlled terms: Finite difference method? - ?Remote sensing? - ?Wavelet analysis? - ?Wavelet decomposition

Uncontrolled terms: Cotton plants? - ?Growth period? - ?Growth stages? - ?HyperSpectral? - ?Hyperspectral remote sensing? - ?Inversion models? - ?Leaf Area Index? - ?Pre-treatments? - ?Successive projections algorithm? - ?Wavelet-analysis

Classification code: 821.4 Agricultural Products? - ?921 Mathematics? - ?921.3 Mathematical Transformations? - ?921.6 Numerical Methods

DOI: 10.6041/j.issn.1000-1298.2022.S1.028

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

68. Design and Experiment of Self-propelled Fecal Water Injection Fertilizer Applicator

Accession number: 20231013687194

Title of translation:

Authors: Yuan, Xingmao (1, 2); Wu, Haiyan (1); Li, Xiaohe (1); Jiao, Haitao (1); Hu, Dong (2, 3); Zhang, Junjie (1)

Author affiliation: (1) Hebei Agricultural Mechanization Research Institute Co., Ltd., Shijiazhuang; 050051, China; (2) Farmland Environmental Restoration of Hebei Engineering Research Center, Shijiazhuang; 050051, China; (3) Institute of Agro-resources and Environment, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang; 050051, China

Corresponding author: Zhang, Junjie(564810768@qq.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 84-90

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to overcome the shortcomings of farms, such as high fecal water yield, small and scattered supporting arable land area, lack of small fecal water injection fertilization machine, low utilization rate of fecal water, a kind of equipment of self-propelled fecal water injection fertilizer applicator was developed. The capacity of the machine was 6 m3, mainly composed of chassis, fertilizer tank, suction and discharge system and trenching fertilization syringe and other components. The complete machine structure and operational principle of the equipment were introduced. The research focused on the key components of the fertilizer applicator, such as tank structure, suction and discharge pipe system, control and monitoring system, fecal water divider and power extractor, which were designed and calculated. When the machine worked, it can realize the functions of fecal water multichannel and multidirectional automatic suction and discharge, constant speed cruise, liquid circulating flow in the tank, furrow fertilization, injection cut-off and anti-blocking monitoring and alarm. According to the design requirements, the fertilizer applicator was trial produced, and the field experiment was carried out with pig farm manure as raw material. Experiment and test results showed that when the speed of the fertilizer applicator was 4 km/h, the injection depth was 92.8 mm, the stability coefficient of injection depth was 94.6%, and the consistency variation coefficient of fertilizer application was 5.3%. All indexes were consistent with the design value and met the agronomic requirements. The research result provided reference for the research and development of small self-propelled fecal water injection fertilization equipment. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 25

Main heading: Fertilizers

Controlled terms: Applicators? - ?Compressive strength? - ?Farms? - ?Mammals? - ?Manures? - ?Tanks (containers)

Uncontrolled terms: Arable land? - ?Fecal water? - ?Fertilisation? - ?Fertilizer applicator? - ?Injection? - ?Land areas? - ?Self-propelled? - ?Tank system? - ?Utilization rates? - ?Water yield

Classification code: 601 Mechanical Design? - ?619.2 Tanks? - ?804 Chemical Products Generally? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.2 Agricultural Chemicals? - ?821.5 Agricultural Wastes

Numerical data indexing: Percentage 5.30E+00%, Percentage 9.46E+01%, Size 4.00E+03m, Size 6.00E+00m, Size 9.28E-02m

DOI: 10.6041/j.issn.1000-1298.2022.S2.010

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

69. Watermelon Sugar Content Detection and Grading System Based on Acoustic Characteristics

Accession number: 20231013687157

Title of translation:

Authors: Zuo, Jiewen (1, 2); Peng, Yankun (1, 2); Li, Yongyu (1, 2); Zou, Wenlong (1, 2); Zhao, Xinlong (1, 2); Sun, Chen (1, 2)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) National R&D Center for Agro-processing Equipment, Beijing; 100083, China

Corresponding author: Peng, Yankun(ypeng@cau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 316-323

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Sugar content is one of the important indicators for watermelon grading, for the drawbacks of traditional watermelon detection methods, the feasibility of acoustic characteristics combined with machine learning for non-destructive detection and grading of watermelon was investigated. The acoustic detection system of watermelon was designed and the time domain signals of different batches of samples were collected. After the time domain signal was normalized, the frequency domain signal was obtained by fast Fourier transform and pre-processed by detrending. The principal components of the frequency domain signal were extracted by using principal component analysis, the cumulative contribution rate of the first three principal components was 95. 32%, the samples with different levels were differentiable using the first and second principal components. Watermelon all-variable grading models were developed by using four different machine learning algorithms, and the prediction set classification accuracies all reached over 66% . Feature variables were extracted by using stability competitive adapative reweighted sampling algorithm, which reduced the number of variables by about 84% . The performance of the classification models developed using the extracted feature variables were all improved, with the support vector machine model achieved the highest prediction set accuracy (95. 56% ), Fl score (96% ) and Kappa coefficient (93% ) . The results indicated that acoustic characterization combined with machine learning was feasible for non-destructive detection and grading of watermelons. The research result can provide a feasible technical solution for non-destructive detection and grading of watermelon, and provide a reference for non-destructive detection and grading of other similar fruits and vegetables. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 24

Main heading: Grading

Controlled terms: Fast Fourier transforms? - ?Frequency domain analysis? - ?Learning algorithms? - ?Learning systems? - ?Principal component analysis? - ?Support vector machines? - ?Time domain analysis

Uncontrolled terms: Acoustic characteristic? - ?Feature variable? - ?Frequency-domain signal? - ?Machine-learning? - ?Non-destructive grading? - ?Nondestructive detection? - ?Principal Components? - ?Sugar content? - ?Time-domain signal? - ?Watermelon

Classification code: 723 Computer Software, Data Handling and Applications? - ?723.4.2 Machine Learning? - ?921 Mathematics? - ?921.3 Mathematical Transformations? - ?922.2 Mathematical Statistics

Numerical data indexing: Percentage 3.20E+01%, Percentage 5.60E+01%, Percentage 6.60E+01%, Percentage 8.40E+01%, Percentage 9.30E+01%, Percentage 9.60E+01%

DOI: 10.6041/j.issn.1000-1298.2022.S1.035

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

70. Estimating Model of Row Spacing Based on Spatial Track of Agricultural Machinery and Corresponding Experiment in Headland Pattern

Accession number: 20231013686079

Title of translation:

Authors: Wang, Pei (1, 2); Meng, Zhijun (1); An, Xiaofei (1); Zhang, Anqi (1); Li, Liwei (1); Mei, Hebo (1)

Author affiliation: (1) Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing; 100097, China; (2) National Research Center of Information Technology for Agriculture, Beijing; 100097, China

Corresponding author: An, Xiaofei(anxf@nercita.org.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 44-47 and 68

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: According to agricultural machinery operation in headland pattern, through installing intelligent monitoring terminal in the agricultural machinery, data of spatial track of agricultural machinery was collected, the distribution frequency of azimuth angle was analyzed, the direction of agricultural machinery operation was calculated, the agricultural machinery operation lines were extracted, and model of row spacing of agricultural machinery operation was built. Furthermore, in order to verify the algorithm of row spacing of agricultural machinery operation, field experiments were conducted on June 25, 2021 at the National Precision Agriculture Demonstration Research Base in Beijing, China. The tractor installed automatic navigation system was selected, different row spacings were set by navigation system, such as 3.0 m,4. 0 m and 5.0 m. According to the set value of row spacing, the agricultural machinery operation experiment was carried out three times in headland pattern. The results showed that the average error was 3. 07% between the set value of row spacing and model calculated value. The RMSE of validation was 0. 14 m. Overall, conclusion analysis of an example showed that its results were coincided with the active situation. Row spacing was an important parameter of farm machinery operation supervision, combined with the width of operation, it can provide data support to quality evaluation of agricultural machinery operation, such as overlapping and omission and so on. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 19

Main heading: Quality control

Controlled terms: Agricultural machinery? - ?Agriculture? - ?Navigation systems

Uncontrolled terms: Automatic navigation systems? - ?Average errors? - ?Azimuth angles? - ?Field experiment? - ?Headland pattern? - ?Intelligent monitoring? - ?Precision Agriculture? - ?Research base? - ?Row spacing? - ?Spatial track

Classification code: 821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.1 Agricultural Machinery and Equipment? - ?913.3 Quality Assurance and Control

Numerical data indexing: Percentage 7.00E+00%, Size 0.00E00m, Size 1.40E+01m, Size 3.00E+00m, Size 5.00E+00m

DOI: 10.6041/j.issn.1000-1298.2022.S1.005

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

71. Research Progress on Application of Methane Emission Monitoring Technology in Ruminants

Accession number: 20231013687222

Title of translation:

Authors: Ye, Yan (1); Zhu, Tianyu (1); Wu, Zequan (1); Cai, Xiaohua (1)

Author affiliation: (1) Heilongjiang Academy of Agricultural Machinery Engineering Science, Harbin; 150081, China

Corresponding author: Cai, Xiaohua(cxh_0206@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue date: 2022

Publication year: 2022

Pages: 277-292

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Ruminants contribute to global warming by releasing methane gas into the atmosphere. Methane, the second largest greenhouse gas in the world, has a greenhouse effect of 25 times of that of CO2. The accounting methods and monitoring technologies of ruminant methane emissions at home and from the overseas are developing in the direction of comprehensiveness, intelligence and precise management and control. In order to monitor the methane emissions of ruminants and provide a reference for the accounting of methane emission reduction in the livestock and poultry breeding industry, it has become a hot research topic for relevant scholars to find suitable accounting and monitoring methods for methane emissions from ruminants. The sources of ruminant greenhouse gas methane emissions, accounting methods, and the application status of monitoring technologies were mainly reviewed. Referring to relevant domestic and foreign literatures on methane emissions from livestock and poultry breeding, the advantages and disadvantages of the methods of Organization for Economic Co-operation and Development (OECD), United Nations Intergovernmental Panel on Climate Change (IPCC) coefficient method, provincial greenhouse gas inventory compilation guidelines and life cycle assessment ( LCA) were compared. The research progress of ruminant methane emission monitoring technology application of seven methods, including respiratory mask and breathing head box monitoring method, infrared spectroscopy monitoring method, and respiratory metabolic chamber monitoring method, was compared and analyzed, in order to promote the domestic ruminant greenhouse gas methane monitoring technology. The research result can provide reference for development and emission reduction work. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 138

Main heading: Methane

Controlled terms: Agriculture? - ?Gas emissions? - ?Global warming? - ?Greenhouse effect? - ?Greenhouse gases? - ?Infrared spectroscopy? - ?International cooperation? - ?Life cycle? - ?Mammals

Uncontrolled terms: Accounting methods? - ?Emissions monitoring? - ?Greenhouses gas? - ?Management and controls? - ?Methane emissions? - ?Methane gas? - ?Monitoring methods? - ?Monitoring technologies? - ?Ruminant? - ?Ruminant methane

Classification code: 443.1 Atmospheric Properties? - ?451 Air Pollution? - ?451.1 Air Pollution Sources? - ?804.1 Organic Compounds? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control

DOI: 10.6041/j.issn.1000-1298.2022.S1.031

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2023 Elsevier Inc.

72. Optimization Design of Jet Outlet Structure in Airflow Distribution Chamber of Residual Film Barrier Device

Accession number: 20231013687245

Title of translation:

Authors: Feng, Xuefeng (1); Hu, Rong (1); Wang, Yingjun (1); Hao, Beibei (1); Yang, Yu (1)

Author affiliation: (1) College of Mechanical and Electronic Engineerings, Shihezi University, Shihezi; 832003, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao