2022年第2期

2022年第2期

2022年第2期共收录48篇

1. Effects of Pore Structure and Water-Salt Movement for Saline Soil under Subsurface Organic Amendment

Accession number: 20221111788545

Title of translation:

Authors: Zhang, Hongyuan (1); Pang, Huancheng (1); Song, Jiashen (1); Wang, Guoli (1); Chang, Fangdi (1); Li, Yuyi (1)

Author affiliation: (1) Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing; 100081, China

Corresponding author: Li, Yuyi(liyuyi@caas.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 355-364

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Plastic film mulching is one of the widely adopted agronomic measures in the northwest of China, and subsurface (10~30 cm) organic amendment is an important soil improvement and fertilization technique to quickly realize the efficient use of salinized farmland. However, it is still not clear of the effects of combinations of plastic film mulching and subsurface organic amendment on the soil pore structure and water-salt movement. The field experiment with three treatments was conducted: with (PM) and without (CK) plastic film mulching yearly, as well as the combination of subsurface organic amendment once with plastic film mulching yearly (OMP), in a typical saline soil in the Hetao Irrigation District of Inner Mongolia. Pore structures of subsurface (15~21 cm) and deep (35~41 cm) soil layers were measured by X-ray computed tomography and image processing, water and salt contents within soil profiles were measured in three years after the applications simultaneously, and then the effects of soil pore structure on water-salt movement were analyzed. The results showed that there was no significant difference (P>0.05) in macroporosity (greater than 30 ¦Ìm) between PM and CK in subsurface soil layer. However, the macroporosity in deep soil layer of PM was decreased by 0.48 percentage points than that of CK (P ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 37

Main heading: Computerized tomography

Controlled terms: Fertilizers? - ?Irrigation? - ?Plastic films? - ?Pore size? - ?Pore structure? - ?Saline water? - ?Soils

Uncontrolled terms: Micro CT? - ?Organic amendments? - ?Organic fertilizers? - ?Plastic film mulching? - ?Pores structure? - ?Saline soil? - ?Soil pore structure? - ?Soil pores? - ?Water and salt distribution? - ?Water and salts

Classification code: 444 Water Resources? - ?483.1 Soils and Soil Mechanics? - ?723.5 Computer Applications? - ?804 Chemical Products Generally? - ?817.1 Polymer Products? - ?821.2 Agricultural Chemicals? - ?821.3 Agricultural Methods? - ?931.2 Physical Properties of Gases, Liquids and Solids? - ?951 Materials Science

Numerical data indexing: Percentage 1.202E+01%, Percentage 1.321E+01%, Percentage 1.622E+01%, Percentage 3.577E+01%, Percentage 4.069E+01%, Percentage 6.33E+00%, Size 0.00E00m to 4.00E-01m, Size 1.00E-01m to 3.00E-01m, Size 1.50E-01m to 2.10E-01m, Size 3.00E-05m, Size 3.50E-01m to 4.10E-01m, Size 5.00E-04m

DOI: 10.6041/j.issn.1000-1298.2022.02.038

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

2. Influence of Double-layer Flow Passage Structure after Impeller on External Characteristics of Axial-flow Pump

Accession number: 20221111788770

Title of translation:

Authors: Zhou, Yongsheng (1); Chen, Bin (2); Zhang, Desheng (3); Zhang, Hua (4); Yang, Chen (1)

Author affiliation: (1) School of Mechanical Engineering, Hefei University of Technology, Hefei; 230009, China; (2) School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing; 210044, China; (3) Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang; 212013, China; (4) College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou; 225009, China

Corresponding author: Chen, Bin(chenbin21cn@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 149-157 and 176

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The efficiency of axial-flow pump decreases rapidly on both sides of the optimal flow condition, there is a saddle pattern unstable flow range at low flow side. It is of practical significance to study the internal flow field and external characteristics of axial-flow pump under full flow range, and put forward improvement methods to broaden the workable flow range. The relative flow angles at different radial positions varied along the impeller trailing edge. When the flow decreased, the flow surface component of absolute velocity at different radius decreased at the same step, but the circumferential component of absolute velocity varied greatly according to the relative flow angle of their respective velocity triangle, resulting in the difference of head performance at different radii, the flow deflected towards the outer edge of the passage, and a backflow and vortex area at hub side after impeller was formed. This axial-flow model featured a built-in motor inside the flow passage, so the flow out of the guide vane was a diffusion flow. When the flow separation conditions were met, the boundary layer separation would occur on the inner wall of the pipe. The vortex would develop from the boundary layer to affect the movement of the mainstream. Generally, the methods to control flow separation included: controlling the deceleration mode of the mainstream, eliminating the boundary layer by bypass the boundary flow or injection a flow, turning the laminar boundary layer into a turbulent boundary layer, and separating the flow passage and so on. For this model, the approach of adding a separator to form the double-layer flow passage can deal both the difference of the circumferential component of absolute velocity at different radii after impeller and reduce the downstream flow separation. The geometry of this structure was characterized by the addition of an inner conical tube at hub side. The tube started closely from the impeller trailing edge and extended into the guide vane. The ratio of the distance between the tube wall and the guide vane hub to the guide vane channel width was denoted as geometric variables ¦Ë, the effects of the different ¦Ë values on the external characteristics and internal flow field of the axial flow pump were studied. The results showed that the double-layer flow passage after the impeller can increase the head value when running inside the unstable flow range, reduce the positive slope value of the flow-head curve, and expand the safe operation flow range. When the flow was greater than the design flow, the flow separation after the guide vane was reduced and the head value was significantly increased. By comparing and analyzing the simulation results under three ¦Ë values at 1/3, 1/4 and 1/5 respectively, it was found that the head improving effect was the best when ¦Ë was 1/3, and the difference between the three ¦Ë cases was less than 4%. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 26

Main heading: Flow separation

Controlled terms: Axial flow? - ?Boundary layer flow? - ?Flow fields? - ?Impellers? - ?Laminar boundary layer? - ?Pumps? - ?Turbulent flow? - ?Velocity? - ?Vortex flow? - ?Walls (structural partitions)

Uncontrolled terms: Absolute velocities? - ?Axial flow pump? - ?Double layers? - ?Double-layer flow passage? - ?External characteristic? - ?Flow passage? - ?Flow ranges? - ?Guide-vane? - ?Layer flow? - ?Unstable flows

Classification code: 408.2 Structural Members and Shapes? - ?601.2 Machine Components? - ?618.2 Pumps? - ?631 Fluid Flow? - ?631.1 Fluid Flow, General? - ?651.1 Aerodynamics, General

Numerical data indexing: Percentage 4.00E+00%

DOI: 10.6041/j.issn.1000-1298.2022.02.015

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

3. Analysis on Spatial-temporal Changes of Cultivated Land Productivity in Jilin Province from 2000 to 2019 Based on EVI Time Series

Accession number: 20221111788738

Title of translation: EVI2000-2019

Authors: Zhang, Chao (1, 2); Chen, Wanling (1); Ma, Jiani (1); Yun, Wenju (2); Gao, Lulu (1); Wang, Huan (1)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 158-166

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The spatiotemporal change characteristics of cultivated land productivity (CLP) are essential to ensure regional food security and promote the sustainable use of cultivated land resources. Jilin Province is an important major grain production area and commodity grain production base in China. If the cultivated land productivity level of Jilin Province over the past 20 years can be both quickly and fully reflected, it would be helpful to discover the potential of increasing production of this area. Based on the hypothesis that the EVImax was a proxy of cultivated land productivity, the moderate resolution imaging spectroradiometer (MODIS) data with 250 m spatial resolution and 16 d temporal resolution in Google Earth Engine (GEE) platform was used to calculate CLP in Jilin Province. The coefficient of variation method was used to study the stability of cultivated land productivity. The level of CLP was explored by using the EVImax mean from 2000 to 2019, and the changing trend and amplitude of CLP was analyzed in study period by using both Theil-Sen median trend analysis and the Mann-Kendall (MK) test. The result of the trend and stability were integrated to acquire the level of CLP. Using time series remote sensing data to monitor regional crop growth and yield levels can objectively assess the productivity of cultivated land, and provide technical support for farmland construction and improvement of cultivated land quality. The results showed that the overall change amplitude was dominated by a slightly increasing trend. In cultivated land concentrated area, the change trend of productivity was better than that of broken cultivated land area in the east. The area with improvement of CLP accounted for 95.66%, mainly distributed in the central and northwestern of Jilin. The area with degradation of CLP accounted for 4.34%, mainly distributed in the southeast of Jilin or the surrounding of cities. The CLP level was generally high in the southeast and low in the northwest in cultivated land in Jilin, China. The area with the lowest productivity was located in the northwest of Jilin. The low-value areas of CLP were located in low-lying areas around towns and in low-lying areas where saline-alkali marshes were distributed in the northwest. High-value areas of CLP were concentrated in contiguous areas of farmland near rivers. In terms of the genesis of different landform types, volcanic lava landforms had the highest productivity of cultivated land, followed with flowing water landforms, wind-formed landforms and lacustrine landforms. The stability of CLP showed a trend of higher in southeast and lower in northwest. The productivity stability of paddy field was better than that of dryland and irrigated land. Therefore, the results indicated that time series remote sensing data can be used to objectively monitor the CLP. Different strategies of cultivated land protection and productivity promotion should be implemented in Jilin Province, such as stabilizing the eastern grain-producing areas, increasing the central grain production core area, and focusing on the western grain production reserve areas. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 35

Main heading: Land use

Controlled terms: Engines? - ?Farms? - ?Food supply? - ?Grain (agricultural product)? - ?Productivity? - ?Radiometers? - ?Remote sensing? - ?Satellite imagery? - ?Time series analysis

Uncontrolled terms: Cultivated land productivity? - ?Cultivated lands? - ?Enhanced vegetation index? - ?Google earth engine? - ?Google earths? - ?Grain production? - ?Jilin Province? - ?Land productivities? - ?Moderate-resolution imaging spectroradiometers? - ?Time-series analysis

Classification code: 403 Urban and Regional Planning and Development? - ?655.2 Satellites? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.4 Agricultural Products? - ?822.3 Food Products? - ?922.2 Mathematical Statistics? - ?944.7 Radiation Measuring Instruments

Numerical data indexing: Age 2.00E+01yr, Percentage 4.34E+00%, Percentage 9.566E+01%, Size 2.50E+02m

DOI: 10.6041/j.issn.1000-1298.2022.02.016

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

4. Numerical Simulation Analysis of Flow Field of Y-screen Filter under Different Working Conditions

Accession number: 20221111788731

Title of translation: Y

Authors: Yu, Liming (1); Liu, Kaishuo (1); Han, Dong (2); Wu, Feng (1); Li, Na (1); Cui, Ningbo (3)

Author affiliation: (1) Faculty of Agriculture and Food, Kunming University of Science and Technology, Kunming; 650500, China; (2) Center of Engineering and Construction Service, Ministry of Agriculture and Rural Affairs, Beijing; 100081, China; (3) State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu; 610065, China

Corresponding author: Li, Na(kjclina@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 346-354

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to explore the hydraulic performance of the screen filter, the initial flow field inside the screen filter and the flow distribution on the mesh surface of the filter element were fully understood. Computational fluid dynamics method was used at three entrance velocities (0.5 m/s, 1.5 m/s and 2.5 m/s) and three kinds of mesh numbers (60 meshes, 80 meshes and 100 meshes) for numerical simulation, and the screen filter head loss was analyzed. The head loss of the filter was concentrated on the outlet core, which accounted for 87% of the total loss, and increased with the improvement of mesh number of filter screen. Stream flowed to the lateral acceleration area inside the cavity can be divided into export, export side deceleration zone, plug circumfluence area and vortex area four parts. The maximum velocity in the cavity was located at the end of the accelerating zone on the outlet side, and the difference between the maximum velocity and the inlet velocity was 2.4 times. The mesh number of filter screen did not affect the distribution of internal velocity field. The flow distribution on the screen surface was seriously uneven. The high-flow area was mainly distributed on the outlet side, and the area of the high-flow area was positively correlated with the inlet velocity and filtration accuracy. It was suggested to block the area with the highest and lowest flow on the net surface, so that the flow distribution on the net surface can become even, and thus improve the filtration efficiency. When the inlet velocity was increased from 0.5 m/s to 2.5 m/s, the difference between the maximum and minimum flow was 3.3 times. When the mesh number of filter screen was increased from 60 meshes to 100 meshes, the difference between the maximum and minimum flow rate was 3.3, 3.1 and 2.3 times, the maximum flow rate was shifted outward, and the minimum flow rate was shifted inward. The pressure field in the cavity was step-down with the vortex area as the center. The distribution law of pressure field did not change with inlet velocity and mesh number, but the pressure field was positively correlated with the two variables. In order to reduce the impact force of water flow on the filter screen, annular plates can be added on the surface of the filter screen to form a stagnant water area so as to reduce the impact of water flow on the outlet side of the filter screen. The dead water area in the plug had high pressure, low flow rate, and sediment was easy to precipitate. It was suggested to expand and optimize the plug volume to undertake more sediment. The research result can further reveal the changing rule of the flow field inside the screen filter, and explore the mesh flow distribution of the filter, so as to provide a reference for the structure optimization of the filter. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 33

Main heading: Mesh generation

Controlled terms: Computational fluid dynamics? - ?Efficiency? - ?Flow fields? - ?Flow of water? - ?Flow rate? - ?Inlet flow? - ?Numerical methods? - ?Numerical models? - ?Velocity? - ?Vortex flow

Uncontrolled terms: Flow distribution? - ?Head loss? - ?High flow? - ?Inlet velocity? - ?Maximum velocity? - ?Mesh number? - ?Mesh number of filter screen? - ?Minimum flow? - ?Pressure-field? - ?Screen filters

Classification code: 631 Fluid Flow? - ?631.1 Fluid Flow, General? - ?631.1.1 Liquid Dynamics? - ?723.5 Computer Applications? - ?913.1 Production Engineering? - ?921 Mathematics? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory? - ?921.6 Numerical Methods? - ?931.1 Mechanics? - ?943.2 Mechanical Variables Measurements

Numerical data indexing: Percentage 8.70E+01%, Velocity 1.50E+00m/s, Velocity 2.50E+00m/s, Velocity 5.00E-01m/s to 2.50E+00m/s, Velocity 5.00E-01m/s

DOI: 10.6041/j.issn.1000-1298.2022.02.037

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

5. Estimation of Free Amino Acid Content in Fresh Tea Leaves at Multiple Growth Periods Based on Optimized Vegetation Index

Accession number: 20221111788548

Title of translation:

Authors: Duan, Dandan (1, 2); Liu, Zhonghua (1); Zhao, Chunjiang (2, 3); Zhao, Yu (2, 3); Wang, Fan (2, 3)

Author affiliation: (1) College of Horticulture, Hunan Agricultural University, Changsha; 410128, China; (2) National Engineering Research Center for Information Technology in Agriculture, Beijing; 100097, China; (3) Beijing Research Center of Intelligent Equipment for Agriculture, Beijing; 100097, China

Corresponding author: Liu, Zhonghua(larkin-liu@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 393-400 and 420

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The appearance and quality of tea in seasons of spring, summer and autumn are quite different. Using vegetation index to monitor the free amino acid content of fresh tea leaves in different seasons is facing great challenges. The spectral transformation played an important role in highlighting the characteristic spectrum and eliminating the influence of background and noise. Whether the optimization of vegetation index (VI) by transformation was beneficial to the free amino acid content of tea leaves at multiple growth stages was concerned. The free amino acid content data and hyperspectral data of ten tea varieties (summer tea, autumn tea and spring tea) were analyzed in three consecutive seasons. Firstly, the original spectral data was transformed by spectral transformations (reciprocal (T1/R), logarithm (T1gR), first-order differential TR¡¯, first-order differential T(1/R)¡¯ of reciprocal and first-order differential T(1gR)¡¯ of the logarithm). The correlation between the vegetation index of different transformation spectra and the combination of spectral transformation and the amino acid of fresh tea leaves in different seasons was further analyzed. Finally, the effects of different spectral transformations on the free amino acid model of fresh tea leaves in different seasons were compared. The results showed that the changing trend of free amino acid content in modeling set and validation set of fresh tea leaves was spring tea free amino acid content (modeling mean: 4.03%, validation mean: 3.98%), autumn tea free amino acid content (modeling mean: 3.72%, validation mean: 3.56%) and summer tea free amino acid content (modeling mean: 2.91%, validation mean: 2.93%). Except for TlgR-TCARI, the correlation between other vegetation indices optimized by spectral transformation and free amino acids in fresh tea leaves was higher than that between classical vegetation indices and free amino acids in fresh tea leaves, with the absolute correlation coefficients of 0.10~0.30. The accuracy of the MLR model based on TlgR-VI was obtained in the calibration sets and verification sets of different seasons, and it was suitable for the estimation of the amino acid content of tea fresh leaves during multiple growth periods. The multiple linear regression (MLR) model based on TlgR-VI had high accuracy, with determination coefficient (R2) of 0.38 and root mean squared error (RMSE) of 0.72% for calibration sets and R2 of 0.38 and RMSE of 0.84%, respectively. The overall results indicated that spectral pretreatment had a positive effect on the monitoring of free amino acids in different growth seasons, which provided a technical reference for the estimation of tea quality. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 36

Main heading: Multiple linear regression

Controlled terms: Amino acids? - ?Linear transformations? - ?Vegetation

Uncontrolled terms: Acid content? - ?Amino-acids? - ?Content modeling? - ?First-order differentials? - ?Free amino acids? - ?Fresh tea leaf? - ?Growth period? - ?Optimized vegetation index? - ?Spectral transformations? - ?Vegetation index

Classification code: 804.1 Organic Compounds? - ?921.3 Mathematical Transformations

Numerical data indexing: Percentage 2.91E+00%, Percentage 2.93E+00%, Percentage 3.56E+00%, Percentage 3.72E+00%, Percentage 3.98E+00%, Percentage 4.03E+00%, Percentage 7.20E-01%, Percentage 8.40E-01%

DOI: 10.6041/j.issn.1000-1298.2022.02.042

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

6. Design and Test of Measurement and Control System for Rapid Prototype Platform Used in Electric Tractors

Accession number: 20221111788746

Title of translation:

Authors: Wang, Zhenzhen (1); Zhou, Jun (1); Yang, Hangxu (1, 2); Wang, Xu (1)

Author affiliation: (1) School of Engineering, Nanjing Agricultural University, Nanjing; 210031, China; (2) Jinhua Polytechnic, Jinhua; 321017, China

Corresponding author: Zhou, Jun(zhoujun@njau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 412-420

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Electric tractors get more and more attention due to increasingly stringent exhaust emission policies around the world, which makes more and more test benches for electric tractors have been developed. However, in these studies the focus is primarily on the two problems of matching parameters and energy management of the powertrain architectures performing transportation or ploughing operations, and little attention is paid to the design of measurement and control system for electric tractors. The objective was to develope the design method for a reconfigurable measurement and control system. More specifically, a rapid prototype test platform for a series hybrid electric tractor with a dual-motor independent drive structure was selected to implement the rotary tillage operation. A diesel engine and two permanent magnet synchronous motors were taken as the power source, which can meet the development test of electric tractors with power below 80.8 kW. A rapid prototyping real-time control system was designed by the combination of dSPACE and Matlab/Simulink. Design methods of communication modularization and control strategy modularization were proposed to improve the utilization efficiency of the test bench and reduce the costs. The experiments of rotary tillage operation in the terms of pure electric mode and hybrid electric mode were carried out by the Rule-based control strategy. The results showed that when the load torque of rotary tillage varied from 31 N?m to 64 N?m, the speed fluctuation of power take-off (PTO) motor was 529~550 r/min, the maximum relative error compared with the set value was about 2.037%. In addition, the maximum relative errors of the speed of the drive motor 2, the left and right load motor, and the engine generator set were 0.396%, 0.889%, 1.333%, and 0.625%, respectively, which were all within the control allowable range. It was demonstrated that the response speed and control effect of the measurement and control systems of the test platform was good. In the hybrid mode, the battery voltage and SOC were gradually increased over time by starting the engine generator set, because the charging current of the engine generator set subsystem was greater than the discharging current of whole system, indicating that the series hybrid electric mode operated normally, which verified that the design method of the communication modularity and control strategy modularization for the test bench was reasonable and feasible. The design method proposed for developing the measurement and control system of the platform was general and can be extended to other engineering applications, which had a certain reference value and guiding significance for engineers and researchers to develop similar platforms. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 23

Main heading: Permanent magnets

Controlled terms: Control systems? - ?Electric machine control? - ?Engines? - ?Modular construction? - ?Power takeoffs? - ?Rapid prototyping? - ?Real time control? - ?Synchronous generators? - ?System-on-chip? - ?Tractors (agricultural) ? - ?Tractors (truck)

Uncontrolled terms: Communication modularization? - ?Control strategies? - ?Control strategy modularization? - ?Design method? - ?Electric tractors? - ?Modularizations? - ?Rapid prototyping test platform? - ?Rapid-prototyping? - ?Reconfigurable design method? - ?Reconfigurable designs ? - ?Test platforms

Classification code: 405.2 Construction Methods? - ?663.1 Heavy Duty Motor Vehicles? - ?704.1 Electric Components? - ?705.2.1 AC Generators? - ?714.2 Semiconductor Devices and Integrated Circuits? - ?721.3 Computer Circuits? - ?723.5 Computer Applications? - ?731 Automatic Control Principles and Applications? - ?731.1 Control Systems? - ?731.2 Control System Applications? - ?821.1 Agricultural Machinery and Equipment

Numerical data indexing: Angular velocity 8.8343E+00rad/s to 9.185E+00rad/s, Force 3.10E+01N, Force 6.40E+01N, Percentage 1.333E+00%, Percentage 2.037E+00%, Percentage 3.96E-01%, Percentage 6.25E-01%, Percentage 8.89E-01%, Power 8.08E+04W

DOI: 10.6041/j.issn.1000-1298.2022.02.044

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

7. Impacts of Cycle Aerated Subsurface Drip Irrigation on Growth Characteristics and Yield of Greenhouse Tomato

Accession number: 20221111788744

Title of translation:

Authors: Zhang, Qian (1); Zeng, Jian (1); Zhang, Zhenhua (2); Lei, Hongjun (3); Zhang, Peng (1); Liu, Dong (1)

Author affiliation: (1) College of Water Conservancy and Civil Engineering, Shandong Agricultural University, Tai¡¯an; 271018, China; (2) School of Resources and Environmental Engineering, Ludong University, Yantai; 264025, China; (3) School of Water Conservancy, North China University of Water Conservancy and Electric Power, Zhengzhou; 450011, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 365-377

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: To investigate the effects of different fertilizer-air coupling treatments on crop growth characteristics, photosynthetic characteristics and yield under cycle aerated subsurface drip irrigation, tomato (Jinglu 6335) was taken as the research object, and the recycling aeration device was used to supply water, fertilizer and gas. Four aeration quantities (O1 was high aeration, O2 was medium aeration, O3 was low aeration, S was no aeration, aeration ratio was 16.25%, 14.58%, 11.79% and 0, respectively), three fertilizer quantities (F1 was high fertilizer, F2 was medium fertilizer, F3 was low fertilizer) were set, and a two-factor randomized block experimental design was adopted, with a total of 12 treatments. The effects of different fertilizer-air couplings on plant growth characteristics, chlorophyll content, photosynthesis, plant dry matter accumulation and yield of greenhouse tomato were studied. The results showed that cycle aerated subsurface drip irrigation could significantly increase plant height, stem diameter, leaf chlorophyll content and stomatal conductance, enhance photosynthesis, and increase dry matter accumulation and yield of greenhouse tomato. The plant height and stem diameter were increased with the increase of aeration. The maximum increase of plant height and stem diameter was 22.57% and 7.25% respectively in aerated irrigation treatment compared with non-aerated irrigation treatment. At the same fertilization levels, compared with non-aerated irrigation, the net photosynthetic rate, stomatal conductance and transpiration rate of high aeration irrigation treatment were increased by 52.46%, 60.64% and 36.88% respectively, the contents of chlorophyll a and chlorophyll b were increased by 33.17% and 48.71%, respectively. The plant dry matter accumulation and fruit dry matter accumulation under high aeration irrigation at medium fertilizer level were increased by 31.66% and 36.95% on average, and the yield of single plant and the weight of single fruit were increased by 12.80% and 19.51% compared with that of non-aerated irrigation. At the same aeration level, plant height, stem diameter, net photosynthetic rate, chlorophyll a, chlorophyll b and plant dry matter accumulation of tomatoes under medium fertilizer treatments were significantly increased compared with those under high and low fertilizer treatments. The yield of tomato single plant was significantly positively correlated with plant height, stem diameter and net photosynthetic rate (P ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 35

Main heading: Fertilizers

Controlled terms: Chlorophyll? - ?Design of experiments? - ?Fruits? - ?Greenhouses? - ?Irrigation? - ?Photosynthesis? - ?Water recycling

Uncontrolled terms: Aerated subsurface? - ?Cycle aerated subsurface drip irrigation? - ?Dry matter accumulation? - ?Greenhouse tomatoes? - ?Growth characteristic? - ?Photosynthetic characteristics? - ?Plant height? - ?Stem diameter? - ?Subsurface drip irrigation? - ?Yield

Classification code: 741.1 Light/Optics? - ?802.2 Chemical Reactions? - ?804 Chemical Products Generally? - ?804.1 Organic Compounds? - ?821.2 Agricultural Chemicals? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?821.6 Farm Buildings and Other Structures? - ?901.3 Engineering Research

Numerical data indexing: Percentage 1.179E+01%, Percentage 1.28E+01%, Percentage 1.458E+01%, Percentage 1.625E+01%, Percentage 1.951E+01%, Percentage 2.257E+01%, Percentage 3.166E+01%, Percentage 3.317E+01%, Percentage 3.688E+01%, Percentage 3.695E+01%, Percentage 4.871E+01%, Percentage 5.246E+01%, Percentage 6.064E+01%, Percentage 7.25E+00%

DOI: 10.6041/j.issn.1000-1298.2022.02.039

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

8. Design and Test of Transport Vehicle for Hillside Orchards Based on Center of Gravity Regulation

Accession number: 20221111788735

Title of translation:

Authors: Han, Zhenhao (1, 2); Zhu, Licheng (2); Yuan, Yanwei (2); Zhao, Bo (2); Fang, Xianfa (1, 2); Wang, Decheng (1)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) State Key Laboratory of Soil-Plant-Machine System Technology, Chinese Academy of Agricultural Mechanization Sciences, Beijing; 100083, China

Corresponding authors: Fang, Xianfa(fangxf@caams.org.cn); Fang, Xianfa(fangxf@caams.org.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 430-442

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: To further improve the adaptability of hillside orchard transporters to complex terrain, a hillside orchard transport vehicle based on center of gravity regulation was designed. Firstly, the overall design of the vehicle and the basic working principle were described according to the actual environment characteristics of hillside orchards. Then, based on the design requirements, the crawler chassis, the movable loading platform, and the control system were designed. The control strategy of the machine¡¯s center of gravity was formulated for three cases of straight driving on slopes, crossing obstacles on slopes, and crossing trenches on slopes. Secondly, a virtual simulation of the vehicle was built based on the multi-body dynamics analysis software RecurDyn, the rationality and feasibility of the design scheme and control strategy were verified. Finally, the prototype was tested, and the performance test was conducted. The test results showed that under the slope angle of 10¡ã and the load of 0 kg, 50 kg, 100 kg, and 150 kg, after the position of the center of gravity was adjusted, the maximum combined traction force of yawing 45¡ã were 1 897.87 N, 2 139.48 N, 2 328.92 N and 2 425.24 N, which were increased by 21.11%, 20.65%, 26.40% and 26.93%, respectively, compared with the initial state. The maximum tilt angle of the transport vehicle downhill were 45¡ã, 43¡ã, 42¡ã and 40¡ã, which were increased by 7.14%, 13.16%, 13.51% and 14.29%, respectively, compared with the initial state. The maximum tilt angle of the transport vehicle cross slope were 40¡ã, 38¡ã, 35¡ã and 35¡ã, which were increased by 8.11%, 8.57%, 12.90% and 20.69%, respectively, compared with the initial state. The maximum heights of the transport vehicle over the obstacle uphill were 210 mm, 200 mm, 200 mm and 190 mm, which were increased by 10.53%, 25.00%, 33.33% and 46.15%, respectively, compared with the initial state. The maximum widths of the transport vehicle over the trench downhill were 450 mm, 480 mm, 510 mm and 520 mm, which were increased by 7.14%, 14.29%, 21.43% and 26.83%, respectively, compared with the initial state. Under different load conditions, the movable loading platform and the machine¡¯s center of gravity control strategy proposed in this paper could effectively improve the slope driving performance of the transport vehicle and had good terrain adaptability in the actual operating environment of hillside orchards. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 27

Main heading: Chassis

Controlled terms: Computer software? - ?Orchards? - ?Traction (friction)? - ?Vehicle wheels? - ?Virtual reality

Uncontrolled terms: Center of gravity? - ?Center of gravity regulation? - ?Control strategies? - ?Crawler chassi? - ?Hillside orchard? - ?Initial state? - ?Loading platforms? - ?Slope driving? - ?Tilt angle? - ?Transport vehicles

Classification code: 601.2 Machine Components? - ?662.4 Automobile and Smaller Vehicle Components? - ?663.2 Heavy Duty Motor Vehicle Components? - ?723 Computer Software, Data Handling and Applications? - ?821.3 Agricultural Methods? - ?931.1 Mechanics

Numerical data indexing: Force 1.3948E+02N, Force 3.2892E+02N, Force 4.2524E+02N, Force 8.9787E+02N, Mass 0.00E00kg, Mass 1.00E+02kg, Mass 1.50E+02kg, Mass 5.00E+01kg, Percentage 1.053E+01%, Percentage 1.29E+01%, Percentage 1.316E+01%, Percentage 1.351E+01%, Percentage 1.429E+01%, Percentage 2.065E+01%, Percentage 2.069E+01%, Percentage 2.111E+01%, Percentage 2.143E+01%, Percentage 2.50E+01%, Percentage 2.64E+01%, Percentage 2.683E+01%, Percentage 2.693E+01%, Percentage 3.333E+01%, Percentage 4.615E+01%, Percentage 7.14E+00%, Percentage 8.11E+00%, Percentage 8.57E+00%, Size 1.90E-01m, Size 2.00E-01m, Size 2.10E-01m, Size 4.50E-01m, Size 4.80E-01m, Size 5.10E-01m, Size 5.20E-01m

DOI: 10.6041/j.issn.1000-1298.2022.02.046

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

9. Performance Evaluation of Rotary Tillage Straw Returning Based on Composite Indicators and Measurement Techniques

Accession number: 20221111788540

Title of translation:

Authors: Xu, Gaoming (1, 2); Wang, Xiaochan (1, 2); He, Ruiyin (1, 2); Ding, Qishuo (1, 2)

Author affiliation: (1) College of Engineering, Nanjing Agricultural University, Nanjing; 210031, China; (2) Key Laboratory of Intelligent Agricultural Equipment of Jiangsu Province, Nanjing; 210031, China

Corresponding authors: Ding, Qishuo(qsding@njau.edu.cn); Ding, Qishuo(qsding@njau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 58-67

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Straw returning is an important technical way to improve soil fertility and crop yield, bearing important practical significance for the sustainable development of agriculture. However, the comprehensive testing and evaluation methods for straw returning quality are still very limited, especially the quantitative description of the spatial distribution of tillage buried straws in soil profile. Taking the performance evaluation on straw returning of rotary tillage as an example, 2D digital image method, 3D reverse engineering technology and Matlab calculation program were used to construct the straw returning quality evaluation and test technology, including composite indicators of the cell, burying rate, depth direction, and horizontal direction. Based on the measure techniques and composite indicators, the spatial distribution of tillage buried straws with six different lengths, i.e. 3 cm (T3), 5 cm (T5), 7.5 cm (T7.5), 10 cm (T10), 12.5 cm (T12.5) and 15 cm (T15) was evaluated and analyzed. In the surface layer, the coefficient of variation of straw proportion in each interval was firstly decreased, and then increased, and finally stabilized, and the coefficient of variation of T5 treatment was 10.2%, which was the smallest. With the increase of straw cutting length, the straw coverage rate was decreased with a logarithmic relationship, and the coefficient of determination of the model was greater than 0.97. In the underground layer, the shorter the length of straw chopped along the depth direction was, the more the proportion of straw in the middle and lower layers (5~15 cm) was, and that for T3 and T5 treatments was 76.8% and 71.7%, respectively, which were better than other treatments. Along the horizontal direction, the coefficient of variation of different treatments had no absolute rule, but on the whole, T3 and T5 treatments¡¯ horizontal and longitudinal coefficient of variation were not more than 22.8%, and the distribution was uniform. The coefficient of variation of each cell and the proportion of non straw cells were increased gradually with the increase of straw chopping length. The coefficient of variation of T3 and T5 treatments were 73.6% and 73.1%, respectively, and the proportion of non straw cells was 15.7%. Comprehensive analysis showed that straw chopping length had a significant impact on the quality of rotary tillage. T3 and T5 treatments had a better effect on straw mixed burying. Considering the energy consumption, the straw chopping length of 5 cm was the best choice for semi feeding harvester. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 53

Main heading: Soils

Controlled terms: Cell engineering? - ?Cells? - ?Cytology? - ?MATLAB? - ?Quality control? - ?Reverse engineering? - ?Software testing? - ?Soil testing? - ?Spatial distribution? - ?Sustainable development

Uncontrolled terms: Cell-be? - ?Cell/B.E? - ?Cell/BE? - ?Coefficients of variations? - ?Composite indicators? - ?Measurement evaluations? - ?Measurement techniques? - ?Performances evaluation? - ?Rotary tillages? - ?Straw returning

Classification code: 405.3 Surveying? - ?461.1 Biomedical Engineering? - ?461.2 Biological Materials and Tissue Engineering? - ?461.9 Biology? - ?483.1 Soils and Soil Mechanics? - ?723.5 Computer Applications? - ?902.1 Engineering Graphics? - ?913.3 Quality Assurance and Control? - ?921 Mathematics

Numerical data indexing: Size 5.00E-02m, Percentage 1.02E+01%, Percentage 1.57E+01%, Percentage 2.28E+01%, Percentage 7.17E+01%, Percentage 7.31E+01%, Percentage 7.36E+01%, Percentage 7.68E+01%, Size 1.00E-01m, Size 1.25E-01m, Size 1.50E-01m, Size 3.00E-02m, Size 5.00E-02m to 1.50E-01m, Size 7.50E-02m

DOI: 10.6041/j.issn.1000-1298.2022.02.006

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

10. Design and Experiment of Portable Non-destructive Tester for Heavy Metal Cadmium Content in Vegetable Leaves

Accession number: 20221111788745

Title of translation:

Authors: Sun, Jun (1); Hu, Shuangqi (1); Zhou, Xin (1); Zhang, Lin (1); Wu, Xiaohong (1); Dai, Chunxia (1)

Author affiliation: (1) School of Electrical and Information Engineering, Jiangsu University, 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: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 195-202 and 220

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problems of large size, high cost and destructive detection of the traditional method of heavy metal cadmium detection in vegetable leaves, a method for detecting heavy metal cadmium in vegetable leaves based on visible light-near-infrared spectroscopy was proposed, and a method was built without pretreatment. The heavy metal cadmium detection instrument with fast detection speed, small size and easy to carry can be suitable for mobile on-site detection. Nutrient solution of four heavy metal cadmium stress gradients (0 mg/L, 1 mg/L, 3 mg/L and 5 mg/L) was configured, lettuce samples were cultivated under each cadmium stress, and leaf reflectance data was collected through a hyperspectral imaging system. Three characteristic bands (550 nm, 680 nm and 800 nm) were selected by using principal component analysis (PCA), and a heavy metal cadmium detection model was built by using partial least squares regression (PLSR). The correlation coefficient RP of test set was 0.914 9, and the root mean square error of test set was 0.527 1 mg/kg. The designed detection instrument for heavy metal cadmium in vegetable leaves included: light source part, signal processing part, display part, power supply part and control part. The size of the instrument was 50 mm¡Á70 mm¡Á60 mm. Using self-made instrument for calibration experiment, selecting A/D acquisition voltage as reference, calibration data were used for modeling, model training set correlation coefficient Rc was 0.858 1, training set root mean square error was 0.497 5 mg/kg, test set correlation coefficient Rp was 0.843 2, root mean square error of the test set was 0.552 6 mg/kg, and the model prediction performance was better. Finally, the detection accuracy of the portable heavy metal cadmium nondestructive testing instrument was verified. Totally 30 groups of cadmium-stressed lettuce leaves were selected for real-time detection, which were not related to the modeling. Compared with the standard physical and chemical values, the root mean square error was 0.32 mg/kg, and the absolute measurement error was -0.69~0.66 mg/kg, the average absolute error was 0.26 mg/kg. The results showed that the instrument can realize real-time non-destructive detection of cadmium content in lettuce leaves. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 39

Main heading: Nondestructive examination

Controlled terms: Cadmium? - ?Calibration? - ?Error detection? - ?Forecasting? - ?Hyperspectral imaging? - ?Infrared devices? - ?Least squares approximations? - ?Lettuce? - ?Light? - ?Light sources ? - ?Mean square error? - ?Near infrared spectroscopy? - ?Principal component analysis? - ?Vegetables

Uncontrolled terms: Cadmium content? - ?Correlation coefficient? - ?Detection instruments? - ?Heavy metal cadmium? - ?Portable? - ?Root mean square errors? - ?Test sets? - ?Vegetable leaf? - ?Visible light? - ?Visible light-near-infrared spectroscopy

Classification code: 549.3 Nonferrous Metals and Alloys excluding Alkali and Alkaline Earth Metals? - ?741.1 Light/Optics? - ?746 Imaging Techniques? - ?821.4 Agricultural Products? - ?921.6 Numerical Methods? - ?922.2 Mathematical Statistics

Numerical data indexing: Mass 1.00E-06kg, Mass 2.60E-07kg, Mass 3.20E-07kg, Mass 5.00E-06kg, Mass 6.00E-06kg, Mass 6.90E-07kg to 6.60E-07kg, Mass density 0.00E00kg/m3, Mass density 1.00E-03kg/m3, Mass density 3.00E-03kg/m3, Mass density 5.00E-03kg/m3, Size 5.00E-02m, Size 5.50E-07m, Size 6.00E-02m, Size 6.80E-07m, Size 7.00E-02m, Size 8.00E-07m

DOI: 10.6041/j.issn.1000-1298.2022.02.020

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

11. Design and Test of Seeding Monitoring and Compensating System for Belt-spoon Type Potato Seed Metering Device

Accession number: 20221111788526

Title of translation:

Authors: Wen, Baoqin (1, 2); Song, Pengxiang (1, 2); Li, Jingbin (1, 2); Huang, Yong (1, 2); Cen, Honglei (1, 2)

Author affiliation: (1) College of Mechanical and Electrical Engineering, Shihezi University, Shihezi; 832003, China; (2) Xinjiang Production and Construction Crops Key Laboratory of Modern Agricultural Machinery, Shihezi; 832003, China

Corresponding authors: Huang, Yong(1216009003@qq.com); Huang, Yong(1216009003@qq.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 36-46

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Miss-seeding of a belt-spoon type potato seed metering device can cause significant congenital yield loss. Through analysis of the working process of a seed metering device, a miss-seeding detection module was designed. This miss-seeding detection method needed to design a detection hole on the seed metering device protection shell, seed belt and sensor protection plate. The detection process used the opposite photoelectric sensor. This miss-seeding detection method did not require a location sensor to determine the location of the spoon. By analyzing the actual working requirements of the seeder, a compensation module using electromagnet push rod for compensation was designed. This compensation method would not affect the actual working efficiency of the seeder, and it can ensure the qualified rate of plant spacing after supplementary inoculation. Through the circuit design, hardware selection and mechanical structure design of detection module, compensation module, single chip microcomputer module, display module and sound and light alarm module, the design of miss-seeding detection and compensation system was completed. The control system software was designed by analyzing the control requirements of the entire control system. In order to ensure that the response time of the compensation module can meet the requirements of continuous compensation, the response speed of the compensation module was analyzed by means of high-speed camera technology. The results showed that the supplementary inoculation module could meet the continuous compensation requirement of the metering device at the fastest operating speed of 6.8 km/h. In order to test the success rate of miss detection and compensation of the system, by building a test rig for performance testing. When the speed of the seed metering belt was varied from 0.14 m/s to 0.54 m/s, the original miss-seeding rate was changed from 5.9% to 11.4%. After compensation by the proposed system, the final miss-seeding rate was varied from 0.9% to 2.1%. The success rate of the miss-seeding detection module was 100%. The average success rate of automatic compensation was 83.0%. In the test speed range, and relatively stable with increased belt line speed. In the range of test speed, with the increase of seed belt line speed, the system miss-seeding detection was accurate and the success rate of compensation was stable. The missing sowing detection and supplementary inoculation system can effectively reduce the missing sowing rate of spoon potato metering device during operation. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 24

Main heading: Speed

Controlled terms: Control systems? - ?High speed cameras? - ?Seed

Uncontrolled terms: Automatic compensation? - ?Design and tests? - ?Detection methods? - ?Detection modules? - ?Metering devices? - ?Miss-seeding detection? - ?Potato? - ?Seed-metering device? - ?Seeding rate? - ?Test speed

Classification code: 731.1 Control Systems? - ?742.2 Photographic Equipment? - ?821.4 Agricultural Products

Numerical data indexing: Percentage 1.00E+02%, Percentage 5.90E+00% to 1.14E+01%, Percentage 8.30E+01%, Percentage 9.00E-01% to 2.10E+00%, Size 6.80E+03m, Velocity 1.40E-01m/s to 5.40E-01m/s

DOI: 10.6041/j.issn.1000-1298.2022.02.004

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

12. Method of De-stripe Calibration Applied in Water Content Spatial Visualization in Ginkgo Leaf on Spectral Imagery

Accession number: 20221111788750

Title of translation:

Authors: Zhao, Maocheng (1); Chen, Jiaxin (1); Xing, Xiaoyang (1); Wang, Xiwei (1); Gu, Yue (1); Li, Zhong (2)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing; 210037, China; (2) National-provincial Joint Engineering Research Center of Electromechanical Product Packaging with Biomaterials, Nanjing Forestry University, Nanjing; 210037, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 212-220

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: A distinctive spatial noise pattern in the form of parallel stripes exists commonly in the images that are acquired using pushbroom hyperspectral imaging systems. Passing through chemometric systems, it often resurfaces in resultant images of the spatial distributions of various chemical or quality indices, blocking or breaking the spatial details therein, and undermining consequent interpretation. In regard of this, an image de-striping calibration was investigated for its contribution to improving spatial chemometric predictions. The de-stripe calibration was first applied to the hyperspectral images of 155 ginkgo leaves before mapping the spatial distribution of water content (WC) using partial least squares regression-chemometric models. In comparison, the process was repeated twice, respectively, from either raw hyperspectral image without de-stripe calibration or those through a conventional image-enhancement of spatial smoothing-filtering. Results showed that neither the de-stripe calibration nor the conventional image enhancement would affect the accuracy of chemometric models, and that the coefficient of determination of prediction, or RP2, irrespective of different preprocessing in all three cases, were risen up with the increase of number of principal components (PCs), until peaking at the number of 10 PCs (RP2=0.93~0.94). However, difference emerged when applying chemometric models to the spectra at individual pixels to map the spatial distribution of WC over leaf-surface. As the number of PCs was increased from 6 to 10, so did the spectral gains of chemometric models causing strengthening stripy noise in the WC maps from either the un-treated or conventionally smooth-filtered images, with noise-stripes being the most prominent spatial feature at 8 PCs, and even deteriorating to the point, at 9 or 10 PCs, that any possible WC variation over a leaf would be totally blocked up. To the contrary, the de-stripe calibration successfully suppressed the distinctive noise patterns inherent from the pushbroom hyperspectral imaging system, so that no discernible stripes appeared in the WC maps from the de-striped hyperspectral images and stunning spatial details were preserved in the maps derived from the relatively high accuracy chemometric model of 8 PCs (RP2=0.88). It may be safely concluded from this comparative study that de-stripe calibration of pushbroom hyperspectral images did contribute rich spatial details and high accuracy to spatial chemometric predictions through keeping spatial details intact while enabling the application of models with high spectral gains. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 27

Main heading: Calibration

Controlled terms: Forecasting? - ?Hyperspectral imaging? - ?Image enhancement? - ?Imaging systems? - ?Least squares approximations? - ?Soil surveys? - ?Spatial distribution? - ?Spectroscopy? - ?Water content

Uncontrolled terms: Chemometric modeling? - ?Chemometrices? - ?De-stripe calibration? - ?Ginkgo leaves? - ?HyperSpectral? - ?Hyperspectral imaging systems? - ?Noise patterns? - ?Principal Components? - ?Push-broom hyperspectral imaging? - ?Pushbroom

Classification code: 405.3 Surveying? - ?483.1 Soils and Soil Mechanics? - ?746 Imaging Techniques? - ?902.1 Engineering Graphics? - ?921 Mathematics? - ?921.6 Numerical Methods

DOI: 10.6041/j.issn.1000-1298.2022.02.022

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

13. Design and Test on Winter Wheat Precision Separated Layer Fertilization and Wide-boundary Sowing Combined Machine

Accession number: 20221111788509

Title of translation:

Authors: Zhu, Qingzhen (1); Wu, Guangwei (2, 3); Zhu, Zhihao (1); Zhang, Hengyuan (1); Gao, Yuanyuan (1); Chen, Liping (1, 3)

Author affiliation: (1) School of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang; 212013, China; (2) Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing; 100097, China; (3) Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing; 100097, China

Corresponding authors: Wu, Guangwei(wugw@nercita.org.cn); Wu, Guangwei(wugw@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: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 25-35

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Wide-boundary sowing pattern of winter wheat and base-fertilizer separated layer application technology have good value for extension and application. In order to promote the integration of agronomy and agricultural machinery, a winter wheat separated layer fertilization-sowing planter combined machine and a set of precision fertilizer-seed metering control system matched with the combined machine were developed. Firstly, the overall structure of combined machine was determined, and its layered delivery mechanism of seed and fertilize, depth limiting mechanism, three-point suspension mechanism and compacting mechanism were designed and elaborated. The installation angle of depth limiting mechanism was set to be 15¡ã, and then the horizontal distances between material¡¯s outlet orifice of layered delivery mechanism and the center of rotary tiller was increased by 115 mm, which could reduce the influence of soil and straw on the normal rolling of depth limiting mechanism. Moreover, the suspension point on the traditional three-point suspension mechanism was transformed from spherical pair to moving pair, which could keep the longitudinal beam of layered delivery mechanism parallel to the ground at all times, and then improve the stable seed and fertilizer delivery depth of the combined machine. Secondly, a set of precision fertilizer-seed metering control system matched with the combined machine were developed, and then the key hardware of control system, such as embedded host, electrical control model of hydraulic motor, attitude discrimination method of machine and driving speed analysis module were also determined. Moreover, the system control model was proposed and the operation software interface of embedded host was designed. The combined machine with precision fertilizer-seed metering control system could accurately control discharge of deep fertilizer, shallow fertilizer and seed. Finally, totally 15 indexes of the combined machine with precision fertilizer-seed metering control system were tested and evaluated by a third party inspection agency inspection. The test results showed that all technical indexes of the combined machine met the specified performance requirements, and the combined machine could satisfy agronomic and agricultural machinery technical requirements of rotary tillage, separated layer fertilizer application and wide-boundary sowing of winter wheat. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 26

Main heading: Crops

Controlled terms: Agricultural machinery? - ?Agronomy? - ?Control systems? - ?Fertilizers? - ?Hydraulic machinery? - ?Seed? - ?Suspensions (components)

Uncontrolled terms: Application technologies? - ?Delivery mechanism? - ?Design and tests? - ?Fertilisation? - ?Seed metering? - ?Separated layer? - ?Separated layer fertilization? - ?Suspension mechanism? - ?Wide-boundary sowing? - ?Winter wheat

Classification code: 601.2 Machine Components? - ?632.2 Hydraulic Equipment and Machinery? - ?731.1 Control Systems? - ?804 Chemical Products Generally? - ?821.1 Agricultural Machinery and Equipment? - ?821.2 Agricultural Chemicals? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products

Numerical data indexing: Size 1.15E-01m

DOI: 10.6041/j.issn.1000-1298.2022.02.003

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

14. Design and Experiment of Rumen pH value and Temperature Monitoring System for Dairy Cows Based on Internet of Things

Accession number: 20221111788549

Title of translation: pH

Authors: Zhao, Jizheng (1, 2); Zhuang, Puning (1, 2); Shi, Fulei (1, 2); Lu, Cheng (1, 2); Dong, Zhengqi (1, 2)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling; 712100, China; (2) Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs, Yangling; 712100, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 291-298 and 308

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Rumen pH value and temperature are key indicators of rumen fitness. It is difficult to implement traditional measurement, and the traditional rumen pH value measurement trends to cause cross infection. A wireless measurement unit for rumen pH value and temperature was designed. A star Sub-1G wireless network was also designed to monitor multiple cows. An Alibaba Cloud interface was developed to display rumen pH value and temperature. The wireless measurement unit used LabSen331 pH electrode to measure pH value and employed Pt1000 to sense temperature. AD8603 operational amplifier and AD7792 analog-to-digital converter were used to amplify and convert signal. STM8L151 microcontroller was employed to process data. The data was transmitted to collar node with 315 MHz wireless signals. Wireless transmission network was built based on TI-15.4 protocol. When data was acquired by a collar node, it was further sent to the collector. The collector sent data to gateway through UART. The gateway transmitted data to Alibaba Cloud through 4G network according to MQTT protocol. pH value and temperature measurement accuracy, power consumption of measurement unit, and reliability of wireless transmission network were examined. The error of the pH value measurement was less than ¡À0.02. The temperature measurement error was less than ¡À0.3. The measurement unit used a 2 200 mA?h/3.6 V lithium battery for power supply. When the measurement interval was set to be 10 min, the battery was able to work more than 1 800 days. The range of reliable wireless signal transmission was about 180 m. Test in dairy farming showed a significant correlation between the recorded values of the monitoring system and the manually measured pH value of the rumen liquid (r=0.961, P ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 35

Main heading: Monitoring

Controlled terms: Analog to digital conversion? - ?Controllers? - ?Gateways (computer networks)? - ?Internet protocols? - ?Lithium batteries? - ?Low power electronics? - ?Microcontrollers? - ?Operational amplifiers? - ?pH? - ?Temperature measurement ? - ?Wireless networks

Uncontrolled terms: Low-power microcontrollers? - ?Monitoring system? - ?pH value? - ?PH value monitoring? - ?Rumen? - ?Sub-1g wireless network? - ?Temperature monitoring? - ?Value measurements? - ?Wireless measurements? - ?Wireless transmissions

Classification code: 702.1.1 Primary Batteries? - ?713.1 Amplifiers? - ?716.3 Radio Systems and Equipment? - ?722.3 Data Communication, Equipment and Techniques? - ?723 Computer Software, Data Handling and Applications? - ?732.1 Control Equipment? - ?801.1 Chemistry, General? - ?944.6 Temperature Measurements

Numerical data indexing: Age 2.192E+00yr, Electric current 2.00E-01A, Frequency 3.15E+08Hz, Size 1.80E+02m, Time 6.00E+02s, Voltage 3.60E+00V

DOI: 10.6041/j.issn.1000-1298.2022.02.031

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

15. Effects of Sowing Date and Sowing Depth on Winter Wheat Growth before Overwintering

Accession number: 20221111788542

Title of translation:

Authors: Yan, Jintao (1); Feng, Liping (1); Li, Yang (1); Chen, Xianguan (1); Yu, Weidong (2)

Author affiliation: (1) College of Resources and Environmental Sciences, China Agricultural University, Beijing; 100193, China; (2) Henan Key Laboratory of Agro-meteorological Support and Applied Technique, China Meteorological Administration, Zhengzhou; 450003, China

Corresponding author: Feng, Liping(fenglp@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: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 327-335

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The climate change will lead to tremendous environmental risk. As a common agrometeorological disaster of winter wheat, the frequency and loss of low temperature and freezing injury are also significantly increased. In order to study the effect of different cultivation measurements on morphological indexes of winter wheat before overwintering, including leaf area per plant, main stem leaf age, tillering number, aboveground biomass, tillering node depth, stem length in the ground and plant height, the randomized block field trials with seven sowing dates (Oct 3, Oct 13, Oct 23 in 2015, and Sep 23, Oct 3, Oct 13, Oct 23 in 2016) and three horizontal seeding depths (2 cm, 4 cm and 6 cm) were carried out during 2015-2017, using ¡®Nongda211¡¯ as object at the Shangzhuang Experimental Station of China Agricultural University in Beijing. The gradient deep-sowing experiment with different sowing dates (Sep 23, 2016, Oct 3, 2016, Oct 13, 2016, and Oct 23, 2018, Nov 3, 2018) was further carried out to quantitatively simulate the depth of tillering node. The results of field experiment on sowing date and sowing depth showed that with the delaying sowing date, the leaf area, leaf age of main stem, tiller number of single plant and aboveground biomass of winter wheat were decreased significantly. With the deepening of sowing depth, the depth of tillering node, stem length in the ground and the height of plant were increased gradually. The sowing date, sowing depth and the interactive effects of sowing date and sowing depth all had significant impact on the tillering node depth of winter wheat. There was a linear relationship between the tillering node depth of winter wheat and the accumulated temperature before overwintering. As the sowing date was delayed, the tillering node depth was gradually increased. And the winter wheat tillering node depth and sowing depth showed a logarithmic curve. The tillering node depth was increased with the increase of depth of sowing. The quantitative relationship between the soil depth of tiller node and the effective accumulated temperature before winter was established with the experiment data of gradient seeding depth at different sowing dates. The results could provide a reference model for further study of freezing damage. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 36

Main heading: Crops

Controlled terms: Biomass? - ?Climate change? - ?Cultivation? - ?Ecology? - ?Freezing? - ?Plants (botany)? - ?Seed? - ?Temperature

Uncontrolled terms: Aboveground biomass? - ?Cold resistance? - ?Depth of tillering node? - ?Growth characteristic? - ?Leaf age? - ?Leaf area? - ?Sowing date? - ?Sowing depth? - ?Stem length? - ?Winter wheat

Classification code: 443.1 Atmospheric Properties? - ?454.3 Ecology and Ecosystems? - ?641.1 Thermodynamics? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products

Numerical data indexing: Size 2.00E-02m, Size 4.00E-02m, Size 5.842E-01m, Size 6.00E-02m

DOI: 10.6041/j.issn.1000-1298.2022.02.035

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

16. Water Variation of Deep Desiccation Soil in Loess Hilly Area under Typical Mulching

Accession number: 20221111788544

Title of translation:

Authors: Zhang, Kemeng (1); Wang, Xing (2); Wang, Youke (1); Li, Qun (1); Wu, Jiujiang (1); Zhang, Jingxiao (3)

Author affiliation: (1) College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling; 712100, China; (2) College of Agriculture, Ningxia University, Yinchuan; 750021, China; (3) Beijing Water Science and Technology Institute, Beijing; 100048, China

Corresponding author: Wang, Youke(gizwyk@vip.sina.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 336-345

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Soil desiccation is becoming more and more serious in hilly areas of the Loess Plateau, which has become an important factor restricting ecological restoration and reconstruction in the region. To find a solution to the ecological problem of dry soil remediation, a large-scale underground soil column with depth of 1 000 cm was planted in the field. Totally nine typical mulches were used on the surface of soil columns, separately for planting Robinia pseudoacacia, alfalfa, Caragana korshinskii, jujube and Poa pratensis, and covering stones, branches, ground cloth and white film. Taking bare soil column as control. Through the analysis of continuous observation data from 2014 to 2018, it was found that under natural precipitation conditions, infiltration depth of Robinia pseudoacacia, alfalfa, Caragana korshinskii and jujube was decreased to 100 cm, after the second year of the experiment, the soil moisture in column was in a negative growth state. In the fourth year (2017), the water content of 1 000 cm soil column was reduced by consumption, and the drying degree of the whole soil column was deepened, among them, that planted Robinia pseudoacacia was the most heavy, and that planted jujube was the lightest. Soil moisture in columns of jujube below 300 cm was not increased or consumed. The infiltration depth of Robinia pseudoacacia could reach 300 cm, the water consumption during the experiment was slightly less than that of the current year precipitation, which can alleviate the drying soil within 300 cm. The maximum restoration depths of covering stones, branches, ground cover and white film were 280 cm, 300 cm, 580 cm and 600 cm during the experiment, respectively. Until the fifth year, the mitigation depth of soil moisture covered with stones and branches reached 700 cm, and that covered with ground cover and white film reached 1 000 cm. Covering white film was the best of all. Under natural precipitation, the soil moisture mitigation depth of bare soil column reached 520 cm, and restoration depth reached 240 cm. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 28

Main heading: Soil moisture

Controlled terms: Driers (materials)? - ?Infiltration? - ?Restoration? - ?Soil conservation? - ?Water conservation? - ?Water supply

Uncontrolled terms: Bare soils? - ?Caragana Korshinskii? - ?Desiccation soil? - ?Hilly areas? - ?Mulching measures? - ?Robinia pseudo-acacia? - ?Soil column? - ?Soil desiccation index? - ?Soil desiccations? - ?Soil moisture remediation

Classification code: 444 Water Resources? - ?446.1 Water Supply Systems? - ?483.1 Soils and Soil Mechanics? - ?803 Chemical Agents and Basic Industrial Chemicals

Numerical data indexing: Size 0.00E00m, Size 1.00E00m, Size 2.40E+00m, Size 2.80E+00m, Size 3.00E+00m, Size 5.20E+00m, Size 5.80E+00m, Size 6.00E+00m, Size 7.00E+00m

DOI: 10.6041/j.issn.1000-1298.2022.02.036

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

17. Design and Test of Automatic Beam Leveling System for High-clearance Sprayer

Accession number: 20221111788535

Title of translation:

Authors: Yin, Xiang (1, 2); An, Jiahao (1); Wang, Xian (1); Wang, Yalin (1); Li, Jiaqi (1); Jin, Chengqian (1, 3)

Author affiliation: (1) School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo; 255049, China; (2) Shandong Provincial Key Laboratory of Dry-farming Machinery and Informatization, Zibo; 255049, China; (3) Nanjing Research Institute for Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing; 210014, China

Corresponding authors: Jin, Chengqian(412114402@qq.com); Jin, Chengqian(412114402@qq.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 98-105 and 115

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Since the ground surface is uneven in the field, the body of the high-clearance sprayer is prone to tilt in the rolling direction during operation and the spray beam tends to incline and even touches the crop or the ground, which is the potential of accident. Considering this problem, an automatic spray beam leveling system for the high-clearance sprayer was developed by using a mechatronics-hydraulic integrated control method. An electronically controlled hydraulic leveling mechanism was designed to connect with the spray bar through a hinged point that allowed rotation of the spray bar relative to the vehicle body in the rolling direction. The attitude measurement method was used to detect the roll angle of the beam in real time, and the average value of the roll angle was filtered to accurately sense the posture of the beam. An incremental PID algorithm was used to calculate and output signals to the solenoid valve to control the cylinder so that the spray beam was automatically adjusted in the roll direction. Taking the Huasheng Taishan 3WP-500G sprayer as the platform, the newly developed automatic spray beam leveling system was tested by changing the threshold and the average number of the filter, the system response rate, the control stability and error were analyzed, according to which the combination of parameters was optimized. The step results showed that the maximum value of the leveling error was 1.84¡ã, the root mean square error was no more than 0.689¡ã, and field results showed that the maximum value of the leveling error was 1.53¡ã, the average value was 0.135¡ã, and the root mean square error was no more than 0.5¡ã, the angle of the sprayer beam after leveling was within 1¡ã, and the angle was below 0.5¡ã for more than 70% of the time, which indicated that the automatic spray beam leveling system can meet the requirements of automatic beam leveling control. The research result can improve the operation quality and safety of the sprayer and also can provide a reference for the automatic leveling of the spray beam. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 21

Main heading: Errors

Controlled terms: Automobile bodies? - ?Mean square error? - ?Solenoid valves

Uncontrolled terms: Automatic beam leveling? - ?Average values? - ?Design and tests? - ?High-clearance sprayer? - ?Levelings? - ?PID? - ?Roll angle? - ?Rolling direction? - ?Root mean square errors? - ?Spraying beam

Classification code: 619 Pipes, Tanks and Accessories; Plant Engineering Generally? - ?662.4 Automobile and Smaller Vehicle Components? - ?922.2 Mathematical Statistics

Numerical data indexing: Percentage 7.00E+01%

DOI: 10.6041/j.issn.1000-1298.2022.02.010

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

18. Effects of Different Drying Methods on Properties of Leaf Protein-Capsaicin Microcapsules

Accession number: 20221111788730

Title of translation: -

Authors: Qin, Qingyu (1); Li, Yuyu (1); Li, Wenhu (1); Gao, Bing (1); Han, Lujia (1); Liu, Xian (1)

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

Corresponding author: Liu, Xian(lx@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: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 378-385

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Pepper leaves, which are rich in protein resources, have been buried and burned as agricultural wastes for a long time, causing serious environmental pollution and resource waste. At the same time, capsaicin, as a high-quality natural biological antibacterial substance, has restricted its development and application due to its strong pungent smell. Therefore, based on the method of microcapsule technology, the protein extracted from the leaves of the plant pepper was used as the wall material and capsaicin as the core material. The leaf protein capsaicin microcapsules were prepared by spray drying (SD) and vacuum freeze drying (FD) methods, and the SEM and X-ray diffractometer (XRD), Fourier transform infrared (FITR) spectrometer, thermogravimetric (TG) analyzer, laser particle size analyzer and high performance liquid chromatography (HPLC) technology were used to characterize the physical and chemical properties of leaf protein, capsaicin and their microcapsules under different drying methods. The SEM results showed that the microcapsules had significant differences in their microstructures under different drying methods. The microstructures under SD were spherical and complete, while under FD were sheet-like structures with different shapes. XRD analysis showed that the microcapsules all showed characteristic peaks of diffusion diffraction pattern by different drying methods, which proved that capsaicin was completely loaded into leaf protein, and no crystals were formed during sample preparation. FTIR analysis showed that no new chemical bond was produced in capsaicin embedding under different drying methods, and no chemical reaction occurred with leaf protein. TG analysis showed that the thermal stability of microcapsules obtained by different drying methods was improved, and the thermal stability of leaf protein was lower than that of capsaicin, which guaranteed the successful release of capsaicin. The particle size analysis showed that the D90 of the microcapsule powder prepared by SD method was 70.2 ¦Ìm, which was significantly smaller than the particle size of the microcapsules in the FD mode, and it was easier to release the embedded matter. The embedding rate of microcapsules was 90.38% and 85.43% respectively under SD and FD conditions, which indicated that SD method had excellent properties for the preparation of leaf protein-capsaicin microcapsules. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 33

Main heading: Microstructure

Controlled terms: Embeddings? - ?Finite difference method? - ?Fourier series? - ?Fourier transform infrared spectroscopy? - ?High performance liquid chromatography? - ?Particle size? - ?Particle size analysis? - ?Plants (botany)? - ?Proteins? - ?Spray drying ? - ?Thermodynamic stability? - ?X ray diffraction

Uncontrolled terms: Capsaicin? - ?Drying methods? - ?Environmental resources? - ?Freeze drying? - ?Leaf proteins? - ?Microcapsules? - ?Property? - ?Spray-drying? - ?Spray-drying method? - ?X ray diffractometers

Classification code: 641.1 Thermodynamics? - ?723.4 Artificial Intelligence? - ?801 Chemistry? - ?804.1 Organic Compounds? - ?921.3 Mathematical Transformations? - ?921.6 Numerical Methods? - ?951 Materials Science

Numerical data indexing: Percentage 8.543E+01%, Percentage 9.038E+01%, Size 7.02E-05m

DOI: 10.6041/j.issn.1000-1298.2022.02.040

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

19. Dynamics Research on Front Wheel Steering of Agricultural Flexible Chassis

Accession number: 20221111788513

Title of translation:

Authors: Zhou, Fuyang (1); Guo, Kangquan (1); Zhang, Xinyue (1); Jia, Yihan (1); Shu, Chengyong (1)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling; 712100, China

Corresponding author: Guo, Kangquan(jdgkq@nwafu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 401-411

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The agricultural flexible chassis (FC) is a four wheel hub motor independent drive, and four wheel omni-directional independent steering chassis. Its structure is very simple, even the steering motors used in the ordinary steer-by-wire system are cancelled. It steers through an offset steering shaft mechanism. It is very flexible and can realize special movements such as four-wheel steering, in-situ turning and lateral driving. The four independent electric wheels are used for both driving and steering, which increases the difficulty of control. In order to explore the steering characteristics of the front wheel steering process, a seven degree of freedom vehicle dynamics model was established. Based on this model, combined with the control system, a simulation model capable of interactive control was established through Matlab/Simulink software. Simulation and analysis of single-wheel drive steering and two-wheel proportional control steering at multiple vehicle velocity were carried out. Electronic control hardware and software systems of actual vehicle were designed. According to the steering characteristics obtained by the simulation and the control characteristics of the in-wheel motor, a control method was developed. Real vehicle steering tests at multiple vehicle velocity were carried out and corresponding simulations were performed. There was a strong coupling effect between the two steering wheels. The key factor causing the coupling effect was the tire aligning torques caused by the deviation of the steering angle of the two wheels from the Ackerman steering geometry, and this aligning torques prevent the deviation. The greater the deviation was, the greater the aligning torque was, and vice versa. The front wheel steering system had strong nonlinearity. When the steering angle was the same, the wheel drive torque required during the steering process was proportional to the square of the vehicle velocity. The simulation results of steering were in good agreement with the measured results. This research can provide a simulation platform and theoretical basis for the research and formulation of general control strategies for front-wheel steering. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Degrees of freedom (mechanics)

Controlled terms: Automobile steering equipment? - ?Chassis? - ?MATLAB? - ?Simulation platform? - ?Steering? - ?Torque? - ?Vehicle wheels? - ?Velocity

Uncontrolled terms: Coupling effect? - ?Dynamic researches? - ?Dynamics models? - ?Flexible chassi? - ?Front-wheel steering? - ?Steering angles? - ?Steering characteristics? - ?Test? - ?Vehicle velocity? - ?Wheel drives

Classification code: 601.2 Machine Components? - ?662.4 Automobile and Smaller Vehicle Components? - ?663.2 Heavy Duty Motor Vehicle Components? - ?723.5 Computer Applications? - ?921 Mathematics? - ?931.1 Mechanics? - ?931.2 Physical Properties of Gases, Liquids and Solids

DOI: 10.6041/j.issn.1000-1298.2022.02.043

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

20. Design and Experiment of Wide-boundary Seldom-tillage Wheat Planter with Soil-shunting Function

Accession number: 20221111788518

Title of translation:

Authors: Zheng, Kan (1, 2); Liu, Guoyang (1); Guo, Liwei (1); Cheng, Jian (1); Xia, Junfang (1, 2); Li, Yufei (1, 2)

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

Corresponding authors: Xia, Junfang(xjf@mail.hzau.edu.cn); Xia, Junfang(xjf@mail.hzau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 128-138

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: To realize the demand of wide-boundary wheat sowing with seldom-tillage in the middle and lower reaches of Yangtze River agricultural zone, a wide-boundary seldom-tillage wheat planter with soil-shunting function was designed based on the regional wheat growing agronomic characteristics. By analyzing the structure of the seed covering device and kinematics of soil particle, the structural parameters of the blade roller were designed and the kinematic requirements of seed covering were obtained. The structure and dynamics of the uniform distribution device for furrow soil and force and velocity analysis of soil particles under the spiral blade were analyzed to design the uniform distribution device structural parameters. The key factors affecting the sowing depth and stability were clarified, including the termination spiral pole diameter, pitch and spiral blade speed. Using the sowing depth qualification rate and sowing depth stability coefficient as the evaluation index, the regression equation of sowing depth qualification rate and sowing depth stability coefficient was established by using discrete element simulation combined with central combination orthogonal experiment. The optimal combination of parameters was obtained as follows, the termination spiral pole diameter, pitch and spiral blade speed were 119 mm, 140 mm and 98 r/min, respectively. Under the optimal combination of parameters, the seed depth qualification rate was 86.38% and the seed depth stability coefficient was 78.84%. The field experiment results in two modes with and without straw showed that the operation of the machine was stable, the quality of the furrow met the later growth and drainage needs of wheat, the sliding rate of the pressing roller was good, and the stubble and straw did not entangle or block the seeder during the experiment. Under the two modes, the sowing depth qualification rates were 83.12% and 80.67%, and the seed depth stability coefficients were 74.78% and 72.25%, respectively, which satisfied the agronomic requirements. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Soils

Controlled terms: Agricultural machinery? - ?Agronomy? - ?Kinematics? - ?Poles? - ?Stability

Uncontrolled terms: Distribution devices? - ?Seldom-tillage? - ?Soil particles? - ?Soil-shunting? - ?Spiral blades? - ?Stability coefficient? - ?Structural parameter? - ?Uniform distribution? - ?Wheat planter? - ?Wide-boundary

Classification code: 408.2 Structural Members and Shapes? - ?483.1 Soils and Soil Mechanics? - ?821.1 Agricultural Machinery and Equipment? - ?821.3 Agricultural Methods? - ?931.1 Mechanics

Numerical data indexing: Angular velocity 1.6366E+00rad/s, Percentage 7.225E+01%, Percentage 7.478E+01%, Percentage 7.884E+01%, Percentage 8.067E+01%, Percentage 8.312E+01%, Percentage 8.638E+01%, Size 1.19E-01m, Size 1.40E-01m

DOI: 10.6041/j.issn.1000-1298.2022.02.013

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

21. Design and Experiment of Connection Device of Duplex Straw Crushing Returning and Soil Preparation Machine

Accession number: 20221111788773

Title of translation:

Authors: Sun, Ni¡¯na (1); Wang, Xiaoyan (2)

Author affiliation: (1) College of Transportation, Ludong University, Yantai; 264025, China; (2) 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: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 15-24 and 87

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In the rice planting area of Northeast China, the large amount of rice straw with low moisture content was tough to crush, and the poor quality of straw crushing and scattering would seriously affect the quality of subsequent soil preparation. In order to meet the demand of soil preparation for straw returning and reduce the number of machine tools under the ground operation, the connection device which could combine the straw crushing returning and soil preparation were designed. According to the characteristics of the duplex operation machine, the interaction and matching between straw crushing and ploughing were considered in the design process. The connection device were analyzed theoretically from three motion planes: horizontal vertical surface, longitudinal vertical surface and level surface, and the reliability of the connection device were analyzed by simulation. Through theoretical analysis, the width matching of horizontal vertical surface, the position matching of longitudinal vertical surface and the dynamics matching of level surface were studied. According to the connection parameters obtained from theoretical analysis, the structure of the connection device was designed. The static analysis and dynamic analysis of the key connecting device were carried out by ANSYS Workbench, and the device were designed to meet the requirements of strength and reliability in the transportation state. The field experiments of duplex operation and section operation showed that the duplex operation machine could achieve the working stability of the plough. The experiments showed that the average ploughing depth was 17.3 cm, the stability of ploughing depth was 91.2%, the average ploughing width was 119.2 cm, and the stability of ploughing width was 93.6%. The vegetation coverage rate of duplex operation was 95.7%, and that of section operation was 98.3%, which was no significant difference between them. Moreover, the fuel consumption of duplex operation was less than that of section operation, and the fuel consumption could be saved by 3.15 kg/hm2. The research result can provide reference for the development and interactivity design of connection device of duplex operation machine. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 33

Main heading: Crushing

Controlled terms: Machine tools? - ?Reliability analysis? - ?Soils

Uncontrolled terms: Connection device? - ?Duplex operation machine? - ?Large amounts? - ?Matchings? - ?Northeast China? - ?Planting areas? - ?Rice straws? - ?Soil preparation? - ?Straw crushing returning? - ?Vertical surface

Classification code: 483.1 Soils and Soil Mechanics? - ?603.1 Machine Tools, General

Numerical data indexing: Mass 3.15E+00kg, Percentage 9.12E+01%, Percentage 9.36E+01%, Percentage 9.57E+01%, Percentage 9.83E+01%, Size 1.192E+00m, Size 1.73E-01m

DOI: 10.6041/j.issn.1000-1298.2022.02.002

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

22. Classification of Agricultural Plastic Cover Based on Multi-kernel Active Learning and Multi-source Data Fusion

Accession number: 20221111788758

Title of translation:

Authors: Feng, Quanlong (1, 2); Niu, Bowen (1, 2); Zhu, Dehai (1, 2); Liu, Yiming (3); Ou, Cong (1, 2); Liu, Jiantao (4)

Author affiliation: (1) College of Land Science and Technology, China Agricultural University, Beijing; 100083, China; (2) Key Laboratory for Agricultural Land Quality Monitoring and Control, Ministry of Natural Resources, Beijing; 100193, China; (3) China Mobile Group Guangdong Co., Ltd., Guangzhou; 510623, China; (4) School of Surveying and Geo-Informatics, Shandong Jianzhu University, Ji¡¯nan; 250101, China

Corresponding authors: Zhu, Dehai(zhudehai@cau.edu.cn); Zhu, Dehai(zhudehai@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: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 177-185

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: An agricultural plastic covering classification algorithm was proposed based on multi-kernel active learning to achieve accurate classification of agricultural greenhouses and mulch film by introducing multi-source and multi-temporal satellite remote sensing data, and their spectral features and texture features were firstly extracted to construct a multi-dimensional feature space based on the multi-temporal Sentinel-1 radar and Sentinel-2 optical remote sensing data. And then, a multi-kernel learning model was constructed to realize the adaptive fusion of multi-source and multi-temporal features. Finally, a pool-based active learning strategy is constructed to further improve the generalization ability of the classification model by introducing an elimination mechanism for training samples. The test results showed that the overall accuracy of the proposed classification method was 95.6%, the Kappa coefficient was 0.922. Compared with that of the classic SVM, random forest, KNN, decision tree, AdaBoost model, the accuracy of the active learning model was improved by 5.7, 12.1, 11.4, 22.3 and 10.3 percentage points. And under the same classification accuracy, active learning can reduce more than half of the label data than passive learning. The accuracy was improved by 3.7 and 12.7 percentage points, respectively, compared with using only single-phase and single-sensor remote sensing images. The research results showed that multi-kernel active learning can effectively perform multi-sensor and multi-temporal data fusion, and can achieve high classification accuracy under small sample conditions. It can provide model reference for remote sensing monitoring of agricultural plastic cover. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 38

Main heading: Remote sensing

Controlled terms: Adaptive boosting? - ?Agriculture? - ?Classification (of information)? - ?Decision trees? - ?Image classification? - ?Image enhancement? - ?Sensor data fusion? - ?Space optics? - ?Support vector machines? - ?Textures

Uncontrolled terms: Active Learning? - ?Agricultural plastic cover? - ?Agricultural plastics? - ?Multi-kernel? - ?Multi-kernel active learning? - ?Multi-source remote sensing data? - ?Multi-Sources? - ?Plastic covers? - ?Remote sensing data? - ?Remote sensing imagery ? - ?Remote sensing imagery classification

Classification code: 656.1 Space Flight? - ?716.1 Information Theory and Signal Processing? - ?723 Computer Software, Data Handling and Applications? - ?723.2 Data Processing and Image Processing? - ?741.1 Light/Optics? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?903.1 Information Sources and Analysis? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory? - ?961 Systems Science

Numerical data indexing: Percentage 9.56E+01%

DOI: 10.6041/j.issn.1000-1298.2022.02.018

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

23. Inversion Method of Sugarcane Plant Height Based on Sentinel-1A Dual-polarization Time Series Data

Accession number: 20221111788772

Title of translation: Sentinel-1A

Authors: Sun, Sheng (1); Liu, Lilu (1); Hu, Zhongwen (2); Yu, Xu (3)

Author affiliation: (1) School of Computer Science and Technology, Guangdong University of Technology, Guangzhou; 510006, China; (2) Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Ministry of Natural Resources, Shenzhen University, Shenzhen; 518000, China; (3) School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou; 510006, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 186-194

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Sugarcane plant height is a comprehensive reflection of soil, meteorology, hydrology and other factors, and it is also an important index for sugarcane growth monitoring and yield estimation. Based on the climate and weather conditions in South China, the dual-pol radar vegetation index (DPRVI) was obtained by preprocessing, matrix transformation and Cloude-Pottier decomposition of the time series Sentinel-1A data of 23 landscapes covering the whole growth period of sugarcane. The dynamic changes of this index and sugarcane growth parameters (plant height) with different growth periods of sugarcane were analyzed. Then four classic empirical regression models (linear, quadratic polynomial, exponential and logarithmic) were used to invert the height of sugarcane plants in different growth periods in the form of piecewise function to establish the best inversion model. Through the experimental results, it can be found that the fitting model had the highest correlation before the tillering stage, and the quadratic polynomial model had the best fitting effect. The determination coefficient R2 and the root mean square error were 0.882 and 0.118 cm, respectively. Then the quadratic function model with the best inversion effect before tillering stage was verified and analyzed. The results showed that the determination coefficient R2 was up to 0.839, and the average absolute deviation was 7.4%, which indicated that the model could better guarantee the accuracy of predicting plant height by using DPRVI. Finally, DPRVI was compared and analyzed with other three classical remote sensing parameters. The results showed that the performance of DPRVI was better than that of the other three parameters. Through the analysis, it was concluded that DPRVI can better invert the change of plant height in the early growth stage of sugarcane, and the parameters of plant height can be used as a reference for agricultural management departments. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 32

Main heading: Regression analysis

Controlled terms: Inverse problems? - ?Linear transformations? - ?Mean square error? - ?Metadata? - ?Radar? - ?Remote sensing? - ?Time series? - ?Vegetation

Uncontrolled terms: Dual polarization radars? - ?Dual-polarization radar vegetation index? - ?Growth period? - ?Plant height? - ?Plant height inverse? - ?Quadratic polynomial? - ?Sentinel-1a? - ?Sugarcane? - ?Time-series data? - ?Vegetation index

Classification code: 716.2 Radar Systems and Equipment? - ?921.3 Mathematical Transformations? - ?922.2 Mathematical Statistics

Numerical data indexing: Electric current -1.00E00A, Percentage 7.40E+00%, Size 1.18E-03m, Size 8.82E-03m

DOI: 10.6041/j.issn.1000-1298.2022.02.019

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

24. Design and Experiment of Unmanned Operation Cooperative Control System for Tractor Operating Unit

Accession number: 20221111788722

Title of translation:

Authors: Yang, Yang (1, 2); Zha, Jiayi (1); Li, Yankai (1); Wang, Weiwei (1, 2); Xu, Liangyuan (1); Chen, Liqing (1, 2)

Author affiliation: (1) College of Engineering, Anhui Agricultural University, Hefei; 230036, China; (2) Institute of Artificial Intelligence, Hefei Comprehensive National Science Center (Anhui Artificial Intelligence Laboratory), Hefei; 230036, China

Corresponding authors: Chen, Liqing(lqchen@ahau.edu.cn); Chen, Liqing(lqchen@ahau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 421-429

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to improve the intelligent level of unmanned operation of tractor operating unit and realize the cooperative control of lateral movement, longitudinal movement and tool lifting operation of tractor operating unit, a cooperative control system for unmanned operation was designed. Taking the seeding operation unit as the research object, the unmanned operation cooperative control system of tractor unit was divided into planning layer, decision layer and execution layer. In combination with the agronomic requirements of seeding and the kinematics characteristics of the tractor operating unit, the planning layer used longitude/latitude coordinates to plan the operation path. In order to meet the path tracking of both the straight line segments operation area and the turning curve area, an adaptive preview path tracking control algorithm was proposed. Decision layer formulated the unmanned operation joint control strategy of tractor operating unit to realize the precise control of tractor-planter joint operation. Execution layer was used for hardware control design to the tractor steering, lifting, throttle, brake, clutch and other mechanisms. On this basis, the unmanned seeding operation simulation and field experiments were carried out respectively, and the simulation results verified the feasibility of the unmanned operation cooperative control system for tractor seeding unit. Field experiments showed that the steering, throttle, clutch, brake and tool lifting of the tractor worked together strictly according to the control instructions made by the planning layer and the decision layer. In the experiment process, the average error of steering control was 0.45¡ã, the mean of lateral error of straight line segments was 0.035 m, and the maximum of lateral error of turning section was 0.11 m. The lifting response time was 1.2 s, and the overshoot of lifting angle was less than 1.5¡ã. Throttle, brake and clutch were all operated according to the decision instruction. Unmanned operation cooperative control system met the requirement of unmanned operation of tractor unit and provided technical support for unmanned farm. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Control systems

Controlled terms: Brakes? - ?Clutches? - ?Errors? - ?Motion planning? - ?Tractors (agricultural)? - ?Tractors (truck)

Uncontrolled terms: Co-operative control? - ?Decision layers? - ?Field experiment? - ?Intelligent level? - ?Lateral movement? - ?Operating units? - ?Path tracking? - ?Straight-line segments? - ?Tractor units? - ?Unmanned operation

Classification code: 602 Mechanical Drives and Transmissions? - ?602.2 Mechanical Transmissions? - ?663.1 Heavy Duty Motor Vehicles? - ?731.1 Control Systems? - ?821.1 Agricultural Machinery and Equipment

Numerical data indexing: Size 1.10E-01m, Size 3.50E-02m, Time 1.20E+00s

DOI: 10.6041/j.issn.1000-1298.2022.02.045

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

25. Prediction Model of Wheat Straw Moisture Content Based on SPA-SSA-BP

Accession number: 20221111788524

Title of translation: SPA-SSA-BP

Authors: Meng, Zhijun (1, 2); Liu, Huaiyu (1, 2); An, Xiaofei (2, 3); Yin, Yanxin (2, 3); Jin, Chengqian (4); Zhang, Anqi (2, 3)

Author affiliation: (1) College of Engineering, Heilongjiang Bayi Agricultural University, Daqing; 163319, China; (2) National Research Center of Intelligent Equipment for Agriculture, Beijing; 100097, China; (3) Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing; 100097, China; (4) Nanjing Research Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing; 210014, China

Corresponding authors: Zhang, Anqi(zhangaq@nercita.org.cn); Zhang, Anqi(zhangaq@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: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 231-238 and 245

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to improve the detection accuracy of the wheat straw moisture content prediction model based on capacitance method, expand the detection range of moisture content and improve the adaptability of the model, taking wheat straw as the research object and using LCR digital bridge, the capacitance data of straw with 10.43%~25.89% moisture content were measured in the frequency range of 0.05~100 kHz, volume density range of 90.03~179.42 kg/m3 and temperature range of 25~40. The original data were preprocessed by using the successive projections algorithm (SPA) and principal component analysis (PCA) to extract characteristic frequencies, BP neural network was used to establish quantitative analysis models of straw moisture content, volume density, temperature and capacitance at full frequency and two characteristic frequencies respectively, and sparrow search algorithm (SSA) was introduced to optimize the BP neural network model. The experimental results showed that the prediction effect of the model based on full frequency was slightly better than that of the model based on SPA algorithm. Considering the model complexity and prediction performance, the BP neural network model (SPA-SSA-BP) optimized based on SPA algorithm and SSA algorithm was selected as the prediction model of wheat straw moisture content. The RP2, RMSEP and RPDP of prediction sets were 0.983 2, 0.005 50 and 7.715, respectively. The model was used to predict 13 straw samples with water content ranging from 10.62% to 25.59%, and the relative error of water content prediction results was within -5.27% to 5.52%, 96.8% of which was within ¡À5%. This showed that the model had high accuracy and good robustness, and the method can provide an idea and theoretical reference for other crop straw water content prediction. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 27

Main heading: Capacitance

Controlled terms: Forecasting? - ?Learning algorithms? - ?Moisture? - ?Moisture determination? - ?Neural networks? - ?Principal component analysis? - ?Straw

Uncontrolled terms: %moisture? - ?Characteristic-frequency? - ?Model-based OPC? - ?Prediction modelling? - ?Search Algorithms? - ?Sparrow search algorithm? - ?Successive projections algorithm? - ?Volume density? - ?Wheat? - ?Wheat straws

Classification code: 701.1 Electricity: Basic Concepts and Phenomena? - ?723.4.2 Machine Learning? - ?821.5 Agricultural Wastes? - ?922.2 Mathematical Statistics? - ?944.2 Moisture Measurements

Numerical data indexing: Frequency 5.00E+01Hz to 1.00E+05Hz, Linear density 9.003E+01kg/m to 1.7942E+02kg/m, Percentage -5.27E+00%, Percentage 1.043E+01%, Percentage 1.062E+01% to 2.559E+01%, Percentage 2.589E+01%, Percentage 5.00E+00%, Percentage 5.52E+00%, Percentage 9.68E+01%

DOI: 10.6041/j.issn.1000-1298.2022.02.024

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

26. Multi-source Phenotypic Information Collection and Analysis Techniques for Drought Resistance of Plants

Accession number: 20221111788757

Title of translation:

Authors: Zhang, Huichun (1); Yang, Kunqi (1); Li, Yangxian (1); Bian, Liming (2, 3); Hao, Mingzhuo (2, 3)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing; 210037, China; (2) College of Forestry Institute, Nanjing Forestry University, Nanjing; 210037, China; (3) Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing; 210037, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 203-211

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The phenotypic information acquisition system can be used to obtain the morphological structure, physiological and biochemical data of plants under different growth environments, so as to study the response of plants to different stresses, and carry out resistance breeding and selection of high-quality varieties. A multi-source phenotypic information acquisition system composed of dual CCD camera, infrared thermal image, water control module, weighing module, light source, etc., was constructed. The phenotypic parameters were extracted by using the target detection algorithm of YOLO v3 and image processing algorithm, such as projected leaf area, plant height, number of leaves and canopy temperature of plants. Using Salix suchowensis Cheng as the research object, drought stress test was carried out and correlation analysis was carried out. The results showed that the plant height, projected leaf area, daily water consumption and water use efficiency of dustpan under drought stress were significantly lower than those under normal water treatment over time. Through correlation analysis, it can be concluded that the projected leaf area of Salix suchowensis Cheng presented a positive linear correlation with its fresh weight and dry weight, and the determination coefficients were 0.89 and 0.78, respectively. There was a positive correlation between plant fresh weight and plant dry weight, and the determination coefficient was 0.76. There was a positive correlation between the cutting days and the average canopy temperature difference, and the determination coefficient was 0.79. The difference of daily water consumption was positively correlated with the number of days after cutting, and the determination coefficient was 0.84. The canopy temperature difference was positively correlated with the daily water consumption difference, and the determination coefficient was 0.85. By collecting plant phenotypic parameter information from multiple sources and carrying out association analysis, a feasible technique was provided for real-time and continuous assessment of plant growth-related parameters under drought stress, which can guide the application of water in resistant species and the rapid screening of drought-resistant genotypes. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 26

Main heading: Drought

Controlled terms: CCD cameras? - ?Correlation methods? - ?Image processing? - ?Light sources? - ?Physiological models? - ?Plants (botany)? - ?Water treatment

Uncontrolled terms: Acquisition systems? - ?Canopy temperature? - ?Correlation analysis? - ?Determination coefficients? - ?Drought stress? - ?Information acquisition system? - ?Leaf area? - ?Multi-Sources? - ?Plant phenotypic information? - ?Water consumption

Classification code: 443.3 Precipitation? - ?444 Water Resources? - ?445.1 Water Treatment Techniques? - ?714.2 Semiconductor Devices and Integrated Circuits? - ?723.2 Data Processing and Image Processing? - ?742.2 Photographic Equipment? - ?922.2 Mathematical Statistics

DOI: 10.6041/j.issn.1000-1298.2022.02.021

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

27. Target Detection Model of Corn Weeds in Field Environment Based on MSRCR Algorithm and YOLOv4-tiny

Accession number: 20221111788532

Title of translation: MSRCR-YOLOv4-tiny

Authors: Liu, Mochen (1, 2); Gao, Tiantian (1); Ma, Zongxu (1); Song, Zhanhua (1, 3); Li, Fade (1, 3); Yan, Yinfa (1, 2)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai¡¯an; 271018, China; (2) Shandong Engineering Laboratory of Agricultural Equipment Intelligence, Tai¡¯an; 271018, China; (3) Shandong Provincial Key Laboratory of Horticultural Machinery and Equipment, Tai¡¯an; 271018, China

Corresponding authors: Yan, Yinfa(sd28@163.com); Yan, Yinfa(sd28@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 246-255 and 335

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: To solve the problem of low accuracy and poor real-time performance of weed recognition in corn field, a detection method of weed based on multi-scale retinex with color restoration (MSRCR)and improved YOLOv4-tiny algorithm was proposed. Firstly, according to the image characteristics of weed in corn field environment, the MSRCR algorithm was used for image feature enhancement preprocessing to improve the image contrast and detail quality. Then, Mosaic online data augmentation method was used to enrich the object detection background, improve the training efficiency and the detection accuracy of small objects. Finally, The K-means++ was used for a priori anchor boxes clustering analysis and channel pruning for the YOLOv4-tiny model. The total parameters of the improved and simplified model were reduced by 45.3%, the model size was reduced by 45.8%, the mean average precision(mAP)was increased by 2.5 percentage points, and the average detection frame time on the Jetson Nano embedded platform was reduced by 22.4%. The proposed Prune-YOLOv4-tiny model was compared with Faster RCNN, YOLOv3-tiny, and YOLOv4, the experimental results showed that the mAP of the Prune-YOLOv4-tiny model was 96.6%, which was 22.1 percentage points and 3.6 percentage points higher than that of the Faster RCNN and YOLOv3-tiny, and 1.2 percentage points lower than that of the YOLOv4 model; the model size of the Prune-YOLOv4-tiny was 12.2 MB, which was 3.4% of the Faster RCNN, 36.9% of the YOLOv3-tiny, and 5% of the YOLOv4; the average detection frame time on the Jetson Nano embedded platform was 131 ms, which was 32.1% of the YOLOv3-tiny and 7.6% of YOLOv4. The optimization method proposed was superior to other commonly used object detection algorithms in model size, detection time and detection accuracy, which could provide a feasible real-time weed recognition method for the field precision weeding system with limited hardware resources. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 34

Main heading: Restoration

Controlled terms: Image enhancement? - ?Object detection? - ?Object recognition

Uncontrolled terms: Color restoration? - ?Embedded device? - ?Enhancement algorithms? - ?Model pruning? - ?Model size? - ?Multi-scale Retinex? - ?Multi-scale retinex with color restoration enhancement algorithm? - ?Percentage points? - ?Weed recognition? - ?YOLOv4-tiny model

Classification code: 723.2 Data Processing and Image Processing

Numerical data indexing: Percentage 2.24E+01%, Percentage 3.21E+01%, Percentage 3.40E+00%, Percentage 3.69E+01%, Percentage 4.53E+01%, Percentage 4.58E+01%, Percentage 5.00E+00%, Percentage 7.60E+00%, Percentage 9.66E+01%, Time 1.31E-01s

DOI: 10.6041/j.issn.1000-1298.2022.02.026

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

28. Design and Experiment of Shallow Buried Laying Device for Drip Irrigation Belt of Corn Seeder

Accession number: 20221111788740

Title of translation:

Authors: Diao, Peisong (1); Zhao, Dianbao (1); Yao, Wenyan (1); Pang, Huanxiao (1); Wang, Wenjun (1); Jiang, Chao (2)

Author affiliation: (1) School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo; 255049, China; (2) Shandong Yawo Agricultural Machinery Co., Ltd., Yantai; 261400, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 88-97

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In the process of laying drip irrigation belt, it is prone to appear relaxation and congestion of the belt when the seeder stops in an emergency, and the laying device has poor adaptability to field surface. In order to solve the problems, a shallow buried laying device for drip irrigation belt with automatic locking function was designed, which was suitable for corn seeder. The device can lock the drip irrigation belt coil in time when the seeder was shut down in an emergency, and prevent the phenomenon of drip irrigation belt winding and accumulation effectively. And it can realize shallow buried laying by copying and ensure the depth consistency of drip irrigation belt. The shaft did not appear resonance phenomenon under the normal operation condition through the modal analysis of the reel shaft of drip irrigation belt. The theoretical analysis and calculation of hydraulic brake device was carried out, and the key factors affecting the overflow amount of drip irrigation belt were determined. The working parameters of the parallel four-bar mechanism and the spring were designed, and the terrain adaptability can be improved through the joint operation with the copying wheel. The designed leveling shovel can compress and reshape the shape of the ditch bottom opened by the double disc ditch opener, providing a superior ditch bottom environment for shallow buried drip irrigation. Field experiments showed that when the forward speed of seeder was 4~6 km/h, the qualified rate of the depth laid by the shallow-buried laying device was 93.0%, the variation coefficient of laying depth was 22.3%, and the amount of covering soil was 619.5 g. In the process of operation, drip irrigation belt transportation was smooth. When the tractor stopped in an emergency, the automatic locking device of drip irrigation belt transportation can be braked in time to eliminate the accumulation and winding phenomenon of drip irrigation belt. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 27

Main heading: Irrigation

Controlled terms: Locks (fasteners)? - ?Mechanisms? - ?Modal analysis? - ?Winding

Uncontrolled terms: Analysis and calculations? - ?Automatic locking? - ?Corn seede? - ?Drip irrigation? - ?Drip irrigation belt? - ?Normal operations? - ?Operation conditions? - ?Resonance phenomenon? - ?Shallow buried? - ?Shallow buried laying

Classification code: 601.3 Mechanisms? - ?691.2 Materials Handling Methods? - ?821.3 Agricultural Methods? - ?921 Mathematics

Numerical data indexing: Mass 6.195E-01kg, Percentage 2.23E+01%, Percentage 9.30E+01%, Size 4.00E+03m to 6.00E+03m

DOI: 10.6041/j.issn.1000-1298.2022.02.009

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

29. Design and Test on Mixing Component of Air-assisted Centralized Metering Device for Rapeseed and Wheat

Accession number: 20221111788537

Title of translation:

Authors: Wang, Lei (1, 2); Liao, Yitao (1, 2); Wan, Xingyu (1, 2); Wang, Baoshan (1, 2); Hu, Qiaolei (1, 2); Liao, Qingxi (1, 2)

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

Corresponding authors: Liao, Qingxi(liaoqx@mail.hzau.edu.cn); Liao, Qingxi(liaoqx@mail.hzau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 68-79 and 97

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Considering the problem that the pressure gradient change direction in mixing component does not match with seed conveying direction during seeding process, causing backflow and counterflow of seeds, which leads to each row seeding uniformity of centralized metering lower, a prototype of mixing component based on Venturi principle was developed. The main structure and key parameters of the Venturi mixing seed chamber and conveying seed tube were determined. The effects of airflow velocity, seed velocity, and structure of mixing component on total pressure loss were analyzed. The DEM-CFD coupled simulation was used to compare and analyze the effects of three kinds of conveying seed tube and two kinds of Venturi mixing seed chamber on seed migration trajectory, airflow pressure distribution and conveying seed performance. The simulation results showed that the combination of Venturi mixing seed chamber with accelerating mixing section and the conveying seed tube with elbow joint had better conveying seed performance, and the variation coefficient of seed quantity consistency of each area for rapeseed and wheat in the vertical section of conveying seed tube was 9.63% and 13.43%, respectively. The intelligent test platform for planting machines was used to carry out the test of the effect of better combination of mixing component on the seeding performance. The bench test results indicated that the backflow rate of rapeseed was less than 3.2%, there was no counterflow of rapeseed, and backflow and counterflow of wheat seed. The uniformity variation coefficient of seeding quality of rapeseed and wheat was less than 5% and 3.9%, respectively. The stability variation coefficient of total seeding quality of rapeseed and wheat was less than 1.15%% and 1.35%, respectively, which met the performance requirements of rapeseed and wheat seeding. The research can provide a reference for the structure improvement of the mixing component of air-assisted centralized metering device. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Air

Controlled terms: Conveying? - ?Mixing? - ?Oilseeds? - ?Tubes (components)

Uncontrolled terms: Air-assisted centralized metering device? - ?Back flow? - ?Centralised? - ?DEM-CFD? - ?Metering devices? - ?Mixing component? - ?Rapesed and wheat? - ?Seed chambers? - ?Venturi mixing? - ?Venturi mixing seed chamber

Classification code: 619.1 Pipe, Piping and Pipelines? - ?692.1 Conveyors? - ?802.3 Chemical Operations? - ?804 Chemical Products Generally? - ?821.4 Agricultural Products

Numerical data indexing: Percentage 1.15E+00%, Percentage 1.343E+01%, Percentage 1.35E+00%, Percentage 3.20E+00%, Percentage 3.90E+00%, Percentage 5.00E+00%, Percentage 9.63E+00%

DOI: 10.6041/j.issn.1000-1298.2022.02.007

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

30. Design and Test of Varying Temperature Mixing Device on Paddy Rice Drying

Accession number: 20221111788768

Title of translation:

Authors: Che, Gang (1, 2); Wang, Hongchao (1, 2); Wan, Lin (1, 2); Wang, Xin (1, 2); Tang, Hao (3); Zhang, Chengxu (1)

Author affiliation: (1) College of Engineering, Heilongjiang Bayi Agricultural University, Daqing; 163319, China; (2) Heilongjiang Provincial Key Laboratory of Intelligent Agricultural Machinery Equipment, Daqing; 163319, China; (3) The Great Northern Wilderness State Farms Group Co., Ltd., Harbin; 150030, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 386-392 and 411

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Drying is a necessary post-harvest handling aspect of the grain and directly determines the final economic benefit of the grain. In order to solve the need for rapid temperature adjustment in the process of grain drying and the great fluctuate of heat source, a coaxial side-entry shell-shaped temperature-variable drying and mixing device was designed to cooperate with the variable-temperature control of the negative pressure dryer. In order to achieve high-efficiency and uniform air mixing, the guide vanes distribute cold air in the air rotating housing was radial mixing mode, and the valve opening was precisely adjusted by electro-mechanical linkage gear plate. In order to improve the accuracy of variable temperature control and the stability of mixed temperature, the relationship between valve opening and hot air temperature, fan frequency and system temperature difference was analyzed by neural network prediction and design method of regression experiment, and the air volume mixed control model of variable temperature mixing device was established. Based on the principle of large eddy simulation, the mixing temperature field of variable temperature drying mixing device was simulated by Fluent software. The distance of the best mixing effect was 26.85 cm. The simulation results were in good agreement with the infrared thermal image verification diagram. The test results showed that the full range time of variable temperature control was 0.75 s, the maximum value of variable temperature difference was 0.96, and the qualified rate of control was more than 84%. The output rice moisture content was in a reasonable range, and the quality of rice after drying was better, which can meet the production requirements. The results of the research provide a reference for achieving high quality, high-efficiency, energy-saving drying process and equipment design. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 27

Main heading: Design

Controlled terms: Computer software? - ?Drying? - ?Energy conservation? - ?Grain (agricultural product)? - ?Large eddy simulation? - ?Mixing? - ?Temperature? - ?Temperature control? - ?Valves (mechanical)

Uncontrolled terms: Design and tests? - ?Higher efficiency? - ?Mixing devices? - ?Paddy-rice? - ?Performance tests? - ?Temperature differences? - ?Temperature mixing? - ?Valve opening? - ?Variable temperature? - ?Variable temperature drying

Classification code: 525.2 Energy Conservation? - ?601.2 Machine Components? - ?631 Fluid Flow? - ?641.1 Thermodynamics? - ?723 Computer Software, Data Handling and Applications? - ?731.3 Specific Variables Control? - ?802.3 Chemical Operations? - ?821.4 Agricultural Products? - ?921 Mathematics

Numerical data indexing: Percentage 8.40E+01%, Size 2.685E-01m, Time 7.50E-01s

DOI: 10.6041/j.issn.1000-1298.2022.02.041

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

31. Biomimetic Design and Experiment of Distributor of Pneumatic Seeding System Based on Crucian Curve

Accession number: 20221111788723

Title of translation:

Authors: Li, Yanjun (1); Zhao, Jinhui (1, 2); Zhao, Jiale (3); Liu, Lijing (1, 2); Liu, Rui (4)

Author affiliation: (1) Chinese Academy of Agricultural Mechanization Sciences, Beijing; 100083, China; (2) State Key Laboratory of Soil-Plant-Machinery System Technology, Chinese Academy of Agricultural Mechanization Sciences, Beijing; 100083, China; (3) College of Biological and Agricultural Engineering, Jilin University, Changchun; 130022, China; (4) College of Engineering, China Agricultural University, Beijing; 100083, China

Corresponding authors: Liu, Lijing(xyliulj@sina.com); Liu, Lijing(xyliulj@sina.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 80-87

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: For solving the problem of turbulence and other phenomena destroying the uniformity of seed flow distribution during the working process of the pneumatic seeding system distributor, a bionic design method of the distributor based on the streamlined curve of crucian as a bionic prototype was proposed. The crucian was three-dimensionally scanned to obtain point cloud data, and four crucian streamline curves were fitted by Matlab, and four different structural distributors were designed by the curves. At the same time, the standard k-¦¥ model unsteady Lagrangian coupling algorithm was used to simulate the four types of bionics. The gas-solid coupling simulation comparison between the structure distributor and the original structure distributor was carried out to obtain the optimal structure. The quadratic regression universal rotating combination design test was adopted, the seeding rate and the fan frequency were used as influencing factors, and the coefficient of variation of the discharge consistency of each row was used as the test index to carry out the verification test for the optimal structure distributor. The simulation analysis results showed that the distributor designed by the upper curve of the front basically eliminated turbulence and had the smallest coefficient of variation between the pressure loss and the displacement of each row. It was determined that it was the optimal structure. The verification test results showed that the maximum value of the coefficient of variation of the consistency of each row of the optimized distributor was 3.72%, which was less than the standard requirement and met the actual production demand, indicating that the streamlined distributor can effectively improve the uniformity of seed distribution in the seeding system. It can provide reference for the design and optimization of the distributor for the air conveying type metering system. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Structural optimization

Controlled terms: Biomimetics? - ?Bionics? - ?Conveying? - ?Design? - ?MATLAB? - ?Pneumatics? - ?Turbulence

Uncontrolled terms: Biomimetic design? - ?Biomimetic experiments? - ?Bionic design? - ?Coefficients of variations? - ?Crucian curve? - ?Distributor? - ?Flow distribution? - ?Optimal structures? - ?Pneumatic seeding system? - ?Verification tests

Classification code: 461.1 Biomedical Engineering? - ?461.8 Biotechnology? - ?461.9 Biology? - ?632.3 Pneumatics? - ?692.1 Conveyors? - ?723.5 Computer Applications? - ?921 Mathematics? - ?921.5 Optimization Techniques

Numerical data indexing: Percentage 3.72E+00%

DOI: 10.6041/j.issn.1000-1298.2022.02.008

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

32. Design and Test of Cut-flow Type Oil Sunflower Threshing and Screening Machine

Accession number: 20221111788522

Title of translation:

Authors: Hao, Jianjun (1, 2); Wei, Wenbo (1, 2); Qin, Jiahui (1, 2); Zhu, Zhimin (1, 2); L¨¹, Xiuyan (3); Yang, Shuhua (1, 2)

Author affiliation: (1) College of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding; 071001, China; (2) Technology Innovation Center of Intelligent Agricultural Equipment of Hebei Province, Baoding; 071001, China; (3) Bureau of Agriculture and Rural Affairs of Huanghua City, Huanghua; 061100, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 139-148

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problems of high impurity rate and high loss rate of oil sunflower seeds in oil sunflower threshing production, a cut-flow oil sunflower threshing and screening machine was designed. The dynamic model of the vibrating screen was established by using RecurDyn software, and the motion law of the screen surface was analyzed with the center of mass point of the screen surface as the object. The results showed that the movement of the vibrating screen was conducive to forward transportation and dispersion of oil sunflower seeds, and it can effectively avoid the phenomenon of accumulation and clogging. The value range of drum speed, feeding amount, and preset threshing gap were determined through single factor test. Taking drum speed, feeding amount, and preset threshing gap as test factors, oil sunflower seeds impurity rate and loss rate were evaluation indicators, the Box-Behnken test was designed, and the Design-Expert 10.0.7 software was used to analyze the variance of the Box-Behnken test results, and a regression model of evaluation indicators and test factors was established. In order to reduce the impurity rate and loss rate of oil sunflower seeds, multi-objective optimization of the drum speed, feeding amount, and preset threshing gap was carried out, and a better combination of working parameters was obtained as follows: drum speed was 264 r/min, feeding amount was 1.9 kg/s, and the preset threshing gap was 36 mm. The results of the threshing test showed that the impurity rate and loss rate of oil sunflower seeds were 1.94% and 2.64%, respectively, which met the requirements of threshing. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 29

Main heading: Multiobjective optimization

Controlled terms: Petroleum transportation? - ?Regression analysis? - ?Software testing? - ?Sunflower oil? - ?Testing

Uncontrolled terms: Cut-flow type? - ?Drum speed? - ?Feeding amount? - ?Flow type? - ?Impurity rates? - ?Loss rates? - ?Parameter optimization? - ?Screening devices? - ?Threshing device? - ?Threshing machines

Classification code: 723.5 Computer Applications? - ?804.1 Organic Compounds? - ?822.3 Food Products? - ?921.5 Optimization Techniques? - ?922.2 Mathematical Statistics

Numerical data indexing: Angular velocity 4.4088E+00rad/s, Mass flow rate 1.90E+00kg/s, Percentage 1.94E+00%, Percentage 2.64E+00%, Size 3.60E-02m

DOI: 10.6041/j.issn.1000-1298.2022.02.014

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

33. Effects of Irrigation Methods and Biochar on Peanut Root, Phosphorus Utilization and Yield

Accession number: 20221111788769

Title of translation: ,

Authors: Xia, Guimin (1); Wang, Yujia (1); Wang, Shujun (1); Yang, Qingfeng (1); Chi, Daocai (1)

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

Corresponding author: Chi, Daocai(chidaocai@syau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 316-326

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to determine the optimal irrigation method and biochar application rate for peanut, field experiments were conducted in Fuxin Mongolian Autonomous County Experimental Station of Northwest Liaoning Province for two consecutive years from 2018 to 2019. In this experiment, Xiaobaisha 1016 peanut was used as the material, and the split plot design with two factors was used, the main plots included three irrigation methods: furrow irrigation (F), drip irrigation (D) and mulched drip irrigation (M), the sub-plots within each of main plots included four biochar application rates: 0 t/hm2(B0), 10 t/hm2(B10), 20 t/hm2(B20) and 40 t/hm2(B40). The effects of different irrigation methods and biochar application rates on soil available phosphorus content, peanut root morphology and phosphorus accumulation were studied. The results showed that there was a significant interaction effect between irrigation method and biochar application rate. The highest yield of 10 t/hm2 biochar was obtained under mulched drip irrigation, and the average yield increase in two years was 14.2%. Biochar could effectively promote the optimization of peanut root morphology, and the application of 10 t/hm2 biochar under mulched drip irrigation could significantly increase the root length, root surface area and root volume. Compared with no biochar application, 10 t/hm2 biochar application significantly increased the available phosphorus content and plant phosphorus accumulation, and the coupling effect of mulched drip irrigation with 10 t/hm2 biochar application was the most obvious. Therefore, MB10 treatment was the best coupling mode in this experiment. This mode can give full play to the interaction effect. By creating a good peanut root morphology, increasing the available phosphorus content in the surface soil, and then promoting the absorption and accumulation of phosphorus by plants, and finally achieving peanut yield increase. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 37

Main heading: Phosphorus

Controlled terms: Irrigation? - ?Morphology? - ?Oilseeds

Uncontrolled terms: Application rates? - ?Available phosphorus? - ?Biochar? - ?Interaction effect? - ?Irrigation methods? - ?Mulched drip irrigations? - ?Phosphorus contents? - ?Root morphology? - ?Yield? - ?Yield increase

Classification code: 804 Chemical Products Generally? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?931.2 Physical Properties of Gases, Liquids and Solids? - ?951 Materials Science

Numerical data indexing: Percentage 1.42E+01%

DOI: 10.6041/j.issn.1000-1298.2022.02.034

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

34. Configuration and Kinematics Analysis of a 3(Ra)PS Metamorphic Parallel Mechanism

Accession number: 20221111788743

Title of translation: 3(Ra)PS

Authors: Jia, Pu (1); Li, Duanling (1); Lei, Zhiqiang (2); Zhang, Yuankai (1); Yang, Chao (1)

Author affiliation: (1) College of Automation, Beijing University of Posts and Telecommunications, Beijing; 100876, China; (2) College of Mechanical and Electrical Engineering, Shaanxi University of Science and Technology, Xi¡¯an; 710021, China

Corresponding author: Li, Duanling(liduanling@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 443-450

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The reconfigurability and unified analytical kinematics analysis of a type of 3(Ra)PS metamorphic parallel mechanism were studied. According to the constraint screw system, in one configuration, the (Ra)PS chain had no constraint on the platform, while in another configuration, it can provide a constraint by changing the position of the inner axis of the Ra joint. The two configurations of the limb made the 3(Ra)PS metamorphic parallel mechanism have four kinds of topological structures, which had the ability to move between 2R1T (two rotations and one translation), 3R1T (three rotations and one translation), 3R2T and 6 DOF. The basic principles of metamorphic of such reconfigurable axis joint were revealed by investigating the correlation of the corresponding screw systems consisted of line vectors. A limb that can be used to construct a type of parallel mechanism was proposed. The sub-phases of the limb that accompanied the phase change of a specific reconfigurable axis joint were enumerated and the constraints corresponding to each phase were analyzed based on the reciprocity of the screw. Based on the analysis of the driving scheme, a unified kinematic modelling method with one configuration as a special case of the other was proposed through the difference between the two configurations of the limb. Four kinds of driving schemes and four kinds of unified kinematic models covering 3(Ra)PS metamorphic parallel mechanism were established. The drive selection scheme of 3(Ra)PS metamorphic parallel mechanism and the unified kinematic model covering four configurations were established. The inverse kinematics and forward kinematics were solved analytically, and the theoretical results were verified by numerical examples. The proposed metamorphic parallel mechanism laid a foundation for the workspace, path planning and control of the metamorphic mechanism. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 24

Main heading: Screws

Controlled terms: Inverse kinematics? - ?Joints (anatomy)? - ?Mechanisms? - ?Motion planning

Uncontrolled terms: Configuration analysis? - ?Constraint screw? - ?Driving schemes? - ?Kinematic Analysis? - ?Kinematics models? - ?Reconfigurability? - ?Reconfigurable? - ?Reconfigurable joint? - ?Screw systems? - ?Topological structure

Classification code: 461.3 Biomechanics, Bionics and Biomimetics? - ?601.3 Mechanisms? - ?605 Small Tools and Hardware? - ?931.1 Mechanics

DOI: 10.6041/j.issn.1000-1298.2022.02.047

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

35. Design and Experiment of Two-way Progressive Seedling Feeding for Rape Substrate Transplanters

Accession number: 20221111788506

Title of translation:

Authors: Hu, Qiaolei (1, 2); Yuan, Jiacheng (1, 2); Li, Xinzhi (1, 2); Wang, Lei (1, 2); Zhang, Qingsong (1, 2); Liao, Qingxi (1, 2)

Corresponding authors: Liao, Qingxi(liaoqx@mail.hzau.edu.cn); Liao, Qingxi(liaoqx@mail.hzau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 106-115

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the problem that the rape transplanter is mainly semi-automatic and lacks the seedling feeding device matching with the substrate block seedling separating mechanism, a two-way progressive seedling feeding device for rape substrate transplanter was designed. The working process of the seedling delivery device was described, the mechanical properties of the substrate block were measured, the working parameters of the stable transportation of the substrate block were determined, and the kinematic models of the lateral progressive seedling delivery stage and the longitudinal continuous seedling delivery stage were constructed. The single factor experiment and three factor three level quadratic orthogonal combination experiment were carried out with the bottom height of seedling frame, the height of upper guide rod, the longitudinal seedling delivery speed as the factors, the synchronization rate of seedling delivery and the success rate of seedling delivery as the evaluation indexes. The results of single factor test showed that when the bottom height of seedling frame was 5~25 mm, the height of upper guide rod was 45~55 mm, and the longitudinal seedling feeding speed was 80~140 mm/s, the seedling feeding effect was better. The results of quadratic orthogonal combination test showed that when the bottom height of seedling frame was 10.7 mm, the height of upper guide rod was 50.0 mm, and the longitudinal seedling delivery speed was 140.0 mm/s, the seedling delivery synchronization rate was 94.54%, and the success rate of seedling delivery was 93.13%. The results of field verification test showed that the seedling delivery synchronization rate was 92.20%, and the success rate of seedling delivery was 88.30%, which met the requirements of rape transplanter. The research result can provide a reference for the structural improvement of the transplanter. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 21

Main heading: Feeding

Controlled terms: Kinematics? - ?Substrates? - ?Synchronization

Uncontrolled terms: Delivery speed? - ?Feeding devices? - ?Rape? - ?Seedling feeding device? - ?Seedling substrate block? - ?Semi-automatics? - ?Synchronization rate? - ?Transplanter? - ?Two ways? - ?Two-way progressive

Classification code: 691.2 Materials Handling Methods? - ?931.1 Mechanics? - ?961 Systems Science

Numerical data indexing: Percentage 8.83E+01%, Percentage 9.22E+01%, Percentage 9.313E+01%, Percentage 9.454E+01%, Size 1.07E-02m, Size 4.50E-02m to 5.50E-02m, Size 5.00E-02m, Size 5.00E-03m to 2.50E-02m, Velocity 1.40E-01m/s, Velocity 8.00E-02m/s to 1.40E-01m/s

DOI: 10.6041/j.issn.1000-1298.2022.02.011

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

36. Type Synthesis of 3T1R Parallel Machine with Fixed Rotation Axis and Variable Rotation Axis

Accession number: 20221111788767

Title of translation: 3T1R

Authors: Liu, Wei (1, 2); Liu, Hongzhao (1); Hu, Xuyu (1)

Author affiliation: (1) Faculty of Mechanical and Precision Instrument Engineering, Xi¡¯an University of Technology, Xi¡¯an; 710048, China; (2) School of Electrical and Mechanical Engineering, Xi¡¯an Polytechnic University, Xi¡¯an; 710048, China

Corresponding author: Liu, Hongzhao(liu-hongzhao@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 451-458

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Based on the displacement manifold theory, the configuration synthesis of 3T1R parallel mechanism with fixed rotation axis and variable rotation axis was carried out. According to the general kinematics equation of spatial 4R spherical mechanism, the characteristics of rotation axis of spherical 4R mechanism with two fixed axes were analyzed. The characteristics of rotation axis of spherical 4R mechanism with fixed axis rotation and variable axis rotation were analyzed. Through limit calculation, the two instantaneous continuous rotation axes of the connecting rod of the spherical 4R mechanism with fixed rotation axis and variable rotation axis in the motion mode transformation configuration were analyzed. The results showed that the two instantaneous continuous rotation axes of this kind of mechanism did not coincide under the motion mode transformation configuration. According to the spherical mechanism with two motion modes of fixed rotation axis and variable rotation axis, the expression of connecting rod displacement manifold was established. The frame of the spherical mechanism was connected with three moving pairs, and a new 3T1R motion mode generator was obtained. Based on its displacement manifold, a 3T1R parallel mechanism with two motion modes was designed. Through the screw theory, the correctness of the degree of freedom and the selection of driving pair of the mechanism in the transformation of 3T1R motion mode with variable axis rotation and 3T1R motion mode with fixed axis rotation were verified. The results showed that the 3T1R parallel mechanism had two 3T1R motion modes: fixed rotation axis and variable rotation axis. Four drive pairs of four branch chains can realize the control of the mechanism under the above two modes. When the mechanism was in the transformation configuration of the two motion modes, an auxiliary drive pair needed to be added to realize the transformation of the two motion modes of the mechanism. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 26

Main heading: Connecting rods

Controlled terms: Degrees of freedom (mechanics)? - ?Rotation? - ?Spheres

Uncontrolled terms: Axis rotation? - ?Displacement manifold? - ?Motion modes? - ?Parallel machine? - ?Parallel mechanisms? - ?Rotation axes? - ?Spherical mechanisms? - ?Type synthesis? - ?Variable rotation? - ?Variable rotation axis

Classification code: 931.1 Mechanics

DOI: 10.6041/j.issn.1000-1298.2022.02.048

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

37. Fast Recognition Method for Multiple Apple Targets in Dense Scenes Based on CenterNet

Accession number: 20221111788760

Title of translation: CenterNet

Authors: Yang, Fuzeng (1, 2); Lei, Xiaoyan (1, 2); Liu, Zhijie (1, 2); Fan, Pan (1, 2); Yan, Bin (1, 3)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling; 712100, China; (2) Apple Full Mechanized Scientific Research Base, Ministry of Agriculture and Rural Affairs, Yangling; 712100, China; (3) Scientific Observing and Experimental Station of Agricultural Equipment for the Northern China, Ministry of Agriculture and Rural Affairs, Yangling; 712100, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 265-273

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to improve the recognition efficiency and environmental adaptability of the apple picking robot, so that it can quickly and accurately recognize multiple apple targets in dense scenes, a rapid recognition method for multiple apple targets in dense scenes was proposed. The method drew on the idea of ¡°point is the target¡±, and realized the rapid identification of apple targets by predicting the center point of apple and the width and height of apple. By improving the CenterNet network, the Tiny Hourglass-24 lightweight backbone network was designed, and the residual module was optimized to improve the target recognition speed. The test results showed that the average recognition accuracy of this method on the test set in non-dense scenes (images taken in close-range scenes) was 98.90%, and F1 was 96.39%. In the dense scene (images taken in the remote scene), the recognition average precision (AP) of the test set was 93.63%, the F1 was 92.91%, and the average recognition time of a single image was 0.069 s. By comparing with the recognition effect of YOLO v3 and CornerNet-Lite network under the two types of test sets, the AP of this method was increased by 4.13 percentage points and 29.03 percentage points respectively on the dense scene test set. The average image recognition time was 0.04 s faster than that of YOLO v3 and 0.646 s faster than that of CornerNet-Lite. This method did not need to use anchor box and non-maximum suppression post-processing, and can provide technical support for the apple picking robot to quickly and accurately identify multiple apple targets in dense scenes. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 26

Main heading: Fruits

Controlled terms: Image recognition? - ?Robots? - ?Testing

Uncontrolled terms: Centernet? - ?Dense scene? - ?Multiple apple recognition? - ?Percentage points? - ?Picking robot? - ?Recognition methods? - ?Recognition time? - ?Scene image? - ?Test sets? - ?Tiny hourglass-24

Classification code: 731.5 Robotics? - ?821.4 Agricultural Products

Numerical data indexing: Percentage 9.291E+01%, Percentage 9.363E+01%, Percentage 9.639E+01%, Percentage 9.89E+01%, Time 3.00E+00s, Time 4.00E-02s, Time 6.46E-01s, Time 6.90E-02s

DOI: 10.6041/j.issn.1000-1298.2022.02.028

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

38. Identifying Anthracnose and Black Spot of Pear Leaves on Near-infrared Hyperspectroscopy

Accession number: 20221111788521

Title of translation:

Authors: Liu, Li (1); Tao, Hongyan (1); Fang, Jing (1); Zheng, Wenjuan (1); Wang, Lianglong (2); Jin, Xiu (2)

Author affiliation: (1) College of Horticulture, Anhui Agricultural University, Hefei; 230036, China; (2) College of Information and Computer Science, Anhui Agricultural University, Hefei; 230036, China

Corresponding author: Jin, Xiu(jinxiu123@ahau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 221-230

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Pear anthracnose and pear black spot are serious diseases that occur during the growth of pears. The symptoms of these two diseases are very similar and it is difficult to distinguish, which leads to the inconvenience of prescribing the right medicine to these two kinds of leaves in actual production. In response to the status quo, taking ¡®Dangshan¡¯ pear leaves as the study object, the feasibility of using hyperspectral technology to identify anthracnose and black spot on pear leaves was explored. First of all, the hyperspectral imaging system was used to collect the hyperspectral images of the normal leaves, anthracnose leaves and black spot leaves of ¡®Dangshan¡¯ pear, and extract the average spectral reflectance of the images. The multiplicative scatter correction method (MSC), Savitzky-Golay convolution smoothing method and standard normal variate method (SNV) were used respectively to preprocess the original spectral data. Then the principal component analysis (PCA), successive projections algorithm (SPA), uniformative variable elimination (UVE), competitive adaptive reweighted sampling algorithm (CARS), and shuffled frog leaping algorithm(SFLA) were used to extract characteristic wavelengths, respectively, and totally 27, 12, 15, 26 and 20 characteristic wavelengths were obtained, and using them as input variables for later modeling. After comparison, it was found that in the support vector machine (SVM) classification and recognition model based on characteristic wavelength and the BP neural network classification and recognition model based on characteristic wavelength, the SPA-SVM recognition model had the best effect during all models, the accuracy rate of the model¡¯s test set was 93.25%, and the accuracy rate of the model¡¯s modeling set was 94.80%. The test results proved that hyperspectral technology can effectively identify the black spot and anthracnose of ¡®Dangshan¡¯ pear leaves. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 27

Main heading: Fruits

Controlled terms: Classification (of information)? - ?Hyperspectral imaging? - ?Neural networks? - ?Principal component analysis? - ?Spectroscopy? - ?Support vector machines

Uncontrolled terms: ¡¯dangshan¡¯ pear? - ?Anthracnose? - ?Black spot? - ?Characteristic wavelength? - ?Classification models? - ?HyperSpectral? - ?Identification modeling? - ?Machine recognition? - ?Recognition models? - ?Successive projections algorithm

Classification code: 716.1 Information Theory and Signal Processing? - ?723 Computer Software, Data Handling and Applications? - ?746 Imaging Techniques? - ?821.4 Agricultural Products? - ?903.1 Information Sources and Analysis? - ?922.2 Mathematical Statistics

Numerical data indexing: Percentage 9.325E+01%, Percentage 9.48E+01%

DOI: 10.6041/j.issn.1000-1298.2022.02.023

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

39. Cross-modal Image and Text Retrieval Method for Lycium barbarum Pests by Integrating Attention Mechanism

Accession number: 20221111788737

Title of translation:

Authors: Liu, Libo (1); Zhao, Feifei (1)

Author affiliation: (1) School of Information Engineering, Ningxia University, Yinchuan; 750021, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 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: In recent years, with the change of climatic conditions and the introduction of cultivation techniques, the planting area of Lycium has gradually expanded. It has become one of the important economic crops in Ningxia and even the entire northwestern region. Lycium is a multi-insect host and has poor resistance to insect pests. It is very susceptible to insect infestation, which has a huge impact on yield and quality, causing serious economic losses. Therefore, it is very important to quickly and accurately retrieve and obtain various information about Lycium pests and provide timely and accurate control for the development of the industry. To address the problem that the present retrieval system on crop pests owns only the single mode, the cross-modal retrieval for images and texts in Lycium pest dataset was introduced, which had 17 kinds of common pests, and a cross-modal image and text retrieval method with the attention mechanism was proposed. Firstly, the transformer and the LSTM were used to obtain text and image fine-grained feature sequences with the context information, respectively. Then, the attention mechanism was leveraged to aggregate feature sequences to capture the salient semantic information in texts and images. Finally, in order to explore the semantic correlation between different modalities, the cross-media joint loss was used to constrain the proposed model. The experiment showed that the averaged MAP of the proposed method in the self-built Lycium pest dataset achieved 0.458. Compared with the existing eight methods, the averaged MAP of the method was improved by 0.011~0.195, outperforming all these methods. The proposed method can provide technical support and algorithm reference for diversified retrieval requirements of crop pests. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 26

Main heading: Crops

Controlled terms: Cultivation? - ?Information retrieval? - ?Losses? - ?Search engines? - ?Semantics

Uncontrolled terms: Attention mechanisms? - ?Climatic conditions? - ?Cross-modal? - ?Feature sequence? - ?Image and text retrieval? - ?Lycium barbara pest? - ?Lycium barbarum? - ?Planting areas? - ?Text retrieval? - ?Text retrieval methods

Classification code: 723 Computer Software, Data Handling and Applications? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?903.3 Information Retrieval and Use? - ?911.2 Industrial Economics

DOI: 10.6041/j.issn.1000-1298.2022.02.032

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

40. Design and Test of Garlic Seed Placer with Seed Disturbing Tooth Assisted Air Suction

Accession number: 20221111788527

Title of translation:

Authors: Xie, Dongbo (1, 2); Zhang, Chunling (1, 2); Wu, Xiaoqing (1, 2); Wang, Weiwei (1, 2); Liu, Lichao (1, 2); Chen, Liqing (1, 2)

Author affiliation: (1) School of Engineering, Anhui Agricultural University, Hefei; 230036, China; (2) Anhui Province Engineering Laboratory of Intelligent Agricultural Machinery and Equipment, Hefei; 230036, China

Corresponding authors: Chen, Liqing(lqchen@ahau.edu.cn); Chen, Liqing(lqchen@ahau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 47-57

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the problem that the size difference of hybrid garlic led to the low qualified index of single grain and the high omission-sowing index, a kind of garlic seed platter with air suction assisted by seed disturbing teeth was designed. Hybrid garlic was taken as the research object, and the working principle of seed stirrer assisted by air suction type garlic seed platter was described. Based on the physical characteristics of hybrid garlic itself and the requirements of agricultural planting, the surface equation of seed disturbing tooth was constructed to determine the key structural parameters of seed platter. On this basis, the seed selection qualification index was taken as the test index, and the seed arrangement process was simulated and analyzed based on EDEM software to determine the optimal structural parameters of the seed disturbing teeth. At last, the performance of hybrid garlic was studied with the operating speed, the rotation speed of seed platter and the vacuum degree as the test factors, and the high qualification index and low omission index as the test indexes. Based on the optimization of the regression model, when the operating speed was 1 km/h, the rotation speed of the seed platter was 11.66 r/min, and the vacuum degree was 5 kPa, the eligibility index of seed selection was 87.1%, and the omission index was 8.8%, which met the requirements of single seed selection of garlic. The research result can provide a feasible reference for the mechanized seeding of hybrid garlic. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 24

Main heading: Seed

Controlled terms: Grain (agricultural product)? - ?Regression analysis? - ?Software testing? - ?Structural optimization

Uncontrolled terms: Air suction? - ?Hybrid garlic? - ?Operating speed? - ?Plantings? - ?Rotation speed? - ?Seed disturbing tooth? - ?Seed-metering device? - ?Seed-selection? - ?Sing grain planting? - ?Structural parameter

Classification code: 723.5 Computer Applications? - ?821.4 Agricultural Products? - ?921.5 Optimization Techniques? - ?922.2 Mathematical Statistics

Numerical data indexing: Angular velocity 1.94722E-01rad/s, Percentage 8.71E+01%, Percentage 8.80E+00%, Pressure 5.00E+03Pa, Size 1.00E+03m

DOI: 10.6041/j.issn.1000-1298.2022.02.005

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

41. Near Infrared Spectroscopy Calibration Transfer Based on TrAdaBoost Algorithm

Accession number: 20221111788516

Title of translation: TrAdaBoost

Authors: Liu, Cuiling (1, 2); Xu, Jinyang (1, 2); Sun, Xiaorong (1, 2); Zhang, Shanzhe (1, 2); Zan, Jiarui (1, 2)

Author affiliation: (1) School of Artificial Intelligence, Beijing Technology and Business University, Beijing; 100048, China; (2) Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing; 100048, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 239-245

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: With more and more types of near infrared spectroscopy detectors, the inability to share calibration models between different instruments has become the main problem that limits its application, and calibration transfer has become the key to solve this problem. Taking edible oil as the research object, the extreme learning machine model of its acid value on the master instrument was established. And the TrAdaBoost algorithm in transfer learning was used to transfer the master model to the slave model, and the dependence of calibration transfer on the number of standardization samples was explored. It was also compared with the direct standardized, missing data recovery and transfer via extreme learning machine auto-encoder method. The results showed that the predictive power of the slave samples after the TrAdaBoost calibration transfer algorithm was most effective and very close to the predictive value of the master sample-master model. The R2 of the validation set was increased from 0.489 to 0.892, the root mean square error of prediction (RMSEP) was reduced from 4.824 mg/g to 0.267 mg/g. Specifically, the model effect was almost independent of the number of standardized samples. The next degree of effect was the transfer via extreme learning machine auto-encoder method algorithm (TEAM), the missing data recovery algorithm (MDR) and direct standardized algorithm (DS) in decreasing order, respectively. It was shown that the TrAdaBoost can be effectively applied to the calibration transfer, and it can realize the communication between different spectroscopic instruments, which provided an idea for the calibration transfer. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 33

Main heading: Knowledge acquisition

Controlled terms: Calibration? - ?Infrared devices? - ?Learning algorithms? - ?Machine learning? - ?Mean square error? - ?Near infrared spectroscopy? - ?Oils and fats? - ?Signal encoding

Uncontrolled terms: Auto encoders? - ?Calibration model? - ?Calibration transfer? - ?ITS applications? - ?Machine modelling? - ?Master model? - ?Missing data recoveries? - ?Research object? - ?Tradaboost? - ?Transfer learning

Classification code: 716.1 Information Theory and Signal Processing? - ?723.4 Artificial Intelligence? - ?723.4.2 Machine Learning? - ?804.1 Organic Compounds? - ?922.2 Mathematical Statistics

Numerical data indexing: null 4.824E+00null to 2.67E-01null

DOI: 10.6041/j.issn.1000-1298.2022.02.025

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

42. Semi-supervised Land Use Classification Based on Particle Swarm Optimization Probabilistic Neural Network

Accession number: 20221111788724

Title of translation:

Authors: Wang, Chunyang (1, 2); Tang, Zimeng (1); Wu, Xifang (1); Li, Changchun (1); Zhang, Hebing (1)

Author affiliation: (1) School of Surveying and Mapping and Land Information Engineering, Henan Polytechnic University, Jiaozuo; 454003, China; (2) College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo; 454003, China

Corresponding author: Wu, Xifang(wxf2020@hpu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 167-176

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problem that most of the land use monitoring in the past uses supervised classification algorithms, which have high costs, wrong leakage points, and greatly affected by human factors, a semi-supervised classification algorithm was proposed for particle swarm optimization probability neural networks, which improved the classification accuracy. The algorithm optimized the parameters of the classifier through the particle swarm optimization algorithm, improved the accuracy of the classifier, and Shannon entropy was used to select high-confidence samples to expand the initial training sample set, a large number of unlabeled samples were expanded to the training sample set, the number of initial label samples were reduced, costs were saved, and it was compared and analyzed with random forest, maximum likelihood method, and probabilistic neural network algorithm, the classification accuracy was improved by 1.25~6.57 percentage points compared with that of other algorithms, and the Kappa coefficient reached more than 0.8. Through the land classification of the remote sensing images of Xinxiang City in 1996, 2004, 2013 and 2020, the results showed that the construction land of Xinxiang City from 1996 to 2020 was continuously expanded in Xinxiang County in the central region, and the cultivated land area was also increased, and the area of other land used was decreased, and the area along the Yellow green area was increased; the land circulation was the most obvious for the conversion of cultivated land to construction land. The research results provided a certain reference for the further rational development of land resources in Xinxiang City. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 30

Main heading: Land use

Controlled terms: Classification (of information)? - ?Decision trees? - ?Maximum likelihood? - ?Neural networks? - ?Particle swarm optimization (PSO)? - ?Remote sensing? - ?Sampling? - ?Supervised learning? - ?Transfer matrix method

Uncontrolled terms: Classification accuracy? - ?Classification algorithm? - ?Landuse classifications? - ?Neural-networks? - ?Probabilistic neural network? - ?Probabilistics? - ?Semi-supervised algorithm? - ?Shannon¡¯s entropy? - ?Training sample? - ?Transfer matrixes

Classification code: 403 Urban and Regional Planning and Development? - ?716.1 Information Theory and Signal Processing? - ?723 Computer Software, Data Handling and Applications? - ?903.1 Information Sources and Analysis? - ?921 Mathematics? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory? - ?921.5 Optimization Techniques? - ?922.1 Probability Theory? - ?961 Systems Science

DOI: 10.6041/j.issn.1000-1298.2022.02.017

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

43. Design and Test of Horizontal Folding Spray Boom of Sprayer

Accession number: 20221111788716

Title of translation:

Authors: Sun, Wenfeng (1); He, Yue (1); Fu, Tianpeng (1); Wang, Jin (1); Lu, Jiaqi (1); Chang, Jinkai (1)

Author affiliation: (1) College of Engineering, Northeast Agricultural University, Harbin; 150030, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 116-127 and 194

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming to solve the problem that the spray boom sprayer needs to be installed with auxiliary devices such as grain distributor when it is used to apply pesticide in the middle and later period of crop growth, and vertical folding sprayer is easy to cause interference, a wide horizontal folding spray boom based on 3WF-1000 spray boom sprayer was designed. The horizontal deployment mechanism and the angular velocity of the spray boom were optimized by using analytic method and genetic algorithm to realize the smooth horizontal deployment and folding movement. A method to adjust the spray boom by the eccentric conical hinge was presented. The angle of spray boom can reach 6.5¡ã by adjusting the angle of the conical hinge pin and the friction torque of the match surfaces. The pressure range of the spring press and the structural parameters of the clutch were determined by mechanical analysis. The dynamic transfer function mathematical model was established, and the adaptive suspension spring stiffness coefficient was 1 500 N/m and the damping coefficient of the damping plate was 3 500 N?s/m. The static and dynamic characteristics of the spray boom and its key components were simulated. The results of the static and kinematic simulation of the spray boom showed that the structure parameters of the spray boom were reasonable, and the stability and deployment fluency met the design requirements. Ground test showed that the deployment process of the horizontal foldable spray boom was stable and had no stagnation, and the eccentric conical leveling mechanism can correct the tilt of the spray boom effectively. In the field test, the average degree of droplet deposition was 27.1/cm2, and the variation coefficient of spray distribution along the direction of spray boom was 5.1%. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 41

Main heading: Kinematics

Controlled terms: Damping? - ?Dynamics? - ?Functions? - ?Genetic algorithms

Uncontrolled terms: Boom sprayer? - ?Design and tests? - ?Foldings? - ?Horizontal folding spray boom? - ?Leveling mechanism? - ?Simulation? - ?Spray boom sprayer? - ?Spray booms? - ?Test

Classification code: 921 Mathematics? - ?931.1 Mechanics

Numerical data indexing: Force 5.00E+02N, Percentage 5.10E+00%, Surface tension 5.00E+02N/m

DOI: 10.6041/j.issn.1000-1298.2022.02.012

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

44. Dead Rabbit Recognition Model Based on Instance Segmentation and Optical Flow Computing

Accession number: 20221111788736

Title of translation:

Authors: Duan, Enze (1); Wang, Liangju (1); Lei, Yiqun (1); Hao, Hongyun (1); Wang, Hongying (1)

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

Corresponding author: Wang, Hongying(hongyingw@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: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 256-264 and 273

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Screening and isolating dead rabbits is one of the important work of meat rabbit farms, which is helpful to build a rabbit breeding safety system. In order to identify dead rabbits automatically and improve the efficiency of breeding management, cage-rearing breeding rabbits was taken as the research object, a dead rabbit recognition model was proposed which was based on the modified Mask RCNN and LiteFlowNet. The instance segmentation part of the model used ResNet 50 residual network as the backbone, used PointRend algorithm as the network head to extract the instance contour accurately. The key frames of the rabbit videos were sent to rabbit instance segmentation network and optical flow calculation network at the same time to obtain the optical flow of the meat rabbit mask and the center point coordinates of the instance boundary boxes. The masks of the active rabbits were removed by the threshold of the optical flow, and then the density distribution of the remaining center point coordinates was obtained by kernel density estimation algorithm, and the dead rabbits were distinguished by density distribution threshold. The experiment results showed that the classification accuracy of the rabbit segmentation network was 96.1%, the pixel segmentation accuracy of the rabbit segmentation network was 95.7%, and the recognition accuracy of the dead rabbit recognition model was 90%. This study provided technical support for dead rabbit recognizing and isolating in rabbit farms. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Controlled terms: Deep learning? - ?Optical flows

Uncontrolled terms: Center points? - ?Dead rabbit recognition? - ?Deep learning? - ?Density distributions? - ?Model-based OPC? - ?Optical flow computing? - ?Optical flow methods? - ?Point coordinates? - ?Recognition models? - ?Research object

Classification code: 461.4 Ergonomics and Human Factors Engineering? - ?723.4 Artificial Intelligence? - ?741.1 Light/Optics

Numerical data indexing: Percentage 9.00E+01%, Percentage 9.57E+01%, Percentage 9.61E+01%

DOI: 10.6041/j.issn.1000-1298.2022.02.027

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

45. Development and Implementation of Blockchain to Enhance Traceability and Reliability of Fruit and Vegetable Quality

Accession number: 20221111788732

Title of translation:

Authors: Yi, Weiguo (1); He, Jianguo (1, 2); Liu, Guishan (2); Kang, Ningbo (2)

Author affiliation: (1) School of Physics and Electronic-Electrical Engineering, Ningxia University, Yinchuan; 750021, China; (2) School of Food and Wine, Ningxia University, Yinchuan; 750021, China

Corresponding author: Liu, Guishan(liugs@nxu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 309-315 and 345

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Quality-related data collecting by the Internet of things sensing device was added to the blockchain, which could solve the problem of data being easily tampered and increase the data credibility in the storage link. However, data stored directly in the blockchain can result in low system throughput and long response time. The dual storage design of ¡°database + blockchain¡± can greatly improve the response speed, but its response speed still cannot meet the demand. Aiming to improve the dual-storage design of ¡°database + blockchain¡± by using the method of data Hash value secondary chain and verification based on the characteristics of fruit and vegetable quality traceability. The time complexity of the improved method was reduced from linear order to constant order in terms of data query. The results showed that the efficiency of the improved method was greatly enhanced. The average query time was 0.066 s. And the query time could remain constant as the increase of data items, which solved the problem of low query efficiency for the application of blockchain technology in the fruit and vegetable quality traceability system. According to Hyperledger Fabric platform, the improved method was used to realize the development of fruit and vegetable quality traceability system, which achieved good demonstration effect when it was applied to fruit and vegetable enterprises. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 26

Main heading: Blockchain

Controlled terms: Digital storage? - ?Distributed ledger? - ?Efficiency? - ?Fruits? - ?Query processing? - ?Search engines? - ?Vegetables

Uncontrolled terms: Block-chain? - ?Data collecting? - ?Fruit and vegetables? - ?Hash value? - ?Hyperledg fabric? - ?Quality traceabilitys? - ?Query time? - ?Response speed? - ?Sensing devices? - ?Traceability systems

Classification code: 722.1 Data Storage, Equipment and Techniques? - ?723 Computer Software, Data Handling and Applications? - ?723.3 Database Systems? - ?821.4 Agricultural Products? - ?913.1 Production Engineering

Numerical data indexing: Time 6.60E-02s

DOI: 10.6041/j.issn.1000-1298.2022.02.033

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

46. Fish Image Recognition Based on Residual Network and Few-shot Learning

Accession number: 20221111788721

Title of translation:

Authors: Yuan, Peisen (1); Song, Jin (1); Xu, Huanliang (1)

Author affiliation: (1) College of Artificial Intelligence, Nanjing Agricultural University, Nanjing; 210095, China

Corresponding author: Xu, Huanliang(huanliangxu@njau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 282-290

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Accurate and effective identification of fish images play important role in the observation of fish populations and the management of the ecological environment. However, there were some issues, such as lots of kinds of fish, difficulty of data collection in the complex environments, and fine-grained fish image recognition. For solving the problem of few image annotation of fish image, a few-shot learning method based on metric learning was proposed. Firstly, the residual block structure of ResNet18 was used to improve the few-shot learning network based on metric learning, for extracting the deep features of fish images, and then they were mapped to the embedding space for obtaining the mean center by clustering skills. Secondly, for further improving the recognition accuracy, the improved few-shot learning model was used for pre-training on the mini-ImageNet dataset, and then the training results were transferred to the Fish100 fine-grained dataset for fine-grained training to get the final discrimination model. Based on this model, comparative experiments were conducted with the existing five few-shot learning models on the fish data set Fish100 and ImageNet. The results showed that the model proposed had the best recognition effect and the recognition accuracy on the two datasets reached 94.77% and 91.03%, respectively, and the accuracy, recall rate, and F1 were significantly better than that of other models. The experiments showed that the method proposed can effectively improve the accuracy of few-shot learning in fish identification with few annotated fish images, which can provide technical support and reference for the application of practical fish image recognition. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 28

Main heading: Fish

Controlled terms: Deep learning? - ?Image enhancement? - ?Image recognition

Uncontrolled terms: Ecological environments? - ?Few-shot learning? - ?Fine grained? - ?FISH images? - ?Fish populations? - ?Learning models? - ?Metric learning? - ?Recognition accuracy? - ?Residual network? - ?Transfer learning

Classification code: 461.4 Ergonomics and Human Factors Engineering

Numerical data indexing: Percentage 9.103E+01%, Percentage 9.477E+01%

DOI: 10.6041/j.issn.1000-1298.2022.02.030

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

47. Crop Growth Monitoring and Yield Estimation Based on Deep Learning: State of the Art and Beyond

Accession number: 20221111788747

Title of translation:

Authors: Wang, Pengxin (1); Tian, Huiren (1); Zhang, Yue (1); Han, Dong (1); Wang, Jie (1); Yin, Meng (1)

Author affiliation: (1) College of Information and Electrical 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: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 1-14

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Crop growth conditions are key information sources for estimating and forecasting crop yields, which are of great value to food security and trade. With the continuous appearance of high spatial and temporal resolution remote sensing data, the remote sensing data have presented obvious characteristics of big data. Therefore, crop growth monitoring and yield estimation based on deep learning has become one of the important means to guide agricultural production. The research status of deep learning at the regional scale was investigated, which focused on the development of model samples and model structure. Among them, the model samples were summarized through two aspects of sample construction and sample augmentation. The progress of the deep learning model structure of convolutional neural network (CNN), recurrent neural network (RNN), and their optimized structures and model interpretability were also summarized. Besides, the latest progress of crop growth monitoring and yield estimation at field scale at home and abroad was elaborated from two aspects: unmanned aerial vehicle (UAV) platform and satellite platform. Finally, the existing problems and the future perspective were analyzed and discussed, including improving the limitation of small samples through region-based and parameter-based transfer learning, the organic combination of deep learning model and crop growth model to improve the interpretability of the model, and the combination of UAV platform and satellite platform to ensure the precision of scale conversion in the process of spatio-temporal fusion, which can further explore the potential of deep learning in crop growth monitoring. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 109

Main heading: Unmanned aerial vehicles (UAV)

Controlled terms: Antennas? - ?Convolutional neural networks? - ?Crops? - ?Food supply? - ?Recurrent neural networks? - ?Remote sensing

Uncontrolled terms: Crop growth? - ?Deep learning? - ?Growth monitoring? - ?Growth yield? - ?Interpretability? - ?Learning models? - ?Model samples? - ?Remote sensing data? - ?Remote-sensing? - ?Yield estimation

Classification code: 652.1 Aircraft, General? - ?821.4 Agricultural Products? - ?822.3 Food Products

DOI: 10.6041/j.issn.1000-1298.2022.02.001

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

48. Detection Method of Multi-objective Cows Feeding Behavior Based on Iterative Magnitude Pruning

Accession number: 20221111788729

Title of translation:

Authors: Liu, Yuefeng (1); Bian, Haodong (1); He, Yingjie (1); Guo, Wei (1); Zhang, Xiaoyan (1)

Author affiliation: (1) School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou; 014010, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 2

Issue date: February 25, 2022

Publication year: 2022

Pages: 274-281

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The existing methods for monitoring the cow¡¯s dietetic behavior do not allow monitoring of multiple cows simultaneously through a single device. A multi-objective cow dietetic behavior identification method was proposed based on the YOLO v3 algorithm. According to the difference in the goals, the cows to be monitored were classified to three groups to achieve dietetic behavior monitoring of multiple cows with a single device. However, the YOLO v3 algorithm has some disadvantages, such as high computational cost, large energy consumption, and strong equipment dependence. So the lottery ticket hypothesis was referred to apply this approach. And an iterative magnitude pruning algorithm for the identification of cow dietetic behavior based on the YOLO v3 network was proposed. Using this approach, the number of parameters was decreased by 87.04%, the mean average precision (mAP) value reached 79.9%, which was increased by 4.2 percentage points. Nevertheless, results proved that through the iterative magnitude pruning technique, the cow behavior monitoring task was feasible at a reduced cost. The effectiveness of screening out the optimal sparse subnetwork from the cow dietetic behavior identification model based on the lottery ticket hypothesis was verified. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 23

Main heading: Object detection

Controlled terms: Behavioral research? - ?Energy utilization? - ?Image recognition? - ?Iterative methods

Uncontrolled terms: Behavior identifications? - ?Behavior-based? - ?Behaviour monitoring? - ?Cow feeding? - ?Dairy cow? - ?Detection methods? - ?Feeding behavior? - ?Iterative magnitude pruning? - ?Lottery ticket hypothesis? - ?Multi objective

Classification code: 461.4 Ergonomics and Human Factors Engineering? - ?525.3 Energy Utilization? - ?723.2 Data Processing and Image Processing? - ?921.6 Numerical Methods? - ?971 Social Sciences

Numerical data indexing: Percentage 7.99E+01%, Percentage 8.704E+01%

DOI: 10.6041/j.issn.1000-1298.2022.02.029

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village