农业机械学报

2022年第8期共收录49篇

1. Yield Estimation Method of Ningxia Wolfberry Using Hyperspectral Images Based on CNN-S-GPR

Accession number: 20224513059915

Title of translation: CNN - S - GPR

Authors: Liu, Libo (1); Wang, Tao (1); Zhang, Peng (1)

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

Corresponding author: Zhang, Peng(pengzhang123@foxmail.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 250-257

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problems of the existing remote sensing yield estimation methods that do not model the dependence between channels and ignore integrating other features outside the image, an interannual crop yield estimation method based on CNN S GPR was proposed for hyperspectral images, taking Ningxia wolfberry yield as an example. Firstly, histogram statistics, histogram normalization and time series fusion were used to construct the data set, which realized the fusion of multi-band and multitemporal images. Secondly, using convolutional neural networks to extract features from the data set; and then the channel attention mechanism was used to characterize the importance of different channels. Finally, Gaussian process regression (GPR) was introduced to explicitly integrate image features and spatial location features further improved the accuracy of production estimation. The test results showed that compared with that of other yield estimation models, MRE and RMSE of this model were decreased from 0.44 percentage points to 0.95 percentage points and from 52.48 t to 82.65 t, respectively, and the coefficient of determination reached 0.91. It realized the complex fitting of the output of wolfberry in 16 counties of Ningxia during the year, which was of great significance to the agricultural planning layout, policy adjustment and sustainable development. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 22

Main heading: Convolution

Controlled terms: Agriculture? - ?Convolutional neural networks? - ?Gaussian distribution? - ?Gaussian noise (electronic)? - ?Graphic methods? - ?Image enhancement? - ?Remote sensing? - ?Spectroscopy? - ?Time series

Uncontrolled terms: Attention mechanisms? - ?Channel attention mechanism? - ?Convolutional neural network? - ?Data set? - ?Estimation methods? - ?Gaussian process regression? - ?HyperSpectral? - ?Hyperspectral image? - ?Wolfberry? - ?Yield estimation

Classification code: 716.1 Information Theory and Signal Processing? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?922.1 Probability Theory? - ?922.2 Mathematical Statistics

DOI: 10.6041/j.issn.1000-1298.2022.08.026

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

2. Disturbance Rejection Control for Cable-driven Aerial Manipulator Applied on Water Samples

Accession number: 20224513059685

Title of translation:

Authors: Ding, Li (1); Yao, Yong (1); Chao, Yuan (1); Wang, Yaoyao (2); Wu, Hongtao (2)

Author affiliation: (1) College of Mechanical Engineering, Jiangsu University of Technology, Changzhou; 213001, China; (2) College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing; 210016, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 452-458

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Cable-driven aerial manipulator is considered as a novel robotic system which contains an aircraft and a multiple degree-of-freedom manipulator. The cable-driven manipulator is a typical nonlinear system with extremely complex dynamics, which may lead to inadequate control performance when subjected to lumped disturbances. A disturbance rejection controller was proposed to enhance the tracking performance of the aerial manipulator in joint space faced water samples at drain mouth. This controller synthesized fast continuous nonsingular terminal sliding mode technique and linear extended state observer. Firstly, the structural design of the aerial manipulator was introduced and dynamics model considering flexible joint was established. Secondly, the linear extended state observer was used to estimate and compensate the lumped disturbances, and fast continuous nonsingular terminal sliding mode technique was applied to ensure the system states can converge in finite time and restrain the chattering of the control torques. Furthermore, stability of the controller was proved by Lyapunov theory. Lastly, the efficiency of the proposed controller was tested through visual simulation and ground water sampling experiments. The results showed that the proposed controller had faster converge, stronger robustness, higher precision, and greater performance of disturbance rejection compared with the other two controller, which can satisfy the needs of water samples. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 25

Main heading: Antennas

Controlled terms: Cables? - ?Controllers? - ?Degrees of freedom (mechanics)? - ?Disturbance rejection? - ?Groundwater? - ?Manipulators? - ?State estimation? - ?Structural design

Uncontrolled terms: Aerial manipulator? - ?Cable-driven? - ?Extended state observer? - ?Linear extended state observer? - ?Lumped disturbance? - ?Non-singular terminal sliding modes? - ?Rejection controls? - ?Sliding mode techniques? - ?Terminal sliding mode? - ?Water samples

Classification code: 408.1 Structural Design, General? - ?444.2 Groundwater? - ?731 Automatic Control Principles and Applications? - ?731.1 Control Systems? - ?732.1 Control Equipment? - ?931.1 Mechanics

DOI: 10.6041/j.issn.1000-1298.2022.08.049

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

3. Optimization and Experiment of Oil Sunflower Combined Harvester Cleaning Device

Accession number: 20224513059904

Title of translation:

Authors: Zhang, Xuejun (1); Zhang, Yunhe (1); Shi, Zenglu (1); Ma, Shaoteng (1); Huang, Shuang (1); Cheng, Jinpeng (1)

Author affiliation: (1) School of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi; 830052, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 103-113

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The main structure and working parameters of the cleaning device of oil sunflower combine harvester were determined through the kinematic analysis of the mechanism and the force analysis of the material, in view of the problems of high seed trash rate and loss rate of the cleaning operation in the process of oil sunflower combine harvesting. The results of the single-factor test showed that the optimal working range of the cleaning device was 1 100 ~ 1 300 r/min for fan speed, 3 ~ 5 Hz for vibration frequency and 20° ~ 40° for the inclination angle of the wind separator. The Box - Behnken test was designed, the response surface regression model was established, and the parameters were optimized. The results showed that the order of significance of each test factor on the trash content rate and the loss rate was fan speed, vibration frequency, and the tilting angle of the splitter; when the fan speed was 1 200 r/min, the vibration frequency was 4 Hz, and the tilting angle of the splitter was 27°, the test results showed that the trash content of the oil sunflower seeds was higher than that of the other seeds. When the fan speed was 1 200 r/min, the vibration frequency was 4 Hz, and the tilting angle of the splitter was 27°, the test results showed that the seed content rate of oil sunflower was 4.25% and the seed loss rate was 1.82%, which meets the national standard requirements of cleaning of oil sunflower combined harvester. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 17

Main heading: Harvesters

Controlled terms: Cleaning? - ?Regression analysis? - ?Sunflower oil? - ?Testing

Uncontrolled terms: Cleaning devices? - ?Fan speed? - ?Loss rates? - ?Main structure? - ?Material characteristics? - ?Oil sunflower combined harvester? - ?Optimisations? - ?Parameter optimization? - ?Tilting angle? - ?Vibration frequency

Classification code: 802.3 Chemical Operations? - ?804.1 Organic Compounds? - ?821.1 Agricultural Machinery and Equipment? - ?822.3 Food Products? - ?922.2 Mathematical Statistics

Numerical data indexing: Angular velocity 3.34E+00rad/s, Angular velocity 5.01E+00rad/s, Frequency 3.00E+00Hz to 5.00E+00Hz, Frequency 4.00E+00Hz, Percentage 1.82E+00%, Percentage 4.25E+00%

DOI: 10.6041/j.issn.1000-1298.2022.08.011

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

4. Design and Experiment of Microwave Infrared Vibrating-bed Dryer

Accession number: 20224513059501

Title of translation:

Authors: Su, Dianbin (1); Zeng, Shiyu (2); Lu, Weiqiao (2); Li, Dong (2); Zhao, Dan (3); Zhao, Donglin (3)

Author affiliation: (1) School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo; 255000, China; (2) College of Engineering, China Agricultural University, Beijing; 100083, China; (3) Chinese Academy of Agricultural Mechanization Sciences Group Co., Ltd., Beijing; 100083, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 423-434

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the problems of uneven drying during microwave drying and limited penetration during infrared drying for agricultural products, a microwave infrared vibrating-bed dryer (MIVBD) was developed. In the structure design, the uniformity of the microwave distribution in the resonator was analyzed by COMSOL, and the arrangement of the microwave source was optimized. The infrared source was isolated from the microwave resonator through the porous panel, which ensured the high efficiency of infrared heat radiation and the non-interference of microwave and infrared. The vibration system was made from polyphenylene sulfide (PPS) and other materials inside the resonant cavity, steel structure materials outside the resonant cavity, and agricultural products vibrate through vibration motor and rubber spring. Fresh ginger slices were selected as experimental materials. The drying efficiency, uniformity, and color of MIVBD were studied. When the material temperature exceeded 60, microwave and infrared stopped working. The results showed that the drying efficiency of MIVBD was improved by 14 29% . Infrared radiation and vibration can significantly improve the uniformity of material surface temperature distribution. The temperature uniformity of MIVBD was the best, and its temperature non-uniformity coefficient was 2 28% . The MIVBD significantly reduced the drying energy consumption and improved the related quality. The research result can provide theoretical basis and technical support for the application of microwave and infrared radiation in fruit and vegetable drying. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 34

Main heading: Microwaves

Controlled terms: Cavity resonators? - ?Drying? - ?Energy utilization? - ?Food additives? - ?Infrared radiation? - ?Light sources? - ?Rubber? - ?Sulfur compounds

Uncontrolled terms: Drying efficiency? - ?Ginger? - ?Higher efficiency? - ?Infrared source? - ?Microwave distributions? - ?Microwave drying? - ?Microwave sources? - ?Structure design? - ?Vibrating bed dryer? - ?Vibration bed

Classification code: 525.3 Energy Utilization? - ?711 Electromagnetic Waves? - ?741.1 Light/Optics? - ?803 Chemical Agents and Basic Industrial Chemicals? - ?818.1 Natural Rubber? - ?822.3 Food Products

Numerical data indexing: Percentage 2.80E+01%, Percentage 2.90E+01%

DOI: 10.6041/j.issn.1000-1298.2022.08.046

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

5. Water Pushing Flow Characteristics of Flapping Hydrofoil Device in Small River

Accession number: 20224513059371

Title of translation:

Authors: Hua, Ertian (1); Chen, Wanqian (1); Tang, Shouwei (1); Xie, Rongsheng (1); Guo, Xiaomei (2); Xu, Gaohuan (3)

Author affiliation: (1) College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou; 310023, China; (2) Zhejiang Engineering Research Center for Advanced Hydraulic Equipment, Hangzhou; 310018, China; (3) School of Mechanical and Automotive Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou; 310018, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 154-162

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In the small plain river with almost zero head, the traditional water pumps are faced with a series of problems, such as low efficiency, poor stability and high erection cost. In order to improve the hydrodynamic conditions of small plain rivers, an innovative method of using flapping hydrofoil to promote the flow of water in small rivers was proposed. Based upon this, the calculation model of flapping hydrofoil was established, and the effects of different flapping frequencies and different incoming flow velocities on the hydrodynamic performance of flapping hydrofoil were numerically simulated. A test bench for the hydrodynamic performance of flapping hydrofoil was designed and verified in the circulating channel. The results showed that the flow of flapping hydrofoil device was directly proportional to its flutter frequency, and the head was directly proportional to the square of frequency. At a fixed frequency, the tail vortex of flapping hydrofoil gradually formed a double row anti-Karmen vortex street from the chaotic state with the increase of velocity, and the pumping efficiency of the device gradually increased to the optimal efficiency point. The flow velocity continued to increase, the anti-Karmen vortex street changed to a single row, and the efficiency decreased rapidly. In addition, the flapping hydrofoil device had the advantages of low head and large flow, and had unique advantages in pushing water in plain rivers. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 26

Main heading: Efficiency

Controlled terms: Flow velocity? - ?Hydrodynamics? - ?Hydrofoils? - ?Rivers? - ?Vortex flow

Uncontrolled terms: Erection costs? - ?Flapping hydrofoil? - ?Flow characteristic? - ?Hydrodynamic conditions? - ?Hydrodynamics performance? - ?Poor stability? - ?Small rivers? - ?Test verification? - ?Vortex street? - ?Water pump

Classification code: 631 Fluid Flow? - ?631.1 Fluid Flow, General? - ?913.1 Production Engineering? - ?943.2 Mechanical Variables Measurements

DOI: 10.6041/j.issn.1000-1298.2022.08.016

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

6. Compliance Control Strategy of Parallel Robot Based on External Force Estimation

Accession number: 20224513059678

Title of translation:

Authors: Ni, Tao (1); Sun, Xu (1); Li, Dong (2); Zhao, Yahui (1); Zhang, Panhong (1); Deng, Yingjie (3)

Author affiliation: (1) College of Vehicle and Energy, Yanshan University, Qinhuangdao; 066004, China; (2) College of Mechanical and Aerospace Engineering, Jilin University, Changchun; 130022, China; (3) College of Mechanical Engineering, Yanshan University, Qinhuangdao; 066004, China

Corresponding author: Deng, Yingjie(dyj_dl@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 443-451

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problem of precise position control and compliance control of parallel robot in the process of operation, a compliance control strategy of parallel robot based on external force estimation was proposed. The compliance strategy can realize the high-performance dynamic interaction between position and force of parallel robot in the process of operation. In the implementation of compliance control based on external force estimation, considering the high cost of contact force sensor, a sensorless external force estimation method was proposed. Firstly, the dynamic model of parallel robot and the dynamic model of servo motion system were established, and the changes of robot joint force under external force were estimated by using the established dynamic model and the current feedback value of motor. Secondly, according to the estimated joint force of the parallel robot, the position based impedance control was designed. The position based impedance control can change the rigid contact between the end effector of the parallel robot and the environment into flexible contact, so as to ensure the operation accuracy and compliance of the parallel robot. Finally, the appropriate impedance control parameters were selected to simulate and analyze the proposed compliance control strategy, and the experimental verification was carried out on the built experimental platform. The experimental results showed that the proposed method can realize the accurate, stable and fast compliance operation of the parallel robot. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 26

Main heading: Compliance control

Controlled terms: Dynamic models? - ?End effectors? - ?Position control? - ?Process control

Uncontrolled terms: Compliance strategies? - ?Control strategies? - ?Dynamic interaction? - ?Dynamics models? - ?External force estimation? - ?Impedance control? - ?Joint forces? - ?Parallel robots? - ?Performance dynamics? - ?Precise position

Classification code: 731.3 Specific Variables Control? - ?731.5 Robotics? - ?921 Mathematics

DOI: 10.6041/j.issn.1000-1298.2022.08.048

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

7. Extraction of Rice Planting Area Based on MODIS-EVI Time Series and Phenological Characteristics

Accession number: 20224513059797

Title of translation: -MODIS EVI

Authors: Tian, Miao (1); Shan, Jie (1); Lu, Bihui (1); Huang, Xiaojun (1)

Author affiliation: (1) Institute of Agricultural Information, Jiangsu Academy of Agricultural Sciences, Nanjing; 210014, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 196-202

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Rice is the second largest crop in China, and its planting area and spatial distribution information are the main basis for the adjustment of crop planting structure. Phenology is the reflection of the interaction between vegetation physiological and ecological processes and environmental changes, and the use of time series remote sensing data can help reveal the phenological characteristics of rice. The moderate resolution imaging spectroradiometer (MODIS) was used as the data source, the enhanced vegetation index (EVI) was selected to reconstruct the EVI time series and extract rice phenological information in 2019 and 2020. Area total and amplitude were selected as extraction indicators, combining with the single-point EVI time series in 2019 and the statistical data of rice planting area, the thresholds of area total and amplitude for 13 prefecture-level cities in Jiangsu Province were determined. According to the obtained thresholds, the rice planting area in Jiangsu Province in 2020 was extracted. Finally, the accuracy of the extraction results was verified by using the statistical data of the rice planting area in 2020 and Landsat8 images. The results showed that the overall accuracy of rice extraction was 92.55%, the Kappa coefficient was 0.846 3, the mapping accuracy of rice was 92.90%, the user accuracy was 89.09%, and the consistency with statistical data was 93.90% . The research results can provide a reference value for extracting crop planting area in large areas. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 25

Main heading: Time series

Controlled terms: Crops? - ?Data mining? - ?Extraction? - ?Image processing? - ?Radiometers? - ?Remote sensing? - ?Vegetation mapping

Uncontrolled terms: Area-based? - ?Enhanced vegetation index? - ?Jiangsu province? - ?Moderate resolution imaging spectroradiometer-enhanced vegetation index? - ?Moderate-resolution imaging spectroradiometers? - ?Planting area extraction? - ?Planting areas? - ?Rice phenology? - ?Statistical datas? - ?Times series

Classification code: 405.3 Surveying? - ?723.2 Data Processing and Image Processing? - ?802.3 Chemical Operations? - ?821.4 Agricultural Products? - ?922.2 Mathematical Statistics? - ?944.7 Radiation Measuring Instruments

Numerical data indexing: Percentage 8.909E+01%, Percentage 9.255E+01%, Percentage 9.29E+01%, Percentage 9.39E+01%

DOI: 10.6041/j.issn.1000-1298.2022.08.020

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

8. Effect of Ambient Wind Speed on Downwash Airflow and Droplet Deposition for Six-rotor UAV

Accession number: 20224513059778

Title of translation:

Authors: Zhang, Jian (1, 2); Zhang, Chao (2); Chen, Qing (1, 2); Zhou, Hongping (1, 2); Yang, Fengbo (2); Ru, Yu (1, 2)

Author affiliation: (1) Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nanjing Forestry University, Nanjing; 210037, China; (2) College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing; 210037, China

Corresponding author: Chen, Qing(qchen@njfu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 74-81

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Small multi-rotor plant protection UAVs have problems such as pesticide drift and uneven droplet deposition. The numerical simulation of the two-phase flow field of coupled six-rotor UAV downwash airflow field and spray droplets was carried out by combining RANS equation, SST k w turbulence model and SIMPLE algorithm, and the effect of ambient wind speed on UAV downwash airflow and pesticide droplet deposition was explored. The accuracy of the numerical model was verified by the relative error within 15% between the spatial point wind speed test and the simulated value. The numerical simulation results showed that the incoming flow caused a vortex in the UAV downwash air field, and the impact of the incoming flow velocity on the flow field below the fuselage was greater than that on the flow field below the rotor. The stability of the downwash wind field was reduced due to large vortexes caused by the side wind. Symmetrical placement of nozzles under the rotor improved droplet deposition uniformity. The incoming flow caused droplet convolution, and droplet drift was increased as the incoming velocity increased. In combination with various factors, the UAV nozzles should be symmetrically arranged under the rotor blades. In the actual operation of six-rotor plant protection UAV, the UAV operation direction needed to be parallel to the outside wind direction in a clear environment, so as to reduce droplet drift and improve pesticide utilization. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 24

Main heading: Numerical models

Controlled terms: Air? - ?Computational fluid dynamics? - ?Deposition? - ?Drops? - ?Flow fields? - ?Flow velocity? - ?Pesticides? - ?Spray nozzles? - ?Turbulence models? - ?Two phase flow ? - ?Unmanned aerial vehicles (UAV)? - ?Vortex flow? - ?Wind speed

Uncontrolled terms: Ambient wind speed? - ?Ambients? - ?Coupled wind field? - ?Downwash airflow? - ?Droplet deposition? - ?Plant protection? - ?Small six-rotor plant protection UAV? - ?Spray field? - ?Wind field? - ?Wind speed

Classification code: 615.8 Wind Power (Before 1993, use code 611 )? - ?631 Fluid Flow? - ?631.1 Fluid Flow, General? - ?652.1 Aircraft, General? - ?723.5 Computer Applications? - ?802.3 Chemical Operations? - ?803 Chemical Agents and Basic Industrial Chemicals? - ?804 Chemical Products Generally? - ?921 Mathematics? - ?931.1 Mechanics? - ?943.2 Mechanical Variables Measurements

Numerical data indexing: Percentage 1.50E+01%

DOI: 10.6041/j.issn.1000-1298.2022.08.008

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

9. Crop Diseases Recognition Method via Fusion Color Mask and Self-attention Mechanism

Accession number: 20224513059240

Title of translation:

Authors: Yu, Ming (1); Li, Ruoxi (2); Yan, Gang (1); Wang, Yan (3); Wang, Jianchun (4); Li, Yang (4)

Author affiliation: (1) School of Artificial Intelligence, Hebei University of Technology, Tianjin; 300401, China; (2) School of Information Engineering, Hebei University of Technology, Tianjin; 300401, China; (3) College of Information Engineering, Tianjin University of Commerce, Tianjin; 300401, China; (4) Tianjin Academy of Agricultural Sciences, Tianjin; 300190, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 337-344

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: To reduce the loss of crop diseases, a large number of chemicals are used for disease control. However, due to the untimely and inaccurate judgment of the disease, chemical agents are abused, which also has a great impact on the ecological environment and food safety. Therefore, it is urgent to develop accurate crop disease recognition based on images. In the image recognition of crop diseases, the shape, region, and color of leaf spots are the main indexes to distinguish different types of diseases. In order to extract more accurate and rich color features and spatial features of leaf spots, and solve the problems of coarse fine-grained classification of disease severity and low recognition accuracy, a fusion color mask and self-attention network (FCMSAN) was proposed. FCMSAN was composed of a color mask network (CMN) and a channel adaptive self-attention network (CASAN). CMN can improve the ability of color feature extraction by learning the color features of leaf spots. CASAN can extract the disease spot features in the global scope and add the location features and channel adaptive features of the disease spot, which can locate the leaf disease spot area accurately and comprehensively. Finally, the outputs of CMN and CASAN were fused by transfer fusion layer (TFL). The experimental results showed that the classification Top 1 accuracy reached 87 97% and the average F1 value can reach 84 48% in the fine-grained identification of 61 types of crop diseases. Finally, the effectiveness of the proposed method for crop disease recognition was verified by visualization experiments. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 27

Main heading: Feature extraction

Controlled terms: Color? - ?Crops? - ?Disease control? - ?Extraction? - ?Image recognition

Uncontrolled terms: Attention mechanisms? - ?Channel adaptive? - ?Color mask? - ?Color mask network? - ?Crop disease? - ?Features extraction? - ?Fine grained? - ?Fine-grained identification? - ?Leaf spots? - ?Self-attention mechanism

Classification code: 741.1 Light/Optics? - ?802.3 Chemical Operations? - ?821.4 Agricultural Products

Numerical data indexing: Percentage 4.80E+01%, Percentage 9.70E+01%

DOI: 10.6041/j.issn.1000-1298.2022.08.036

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

10. Soil Wetting Front Detection Based on Frequency Domain to Time Domain Conversion of Microwave

Accession number: 20224513059237

Title of translation:

Authors: Xu, Jinghui (1); Li, Xiaobin (1)

Author affiliation: (1) College of Water Resources and Architectural Engineering, Northwest A&F University, Shaanxi, 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: 8

Issue date: August 2022

Publication year: 2022

Pages: 371-378

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Determining the location of the soil wetting front is of great significance for optimizing irrigation decision-making and realizing intelligent irrigation. The automatic device for detecting the soil wet-dry interface has not been commercialized at present. A soil wetting front measurement system was proposed with a vector network analyzer based on the research of TDR impedance measurement. Through TDR waveform reconstruction, the shortcomings of traditional TDR systems were effectively solved, such as insufficient bandwidth, long duration of rising edge of pulse and unclear boundary position detection. The reliability of the TDR waveform reconstruction method model was verified by simulation with ADS software. The locations of oil-water interface, dry-wet interface of two layers of soil with different moisture contents, and dry-wet interface of three layers of soil with different moisture contents were measured. The comparison between the results obtained by using the built model and the results obtained by the TDR method demonstrated the accuracy of the measurement. The theoretical simulation results carried out by ADS software showed that the TDR waveform converted from high frequency domain to time domain can accurately measure the position of impedance discontinuities. Through the two-layer and three-layer soil measurement experiments with different water contents, it was shown that this test method can be applied to actual production measurement. The accuracy of the reflection signal conversion model based on potable vector network analyzer in the actual application of determining the location of the soil moisture front provided a theoretical reference for the determination of the distributed soil moisture content. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 30

Main heading: Soil moisture

Controlled terms: Decision making? - ?Electric network analyzers? - ?Frequency domain analysis? - ?Irrigation? - ?Location? - ?Moisture determination? - ?Reflectometers? - ?Soil testing? - ?Time domain analysis? - ?Wetting

Uncontrolled terms: ’Dry’ [? - ?Domain conversion? - ?Frequency domain to time domain conversion? - ?Frequency domains? - ?Potable vector network analyzer? - ?Soil wetting front? - ?Time domain? - ?Vector-network analyzers? - ?Waveform reconstruction? - ?Wetting fronts

Classification code: 483.1 Soils and Soil Mechanics? - ?821.3 Agricultural Methods? - ?912.2 Management? - ?921 Mathematics? - ?921.3 Mathematical Transformations? - ?941.3 Optical Instruments? - ?944.2 Moisture Measurements

DOI: 10.6041/j.issn.1000-1298.2022.08.040

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

11. Behavior Recognition and Tracking Method of Group housed Pigs Based on Improved DeepSORT Algorithm

Accession number: 20224513059600

Title of translation: DeepSORT

Authors: Tu, Shuqin (1); Liu, Xiaolong (1); Liang, Yun (1); Zhang, Yu (2); Huang, Lei (1); Tang, Yinjie (1)

Author affiliation: (1) College of Mathematics and Informatics, South China Agricultural University, Guangzhou; 510642, China; (2) College of Electronic Engineering, South China Agricultural University, Guangzhou; 510642, China

Corresponding author: Zhang, Yu(zhangyu@scau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 345-352

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Behavior recognition and tracking of group-housed pigs are an effective aid to monitor pigs’ health status in smart farming. In real farming scenarios, it is still challenging to automatically track the behavior of group-housed pigs by using computer vision techniques due to the pigs’ overlapping occlusion and illumination change, which cause the identity (ID) of pig to switch wrongly. To improve the situation, an improved DeepSORT algorithm of behavior tracking based on YOLO v5s was proposed. The improvement of the algorithm included two parts. One was that the trajectory processing and data association were improved in the scene where there was a fixed number of pigs. This reduced ID switch and enhanced tracking stability. The other was that the behavior information from YOLO v5s detection algorithm was introduced into the tracking algorithm, thereby achieving behavior recognition of pigs in tracking. The experimental results showed that YOLO v5s algorithm had a mAP of 99.3% and an F1 of 98.7% in object detection. In terms of re-identification, the Top – 1 accuracy of the experiment was 99.88% . In terms of tracking, the method achieved a favorable performance with a MOTA of 91.9%, an IDF1 of 89.2% and an IDS of 33. Compared with the original DeepSORT algorithm, the proposed method improved 1.0 percentage points and 16.9 percentage points in MOTA and IDF1 respectively, and decreased 83.8% in IDS. This showed that the improved DeepSORT algorithm was able to achieve behavior tracking of group-housed pigs with stable ID. The method can provide technical support for no-contact automatic monitoring of pigs. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 30

Main heading: Object detection

Controlled terms: Behavioral research? - ?Data handling? - ?Mammals? - ?Object recognition? - ?Tracking (position)

Uncontrolled terms: Behavior tracking? - ?Behaviour recognition? - ?DeepSORT? - ?Group-housed pig? - ?Health status? - ?Multi-object tracking? - ?Objects detection? - ?Percentage points? - ?Recognition methods? - ?Tracking method

Classification code: 461.4 Ergonomics and Human Factors Engineering? - ?723.2 Data Processing and Image Processing? - ?971 Social Sciences

Numerical data indexing: Percentage 8.38E+01%, Percentage 8.92E+01%, Percentage 9.19E+01%, Percentage 9.87E+01%, Percentage 9.93E+01%, Percentage 9.988E+01%

DOI: 10.6041/j.issn.1000-1298.2022.08.037

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

12. Apple Leaf Lesion Detection Based on PSA-YOLO Network

Accession number: 20224513059961

Title of translation: PSA YOLO

Authors: Chao, Xiaofei (1); Chi, Jingke (2); Zhang, Jiwei (3); Wang, Mengjie (3); Chen, Yao (1); Liu, Bin (1)

Author affiliation: (1) College of Information Engineering, Northwest A&F University, Shaanxi, Yangling; 712100, China; (2) College of Water Resources and Architectural Engineering, Northwest A&F University, Shaanxi, Yangling; 712100, China; (3) College of Mechanical and Electronic Engineering, Northwest A&F University, Shaanxi, 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: 8

Issue date: August 2022

Publication year: 2022

Pages: 329-336

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to improve the detection performance of YOLOv4 object detection algorithm for small apple leaf lesions, a PSA – YOLO network with low computational cost and high accuracy was proposed, which integrated a Focus layer and the pyramid squeeze attention block in the CSPDarknet, and the strategy of network depth reduction was adopted. Finally, the PSA – CSPDarknet – 1 was built on the basis of CSPDarknet53. The experimental results showed that the computational complexity of PSA – CSPDarknet – 1 was reduced by 30.4% compared with the CSPDarknet53 and the detection accuracy of the network for small lesions (covering area less than 32 x 32 pixels) was improved by 2.9 percentage points. In the neck, a spatial pyramid convolution and pooling module was built to enhance multi-scale information extraction in spatial dimensions with a small computational cost, and α-CIoU loss function for the bounding box was used to improve the detection accuracy of bounding boxes for improving the detection accuracy of lesions under the high IoU threshold. According to the experimental results, the proposed PSA – YOLO network achieved 88.2% AP50 and it achieved 49.8% COCO AP@ [0.5: 0.05: 0.95] in the apple leaf lesion dataset, which was 3.5 percentage points higher than that of YOLOv4. At the same time, the feature extraction ability of the network for small lesions was more improved, and APS was 3.9 percentage points higher than that of YOLOv4, respectively. The detection speed on a single NVIDIA GTX TITAN V reached 69 frames per second, which was 13 frames per second faster than that of YOLOv4. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 30

Main heading: Object detection

Controlled terms: Fruits? - ?Object recognition

Uncontrolled terms: Apple leaf lesion? - ?Bounding-box? - ?Computational costs? - ?Detection accuracy? - ?Frames per seconds? - ?Objects detection? - ?Percentage points? - ?PSA – YOLO network? - ?Small lesions? - ?YOLOv4 network

Classification code: 723.2 Data Processing and Image Processing? - ?821.4 Agricultural Products

Numerical data indexing: Percentage 3.04E+01%, Percentage 4.98E+01%, Percentage 8.82E+01%

DOI: 10.6041/j.issn.1000-1298.2022.08.035

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

13. Design and Experiment of Precision Seed Metering Device for Broad Bean with Chain Spoon Flipping Seed Cleaning

Accession number: 20224513059289

Title of translation:

Authors: Lai, Qinghui (1); Xie, Guanfu (1); Su, Wei (1); Zhao, Jinwen (1); Sun, Wenqiang (1); Chen, Zhaoyang (1)

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

Corresponding author: Su, Wei(laisubo@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 82-92

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the big difference in the three-axis size of broad bean seeds, which leads to the difficulty of seed clearing and easy reseeding, a precision seed metering device for broad bean was designed with a chain spoon flip-over clearing type. The structural parameters of the key components were determined through theoretical calculations, and the dynamic model of the seed cleaning process was established. The factors that affected the seeding performance indicators were obtained as follows: spring tension, seed layer height, operating speed, seed cleaning area, inclination of the chain and the inclination of the chain in the filling zone. The DEM - MBD coupling method was used to further determine the influencing factors, and the spring stiffness coefficient was checked, and the spring tension was determined to be 50 N and the seed layer height to be 75 mm. Taking the inclination angle of the seeding chain in the filling area, the inclination angle of the seeding chain in the cleaning area and the operating speed as the test factors, the qualified index, the replay index, and the missed seeding index as the test indicators, and the quadratic regression orthogonal rotation combined test method was used for the bench test. The test results showed that the optimal parameter combination was the operating speed of 4.25 km/h, the inclination of the seeding chain in the clearing zone was - 2. 9°, and the inclination of the seeding chain in the filling zone was 74°. It was obtained that the qualified index was 93.83%, the replay index was 5.67%, and the missed seeding index was 0.50%, which met the requirements of broad bean seeding. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 18

Main heading: Filling

Controlled terms: Cleaning? - ?Testing

Uncontrolled terms: Broad bean? - ?Chain spoon flipping seed clearing style? - ?DEM MBD? - ?Inclination angles? - ?Operating speed? - ?Orthogonal experiment? - ?Precision seed-metering devices? - ?Seed layer? - ?Seed-metering device? - ?Spring tension

Classification code: 691.2 Materials Handling Methods? - ?802.3 Chemical Operations

Numerical data indexing: Force 5.00E+01N, Percentage 5.00E-01%, Percentage 5.67E+00%, Percentage 9.383E+01%, Size 4.25E+03m, Size 7.50E-02m

DOI: 10.6041/j.issn.1000-1298.2022.08.009

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

14. Path Planning of Mobile Robot Based on Improved Obstacle Avoidance Strategy and Double Optimization Ant Colony Algorithm

Accession number: 20224513068851

Title of translation:

Authors: Hao, Kun (1); Zhang, Huijie (1); Li, Zhisheng (1); Liu, Yonglei (1)

Author affiliation: (1) School of Computer and Information Engineering, Tianjin Chengjian University, Tianjin; 300384, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 303-312 and 422

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the problems of traditional ant colony algorithm in mobile robot path planning, such as low convergence speed, low quality of convergence path, deadlock, and poor dynamic obstacle avoidance capability, a path planning method based on improved obstacle avoidance strategy and double optimization ant colony algorithm (DOACO) was proposed. Firstly, a probability transfer method was designed. The pseudo-random probability adjustment factor was introduced to adjust the selection degree of high-quality path points in the probability transfer function. It avoided the problem that the probability of selecting high-quality path points in traditional ant colony algorithm was too low. Secondly, the weight of each component of the probability transfer function was adaptively adjusted to optimize the convergence speed of the algorithm. Then the elite saving strategy was introduced to prevent the data falling back of the algorithm. The elite saving strategy can also improve the quality of the path. In order to further improve the quality of path, a path optimization strategy was proposed based on key path points. This strategy tried to generate better path segments by looking for key path points. Finally, a obstacle avoidance strategy based on obstacle avoidance behavior and local path replanning was proposed to solve the problems of poor obstacle avoidance ability and lack of real-time performance. The experimental results showed that compared with the traditional ant colony algorithm, DOACO algorithm can not only plan a better path, but also can have a faster convergence speed, and the obstacle avoidance strategy can effectively deal with a variety of collision situations. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 26

Main heading: Motion planning

Controlled terms: Ant colony optimization? - ?Probability? - ?Robot programming? - ?Transfer functions

Uncontrolled terms: Ant colonies algorithm? - ?Convergence speed? - ?Deadlock problems? - ?High quality? - ?Low qualities? - ?Obstacle avoidance strategy? - ?Obstacles avoidance? - ?Path optimizations? - ?Robot path-planning? - ?Savings strategy

Classification code: 723.1 Computer Programming? - ?731.5 Robotics? - ?921 Mathematics? - ?921.5 Optimization Techniques? - ?922.1 Probability Theory

DOI: 10.6041/j.issn.1000-1298.2022.08.032

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

15. General Method for Discrete Element Parameters Calibration of Goat Manure with Different Moisture Contents

Accession number: 20224513059937

Title of translation:

Authors: Zhu, Xinhua (1); Fu, Shengkang (2); Li, Xudong (1); Wei, Yuqiang (1); Zhao (1)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Northwest A&F University, Shaanxi, Yangling; 712100, China; (2) Sichuan Aerospace Vocational College, Chengdu; 610100, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 34-41

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: To solve the problem that the calibration method of discrete element simulation parameters was not universal and practical due to the large difference in moisture content of livestock and poultry manure, the discrete element parameters of goat manure with different moisture contents were studied with the resting angle as the response value. The moisture content - resting angle model was established with the cylinder lifting method, and the correlation coefficient was 0. 999 9. Based on the particle size distribution of goat manure, EDEM particle models of four kinds of particle sizes were established, and Hertz-Mindlin with JKR was used as the bonding model. Three significant parameters of JKR surface energy, rolling friction coefficient, and static friction coefficient between particles were selected from ten parameters by the Plackett-Burman test, climbing test, and Box-Behnken test. Then the resting angle-discrete element parameters model was established. The P-value of the model was less than 0. 000 1, and the relative error was less than or equal to 2. 42% . The moisture content-discrete element parameters model was constructed based on the moisture content resting-angle model and the resting angle discrete element parameters model. The engineering verification test with the side plate lifting method was conducted, and the relative error was less than or equal to 5. 37% . The results showed that the moisture content can be used to predict the discrete element parameters of goat manure directly, and the method had fast prediction speed with high accuracy at the same time. The research results provide a general and reliable method for determining discrete element parameters of goat manure. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 23

Main heading: Calibration

Controlled terms: Fertilizers? - ?Manures? - ?Moisture? - ?Moisture determination? - ?Particle size? - ?Particle size analysis? - ?Stiction

Uncontrolled terms: Different moisture contents? - ?Discrete elements? - ?EDEM? - ?General method? - ?Goat manure? - ?Lifting method? - ?Parameter model? - ?Parameters calibrations? - ?Relative errors? - ?Resting angle

Classification code: 804 Chemical Products Generally? - ?821.2 Agricultural Chemicals? - ?821.5 Agricultural Wastes? - ?944.2 Moisture Measurements? - ?951 Materials Science

Numerical data indexing: Percentage 3.70E+01%, Percentage 4.20E+01%

DOI: 10.6041/j.issn.1000-1298.2022.08.004

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

16. Reversal Hydrodynamic Characteristics of Axial Flow Pump System

Accession number: 20224513059221

Title of translation:

Authors: Zhang, Xiaowen (1); Tang, Fangping (1); Zhang, Wenpeng (2); Shi, Lijian (1); Ge, Hengjun (3); Yuan, Haixia (4)

Author affiliation: (1) College of Water Science and Engineering, Yangzhou University, Yangzhou; 225009, China; (2) Jining Water Conservancy Development Center, Jining; 272002, China; (3) Yangzhou Survey and Design Institute Co., Ltd., Yangzhou; 225009, China; (4) Huashe Design Group Co., Ltd., Yangzhou; 225009, China

Corresponding author: Tang, Fangping(tangfp@yzu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 163-172

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to explore the hydrodynamic characteristics of axial flow pump device under reverse operation condition, the reverse operation characteristics of an axial flow pump device with conventional one-way impeller were studied by experimental measurement combined with numerical simulation. The energy characteristics and internal flow characteristics of the axial flow pump device, including the reverse pump condition and the reverse power generation condition were analyzed. The results showed that the head and efficiency of reverse pumping by axial flow pump device with one-way impeller were low. The head at high efficiency point was 0.38 times of that at high efficiency point under conventional pump condition, and the efficiency at high efficiency point was 0.55 times of that under conventional pump condition. The pressure pulsation signal component under the reverse pump condition was relatively complex, and the flow pattern of the outlet channel of the pump device was poor. There was a large range of recirculation zone in the non-working face of the blade under different flow conditions. Under the reverse power generation condition, the maximum efficiency point shifted to the large flow rate, which appeared at the Qd = 1.63 flow rate condition. The range of the high efficiency zone was increased significantly, reaching 1.53 times of the pump condition, and it can still maintain a high level of hydraulic efficiency under the large flow rate condition. Under the condition of reverse power generation, the limiting current line of non-working face of pump blade was relatively smooth, and the pressure gradient distribution of blade working face was relatively uniform. The research results can provide a reference for the safe and stable operation of axial flow pump device under special utilization conditions. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 21

Main heading: Pumps

Controlled terms: Axial flow? - ?Flow patterns? - ?Flow rate? - ?Impellers

Uncontrolled terms: Axial flow pump? - ?Axial flow pump device? - ?Condition? - ?Higher efficiency? - ?Reverse characteristics? - ?Reverse power generation condition? - ?Reverse power generations? - ?Reverse pump condition? - ?Working face

Classification code: 601.2 Machine Components? - ?618.2 Pumps? - ?631 Fluid Flow? - ?631.1 Fluid Flow, General? - ?943.2 Mechanical Variables Measurements

DOI: 10.6041/j.issn.1000-1298.2022.08.017

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

17. Modeling and Simulation of Continuous Power Shift Process of Hydro-mechanical Continuously Variable Transmission

Accession number: 20224513059671

Title of translation:

Authors: Guo, Zhanzheng (1); Xu, Liyou (1); Sun, Dongmei (1); Zhang, Shuai (1)

Author affiliation: (1) School of Vehicle and Transportation Engineering, Henan University of Science and Technology, Luoyang; 471003, China

Corresponding author: Xu, Liyou(xlyou@haust.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 435-442

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Through the state switch of shifting mechanism and combined with speed regulation of hydraulic transmission system, the shift of hydro-mechanical transmission continuously variable transmission (HMCVT) was realized. The traditional method of shift was short intervals or cross, which would easily lead to power interruption and affected the quality. Based on the HMCVT of a heavy truck, the method of short overlap combination between segments was used to achieve continuous power shift. The dynamic analysis of the process of continuous power shift was studied in theory. The mathematical and simulation models of the process of continuous power shift were built. The process of continuous power shift were analyzed by simulation. The result of theoretical research and simulation were verified on the test bench. The research results showed that within the appropriate range of displacement ratio, the short overlap combination between the segments of the shifting mechanism can realize the continuous shifting of power. The power continuous switching process was divided into four stages: synchronous speed regulation, overlapping combination, power switching and rapid separation; in the power switching stage, the transmission ratio of the HMCVT was constant, which was determined by the parameters of the sub-convergence mechanism and the mechanical transmission mechanism, and it had nothing to do with the parameters of the hydraulic transmission system and the load; at the theoretical shift displacement ratio, the output speed of the HMCVT basically did not fluctuate; before or after the theoretical shift displacement ratio, the output speed of the HMCVT fluctuated greatly, resulting in a large shifting impact, the more the deviation from the theoretical switching point was, the greater the fluctuation range and switching impact were; in all three cases, the system power was continuously transmitted without interruption. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 39

Main heading: Transmissions

Controlled terms: Electric power transmission? - ?Mechanisms? - ?Switching

Uncontrolled terms: Continuous power shift? - ?Continuously variable transmission? - ?Displacement ratios? - ?Hydro-mechanical? - ?Hydro-mechanical continuously variable transmission? - ?Hydro-mechanical transmission? - ?Modeling? - ?Power? - ?Power shift? - ?Simulation

Classification code: 601.3 Mechanisms? - ?602.2 Mechanical Transmissions? - ?706.1.1 Electric Power Transmission

DOI: 10.6041/j.issn.1000-1298.2022.08.047

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

18. Spatio-temporal Variation of NDVI in Anhui Province under Influence of Human Activities

Accession number: 20224513059094

Title of translation:

Authors: Wei, Yuanyuan (1, 2); Sun, Shougang (1); Liang, Dong (1); Jia, Zhaohong (1, 2)

Author affiliation: (1) School of Internet, Anhui University, Hefei; 230039, China; (2) National Engineering Research Center for Agro-Ecological Big Data Analysis and Application, Anhui University, Hefei; 230601, China

Corresponding author: Jia, Zhaohong(jiazhaohong001@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 203-2012

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Based on the data of MODIS and NDVI from 2006 to 2020 and the spatial distribution data of gross domestic product (GDP), population (POP) and Land Cover in 2010 and 2015, the temporal and spatial changes of NDVI in Anhui Province and the influence of human activities on the spatial variability of NDVI were analyzed. The results showed that from 2006 to 2020, the NDVI of Anhui Province fluctuated between 0.535 and 0.568, showing an overall improvement trend. Its cumulative growth rate was 6.23% . The seasonal growth rate from high to low was: autumn (0.004 2a -1 ), winter (0.003 6a -1), summer (0.003 1a -1) and spring (0.002 9a -1). In the past 15 years, 69.17% of the NDVI area in Anhui Province was significantly improved or slightly improved. The improvement areas were mainly distributed in the south of the Yangtze River. Spring and winter made the greatest contribution to the improvement of NDVI. The areas where NDVI showed continuous improvement accounted for 42.36%, and the areas showing continuous degradation accounted for 17.23% . The areas of degraded NDVI were mainly distributed in capital cities and the places with rapid economic development. In terms of the impact of human activities, the explanatory power of GDP, POP and Land Cover on the spatial variability distribution of NDVI in 2010 were all over 27%, and the explanatory power in 2015 was all over 15% . It can be seen that GDP, POP and Land Cover all had a significant impact on the spatial distribution of NDVI. From 2006 to 2020, the NDVI of Anhui Province showed a continuous improvement trend in temporal and spatial changes. It showed that the green development of Anhui Province was advancing steadily. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 32

Main heading: Spatial distribution

Controlled terms: Growth rate? - ?Population statistics

Uncontrolled terms: Anhui province? - ?Change trends? - ?Continuous improvements? - ?Correlation? - ?Gross domestic products? - ?Human activities? - ?Land cover? - ?Spatial variability? - ?Temporal and spatial changes? - ?Vegetation index

Classification code: 405.3 Surveying? - ?902.1 Engineering Graphics? - ?921 Mathematics

Numerical data indexing: Age 1.50E+01yr, Percentage 1.50E+01%, Percentage 1.723E+01%, Percentage 2.70E+01%, Percentage 4.236E+01%, Percentage 6.23E+00%, Percentage 6.917E+01%

DOI: 10.6041/j.issn.1000-1298.2022.08.021

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

19. Salt Production Function in Tomato under Vertical Uneven Distribution of Soil Salt

Accession number: 20224513059916

Title of translation:

Authors: Chen, Sheng (1); Huang, Da (1, 2); Wang, Zhenchang (1); Guo, Xiangping (1); Zhang, Shuxuan (1)

Author affiliation: (1) College of Agricultural Science and Engineering, Hohai University, Nanjing; 210098, China; (2) Guangxi Key Laboratory of New Energy and Building Energy Saving, Guilin University of Technology, Guilin; 541004, China

Corresponding author: Wang, Zhenchang(wangzhenchang@hhu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 388-396

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Tomato pot experiment was used to arrange straw capillary barrier at 17 cm below the soil surface, which effectively cut the continuity of soil capillary. Combined with the leaching effect of irrigation water, the soil salt moved downward, and the potted soil tended to be in a non-uniform distribution state in the vertical direction, which was lower in the upper layer and higher in the deep layer, and the internal relationship between tomato yield and root system and salt distribution characteristics at different growth stages was explored. The results showed that in the treatment of vertical non-uniform distribution of soil salt, the excessive salt content in the soil below the straw layer inhibited the growth and distribution of tomato roots, while the roots in the soil above straw layer with low salinity showed compensatory growth. When the salt content of potted soil was the same, the root dry matter mass and fruit yield of salt vertical non-uniform distribution treatment were significantly higher than those of salt uniform distribution treatment (P ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 24

Main heading: Crops

Controlled terms: Fruits? - ?Irrigation? - ?Soils? - ?Statistical methods? - ?Yield stress

Uncontrolled terms: Non-uniform distribution? - ?Production function? - ?Salt factor? - ?Salt production? - ?Salt production function? - ?Salt stresss? - ?Soil salts? - ?Tomato? - ?Uneven distribution? - ?Yield

Classification code: 483.1 Soils and Soil Mechanics? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?922.2 Mathematical Statistics? - ?951 Materials Science

Numerical data indexing: Size 1.70E-01m

DOI: 10.6041/j.issn.1000-1298.2022.08.042

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

20. Design of Hardware in Loop Simulation Platform for Intelligent Control System of Corn Kernel Harvester

Accession number: 20224513059110

Title of translation:

Authors: Zhu, Xiaolong (1); Chi, Ruijuan (1); Du, Yuefeng (1); Ban, Chao (1); Ma, Yueqi (1); Huang, Xiulian (1)

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

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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 114-122

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problem that the development of a low loss threshing intelligent control system for corn kernel harvester is greatly affected by the experiment site and season, a set of hardware in loop simulation platform for low loss threshing intelligent control system was designed and developed. The simulation platform was composed of a simulation platform controller, operation panel, demonstration panel, armrest box, display, and upper computer. The composition of the intelligent control system for low loss threshing of the corn kernel harvester and the test requirements of the harvest controller was analyzed. The mathematical model of the adjustment process of the key operating parameters of the corn kernel harvester was established. The hardware in the loop simulation test system was built based on an STM32F407 single-chip microcomputer, and the testbed design was completed. The open-loop contrast test of operation parameter adjustment of the simulation platform and the corn grain harvester under no-load conditions was carried out. The mathematical expectation of the simulation error of the cylinder speed was 0.126 r/min, and the standard deviation was 0.776 r/min. The mathematical expectation of operating speed simulation error was - 0.022 km/h, and the standard deviation was 0.094 km/h. The mathematical expectation of the concave clearance simulation error was 0.041 mm, and the standard deviation was 0.147 mm, which verified the effectiveness of the simulation platform for the adjustment process of the actuator of the corn harvester was verified. The signal simulation test and the automatic control strategy simulation test of the harvest controller were carried out. The results showed that the simulation platform can be used for the development of an intelligent control system for corn kernel harvester and the test of control strategy, which improved the system development efficiency and shortened the development cycle. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 30

Main heading: Simulation platform

Controlled terms: Automation? - ?Computer hardware? - ?Controllers? - ?Errors? - ?Hardware-in-the-loop simulation? - ?Planning? - ?Statistics? - ?Synthetic apertures? - ?Traction (friction)

Uncontrolled terms: Corn kernel harvester? - ?Corn kernels? - ?Hardware in loop simulation? - ?Intelligent control system? - ?Low loss threshing? - ?Low-loss? - ?Mathematical expectation? - ?Simulation error? - ?Simulation platform? - ?Simulation tests

Classification code: 716.2 Radar Systems and Equipment? - ?722 Computer Systems and Equipment? - ?723.5 Computer Applications? - ?731 Automatic Control Principles and Applications? - ?732.1 Control Equipment? - ?912.2 Management? - ?922.2 Mathematical Statistics? - ?931.1 Mechanics

Numerical data indexing: Angular velocity 1.29592E-02rad/s, Angular velocity 2.1042E-03rad/s, Size -2.20E+01m, Size 1.47E-04m, Size 4.10E-05m, Size 9.40E+01m

DOI: 10.6041/j.issn.1000-1298.2022.08.012

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

21. Parameter Calibration and Experiment of Discrete Element Model for Mixed Seeds of Oat and Arrow Pea

Accession number: 20224513059688

Title of translation:

Authors: Liao, Yangyang (1); You, Yong (1); Wang, Decheng (1); Zhang, Xuening (1); Zhang, Haifeng (1); Ma, Wenpeng (2)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo; 255049, China

Corresponding author: You, Yong(youyong@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: 8

Issue date: August 2022

Publication year: 2022

Pages: 14-22

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to better apply the discrete element method to study the mixed sowing process of oat and arrow pea seeds and improve the accuracy of the seed discrete element model, the simulation parameters were calibrated combined with the actual test and simulation test. The intrinsic parameters of oat and arrow pea seeds were measured by sampling, and the seed discrete element model was established. Collision test, inclined plane sliding test and inclined plane rolling test were used to calibrate the collision restitution coefficient, static friction coefficient and rolling friction factor between seeds (oat seeds and arrow pea seeds) and ABS plastic plate, respectively, and oat and arrow pea seeds were obtained. The collision recovery coefficients with ABS plastic plates were 0. 441 and 0. 435, the static friction coefficients were 0. 506 and 0. 454, and the rolling friction coefficients were 0. 059 and 0. 047, respectively. Based on the stacking test, using the steepest climbing test and quadratic regression orthogonal rotation combination test method, and taking the relative error between the edem simulation value and the actual value of the stacking angle of mixed seeds as the index, the interspecific collision recovery coefficient, static friction coefficient and rolling friction coefficient were determined to be 0. 320, 0. 327 and 0. 042, respectively. The calibration results were verified by the screw seed transmission device. The average relative error of the mixed seed mass flow rate between the simulation test and the actual test was 1. 76%, and the average relative error of the seed transmission mass ratio of oat and arrow pea seeds was 2. 03%. The reliability of the simulation test was verified. The calibration results can be used in the discrete element simulation test of the mixed sowing process of oat and arrow pea seeds. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 24

Main heading: Calibration

Controlled terms: Errors? - ?Stiction? - ?Testing? - ?Transmissions

Uncontrolled terms: Arrow pea seed? - ?Discrete element models? - ?Discrete elements? - ?Inclined planes? - ?Mixed sowing? - ?Oat seed? - ?Parameters calibrations? - ?Rolling friction? - ?Simulation tests? - ?Static friction coefficient

Classification code: 602.2 Mechanical Transmissions

Numerical data indexing: Percentage 3.00E+00%, Percentage 7.60E+01%

DOI: 10.6041/j.issn.1000-1298.2022.08.002

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

22. Theory and Technical Guarantee System Construction of Modern Ecological Irrigation District in Northwest China

Accession number: 20224513059087

Title of translation:

Authors: Deng, Mingjiang (1, 2); Tao, Wanghai (1); Wang, Quanjiu (1); Su, Lijun (1); Ma, Changkun (1); Ning, Songrui (1)

Author affiliation: (1) State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an; 710048, China; (2) Engineering Research Center of Water Resources and Eco-Hydraulics in Arid and Cold Region, Urumqi; 830000, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 1-13

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Irrigation district is the basic guarantee of food security and modern agricultural development in China, as well as the important cornerstone of regional economic development and ecological environment protection. However, the unique climate, landform, and economic conditions in Northwest China make it difficult for the production capacity and ecological service function of irrigation districts to meet the needs of modern agricultural development. Based on the systematic analysis of the challenges (e. g., over-exploitation of water resources, soil salinization, agricultural water-saving, ecological environment construction, drought resistance and disaster reduction capacity, management, and maintenance) in the development of irrigation agriculture in Northwest China, the connotation and features of modern ecological irrigation district in Northwest China were put forward. According to the water source and agricultural production function, the irrigation districts in Northwest China can be divided into four types: irrigation-dependent district, irrigation-dominated district, irrigation-supplementary district, and irrigation-optimization district. Agricultural production system, material energy transmission system, and ecological environment system in irrigation district were proposed as research objects. Three core theories, namely optimal allocation theory of ecological service function, regulation theory of farmland material and energy, and ecosystem security assessment in irrigation district were proposed. Three key technologies, namely pollution control and landscape value enhancement technology, irrigation and drainage system control technology, and crop habitat integrated control technology were constructed. A theoretical and technical support system for modern ecological irrigation areas in the Northwest China was constructed, which can provide theoretical and technical guidance for the high-quality and sustainable development of irrigated agriculture in Northwest China. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 42

Main heading: Irrigation

Controlled terms: Drainage? - ?Economics? - ?Ecosystems? - ?Energy policy? - ?Environmental protection? - ?Food supply? - ?Planning? - ?Pollution control? - ?Regional planning? - ?Sustainable development ? - ?Water conservation? - ?Water resources

Uncontrolled terms: Agricultural development? - ?Ecological functions? - ?Ecological landscape? - ?Energy regulation? - ?Habitat factor? - ?Irrigation and drainage systems? - ?Irrigation districts? - ?Matter and energy regulation? - ?Modern ecological irrigation district? - ?NorthWest China

Classification code: 403.2 Regional Planning and Development? - ?444 Water Resources? - ?454.2 Environmental Impact and Protection? - ?454.3 Ecology and Ecosystems? - ?525.6 Energy Policy? - ?821.3 Agricultural Methods? - ?822.3 Food Products? - ?912.2 Management? - ?971 Social Sciences

DOI: 10.6041/j.issn.1000-1298.2022.08.001

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

23. Chinese Mitten Crab Weight Estimation Method Based on Multi-dimensional Features and LightGBM

Accession number: 20224513059081

Title of translation: LightGBM

Authors: Duan, Qingling (1, 2); Chen, Xin (1, 2); Xu, Guanhua (3); Fan, Yuxing (1, 2); Zhang, Yuling (2, 4)

Author affiliation: (1) College of Information and Electrical Engineering, China Agricultural University, Beijing; 100083, China; (2) National Innovation Center for Digital Fishery, China Agricultural University, Beijing; 100083, China; (3) Jiangsu Zhongnong Internet of Things Technology Co., Ltd., Yixing; 214200, China; (4) Yantai Research Institute, China Agricultural University, 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: 8

Issue date: August 2022

Publication year: 2022

Pages: 353-360

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Chinese mitten crab is a unique aquaculture species in China. Its weight is not only an important basis for determining the feeding amount, but also an important indicator for judging its growth status and quality. Taking Chinese mitten crab as the research object, a method for estimating its weight based on multi-dimensional features and light gradient boosting machine (LightGBM) was proposed. Firstly, image segmentation were carried out on these collected crab images to obtain the carapace images. Then the geometric features of the carapace binary image was extracted as shape features (SF), extracting each channel component value of carapace images in different color spaces as color features (CF), and feature values were calculated by the calibration method. Finally, the crab weight was estimated by the LightGBM algorithm. The color feature and shape feature were extracted to form multidimensional features to solve the problem of low prediction accuracy caused by a single shape feature. The shape feature consisted of different carapace contour ratios, which effectively reduced the impact on the stability of the feature value caused by the random adjustment of the camera height. The proposed Chinese mitten crab weight estimation method was tested on the real dataset with the mean absolute error (MAE) of 2 751 g, the root mean square error (RMSE) of 3 680 g and the coefficient of determination (R2) of 0 949. Furthermore, when compared with the SF LightGBM, SF3 LightGBM, area OLS, MF BPNN and MF SVM crab weight estimation methods, the performance of each evaluation metric of the proposed method was improved. The experimental results indicated that the proposed method can accurately estimate the Chinese mitten crab weight. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 33

Main heading: Aquaculture

Controlled terms: Binary images? - ?Color? - ?Image segmentation? - ?Mean square error? - ?Shellfish? - ?Support vector machines

Uncontrolled terms: Chinese mitten crabs? - ?Color features? - ?Gradient boosting? - ?Light gradient boosting machine? - ?Light gradients? - ?Multi dimensional? - ?Multi-dimensional feature? - ?Shape features? - ?Weight estimation methods? - ?Weights estimation

Classification code: 461.9 Biology? - ?723 Computer Software, Data Handling and Applications? - ?723.2 Data Processing and Image Processing? - ?741.1 Light/Optics? - ?821.3 Agricultural Methods? - ?922.2 Mathematical Statistics

Numerical data indexing: Mass 6.80E-01kg, Mass 7.51E-01kg

DOI: 10.6041/j.issn.1000-1298.2022.08.038

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

24. UAV Multispectral Remote Sensing Soil Salinity Inversion Based on Different Fractional Vegetation Coverages

Accession number: 20224513059606

Title of translation:

Authors: Zhang, Zhitao (1, 2); Tai, Xiang (1, 2); Yang, Ning (1, 2); Zhang, Junrui (1, 2); Huang, Xiaoyu (1, 2); Chen, Qinda (1, 2)

Author affiliation: (1) Key Laboratory of Agricultural Soil and Water Engineering in Arid Areas, Ministry of Education, Northwest A&F University, Shaanxi, Yangling; 712100, China; (2) College of Water Resources and Architectural Engineering, Northwest A&F University, Shaanxi, 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: 8

Issue date: August 2022

Publication year: 2022

Pages: 220-230

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Accurate and rapid acquisition of soil salinity information under vegetation coverage can provide a basis for soil salinization management. The UAV remote sensing platform was used to obtain multispectral remote sensing images of the Shahao Canal Irrigation Area in the Hetao Irrigation District of Inner Mongolia in July, August and September 2019 and the sampling points were 0 ~ 10 cm, 10 ~ 20 cm, 20 ~40 cm and 40 ~60 cm depths of soil salt content (SSC). The spectral index was calculated through multi-spectral remote sensing images, and the normalized vegetation index (NDVI 2) was selected and brought into the pixel binary model (PDM) to calculate the vegetation coverage (FVC). The coverage was divided into four coverage levels: T1 (bare soil), T2 (low vegetation coverage), T3 (medium vegetation coverage), and T4 (high value coverage). The spectral index was screened by a full subset of variables, and partial least squares regression (PLSR) and extreme learning machine (ELM) were used to construct inversion models of soil salinity at various depths under different coverages. The research results showed that the accuracy of the inversion model under bare soil and high vegetation coverage was higher than the accuracy of the inversion model under low vegetation and medium vegetation coverage; comparing the accuracy of the two SSC inversion models, PLSR and ELM, the inversion accuracy of the ELM model was higher than that of the PLSR model; the best inversion depths under the coverage of T1, T2, T3 and T4 were 0 ~ 10 cm,10 ~ 20 cm,20 ~ 40 cm, 20 ~ 40 cm, respectively. The research result can provide an idea for UAV multi-spectral remote sensing to monitor soil salinization. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 59

Main heading: Pixels

Controlled terms: Irrigation? - ?Learning systems? - ?Least squares approximations? - ?Remote sensing? - ?Soil surveys? - ?Soils? - ?Unmanned aerial vehicles (UAV)? - ?Vegetation mapping

Uncontrolled terms: Binary models? - ?Fractional vegetation coverage? - ?Full subset selection? - ?Inversion? - ?Multi-spectrum? - ?Pixel binary model? - ?Soil salinity? - ?Subset selection? - ?UAV multispectrum? - ?Vegetation coverage

Classification code: 405.3 Surveying? - ?483.1 Soils and Soil Mechanics? - ?652.1 Aircraft, General? - ?821.3 Agricultural Methods? - ?921.6 Numerical Methods

Numerical data indexing: Size 0.00E00m to 1.00E-01m, Size 1.00E-01m to 2.00E-01m, Size 2.00E-01m to 4.00E-01m, Size 4.00E-01m to 6.00E-01m

DOI: 10.6041/j.issn.1000-1298.2022.08.023

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

25. Design and Experiment of Edible Sunflower Plate Taking Device Based on Manual Plate Taking Principle

Accession number: 20224513059843

Title of translation:

Authors: Han, Changjie (1, 2); Diao, Hongwei (1); Qiu, Shilong (1, 2); Zhu, Xingliang (1, 2); Zhang, Jing (1, 2); Yuan, Panpan (1, 2)

Author affiliation: (1) College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi; 830052, China; (2) Xinjiang Key Laboratory of Intelligent Agricultural Equipment, Urumqi; 830052, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 123-131

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to improve the mechanized harvest level of edible sunflower and solve the problems of high cost and high labor intensity of manual segmented harvest, an edible sunflower plate taking device was designed based on the principle of manual plate taking. Its main working part was the inclined conveyor chain plate taking mechanism, which simulated the action of pulling up the sunflower plate in the vertical direction when taking the plate manually, so as to realize the harvest of sunflower plate. According to the operation process and dynamic analysis of the parts, the key design parameters such as the push angle of the front turnover control cam, the push angle of the rear turnover control cam, the size and rotation position of the tray rod, the push rod angle and so on were determined, and the influencing factors and value range of the operation performance were obtained. Taking the forward speed of machines and tools, the angle of push rod and the height of inserting plate as the influencing factors of plate taking performance, and taking the total loss rate of plate taking as the response value, the three-factor and three-level orthogonal test was carried out, and the optimal parameter combination repeated test was carried out. The results showed that the order of significance of each factor on the total loss rate of the plate in the process of taking the plate was the push rod angle, the forward speed and the height of the plate. The optimal parameter combination was the forward speed of 0.4 m/s, the push rod angle of 20° and the height of the plate of 1 000 mm. Under this parameter combination, the total loss rate of the plate was 1.22%. The sunflower plate taking device met the requirements of low loss harvest of edible sunflower. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 31

Main heading: Cams

Controlled terms: Chain conveyors? - ?Harvesting

Uncontrolled terms: Edible sunflower? - ?Forward speed? - ?Harvest levels? - ?Loss rates? - ?Optimal parameter combinations? - ?Plate taking device? - ?Principle of manual plate taking? - ?Push rods? - ?Total loss? - ?Turnover controls

Classification code: 601.3 Mechanisms? - ?692.1 Conveyors? - ?821.3 Agricultural Methods

Numerical data indexing: Percentage 1.22E+00%, Size 0.00E00m, Velocity 4.00E-01m/s

DOI: 10.6041/j.issn.1000-1298.2022.08.013

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

26. Layout Optimization of Soil Salt Sampling Points Based on Regression Kriging

Accession number: 20224513059358

Title of translation:

Authors: Xu, Ying (1); Xie, Ruoyu (1); Shen, Lijia (1); Feng, Shaoyuan (1)

Author affiliation: (1) College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou; 225009, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 275-282

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to improve the drawing accuracy of soil salt distribution map or reduce the cost of field sampling and indoor analysis, it is very necessary to optimize the layout of soil sampling points. Taking the minimum regression Kriging estimated variance (RKV) and the minimum ordinary Kriging estimated variance (OKV) as the objective function, the layout of soil salt sampling points was optimized by spatial simulated annealing algorithm (SSA), the selection of covariates in regression Kriging (RK) method was closely related to soil salt distribution and easy to obtain environmental variables. The optimization results were evaluated by the nearest distance distribution function (G-function), interval distance distribution function (F-function) and K - S test. The results showed that wasteland distribution on a large scale (400 m x 400 m) was significantly correlated with salt, but weak correlated on a small scale (50 m x 50 m). Taking the distribution of wasteland (the shortest distance from wasteland) as the collaborative variable and optimizing the sampling layout by RK method (sampling number was 55), the mean RKV of the study area was 0.080 7, which was 29.39% smaller than the mean OKV (0.114 3). The G-function curve and F-function curve of the optimized sampling set all fall within the 95% confidence interval, there was no significant difference between the F-function and G-function and their theoretical values, the layout of the sampling points was well arranged and covered the geographical space. K - S test showed that the distribution of the shortest distance from wasteland on the optimized sampling point and its population obeyed the same probability distribution, the layout of the sampling points was well arranged and covered the attributes space. The research results can provide reference for the layout of soil salinization monitoring points in Hetao Irrigation Area. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 28

Main heading: Simulated annealing

Controlled terms: Curve fitting? - ?Distribution functions? - ?Interpolation? - ?Regression analysis? - ?Soils

Uncontrolled terms: Estimated variance? - ?Optimisations? - ?Regression kriging estimated variance? - ?Regression-kriging? - ?Simulation annealing algorithm? - ?Soil salinity? - ?Soil sampling? - ?Soil sampling optimization? - ?Spatial simulation? - ?Spatial simulation annealing algorithm

Classification code: 483.1 Soils and Soil Mechanics? - ?537.1 Heat Treatment Processes? - ?921.6 Numerical Methods? - ?922.1 Probability Theory? - ?922.2 Mathematical Statistics

Numerical data indexing: Percentage 2.939E+01%, Percentage 9.50E+01%, Size 4.00E+02m, Size 5.00E+01m

DOI: 10.6041/j.issn.1000-1298.2022.08.029

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

27. Wireless Signal Propagation Characteristics of Traditional Apple Orchard for Multi-robot

Accession number: 20224513059129

Title of translation:

Authors: Liu, Zhijie (1, 2); Liu, Heng (1, 3); Mao, Wenju (1, 3); Yang, Fuzeng (1, 3); Wang, Wang (1); Qin, Jifeng (1, 3)

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

Corresponding author: Yang, Fuzeng(yangfzkm@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: 8

Issue date: August 2022

Publication year: 2022

Pages: 283-293

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the optimal deployment of agricultural multi-robot communication nodes in the cooperative operation between rows in the traditional apple orchard, the propagation characteristics of 2.4 GHz Wi-Fi signal in the traditional apple orchard (mature stage) were studied. The signal transmitting and receiving nodes were vertically deployed at the heights of 0.45 m, 0.55 m, 0.65 m and 0.75 m from the ground, respectively. The nodes were horizontally deployed according to the four typical formation modes of multi-robot linear, small spacing V-shaped, large spacing V-shaped and parallel. The receiving intensities of communication signals at different heights and at different distances under the above four formation modes were measured. The research results showed that among the above four formation modes, the signal attenuation in the linear formation mode was the slowest. Therefore, the best way of multi-robot formation in the traditional apple orchard was linear, and the node height was best deployed at about 0.2 m down the first branch of the fruit tree. The regression analysis of path loss data showed that it conformed to the logarithmic path loss model under the height of each wireless communication signal node and the typical formation mode of each multi-robot, and the R2 of the model was between 0.860 and 0.989. At the same time, a path loss model for predicting 2.4 GHz Wi -Fi signal in traditional apple orchard was established. At the same time, other apple orchards were selected to verify the accuracy of the prediction model, R2 was 0.947 ~ 0.967, RMSE was 1. 489 ~ 2.432 dBm. The model can better predict the path loss of Wi -Fi signal in traditional apple orchard, and the research result can provide reference for the deployment of communication nodes of agricultural multi-robot in traditional apple orchard. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 22

Main heading: Regression analysis

Controlled terms: Cooperative communication? - ?Forecasting? - ?Forestry? - ?Fruits? - ?Industrial robots? - ?Multipurpose robots? - ?Orchards? - ?Wireless local area networks (WLAN)

Uncontrolled terms: Agricultural multi-robot? - ?Apple orchards? - ?Communication nodes? - ?Multirobots? - ?Path loss? - ?Path loss models? - ?Propagation characteristics? - ?Research results? - ?Traditional apple orchard? - ?Wireless signals

Classification code: 722.3 Data Communication, Equipment and Techniques? - ?731.5 Robotics? - ?731.6 Robot Applications? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?922.2 Mathematical Statistics

Numerical data indexing: Decibel milliwatts 2.432E+00dBm, Frequency 2.40E+09Hz, Size 2.00E-01m, Size 4.50E-01m, Size 5.50E-01m, Size 6.50E-01m, Size 7.50E-01m

DOI: 10.6041/j.issn.1000-1298.2022.08.030

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

28. Design and Experiment of Dual Manipulators Parallel Harvesting Platform for Kiwifruit Based on Optimal Space

Accession number: 20224513059123

Title of translation:

Authors: Cui, Yongjie (1, 2); Ma, Li (1); He, Zhi (1, 2); Zhu, Yutao (1); Wang, Yinchu (1); Li, Kai (1, 3)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 132-143

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to adapt the parallel harvesting space of the multi-joint dual robotic arms to the kiwifruit scaffolding space, so that ensuring the maximum continuous harvesting area without fruit leakage, the method of theory and experiment was used to design the parallel harvesting platform of the dual robotic arms. Firstly, the spatial layout of the dual robotic arms was determined by combining the equivalent models of the manipulator workspace and the scaffolding space. Then, the design variables were determined by theoretical analysis of the parallel harvesting efficiency with the dual robotic arms, and the objective optimization function was established with the indicators of “maximum harvesting area” and “minimum common area”. A particle swarm algorithm was used to solve for an optimum relative mounting position of 870 mm, an optimum mounting height of 1 020 mm for the dual robotic arms, and a maximum intermittent forward step distance of 450 mm for the mobile platform. On this basis, the open-chain motion model of the arms and their position layer constraints was established. Finally, to verify the adaptability of the parallel harvesting space and the performance of the whole machine, a prototype of the dual manipulators parallel harvesting platform was built and the fruit positioning error test and the parallel harvesting test with dual robotic arms were carried out. The results showed that the average horizontal and depth positioning errors of the fruit were 5.0 mm and 8.3 mm respectively, which met the kiwifruit picking requirements, the average fruit position traversal success rate was 92.09%, the arms can traverse the required target fruit points except singular points, the average fruit harvesting success rate was 82.10% and the average single fruit harvesting time was 5.86 s, the problem of motion conflict can be improved by adjusting the pose of the arms in the shared space, which verified the operational feasibility of the parallel harvesting platform with dual robotic arms for kiwifruit. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 31

Main heading: Harvesting

Controlled terms: Fruits? - ?Manipulators? - ?Robotic arms? - ?Scaffolds

Uncontrolled terms: Chain models? - ?Dual manipulators? - ?Fruit harvesting? - ?Harvesting platform? - ?Kiwifruits? - ?Open chain? - ?Open chain model? - ?Optimal space? - ?Particle swarm algorithm? - ?Positioning error

Classification code: 405.1 Construction Equipment? - ?731.5 Robotics? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products

Numerical data indexing: Percentage 8.21E+01%, Percentage 9.209E+01%, Size 2.00E-02m, Size 4.50E-01m, Size 5.00E-03m, Size 8.30E-03m, Size 8.70E-01m, Time 5.86E+00s

DOI: 10.6041/j.issn.1000-1298.2022.08.014

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

29. Evaluation on Cultivated Land System Security in Chang - Zhu - Tan Region Based on Quantum Genetic Projection Pursuit Method

Accession number: 20224513068831

Title of translation:

Authors: Zhou, Hao (1); Hu, Ling (1); Chen, Zhushu (2)

Author affiliation: (1) College of Geographical Sciences, Hunan Normal University, Changsha; 410081, China; (2) Yiyang Tobacco Monopoly Administration, Yiyang; 413002, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 268-274 and 302

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: With the development of urbanization, the security of the regional cultivated land system was facing certain threats, and the evaluation of the security of the cultivated land system was critical as an important measure to improve the security status of the regional cultivated land system and ensure the safety of food production. Taking the Changsha - Zhuzhou - Xiangtan (Chang - Zhu - Tan) region as the research area, from the perspective of systematic protection of cultivated land quantity, cultivated land quality and cultivated land ecology, to construct a safety evaluation index system of cultivated land system, and the improved projection pursuit model of quantum genetic algorithm was used to quantitatively analyze spatial and temporal evolution characteristics of cropland system security and identify its key factors. The results showed that the projection value of each subsystem in the study area presented a state of “staggered decrease”, and the comprehensive safety projection value of the cultivated land system presented a fluctuating decreasing trend of “first increase, then gentle and then decrease”, from 1. 252 1 in 2009 to 1. 251 7 in 2019. In 2019, the safety spatial pattern of the cultivated land system in the Chang - Zhu - Tan region showed a differential characteristic of radial improvement from the central urban area to the surrounding distant and suburbs. In view of different cultivated land system safety grade areas, regulatory measures were put forward according to local conditions. The total cultivated land area, per capita cultivated land area, cultivated land reclamation rate, mulch load per unit of cultivated land area and sewage treatment rate were the key factors affecting the safety of the cultivated land system in the region, and it was necessary to actively maintain and improve the safety status of the local cultivated land system in terms of protecting the amount of cultivated land and improving the level of utilization and management of cultivated land. The results can provide theoretical support for cultivated land protection and high-quality social and economic development in Chang - Zhu - Tan region. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 19

Main heading: Land use

Controlled terms: Economics? - ?Genetic algorithms? - ?Land reclamation? - ?Quality control? - ?Sewage treatment

Uncontrolled terms: Changshum - zhuzhou - xiangtan region? - ?Cultivated land use? - ?Cultivated lands? - ?Land areas? - ?Land Systems? - ?Projection pursuit models? - ?Quantum genetic algorithm? - ?Security evaluation? - ?System security? - ?System security evaluation

Classification code: 403 Urban and Regional Planning and Development? - ?442.2 Land Reclamation? - ?452.2 Sewage Treatment? - ?913.3 Quality Assurance and Control? - ?971 Social Sciences

Numerical data indexing: Size 1.778E-01m, Size 2.54E-02m

DOI: 10.6041/j.issn.1000-1298.2022.08.028

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

30. Determining Optimal Drip Irrigation Frequency for Substrate-bag Cultured Tomato Based on Fuzzy Borda Method

Accession number: 20224513059276

Title of translation: Borda

Authors: Hu, Xiaohui (1, 2); Zhu, Keyu (1, 2); Zhang, Qi (1, 2); Zhao, Yuhong (1, 2); Ma, Yongbo (1, 2)

Author affiliation: (1) Key Laboratory of Protected Horticultural Engineering in Northwestern China, Ministry of Agriculture and Rural Affairs, Northwest A&F University, Shaanxi, Yangling; 712100, China; (2) Shaanxi Provincial Facility Agricultural Engineering Technology Research Center, Shaanxi, 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: 8

Issue date: August 2022

Publication year: 2022

Pages: 407-415

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming to implement accurate and effective fertilizer management for protected cultured tomato, the tomato ‘improved Jinpeng No. 8 was selected as material. With the conventional substrate cultivation tomato nutrient solution management method as the control (CK), the tomato fruiting period was divided into the early fruiting stage (the third fruit of fruit set ~ the first of fruit mature) and the late fruiting stage (after the first ear of fruit mature ~ the fifth ear of fruit mature), the drip irrigation frequency in each fruiting period was set to be 1 time / d, 3 times / d and 5 times / d (the total amount of nutrient solution supplied was the same), and a total of 10 treatments. In order to study the effect of different treatments on the different layers fruit quality and yield of tomato, the effects of different treatment on quality and yield were investigated. Four single comprehensive evaluation methods, including principal component analysis, TOPSIS, membership function analysis and grey correlation analysis, were used to comprehensively evaluate the quality yield of tomato multi-layer fruits. The single comprehensive evaluation result of the consistency test (Kendall W) was used for fuzzy Borda combined evaluation to determine the optimal nutrient solution drip irrigation plan. The results showed that coupling treatment can significantly increase tomato yield. When the quality indexes of different layers of fruit were the best, the corresponding coupling treatments were different. There were differences in the ranking results of the four single comprehensive evaluation methods. The Kendall W consistency test had a concordance coefficient of 0 920, which satisfied the combined evaluation conditions. The principal component analysis method and the fuzzy Borda method had the highest correlation coefficient (0 988). The best drip irrigation frequency was 1 time/ d in the early fruiting stage; 3 times/ d in the late fruiting stage based on the fuzzy Borda method, which can achieve higher yields of tomatoes and multi-layer fruits with high quality. The research result can provide the basis for scientific management of nutrient solution produced by facility tomato. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 36

Main heading: Fruits

Controlled terms: Cultivation? - ?Irrigation? - ?Membership functions? - ?Nutrients? - ?Principal component analysis? - ?Quality control

Uncontrolled terms: Comprehensive evaluation? - ?Drip irrigation? - ?Drip irrigation frequency? - ?Fuzzy Borda? - ?Fuzzy borda method? - ?Irrigation frequency? - ?Nutrient solution? - ?Quality? - ?Tomato? - ?Yield

Classification code: 821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?913.3 Quality Assurance and Control? - ?921 Mathematics? - ?922.2 Mathematical Statistics

DOI: 10.6041/j.issn.1000-1298.2022.08.044

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

31. Lightweight Real-time Apple Detection Method Based on Improved YOLO v4

Accession number: 20224513059851

Title of translation: YOLO v4

Authors: Wang, Zhuo (1, 2); Wang, Jian (1, 3); Wang, Xiaoxiong (1, 3); Shi, Jia (1, 2); Bai, Xiaoping (1, 2); Zhao, Yongjia (1, 2)

Author affiliation: (1) Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang; 110016, China; (2) Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang; 110169, China; (3) School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing; 100049, China

Corresponding author: Shi, Jia(shijia@sia.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 294-302

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Under the picking conditions in unstructured environments, such as overlapping and occlusion, the recognition system based on deep learning in apple picking robot contained complex network structure and large parameter volumes, for which the response speed of detection model was severely limited. In response to this problem, based on the embedded platform, a lightweight apple real-time detection method called YOLO v4 - CA, which selected YOLO v4 as the basic framework, was proposed. The proposed method used MobileNet v3 as the feature extraction network, and introduced deep separable convolution in the feature fusion network to reduce network computational complexity. In order to ensure the detection accuracy, coordinate attention was introduced in the key position of the network to strengthen target attention, which can improve the ability to detect dense targets and resist background interference. For the small apple datasets, a combination of cross-domain and in-domain transfer learning strategy was proposed to improve the generalization ability of the model. Experimental results showed that the average precision of the improved model was 92.23%, and the detection speed on the embedded hardware platform was 15.11 frames per second, which was about three times than that of the original YOLO v4 model. Compared with the two representative target detection algorithms of SSD300 and Faster R - CNN, the average precision was increased by 0.91 percentage points and 2.02 percentage points respectively, and the detection speed on the embedded hardware platform was about 1.75 times and 12 times that of the two respectively. Compared with the two lightweight target detection algorithms of DY3TNet and YOLO v5s, the average precision was increased by 7.33 percentage points and 7.73 percentage points respectively. Therefore, the improved model YOLO v4 - CA can efficiently detect apples in a complex orchard environment in real time, and it was suitable for deployment on embedded systems. It can provide solutions for the recognition system of apple picking robots. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 26

Main heading: Complex networks

Controlled terms: Deep learning? - ?Embedded systems? - ?Fruits? - ?Learning systems? - ?Real time systems? - ?Robots? - ?Signal detection

Uncontrolled terms: Apple detection? - ?Attention mechanisms? - ?Detection methods? - ?Lightweight? - ?Percentage points? - ?Picking robot? - ?Real- time? - ?Recognition systems? - ?Transfer learning? - ?YOLO v4

Classification code: 461.4 Ergonomics and Human Factors Engineering? - ?716.1 Information Theory and Signal Processing? - ?722 Computer Systems and Equipment? - ?722.4 Digital Computers and Systems? - ?731.5 Robotics? - ?821.4 Agricultural Products

Numerical data indexing: Percentage 9.223E+01%

DOI: 10.6041/j.issn.1000-1298.2022.08.031

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

32. Detection of Wheat Lodging in UAV Remote Sensing Images Based on Multi-head Self-attention DeepLab v3 +

Accession number: 20224513068838

Title of translation: MHSA+DeepLab v3+

Authors: Yang, Shuqin (1, 2); Wang, Pengfei (1, 2); Wang, Shuai (1, 2); Tang, Yunsong (1, 2); Ning, Jifeng (3, 4); Xi, Yajun (5)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Northwest A&F University, Shaanxi, Yangling; 712100, China; (2) Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs, Shaanxi, Yangling; 712100, China; (3) Shaanxi Key Laboratory ofAgricultural Information Perception and Intelligent Service, Shaanxi, Yangling; 712100, China; (4) College of Information Engineering, Northwest A&F University, Shaanxi, Yangling; 712100, China; (5) College of Agronomy, Northwest A&F University, Shaanxi, 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: 8

Issue date: August 2022

Publication year: 2022

Pages: 213-219 and 239

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Lodging is one of the main factors, which affect the yield and quality of wheat. Timely and accurate acquisition of wheat lodging information is beneficial to cultivating fine varieties and identifying lodging losses in agricultural insurance. A multi-growth stage wheat lodging dataset was constructed based on the visible light UAV remote sensing images of the two growth stages of wheat: grain filling stage and mature stage. By adding different attention modules to the DeepLab v3 + model for comparative analysis, a DeepLab v3 + wheat lodging detection model based on multi-head self-attention was proposed to accurately detect the lodging areas during wheat growth. The experimental results showed that the mPA and mloU of the proposed multi-head self-attention DeepLab v3 + model were 93. 09%, 87. 54% (the grain filling stage) and 93. 36%, 87. 49% (the mature stage), which were improved by 25. 45, 7. 54, 1.82 (mPA) and 36.15, 11.37, 2.49 (mloU) percentage points at the grain-filling stage and outperformed by 15. 05, 6. 32, 0. 74 (mPA) and 23. 36, 9. 82, 0. 95 (mloU) percentage points at the mature stage, compared with the representative SegNet, PSPNet and DeepLab v3 + models, respectively. Secondly, compared with the two attention modules of CBAM and SimAM, DeepLab v3 + based on multi-head self-attention performed the best in both the grain filling stage and the mature stage, and its mPA and mloU were increased by 1. 6, 2. 07 and 1.7, 2. 45 percentage points at the grain-filling stage and increased by 0. 27, 0. 11 and 0. 26, 0. 15 percentage points at the mature stage. The results showed that the improved DeepLab v3 + model captured the lodging features in the UAV remote sensing images of wheat at the grain filling and mature stages effectively and identified the lodging areas in different growth stages precisely, and it had good applicability. It provided a reference for the identification of wheat lodging disaster grades and breeding of improved varieties by using UAV remote sensing technology. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 27

Main heading: Semantics

Controlled terms: Filling? - ?Grain (agricultural product)? - ?Remote sensing? - ?Semantic Segmentation? - ?Unmanned aerial vehicles (UAV)

Uncontrolled terms: Attention mechanisms? - ?Deep semantic segmentation? - ?Deeplab v3 +? - ?Filling stage? - ?Grain filling? - ?Lodging? - ?Semantic segmentation? - ?UAV remote sensing? - ?Wheat? - ?Wheat lodging

Classification code: 652.1 Aircraft, General? - ?691.2 Materials Handling Methods? - ?723.4 Artificial Intelligence? - ?821.4 Agricultural Products

Numerical data indexing: Percentage 3.60E+01%, Percentage 4.90E+01%, Percentage 5.40E+01%, Percentage 9.00E+00%

DOI: 10.6041/j.issn.1000-1298.2022.08.022

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

33. Reconstruction of Time Series LAI and Winter Wheat Yield Estimation at Field Scales Based on Sentinel Satellites

Accession number: 20224513059139

Title of translation: Sentinel LAI

Authors: Zhou, Xijia (1, 2); Zhang, Yue (1); Wang, Pengxin (1); Zhang, Shuyu (3); Li, Hongmei (3); Tian, Huiren (1)

Author affiliation: (1) College of Information and Electrical Engineering, China Agricultural University, Beijing; 100083, China; (2) National Satellite Meteorological Center, Beijing; 100081, China; (3) Shaanxi Provincial Meteorological Bureau, Xi’an; 710014, China

Corresponding author: Wang, Pengxin(wangpx@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: 8

Issue date: August 2022

Publication year: 2022

Pages: 173-185

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Time-series crop growth monitoring at field scales is very important for crop management and yield estimation. However, the spatial resolutions (250 ~ 1000 m) of current satellite sensors with high temporal resolutions are too coarse for areas with complex and diverse land-use types, such as the Guanzhong Plain of Shaanxi Province, which causes great uncertainties in crop yield estimation results. To estimate the winter wheat yield at field scales, a study was carried out on the Guanzhong Plain. The enhanced deep convolutional spatiotemporal fusion network (EDCSTFN) model and enhanced spatial and temporal adaptive reflectance fusion model (ESTARFM) were used to fuse the leaf area index (LAI) retrieved from Sentinel - 1, Sentinel - 2 and Sentinel - 3 imagery, thereby reconstructing the LAI imagery with a 20 m spatial resolution at 12-day interval. Finally, the reconstructed LAI imagery were used for the winter wheat yield estimation at field scales. The results showed that the LAI imagery with a 20 m spatial resolution in the winter wheat planting area of Guanzhong Plain can be accurately retrieved based on the backscatter coefficient and coherence derived from Sentinel - 1 data, and the coefficient of determination (R2) in March and April were larger than 0.70. Compared with the ESTARFM and EDCSTFN models based on Sentinel - 2 and Sentinel - 3 (EDCSTFN_S3), the EDCSTFN model based on Sentinel - 1 and Sentinel - 2 (EDCSTFN_S1) can significantly improve the accuracy of LAI spatio-temporal fusion results on the dates far from the reference dates (R2 values for ESTARFM, EDCSTFN_S3 and EDCSTFN_S1 model in late May were 0.53, 0.71 and 0.76, respectively). The winter wheat yield estimation results based on the spatio-temporal fused LAI had a good correlation with the winter wheat yield data (R2 = 0.52, P 2, the normalized root mean square error was 19% and the average relative error was 7.34% . In addition, the yield estimation results showed more spatial distribution details of winter wheat yield at field scales, thereby indicating the potential for accurate winter wheat yield estimation at field scales. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 28

Main heading: Data fusion

Controlled terms: Crops? - ?Errors? - ?Image enhancement? - ?Image reconstruction? - ?Image resolution? - ?Land use? - ?Landforms? - ?Mean square error? - ?Time series

Uncontrolled terms: Estimation results? - ?Field scale? - ?Leaf Area Index? - ?Spatio-temporal data? - ?Spatio-temporal data fusion? - ?Spatio-temporal fusions? - ?Time series reconstruction? - ?Winter wheat? - ?Winter wheat yields? - ?Yield estimation

Classification code: 403 Urban and Regional Planning and Development? - ?481.1 Geology? - ?723.2 Data Processing and Image Processing? - ?821.4 Agricultural Products? - ?922.2 Mathematical Statistics

Numerical data indexing: Mass 3.5825E+02kg, Percentage 1.90E+01%, Percentage 7.34E+00%, Size 2.00E+01m, Size 2.50E+02m to 1.00E+03m

DOI: 10.6041/j.issn.1000-1298.2022.08.018

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

34. Method for Detection and Skeleton of Pruning Branch of Jujube Tree Based on Semantic Segmentation for Dormant Pruning

Accession number: 20224513068865

Title of translation:

Authors: Ma, Baojian (1, 2); Yan, Jinshan (1); Wang, Le (1); Jiang, Huanyu (1, 3)

Author affiliation: (1) College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou; 310058, China; (2) College of Mechanical and Electrical Engineering, Xinjiang Institute of Technology, Aksu; 843100, China; (3) Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Hangzhou; 310058, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 313-319 and 442

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Dormant pruning is a labor-intensive and time-consuming operation. It is an important part for the refined management of jujube orchard, which can control the tree structures by removing the over-long branches, thus decreasing the limbs density. Automated pruning using a robotic platform could be a better solution. To realize automatic selective pruning for dormant jujube tree, the segmentation of branch and trunk of tree was difficult in complex jujube orchard background. A method based on semantic segmentation network for branch recognition of jujube trees was studied in field. The visual system built by RGB - D camera was used to acquire the point cloud information of jujube trees under different weather conditions, and the background was removed by using the distance threshold for construction of foreground jujube tree datasets. Two kinds of semantic segmentation models, DeepLabV3 + and PSPNet, were utilized to segment branch and trunk of jujube tree and obtain the pruning branch mask, meanwhile the results of segmentation were compared. The mask of pruning branch was binarized, and the noise was removed based on the area of the connected domain of the binary image. The connected domain was labeled after denoising, and the branch skeleton was extracted. Finally, the number of pruning branch was determined, and the linear regression model for the real value and predicted value of the pruning number was established. The results showed that the DeepLabV3 + model based on ResNet - 50 (feature extraction network) achieved the best segmentation results, and its average pixel classification accuracy and average intersection-over-union were 89% and 81. 85%, respectively. The PA and IoU for trunk and pruning branch were 90. 36%, 80. 98% and 80. 34%, 66. 69%, respectively. The mean pixel accuracy for branch and trunk of jujube tree in sunny was 91. 97%, which was slightly higher than that in cloudy (91. 81%) and night (90. 98%) under three typical weather conditions. Meanwhile, the R2 was 0. 8699 between predicted values and real value in sunny, which was higher than that of cloudy day (0. 8373) and night (0. 8120), and the minimum RMSE (1. 1618) was obtained. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 26

Main heading: Cameras

Controlled terms: Binary trees? - ?Forestry? - ?Image segmentation? - ?Musculoskeletal system? - ?Orchards? - ?Pixels? - ?Regression analysis? - ?Semantics? - ?Trees (mathematics)

Uncontrolled terms: Condition? - ?Connected domains? - ?Dormant jujube tree? - ?Labor time? - ?Pruning branch detection? - ?Real values? - ?RGB - D camera? - ?Semantic segmentation? - ?Skeleton? - ?Tree-based

Classification code: 461.3 Biomechanics, Bionics and Biomimetics? - ?742.2 Photographic Equipment? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.3 Agricultural Methods? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory? - ?922.2 Mathematical Statistics

Numerical data indexing: Percentage 3.40E+01%, Percentage 3.60E+01%, Percentage 6.90E+01%, Percentage 8.10E+01%, Percentage 8.50E+01%, Percentage 8.90E+01%, Percentage 9.70E+01%, Percentage 9.80E+01%

DOI: 10.6041/j.issn.1000-1298.2022.08.033

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

35. Estimation Method of Wheat Canopy Chlorophyll Based on Information Entropy Feature Selection

Accession number: 20224513059301

Title of translation:

Authors: Yuan, Yingchun (1, 2); Zhou, Yi (1, 2); Song, Yufei (3); Xu, Zheng (1, 2); Wang, Kejian (1, 2)

Author affiliation: (1) College of Information Science and Technology, Hebei Agricultural University, Baoding; 071001, China; (2) Hebei Agricultural Data Key Laboratory, Baoding; 071001, China; (3) College of Computer Science and Engineering, Shijiazhuang University, Shijiazhuang; 050035, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 186-195

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Chlorophyll is an important indicator reflecting the nitrogen nutrition status of crops, and its content is closely related to crop growth and development, photosynthesis capacity and crop yield. With the increasing maturity of image processing technology, choosing image color features to estimate the chlorophyll content of crops has become an important technical means. Taking the wheat canopy image in the natural environment as the research object, a color feature selection method was proposed based on the entropy weight method, and machine learning methods were applied to establish a wheat canopy chlorophyll content estimation model. The entropy method used information entropy to measure the weight of color feature indicators to achieve the canopy image feature ranking. The machine learning method used multiple linear regression (MLR), ridge regression (RR) and support vector regression models (SVR) to estimate the chlorophyll content of wheat canopy. The experimental results showed that compared with the feature set selected by the Pearson correlation coefficient method and principal component analysis, the entropy weight method obtained a*, R - B - G, R - G, (a* + b*) / L, a* / b*, (R - G) / (R + G + B), (R - B) / (R + B), H/ S, (R - G) / (R + G) and other nine features. The feature sets can use fewer feature indicators to achieve the best prediction effect. In the case of selecting the same characteristic index parameters, the predictive ability of SVR was better than that of other models, and the average values of R2 and RMSE were 0.80 and 1.89, compared with MLR and RR models, its R2was improved by 2.8% and 1.1%, RMSE was decreased by 0.13 and 0.05, respectively. The SVR model based on the entropy weight method was applied to the wheat canopy image data collected in 2021, and the results showed that the model had good stability. The above research results showed that image processing technology and machine learning methods had very good application value in the estimation of chlorophyll content of crops, providing an important theoretical basis for image-based estimation of chlorophyll content of field crops. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 34

Main heading: Crops

Controlled terms: Chlorophyll? - ?Color? - ?Correlation methods? - ?Feature Selection? - ?Image enhancement? - ?Learning systems? - ?Multiple linear regression? - ?Principal component analysis

Uncontrolled terms: Chlorophyll contents? - ?Chlorophyll estimation? - ?Color feature selection? - ?Color features? - ?Entropy weight method? - ?Features selection? - ?Information entropy? - ?Machine learning methods? - ?Support vector regression models? - ?Wheat canopy

Classification code: 741.1 Light/Optics? - ?804.1 Organic Compounds? - ?821.4 Agricultural Products? - ?922.2 Mathematical Statistics

Numerical data indexing: Percentage 1.10E+00%, Percentage 2.80E+00%

DOI: 10.6041/j.issn.1000-1298.2022.08.019

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

36. Design and Experiment of Air Internal Circulation Dehumidification System for Livestock and Poultry House in Northern Cold Region

Accession number: 20224513059418

Title of translation:

Authors: Zheng, Ping (1); Zhang, Jicheng (1); Xie, Qiuju (1, 2); Bao, Jun (2, 3); Yu, Haiming (1); Wang (1)

Author affiliation: (1) College of Electrical and Information, Northeast Agricultural University, Harbin; 150030, China; (2) Key Laboratory of Swine Facilities Engineering, Ministry of Agriculture and Rural Affairs, Harbin; 150030, China; (3) College of Animal Science and Technology, Northeast Agricultural University, Harbin; 150030, China

Corresponding author: Xie, Qiuju(xqj197610@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 416-422

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: With the aim to solve the contradiction between ventilation and heat preservation of confined livestock and poultry house in cold winter in northern cold region, an energy-efficiency dehumidification system, taking fin-tube heat exchanger as the core part was designed based on the principle of condensation dehumidification by using the climate characteristics of big temperature difference between indoor and outdoor. The natural-cooling refrigerant was applied circularly by this system to reduce the water vapor quality of indoor high-humidity air with internal circulation, which could avoid sending indoor air to outdoor directly or indirectly to decrease heat loss. Dehumidification rate (DR) was calculated by theory of wet air to verify the performance of dehumidification system in a confined experimental cabin. The results showed that there were four important influence factors on dehumidification and energy consumption, i. e., efficiency area of fin-tube heat exchanger, initial temperature differences between indoor and outdoor, flow rate of air and refrigerant. Indoor temperature drop was 4.67 and mean DR was about 2.69 kg/ h when average initial temperature was about 33 and air flow rate was 1 m/ s in the 36 m3 closed chamber. The quality ratio of air and refrigerant flow were 0.31, 0.63 and 0.95, and the average coefficient of performance (COP) were 5.63, 12. 25 and 11.03, respectively. The experimental results indicated that there would be an upper limit of the quality ratio enhancing the heat transfer. COP could not improve along with air flow rate, and this provided an advice for optimal energy consumption of humidifier. It was shown that this energy-saving dehumidification system can take full advantage of the low temperature in the northern cold region, and the dehumidification rate and energy-saving effect were obvious, which provided an efficient solution of the contradiction between environmental dehumidification and thermal insulation of livestock and poultry houses in winter of the northern cold region. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 26

Main heading: Condensation

Controlled terms: Agriculture? - ?Air? - ?Ammonia? - ?Energy efficiency? - ?Energy utilization? - ?Fins (heat exchange)? - ?Heating? - ?Houses? - ?Humidity control? - ?Temperature ? - ?Thermal insulation

Uncontrolled terms: Cold regions? - ?Condensation dehumidification? - ?Confined livestock and poultry house? - ?Dehumidification system? - ?Energy savings? - ?Energy saving and dehumidification? - ?Energy-savings? - ?Internal circulations? - ?Northern cold region? - ?Poultry house

Classification code: 402.3 Residences? - ?413.2 Heat Insulating Materials? - ?525.2 Energy Conservation? - ?525.3 Energy Utilization? - ?616.1 Heat Exchange Equipment and Components? - ?641.1 Thermodynamics? - ?802.3 Chemical Operations? - ?804 Chemical Products Generally? - ?804.2 Inorganic Compounds? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control

Numerical data indexing: Mass 2.69E+00kg, Size 3.60E+01m, Velocity 1.00E00m/s

DOI: 10.6041/j.issn.1000-1298.2022.08.045

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

37. Positioning Method of Tomato Pollination Flowers Based on 3D Vision

Accession number: 20224513059331

Title of translation: 3D

Authors: Wen, Chaowu (1); Long, Jiehua (1, 2); Zhang, Yu (1); Guo, Wenzhong (1); Lin, Sen (1); Liang, Xiaoting (1, 2)

Author affiliation: (1) Intelligent Equipment Technology Research Center, Beijing Academy of Agricuhure and Forestry Sciences, Beijing; 100097, China; (2) College of Information Science, Shanghai Ocean University, Shanghai; 201306, China

Corresponding author: Guo, Wenzhong(guowz@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: 8

Issue date: August 2022

Publication year: 2022

Pages: 320-328

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to provide reliable positioning technical guidance for the implementation of pollination by the facility tomato pollination robot, a method for positioning tomato pollination flowers was proposed based on 3D vision. Firstly, the RGB - D structured light camera was used to quickly obtain the color map and depth map information of the tomato plants in the glass greenhouse, through the fast small target detection YOLO v4 (You only look once) neural network to detect the tomato bouquet on the plant, and extract the two-dimensional area of the pollination bouquet. Then an active alignment method was used in conjunction with PCL to roughly align the RGB map and the depth map. In the RGB image, the bouquet area was filled with yellow flowers. The color system of the pixels in the prediction frame was judged, the non-flower pixels was removed, and the precise alignment of the point cloud of the bouquet area was performed. In order to obtain the high-precision point cloud information of the spatial tomato bouquet, a single-view linear traversal method of the color system within the region was used to perform fine registration on the extracted bouquet region, in the three-dimensional point cloud collection, the double-plane centroid algorithm was used to obtain the spatial point cloud coordinates of the target bouquet (x, y, z). Finally, after the group filtering method denoised the point cloud information, the two-way average method was combined to calculate the pollination centroid coordinates of the bouquet 3D box. The positioning test results showed that the method can successfully identify and locate the bouquet in the greenhouse environment, the average detection accuracy of the neural network was 97. 67%, the extraction time of a single image bouquet was 14. 95 ms, the time and energy consumption of the algorithm to obtain the pollination centroid coordinates was about 300 ms. In the actual verification process, in the absence of strong light, the algorithm can basically realize the robot’s positioning problem of tomato flowers in the greenhouse, and provide a method for the tomato pollination robot to locate and solve the pollination point. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 34

Main heading: Robots

Controlled terms: Cameras? - ?Color? - ?Color image processing? - ?Energy utilization? - ?Fruits? - ?Greenhouses? - ?Information filtering? - ?Pixels

Uncontrolled terms: 3-D vision? - ?Bouquet recognition? - ?Centroid location? - ?Depthmap? - ?Point-clouds? - ?Pollination robot? - ?RGB - D structured light camera? - ?Structured light cameras? - ?Tomato? - ?YOLO v4

Classification code: 525.3 Energy Utilization? - ?731.5 Robotics? - ?741.1 Light/Optics? - ?742.2 Photographic Equipment? - ?821.4 Agricultural Products? - ?821.6 Farm Buildings and Other Structures? - ?903.1 Information Sources and Analysis

Numerical data indexing: Percentage 6.70E+01%, Time 3.00E-01s, Time 9.50E-02s

DOI: 10.6041/j.issn.1000-1298.2022.08.034

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

38. Spatio-temporal Pattern of Coupling Coordination and Association between Land Space Development and Eco-environment in Henan Province

Accession number: 20224513059656

Title of translation:

Authors: Xie, Xiaotong (1, 2); Li, Xiaoshun (1, 2)

Author affiliation: (1) Research Center for Transition Development and Rural Revitalization of Resource-based Cities in China, China University of Mining and Technology, Xuzhou; 221116, China; (2) Research Base of Jiangsu Land Resource Think Tank in China, University of Mining and Technology, Xuzhou; 221116, China

Corresponding author: Li, Xiaoshun(lxsh@cumt.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 258-267

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Land space development and eco-environment is closely related and mutually dependent, and the coupling coordination and spatial correlation pattern between land space development and eco-environment has a great significance to promote high-quality development and ecological civilization construction in the region. The entropy weight method and index system evaluation method were employed to calculate the land space development degree and eco-environment level of prefecture-level cities from 2008 to 2018 in Henan Province respectively. On this basis, the coupling coordination degree model and spatial auto-correlation method were adopted to evaluate their coupling coordination degree and spatial correlation of spatial-temporal pattern characteristics. The results showed that from 2008 to 2018, the land space development level of each cities was stable and improved, and the eco-environment level of each city showed a tendency of slow reduction and improvement. The coupling coordination degree of land space development and eco-environment in Henan Province was in a verge of disorders and barely coordination stage at present in the whole, and it showed an increasing trend over time, with obvious differences in spatial distribution. On the whole, it presented a pattern of “coordinated transition in the middle and east, coordinated promotion in the middle and northwest”. The global spatial auto-correlation results showed that there was a positive correlation of land space development and eco-environment level. In addition, the coupling coordination degree between land space development and eco-environment was positively correlated over the years, and had obvious agglomeration characteristics. The HH type emerged as the shape of “cluster”, and the LL type was changed from “scatter” to “cluster”, while LH type was mostly scattered around LL type. Spatially, the central and western regions had a high degree of coupling coordination, and most of them formed HH agglomeration area, while the eastern and southern regions had weak coupling coordination, and most of them formed LL agglomeration area. It was suggested to implement scientific and high-quality development path of land space, reasonably coordinate the social, economic and ecological environment of Henan Province, and then promote regional sustainable development. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 35

Main heading: Agglomeration

Controlled terms: Ecology? - ?Sustainable development

Uncontrolled terms: Coordination degree? - ?Coupling coordination degree? - ?Development environment? - ?Eco-environments? - ?Henan Province? - ?High quality? - ?Land space development? - ?Space development? - ?Spatial correlations? - ?Spatiotemporal patterns

Classification code: 454.3 Ecology and Ecosystems? - ?802.3 Chemical Operations

Numerical data indexing: Size 5.10032E+01m to 5.12572E+01m

DOI: 10.6041/j.issn.1000-1298.2022.08.027

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

39. Coupling Effect and System Optimization of Controlled-release Fertilizer and Water in Arid Salinized Areas

Accession number: 20224513059185

Title of translation:

Authors: Li, Xianyue (1); Xin, Maoxin (1); Shi, Haibin (1); Yan, Jianwen (1); Zhao, Chunyan (1); Hao, Yunfeng (2)

Author affiliation: (1) College of Water Resources and Civil Engineering, Inner Mongolia Agricultural University, Huhhot; 010018, China; (2) Bayannur Institute of Agriculture and Animal Husbandry Research, Bayannur; 015000, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 397-406

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to explore the salinization area controlled release nitrogen fertilizer coupling effect and optimum combination plan, improve the utilization efficiency of water and nitrogen, nitrate nitrogen loss reduction, a test of controlled release fertilizer application fields with different water and nitrogen ratios was conducted in 2019 and 2020 in Hetao Irrigation District, and the salinization of sunflower water yield and nitrogen use efficiency of controlled release fertilizer and traditional fertilizer were investigated. The effects of different water and nitrogen ratios of controlled release fertilizer on sunflower yield and water and nitrogen use efficiency were explored, and the mathematical regression model of interaction between economic benefit and water and nitrogen was established, and the water and nitrogen combination scheme was optimized. The results showed as follows: compared with traditional fertilizer, yield, nitrogen agronomic efficiency, partial nitrogen productivity and irrigation water efficiency of controlled release fertilizer were increased by 13. 89%, 46. 42%, 13. 61% and 13. 62% on average (P 0. 05) . Under controlled release fertilizer application, the interaction of different water and nitrogen treatments was obvious, and controlled irrigation limited nitrogen use efficiency. Sunflower yield, nitrogen fertilizer agricultural utilization efficiency and nitrogen fertilizer partial productivity were increased by 21. 87%, 80. 89% and 21. 53%, respectively. Low N also reduced water use efficiency. From low N to medium N, sunflower yield and irrigation water use efficiency were increased by 14. 83% and 15. 35% on average, and from medium N to high N it was increased by 3. 86% and 3. 43% on average, respectively. The maximum yields in 2 a were 3 943. 5 kg / hm2 and 3 788. 7 kg / hm2 under high water and high nitrogen treatments, respectively. Under the condition of controlled release fertilizer application, the relationship between irrigation amount, nitrogen application amount and economic benefit of sunflower was in line with binary quadratic regression model. The determination coefficient R2 of the predicted economic benefit and actual economic benefit in two years was 0. 99. Through principal factor analysis, economic benefit was increased first and then decreased with the increase of nitrogen application amount. Under the condition of full irrigation of controlled release fertilizer, the economic benefit of medium nitrogen level was between 18 000 yuan / hm2 and 21 000 yuan / hm2 , which was the optimal treatment in this experiment. It can increase yield and reduce nitrogen loss, and provide technical reference for sunflower planting and reducing farmland non-point source pollution in Hetao Irrigation District. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 33

Main heading: Nitrogen fertilizers

Controlled terms: Economic and social effects? - ?Efficiency? - ?Irrigation? - ?Productivity? - ?Regression analysis? - ?Water management? - ?Water supply

Uncontrolled terms: Controlled-release fertilizers? - ?Economic benefits? - ?Fertilizer applications? - ?Nitrogen-use efficiency? - ?Regression modelling? - ?Sunflower? - ?Utilization efficiency? - ?Water and fertilizer utilization efficiency? - ?Water nitrogen coupling? - ?Yield

Classification code: 446.1 Water Supply Systems? - ?804 Chemical Products Generally? - ?821.2 Agricultural Chemicals? - ?821.3 Agricultural Methods? - ?913.1 Production Engineering? - ?922.2 Mathematical Statistics? - ?971 Social Sciences

Numerical data indexing: Percentage 4.20E+01%, Percentage 4.30E+01%, Percentage 5.30E+01%, Percentage 6.10E+01%, Percentage 6.20E+01%, Percentage 8.30E+01%, Percentage 8.60E+01%, Percentage 8.70E+01%, Percentage 8.90E+01%, Size 5.12826E+01m, Size 5.1308E+01m, Mass 5.00E+00kg, Mass 7.00E+00kg, Percentage 3.50E+01%

DOI: 10.6041/j.issn.1000-1298.2022.08.043

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

40. Blockchain Traceability Data Storage Method of Fruit and Vegetable Foods Supply Chain Based on Smart Contract

Accession number: 20224513059898

Title of translation:

Authors: Sun, Chuanheng (1); Yu, Huajing (1); Luo, Na (2, 3); Xu, Daming (2, 3); Xing, Bin (2, 3); Yang, Xinting (2, 3)

Author affiliation: (1) College of Information Technology, Shanghai Ocean University, Shanghai; 201306, China; (2) National Engineering Research Center for Information Technology in Agriculture, Beijing; 100097, China; (3) National Engineering Laboratory for Agri-product Quality Traceability, Beijing; 100097, China

Corresponding author: Yang, Xinting(yangxt@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: 8

Issue date: August 2022

Publication year: 2022

Pages: 361-370

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: With the development of blockchain agricultural foods traceability technology, the quality and safety of fruits and vegetables are guaranteed. As the traceability of fruits and vegetables in China has a large span, long traceability cycle and wide coverage, and the blockchain network data ledger is backed up by the joint network nodes, the storage of massive traceability data is under great pressure, while all traceability data are transparently shared, resulting in the data not being able to be all upstream and downstream traceability enterprises to share in a real time, the safety of data is difficult to be effectively guaranteed, and the regulatory departments cannot regular traceability data efficiently. When there is a problem of agricultural foods quality and safety, the responsibility cannot be located and the source of the problem can hardly be found. Based on the above problems, a traceability framework for fruits and vegetables was designed based on blockchain multi-chain architecture, a data storage model was designed, and encrypted storage on the chain of traceability data classification, authorized access between chains and decrypted query based on authorized credentials were realized through smart contracts to ensure the privacy of whole traceability supply chain. Data encryption on the chain can reduce the pressure of storage and realize the sharing of privacy data of upstream and downstream traceability enterprises without silo authorization. Based on the Hyperledger Fabric channel technology of consortium chain, the multi-chain traceability system was realized. After proliferation test, the smart contract scheme of on-chain encryption and evidence storage, inter-chain sharing based on authorized credentials and on-chain decryption query, which was composed of symmetric encryption and elliptic curve hybrid encryption, had a private trace-data cipher text change rate of more than 95% and a key cipher text change rate of more than 94%, which possesses high security and confusion. After performance testing, the average time delay of public traceability data query was 56 9 ms, the average time delay of privacy traceability data decryption query was 62 87 ms, and the average time delay of processing data upload was 2 16 s, which can meet the actual application requirements of fruits and vegetables traceability system. The research result can provide a feasible reference solution for the classification and storage of traceability data of fruits and vegetables in China. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 21

Main heading: Smart contract

Controlled terms: Blockchain? - ?Classification (of information)? - ?Cloud storage? - ?Cryptography? - ?Data privacy? - ?Distributed ledger? - ?Fruits? - ?Supply chains? - ?Time delay? - ?Vegetables

Uncontrolled terms: Agricultural foods? - ?Average time delay? - ?Block-chain? - ?Data storage? - ?Down-stream? - ?Fruit and vegetable food? - ?Fruit and vegetables? - ?Multi-chain? - ?Traceability? - ?Vegetable food

Classification code: 713 Electronic Circuits? - ?716.1 Information Theory and Signal Processing? - ?722.1 Data Storage, Equipment and Techniques? - ?723.3 Database Systems? - ?821.4 Agricultural Products? - ?902.3 Legal Aspects? - ?903.1 Information Sources and Analysis? - ?911.3 Inventory Control? - ?912 Industrial Engineering and Management? - ?913 Production Planning and Control; Manufacturing

Numerical data indexing: Percentage 9.40E+01%, Percentage 9.50E+01%, Time 1.60E+01s, Time 8.70E-02s, Time 9.00E-03s

DOI: 10.6041/j.issn.1000-1298.2022.08.039

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

41. Simulation Optimization and Experiment on Compound Cleaning System of Hilly Area Flax Combine Harvester

Accession number: 20224513059469

Title of translation:

Authors: Shi, Ruijie (1); Dai, Fei (1); Zhao, Wuyun (1); Liu, Xiaolong (1); Wang, Tianfu (1); Zhao, Yiming (1)

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

Corresponding author: Zhao, Wuyun(zhaowy@gsau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 93-102+113

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the limited spatial layout of hilly flax combined harvester and the slight difference in flax exfoliate traits after harvesting, the large degree of mixing, and difficulty in the clearing, to improve the cleaning efficiency of hilly mountain flax combined harvester, and explore the working mechanism of hilly flax integrated harvester compound sorting system, the primary selection mode of hilly flax combined harvester + precise compound cleaning system was taken as the research object and the preliminary selection system, the selection system CFD model and the flax extract DEM model were established respectively. CFD – DEM combined simulation technology was used to study the optimal working parameters of the hilly flax integrated harvester compound sorting system and the movement trajectory and spatial morphology of each component of the extractant. The separation law of the extract of hilly area flax combined harvester was obtained, and the verification test was carried out to verify the reliability of the simulation model. The CFD – DEM co-simulation results showed that when the inlet wind speed of the primary cleaning system was 12.4 m/s, the seed loss rate of the preceding cleaning system was 0.3%, the short stem discharge rate was 71.43%, the glumes discharge rate was 69.34%, the light impurity discharge rate was 65.34%, and the impurity content rate was 39.01%, and the centrifugal fan speed of the precise cleaning system was 1 154 r/min, the seed loss rate of the precise cleaning system was 0, the short stem discharge rate was 40%, the glumes discharge rate was 75%, the light impurity discharge rate was 100%, and the impurity content rate was 2.56% . In the primary system, the initial instantaneous velocity and displacement of the explants entering the airfield change in the order of light impurity, glumes, flax seeds, and short stalks. In the precise system, the initial instantaneous velocity and displacement of the explants entering the airfield were in the order of glume shell, light impurity, short stem, and flax seed. The results showed that when the water content of flax seed was 5.34%, the impurity rate of the machine was 3.61%, and the total loss rate was 1.98% . The whole machine ran smoothly during the operation, and the operation indexes met the standard of mechanized flax harvest. The experimental results agreed well with the simulation results, which verified the model’s reliability. The research result can provide some reference for the design and working mechanism research of the cleaning system of flax combine harvester in the hilly area. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 28

Main heading: Flax

Controlled terms: Cleaning? - ?Fans? - ?Harvesters? - ?Linen? - ?Morphology? - ?Wind

Uncontrolled terms: CFD – DEM co-simulation? - ?CFD-DEM? - ?Cleaning system? - ?Combine harvesters? - ?Compound cleaning system? - ?Cosimulation? - ?Discharge rates? - ?Flax combine harvester? - ?Hilly areas? - ?Light impurities

Classification code: 443.1 Atmospheric Properties? - ?618.3 Blowers and Fans? - ?802.3 Chemical Operations? - ?819.1 Natural Fibers? - ?819.5 Textile Products and Processing? - ?821.1 Agricultural Machinery and Equipment? - ?931.2 Physical Properties of Gases, Liquids and Solids? - ?951 Materials Science

Numerical data indexing: Percentage 7.143E+01%, Percentage 7.50E+01%, Velocity 1.24E+01m/s, Angular velocity 2.5718E+00rad/s, Percentage 1.00E+02%, Percentage 1.98E+00%, Percentage 2.56E+00%, Percentage 3.00E-01%, Percentage 3.61E+00%, Percentage 3.901E+01%, Percentage 4.00E+01%, Percentage 5.34E+00%, Percentage 6.534E+01%, Percentage 6.934E+01%

DOI: 10.6041/j.issn.1000-1298.2022.08.010

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

42. Automatic Extraction Method of Crop Leaves from Complex Background Based on Multi/hyperspectral Imaging

Accession number: 20224513059395

Title of translation: /

Authors: Yu, Jiajia (1); Ji, Xusheng (2, 3); Li, Xiaoli (2, 3)

Author affiliation: (1) Zhejiang Institute of Mechanicaland Electrical Engineering, Hangzhou; 310053, China; (2) College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou; 310058, China; (3) Center of Digital Agriculture and Agricultural Information, Zhejiang University, Hangzhou; 310058, China

Corresponding author: Li, Xiaoli(xiaolili@zju.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 240-249

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: As the primary photosynthetic organ of plants, the leaf is essential for almost all crops. Extracting pure leaf pixels is a prerequisite for estimating leaf physiological parameters or plant disease by using remote sensing images accurately. Therefore, identifying crop leaf pixels accurately, efficiently, and automatically from images are significant for the research of plant phenomics. Unfortunately, previous methods usually were developed from the view of computer vision with the process of having insight into leaf spectral characters abandoned, which is harmful to extract leaf pixels from hyperspectral or multispectral images, so the existing method is poor in these images. An automated method of leaf pixels extraction for hyperspectral or multispectral images was proposed by exploring the internal mechanism of crop leaf pixels identification. After spectral feature compression and conversion for measured hyperspectral and simulated multispectral images, this method performed local adaptive threshold segmentation (ATS) and Canny edge detector (Canny), respectively, so that the advantages of the selected two algorithms were integrated. Following all of this, a novel gradient-based breakpoint connection algorithm was applied. Eventually, an automated crop leaf pixels identification method was developed. The results demonstrated that EVI was superior in enhancing the spectral signatures of the crop leaves. Additionally, NDVI also can strengthen the leaves features, but this ability was slightly worse than EVI. Furthermore, it was highlighted that the ability of vegetation indexes derived from red edges bands was limited in enhancing leaf spectral features. The proposed method can identify crop leaf pixels effectively, with all accuracy evaluation parameters up to above 0 94. Compared with OTSU, Marker-watershed, and other typical methods, the accuracy was remarkably improved with increases in all evaluation parameters by 29% to 98%, which was similar to the performance of a fully convolutional network (FCN) or random forests (RF) algorithms. However, when ignoring the time-consuming labeling collection activities of FCN and RF, the leaf identification efficiency was improved by about 73% than them. By the combination of feature conversion, ATS, and Canny detector, the crop leaf pixels can be identified accurately, efficiently, and automatically from hyperspectral or multispectral images, without labor-extensive and time-consuming labeling collection activities. The input images were arbitrary for the method so that its potential for estimating leaf physiological parameters or taking the place of the manual labeling activities in deep learning or supervision algorithms. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 55

Main heading: Pixels

Controlled terms: Crops? - ?Decision trees? - ?Edge detection? - ?Efficiency? - ?Extraction? - ?Feature extraction? - ?Image segmentation? - ?Parameter estimation? - ?Physiological models? - ?Physiology ? - ?Plants (botany)? - ?Remote sensing

Uncontrolled terms: Automatic extraction? - ?Complex background? - ?Crop leaf pixel? - ?Crop leaves? - ?Feature conversion? - ?HyperSpectral? - ?Multi / hyperspectral imaging? - ?Multispectral images? - ?Physiological parameters? - ?Spectral feature

Classification code: 461.9 Biology? - ?802.3 Chemical Operations? - ?821.4 Agricultural Products? - ?913.1 Production Engineering? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory? - ?961 Systems Science

Numerical data indexing: Percentage 2.90E+01% to 9.80E+01%, Percentage 7.30E+01%

DOI: 10.6041/j.issn.1000-1298.2022.08.025

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

43. Very Large Eddy Simulation Analysis of Turbulent Flow Characteristic and Mechanisms for Turbulent Loss in Hydrofoil Tip Clearance Flows

Accession number: 20224513059820

Title of translation:

Authors: Chen, Weisheng (1); Li, Yaojun (1, 2); Liu, Zhuqing (1, 2); Yang, Wei (1, 2)

Author affiliation: (1) College of Water Resources and Civil Engineering, China Agricultural University, Beijing; 100083, China; (2) Beijing Engineering Research Center of Safety and Energy Saving Technology for Water Supply Network System, Beijing; 100083, China

Corresponding author: Liu, Zhuqing(lzq@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: 8

Issue date: August 2022

Publication year: 2022

Pages: 144-153

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The tip-leakage flows over an NACA0009 blunt trailing edge hydrofoil with different tip gap width (τ = 0.1c and 0.02c, c is hydrofoil chord length) and tip edge rounding (rounding radius r = 0, 0.5% c and 1% c) were studied by using SST k – ω turbulent model based very large eddy simulation (VLES) with particular emphasis on understanding the turbulence characteristics and the underlying mechanisms for turbulent loss in the vicinity of the tip gap. Systematic and detailed analysis of the vortex structures, Reynolds stresses, turbulent kinetic energy and tip clearance turbulent loss was made around the hydrofoil with a stationary endwall. Results showed that the Reynolds stress distributions in the tip gap region were consistent with the distributions of the tip clearance vortices, and the magnitude of the normal stresses ?v′v′? and ?w′w′? around the tip gap vortices were larger than that of other Reynolds stress components. For the gap τ = 0.1c, turbulent kinetic energy and Reynolds stresses of the tip clearance flow were found to be concentrated in the tip separated vortex (TSV) region, the velocity gradient ??v? / ?z and the spanwise normal stress ?w′w′? dominated the generation of turbulent kinetic energy in the TSV region; as the tip rounding radius increased, the significant decrease of the Reynolds stresses resulted in a reduction of the tip clearance turbulent loss. For gap size of 0.02c, the strong entrainment of the tip leakage vortex (TLV) on the end-wall boundary layer induced the formation of an induced vortex (IV), which rotated opposite to the TLV. The tip clearance turbulent loss mainly occurred in the TLV and IV regions for the smaller tip gap cases, and its magnitude was increased with the increase of the rounding radius. The underlying mechanism for this tendency was that enlarging the tip clearance increased the normal Reynolds stress ? v′ v′? and the velocity gradient ? ? v ? / ? y, which dominated the production of turbulent kinetic energy in the IV region; and it also led to an increase of the Reynolds shear stress ? v′ w′? and velocity gradient (? ? v ? / ? z + ? ? w ? / ? y), which dominated the generation of turbulent kinetic energy in the TLV region. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 23

Main heading: Large eddy simulation

Controlled terms: Atmospheric thermodynamics? - ?Boundary layer flow? - ?Boundary layers? - ?Hydrofoils? - ?Kinetic energy? - ?Kinetics? - ?Reynolds number? - ?Shear flow? - ?Shear stress? - ?Turbulent flow ? - ?Velocity? - ?Vortex flow

Uncontrolled terms: Large-eddy simulations? - ?Reynolds stress? - ?Tip clearance? - ?Tip clearance flow? - ?Tip clearance turbulent loss? - ?Tip leakage vortex? - ?Turbulent kinetic energy? - ?Velocity gradients? - ?Very large eddy simulation? - ?Vortex regions

Classification code: 443.1 Atmospheric Properties? - ?631 Fluid Flow? - ?631.1 Fluid Flow, General? - ?641.1 Thermodynamics? - ?921 Mathematics? - ?931 Classical Physics; Quantum Theory; Relativity

Numerical data indexing: Percentage 1.00E00%, Percentage 5.00E-01%

DOI: 10.6041/j.issn.1000-1298.2022.08.015

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

44. Design and Experiment of Oblique Anti-blocking Device for No-tillage Planter with Shallow Plowing Stubble Clearing

Accession number: 20224513059161

Title of translation:

Authors: Yao, Wenyan (1); Zhao, Dianbao (1); Miao, Hequan (1); Cui, Peide (1); Wei, Maojian (1); Diao, Peisong (1)

Author affiliation: (1) School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo; 255049, China

Corresponding author: Diao, Peisong(dps2003@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 42-52

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In view of the problem that excessive wheat straw residues blocked the furrow opener in the no-tillage sowing operation in Huang Huai Hai region, an oblique anti-blocking device was proposed to achieve the cleaning of the seedling bed in the form of dial-off stubble and shallow rotation stubble. The structural parameters of the anti-blocking device were designed to determine the stubble clearing width, tillage spacing, knife shaft position and inclination range. According to the device structure, the force analysis of the plough blade in the anti-blocking process was carried out to determine the factors affecting the working performance. Through the discrete element simulation of anti-blocking device in the field operation process, taking straw cleaning rate, soil disturbance coefficient and power consumption as evaluation indexes, regression analysis and significance test were carried out on the inclination angle, revolution speed and forward speed of the device, and the influence of various factors on the evaluation index and the primary and secondary order were determined. The order of influence on straw clearance rate and soil disturbance coefficient was inclination angle, forward speed and rotational speed, and the order of influence on power consumption was inclination angle, rotational speed and forward speed. Through the multi-objective function optimization of the regression model, the optimal combination of parameters was obtained as follows: rotational speed of 400 r / min, forward speed of 6 km / h, inclination of 18. 5., and the straw clearance rate was 74. 5%, the soil disturbance coefficient was 34. 7%, and the power consumption was 1. 36 kW. The soil bin test was carried out on the device with the optimized parameters to verify the working performance of the anti-blocking device. The test results showed that compared with the inclination angle of 0., when the rotational speed was 400 r / min, the forward speed was 6 km / h, and the inclination angle was 18. 5., the straw clearance rate and the straw side throw were improved, the soil disturbance coefficient was increased, the moving soil rate was increased, the soil backfill rate was decreased, the power consumption was increased, the three-axis resultant force was decreased, and the three-axis resistance was increased. At this time, the straw clearance rate was 92. 5%, the soil disturbance coefficient was 29. 6%, and the power consumption was 1. 51 kW. The test results were consistent with the optimization results of the simulation test, which met the design requirements. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 28

Main heading: Electric power utilization

Controlled terms: Agricultural machinery? - ?Factor analysis? - ?Regression analysis? - ?Rotation? - ?Soils? - ?Speed? - ?Straw

Uncontrolled terms: Blockings? - ?EDEM simulation? - ?Forward speed? - ?Inclination angles? - ?No-tillage planter? - ?Oblique anti-blocking device? - ?Shallow plowing stubble clearing? - ?Soil bin test? - ?Soil bins? - ?Soil disturbances

Classification code: 483.1 Soils and Soil Mechanics? - ?706.1 Electric Power Systems? - ?821.1 Agricultural Machinery and Equipment? - ?821.5 Agricultural Wastes? - ?922.2 Mathematical Statistics? - ?931.1 Mechanics

Numerical data indexing: Angular velocity 6.68E+00rad/s, Percentage 5.00E+00%, Percentage 6.00E+00%, Percentage 7.00E+00%, Power 3.60E+04W, Power 5.10E+04W, Size 6.00E+03m

DOI: 10.6041/j.issn.1000-1298.2022.08.005

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

45. Research on Seed Feeding Device with Constant Width Polygon Groove-tooth Wheel of Air-assisted Centralized Metering Device for Wheat

Accession number: 20224513059297

Title of translation:

Authors: Wang, Lei (1, 2); Shu, Caixia (1, 2); Xi, Rijing (1); Liao, Qingxi (1, 2); Liu, Jiacheng (1, 2); Liao, Yitao (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 author: Liao, Yitao(liaoetao@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: 8

Issue date: August 2022

Publication year: 2022

Pages: 53-63

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Considering the problem that the wheat seeds have poor fluidity in the seed filling link of the seed feeding device of air-assisted centralized metering device for wheat, which leads to unstable seed filling and feeding, a seed feeding device with constant width polygon groove-tooth wheel for wheat was developed. The working principle of the seed feeding device was described. The main structural parameters of the constant width polygon groove-tooth wheel were determined. The effects of different structure types of groove-tooth wheel on seed population disturbance ability, seed filling and seed feeding performance were compared and analyzed by EDEM. The simulation results showed that when the rotating speed of the seed feeding shaft was 20 r/min, with the increase of side quantity of the constant width polygon groove-tooth wheel, the average kinetic energy of the seed population was gradually decreased, and the average disturbance ability to the seed population was decreased in turn. Nevertheless, the interval between the adjacent average kinetic energy peaks was decreased and the frequency of disturbing the seed population was increased. The average kinetic energy of the seed population under the disturbance of the constant width triangular, the constant width pentagonal, the constant width heptagonal, and the constant width nonagon groove-tooth wheel was 371.32%, 209.23%, 91.02%, and 53.37% higher than that of circular groove-tooth wheel, respectively. Taking the quality rate of seed filling ((2 ± 1) grain/hole) and missing rate of seed filling (0 grain/hole) as indicators, the quality rate of seed filling and missing rate of the constant width heptagonal groove-tooth wheel were 93.98% and 2.78%, respectively. The seed feeding quantity and seed feeding time had high linearity, and the seed filling and seed feeding performance were better. The bench test verified the seed feeding performance of the seed feeding device with the constant width heptagonal groove-tooth wheel and the effect of seed feeding device on seeding performance. The results showed that when the rotating speed was 10 ~ 60 r/min, the variation coefficient of seed feeding rate stability was not higher than 2.14%, the damage rate was not higher than 0.20% during feeding process, the variation coefficient of total seeding mass stability was not higher than 2.15%, the damage rate was not higher than 0.23% during seeding process, which met the requirements of stable wheat seed feeding. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 22

Main heading: Wheels

Controlled terms: Feeding? - ?Filling? - ?Geometry? - ?Grain (agricultural product)? - ?Kinetic energy? - ?Kinetics? - ?Rotating machinery

Uncontrolled terms: Air-assisted centralized metering device? - ?Centralised? - ?Constant width polygon groove-tooth wheel? - ?Feeding devices? - ?Metering devices? - ?Performance? - ?Seed feeding device? - ?Seed filling? - ?Wheat? - ?Wheat seeds

Classification code: 601.1 Mechanical Devices? - ?601.2 Machine Components? - ?631.1 Fluid Flow, General? - ?691.2 Materials Handling Methods? - ?821.4 Agricultural Products? - ?921 Mathematics? - ?931 Classical Physics; Quantum Theory; Relativity

Numerical data indexing: Angular velocity 1.67E-01rad/s to 1.002E+00rad/s, Angular velocity 3.34E-01rad/s, Percentage 2.00E-01%, Percentage 2.0923E+02%, Percentage 2.14E+00%, Percentage 2.15E+00%, Percentage 2.30E-01%, Percentage 2.78E+00%, Percentage 3.7132E+02%, Percentage 5.337E+01%, Percentage 9.102E+01%, Percentage 9.398E+01%

DOI: 10.6041/j.issn.1000-1298.2022.08.006

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

46. Design and Test of Electric Driving Pneumatic Carrot Planter in Greenhouse

Accession number: 20224513059925

Title of translation:

Authors: Wang, Fangyan (1); Yang, Liang (1); Wang, Hongti (1)

Author affiliation: (1) School of Electrical and Mechanical Engineering, Qingdao Agricultural University, Qingdao; 266109, China

Corresponding author: Wang, Hongti(lntizi59@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 64-73+131

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: At present, the small planters that can adapt to the planting conditions of the facility greenhouses mostly use the cell wheel seed-metering device, so the seeding accuracy is low, and the seeding quality cannot be immediately known. Small pneumatic planters need to be equipped with pneumatic seed-metering device and fan, while there are design problems such as power system design, poor seed metering stability, complex structure and bulkiness of the whole machine. On the basis of the air suction seed-metering device designed previously, a fork-shaped seed divider was developed to realize narrow row spacing. The seeder would not stray meanwhile working on the ridge because the wheel having a guided effect was designed. Due to the oil-electric hybrid power system, the machine had independent power system, that meant the gas online engine provided seeder driving force as well as the electric offered the seed-metering device and draught fan power. In this way, seeding performance was improved. In terms of automation, the carrot precision seeder system of electric driving was designed based on the speed measurement method of rotary encoder. PLC was the main controller of this system. According to the advance speed message collected by rotary encoder, the speed of seeding was adjusted in real time, as well as realized the real-time matching between the speed of seeding and the advance speed of the seeder. In order to solve the monitoring problem of small grain size seeds, a monitoring system for seeding quality was developed, which can display leaky seeding number and sowing area in real time during operation. Through adopting bijective matrix fiber optic sensor monitoring the flow of seed, counting test proved the counting relative error was not more than 4. 6% . On the other hand through the leaky alarm system, it was tested by plugging seed cells artificially. The test results showed that the system can effectively monitor the leakage and meet the requirements of production and use. The rotary encoder was used to measure the speed of the seeder, and the servo motor drived the seeder. The seeding control system adjusted the speed of the seeder, so that the speed of the seeder matched the advance speed of the seeder in real time, so as to realize the uniform sowing distance of the whole plot. The field experiment showed that the endurance of the battery reached 10 hours, the qualified rate of the plant spacing was more than 93. 7%, the reseeding rate was less than 2. 4%, and the leaky seeding rate was not more than 3. 9% . The experimental result met the national relevant criterion whose sowing depth was uniform and averagely 17 mm. Compared with several cognate type of carrot seeders, the reseeding rate and the leaky seeding rate were reduced, the sowing quality could be monitored in real time, the monitoring error was less than 8. 4%, and the working efficiency and sowing quality were improved. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 31

Main heading: Speed

Controlled terms: Alarm systems? - ?Efficiency? - ?Fiber optic sensors? - ?Monitoring? - ?Pneumatics? - ?Seed? - ?Wheels? - ?Wire

Uncontrolled terms: Advance speed? - ?Air suction? - ?Carrot? - ?Electric driving? - ?Facility agricultures? - ?Precision planter? - ?Real time monitoring system? - ?Real- time? - ?Rotary encoder? - ?Seed-metering device

Classification code: 535.2 Metal Forming? - ?601.2 Machine Components? - ?632.3 Pneumatics? - ?741.1.2 Fiber Optics? - ?821.4 Agricultural Products? - ?913.1 Production Engineering

Numerical data indexing: Percentage 4.00E+00%, Percentage 6.00E+00%, Percentage 7.00E+00%, Percentage 9.00E+00%, Size 1.70E-02m, Time 3.60E+04s

DOI: 10.6041/j.issn.1000-1298.2022.08.007

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

47. Relationship between Trace Greenhouse Gas Emission and Water and Nitrogen Utilization under Water Biochar Management in Paddy Fields

Accession number: 20224513059569

Title of translation:

Authors: Zhang, Zuohe (1, 2); Li, Tiecheng (2, 3); Zhang, Zhongxue (2, 3); Li, Kai (1); Li, Haoyu (1); Kong, Fandan (1)

Author affiliation: (1) College of Agriculture and Hydraulic Engineering, Suihua University, Suihua; 152061, China; (2) School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin; 150030, China; (3) Key Laboratory of Effective Utilization of Agricultural Water Resources, Ministry of Agriculture and Rural Affairs, Northeast Agricultural University, Harbin; 150030, China

Corresponding author: Zhang, Zhongxue(zhangzhongxue@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 379-387

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to reveal the emission law of trace greenhouse gases from black soil paddy fields in cold regions and the relationship between trace greenhouse gas emission from paddy fields and water use efficiency and nitrogen absorption and utilization efficiency, two water management modes of dry wet alternate irrigation and traditional flooding irrigation and four biochar application levels (0 t/hm2, 2.5 t/hm2, 12.5 t/hm2 and 25 t/hm2) were set. Compared with traditional flooding irrigation, 15N tracer technology was applied to study the seasonal variation of methane and nitrous oxide emissions from black soil paddy fields in cold regions under water biochar management, clarify the relationship between rice water and nitrogen utilization and methane and nitrous oxide emissions, and calculate the global warming potential (GWP) and emission intensity (GHGI) of greenhouse gases. The results showed that when the biochar application rate was the same, the methane emission flux of the traditional flooding irrigation mode was significantly higher than that of the dry wet alternate irrigation mode (P ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 31

Main heading: Greenhouse gases

Controlled terms: Agricultural pollution? - ?Efficiency? - ?Emission control? - ?Floods? - ?Gas emissions? - ?Global warming? - ?Irrigation? - ?Methane? - ?Nitrogen fertilizers? - ?Nitrogen oxides ? - ?Soils? - ?Water absorption? - ?Water management

Uncontrolled terms: ’Dry’ [? - ?Biochar? - ?Floodings? - ?Global warming potential? - ?Greenhouses gas? - ?Irrigation modes? - ?Nitrogen utilization? - ?Nitrous oxide? - ?Paddy fields? - ?Water use efficiency

Classification code: 443.1 Atmospheric Properties? - ?451.1 Air Pollution Sources? - ?451.2 Air Pollution Control? - ?454.2 Environmental Impact and Protection? - ?483.1 Soils and Soil Mechanics? - ?802.3 Chemical Operations? - ?804 Chemical Products Generally? - ?804.1 Organic Compounds? - ?804.2 Inorganic Compounds? - ?821.2 Agricultural Chemicals? - ?821.3 Agricultural Methods? - ?913.1 Production Engineering

Numerical data indexing: Force 1.50E+01N

DOI: 10.6041/j.issn.1000-1298.2022.08.041

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

48. Extremely Randomized Trees Estimation of Soil Heavy Metal Content by Fusing Spectra and Spatial Features

Accession number: 20224513059142

Title of translation:

Authors: Haiyang, Yu (1, 2); Saifei, Xie (1, 2); Linghui, Guo (1); Peng, Liu (3, 4); Ping, Zhang (1, 2)

Author affiliation: (1) School of Surveying and Land Information Engineering, Henan Technology University, Jiaozuo; 454003, China; (2) Key Laboratory of Mine Spatio-temporal Information and Ecological Restoration, Ministry of Natural Resources, Henan Technology University, Jiaozuo; 454003, China; (3) Henan Key Laboratory for Dynamic Monitoring of Land Resources, Henan Academy of Natural Resources Sciences, Zhengzhou; 450053, China; (4) Institute of Remote Sensing Technology, Henan Aero Geophysical Survey and Remote Sensing Center, Zhengzhou; 450053, China

Corresponding author: Linghui, Guo(guolinghui@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: 8

Issue date: August 2022

Publication year: 2022

Pages: 231-239

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problems of weak spectral characteristic information and poor robustness of model inversion in the estimation of soil heavy metal content by hyperspectral remote sensing, it was proposed to construct spatial features of pollution source and sink to quantify the spatial influence factors of pollutant diffusion and aggregation, and integrate the spectral features to establish the estimation model of soil heavy metal content based on extremely randomized trees (ERT). Taking the cultivated soil of Jiyuan City as the study area, totally 249 soil samples were collected. The effectiveness and influence mechanism of spectral features, topographic features and spatial features of pollution sources in the inversion of soil heavy metal Pb and Cd were analyzed. The multi-source characteristics were optimized by permutation importance index, and the prediction accuracy of ERT model was evaluated by comparing with various regression models. The research showed that the ERT model constructed from the transformed soil spectral features can achieve a certain inversion accuracy, and the accuracy was significantly improved after the introduction of topographic features and spatial features of pollution sources. In particular, the advantage of the spatial features of pollution sources was more obvious, the RMSE of Pb ERT model was decreased from 43.185 mg / kg to 22.301 mg / kg, with decrease of 48.36%, the RMSE of Cd ERT model was decreased from 0.738 mg / kg to 0.371 mg / kg, with down of 49.73%, which fully demonstrated the effectiveness of the pollution diffusion spatial features. The results of multifeature combination modeling experiments showed that the features with the high permutation importance index were the spatial features of the pollution source, followed by the spectral features. In the research, the estimation model established by using the selected features of the permutation importance index was very close to the optimal modeling accuracy when all the features were used, which showed the effectiveness of the feature screening method based on the permutation importance index. Compared with regression models such as MLR, SVM, RF, and GBDT, the ERT estimation model had obvious advantages in the evaluation of various indicators. The R2 value of the Pb ERT model in the test set reached 0.964, and the R2 value of the Cd ERT model was 0.923. The experimental results showed that the introduction of the pollutant diffusion spatial features and the fusion of spectral features to construct ERT model to estimate soil heavy metal content had high accuracy and certain popularization and application value. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 25

Main heading: Soils

Controlled terms: Cadmium? - ?Diffusion? - ?Forestry? - ?Land use? - ?Regression analysis? - ?Remote sensing? - ?Soil pollution? - ?Soil surveys

Uncontrolled terms: Extremely randomized tree? - ?Heavy metals content? - ?Hyperspectral remote sensing? - ?Permutation importance? - ?Pollution sources? - ?Randomized trees? - ?Soil heavy metals? - ?Spatial features? - ?Spectral feature? - ?Tree modeling

Classification code: 403 Urban and Regional Planning and Development? - ?483.1 Soils and Soil Mechanics? - ?549.3 Nonferrous Metals and Alloys excluding Alkali and Alkaline Earth Metals? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?922.2 Mathematical Statistics

Numerical data indexing: Mass 2.2301E-05kg, Mass 3.71E-07kg, Mass 4.3185E-05kg, Mass 7.38E-07kg, Percentage 4.836E+01%, Percentage 4.973E+01%

DOI: 10.6041/j.issn.1000-1298.2022.08.024

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

49. Optimization and Experiment of Canopy Vibration Parameters of Camellia oleifera Based on Energy Transfer Characteristics

Accession number: 20224513059766

Title of translation:

Authors: Wu, Delin (1); Zhao, Enlong (1); Jiang, Shan (1); Wang, Weiwei (1); Yuan, Jiahao (1); Wang, Kui (1)

Author affiliation: (1) School of Engineering, Anhui Agricultural University, Hefei; 230036, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 8

Issue date: August 2022

Publication year: 2022

Pages: 23-33

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Camellia oleifera is a unique woody edible oil tree species in China. Trees have complex branching structure in space and the morphological structure and mechanical properties of different tree species are different even among the same tree species. In order to study the energy transfer law and optimal excitation parameters of camellia tree during canopy vibration picking, a mass elasticity damping model of camellia tree with five degrees of freedom was established, including the trunk of camellia tree, two primary side branches and two secondary side branches. The equivalent parameters were measured and calculated by the rope pull test and logarithmic attenuation method. The simulation block diagram of differential motion equation was established by using Simulink component in Matlab software, and the excitation force under different excitation parameters was used as the input for simulation test. The simulation results showed that the energy loss was 80. 9% during the transfer from the secondary branch C1 to C2, that was, less than 20% of the energy was left when the input branch was transferred to the end branch of the path. From the input position along the transfer path, the time for reaching the kinetic energy peak of each branch was extended once, indicating that there was hysteresis in the energy transfer process. The optimization module of Design-Expert 11. 0. 4 software was used to optimize and solve the excitation parameters, because of the serious loss of energy transfer between branches of camellia sinensis, a tree was picked by vibration for 2 ~ 3 times. When the objective function was to maximize the kinetic energy of some side branches and minimize the kinetic energy of the main trunk, and the optimal combination of vibration parameters was obtained as follows: vibration time was 7. 14 s, vibration frequency was 7. 18 Hz, and amplitude was 52. 41 mm. Under this parameter combination, the kinetic energy of camellia trunk A was 2. 59 J. The kinetic energy of the first branch B1 and B2 was 15.09 J and 9.64 J, respectively. The kinetic energy of the secondary branch C1 and C2 was 23. 93 J and 4. 61 J, respectively. Field experiments were carried out to verify the simulation results. The results showed that the kinetic energy was inversely proportional to the transfer distance when the energy was transferred along the branches, and the longer the transfer distance was, the smaller the energy was. The closer to the excitation was, the shorter the time to reach the energy peak. There was also a lag in the energy transfer process inside the branches. The mean kinetic energy of trunk A, primary branch B1, B2 and secondary branch C1 and C2 of Camellia oleifera in field experiment were 2. 73 J, 13. 68 J, 8. 98 J, 22. 05 J and 4. 18 J, respectively, and the relative errors were 7. 34%, 9. 37%, 6. 81%, 7. 86% and 9. 39%, respectively. All of them were less than 10%, indicating that the dynamic model had high reliability. The average abscission rates of Camellia oleifera fruits and buds were 90. 53% and 14.39%, respectively, and the picking effect was good, and the parameter combination met the requirements of mechanized harvesting. The established dynamic model and the optimal combination of predicted vibration parameters can provide reference for the parameter setting of mechanized Camellia oleifera fruit picking operation. ? 2022 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 28

Main heading: Kinetic energy

Controlled terms: Curve fitting? - ?Damping? - ?Degrees of freedom (mechanics)? - ?Energy dissipation? - ?Equations of motion? - ?Forestry? - ?Kinetics? - ?MATLAB? - ?Optimization? - ?Software testing ? - ?Vibration analysis

Uncontrolled terms: Camellia oleifera? - ?Canopy vibration? - ?Energy-transfer? - ?Excitation parameters? - ?Parameter optimization? - ?Side branches? - ?Simulation analysis? - ?Tree species? - ?Vibration parameters? - ?Vibration picking

Classification code: 525.4 Energy Losses (industrial and residential)? - ?631.1 Fluid Flow, General? - ?723.5 Computer Applications? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?921 Mathematics? - ?921.2 Calculus? - ?921.5 Optimization Techniques? - ?921.6 Numerical Methods? - ?931 Classical Physics; Quantum Theory; Relativity? - ?931.1 Mechanics

Numerical data indexing: Energy 1.509E+01J, Energy 1.80E+01J, Energy 5.00E+00J, Energy 5.90E+01J, Energy 6.10E+01J, Energy 6.80E+01J, Energy 7.30E+01J, Energy 9.30E+01J, Energy 9.64E+00J, Energy 9.80E+01J, Frequency 1.80E+01Hz, Percentage 1.00E+01%, Percentage 1.439E+01%, Percentage 2.00E+01%, Percentage 3.40E+01%, Percentage 3.70E+01%, Percentage 3.90E+01%, Percentage 5.30E+01%, Percentage 8.10E+01%, Percentage 8.60E+01%, Percentage 9.00E+00%, Size 4.10E-02m, Time 1.40E+01s

DOI: 10.6041/j.issn.1000-1298.2022.08.003

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village