2021年第1期共收录47篇

1. Ecospatial Network Optimization in Ordos Based on LMBA Strategy

Accession number: 20210910003388

Title of translation: LMBA

Authors: Hou, Hongbing (1, 2); Guo, Hongqiong (1); Yu, Qiang (1); Mao, Xueqing (1); Long, Qianqian (1); Yue, Depeng (1)

Author affiliation: (1) Beijing Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing; 100083, China; (2) Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang; 050061, China

Corresponding author: Yue, Depeng(yuedepeng@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 219-227

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Based on the analysis of network topology and robustness, the LMBA edge-adding optimization strategy was proposed, and three strategies of RA, LDF and SMB were adopted to optimize the network and compare the topology and robustness, respectively. It was found that there were 262 nodes and 402 edges in Ordos eco-spatial network, the network diameter was 38, the maximum betweenness was 418, and the maximum connectivity was 25, there were few important nodes which were all located in the west of the network, the network was extremely uneven, the network structure had a strong ability to recover itself when damaged, but the ability to maintain its own connectivity was very weak. After adding 94 edges, the optimized network diameter of LMBA strategy was 16, the maximum betweenness was 796, the maximum connectivity was 49, the number of important nodes was increased, and the overall efficiency of the network was improved significantly. In addition, RA and LDF strategies also greatly enhanced the network, while the network connectivity enhancement effect of SMB strategy was not significant, but the number of important nodes was increased and moved to the east, and the network structure was also more uniform than that before optimization. After being attacked, the connection robustness of the network was greatly enhanced and the recovery robustness was also improved. Compared with other strategies, the connection and recovery robustness of LMBA strategy was decreased slowly and steadily in two attack modes, which meant that the overall performance of the strategy was optimal and the network had strong connectivity and homogeneous structure, and the ability to maintain its own connectivity in the process of being attacked was optimal and stable, and the recovery of nodes and edges was also good. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 21

Main heading: Computer system recovery

Controlled terms: Recovery? - ?Topology

Uncontrolled terms: Enhancement effects? - ?Homogeneous structure? - ?Network connectivity? - ?Network optimization? - ?Network structures? - ?Optimization strategy? - ?Overall efficiency? - ?Strong connectivity

Classification code: 921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory

DOI: 10.6041/j.issn.1000-1298.2021.01.025

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

2. Effects of Irrigation Amount on Soil Water and Salt Distribution and Summer Maize Yield under Deeply Buried Straw

Accession number: 20210910003271

Title of translation:

Authors: Zhang, Wanfeng (1); Yang, Shuqing (1); Jin, Yahong (1); Lou, Shuai (1); Liu, Peng (1)

Author affiliation: (1) College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Huhhot; 010018, China

Corresponding author: Yang, Shuqing(nmndysq@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 228-237

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: To explore the response of soil water and salt distribution and yield of summer maize to irrigation amount under deeply buried straw, a field experiment of different irrigation amounts under deeply buried straw were carried out in Hetao Irrigation District in 2017 and 2018, respectively. The experiment consisted of four different irrigation amounts. It included irrigation amount of 60 mm (W1), irrigation amount of 90 mm (W2), irrigation amount of 120 mm (W3) under the deeply buried straw, and the local irrigation amount of 135 mm (CK treatment) under local tillage. The results showed that the moisture content of the tillage layer (0~35 cm) was increased first and then decreased with the increase of irrigation amount. At the maturity stage, the moisture content of W1 was 21.3% lower than that of CK treatment, while that of W2 and W3 treatments was increased by 8.6% and 9.4% on average compared with CK treatment. The water content of straw inter-layer (35~40 cm) was increased first and then decreased with the increase of irrigation amount. At the maturity stage, the water content of W1 treatments was decreased by 10.9%, while W2 and W3 treatments were increased by 16.1% and 17.1% compared with CK treatment. And there was no significant difference between W2 and W3 treatments. During the whole growth stage, W1 and CK treatments deposited salt in the straw inter-layer, while W2 and W3 treatments were desalted. At the end of growth stage, the salt accumulation rates of W1 and CK treatments were 27.0% and 11.1%, and the desalination rate of W2 and W3 were 7.6% and 7.1% on average. Compared with CK treatment, the summer maize yield of W1 and W3 treatment was decreased by 20.9% and 0.5%, while the increase of W2 was not significant, only 1.0%. But the water use efficiency of W1, W2 and W3 treatments were significantly increased by 15.2%, 17.3% and 5.1% compared with that of CK treatment (P2 was not less than 0.935. The results showed that under the condition of deeply buried straw the appropriate salt content of the tillage layer was 1.45~1.48 g/kg, and the theoretical irrigation amount should be in the range of 82~111 mm, which could desalinate the root layer, improve the moisture content of the tillage layer, and achieve the goal of water-saving and stable yield. The research only analyzed the coupling effect between irrigation amount and deeply buried straw tillage mode, which enriched the theory of straw utilization in Hetao Irrigation District. But there was no specific analysis on effects of coupling effect of water, fertilizer and farm chemical on the growth of summer maize and the migration of water-salt, which needed to be further tested and studied. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 37

Main heading: Water treatment

Controlled terms: Agricultural chemicals? - ?Chemical analysis? - ?Desalination? - ?Efficiency? - ?Irrigation? - ?Moisture determination? - ?Soil moisture? - ?Soil surveys? - ?Water conservation

Uncontrolled terms: Determination coefficients? - ?Field experiment? - ?Hetao irrigation districts? - ?Irrigation amounts? - ?Quadratic function? - ?Salt accumulations? - ?Water - savings? - ?Water use efficiency

Classification code: 444 Water Resources? - ?445.1 Water Treatment Techniques? - ?483.1 Soils and Soil Mechanics? - ?821.2 Agricultural Chemicals? - ?821.3 Agricultural Methods? - ?913.1 Production Engineering? - ?944.2 Moisture Measurements

Numerical data indexing: Percentage 1.00e+00%, Percentage 1.09e+01%, Percentage 1.11e+01%, Percentage 1.52e+01%, Percentage 1.61e+01%, Percentage 1.71e+01%, Percentage 1.73e+01%, Percentage 2.09e+01%, Percentage 2.13e+01%, Percentage 2.70e+01%, Percentage 5.00e-01%, Percentage 5.10e+00%, Percentage 7.10e+00%, Percentage 7.60e+00%, Percentage 8.60e+00%, Percentage 9.40e+00%, Size 0.00e+00m to 3.50e-01m, Size 3.50e-01m to 4.00e-01m, Size 8.20e-02m to 1.11e-01m

DOI: 10.6041/j.issn.1000-1298.2021.01.026

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

3. Simulation on Variation Characteristics of Soil Water Content under Conservation Tillage

Accession number: 20210910003471

Title of translation:

Authors: Wang, Jun (1); Li, Guang (2); Nie, Zhigang (1); Liu, Qiang (1); Yan, Lijuan (3)

Author affiliation: (1) College of Information Science and Technology, Gansu Agricultural University, Lanzhou; 730070, China; (2) College of Forestry, Gansu Agricultural University, Lanzhou; 730070, China; (3) College of Agronomy, Gansu Agricultural University, Lanzhou; 730070, China

Corresponding author: Li, Guang(lig@gsau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 263-274

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Long-term positioning experiment was used to set up four sorts of tillage measures (traditional tillage, no-tillage, traditional tillage straw mulching and no-tillage with straw cover) for the rotation sequence of spring wheat/pea and pea/spring wheat. The monthly precipitation, monthly average radiation, monthly average evaporation, and monthly crop water consumption were used as input factors, and monthly average soil water content was used as an output to establish a prediction model of soil water content based on long short-term memory (LSTM) neural network, and the validity of the model was evaluated to analyze the differences of soil water content effect of different conservation tillage measures in the Loess Plateau gully region of central Gansu, then the model was applied to simulate the dynamics of the soil water content under four tillage measures in the 0~200 cm soil layer. The results demonstrated that the soil water model based on LSTM neural network had good applicability for predicting soil water content under conservation tillage in the Loess Plateau gully region of central Gansu, the average root mean square error, mean relatively error and determination coefficient of the model were 2.29%, 6.79% and 0.82, respectively. In pea/spring wheat rotation sequence, the soil water content of four treatments was increased by 1.49%, 1.61%, 1.69% and 1.76%, respectively, compared with spring wheat/pea, the descending order of soil water content of the four tillage measures was as follows: no-tillage with straw cover, no-tillage, traditional tillage straw mulching, and traditional tillage in 0~200 cm soil layer, the average soil water content of no-tillage with straw cover was increased by 1.27%, 1.75% and 2.81%, respectively, compared with no-tillage, traditional tillage straw mulching, and traditional tillage. The no-tillage with straw cover had the most significant effect on soil water content in 0~30 cm soil layer, the average soil water content of no-tillage with straw cover was increased by 1.60%, 2.63% and 4.18%, respectively, compared with no-tillage, traditional tillage straw mulching, and traditional tillage. Soil water content of four tillage measures was changed with seasons, but the soil water content effect of no-tillage with straw cover was better than that of the other three tillage measures, the effects of water storage and soil moisture conservation were more significant during pre-crop growth. The LSTM neural network model achieved good simulation results on the soil water content in the Loess Plateau gully region of central Gansu, the soil water content of four tillage measures in the pea/spring wheat rotation sequence was relatively higher, no-tillage with straw cover was beneficial to improve the soil water content of farmland in the study area the under four tillage measures, and the most suitable one was conservation tillage measure in the Loess Plateau gully region of central Gansu. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 40

Main heading: Soil conservation

Controlled terms: Crops? - ?Cultivation? - ?Landforms? - ?Long short-term memory? - ?Mean square error? - ?Moisture control? - ?Multilayer neural networks? - ?Predictive analytics? - ?Sediments? - ?Soil moisture ? - ?Water conservation? - ?Water content? - ?Water supply

Uncontrolled terms: Conservation tillage? - ?Crop water consumption? - ?Determination coefficients? - ?Moisture conservation? - ?Neural network model? - ?Root mean square errors? - ?Soil water content? - ?Variation characteristics

Classification code: 444 Water Resources? - ?446.1 Water Supply Systems? - ?481.1 Geology? - ?483 Soil Mechanics and Foundations? - ?483.1 Soils and Soil Mechanics? - ?731.3 Specific Variables Control? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?922.2 Mathematical Statistics

Numerical data indexing: Percentage 1.27e+00%, Percentage 1.49e+00%, Percentage 1.60e+00%, Percentage 1.61e+00%, Percentage 1.69e+00%, Percentage 1.75e+00%, Percentage 1.76e+00%, Percentage 2.29e+00%, Percentage 2.63e+00%, Percentage 2.81e+00%, Percentage 4.18e+00%, Percentage 6.79e+00%, Size 0.00e+00m to 2.00e+00m, Size 0.00e+00m to 3.00e-01m

DOI: 10.6041/j.issn.1000-1298.2021.01.030

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

4. Design and Test of Axial-flow Peanut Picking and Harvesting Machine

Accession number: 20210910003268

Title of translation:

Authors: Wang, Bokai (1, 2); Hu, Zhichao (1, 2); Cao, Mingzhu (1, 2); Zhang, Peng (1, 2); Yu, Zhaoyang (1, 2); Zhang, Chong (1, 2)

Author affiliation: (1) Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing; 210014, China; (2) Key Laboratory of Modern Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Nanjing; 210014, China

Corresponding author: Hu, Zhichao(zchu369@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 109-118 and 98

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problems of low picking-up rate, high pods loss rate and low productivity in the process of picking and harvesting peanuts with full feeding, an axial-flow peanut picking-up combine harvester was designed. The whole machine was driven by self-propelled chassis with supporting power of 120 kW. The picking speed, conveying speed, pods picking speed, cleaning frequency, cleaning fan speed and bucket lifting speed were controlled by chain and belt combined transmission. The machine was mainly composed of picking device, conveying device, pods picking device, cleaning device, chassis system, pods collecting device, etc. It could complete the tests of picking, conveying, pods vine separation, pods impurity cleaning, and pods collection in one time, which can reduce labor and cost. On the basis of analyzing the working principle of the whole machine, the structural design and parameter determination of the key parts were carried out. The collision energy model of separation process and the mechanical model of pod-handle separation were established by the principle of energy conservation. Based on this equation, quantitative analysis was carried out, and the main influencing factors were the elastic teeth speed, machine forward speed; and picked speed. The results showed that the significant order of picking-up rate was elastic teeth speed, machine forward speed and picked speed; the significant order of pods loss rate was elastic teeth speed, picked speed and machine forward speed; the significant order of productivity influence was machine forward speed, elastic teeth speed and picked speed; the optimal combination was 68 r/min for elastic teeth, 447 r/min for pods picking drum and 1.4 m/s for machine forward speed. The corresponding picking-up rate was 98.62%, the pods loss rate was 2.11% and the productivity was 0.61 hm2/h. The picking-up rate and productivity were 2.1 and 4.5 percentage points higher than that before, and the pods loss rate was 0.9 percentage poins lower than before. Comprehensive performance was obviously improved. It was worth noting that this test was based on the picking-up mechanism of axial peanut full feeding harvester, and the test object was only “Kainong 61”. It was suggested that the performance of different peanut varieties and harvesting equipment with different structures should be discussed in depth. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 26

Main heading: Speed

Controlled terms: Axial flow? - ?Chassis? - ?Cleaning? - ?Harvesters? - ?Harvesting? - ?Oilseeds? - ?Productivity? - ?Structural design

Uncontrolled terms: Cleaning frequencies? - ?Combine harvesters? - ?Comprehensive performance? - ?Different structure? - ?Harvesting machines? - ?Optimal combination? - ?Parameter determination? - ?Principle of energy conservation

Classification code: 408.1 Structural Design, General? - ?631.1 Fluid Flow, General? - ?662.4 Automobile and Smaller Vehicle Components? - ?802.3 Chemical Operations? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control

Numerical data indexing: Percentage 2.11e+00%, Percentage 9.86e+01%, Power 1.20e+05W, Rotational_Speed 4.47e+02RPM, Rotational_Speed 6.80e+01RPM, Velocity 1.40e+00m/s

DOI: 10.6041/j.issn.1000-1298.2021.01.012

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

5. Effects of Cycle Irrigation with Brackish and Fresh Water and Biochar on Water and Salt Transports of Coastal Saline Soil

Accession number: 20210910003392

Title of translation:

Authors: Huang, Mingyi (1); Zhang, Zhanyu (2); Xu, Hui (1); Zhai, Yaming (2); Wang, Ce (2); Zhu, Chengli (2)

Author affiliation: (1) College of Water Conservancy and Hydropower, Hohai University, Nanjing; 210098, China; (2) College of Agricultural Science and Engineering, Hohai University, Nanjing; 210098, China

Corresponding author: Zhang, Zhanyu(zhanyu@hhu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 238-247

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: For saline soil reclamation using brackish water in coastal areas, indoor infiltration tests were carried out to investigate the water and salt transport processes of coastal saline soil under different cycle irrigations with brackish and fresh water and biochar application. There were four cycle irrigation treatments, that was, continuous freshwater irrigation (fresh-fresh), began with freshwater irrigation then brackish water irrigation (fresh-brackish), began with brackish irrigation and then freshwater irrigation (brackish-fresh), continuous brackish water irrigation (brackish-brackish). The biochar application rates were 0 t/hm2, 15 t/hm2 and 30 t/hm2, respectively. According to the results, the water movement of coastal saline soil was mainly affected by the initial infiltration water quality. The cycle irrigation of brackish-fresh was more beneficial to soil water infiltration and increased the infiltration rate by 8.2%~46.9%. The cycle irrigation of brackish-fresh also slightly improved soil moisture content. Biochar promoted water infiltration under cycle irrigation with brackish and fresh water, and increased wetting front distance, accumulated infiltration amount, infiltration rate, and soil moisture content. Biochar application at 15 t/hm2 was most conducive to soil water transport, increasing the infiltration rate by 3.5%~22.0%. The soil salt content of fresh-brackish and brackish-fresh was lower than that of brackish-brackish, while the desalinization rate and depth coefficient were higher. The cycle irrigation of brackish-fresh increased the desalinization rate, and the cycle irrigation of fresh-brackish could increase the desalinization depth. The addition of biochar was beneficial to soil salt leaching under cycle irrigation, which increased the desalination rate and desalination depth coefficient by 9.1%~15.0% and 1.1%~7.5%, respectively. Biochar also increased the content of Ca2+ and Mg2+, which promoted Na+ leaching and mitigated the risk of brackish water irrigation. The effect of biochar on salt leaching was limited when the biochar application rate was increased to 30 t/hm2. The research result showed that 15 t/hm2 biochar combined with cycle irrigation with brackish and fresh water improved infiltration characteristics, water holding capacity, and salt distribution of coastal saline soil, which could provide references for the development and utilization of saline soil and brackish water in coastal regions. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 33

Main heading: Infiltration

Controlled terms: Coastal zones? - ?Desalination? - ?Irrigation? - ?Leaching? - ?Moisture determination? - ?Saline water? - ?Soil moisture? - ?Soil testing? - ?Water quality

Uncontrolled terms: Coastal saline soils? - ?Development and utilizations? - ?Indoor infiltration? - ?Infiltration characteristic? - ?Irrigation treatments? - ?Water and salt transports? - ?Water holding capacity? - ?Water infiltration

Classification code: 444 Water Resources? - ?445.1 Water Treatment Techniques? - ?445.2 Water Analysis? - ?471 Marine Science and Oceanography? - ?483.1 Soils and Soil Mechanics? - ?802.3 Chemical Operations? - ?821.3 Agricultural Methods? - ?944.2 Moisture Measurements

DOI: 10.6041/j.issn.1000-1298.2021.01.027

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

6. Design and Experiment of Plant Protection Opener Suspender Combination Device Based on Sturgeon Head Curve

Accession number: 20210910003391

Title of translation:

Authors: Sun, Wenfeng (1); Liu, Haiyang (1); Fu, Tianpeng (1); He, Yue (1); Wang, Runtao (2); Wang, Fulin (1)

Author affiliation: (1) College of Engineering, Northeast Agricultural University, Harbin; 150030, China; (2) School of Information Engineering, Lingnan Normal University, Zhanjiang; 524048, China

Corresponding author: Wang, Fulin(fulinwang1462@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 49-61

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problem of poor droplet deposition on the back of the stems and leaves and the middle and lower parts of the plants during plant protection operations in the middle and late stages of crop growth,the sturgeon head curve was used as a bionic prototype to design and test a plant protection bionic cropping and hanging rod combined pesticide application device. Based on the bionic construction to extract the head contour curve of the sturgeon,realize the bionics of the opener blade,analyze the damage reduction mechanism of the stem and leaf, and establish the mathematical model of the stem bending and rebound through theoretical analysis to determine the width of the opener blade and the distance between the nozzles. Key structural parameters such as the distance from the tail end of the opener blade were obtained. The ADAMS simulation software was used to simulate the whole process of the contact between the opener blade and the stems,and the effect of the bionic opener blade on reducing drag and injury compared with the prototype blades was tested. Through orthogonal rotating combination experiments,the influence degree and law of structure and working parameters on traveling resistance and droplet deposition degree were discussed,and the mathematical regression model was optimized by using ant colony algorithm to obtain the Pareto optimal solution set and determine the best parameter combination, which was as follows: the traveling speed was 7.0 km/h,the inclination angle was 16°, and the height was 155 mm from the ground. Under these parameter combination,the traveling resistance was 38.7 N,and the average droplet deposition degree was 31.5/cm2. The results were verified by field performance experiments,and the error between experiments and optimization was small; compared with the traditional method of pesticide application,the bionic plant protection opener and suspender combination device can significantly improve the deposition of fog droplets in the middle and lower parts of the plant,with a coefficient of variation of 5.3%; compared with the existing prototype the bionic opener device can increase the degree of droplet deposition by 13.6%,reduce the forward resistance by 20.7%,and had a smaller error between the trend of the movement resistance and the simulation result. This research provided design reference for the development of high-efficiency pesticide application technology for stems and leaves. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 40

Main heading: Plants (botany)

Controlled terms: Ant colony optimization? - ?Bionics? - ?Deposition? - ?Drops? - ?Pareto principle? - ?Pesticides? - ?Regression analysis? - ?Software testing

Uncontrolled terms: Ant colony algorithms? - ?Combination devices? - ?Inclination angles? - ?Parameter combination? - ?Pareto optimal solutions? - ?Pesticide applications? - ?Structural parameter? - ?Structure and working parameters

Classification code: 461.1 Biomedical Engineering? - ?723.5 Computer Applications? - ?802.3 Chemical Operations? - ?803 Chemical Agents and Basic Industrial Chemicals? - ?921.5 Optimization Techniques? - ?922.2 Mathematical Statistics

Numerical data indexing: Force 3.87e+01N, Percentage 1.36e+01%, Percentage 2.07e+01%, Size 1.55e-01m, Velocity 1.94e+00m/s

DOI: 10.6041/j.issn.1000-1298.2021.01.006

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

7. Improved Design and Experiment of Collector for Corn Whole Plastic Film Mulching on Double Ridges

Accession number: 20210910003470

Title of translation:

Authors: Wang, Jiuxin (1); Zhao, Wuyun (1); Liu, Xiaolong (1); Dai, Fei (1); Xin, Shanglong (1); Wu, Zhengwen (2)

Author affiliation: (1) College of Mechanical and Electrical Engineering, Gansu Agricultural University, Lanzhou; 730070, China; (2) Wuwei Xingwang Machinery Manufacturing Co., Ltd., Wuwei; 733018, 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: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 119-128

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the problem of poor profiling effect, easy congestion, stubble lifting, and unsatisfactory film unloading performance of the existing collector machine for corn whole plastic film mulching on double ridges, the improved design of film lifting, film rolling device and the transmission scheme of the machine were carried out. The film lifting device consisted of eight profiling film lifting monomers, slider, guide rail and pressure regulating spring, which can be profiled up and down with the terrain, and solved the problems of stubble lifting, congestion and impact vibration. The film rolling device was composed of main and subordinate moving cone-shaped film rolling roller, the auxiliary film rolling teeth and the linkage film unloading rotating arm. Among them, the film rolling roller was applied as the constant linear speed mechanism of friction transmission to ensure the uniform tightness of the film rolling. The auxiliary film rolling teeth were inserted on the main and subordinate moving film rolling roller by the fast insertion mechanism to realize the efficient winding of the residual film. The main and subordinate moving film rolling roller was designed as the cone-shaped structure to facilitate film unloading. The linkage film unloading rotating arm can ensure that the main and secondary cone-shaped roll were separated approximately in a straight line, which made the film unloading easier and faster. By analyzing the movement of eccentric telescopic elastic teeth, it was determined that the number of circumferential distribution of elastic teeth was 4. Taking the orthogonal test as the optimization design method, the recovery rate, winding rate and impurity content rate of the residual film as the evaluation index, the optimal working parameters of the prototype were obtained by using the comprehensive balance method, which was the forward speed of 3 km/h, the rotation speed of the eccentric retractable elastic tooth take-up drum was 60 r/min, and the rotation speed of the film roll was 90 r/min. The field test was carried out with the optimal working parameters. The test results showed that the recovery rate of the residual film of the machine was 89.46%, the wrapping rate was 1.93%, and the impurity rate was 25.53%. The result met the technical requirements of the collector for corn whole plastic film mulching on double ridges and can provide a reference for the design of the residual film recovery machine. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 33

Main heading: Design

Controlled terms: Plastic films? - ?Recovery? - ?Rollers (machine components)? - ?Transmissions? - ?Unloading? - ?Winding

Uncontrolled terms: Comprehensive balances? - ?Improved designs? - ?Insertion mechanism? - ?Optimization design? - ?Plastic film mulching? - ?Technical requirement? - ?Transmission schemes? - ?Working parameters

Classification code: 601.2 Machine Components? - ?602.2 Mechanical Transmissions? - ?691.2 Materials Handling Methods? - ?817.1 Polymer Products

Numerical data indexing: Percentage 1.93e+00%, Percentage 2.55e+01%, Percentage 8.95e+01%, Rotational_Speed 6.00e+01RPM, Rotational_Speed 9.00e+01RPM, Velocity 8.33e-01m/s

DOI: 10.6041/j.issn.1000-1298.2021.01.013

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

8. Effect of Plant Protection UAVs Downwash on Crop Canopy

Accession number: 20210910003436

Title of translation:

Authors: Tian, Zhiwei (1); Xue, Xinyu (1); Xu, Yang (1); Yang, Fengbo (1); Sun, Zhu (1)

Author affiliation: (1) Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing; 210014, China

Corresponding author: Xue, Xinyu(735178312@qq.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 40-48

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: During the spraying application of plant protection UAV, the rotor downwash will not only affect the droplet deposition, but also cause disturbance to the crop canopy. Revealing the characteristics of the canopy disturbing area is helpful to understand the application characteristics of the UAV, and can also provide a theoretical basis for optimizing the droplet deposition effect and the UAV spraying system. The effects of UAVs downwash on crop canopy were studied by the methods of aerial photography and machine vision technology. The results showed that there were significant differences in the characteristics of the crop canopy disturbing area caused by the single-rotor and multi-rotor UAVs downwash. Under a hovering situation the single-rotor UAV had a ring-shaped disturbing area with a large size, the multi-rotor UAV had a circular shape with a small size. Due to the influence of the asymmetrical structure of the UAV body, the disturbing area characteristics for the forward and backward movement attitudes of the single-rotor UAV were different. When advancing, this area was small and irregular, while moving backward it was large and distributed in a U-shape. Under the two flight modes, the multi-rotor UAV was basically the same in terms of size and shape of canopy disturbing area. Moreover, the flight speed had a significant effect on the characteristics of the canopy disturbing area. When UAV flying with a low speed, this area was more concentrated with a nearly circular distribution, and the plants were swung heavily; when operating with a high speed, the downwash was swept over crop canopy and the disturbing area was distributed in a strip shape, and the plants were swung lightly. As for the P20 plant protection UAV, when the flight speed was increased from 3 m/s to 6 m/s, the average lag distance of the canopy disturbing area was 1.77 m, 2.71 m, 3.61 m and 4.31 m, respectively. The lag distance of disturbing area was proportional to the flight speed of the UAV. In addition, the faster the speed was, the weaker the resistance of the downwash was to natural wind, which was not conducive to contain the droplets drift, and the position of the canopy disturbing area was unstable. Based on the research results, it was pointed out that plant protection UAV rotor downwash can only effectively promote the droplet penetration under the premise of the low operating speed and the overlap of the position for droplet deposition and canopy disturbing area. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Unmanned aerial vehicles (UAV)

Controlled terms: Aerial photography? - ?Antennas? - ?Crops? - ?Deposition? - ?Drops? - ?Speed? - ?Wakes

Uncontrolled terms: Asymmetrical structures? - ?Droplet deposition? - ?Forward and backward movement? - ?Machine vision technologies? - ?Operating speed? - ?Plant protection? - ?Research results? - ?Spraying system

Classification code: 631.1 Fluid Flow, General? - ?652.1 Aircraft, General? - ?742.1 Photography? - ?802.3 Chemical Operations? - ?821.4 Agricultural Products

Numerical data indexing: Size 1.77e+00m, Size 2.71e+00m, Size 3.61e+00m, Size 4.31e+00m, Velocity 3.00e+00m/s to 6.00e+00m/s

DOI: 10.6041/j.issn.1000-1298.2021.01.005

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

9. Response and Simulation of Farmland Water-Salt Transport and Growth of Crops to Deficit Drip Irrigation

Accession number: 20210910003440

Title of translation:

Authors: Bo, Liyuan (1, 2); Zhao, Yin (1, 2); Mao, Xiaomin (1, 2); Chen, Shuai (1, 2)

Author affiliation: (1) College of Water Resources and Civil Engineering, China Agricultural University, Beijing; 100083, China; (2) Wuwei Experimental Station for Efficient Water Use in Agriculture, Ministry of Agriculture and Rural Affairs, Wuwei; 733000, China

Corresponding author: Mao, Xiaomin(maoxiaomin@cau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 248-255 and 237

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The research was based on a developed model for farmland water-salt transport and crop growth (LAWSTAC). In order to explore the response of farmland water and salt transport and crop growth to deficient drip irrigation and test the applicability of LAWSTAC model in the northwest arid region, field experiment was carried out in the Wuwei Experimental Station for Efficient Water Use in Agriculture, Ministry of Agriculture and Rural Affairs in 2018. Three treatments were considered in the experiment, including three irrigation levels, i.e., 100%, 70% and 40% of full irrigation (i.e., W100, W70 and W40), respectively. The results showed that salinity in shallow (0~20 cm) soils was reduced after the irrigation during the seedling period of seed-maize production. For the whole growth period, the greater the irrigation amount was, the more obvious the phenomenon of desalination in upper layer and salt accumulation in deeper layer was. Larger irrigation generally resulted in higher plant leaf area index (LAI) and higher final above-ground biomass of the seed-maize under the three irrigation levels. The LAWSTAC model can well simulate the farmland water-salt transport and the growth of seed-maize. The values of determination coefficient (R2) of the simulated and measured LAI were 0.99,and the values of root mean square error (RMSE) were between 0.20 cm2/cm2 and 0.87 cm2/cm2. The values of R2 of the simulated and measured aboveground biomass were 0.99, and the values of RMSE were between 1.62 t/hm2 and 3.57 t/hm2. It was demonstrated that the LAWSTAC model can accurately simulate the dynamic changes of LAI and aboveground biomass of seed-maize. LAWSTAC model was validated for simulating soil water storage in 0~80 cm soil layer under different treatments with 0.4122 ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 34

Main heading: Farms

Controlled terms: Agricultural robots? - ?Biomass? - ?Crops? - ?Desalination? - ?Ecology? - ?Irrigation? - ?Mean square error? - ?Plants (botany)? - ?Soil moisture? - ?Soil testing ? - ?Water supply

Uncontrolled terms: Above ground biomass? - ?Agriculture and rural? - ?Determination coefficients? - ?Different treatments? - ?Experimental stations? - ?Root mean square errors? - ?Salt accumulations? - ?Water and salt transports

Classification code: 445.1 Water Treatment Techniques? - ?446.1 Water Supply Systems? - ?454.3 Ecology and Ecosystems? - ?483.1 Soils and Soil Mechanics? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?922.2 Mathematical Statistics

Numerical data indexing: Percentage 1.00e+02%, Percentage 4.00e+01%, Percentage 7.00e+01%, Size 0.00e+00m to 2.00e-01m, Size 0.00e+00m to 8.00e-01m

DOI: 10.6041/j.issn.1000-1298.2021.01.028

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

10. Regulation Model Research of Nutrient Solution Based on Support Vector Machine Regression

Accession number: 20210910003435

Title of translation:

Authors: Cui, Yongjie (1, 2); Wang, Minghui (1); Zhang, Xinyu (1); Ning, Pucai (1); Cui, Gongpei (1, 3); Wang, Qi (4)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling; 712100, China; (2) Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs, Yangling; 712100, China; (3) Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling; 712100, China; (4) Shaanxi Xutian Photoelectric Agricultural Technology Co., Ltd., Yangling; 712100, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 312-323

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming to struggle with the problem of low precision of nutrient solution dynamic deployment in protected cultivation. Based on support vector machine regression(SVR), a model for regulating nutrient solution was established. Firstly, the pH value, EC, K+ concentration, Ca2+ concentration and NO3- concentration of nutrient solution were collected under 13 temperatures and 50 groups of Knop nutrient solution ratio (A:99%Ca(NO3)2?4H2O, B:98%KNO3, C:99%KH2PO4, D:98%MgSO4?7H2O, E:99%EDTA-NaFe), and SVR was used to construct the index value prediction model. Then, the discrete slope method was used to calculate the discrete slope of the content response curve for nutrient solution detection index value and five compounds, and artificial fish swarm algorithm was used to obtain the maximum mutation point of discrete slope. Finally, the optimal regulation model of nutrient solution was constructed based on SVR with the amount of five compounds corresponding to the largest mutation feature site as the optimal control target value. The determination coefficients of the five compounds in the nutrient solution regulation model were 0.99, 0.98, 0.99, 0.96 and 0.99; the root mean square errors were 4.29 mg,7.39 mg,5.02 mg,2.85 mg and 3.96 mg. These results showed that the fitting effect was good. Compared with the control effect of stepwise regression method to obtain the target value, the average relative errors of the five compounds were reduced by 37.65%, 49.94%, 40.53%, 50.58% and 42.84%. In the validation test, compared with the stepwise regression method, the relative average errors of five compounds in the nutrient solution regulation model was reduced by 46.42%, 52.08%, 54.03%, 53.59% and 54.54%. The average reduction rates of the five compounds were 1.69%, 5.81%, 5.85%, 3.65% and 7.08%, respectively. The nutrient solution regulation model based on SVR had the characteristics of high efficiency and energy saving, which may provide a reference for the practical production and application of protected crop cultivation. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 28

Main heading: Support vector regression

Controlled terms: Calcium compounds? - ?Energy conservation? - ?Errors? - ?Genetic algorithms? - ?Magnesium compounds? - ?Mean square error? - ?Nutrients? - ?Potash? - ?Potassium Nitrate? - ?Predictive analytics ? - ?Support vector machines

Uncontrolled terms: Artificial fish swarm algorithms? - ?Average relative error? - ?Determination coefficients? - ?Practical production? - ?Root mean square errors? - ?Stepwise regression method? - ?Support vector machine regression (SVR)? - ?Support vector machine regressions

Classification code: 525.2 Energy Conservation? - ?723 Computer Software, Data Handling and Applications? - ?804.2 Inorganic Compounds? - ?922.2 Mathematical Statistics

Numerical data indexing: Mass 3.96e-06kg, Mass 4.29e-06kg, Percentage 1.69e+00%, Percentage 3.65e+00%, Percentage 3.76e+01%, Percentage 4.05e+01%, Percentage 4.28e+01%, Percentage 4.64e+01%, Percentage 4.99e+01%, Percentage 5.06e+01%, Percentage 5.21e+01%, Percentage 5.36e+01%, Percentage 5.40e+01%, Percentage 5.45e+01%, Percentage 5.81e+00%, Percentage 5.85e+00%, Percentage 7.08e+00%

DOI: 10.6041/j.issn.1000-1298.2021.01.035

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

11. Relationship between Change of Ecological Spatial Pattern and Land Surface Temperature in Beijing-Tianjin-Hebei Urban Agglomeration

Accession number: 20210910003272

Title of translation:

Authors: Wang, Ge (1); Yu, Qiang (1); Yang, Di (2); Zhao, Xiaoting (1); Zhao, Guifang (1); Yue, Depeng (1)

Author affiliation: (1) Beijing Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing; 100083, China; (2) Space Analysis Laboratory, University of Montana, Missoula; MT; 59808, United States

Corresponding author: Yu, Qiang(yuqiang@bjfu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 209-218

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Based on MODIS remote sensing data of Beijing-Tianjin-Hebei region, using landscape ecology and related principles of spatial econometrics, the pattern characteristics of ecological space and surface temperature in Beijing-Tianjin-Hebei region were discussed, Pearson correlation was used to explore the correlation between the two, and the spatial bivariate autocorrelation and spatial autocorrelation were used to explore the spatial correlation of the two. The results showed that the forest coverage in the central, northeast and southwest borders of Beijing-Tianjin-Hebei area was increasing, the cultivated land coverage in the northeast, southwest and east coastal areas was increasing, and some areas of Chengde City in the northwest and south, Baoding City, Shijiazhuang City, Xingtai City and Handan City were at risk of land exposure. The green space or blue space in July 2018 was extracted, and the spatial distribution of ecological space and surface temperature in various areas had significant spatial autocorrelation. Sample areas 5 and 7 were located in the north of Hebei Province. The proportion of forest landscape was higher, and the correlation and bivariate spatial autocorrelation were higher than that of other sample areas, which were related to landscape dominance and patch fragmentation. Due to the low proportion of ecological space between sample area 1 and sample area 4, the impact on LST was limited. The plant had a large impact on LST image, the proportion of sample area 7 was high, and the effect of ecological space patches and concentrated patches on surface temperature was obvious. The fitting effect of the spatial lag model and the spatial error model of sample areas 1 to 7 was much better than that of OLS. R2 of the spatial error model of each sample area was greater than that of the spatial lag model, and the spatial error model had stronger ability to interpret variables. The LIK value of the spatial error model of each sample area was larger, the value of AIC, SC and Moran’s I of the model residual were smaller, and the fitting effect of the spatial error model was better than that of the spatial lag model. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 27

Main heading: Land surface temperature

Controlled terms: Atmospheric temperature? - ?Autocorrelation? - ?Ecology? - ?Economics? - ?Errors? - ?Forestry? - ?Plants (botany)? - ?Remote sensing? - ?Spatial variables measurement? - ?Statistics ? - ?Surface properties

Uncontrolled terms: Beijing-tianjin-hebei regions? - ?Pattern characteristic? - ?Spatial autocorrelations? - ?Spatial correlations? - ?Spatial econometrics? - ?Spatial error models? - ?Surface temperatures? - ?Urban agglomerations

Classification code: 443.1 Atmospheric Properties? - ?454.3 Ecology and Ecosystems? - ?921 Mathematics? - ?922.2 Mathematical Statistics? - ?943.2 Mechanical Variables Measurements? - ?951 Materials Science? - ?971 Social Sciences

DOI: 10.6041/j.issn.1000-1298.2021.01.024

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

12. Mechanical Properties of Tire during Static Steering Based on Offset Steering Shaft

Accession number: 20210910003369

Title of translation:

Authors: Zhou, Fuyang (1); Guo, Kangquan (1); Li, Yan (1); Dang, Xiaoxuan (1)

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

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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 385-392 and 417

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The agricultural flexible chassis (FC) is a four wheel hub motor independent drive, four wheel omni-directional independent steering chassis. Its structure is very simple, even the steering motors used in the ordinary steer-by-wire system are cancelled. It steers through an offset steering shaft mechanism. It is very flexible and can realize special movements such as four-wheel steering, in-situ turning and lateral driving. When the vehicle body is stationary and the offset arm is not locked,the rotating electric wheel will steer around the offset steering shaft to switch the vehicle form for in-situ rotation or lateral driving. The study on tire mechanics performance of static steering based on offset steering shaft (SSBOSS) is the key and foundation for in-situ rotation and lateral driving control of FC. The tire patch kinematics was analyzed to study the longitudinal and lateral slip. Then, the existing tire longitudinal slip LuGre model was extended to the longitudinal slip-lateral slip combined SSBOSS LuGre model. The SSBOSS tire mechanical characteristics test device was designed. A two-factor test was used to test the effect of offset distance and load on the lateral and longitudinal friction of the tire. The parameters of LuGre tire model were identified based on the measured results, and the tire friction during the static form switching of the FC was simulated based on the identified results. The results showed that the measured and simulated results of the lateral and longitudinal frictional forces had a good consistency. The tire was subjected to a longitudinal frictional force that hindered rolling and a lateral frictional force that pointed to the outside during FC static form switching. And the magnitude of the longitudinal frictional force was proportional to the 1.82th power of the load and inversely proportional to the 1.61th power of the offset distance. And as the offset distance was increased,the lateral frictional force was firstly increased and then decreased,but the change was relatively flat. The research result can provide a basis for the estimation of the steering drive torque and the optimization of the device parameters for the FC. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 26

Main heading: Four wheel steering

Controlled terms: Agricultural robots? - ?Automobile steering equipment? - ?Chassis? - ?Electric switches? - ?Friction? - ?Lutetium compounds? - ?Mechanical properties? - ?Tires? - ?Wheels

Uncontrolled terms: Device parameters? - ?Frictional forces? - ?Mechanical characteristics? - ?Offset distances? - ?Research results? - ?Simulated results? - ?Steer-by-wire systems? - ?Wheel-hub motors

Classification code: 601.2 Machine Components? - ?662.4 Automobile and Smaller Vehicle Components? - ?818.5 Rubber Products? - ?951 Materials Science

DOI: 10.6041/j.issn.1000-1298.2021.01.043

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

13. Estimation Algorithm of Leaf Shape Parameters of Scirpus sibiricum Based on MRE-PointNet and Autoencoder Model

Accession number: 20210910003467

Title of translation: MRE-PointNet+AE

Authors: Wang, Haoyun (1); Xiao, Haihong (1); Ma, Shihang (2); Chen, Ling (1); Wang, Jiangbo (3); Xu, Huanliang (1)

Author affiliation: (1) College of Artificial Intelligence, Nanjing Agricultural University, Nanjing; 210095, China; (2) China Mobile Communications Group Shanghai Co., Shanghai; 200060, China; (3) College of Plant Sciences, Tarim University, Aral; 843300, China

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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 146-153

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to obtain the leaf shape parameters of plant leaves efficiently, accurately and automatically, a multi-resolution coded point cloud deep learning network (MRE-PointNet) and autoencoder model based on the Scirpus sibiricum leaf shape parameter estimation algorithm was proposed. The Kinect V2 camera was used to acquire the point cloud data of Scirpus sibiricum leaves in vertical attitude, and the data was pre-processed by straight-pass filtering, segmentation and point cloud simplification algorithm. The geometric model constructed with different parameter combinations was discretized into point cloud data and input into MRE-PointNet network to obtain the pre-training model of the geometric model shape parameter estimation. In order to solve the problem of partial occlusion and noise of the leaves in the filming process, an autoencoder network with secondary processing of the point cloud data was used to obtain the autoencoder pre-training model by taking the discrete point cloud data of the geometric model as input and encoding-decoding operation, which improved the robustness of the MRE-PointNet network in estimating the shape parameters of the occluded data. A total of 300 point clouds of Scirpus sibiricum leaves were collected. With the ratio of 2:1, totally 200 slices of point cloud data were used as the training set to fine-tune for model transfer to the pre-training model MRE-PointNet, and the remaining 100 slices of point cloud data were used as the test set. By the algorithm, the mathematical statistics and linear regression analysis were performed to compare the estimated and real values of the shape parameters. The experiment results showed that the estimated R2 and RMSE of leaf length were 0.900 5 and 0.417 0 cm, leaf width was 0.913 1 and 0.316 4 cm, and leaf area was 0.944 7 and 3.883 4 cm2, respectively, based on the MRE-PointNet and the self-training model. The encoder model algorithm for estimating the shape parameters of scirpus sibiricum leaves had high precision and practicality. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Parameter estimation

Controlled terms: Deep learning? - ?Geometry? - ?Learning systems? - ?Plants (botany)? - ?Signal encoding? - ?Statistics

Uncontrolled terms: Encoding-decoding? - ?Estimation algorithm? - ?Geometric modeling? - ?Parameter combination? - ?Partial occlusions? - ?Point cloud simplifications? - ?Secondary processing? - ?Shape parameter estimation

Classification code: 716.1 Information Theory and Signal Processing? - ?921 Mathematics? - ?922.2 Mathematical Statistics

DOI: 10.6041/j.issn.1000-1298.2021.01.016

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

14. Design and Test of Automatic Mixing and Control Device for Micro Sample in Raman Detection System

Accession number: 20210910003348

Title of translation:

Authors: Yan, Shuai (1); Li, Yongyu (1); Peng, Yankun (1); Han, Donghai (2); Liu, Yachao (1)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) College of Food Science and Nutritional Engineering, China Agricultural University, Beijing; 100083, China

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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 324-332

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: To improve the repeatability of surface enhanced Raman spectroscopy (SERS) and ensure the homogeneity of the mixed adsorption of surface enhanced metal nanoparticles and analytes, a hardware system for automatic mixing control of surface enhancer and micro liquid samples was developed to ensure the uniform mixing effect of each sample with the surface enhancer based on the self-built laboratory Raman point detection device. At the same time, the real-time control analysis software was compiled with G language to implement one-button operations of automatic mixing and sampling of trace liquid samples and surface enhancers, spectrum acquisition and data processing by the NI LabVIEW software development tool. Finally, the stability of Raman detection system with automatic mixing of surface enhancers and micro liquid samples was verified by testing nitrofurantoin veterinary drug residues in commercially available honey. Compared with Raman point detection system, the Raman spectrum detection system for automatic mixing of surface enhancer and micro liquid sample exhibited a more satisfactory result that the lowest variation coefficients of Raman characteristic peaks for nitrofurantoin and sulfamethoxypyridazine were 0.032 2 and 0.036 1, respectively. In addition, the linear regression models of nitrofurantoin and sulfamethoxypyridazine in honey were established. The optimal validation set determination coefficients were 0.961 9 and 0.979 0, and the root mean square errors were 0.672 3 mg/kg and 0.518 6 mg/kg, respectively. These findings demonstrated that the system studied could significantly enhance the stability of Raman spectra, and the obtained quantitative prediction models of veterinary drugs were accurate,and it can offer technical support for the rapid quantitative detection of liquid samples by surface enhanced Raman spectroscopy. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 20

Main heading: System stability

Controlled terms: Computer programming languages? - ?Controlled drug delivery? - ?Food products? - ?Light transmission? - ?Liquids? - ?Mean square error? - ?Metal nanoparticles? - ?Mixing? - ?Predictive analytics? - ?Raman scattering ? - ?Raman spectroscopy? - ?Real time control? - ?Regression analysis? - ?Software design

Uncontrolled terms: Determination coefficients? - ?Linear regression models? - ?Quantitative detection? - ?Quantitative prediction? - ?Root mean square errors? - ?Surface enhanced Raman spectroscopy? - ?Variation coefficient? - ?Veterinary drug residue

Classification code: 723 Computer Software, Data Handling and Applications? - ?731 Automatic Control Principles and Applications? - ?741.1 Light/Optics? - ?761 Nanotechnology? - ?802.3 Chemical Operations? - ?822.3 Food Products? - ?922.2 Mathematical Statistics? - ?961 Systems Science

DOI: 10.6041/j.issn.1000-1298.2021.01.036

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

15. Design and Parameter Optimization of Fresh Lotus Seeds Peeling Machine

Accession number: 20210910003475

Title of translation:

Authors: Xu, Xieqing (1); Ding, Weimin (1); Zhang, Wanli (1); Liu, Muhua (2)

Author affiliation: (1) College of Engineering, Nanjing Agricultural University, Nanjing; 210031, China; (2) College of Engineering, Jiangxi Agricultural University, Nanchang; 330045, China

Corresponding author: Ding, Weimin(wmding@njau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 338-349

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Lotus seed is a kind of nourishing food, which can be eaten and used medicinally. The fresh lotus seed is mainly composed of lotus shell, lotus kernel, lotus seed coat, lotus core, etc. The lotus shell is wrapped in the outside of the lotus kernel, and the lotus seed coat is tightly attached to the surface of the lotus kernel, while the lotus core grows in the inside of the lotus kernel. In order to improve the taste, the seed coat usually should be removed before eating due to the bitter astringent taste. However, the lotus seed coat is very difficult to be removed, and manual peeling is laborious. A fresh lotus seed peeling machine was designed based on water jet. To improve the operation performance of the machine, the operation parameters of the peeling machine were studied. The water jet pressure, water jet angle and the processing speed were chosen as the main factors, and the peeling rate, damage rate, with head rate, openside rate and drop rate were chosen as the main evaluation indicators. The three-factors and three-level response surface was designed by the Design-Expert software. The test results was showed as follow: considering the effect of peeling rate, damage rate and with head rate, the degree order of influence from big to small was water jet pressure, water jet angle and processing speed; considering the effect of openside rate, the degree order of influence from big to small was water jet angle, water jet pressure and processing speed, but the effect of processing speed on the openside rate was very small; these test factors had almost no effect on the drop rate, and the drop rate was almost 1%, which was perhaps caused by other unknown factors. The optimal operating parameters of the machine were as follows: the water jet pressure was 0.7 MPa, the water jet angle was 18°, and the pulley diameter was 68 mm. The predicted value was as follows: the peeling rate was 91.16%, the damage rate was 0.96%, the with head rate was 2.40%, and the openside rate was 0.04%. The machine was adjusted to the optimized parameters for verification tests, the peeling rate was 92.63%, the damage rate was 1.24%, the with head rate was 2.72%, and the openside rate was 0.21%. Comparing the above results, it can be seen that the absolute errors of the experiment results and theoretical optimization results were controlled within a relatively small range, which verified the rationality of the model and the optimized parameters, these work would provide a theoretical basis for the performance improvement of fresh lotus peeling machine. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Jets

Controlled terms: Drops

Uncontrolled terms: Evaluation indicators? - ?Operating parameters? - ?Operation parameters? - ?Operation performance? - ?Optimized parameter? - ?Parameter optimization? - ?Verification tests? - ?Water jet pressure

Classification code: 631.1 Fluid Flow, General

Numerical data indexing: Percentage 1.00e+00%, Percentage 1.24e+00%, Percentage 2.10e-01%, Percentage 2.40e+00%, Percentage 2.72e+00%, Percentage 4.00e-02%, Percentage 9.12e+01%, Percentage 9.26e+01%, Percentage 9.60e-01%, Pressure 7.00e+05Pa, Size 6.80e-02m

DOI: 10.6041/j.issn.1000-1298.2021.01.038

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

16. Experiment on Pine Pyrolysis Based on Semi-coke Catalyzed by La

Accession number: 20210910003452

Title of translation: La

Authors: Niu, Yonghong (1, 2); Zhang, Jun (1); Cai, Yaoyao (1); Wang, Wencai (2); Li, Yike (1); Yang, Zhanfeng (3)

Author affiliation: (1) School of Energy and Environment, Inner Mongolia University of Science and Technology, Baotou; 014010, China; (2) Mining Research Institute, Inner Mongolia University of Science and Technology, Baotou; 014010, China; (3) State Key Laboratory of Baiyunobo Rare Earth Resource Researches and Comprehensive Utilization, Baotou; 014030, China

Corresponding author: Wang, Wencai(wencai99999@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 286-293

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The pine pyrolysis semi-coke was used as the carrier, and the La-loaded semi-coke based catalyst was prepared by the impregnation method. The self-constructed two-stage pyrolysis furnace was used as the test platform to conduct the pine fuel rod catalytic pyrolysis test. The changes of three-phase products of biomass pyrolysis gas, tar, and coke with La-loaded semi-coke based catalysts at different reforming temperatures were studied. Through the change of gas composition, the change of FTIR spectrum of tar, and the characterization of SEM and XRD of the catalyst, the variation of temperature of La-loaded semi-coke based catalyst on the pyrolysis and reforming effect of biomass with temperature was discussed, and compared with the catalytic performance of catalyst-free and semi-coke as catalyst. The results showed that semi-coke based catalysts with a supported La content of 6% had better performance. When the catalytic reforming temperature was 800, the maximum yield of pine pyrolysis gas was 531 g/kg, and the lowest tar production was 90 g/kg after catalytic reforming with La-loaded semi-coke based catalyst. The H2 volume fraction was increased from 20.42% at 650 to 32.66% at 850. Compared with the conditions without catalyst and semi-coke catalyst, its H2 volume fraction at 800 was significantly higher than 16.77% without catalyst and 20.06% with semi-coke as catalyst. The amount of tar production was significantly reduced. After catalytic reforming, agglomeration of metal elements existed in the catalyst, and the active components La2O2CO3 and La were converted to La2O3. With the carbon and ash deposits blocking some pores on the catalyst surface, the catalytic activity was weakened. The results showed that La-loaded semi-coke based catalyst had good catalytic performance for pine pyrolysis. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 27

Main heading: Catalyst activity

Controlled terms: Catalytic reforming? - ?Coke? - ?Lanthanum? - ?Pyrolysis? - ?Tar? - ?Volume fraction

Uncontrolled terms: Active components? - ?Biomass pyrolysis? - ?Catalyst surfaces? - ?Catalytic performance? - ?Catalytic pyrolysis? - ?Impregnation methods? - ?Pyrolysis furnace? - ?Reforming temperatures

Classification code: 524 Solid Fuels? - ?547.2 Rare Earth Metals? - ?641.1 Thermodynamics? - ?802.2 Chemical Reactions? - ?804 Chemical Products Generally

Numerical data indexing: Percentage 1.68e+01%, Percentage 2.01e+01%, Percentage 2.04e+01%, Percentage 3.27e+01%, Percentage 6.00e+00%

DOI: 10.6041/j.issn.1000-1298.2021.01.032

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

17. Design and Test of Static Sliding Cut Angle Constant Cutting Machine for Chain Oil Sunflower Harvester Header

Accession number: 20210910003384

Title of translation:

Authors: Liu, Yang (1, 2); Huang, Xiaomao (1, 2); Ma, Lina (1, 2); Zong, Wangyuan (1, 2); Zhan, Guangchao (1, 2); Lin, Zixin (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: Zong, Wangyuan(zongwangyuan@mail.hzau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 99-108

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In view of the lack of suitable harvesting machinery for oil sunflower, the design and test of cutting machine for chain oil sunflower harvesting head were carried out. On the basis of expounding the structure and working principle of the cutter of chain oil sunflower cutting table, a rotary sawing blade was developed which had constant static slip angle and designed by using the mathematical equation of logarithmic helix, and the key structure and working parameters affecting the cutting performance were determined. The power consumption model of the sliding cutting process was analyzed to determine the selection range of the sliding cutting angle; the cutter’s track was analyzed, the speed range was defined. Based on the analysis of geometric cutting position of plant, the range of installation position of cutting knife was deduced. The result was obtained by single factor experiment under the condition that the slip angle was 50°~70°, the cutting speed was 750~1 050 r/min and the relative position was 100~300 mm, the cutting power consumption was low and grain loss rate was less. The regression equations of the relationship between rotational speed, slip angle, relative position, and real-time power consumption and overall grain loss rate were constructed by quadratic orthogonal rotation test. By solving the regression equation, the optimum parameters were obtained as follows: the slip angle was 61°, the rotational speed was 750 r/min and the relative distance was 180 mm. At this point, the corresponding minimum power consumption value was 64.08 W, and the grain loss rate was 1.24%. In order to verify the accuracy of optimal parameter combination, a bench test was carried out, experimental results showed that the actual cutting power consumption was 66.12 W, the actual drop loss rate was 1.28%, the absolute error between the actual value and the predicted value was less than 5%, and the cutter met the requirements of low loss cutting of oil sunflower. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 31

Main heading: Sunflower oil

Controlled terms: Cutting? - ?Cutting tools? - ?Electric power supplies to apparatus? - ?Electric power utilization? - ?Harvesters? - ?Machine design? - ?Structural design

Uncontrolled terms: Cutting performance? - ?Installation position? - ?Mathematical equations? - ?Optimal parameter combinations? - ?Power consumption model? - ?Quadratic orthogonal rotation? - ?Single-factor experiments? - ?Sliding cutting angles

Classification code: 408.1 Structural Design, General? - ?601 Mechanical Design? - ?603.2 Machine Tool Accessories? - ?706.1 Electric Power Systems? - ?804.1 Organic Compounds? - ?821.1 Agricultural Machinery and Equipment

Numerical data indexing: Percentage 1.24e+00%, Percentage 1.28e+00%, Percentage 5.00e+00%, Power 6.41e+01W, Power 6.61e+01W, Rotational_Speed 7.50e+02RPM to 1.05e+03RPM, Rotational_Speed 7.50e+02RPM, Size 1.00e-01m to 3.00e-01m, Size 1.80e-01m

DOI: 10.6041/j.issn.1000-1298.2021.01.011

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

18. Analysis of Thermal Conductivity and Temperature Variation Characteristics of Seasonal Snow in Northeast China

Accession number: 20210910003382

Title of translation:

Authors: Wang, Enliang (1, 2); Fu, Xiang (1); Han, Hongwei (1, 2); Xie, Fei (3); Zhuang, Feng (3)

Author affiliation: (1) School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin; 150030, China; (2) Heilongjiang Provincial Key Laboratory of Water Resources and Water Conservancy Engineering in Cold Region, Harbin; 150030, China; (3) State Key Laboratory of Coastal and Shore Engineering, Dalian University of Technology, Dalian; 116024, China

Corresponding author: Han, Hongwei(hanhongwei@neau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 275-285

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: As an important underlying surface, the thermal properties of snow are extremely important to the surrounding environment. Based on the snow temperature data under different densities (0.30 g/cm3, 0.35 g/cm3, 0.40 g/cm3 and 0.45 g/cm3) of natural snow in Northeast China, the variation characteristics of snow temperature were analyzed. At the same time, the variation law of the thermal conductivity of snow at different temperatures (-5, -10, -15, -20 and -25) and densities (0.35 g/cm3, 0.40 g/cm3, 0.45 g/cm3, 0.50 g/cm3, 0.55 g/cm3 and 0.60 g/cm3) was analyzed. The results showed that the thermal conductivity of snow was increased with the increase of density, and there was a great index correlation between them. And the response of the thermal conductivity of snow in temperature showed obvious difference under different densities. In the density range of 0.40~0.45 g/cm3, the thermal conductivity was increased with the increase of temperature; in the density range of 0.50~0.60 g/cm3 and the temperature range of -15~-25, the thermal conductivity of snow was increased with the decrease of temperature; during the temperature observation period, snow cover temperature was consistent with the change trend of air temperature, and both were less than 0. In different periods of the day, the surface of the snow layer appeared to the cold and warm center, and the temperature of the shallow 0~20 cm snow layer was changed dramatically. The variation range of snow temperature was gradually decreased with the increase of snow depth. There was a great negative index correlation between amplitude of snow temperature and snow depth. The time of reaching the extreme value of deep snow temperature was slightly lagged behind that of the surface snow layer about 4 h. In the same depth of the snow layer, the temperature was decreased with the increase of density. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 38

Main heading: Thermal conductivity

Controlled terms: Snow? - ?Snow melting systems

Uncontrolled terms: Different densities? - ?Surrounding environment? - ?Temperature data? - ?Temperature observations? - ?Temperature range? - ?Temperature variation? - ?Underlying surface? - ?Variation characteristics

Classification code: 443.3 Precipitation? - ?641.1 Thermodynamics

Numerical data indexing: Mass_Density 3.00e+02kg/m3, Mass_Density 3.50e+02kg/m3, Mass_Density 4.00e+02kg/m3, Mass_Density 4.00e+02kg/m3 to 4.50e+02kg/m3, Mass_Density 4.50e+02kg/m3, Mass_Density 5.00e+02kg/m3, Mass_Density 5.00e+02kg/m3 to 6.00e+02kg/m3, Mass_Density 5.50e+02kg/m3, Mass_Density 6.00e+02kg/m3, Size 0.00e+00m to 2.00e-01m, Time 1.44e+04s

DOI: 10.6041/j.issn.1000-1298.2021.01.031

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

19. Online Monitoring Method of Mechanized Soybean Harvest Quality Based on Machine Vision

Accession number: 20210910003408

Title of translation:

Authors: Chen, Man (1); Ni, Youliang (1); Jin, Chengqian (1); Xu, Jinshan (1); Zhang, Guangyue (1)

Author affiliation: (1) Nanjing Research Institute for Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing; 210014, China

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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 91-98

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the problem of lack of on-line monitoring device for the quality of soybean during mechanized harvesting, the methods of image acquisition, soybean component identification and quality monitoring for mechanized harvesting were presented based on machine vision. The improved watershed algorithm was used to segment the soybean image effectively, and the color spatial characteristic values of RGB and HSV were used to classify and identify the components of the soybean image. The image acquisition system can acquire a clear soybean image in real time, segment and identify each component of the soybean sample, and calculate the real-time crushing impurity rate of mechanized harvest. The quantitative evaluation model was constructed, and the accuracy of the algorithm was tested and field experiments were carried out. The results showed that the accuracy of whole soybean seeds was 87.26% and 86.17%, respectively. The accuracy of crushed soybean grains was 86.45%, and the recall rate was 79.42%. The detection rate of soybean impurities was 85.19% and 83.69% respectively. The results of quality and performance evaluation of grain combine harvester were consistent with that of manual inspection. The results showed that the proposed algorithm can quickly, efficiently and stably identify intact grains, broken grains and impurities, and the quantization model can accurately calculate the fraction of broken impurities. At the same time, the soybean image acquisition system designed can replace the manual detection, and became an effective method for the quality evaluation of soybean combine harvester. Additionally, it can provide real-time data of the crushing miscellaneous rate of soybean during mechanized harvesting, realize visual monitoring and alarm, and provide data support for parameter adjustment of intelligent combine harvester, so as to improve the quality of soybean mechanized harvesting. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 27

Main heading: Combines

Controlled terms: Computer vision? - ?Crushing? - ?Harvesters? - ?Harvesting? - ?Image acquisition? - ?Image enhancement? - ?Image segmentation? - ?Quality control

Uncontrolled terms: Component identification? - ?Image acquisition systems? - ?Mechanized harvesting? - ?On-line monitoring device? - ?On-line monitoring methods? - ?Parameter adjustments? - ?Quantitative evaluation models? - ?Spatial characteristics

Classification code: 723 Computer Software, Data Handling and Applications? - ?723.5 Computer Applications? - ?821.1 Agricultural Machinery and Equipment? - ?821.3 Agricultural Methods? - ?913.3 Quality Assurance and Control

Numerical data indexing: Percentage 7.94e+01%, Percentage 8.37e+01%, Percentage 8.52e+01%, Percentage 8.62e+01%, Percentage 8.65e+01%, Percentage 8.73e+01%

DOI: 10.6041/j.issn.1000-1298.2021.01.010

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

20. Identification Method of Rice Bacterial Leaf Streak Based on Random Forest

Accession number: 20210910003460

Title of translation: Random Forest

Authors: Yuan, Peisen (1); Cao, Yifei (2); Ma, Qianli (1); Wang, Haoyun (1); Xu, Huanliang (1)

Author affiliation: (1) College of Artificial Intelligence, Nanjing Agricultural University, Nanjing; 210095, China; (2) College of Engineering, Nanjing Agricultural University, Nanjing; 210031, China

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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 139-145 and 208

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: With the rapid development of rice phenotypic research, rice disease research has also made great progress as an important part of rice phenotypic research. In order to identify bacterial stripe disease quickly, accurately and effectively in the early stages of disease, a method for identifying bacterial stripe of rice based on a random forest algorithm was proposed. The spectral imaging technology was used to obtain hyperspectral data of the disease, and multiple noise correction was used to reduce and eliminate noise and the adverse effects of baseline drift on spectral data. Using the importance index of random forest characteristics, the logistic regression, naive Bayes, decision tree, support vector classifier, k-nearest neighbor and gradient boosting decision tree algorithms were selected for comparative test. At the same time, totally 12 spectral bands which were located in 450~664 nm had an important influence on the recognition model were screened out. The results of classification based on the whole band and the 12 important bands were compared. The experimental results showed that the classification accuracy of RF algorithm was 95.24% compared with other algorithms selected in the experiment, the accuracy was higher than that of NB algorithm by 20.97 percentage points. Compared with the whole band classification results, based on these 12 important bands, the number of bands was reduced by 98.05%, the recognition accuracy was 94.66%, the recall rate was 99.55%, the F1 value was 97.04%, and the accuracy rate was 94.32%. Although the accuracy was reduced by 2.97 percentage points, the accuracy rate was reduced by 0.85 percentage points, the recall rate was increased by 4.4 percentage points, the F1 value was increased by 0.67 percentage points, and the model accuracy was basically maintained. Although the accuracy was reduced, the model structure was more streamlined and the computational complexity was reduced. The research result showed that important bands can be used instead of full bands to identify rice bacterial streak disease, which provided new ideas for the identification method of rice bacterial streak disease. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 31

Main heading: Random forests

Controlled terms: Decision trees? - ?Hyperspectral imaging? - ?Logistic regression? - ?Nearest neighbor search? - ?Spectroscopy? - ?Support vector regression

Uncontrolled terms: Classification accuracy? - ?Classification results? - ?Decision-tree algorithm? - ?Identification method? - ?Random forest algorithm? - ?Recognition accuracy? - ?Spectral imaging technology? - ?Support vector classifiers

Classification code: 921.5 Optimization Techniques? - ?961 Systems Science

Numerical data indexing: Percentage 9.43e+01%, Percentage 9.47e+01%, Percentage 9.52e+01%, Percentage 9.70e+01%, Percentage 9.80e+01%, Percentage 9.95e+01%, Size 4.50e-07m to 6.64e-07m

DOI: 10.6041/j.issn.1000-1298.2021.01.015

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

21. Mechanism of Infrared Radiation on Dehydration of Carrot Slices

Accession number: 20210910003343

Title of translation:

Authors: Liu, Yuhui (1); Wang, Xiangyou (1); Wei, Zhongcai (1)

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

Corresponding author: Wang, Xiangyou(wxy@sdut.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 350-359

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The low field NMR (LF-NMR) was used to analyze the distribution and migration of free water, semilow water, and bound water to reveal the migration mechanism of different forms of water, the interaction between different forms of water and their mutual transformation relationship during the drying process of carrot. It was found that the free water in carrot was mainly removed in the early stage, and the combined water was mainly removed in the later stage in the process of drying. It was showed that there were life characteristics of cells involved in the early stage of carrot drying because a small amount of free water was converted into bound water. As it was expected, the bound water was changed to free water in the later stage of drying. When the scanning electron microscope (SEM) images were analyze, it was found that the infrared dried materials had smaller specific surface area, larger void size, lower void tortuosity, umbrella delivery structure, greater permeability, and stronger seepage capacity than those dried by hot air. Through the analysis of transmission electron microscopy (TEM) images, it was found that the spatial structure of the cells of the materials dried by infrared was more regular and orderly than that of the materials dried by hot air,and the cell membrane, vacuole membrane and membrane structures on other organelles were all disappeared, and the area occupied by organelles became smaller than it was at the beginning. Since the “embedded” bound water in organic matter was separated from the complex structure of biomacromolecules after obtaining infrared radiation energy, these biomacromolecules were broken into many small molecules after losing the bonds. The mechanism of dehydration of carrot slices, the migration law of various forms of water in carrot, and the law of mutual transformation between various kinds of water under the action of infrared radiation were deeply analyzed. The research result not only provided theoretical basis and ideas for the design and optimization of drying process, but also provided technical support for the development and improvement of infrared drying equipment. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 35

Main heading: Infrared drying

Controlled terms: Cytology? - ?Dehydration? - ?High resolution transmission electron microscopy? - ?Image analysis? - ?Infrared radiation? - ?Scanning electron microscopy

Uncontrolled terms: Biomacromolecules? - ?Complex structure? - ?Design and optimization? - ?Migration mechanisms? - ?Mutual transformations? - ?Spatial structure? - ?Technical support? - ?The scanning electron microscopes (SEM)

Classification code: 461.2 Biological Materials and Tissue Engineering? - ?741.1 Light/Optics? - ?741.3 Optical Devices and Systems? - ?802.2 Chemical Reactions

DOI: 10.6041/j.issn.1000-1298.2021.01.039

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

22. Enzymatic Hydrolysis Characteristics of Cellulose in AFEX Pretreated Corn Stover

Accession number: 20210910003241

Title of translation: AFEX

Authors: Li, Junbao (1); Lu, Minsheng (1); Zhang, Haiyan (1); Han, Lujia (1)

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

Corresponding author: Han, Lujia(hanlj@cau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 294-302

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to further explore the changes of free total phenols content and lignin exposure after AFEX pretreatment and their effects on enzymatic hydrolysis, AFEX pretreatment experiments were conducted on corn stover(CK)under two conditions: L-AFEX (1 g/g, 60% moisture content, 90, 5 min) and H-AFEX (1 g/g, 60% moisture content, 140, 15 min). The changes of lignocellulosic composition, content of free total phenols, and exposure of cellulose and lignin of CK, L-AFEX pretreated corn stover, and H-AFEX pretreated corn stover were systematically characterized, and their effects on enzymatic hydrolysis were analyzed. The results showed that L-AFEX and H-AFEX enhanced the glucose yield of enzymatic hydrolysis of corn stover to 37.57% and 74.74%, respectively. As the condition of AFEX pretreatment was increased, the content of cellulose and hemicellulose in corn stover remained unchanged, the content of acid soluble lignin was increased, the hydrophilicity of lignin was enhanced which might weaken the non-productive adsorption between lignin and cellulase during enzymatic hydrolysis, and more phenols were produced. The inhibition effects of the phenols produced during AFEX pretreatment on cellulase hydrolysis ability were significant (4.10% for L-AFEX and 10.40% for H-AFEX). Moreover, the enzymatic hydrolysis of H-AFEX-pretreated solid residue was inhibited (5.06%) by phenols. After AFEX pretreatment, the cell wall structure was destroyed, the enzyme-accessible surface area was increased, surface area of cellulose was increased from 316.08 m2/g (CK) to 430.97 m2/g (L-AFEX) and 422.27 m2/g (H-AFEX), surface area of lignin was decreased from 293.13 m2/g (CK) to 271.25 m2/g (L-AFEX) and 215.23 m2/g (H-AFEX), and the ratio of cellulose surface area to lignin surface area was increased from 1.08 (CK) to 1.59 (L-AFEX) and 1.96 (H-AFEX), which effectively reduced the steric hindrance of lignin and enhanced the enzymatic hydrolysis efficiency. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 37

Main heading: Enzymatic hydrolysis

Controlled terms: Cellulose derivatives? - ?Hydrophilicity? - ?Lignin? - ?Lignocellulosic biomass? - ?Moisture? - ?Moisture determination? - ?Phenols

Uncontrolled terms: Accessible surface areas? - ?Acid soluble lignin? - ?Cell wall structure? - ?Cellulase hydrolysis? - ?Cellulose and hemicellulose? - ?Cellulose surfaces? - ?Hydrolysis characteristic? - ?Inhibition effect

Classification code: 804.1 Organic Compounds? - ?811.3 Cellulose, Lignin and Derivatives? - ?944.2 Moisture Measurements

Numerical data indexing: Percentage 1.04e+01%, Percentage 3.76e+01%, Percentage 4.10e+00%, Percentage 5.06e+00%, Percentage 6.00e+01%, Percentage 7.47e+01%, Time 3.00e+02s, Time 9.00e+02s

DOI: 10.6041/j.issn.1000-1298.2021.01.033

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

23. Design and Experiment of Orchard Double Row Ditching-fertilizer Machine with Automatic Depth Adjustment

Accession number: 20210910003305

Title of translation:

Authors: Zhang, Hongjian (1, 2); Xu, Chunbao (1); Liu, Shuangxi (1, 3); Jiang, Hao (1); Zhang, Chengfu (4); Wang, Jinxing (1, 3)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai’an; 271018, China; (2) Shandong Provincial Engineering Laboratory of Agricultural Equipment Intelligence, Tai’an; 271018, China; (3) Shandong Provincial Key Laboratory of Horticultural Machinery and Equipment, Tai’an; 271018, China; (4) Gaomi City Yifeng Machinery Co., Ltd., Gaomi; 261500, China

Corresponding author: Wang, Jinxing(jinxingw@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 62-72

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Fertilization is the key link in fruit production. The quality of fertilization directly affects the nutrient absorption of fruit trees. Rational fertilization is an important measure to ensure the high yield, stable yield and increased yield of fruit trees. In China, orchard ditching fertilization mainly depends on manual work, which is of high intensity, low efficiency and low standard. Mechanized ditching fertilization is the key to solve this problem, and it is also the future development trend of orchard in China. Aiming at the problems of low fertilization efficiency and poor consistency of orchard ditching fertilizer machine, and the difficulty of mixed application of organic fertilizer and chemical fertilizer, a orchard double row ditching-fertilizer machine with automatic adjustment of ditching depth was designed. The working mode of double row ditching and fertilization was adopted, which can complete the ditching of fruit trees, the mixed application of organic fertilizer and chemical fertilizer, and the integrated operation of covering soil at one time. Through theoretical analysis and design of key components, such as ditching device, fertilization device and ditching depth automatic adjustment device, a core control system based on STM32F103 was built to realize the automatic adjustment of ditching depth. Performance and field tests showed that all working parts of the ditching-fertilizer machine operated stably, the ditching depth was highly consistent, and the stability coefficient of ditching depth was not less than 94.76%; the distribution of various fertilizer particles was uniform, the distribution stability coefficient of organic fertilizer was not less than 91.44%, the distribution stability coefficient of chemical fertilizer was not less than 92.09%, the distribution stability coefficient of mixed fertilizer was not less than 93.70%, and the evaluation index met the requirements of orchard production. The research results provided scientific reference for the design of orchard ditching-fertilizer machine, and it was of great significance to the mechanized production of fruit industry. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 29

Main heading: Fertilizers

Controlled terms: Chemical stability? - ?Efficiency? - ?Forestry? - ?Fruits? - ?Orchards

Uncontrolled terms: Automatic adjustment? - ?Chemical fertilizers? - ?Development trends? - ?Integrated Operations? - ?Nutrient absorption? - ?Organic fertilizers? - ?Scientific references? - ?Stability coefficient

Classification code: 801 Chemistry? - ?804 Chemical Products Generally? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?913.1 Production Engineering

Numerical data indexing: Percentage 9.14e+01%, Percentage 9.21e+01%, Percentage 9.37e+01%

DOI: 10.6041/j.issn.1000-1298.2021.01.007

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

24. Super-resolution Reconstruction of DEM in Mountain Area Based on Deep Residual Network

Accession number: 20210910003426

Title of translation: DEM

Authors: Zhang, Hongming (1); Quan, Kai (1); Yang, Ya’nan (1); Yang, Jiangtao (2); Chen, Huan (1); Guo, Weiling (3)

Author affiliation: (1) College of Information Engineering, Northwest A&F University, Yangling; 712100, China; (2) College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling; 712100, China; (3) School of Geomatics, Anhui University of Science and Technology, Huainan; 232001, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 178-184

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: High-resolution digital elevation model(DEM) in large districts is difficult to be acquired due to the limitation of cost and technology. Usually, it can be obtained by super-resolution reconstruction(downscale) from low-resolution DEM. However, the accuracy of the DEM generated by conventional downscale methods is insufficient. With the development of image downscale, convolutional neural network(CNN) has achieved success. To improve DEM accuracy, a very deep convolutional networks super-resolution method(VDSR)was designed to reconstruct the terrace DEM with obvious undulation characteristics. The deep neural network was used to learn nonlinear mapping between high-resolution DEM and low-resolution DEM, at the same time, residual learning method were used to reduce training difficulty. In order to compare, bicubic interpolation method, sparse mixed estimation method and VDSR method were used to reconstruct the DEM and slope. The slope data were extracted from the DEM results. The mean value of DEM difference of three methods were 0.41 m, 0.34 m and 0.34 m, respectively. The RMSE of DEM were 0.594 5 m, 0.571 5 m and 0.486 9 m, respectively. The mean value of slope difference of three methods were 3.02°, 2.04° and 1.99°, respectively. The RMSE of slope were 3.649 8°, 3.136 0° and 2.738 7°, respectively. The running time were 0.052 s, 663.39 s and 2.16 s, respectively. By comprehensive comparison, for 10 m, 20 m and 40 m DEM, the result showed that VDSR method had great advantage in spatial distribution, error and running time, and it was suitable for super-resolution reconstruction in areas with complex terrain such as terrace. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 35

Main heading: Surveying

Controlled terms: Convolution? - ?Convolutional neural networks? - ?Deep neural networks? - ?Forestry? - ?Learning systems? - ?Optical resolving power

Uncontrolled terms: Bicubic interpolation? - ?Comprehensive comparisons? - ?Convolutional networks? - ?Digital elevation model? - ?Estimation methods? - ?High-resolution DEM? - ?Super resolution reconstruction? - ?Superresolution methods

Classification code: 405.3 Surveying? - ?716.1 Information Theory and Signal Processing? - ?741.1 Light/Optics

Numerical data indexing: Size 1.00e+01m, Size 2.00e+01m, Size 3.40e-01m, Size 4.00e+01m, Size 4.10e-01m, Time 2.16e+00s, Time 5.20e-02s, Time 6.63e+02s

DOI: 10.6041/j.issn.1000-1298.2021.01.020

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

25. Effects of Irrigation and Drainage Modes on Crop Water Footprint in Rice Production

Accession number: 20210910003239

Title of translation:

Authors: Wu, Mengyang (1); Cao, Xinchun (1); Ren, Jie (1)

Author affiliation: (1) College of Agricultural Science and Engineering, Hohai University, Nanjing; 210098, China

Corresponding author: Cao, Xinchun(caoxinchun@hhu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 256-262

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Water footprint quantifies water resource consumption and nitrogen emission simultaneously during crop growth and provides a new method for irrigation and drainage modes evaluation in paddy rice field. Experiments were conducted during two consecutive years (2017 and 2018). Paddy rice was grown under four irrigation and drainage modes in microplots at the same location in each year. These treatments were frequent and shallow irrigation (FSI), wet-shallow irrigation (WSI), controlled irrigation (CI) and rain-catching and controlled irrigation (RC-CI). The general objectives were to calculate and analyze crop water footprint indicators, evaluate effect of modes on these indicators and choose efficient mode. The effect of the treatments on blue water footprint, green water footprint, grey water footprint, crop water footprint (WF) and its composition, and water footprint of production (WFP) was evaluated. These indicators were apparently different. WF of all treatments was within 846.3~1 132.3 mm. WF of RC-CI treatment was the smallest while annual WF of FSI treatment was the largest. The average annual WFP were 1.26 m3/kg (FSI), 1.18 m3/kg (WSI), 1.08 m3/kg (RC-CI) and 1.06 m3/kg(CI), respectively. The percentage of blue, green and grey WF were 10.9%~22.3%, 28.8%~44.1% and 39.4%~55.0%, respectively. The percentage of blue WF was the largest for FSI treatment and that of green WF was superior for RC-CI treatment. RC-CI treatment reduced WF and opportunity cost. Besides, WFP of CI treatment and RC-CI treatment was close and relatively small. On the whole, RC-CI should be adopted to save water and reduce pollution caused by nitrogen emission. The research result can provide references for the selection of efficient rice irrigation and drainage mode and the formulation of agricultural water-saving strategies. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 30

Main heading: Water pollution

Controlled terms: Agricultural robots? - ?Crops? - ?Irrigation? - ?Water conservation? - ?Water resources

Uncontrolled terms: Agricultural water? - ?Controlled irrigations? - ?Nitrogen emissions? - ?Opportunity costs? - ?Paddy rice fields? - ?Research results? - ?Resource consumption? - ?Rice production

Classification code: 444 Water Resources? - ?453 Water Pollution? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products

Numerical data indexing: Size 1.32e-01m, Specific_Volume 1.18e+00m3/kg, Specific_Volume 1.26e+00m3/kg

DOI: 10.6041/j.issn.1000-1298.2021.01.029

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

26. Design and Application of Three-pulley Noncircular Synchronous Belt Transmission Test Rig

Accession number: 20210910003453

Title of translation:

Authors: Sun, Xincheng (1, 2); Chen, Jianneng (1, 3); Wu, Chuanyu (1, 3); Xiao, Dadu (1); Ye, Jun (1, 2)

Author affiliation: (1) Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou; 310018, China; (2) College of Automotive, Zhejiang Industry Polytechnic College, Shaoxing; 312000, China; (3) Key Laboratory of Transplanting Equipment and Technology of Zhejiang Province, Hangzhou; 310018, China

Corresponding author: Chen, Jianneng(jiannengchen@zstu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 73-81

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to test the transmission performance of the three-pulley noncircular synchronous belt transmission mechanism and obtain its transmission accuracy, a three-pulley noncircular synchronous belt transmission performance test bench was designed and tested. The three-pulley noncircular synchronous belt transmission test bench was mainly controlled by an industrial computer and stepper motors. It can realize the functions of adjustable speed, load and center distance, real-time display, collection, statistics and analysis of test data. Two indexes of transmission cycle deviation rate and transmission ratio accuracy deviation rate were defined, which were used to measure the transmission performance of the three-pulley noncircular synchronous belt. It was found through experiments that the test bench can realize three-pulley noncircular synchronous belt transmission test under different working conditions, and the size of load and speed affected the transmission ratio accuracy deviation rate and transmission cycle deviation rate, and had more influence on the transmission cycle deviation rate. When the speed was in the range of 0~300 r/min and the torque was in the range of 0~50 N?m, the test drive-driven wheel transmission ratio was basically consistent with the theoretical drive ratio; the drive-driven wheel transmission cycle deviation rate was 0.80%~4.80%. The accuracy deviation rate of the driving ratio between the main and driven wheels was between 0.18% and 1.23%; when the speed was 80 r/min and the load torque was 16.25 N?m, the accuracy deviation rate of the transmission ratio was 0.18%, and the transmission cycle deviation rate was 0.80%, which was the best transmission condition within the test range. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 24

Main heading: Transmissions

Controlled terms: Belts? - ?Digital storage? - ?Pulleys? - ?Stepping motors? - ?Wheels

Uncontrolled terms: Design and application? - ?Industrial computers? - ?Statistics and analysis? - ?Synchronous belt transmission? - ?Transmission conditions? - ?Transmission cycles? - ?Transmission performance? - ?Transmission ratios

Classification code: 601.2 Machine Components? - ?602.1 Mechanical Drives? - ?602.2 Mechanical Transmissions? - ?691.1 Materials Handling Equipment? - ?705.3 Electric Motors? - ?722.1 Data Storage, Equipment and Techniques

Numerical data indexing: Percentage 1.80e-01%, Percentage 8.00e-01%, Rotational_Speed 0.00e+00RPM to 3.00e+02RPM, Rotational_Speed 8.00e+01RPM, Torque 0.00e+00N*m to 5.00e+01N*m, Torque 1.62e+01N*m

DOI: 10.6041/j.issn.1000-1298.2021.01.008

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

27. Dynamic Modeling and Vibration Simulation of Spatial Flexible Closed-chain Robot

Accession number: 20210910003266

Title of translation:

Authors: Zhang, Qingyun (1); Zhao, Xinhua (1, 2); Liu, Liang (2); Dai, Tengda (2)

Author affiliation: (1) School of Computer Science and Engineering, Tianjin University of Technology, Tianjin; 300384, China; (2) Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, Tianjin University of Technology, Tianjin; 300384, China

Corresponding author: Liu, Liang(liuliang_tjut@tjut.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 401-409

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The elastic deformation of the flexible link in the spatial closed-chain robot under high-speed operation has an important impact on the vibration effect of the system. In order to accurately analyze the influence of the flexible link on the vibration characteristics of the spatial flexible closed-chain parallel robot, the finite element method was used to discretize the flexible link, and then the component displacement vector was described by the floating frame reference method. Finally, the spatial rigid-flexible coupling closed-chain robot was established based on the Lagrange equations dynamic model and vibration equation, and the system natural frequency and vibration mode function were analyzed. Based on the same parameter conditions, the ADAMS/Vibration module was used to establish the vibration simulation model of the spatial rigid-flexible coupling closed-chain robot, and the self-excited vibration analysis was carried out to study the change of the system natural frequency and the corresponding modal, as well as the different excitations frequency response characteristics under force. The results showed that themotion trajectories of the end-effector of the theoretical and the simulation model were basically the same, and they were also consistent with the natural frequencies of the vibration simulation model, which verified the correctness of the simulation model. As the amplitude of the excitation force increased, the system response was increased. Corresponding to the same excitation frequency, the Y-direction response at the center of mass of the moving platform was the strongest, followed by the X-direction, and the Z-direction was the smallest. Among them, the system corresponding to the 11th to 12th modes had the largest deformation, and the corresponding excitation frequency was 40~60 Hz. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 26

Main heading: Vibration analysis

Controlled terms: Equations of motion? - ?Flexible couplings? - ?Flexible manipulators? - ?Frequency response? - ?Natural frequencies? - ?Robots

Uncontrolled terms: Displacement vectors? - ?Frequency response characteristic? - ?High-speed operation? - ?Parameter conditions? - ?Rigid flexible coupling? - ?Self-excited vibrations? - ?Vibration characteristics? - ?Vibration simulation

Classification code: 602.2 Mechanical Transmissions? - ?731.5 Robotics? - ?921.2 Calculus

Numerical data indexing: Frequency 4.00e+01Hz to 6.00e+01Hz

DOI: 10.6041/j.issn.1000-1298.2021.01.045

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

28. Path Recognition of Orchard Visual Navigation Based on U-Net

Accession number: 20210910003403

Title of translation: U-Net

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

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

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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 30-39

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the visual navigation system works in the orchard environment, a visual navigation method based on U-Net for path recognition was proposed. Labelme was used to label the road mask in the collected images and made the orchard dataset. Based on data enhancement, the convolutional neural network was trained to obtain the orchard road segmentation model which could identify the road region. The road segmentation mask was used to get navigation information and generate keypoints for path fitting. Using the midpoints as control points, the navigation path was recognized by multi-segment cubic B-spline curve fitting method. Experiments of semantic segmentation and path recognition were carried out respectively, when the critical threshold is 0.4, the results showed that IoU of semantic segmentation model in weak light, ordinary light, and strong light was 89.52%, 86.45% and 86.16%, respectively. The method of edge information extraction and path recognition could adapt to various visual angles of the road mask and get a smooth navigation path. Under different illumination and visual angle conditions, the average pixel error was 9.5 pixel, and the average distance error was 0.044 m. It was known that the width of the road was about 3.1 m, so the average distance error ratio was 1.4%. The normal speed of the tracked vehicle in the orchard was mostly 0~1.4 m/s, and the average processing time of a single field image was 0.154 s. Under the current orchard environment and hardware configuration, it was proved that this method had a good performance in accuracy and real-time. This research can provide an effective reference for visual navigation task in the orchard environment. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 20

Main heading: Orchards

Controlled terms: Convolutional neural networks? - ?Curve fitting? - ?Errors? - ?Image registration? - ?Navigation systems? - ?Pixels? - ?Roads and streets? - ?Semantics? - ?Tracked vehicles

Uncontrolled terms: Critical threshold? - ?Cubic b-spline curves? - ?Hardware configurations? - ?Navigation in formation? - ?Road segmentation? - ?Semantic segmentation? - ?Visual Navigation? - ?Visual navigation systems

Classification code: 406.2 Roads and Streets? - ?663 Buses, Tractors and Trucks? - ?723.2 Data Processing and Image Processing? - ?821.3 Agricultural Methods? - ?921.6 Numerical Methods

Numerical data indexing: Percentage 1.40e+00%, Percentage 8.62e+01%, Percentage 8.65e+01%, Percentage 8.95e+01%, Size 3.10e+00m, Size 4.40e-02m, Time 1.54e-01s, Velocity 0.00e+00m/s to 1.40e+00m/s

DOI: 10.6041/j.issn.1000-1298.2021.01.004

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

29. Named Entity Recognition of Chinese Agricultural Text Based on Attention Mechanism

Accession number: 20210910003308

Title of translation:

Authors: Zhao, Pengfei (1); Zhao, Chunjiang (1, 2); Wu, Huarui (2, 3); Wang, Wei (2, 3)

Author affiliation: (1) College of Engineering, Shanxi Agricultural University, Taigu; 030801, China; (2) National Engineering Research Center for Information Technology in Agriculture, Beijing; 100097, China; (3) Beijing Research Center for Information Technology in Agriculture, Beijing; 100097, China

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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 185-192

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Agricultural named entity recognition is a fundamental tasks for natural language processing in the agricultural field. More importantly, it is the key basic step of constructing agricultural knowledge graph and intelligent question answering system. Traditional named entity recognition (NER) methods based on CRF model which relies on large amounts of hand-crafted features, cannot extract more effective features and solve the inconsistency of entity tagging caused by the diversity of entity names. To issue the above problems, an Att-BiLSTM-CRF framework was proposed based on deep learning. Firstly, the CBOW model was used to pre-train character embedding on a large number of unlabeled agricultural corpora, and alleviate the impact of segmentation accuracy on the performance of the model. Then, the document-level attention mechanism was introduced to obtain the similar information between entities in the text, so as to ensure the consistency of entity tagging in different contexts. Finally, based on BiLSTM-CRF benchmark model, a model framework suitable for agricultural named entity recognition was constructed. Totally 4 604 agricultural texts were chosen to identify diseases, pests, pesticides and crop varieties. The experimental results showed that the model can effectively identify the entities in the agricultural text and alleviate the problem of inconsistent entity tagging. The model achieved good result in the agricultural corpus, and the recognition precision, recall, and F-score were respectively 93.48%, 90.60% and 92.01%. Compared with other models,such as LSTM model,LSTM-CRF model and BiLSTM-CRF model,Att-BiLSTM-CRF had obvious advantages in different size corpus, and it can effectively identify entities for agricultural texts. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 31

Main heading: Long short-term memory

Controlled terms: Agricultural robots? - ?Agriculture? - ?Character recognition? - ?Deep learning? - ?Knowledge representation? - ?Linguistics? - ?Natural language processing systems

Uncontrolled terms: Agricultural fields? - ?Attention mechanisms? - ?Benchmark models? - ?Intelligent question answering systems? - ?Knowledge graphs? - ?Named entity recognition? - ?NAtural language processing? - ?Segmentation accuracy

Classification code: 723.2 Data Processing and Image Processing? - ?723.4 Artificial Intelligence? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control

Numerical data indexing: Percentage 9.06e+01%, Percentage 9.20e+01%, Percentage 9.35e+01%

DOI: 10.6041/j.issn.1000-1298.2021.01.021

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

30. Recognition of Aggressive Behaviour in Group-housed Pigs Based on ALR-GMM

Accession number: 20210910003270

Title of translation: ALR-GMM

Authors: Liu, Dong (1, 2); He, Dongjian (1, 3); Chen, Chen (2, 4); Steibel, Juan (5); Siegford, Janice (5); Norton, Tomas (2)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling; 712100, China; (2) M3-BIORES Laboratory, Catholic University of Leuven, Heverlee; B-3001, Belgium; (3) Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs, Yangling; 712100, China; (4) School of Electrical and Information Engineering, Jiangsu University, Zhenjiang; 212013, China; (5) Department of Animal Science, Michigan State University, East Lansing; MI; 48824, United States

Corresponding author: He, Dongjian(hdj168@nwsuaf.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 201-208

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The activity index has been widely used as an important indicator to quantify the behavior response of livestock animals to their micro-environment. The variety of breeding facilities and dynamic backgrounds brings challenges to precisely monitor this indicator by the approach based on background subtraction. Aiming to extract the activity index under the dynamic background, a novel approach based on the Gaussian mixture model was proposed, in which the hyperbolic tangent function was introduced to regulate the learning rate parameter (ALR-GMM). In each iteration, through an adaptive learning rate regulation mechanism, the ALR-GMM can describe the image background and detect the moving pixels synchronously. The algorithm was evaluated on the manually labeled image. Compared with the calculation methods based on the background subtraction and the classical GMM methods, the mean relative errors were reduced by 0.74 percentage points and 3.74 percentage points, respectively. In order to further verify the feasibility, the proposed algorithm was applied to recognize aggressive behavior of group-housed pigs. The original video was divided into 3 s episode units. In each video unit, the maximum, mean, variance and standard deviation of the activity index were taken as the feature vector. The behavior classifier was established by the linear kernel SVM. The results showed that the accuracy, sensitivity, specificity and precision were 97.6%, 97.9%, 97.7% and 97.8%, respectively, which met the requirements of practical application. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Behavioral research

Controlled terms: Agriculture? - ?Gaussian distribution? - ?Hyperbolic functions? - ?Iterative methods? - ?Mammals

Uncontrolled terms: Adaptive learning rates? - ?Background subtraction? - ?Dynamic background? - ?Gaussian Mixture Model? - ?Hyperbolic tangent function? - ?Mean relative error? - ?Regulation mechanisms? - ?Standard deviation

Classification code: 821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?921 Mathematics? - ?921.6 Numerical Methods? - ?922.1 Probability Theory? - ?971 Social Sciences

Numerical data indexing: Percentage 9.76e+01%, Percentage 9.77e+01%, Percentage 9.78e+01%, Percentage 9.79e+01%, Time 3.00e+00s

DOI: 10.6041/j.issn.1000-1298.2021.01.023

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

31. Effect of Protein and Sucrose Ester Interfacial Interaction on Destabilization of Fat Globules at Low Temperatures in Ice Cream Emulsions

Accession number: 20210910003280

Title of translation: /

Authors: Cheng, Jinju (1); Yan, Tingsheng (2); Dudu, O.E. (3); Zhang, Jingjing (1); Li, Aili (1); Yu, Dianyu (1)

Author affiliation: (1) Key Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin; 150030, China; (2) College of Life Science, Northeast Agricultural University, Harbin; 150030, China; (3) Department of Chemistry and Food Sciences, Bells University of Technology, 1015, Nigeria

Corresponding author: Yu, Dianyu(dyyu2000@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 367-374

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Milk protein and soy protein isolate with different compositions and structure were used to prepare ice cream emulsions. The effect of sucrose concentration on the destabilization of fat globules at low temperatures in these two protein-stabilized emulsion systems was studied. Parameters such as Fourier transform infrared spectroscopy (FTIR) measurement of protein/sucrose ester complex, protein surface coverage, zeta potential, particle size and microstructure of whipped-frozen emulsion were analyzed. Furthermore, with the optimal concentration of sucrose ester, the effect of protein compositions on the destabilization of fat globules and ice cream properties were studied by partially substituting milk protein with different ratios of soy protein isolate. The results indicated that the interaction between sucrose ester and milk protein or soy protein isolate on the fat globule surface involved complexation and competitive adsorption. When the sucrose ester concentration was increased from 0 to 0.3%, the interaction between protein and sucrose ester on the surface of fat globule was mainly dominated by competitive adsorption. At this sucrose ester concentration, the surface protein coverage in the two protein-stabilized ice cream emulsion systems was significantly reduced. The partial coalescence degree of fat globules was relatively high. The ratio of milk protein to soy protein isolate was adjusted while sucrose ester mass fraction was kept at 0.3%. Ice cream showed higher overrun values and the best melting resistance ability when the ratio of milk protein to soy protein isolates was at 7:3, which was more favored to the occurrence of partial coalescence. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 29

Main heading: Proteins

Controlled terms: Coalescence? - ?Dairies? - ?Emulsification? - ?Esters? - ?Fourier transform infrared spectroscopy? - ?Ostwald ripening? - ?Particle size? - ?Sugar (sucrose)

Uncontrolled terms: Competitive adsorption? - ?Interfacial interaction? - ?Optimal concentration? - ?Partial coalescence? - ?Protein composition? - ?Soy protein isolates? - ?Sucrose concentration? - ?Surface proteins

Classification code: 801 Chemistry? - ?801.3 Colloid Chemistry? - ?802.3 Chemical Operations? - ?804.1 Organic Compounds? - ?822.1 Food Products Plants and Equipment? - ?822.3 Food Products

Numerical data indexing: Percentage 0.00e+00% to 3.00e-01%, Percentage 3.00e-01%

DOI: 10.6041/j.issn.1000-1298.2021.01.041

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

32. Unsupervised GMM for Rice Segmentation with UAV Images Based on Lab Color Space

Accession number: 20210910003248

Title of translation: LabGMM

Authors: Cao, Yingli (1, 2); Lin, Mingtong (1); Guo, Zhonghui (1); Xiao, Wen (1); Ma, Dianrong (3); Xu, Tongyu (1, 2)

Author affiliation: (1) College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang; 110866, China; (2) Liaoning Engineering Research Center for Information Technology in Agriculture, Shenyang; 110866, China; (3) Key Laboratory of Northeast Rice Biology, Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Shenyang Agricultural University, Shenyang; 110866, China

Corresponding author: Xu, Tongyu(yatongmu@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 162-169

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Rice image segmentation is a key step to obtain rice growth parameters, and plays an important role in rice production. The performance of traditional rice canopy image segmentation algorithm largely depends on the quality of the training data set, and the segmentation result is easily affected by the variable light intensity in the field, which leads to the poor estimation accuracy of rice growth information. In order to solve the above problems, an unsupervised Bayesian method based on Lab color space was proposed for field UAV image segmentation. With the unsupervised learning approach, the model parameters were directly learned by using unlabeled data from each individual UAV image. Different images had different model parameters, and this made the algorithm adaptable to images taken under a wide variety of conditions. The proposed algorithm was applied to UAV image segmentation of rice field in late tillering stage, and compared with RGB-GMM, HSV-GMM and All-GMM algorithms. Applying the algorithm on diverse UAV images in 10 m height achieved an average recall, precision and F1 score of 0.842 7, 0.757 0 and 0.794 8, respectively. Applying the algorithm on diverse UAV images in 15m height achieved an average recall, precision and F1 score of 0.875 6, 0.713 3 and 0.778 8, respectively. These numbers outperformed the RGB-GMM, HSV-GMM and All-GMM algorithms. The experimental result demonstrated that the proposed method can accurately identify rice pixels in UAV images taken under diverse conditions. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 22

Main heading: Image segmentation

Controlled terms: Bayesian networks? - ?Color? - ?Color image processing? - ?Unmanned aerial vehicles (UAV)

Uncontrolled terms: Bayesian methods? - ?Image segmentation algorithm? - ?Lab color space? - ?Light intensity? - ?Model parameters? - ?Rice production? - ?Segmentation results? - ?Training data sets

Classification code: 652.1 Aircraft, General? - ?741.1 Light/Optics? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory

Numerical data indexing: Size 1.00e+01m, Size 1.50e+01m

DOI: 10.6041/j.issn.1000-1298.2021.01.018

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

33. Detection Method for Fertilizing Information of Group Duck Eggs Based on Deep Learning

Accession number: 20210910003364

Title of translation:

Authors: Li, Qingxu (1); Wang, Qiaohua (1, 2); Xiao, Shijie (1); Gu, Wei (1); Ma, Meihu (3)

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; (3) National Egg Research and Development Center, Wuhan; 430070, China

Corresponding author: Wang, Qiaohua(wqh@mail.hzau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 193-200

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The method of removing unfertilized eggs in China’s poultry egg incubation industry relies on artificial irradiation of eggs, with low degree of automation. The accurate identification of fertilized eggs in group duck eggs during the early incubation period is the key technology to realize the automation and intelligence of the incubation process. A group of duck eggs hatched for five days was taken as the research object, and the images of the group duck eggs were collected using corresponding image acquisition devices. Based on the commonly used single shot multibox detector (SSD) network, an improved SSD target detection algorithm was proposed to accurately identify the fertilized eggs and non-fertilized eggs in the eggs of early hatching period. Using MobileNetV3 lightweight network as a model feature extraction network to quickly and efficiently extract image features. At the same time, the inverse residual block was used instead of the standard convolution layer in the SSD regression detection network to improve the detection network efficiency. The results showed that the average recognition accuracy of the model was 98.09%, the recall rate was 97.32%, and themissed detection rate was zero. It was better than 96.88%, 96.17% and 1.04% of the network model before the improvement. Therefore, this method can provide a new basis for the research and development of intelligent robot or robot hand related to duck egg incubation industry and accelerate the intellectualization of poultry egg incubation industry. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 24

Main heading: Deep learning

Controlled terms: Industrial robots? - ?Intelligent robots? - ?Inverse problems

Uncontrolled terms: Acquisition device? - ?Detection methods? - ?Detection networks? - ?Incubation periods? - ?Model feature extraction? - ?Recognition accuracy? - ?Research and development? - ?Target detection algorithm

Classification code: 731.6 Robot Applications

Numerical data indexing: Percentage 1.04e+00%, Percentage 9.62e+01%, Percentage 9.69e+01%, Percentage 9.73e+01%, Percentage 9.81e+01%

DOI: 10.6041/j.issn.1000-1298.2021.01.022

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

34. Load Extrapolation Method Based on Adaptive Bandwidth Kernel Density Estimation

Accession number: 20210910003291

Title of translation:

Authors: Niu, Wentie (1); Cai, Fuyou (1); Fu, Jingjing (1)

Author affiliation: (1) Key Laboratory of Mechanism Theory and Equipment Design, Ministry of Education, Tianjin University, Tianjin; 300350, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 375-384

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: For the limitation of the traditional load extrapolation methods in the process of load spectrum compilation, an adaptive bandwidth kernel density estimation algorithm was proposed based on the quad-tree algorithm to obtain the load spectrum, which can obtain the corn harvester frame more accurately and quickly. Firstly, the rain flow counting method was applied to count the pretreated measured load data. The load cycles whose amplitudes were less than 10% of the maximum load cycle amplitude value were filtered. The remaining load data were segmented into different regions according to the quad-tree segmentation algorithm. The Gaussian kernel function was selected as the kernel function, and the local optimal bandwidth of the data in each region was calculated according to the rule of thumb. In addition, the input of the kernel density estimation was optimized according to the density of data points in the data area, which reduced the calculation consumption of kernel density estimation. The measured load data from the frame of the corn harvester were used for verifying the effectiveness of proposed method. Compared with the traditional load extrapolation methods of fixed and adaptive bandwidth kernel density estimation, the proposed method greatly improved the computational efficiency, the probability density calculated by the proposed method was closer to the actual load distribution. The correlation coefficient of frequency distribution of load cycle mean and amplitude was closer to 1, and the root mean square error was smaller. The determining coefficient of the amplitude cumulative frequency curve was greater than 0.99. The results showed that the research result can provide reference for load extrapolation and load spectrum compilation. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 30

Main heading: Trees (mathematics)

Controlled terms: Bandwidth? - ?Computational efficiency? - ?Extrapolation? - ?Harvesters? - ?Mean square error? - ?Probability distributions? - ?Statistics

Uncontrolled terms: Correlation coefficient? - ?Cumulative frequencies? - ?Frequency distributions? - ?Gaussian kernel functions? - ?Kernel Density Estimation? - ?Probability densities? - ?Rain flow counting method? - ?Root mean square errors

Classification code: 716.1 Information Theory and Signal Processing? - ?821.1 Agricultural Machinery and Equipment? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory? - ?921.6 Numerical Methods? - ?922.1 Probability Theory? - ?922.2 Mathematical Statistics

Numerical data indexing: Percentage 1.00e+01%

DOI: 10.6041/j.issn.1000-1298.2021.01.042

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

35. Detection Technology for Fish Storage Method Based on Single-chip Computer System and Biological Impedance

Accession number: 20210910003366

Title of translation:

Authors: Shen, Huixing (1); Tao, Hanxiao (2); Pan, Huiyao (2); Zhang, Tiantai (2); Teng, Zhuoran (1); Zhou, Mei (1)

Author affiliation: (1) College of Science, China Agricultural University, Beijing; 100083, China; (2) College of Information and Electrical Engineering, China Agricultural University, Beijing; 100083, China

Corresponding author: Zhou, Mei(mmmzhou@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 333-337

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the problem of identification of fish storage methods (chilled and frozen), a technique for rapid detection of fish storage methods was proposed based on a single-chip computer system and biological impedance. The relative changing rate of impedance of chilled and thawed crucian and carp at the signal frequency of 1 kHz and 16 kHz was measured and analyzed. The results showed that the relative changing rate of impedance of chilled fish was more than 100%, while the relative changing rate of impedance of thawed fish was less than 100%. Arduino microcontroller system, resistors and high frequency AC voltage sensors were used to build circuit detection system. Firstly, the fish was connected to the detection system and the voltage information across the resistor and the voltage information across the fish were obtained when the AC signal frequency was 1 kHz and 16 kHz, respectively. Then, the relative changing rate of the impedance of the fish body at the signal frequency of 1 kHz and 16 kHz was calculated. Finally, the relative changing rate of impedance was used to identify chilled fish and thawed fish, and the detection results was output on the display terminal. This technology had good performance, simple and convenient operation, no damage to the fish during the detection process, and the identification process was accurate and efficient, and the detection accuracy rate can reach 95%. This technology solved the problem of difficulty in identifying chilled fish and thawed fish, and provided a idea for the detection of fish storage methods. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 22

Main heading: Fish

Controlled terms: Damage detection? - ?Resistors? - ?Signal processing? - ?Thawing

Uncontrolled terms: Biological impedance? - ?Detection accuracy? - ?Detection process? - ?Detection technology? - ?Identification process? - ?Microcontroller systems? - ?Signal frequencies? - ?Single chip computers

Classification code: 716.1 Information Theory and Signal Processing

Numerical data indexing: Frequency 1.00e+03Hz, Frequency 1.60e+04Hz, Percentage 1.00e+02%, Percentage 9.50e+01%

DOI: 10.6041/j.issn.1000-1298.2021.01.037

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

36. Enzymatic Synthesis of Medium- and Long-chain Triacylglycerols Based on Perilla Oil and MCTs

Accession number: 20210910003451

Title of translation: MCT

Authors: Huang, Zhaoxian (1, 2); Wang, Manyi (1, 2); Sun, Chengguo (3); Wang, Fengyan (1); Wang, Xiangyu (1); Jiang, Lianzhou (4, 5)

Author affiliation: (1) COFCO Nutrition and Health Research Institute, Beijing; 102209, China; (2) Beijing Key Laboratory of Nutrition & Health and Food Safety, Beijing; 102209, China; (3) R&D Center, COFCO-Oils, Tianjin; 300452, China; (4) College of Food Science, Northeast Agricultural University, Harbin; 150030, China; (5) Linyi Yuwang Plant Protein Co., Ltd., Dezhou; 253000, China

Corresponding author: Wang, Xiangyu(wang_xiangyu@cofco.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 360-366 and 359

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The medium- and long-chain triacylglycerols (MLCTs) rich in α-linolenic acid could be used as an anti-obesity, functional material in food industry. MLCTs could overcome the shortcomings of the LCTs and MCTs, and provide the human body with essential fatty acids and faster energy supply. Enzymatic interesterification of perilla oil and MCTs was performed to prepare the MLCTs rich in α-linolenic acid, the reaction were catalysed by Lipozyme RM IM. The effects of enzyme loading, ratio of MCTs to perilla oil, reaction time and reaction temperature on the yield of MLCT were studied. The results showed that the reaction achieved more than 70% yield of MLCTs in triacylglycerols under the conditions of 6% Lipozyme RM IM, 40% MCT and 60% perilla oil at 60 for 4 h. Deodorization was a traditional deacidification method, in consideration of processing costs and equipment reconstruction costs, the two-stages deodorization was used to update into a two-stages deodorization to better remove the undesired by-products after interesterification reaction, providing a method for the physical deacidification of polyunsaturated oils in practice. The free fatty acids of the interesterified products were removed significantly, the triacylglycerols were more than 97% in the refined products, and the trans fatty acids could be limited within 1%. In the purified products, more than 85% of the long-chain fatty acids were occupying the sn-2 position in triacylglycerols, and the total α-linolenic were more than 40%. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 27

Main heading: Fatty acids

Controlled terms: Drying oils? - ?Functional materials? - ?Glycerol? - ?Odor control

Uncontrolled terms: Alpha linolenic acids? - ?Enzymatic interesterification? - ?Enzymatic synthesis? - ?Essential fatty acids? - ?Long chain fatty acid? - ?Long chain triacylglycerols? - ?Physical deacidification? - ?Reaction temperature

Classification code: 804.1 Organic Compounds? - ?951 Materials Science

Numerical data indexing: Percentage 1.00e+00%, Percentage 4.00e+01%, Percentage 6.00e+00%, Percentage 6.00e+01%, Percentage 7.00e+01%, Percentage 8.50e+01%, Percentage 9.70e+01%, Time 1.44e+04s

DOI: 10.6041/j.issn.1000-1298.2021.01.040

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

37. Review and Prospect of Agri-products Supply Chain Traceability Based on Blockchain Technology

Accession number: 20210910003425

Title of translation:

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

Author affiliation: (1) National Engineering Research Center for Information Technology in Agriculture, Beijing; 100097, China; (2) 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: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 1-13

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The agricultural product supply chain has the characteristics of long chain, decentralized production, and heterogeneous information from multiple sources, which can easily lead to disconnection and opacity of upstream and downstream information in the supply chain. Traditional traceability data is stored in each node enterprise, and there are problems such as low collaboration trust and poor authenticity in the upstream and downstream data transmission process of the supply chain, which causes consumers to have a trust crisis in the authenticity of traceability information. The blockchain traceability system establishes a distributed database with multi-party participation and joint maintenance, and uses cryptography and consensus mechanisms to establish a trust relationship. It has the advantages of inability to tamper with data and high sharing credibility. In recent years, it has become a research hotspot at home and abroad. The research progress of blockchain traceability systems for agricultural products at home and abroad was systematically summarized, and the blocks were analyzed in detail: blockchain traceability on-chain and off-chain data collaboration, blockchain traceability consensus mechanism, and blockchain traceability data privacy protection. Finally, after the large-scale application of the blockchain, multi-chain and cross-chain technology would become the development trend, and it was predicted that the blockchain technology would be deeply integrated with the new generation of information technology such as the internet of things, artificial intelligence and big data, which was going to promote the blockchain traceability supply chain to enter a new stage of development. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 121

Main heading: Blockchain

Controlled terms: Agricultural products? - ?Agricultural robots? - ?Artificial intelligence? - ?Authentication? - ?Data privacy? - ?Supply chains

Uncontrolled terms: Data collaborations? - ?Data privacy protections? - ?Decentralized production? - ?Distributed database? - ?Heterogeneous information? - ?Large-scale applications? - ?Traceability information? - ?Traceability systems

Classification code: 723 Computer Software, Data Handling and Applications? - ?723.4 Artificial Intelligence? - ?821.4 Agricultural Products? - ?912 Industrial Engineering and Management? - ?913 Production Planning and Control; Manufacturing

DOI: 10.6041/j.issn.1000-1298.2021.01.001

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

38. Recognition and Localization Method of Tomato Based on SOM-K-means Algorithm

Accession number: 20210910003378

Title of translation: SOM-K-means

Authors: Li, Han (1); Tao, Hanxiao (1); Cui, Lihao (2); Liu, Dawei (2); Sun, Jiantong (1); Zhang, Man (2)

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

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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 23-29

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: A method of tomatoes segmentation based on RGB-D depth images and K-means optimized SOM neural network was proposed, aiming to solve the problem of automatic recognizing and localizing difficulties caused by fruits overlapping and adherence. Firstly, the contours information of the fruits was obtained from preprocessed images taken by an RGB-D camera. Secondly, two-dimensional information and depth information of the points of contours were filtered and processed. Thirdly, the processed information was used as the input to the SOM neural network optimized by the K-means algorithm for training and a model for the point cloud clustering was established. Finally, the position and contour shape of each tomato were obtained. To verify the performance of the algorithm, the correct rate and the root mean square error of the fruit recognition results was used as evaluation indicators. Totally 80 pictures containing 366 tomatoes were taken as the sample, and accuracy, precision, sensitivity and specificity were taken as evaluation indicators. The correct rate was 87.2%, the root mean square error was 1.66 mm. It was proved that the method had higher accuracy and better robustness compared with the method for two-dimensional images based on Hough transform. This method solved the problem of occlusion of tomato fruits in real environment to a certain extent, and provided a new idea for combining the three-dimensional coordinate information and self-organizing neural network for fruit segmentation. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 22

Main heading: K-means clustering

Controlled terms: Feature extraction? - ?Fruits? - ?Hough transforms? - ?Image segmentation? - ?Information filtering? - ?Mean square error? - ?Self organizing maps

Uncontrolled terms: Evaluation indicators? - ?Localization method? - ?Processed information? - ?Root mean square errors? - ?Self-organizing neural network? - ?Sensitivity and specificity? - ?Three dimensional coordinate? - ?Two dimensional images

Classification code: 821.4 Agricultural Products? - ?903.1 Information Sources and Analysis? - ?921.3 Mathematical Transformations? - ?922.2 Mathematical Statistics

Numerical data indexing: Percentage 8.72e+01%, Size 1.66e-03m

DOI: 10.6041/j.issn.1000-1298.2021.01.003

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

39. Design and Experiment of Solar Refractive Line Focusing Flat Plate Condenser for Forage Drying

Accession number: 20210910003367

Title of translation:

Authors: Du, Jianqiang (1); De, Xuehong (1); Wang, Hongbo (1); Li, Jie (1); Zhang, Wenjie (1); Guo, Fang (1)

Author affiliation: (1) College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Huhhot; 010018, China

Corresponding author: De, Xuehong(dexuehong@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 129-138

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problems of low productivity of solar drying equipment and low thermal efficiency of solar air collector, a solar refractive linear focusing plate condenser was designed. The three-dimensional model of the condenser was designed, and the energy efficiency model of the condenser was established through numerical calculation. Then, the influence of the incident angle of light, focal length error, system tracking accuracy and processing error of the concentrating surface on the concentrating ratio and the energy distribution of the focusing light band was analyzed. Through the analysis, it was concluded that when the focusing lens adopted the east-west orientation to track the sun, the azimuth tracking error was kept within ±1.1° range. When the focus error was controlled within ±50 mm and the wedge angle error of the condenser was within ±0.06°, and the high optical efficiency can be maintained for a long time. The experimental scheme design and system construction were carried out, and the influence parameters were tested. The test result showed that the azimuth tracking mode of the condenser from east to west was better than that from south to north, which can keep high optical efficiency for a long time. Finally, the contrast test of forage drying system was carried out. Through the test verification, compared with the flat plate solar air heat collection system, the heat collection efficiency of the refracted linear focusing solar air heat collection system was shortened from 6.5 h to 4.5 h, and the final moisture content was reduced from 20% to 17%, which could effectively improve the drying efficiency and quality of forage. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 34

Main heading: Collector efficiency

Controlled terms: Drying? - ?Energy efficiency? - ?Errors? - ?Focusing

Uncontrolled terms: Energy distributions? - ?Experimental scheme? - ?Final moisture content? - ?Influence parameter? - ?Numerical calculation? - ?Solar air collector? - ?System construction? - ?Three-dimensional model

Classification code: 525.2 Energy Conservation? - ?702.3 Solar Cells

Numerical data indexing: Percentage 2.00e+01% to 1.70e+01%, Time 2.34e+04s to 1.62e+04s

DOI: 10.6041/j.issn.1000-1298.2021.01.014

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

40. Path Planning of Greenhouse Robot Based on Fusion of Improved A* Algorithm and Dynamic Window Approach

Accession number: 20210910003395

Title of translation: A*DWA

Authors: Lao, Cailian (1, 2); Li, Peng (1); Feng, Yu (1)

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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 14-22

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Path planning is the premise of greenhouse robot operation, and an optimal continuous barrier free path is planned with great significance. An algorithm based on the combination of improved A* algorithm and dynamic window approach was proposed to solve real-time path planning of mobile robot in greenhouse. The core was based on the search algorithm of traditional A* algorithm. Aiming at the problem of too many inflexion points, the key point selection strategy was improved. The dynamic window method was integrated to construct a global optimal path evaluation function. Local obstacle avoidance was achieved through ultrasonic sensors to achieve real-time optimal path planning. The simulation results showed that compared with the traditional A*, Dijkstra, RRT algorithms, the improved A* algorithm had a smoother path and higher efficiency, which was conducive to the motion control of the robot in the greenhouse, which showed the effectiveness of the algorithm. Considering the size of the robot, the grid map of the real environment was expanded to ensure the safety of the path. The experimental results showed that the fusion algorithm can satisfy the smoothness of path and effectively avoid obstacles. The mobile robot can achieve autonomous navigation, and the tracking error was kept within 0.22 m, and the positioning error was no more than 0.28 m, which met the actual needs. The research result had an important reference value for the application of greenhouse mobile robot navigation. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 24

Main heading: Robot programming

Controlled terms: Greenhouses? - ?Mobile robots? - ?Navigation systems

Uncontrolled terms: Autonomous navigation? - ?Continuous barrier? - ?Dynamic window approach? - ?Evaluation function? - ?Local obstacle avoidances? - ?Mobile Robot Navigation? - ?Real environments? - ?Real time path planning

Classification code: 731.5 Robotics? - ?821.6 Farm Buildings and Other Structures

Numerical data indexing: Size 2.20e-01m, Size 2.80e-01m

DOI: 10.6041/j.issn.1000-1298.2021.01.002

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

41. Modeling of Canopy Structure of Field-grown Maize Based on UAV Images

Accession number: 20210910003431

Title of translation:

Authors: Zhu, Binglin (1); Li, Min (1); Liu, Fusang (1); Jia, Aobo (1); Mao, Xiu (1); Guo, Yan (1)

Author affiliation: (1) College of Land Science and Technology, China Agricultural University, Beijing; 100193, China

Corresponding author: Guo, Yan(yan.guo@cau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 170-177

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: It is of vital significance to efficiently collect the information of crop canopy structure for new cultivar breeding and field management optimization. At present, methods such as three-dimensional digitizing have been used to obtain canopy structure information of field-grown crops, but most of them require manual intervention, which is time-consuming and laborious. Therefore, it is urgent to develop novel methods with high-efficiency. A micro UAV was used in the field to acquire image sequences of maize canopy at the seedling stage, and individual plants as well as several neighboring plants at the later mature stage. Considering the heavy shading among plants at the late stage, surrounding plants of the target plants were removed before images were taken. Based on the point clouds reconstructed using the UAV images, the canopy structure model was efficiently built by creating pseudo poles. Then, the model was evaluated according to the field measurements of plant height, leaf length, max width and leaf area. There was a good agreement between the measured and calculated plant height, leaf length and max width with R2 no less than 0.91 and RMSE, rRMSE and ME were small for both growth stages. The R2 of leaf area at both growth stages were 0.96 and 0.76, respectively. RMSE, rRMSE and ME were small at the seedling stage while marginally larger at the mature stage. The proposed method provided a novel way for high-throughput plant structure modeling and phenotyping of field-grown crops. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 33

Main heading: Information management

Controlled terms: Crops? - ?Plants (botany)? - ?Unmanned aerial vehicles (UAV)

Uncontrolled terms: Canopy structure? - ?Field management? - ?Field measurement? - ?High throughput? - ?High-efficiency? - ?Image sequence? - ?Manual intervention? - ?Plant structures

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

DOI: 10.6041/j.issn.1000-1298.2021.01.019

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

42. Statics and Kinematic Characteristics Simulation of 4-DOF Hybrid Antenna Mechanism for Design

Accession number: 20210910003358

Title of translation:

Authors: Zhang, Guoxing (1); Guo, Jinwei (1); Hou, Yulei (1); Zeng, Daxing (2)

Author affiliation: (1) School of Mechanical Engineering, Yanshan University, Qinhuangdao; 066004, China; (2) School of Mechanical Engineering, Dongguan University of Technology, Dongguan; 523000, China

Corresponding author: Hou, Yulei(ylhou@ysu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 418-426

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: It is an effective way to improve the tracking accuracy of antenna by studying the static and kinematic characteristics of antenna mechanism. Firstly, the structure of the hybrid antenna mechanism was described. Secondly, the force analysis of each component of the hybrid antenna mechanism was given based on the wrench transformation relationship. The static solution of the hybrid antenna mechanism was carried out based on the numerical calculation software. The actuation forces distribution of the hybrid antenna mechanism with special positioning attitude were studied. The theoretical solution results were compared with the software simulation results to verify the correctness of the theoretical analysis. Thirdly, the finite element software was used to study the deformation of the hybrid antenna mechanism under special positioning attitude, and the overall deformation of the hybrid antenna mechanism was evaluated. The vibration characteristics of the hybrid antenna mechanism were simulated. Meanwhile, the vibration mode and natural frequency of the hybrid antenna mechanism under special positioning attitude were obtained. The motion simulation of hybrid antenna mechanism was carried out based on the numerical calculation software, and the motion envelope space of pitch and azimuth motion trajectory of the hybrid antenna mechanism was studied. Finally, the structure design of the key components of the hybrid antenna mechanism was carried out, and the physical prototype of the hybrid antenna mechanism was developed based on the key parts model. The research result can provide a reference for the design and development of antenna mechanism. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Antennas

Controlled terms: Computer software? - ?Deformation? - ?Kinematics

Uncontrolled terms: Design and Development? - ?Finite element software? - ?Kinematic characteristics? - ?Motion trajectories? - ?Numerical calculation? - ?Software simulation? - ?Theoretical solutions? - ?Vibration characteristics

Classification code: 723 Computer Software, Data Handling and Applications? - ?931.1 Mechanics

DOI: 10.6041/j.issn.1000-1298.2021.01.047

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

43. Design and Test of Impurity Removal Device of Potato Receiving Hopper

Accession number: 20210910003413

Title of translation:

Authors: Lü, Jinqing (1); Du, Changlin (1); Liu, Zhongyuan (1); Li, Jicheng (1); Li, Zihui (1); Li, Zhongyuan (1)

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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 82-90 and 61

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problems of high potato damage rate and low impurity removal during the impurity removal process of the potato receiving hopper impurity removal device, the kinetic analysis of the potato impurity removal process and the condition analysis of the separation of the potato from the soil are combined with the rotation friction of the impurity removal roller. The principle of impurity, determines the main factors affecting the quality of potato impurity removal and the experimental value range of each factor. Taking potato damage rate and impurity removal rate as the evaluation index, and taking the distance of the impurity removal roller, the inclination angle of the device and the speed of the impurity removal roller as the experimental factors, the second rotation orthogonal regression test was carried out, and the regression mathematical model between each factor and the test index was established. Analyzing the influence of various factors on the evaluation index and optimizing the parameters, the results show that when the distance between the impurity removal roller is 125 mm, the device inclination angle is 10°, and the speed of the impurity removal roller is 112 r/min, the potato damage rate is 0.65%, the impurity removal rate is 96.03%, Compared with the hopper machine without parameter optimization, the potato damage rate is reduced by 0.12 percentage points, and the impurity removal rate is increased by 0.63 percentage points, which can better meet the requirements of potato storage operations. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Removal

Controlled terms: Food storage? - ?Hoppers? - ?Rollers (machine components)

Uncontrolled terms: Condition analysis? - ?Experimental factors? - ?Experimental values? - ?Inclination angles? - ?Orthogonal regression? - ?Parameter optimization? - ?Percentage points? - ?Storage operations

Classification code: 601.2 Machine Components? - ?691.1 Materials Handling Equipment? - ?694.4 Storage

Numerical data indexing: Percentage 6.50e-01%, Percentage 9.60e+01%, Rotational_Speed 1.12e+02RPM, Size 1.25e-01m

DOI: 10.6041/j.issn.1000-1298.2021.01.009

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

44. Error Modeling Analysis and Calibration of Semi-symmetrical Three-translation Delta-CU Parallel Mechanism

Accession number: 20210910003299

Title of translation: Delta-CU

Authors: Meng, Qingmei (1); Li, Jiayu (1); Li, Ju (1); Deng, Jiaming (1); Shen, Huiping (1)

Author affiliation: (1) Modern Institutional Research Center, Changzhou University, Changzhou; 213164, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 393-400

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The error modeling and experimental analysis were discussed for a semi-symmetrical 3-translational Delta-CU parallel mechanism, which was proposed by the author’s team. On the basis of the planning executive terminal trajectory, kinematics error of the actuator was compensated by adopting external direct calibration and correcting the system input. In the process of direct external calibration, the global least square method was used to solve the coordinate transformation parameters,which could reduce the impact of random measurement errors carried in the coefficient matrix on the precision of coordinate data at the execution end, thus the motion error data was calculated and the coordinate data of the execution end was obtained. With the error data as the sample, the fuzzy neural network model was trained, and the trained fuzzy neural network model was used to predict the error value of Delta-CU parallel robot mechanism. Experimental results showed that the accuracy of fuzzy neural network model prediction was exactly accurate,which would improve the compensation accuracy and applicate in practical Delta-CU parallel mechanism,and provide a practical reference for thermal error compensation of Delta-CU parallel mechanism.Absolute position accuracy was improved from 1.187 mm to 0.4 mm and the repeat position accuracy was improved from 0.037 mm to 0.018 mm. The error modeling and analysis method described was reliable and effective, with good compensation effect and obvious accuracy improvement. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Fuzzy neural networks

Controlled terms: Calibration? - ?Error compensation? - ?Fuzzy inference? - ?Fuzzy logic? - ?Least squares approximations? - ?Linear transformations? - ?Mechanisms? - ?Metadata? - ?Random errors

Uncontrolled terms: Accuracy Improvement? - ?Co-ordinate transformation? - ?Experimental analysis? - ?Fuzzy neural network model? - ?Global least squares? - ?Parallel robot mechanisms? - ?Random measurement errors? - ?Thermal error compensation

Classification code: 601.3 Mechanisms? - ?721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory? - ?723.4 Artificial Intelligence? - ?921.3 Mathematical Transformations? - ?921.6 Numerical Methods

Numerical data indexing: Size 1.19e-03m to 4.00e-04m, Size 3.70e-05m to 1.80e-05m

DOI: 10.6041/j.issn.1000-1298.2021.01.044

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

45. Design of Chemical Reaction Self-driven Rolling Robot

Accession number: 20210910003335

Title of translation:

Authors: He, Xuetao (1); Liu, Youzhi (1); Jiao, Zhiwei (1); Yu, Yuan (1); Yang, Weimin (1); Ma, Haopeng (1)

Author affiliation: (1) College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing; 100029, China

Corresponding author: Jiao, Zhiwei(jiaozw@mail.buct.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 410-417

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Rolling robots often use external electric power or pneumatic drive, which limits the usage of them. A chemical reaction self-driven rolling robot was designed. Reaction liquid and catalyst were placed inside the robot. The gas generated by the chemical reaction pushed the reaction liquid to circulate in the multiple cavities of the robot, changing the center of gravity of the robot to achieve rolling. Gravity valve was designed, which was the key component of rolling robot. The gravity valve can be opened and closed periodically at different angles to control the flow. The gravity valve was made of silicone rubber and copper balls. The structure size of the gravity valve was optimized, and the leakage amount reached the minimum under the conditions of required opening and closing angle. The parameters and conditions of the rolling robot to achieve self-drive were analyzed, and the relationship between the lowest liquid level line, the highest liquid level line, the opening angle and closing angle of the gravity valve was obtained. The body of the rolling robot was made by 3D printing. Rotational angular velocity of the rolling robot was about 2(°)/s. The feasibility of this kind of chemical reaction self-driven rolling robot was verified, and a new idea was provided for the application of chemical reaction self-driven in the field of robots. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Robots

Controlled terms: 3D printers? - ?Chemical reactions? - ?Liquids? - ?Machine design? - ?Pneumatic drives? - ?Silicones

Uncontrolled terms: Center of gravity? - ?Closing angle? - ?Electric power? - ?Multiple cavities? - ?Opening angle? - ?Reaction liquid? - ?Rolling robots? - ?Structure sizes

Classification code: 601 Mechanical Design? - ?632.4 Pneumatic Equipment and Machinery? - ?731.5 Robotics? - ?745.1.1 Printing Equipment? - ?802.2 Chemical Reactions? - ?815.1.1 Organic Polymers

DOI: 10.6041/j.issn.1000-1298.2021.01.046

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

46. Hyperspectral Image Classification Method with Small Sample Set Based on Adaptive Dictionary

Accession number: 20210910003260

Title of translation:

Authors: Hu, Xiaohong (1); Si, Haiping (1)

Author affiliation: (1) College of Information and Management Science, Henan Agricultural University, Zhengzhou; 450046, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 154-161

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: To effectively utilize the spectral and spatial information of limited labeled training samples in hyperspectral image (HSI) classification, a HSI classification approach with small sample set based on adaptive dictionary was proposed. Firstly, discriminating pixels of each labeled sample were extracted from spatial information with entropy rate segmented superpixels and spectral neighborhood, the training set was then extended by adding the discriminating pixels. Furthermore, the spatial-spectral information of each test sample was analyzed, and its adaptive dictionary was constructed by simplifying the extended training sample set. Finally, the spatial-spectral reconstruction was performed on the adaptive dictionary of each test pixel, where the collaboration and competition among dictionary elements were both considered. To evaluate the performance of the proposed approach, it was compared with some traditional methods by using spectral information and the state-of-the-art methods incorporated traditional information of fixed window size, experimental results on Indian Pines dataset with only 2% training set demonstrated that the overall accuracy of the proposed approach was 91.45%, which was 3.48~39.52 percentage points higher than that of other methods, and the results on Pavia University HSI with 1% training set showed that the overall accuracy of the proposed approach reached 95.54%, which was 2.45~21.63 percentage points higher than that of others, indicating the effectiveness of the proposed approach. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 27

Main heading: Classification (of information)

Controlled terms: Image classification? - ?Pixels? - ?Sampling? - ?Spectroscopy

Uncontrolled terms: Classification approach? - ?Overall accuracies? - ?Percentage points? - ?Spatial informations? - ?Spectral information? - ?Spectral reconstruction? - ?State-of-the-art methods? - ?Training sample

Classification code: 716.1 Information Theory and Signal Processing

Numerical data indexing: Percentage 1.00e+00%, Percentage 2.00e+00%, Percentage 9.15e+01%, Percentage 9.55e+01%

DOI: 10.6041/j.issn.1000-1298.2021.01.017

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

47. Design and Experiment of Status Detection of Greenhouse Ventilation Devices

Accession number: 20210910003309

Title of translation:

Authors: Qin, Linlin (1); Huang, Yunmeng (1); Wu, Gang (1); Shi, Chun (1)

Author affiliation: (1) Department of Information Science and Technology, University of Science and Technology of China, Hefei; 230027, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 1

Issue date: January 25, 2021

Publication year: 2021

Pages: 303-311

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: According to the requirements of modern greenhouse monitoring and management, the status monitoring module of greenhouse devices was developed based on Android system. CAN bus system was used for the real-time environmental data acquisition and environmental devices control in greenhouse. The system software was developed based on Android operating system and it had the function of remote monitoring. Based on the real-time video data provided by the camera, different image recognition technologies were studied in the status detection of greenhouse devices to implement abnormal monitoring of fan and vent status of greenhouse ventilation devices. The frame subtraction method and autocorrelation function were used in the detection of fan switch. The background subtraction method and Canny edge detection were studied to detect the opening status of ventilation window. The real-time and accuracy of different algorithms were compared. Test results showed that the system data transmission was stable, the environmental regulation was reliable, the video image was clear and smooth, and the devices status can be detected in real time and reliably. The operation of the status monitoring module of greenhouse ventilation devices was simple and the interface was friendly, which guaranteed the safety of automatic control of greenhouse ventilation devices and realized the requirements of remote intelligent monitoring in modern greenhouses. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 28

Main heading: Greenhouses

Controlled terms: Android (operating system)? - ?Automation? - ?Data acquisition? - ?Edge detection? - ?Environmental regulations? - ?Image recognition? - ?Monitoring? - ?Ventilation

Uncontrolled terms: Autocorrelation functions? - ?Background subtraction method? - ?Canny edge detection? - ?Greenhouse monitoring? - ?Greenhouse ventilation? - ?Image recognition technology? - ?Remote intelligent monitoring? - ?Subtraction method

Classification code: 454.2 Environmental Impact and Protection? - ?643.5 Ventilation? - ?723 Computer Software, Data Handling and Applications? - ?723.2 Data Processing and Image Processing? - ?731 Automatic Control Principles and Applications? - ?821.6 Farm Buildings and Other Structures

DOI: 10.6041/j.issn.1000-1298.2021.01.034

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village