2021年第7期共收录47篇

1. Characteristics of Rice Transpiration and Soil Evaporation and Their Proportion Variation in Water-saving Irrigated Paddy Field

Accession number: 20213110696410

Title of translation:

Authors: Liu, Xiaoyin (1, 2); Wang, Haiming (1); Wang, Yue (1); Zhou, Xinyi (1); Xu, Junzeng (1, 2)

Author affiliation: (1) College of Agricultural Science and Engineering, Hohai University, Nanjing; 210098, China; (2) State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing; 210098, China

Corresponding author: Xu, Junzeng(xjz481@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: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 271-282

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Crop evapotranspiration (ETCML) is usually divided into two processes: crop transpiration (T) and soil evaporation (E). The transpiration process, which is influenced by crop characteristics, meteorological and environmental factors and field management measures, is the key to study the change of crop water demand and water conversion in farmland. Soil evaporation is also an important part of the water cycle in farmland and plays a very important role in the calculation of water balance and energy balance of farmland, however, the research on evapotranspiration and its composition under the conditions of water-saving irrigation is very few. An experiment was carried out from 2015 to 2016 to explore the characteristics of water consumption under the conditions of water-saving irrigation, and to obtain a deeper understanding of the composition of evapotranspiration in water-saving irrigated rice fields. Daily/seasonal variation characteristics of evapotranspiration, evaporation and transpiration, and the change of the ratio of E or T to ETCML during typical weather and each growth period were analyzed by using a micro-lysimeter system. The results illustrated that ETCML, E and T indicated significant daily variation characteristics in different kinds of typical weather. On typical sunny days, changes of ETCML and T showed basically the same trend and they both showed an inverted “U” curve, while E was mostly influenced by crop growth stage and environmental factors. In addition, because water vapor was condensed on the surface of crops as well as soil, ETCML showed positive and negative alternation at night. ETCML and T on cloudy days were demonstrated as unstable trend with multi-peak variation, while E had no obvious daily variation characteristics. The micro-lysimeter was sensitive to the weight changes produced by rainfall, which caused inaccurate measurement data. In consequence, it was important to exclude the data when it was raining heavily. The daily variation of ETCML and T stood out an inverted “U” curve in all rice growth stages, while E showed an inverted “U” only in the early stage, and the cumulative daily value of E was less than 1.00 mm/d at the end of the growth stage. After the middle tillering stage, T became the decisive factor of rice evapotranspiration and determined the magnitude and pattern of ETCML. The seasonal variation of T and ETCML was increased and then decreased with Rn, and reached the maximum at the middle or late tillering stage, with obvious phenological characteristics. The proportion of E and T to ETCML was restricted by each other. The proportion of T to ETCML was increased gradually with the growth of rice, reaching a maximum at the milk ripening stage and decreasing slightly at the yellow ripening stage. The proportion of E was decreased gradually from about 0.95 at the beginning of rice growth to an average of about 0.24 at the end of rice growth period, with the average of 0.37 in rice season. The proportion of E to ETCML in paddy fields under irrigation conditions could be accurately expressed by its logarithmic relationship with rice transplanting days and leaf area index (LAI). The study of evapotranspiration process characteristics had important practical significance for both field water management and irrigation guidance. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 61

Main heading: Evapotranspiration

Controlled terms: Crops? - ?Farms? - ?Irrigation? - ?Lysimeters? - ?Plants (botany)? - ?Soil surveys? - ?Soils? - ?Transpiration? - ?Water conservation? - ?Water management ? - ?Water supply

Uncontrolled terms: Crop evapotranspiration? - ?Crop transpirations? - ?Environmental factors? - ?Logarithmic relationship? - ?Process characteristics? - ?Seasonal variation? - ?Variation characteristics? - ?Water-saving irrigation

Classification code: 444 Water Resources? - ?446.1 Water Supply Systems? - ?461.9 Biology? - ?483.1 Soils and Soil Mechanics? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?943.3 Special Purpose Instruments

DOI: 10.6041/j.issn.1000-1298.2021.07.029

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

2. Design and Test of Wireless Underground Sensor Network Nodes

Accession number: 20213110696175

Title of translation:

Authors: Zhang, Zenglin (1); Han, Meng (1); Han, Wenting (1, 2); Zheng, Jiayun (1); Yang, Jie (1)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling; 712100, China; (2) Institute of Soil and Water Conservation, Northwest A&F University, 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: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 203-212

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to reveal the general characteristics of electromagnetic wave signal transmission in farmland soil and scientifically deploy sensor nodes, taking the farmland soil in Guanzhong region as the research object, adopted the modular design idea, integrated sensor, wireless data transmission, processor and energy supply module into one. Wireless underground sensor networks (WUSN) nodes and sink nodes were designed. The influences of soil moisture content, buried depth of WUSN nodes and horizontal distance between nodes on signal transmission of WUSN nodes were analyzed by single factor test method, and the prediction model of received signal strength and bit error rate was established. The experimental results showed that when the WUSN node signal was transmitted vertically underground, the soil moisture content was increased by 2.5 percentage points, the received signal strength was decreased by 4~6 dBm, and the bit error rate was increased by 3~5 percentage points. The buried depth of WUSN node was increased by 5 cm, the received signal strength was decreased by 3~5 dBm, and the bit error rate was increased by 3~4.5 percentage points. When the WUSN node signal was transmitted in the horizontal direction underground, the soil moisture content was increased by 2.5 percentage points, the received signal strength was decreased by 5~7 dBm, and the bit error rate was increased by 4~5 percentage points. When the horizontal distance between nodes was within the range of 10~90 cm, the received signal strength was decreased by 6~8 dBm when the horizontal distance between nodes was increased by 10 cm, and the bit error rate was increased by 6.5~8 percentage points. When the horizontal distance between nodes was within the range of 90~190 cm, the received signal strength was decreased by about 1 dBm when the horizontal distance between nodes was increased by 10 cm. The bit error rate would be increased by 1~1.5 percentage points. The best fit R2 and root mean square error of WUSN node bit error rate and signal receiving strength prediction model in two transmission directions were 0.982 and 1.7%, respectively, and the best fit R2 and root mean square error were 0.942 and 5.136 dBm, respectively. In conclusion, the signal transmission of WUSN nodes in soil was seriously affected by soil moisture content, buried depth of WUSN nodes and horizontal distance between nodes. The received signal strength and bit error rate can be accurately calculated by using this prediction model, and then the maximum buried depth and maximum horizontal distance of WUSN nodes can be obtained. At the same time, the general conclusion of WUSN signal transmission in farmland soil was given. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 29

Main heading: Bit error rate

Controlled terms: Electromagnetic waves? - ?Errors? - ?Farms? - ?Forecasting? - ?Mean square error? - ?Moisture determination? - ?Predictive analytics? - ?Sensor networks? - ?Sensor nodes? - ?Soil moisture

Uncontrolled terms: Integrated sensors? - ?Percentage points? - ?Received signal strength? - ?Root mean square errors? - ?Signal transmission? - ?Strength prediction? - ?Wireless data transmission? - ?Wireless underground sensor networks

Classification code: 483.1 Soils and Soil Mechanics? - ?711 Electromagnetic Waves? - ?722 Computer Systems and Equipment? - ?723.1 Computer Programming? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?922.2 Mathematical Statistics? - ?944.2 Moisture Measurements

Numerical data indexing: Decibel_milliwatts 1.00e+00dBm, Decibel_milliwatts 3.00e+00dBm to 5.00e+00dBm, Decibel_milliwatts 4.00e+00dBm to 6.00e+00dBm, Decibel_milliwatts 5.00e+00dBm to 7.00e+00dBm, Decibel_milliwatts 5.14e+00dBm, Decibel_milliwatts 6.00e+00dBm to 8.00e+00dBm, Decibel_milliwatts 9.42e-01dBm, Percentage 1.70e+00%, Percentage 9.82e-01%, Size 1.00e-01m, Size 1.00e-01m to 9.00e-01m, Size 5.00e-02m, Size 9.00e-01m to 1.90e+00m

DOI: 10.6041/j.issn.1000-1298.2021.07.021

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

3. Effects of Soil Wetted Percentages and Nitrogen Fertilizations on Sweet Potato Growth under Drip Irrigation with Film Mulching

Accession number: 20213110696274

Title of translation:

Authors: Zhang, Youliang (1); Wang, Zhaohui (1); Feng, Shaoyuan (1); Wang, Fengxin (2)

Author affiliation: (1) College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou; 225009, China; (2) Center for Agricultural Water Research in China, China Agricultural University, Beijing; 100083, China

Corresponding author: Feng, Shaoyuan(syfeng@yzu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 261-270

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Optimizing the amount of water and nitrogen is the main way to increase crop yield and improve crop quality. Sweet potato, rich in anthocyanins, carotenoids and other health-care nutrients, has a good prospect for starch processing and is an important food and energy crop. Nitrogen is a necessary macronutrient element for sweet potato growth and development. Soil moisture is an important factor affecting soil nitrogen distribution in the field and sweet potato growth. Proper soil moisture can promote sweet potato vines growth and increase sweet potato yield. Meanwhile, soil moisture can help give full play to nitrogen fertilizer effect. Different soil wetted percentages and nitrogen fertilizations have different effects on sweet potato yield, water and fertilizer use efficiency, and sweet potato quality. The experiment was conducted in Rizhao City, Shandong Province from May to October 2020. The effects of different soil wetted percentages and nitrogen fertilizations on sweet potato vines growth, yield and quality under drip irrigation with black plastic film mulching were studied. The sweet potato vine stem diameter, vine length, and dry matter quality were measured throughout the whole growth season. The potato yield, tuber grade, starch, crude protein, soluble sugar and total carotenoid content were measured. The results showed that non-irrigation treatment could not fully exert the effect of nitrogen fertilizer, and caused drought stress, which was not conducive to the growth of sweet potato vines and dry matter accumulation. High nitrogen fertilization (N3) treatment improved the above-ground growth and made the sink-source imbalance. Then it inhibited the underground dry matter accumulation. The P2 treatment provided appropriate water conditions for sweet potato growth and promoted nitrogen absorption of sweet potato, which was beneficial to underground dry matter accumulation. Under the same soil wetted percentage treatments, the number of sweet potato per plant and the quantity (mass) of large potato pieces would first increase and then decrease with nitrogen fertilization increase. Irrigation increase can increase sweet potato yield. Nitrogen fertilization significantly increased sweet potato yield and the quantity (mass) of large sweet potato pieces. However, excessive nitrogen fertilization reduced sweet potato yield and the quantity (mass) of large potato pieces. Excessive soil nitrogen content inhibited sweet potato soluble sugar accumulation, while higher soil water content alleviated the inhibitory effect of high nitrogen on tuber soluble sugar accumulation. Sweet potato tuber total carotenoid content was decreased with the increase of nitrogen fertilization, and the rate was slowed down with the increase of nitrogen fertilization. Higher nitrogen fertilization promoted sweet potato formation tuber crude protein. Considering the yield and quality and partial factor productivity(PFP)of sweet potato, the suitable soil wetted percentage for sweet potato in Shandong Province was 60%, and the nitrogen fertilizer amount was 180.25 kg/hm2. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 35

Main heading: Nitrogen fertilizers

Controlled terms: Crops? - ?Film growth? - ?Forestry? - ?Irrigation? - ?Pigments? - ?Proteins? - ?Soil moisture? - ?Starch? - ?Water absorption? - ?Water treatment ? - ?Wetting

Uncontrolled terms: Dry matter accumulation? - ?Growth and development? - ?Irrigation treatments? - ?Nitrogen absorption? - ?Nitrogen fertilization? - ?Partial factor productivity? - ?Plastic film mulching? - ?Soil nitrogen content

Classification code: 445.1 Water Treatment Techniques? - ?483.1 Soils and Soil Mechanics? - ?802.3 Chemical Operations? - ?804 Chemical Products Generally? - ?804.1 Organic Compounds? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products

Numerical data indexing: Percentage 6.00e+01%

DOI: 10.6041/j.issn.1000-1298.2021.07.028

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

4. Effect of Seed Adsorption Posture of Corn Air-suction Metering Device on Seed Feeding Performance

Accession number: 20213110697115

Title of translation:

Authors: Ding, Li (1); Yang, Li (1); Zhang, Dongxing (1); Cui, Tao (1); Zhang, Kailiang (1); Zhong, Xiangjun (1)

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

Corresponding author: Yang, Li(yangli@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: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 40-50

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to ensure the uniformity of seed delivery under the condition of high-speed operation of the air-suction seed metering device, the big-flat seeds with high proportion and big change in length, width and thickness in corn seeds were studied. The influence of seed adsorption attitude on seed delivery stability was verified through theoretical analysis. Considering the vibration caused by the uneven road surface during the operation of the seeder, the uneven seed delivery caused by the increased vibration was verified as disagreement. Using the method of DEM-CFD coupling simulation, the key factors affecting the seeding performance were analyzed, and it was found that the main adsorption attitude was lying flat at different rotating speeds of seed tray; the higher the proportion of lying flat seeds was, the higher the qualified index was, and the side lying seeds and vertical seeds jointly affected the multiple index and the missing index. It was found that the flat seeds at different rotation speeds were the main adsorption attitude, and with the increase of rotation speed, the proportion of lying flat seeds was increased gradually in the range of 1.6~3.6 rad/s. The proportion of big-flat seeds in the side lying posture was increased slightly with the increase of rotation speed of seed plate, and then decreased rapidly to the lowest point of 5%, and then began to increase sharply, when the rotation speed was 4.1 rad/s, accounting for 18%. With the increase of rotation speed, the proportion of oblate seeds in vertical position was firstly decreased and then increased, the highest point was 10%. In the study of the influence of seed adsorption attitude on seed performance, it was found that the higher the proportion of flat seeds was, the higher the qualified index was, the higher the proportion of side seeds was, and the number of multiple index was also increased. The increase of vertical seed proportion would have an impact on missing seeding. It can be seen from the analysis of seeding area that increasing the proportion of normal seeding, reducing the proportion of early seeding and delayed seeding can effectively improve the qualified index, and the different adsorption attitude can affect the timing of seeding, thus affecting the quality of seeding. The best seeding effect was in the area with an angle of 15°~30° with the horizontal position. Finally, wind pressure and rotation tests were carried out in the experiment of speed matching, the single factor tests of speed and wind pressure were carried out respectively, and the range of operation parameters was obtained. Then, the verification tests of speed and wind pressure were carried out. The results showed that increasing the proportion of seeds lying on the ground can effectively improve the seeding quality. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 30

Main heading: Speed

Controlled terms: Adsorption? - ?Quality control? - ?Rotation? - ?Structural dynamics? - ?Wind effects

Uncontrolled terms: Coupling simulation? - ?High-speed operation? - ?Operation parameters? - ?Seed metering devices? - ?Seeding performance? - ?Seeding qualities? - ?Verification tests? - ?Vertical positions

Classification code: 408 Structural Design? - ?443.1 Atmospheric Properties? - ?802.3 Chemical Operations? - ?913.3 Quality Assurance and Control? - ?931.1 Mechanics

Numerical data indexing: Angular_Velocity 1.60e+00rad/s to 3.60e+00rad/s, Angular_Velocity 4.10e+00rad/s, Percentage 1.00e+01%, Percentage 1.80e+01%, Percentage 5.00e+00%

DOI: 10.6041/j.issn.1000-1298.2021.07.004

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

5. Design and Test of Double-side Cleaning Mechanism for Air-suction Maize Seed-metering Device

Accession number: 20213110697368

Title of translation:

Authors: Li, Yuhuan (1, 2); Yang, Li (1, 2); Zhang, Dongxing (1, 2); Cui, Tao (1, 2); He, Xiantao (1, 2); Hu, Heng (1, 2)

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

Corresponding author: Yang, Li(yangli@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: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 29-39

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the problem that the unreasonable design of the clearing mechanism of the air-suction maize seed-metering device, which causes the missing-clearing and over-clearing and reduces the performance of the air-suction maize seed-metering device. A method of using a double-sided seed cleaning mechanism for seed cleaning was presented and a double-sided seed cleaning mechanism was designed. By analyzing the process of seed clearing, the reason of reabsorption was clarified, the movement mechanism of the process of seed clearing was clarified, and the mathematical model of the upper side of the process of seed clearing was established. The shape parameters of the upper seed cleaning mechanism, the interval angle of the upper and lower seed cleaning devices and the lower seed cleaning intensity were determined. The whole factor test was carried out with the first level clear arc top radius, the second level clear arc top radius and the working speed as the main factors. In addition, significant analysis on the test results was performed to determine the regression equation of factors and indicators. Meanwhile, missing-clearing rate and over-clearing rate were used as test indexes. The results showed that the better clearing intensity was determined as the first level clear arc top radius was 80.70 mm, and the second level clear arc top radius was 81.42 mm. The verification test results showed that under the combination of better cleaning intensity, when the rotational speed was 26.67~37.33 r/min, the missing-clearing rate was less than or equal to 1.10%, and the over-cleaning rate was less than or equal to 1.03%, which were consistent with the theoretical optimization results. The comparison test showed that the missing-clearing rate improved at all test working speed. When the rotational speed was 26.67 r/min, compared with single-side seed cleaning mechanism, the missing-clearing rate was reduced by 6.70 percentage points, the over-cleaning rate was basically unchanged, the qualified rate was increased by 7.04 percentage points. When the rotational speed was 32.00 r/min, compared with single-side seed cleaning mechanism, the missing-clearing rate was reduced by 4.63 percentage points, the over-cleaning rate was basically unchanged, the qualified rate was increased by 5.07 percentage points. When the rotational speed was 37.33 r/min, compared with single-side seed cleaning mechanism, the missing-clearing rate was reduced by 7.41 percentage points, the over-cleaning rate was increased by 0.24 percentage points, and the qualified rate was increased by 7.26 percentage points. The double-sided seed cleaning mechanism can effectively reduce the missing-clearing rate and improve the over-cleaning rate at high speed. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 26

Main heading: Cleaning

Controlled terms: Air cleaners? - ?Pneumatic materials handling equipment? - ?Speed? - ?Testing

Uncontrolled terms: Cleaning devices? - ?Design and tests? - ?Movement mechanism? - ?Percentage points? - ?Regression equation? - ?Rotational speed? - ?Shape parameters? - ?Verification tests

Classification code: 451.2 Air Pollution Control? - ?632.4 Pneumatic Equipment and Machinery? - ?802.3 Chemical Operations

Numerical data indexing: Percentage 1.03e+00%, Percentage 1.10e+00%, Rotational_Speed 2.67e+01RPM, Rotational_Speed 2.67e+01RPM to 3.73e+01RPM, Rotational_Speed 3.20e+01RPM, Rotational_Speed 3.73e+01RPM, Size 8.07e-02m, Size 8.14e-02m

DOI: 10.6041/j.issn.1000-1298.2021.07.003

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

6. Improvement of Reference Crop Evapotranspiration Forecasting Based on Numerical Weather Prediction Post Processing

Accession number: 20213110696372

Title of translation:

Authors: Yao, Fuqi (1); Dong, Jianhua (2); Fan, Junliang (3); Zeng, Wenzhi (4); Wu, Lifeng (2)

Author affiliation: (1) School of Hydraulic Engineering, Ludong University, Yantai; 264010, China; (2) School of Hydraulic and Ecological Engineering, Nanchang Institute of Technology, Nanchang; 330099, China; (3) College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling; 712100, China; (4) State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan; 430072, China

Corresponding author: Wu, Lifeng(china.sw@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 293-303

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Reference crop evapotranspiration (ET0) forecasting is of great significance for irrigation decision making and water resources management. ET0 forecasting using numerical weather prediction (NWP) has been proved to be an effective method, but this method usually requires bias correction. A bias correction method (M3) for the forecast weather factors from the global ensemble forecast system (GEFSv2) was established based on the LightGBM machine learning method and the data of nine meteorological stations in Northwest China. In this method, solar radiation, maximum and minimum temperature, relative humidity and wind speed were used to reforecast each meteorological factor respectively, and then ET0 was calculated. The performance of the M3 model was evaluated by equidistant cumulative distribution function (EDCDFm, M1) and LightGBM method (M2) with single meteorological factor as input. The results showed that there was a mismatch between the forecast factors of GEFSv2 and the corresponding observed meteorological factors. The degree of mismatch varied with the meteorological factors. The matching degree of solar radiation was the highest, and relative humidity was the lowest. The newly established M3 model was superior to both M1 and M2 methods in predicting meteorological factors. In terms of ET0 forecasting, the average root mean squared error (RMSE) of M1, M2 and M3 were in the range of 0.66~0.93 mm/d, 0.57~0.83 mm/d and 0.53~0.79 mm/d at nine stations, the mean squared error (MAE) were in the range of 0.44~0.61 mm/d, 0.38~0.56 mm/d and 0.35~0.53 mm/d, and the R2 were 0.82~0.91, 0.84~0.93 and 0.86~0.94, respectively. The error of the three methods were the largest in summer, and the average RMSE from 1 day to 16 days were 1.21 mm/d, 1.18 mm/d and 1.04 mm/d, respectively. Among all forecasting factors, solar radiation had the greatest influence on ET0 forecasting error, followed by wind speed, maximum temperature, relative humidity and minimum temperature. In the post-process, the maximum temperature forecast value of NWP had the largest contribution to the forecast of other factors, while the contribution of relative humidity was the least. It was suggested that data mismatch should be considered in NWP bias correction, and multi-factor correction should be used to improve the prediction accuracy. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 28

Main heading: Weather forecasting

Controlled terms: Crops? - ?Decision making? - ?Distribution functions? - ?Errors? - ?Evapotranspiration? - ?Learning systems? - ?Mean square error? - ?Numerical methods? - ?Solar radiation? - ?Wind

Uncontrolled terms: Cumulative distribution function? - ?Ensemble forecast systems? - ?Machine learning methods? - ?Maximum and minimum temperatures? - ?Numerical weather prediction? - ?Reference crop evapotranspirations? - ?Root mean squared errors? - ?Water resources management

Classification code: 443 Meteorology? - ?443.1 Atmospheric Properties? - ?657.1 Solar Energy and Phenomena? - ?821.4 Agricultural Products? - ?912.2 Management? - ?921.6 Numerical Methods? - ?922.1 Probability Theory? - ?922.2 Mathematical Statistics

Numerical data indexing: Age 2.74e-03yr to 4.38e-02yr

DOI: 10.6041/j.issn.1000-1298.2021.07.031

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

7. Design and Experiment of Auto-follow Row Device for Cotton Topping Machine

Accession number: 20213110697262

Title of translation:

Authors: Zhang, Jinguo (1, 2); Zheng, Chao (1, 2); Zhao, Jin (3); Zhang, Ruixing (4); Zhao, Xizhe (4); Li, Fengtao (4)

Author affiliation: (1) College of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding; 071001, China; (2) Co-Innovation Center for Cotton Industry of Hebei Province, Baoding; 071001, China; (3) Mechanical and Electrical College, Shijiazhuang University, Shijiazhuang; 050031, China; (4) Hebei Shuangtian Machinery Manufacturing Co., Ltd., Dingzhou; 073000, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 93-101

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In view of the development of cotton topping mechanization, it was found that in addition to cutting off the top branch, the highest lateral branch should also be cut off. Although the highest lateral branch will also produce cotton boll, the cotton boll bearing capacity is far lower than that of the lower lateral branch. The topping machine which can cut off the top branch and the highest lateral branch at the same time was designed by some scholars, but the auto-follow row problem was involved, which may result in the highest lateral branch being missed or over hit. Machine-harvested cotton planting patterns were combined, a set of auto-follow row device of cotton topping machine was designed by using sensor technology, motor control technology and PLC control technology. The device was mainly composed of testing mechanism, auto-follow row mechanism, motor control system, electronic control system and control software. RecurDyn software was used to simulate the motion of the testing organization, explore the law of motion, and provide a theoretical basis for the selection of angle sensor. The deviation of cotton plant was obtained by angle sensor, and the corresponding relationship between the rotation angle of detection rod and the stepping and rotation direction of stepper motor were established. The accurate topping of deviation cotton plant was realized by controlling the stepping and rotation direction of stepper motor. In order to improve the driver’s straightness, the control system was monitored in real time through the human machine interface. In order to avoid the disturbance of lateral branches, the position of the main stem was obtained by comparing the position information of the low lateral branches on both sides; for the case of single low side branch, the error can be ignored by field measurement. It was showed that the average deviation of the auto-follow row was reduced by 8.08 cm, 56.62% and the rate of not auto-follow row was increased by 275% by field experiments. In the past, most of the topping machines only used the way of flat cutting to remove the top of the cotton plant, and the inhibition of the highest lateral branch was still controlled by chemical control. Therefore, only the topping machine was highly modeled. A device was designed to cut the top branch and the highest side branch at the same time. The intelligent control technology was integrated into the machine, and the auto-follow row device was designed, so the topping quality of the cotton topping machine was raised. The design had great innovation. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Quality control

Controlled terms: Control systems? - ?Cotton? - ?Man machine systems? - ?Software testing? - ?Stepping motors

Uncontrolled terms: Average deviation? - ?Electronic control systems? - ?Human Machine Interface? - ?Motor control system? - ?PLC control technology? - ?Position information? - ?Rotation directions? - ?Sensor technologies

Classification code: 705.3 Electric Motors? - ?723.5 Computer Applications? - ?731.1 Control Systems? - ?821.4 Agricultural Products? - ?913.3 Quality Assurance and Control

Numerical data indexing: Percentage 2.75e+02%, Percentage 5.66e+01%, Size 8.08e-02m

DOI: 10.6041/j.issn.1000-1298.2021.07.009

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

8. Effect of Grass-crop Rotation Patterns on Soil Bacterial Community Composition in Northern Ningxia

Accession number: 20213110696182

Title of translation:

Authors: Wang, Jing (1); Cheng, Yurun (2); Xiao, Guoju (1); Bi, Jiangtao (1); Zhang, Fengju (1); Xu, Xing (2)

Author affiliation: (1) School of Ecology and Environment, Ningxia University, Yinchuan; 750021, China; (2) School of Agriculture, Ningxia University, Yinchuan; 750021, China

Corresponding author: Xu, Xing(xuxingscience@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 283-292

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming to understand the effects on the improvement of typical saline-alkali land in Northern Ningxia of China under different grass-crop rotation patterns, and on the composition characteristics and influencing factors of the bacterial community microbial diversity of saline-alkali soil, as well as discussing the possible mechanism of grass-crop rotation patterns to improve saline-alkali soil. A positioned experiment of crop and rotation system of Medicago sativa L. was carried out to discuss the effect on the mechanism for improving the saline-alkali soil through implementing different grass-crop rotation patterns, including continuous cropping(AA), fallowing after plowing(AF), rotating with Helianthus annuus L.(AO), Zea may(AC) and Sorghum dochna(AS). Total genomic DNA was isolated from the rhizosphere soils using a power soil DNA isolation kit. Then V4 sections of 16S rDNA were sequenced with the aid of the IlluminaHiSeq high-throughput sequencing technology and the diversity and structure of soil microbial communities in the rhizosphere soils were analyzed with QIIME. The relationship between soil physicochemical factors and bacterial community structure was also analyzed. The results showed that Proteobacteria, Actinobacteria, Acidobacteria were the dominant phylum in different grass-crop rotation patterns. Among them, the number of Proteobacteria was significantly higher in Helianthus annuus L.patternthan that of other grass-crop rotation patterns (P ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 39

Main heading: Soils

Controlled terms: Alkalinity? - ?Bacteria? - ?Crops? - ?pH? - ?Phosphatases? - ?Physicochemical properties? - ?Potassium? - ?Rotation

Uncontrolled terms: Bacterial community structure? - ?Composition characteristics? - ?Comprehensive information? - ?Environmental factors? - ?High-throughput sequencing? - ?Physico-chemical factors? - ?Soil bacterial community? - ?Soil physico-chemical properties

Classification code: 483.1 Soils and Soil Mechanics? - ?549.1 Alkali Metals? - ?801.1 Chemistry, General? - ?804 Chemical Products Generally? - ?821.4 Agricultural Products? - ?931.1 Mechanics

DOI: 10.6041/j.issn.1000-1298.2021.07.030

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

9. Hyperspectral Estimation of Leaf Area Index of Spring Maize under Different Film Mulching Treatments

Accession number: 20213110697116

Title of translation:

Authors: Huang, Xi (1, 2); Yang, Weicai (1, 2); Wei, Xiayong (1, 2); Mao, Xiaomin (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: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 184-194

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Spring maize is the main food crop in the alpine black soil area of Northeast China. As an effective measure to increase the final yield of crops, film mulching has the potential to be widely used in Northeast China. In order to monitor leaf area index (LAI) of spring maize under film mulching in real time and explore the influence of film mulching factors on LAI and hyperspectral reflectance of canopy, field experiments were carried out in the black soil area of Northeast China in 2019. In the experiments, three treatments, including no film mulching (M0), degradable film mulching (M1), and conventional plastic film mulching (M2) were tested. The hyperspectral reflectance data of each growth stage were obtained by hyperspectral remote sensing technology. After pre-processing the spectral data, the sensitive bands, sensitive vegetation indices and characteristic indexes of the LAI values of each film mulching treatment were extracted by correlation analysis, and the hyperspectral estimating models of LAI during the whole growth period were constructed. The results showed that the effect of film mulching on LAI was mainly before the tasseling stage. The difference in LAI between film mulching and non-mulching treatments under the same fertilization level showed a trend of first decreasing and then increasing with the growing of maize. The difference of LAI in seedling stage was the largest, and the LAI was increased by 78% under film mulching condition. The difference in hyperspectral reflectance of canopies was the largest in the middle growth period, followed by the end of growth period, and the smallest in the early growth period. Film mulching mainly affected the absorption of green and red lights by maize. The sensitive hyperspectral parameters of LAI values were different among the different film mulching treatments. Among the LAI estimation models established based on the three sensitive hyperspectral parameters (mentioned above), the models established based on the characteristic indexes had relatively high accuracy for LAI inversion results. Their fitting and verification determination coefficient R2 were above 0.80, the root mean square error RMSE were between 0.45 cm2/cm2 and 0.66 cm2/cm2, and the residual prediction deviation RPD were greater than 2. Film mulching had impact on LAI inversion, the inversion accuracy of LAI without film mulching was higher than that with film mulching. Model based on characteristic index was the best to monitor LAI of all treatments. Based on the characteristic index NI(722, 731) showed the superiority of inversion, which was stable, accurate and effective for all film mulching treatments. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 48

Main heading: Plants (botany)

Controlled terms: Crops? - ?Data handling? - ?Mean square error? - ?Reflection? - ?Remote sensing

Uncontrolled terms: Characteristic indices? - ?Correlation analysis? - ?Determination coefficients? - ?Effective measures? - ?Hyperspectral reflectance? - ?Hyperspectral remote sensing technology? - ?Plastic film mulching? - ?Root mean square errors

Classification code: 723.2 Data Processing and Image Processing? - ?821.4 Agricultural Products? - ?922.2 Mathematical Statistics

Numerical data indexing: Percentage 7.80e+01%

DOI: 10.6041/j.issn.1000-1298.2021.07.019

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

10. Leaf Area Index Estimation of Masson Pine (Pinus massoniana) Forests Based on Multispectral Remote Sensing of UAV

Accession number: 20213110696835

Title of translation:

Authors: Yao, Xiong (1, 2); Yu, Kunyong (2, 3); Liu, Jian (2, 3)

Author affiliation: (1) College of Architecture and Urban Planning, Fujian University of Technology, Fuzhou; 350118, China; (2) University Key Laboratory for Geomatics Technology and Optimize Resources Utilization in Fujian Province, Fuzhou; 350002, China; (3) College of Forestry, Fujian Agriculture and Forestry University, Fuzhou; 350002, China

Corresponding author: Liu, Jian(fjliujian@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 213-221

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Fast, accurate and non-destructive estimation of the leaf area index (LAI) of Masson pine forest is of great significance for precise forestry management. In order to estimate LAI of Masson pine forest, the small low-altitude unmanned aerial vehicle (UAV) platform with the American MicaSense RedEdge multi-spectral sensor was used to obtain the multi-spectral image in western Fujian. Eight different kinds of vegetation indices, green normalized vegetation index (GNDVI), green ratio vegetation index (GRVI), modified soil adjusted vegetation index (MSAVI), normalized difference vegetation index (NDVI), renormalized difference vegetation index (RDVI), ratio vegetation index (RVI), structure insensitive pigment index (SIPI) and visible atmospherically resistant index (VARI) were calculated from imagines with seven spatial resolutions (0.08 m, 0.1 m, 0.2 m, 0.5 m, 1 m, 2 m and 5 m). The correlation between ground-measured LAI and different vegetation indices from different spatial resolutions imagines were analyzed. Five models, linear regression (LR), multiple stepwise (MSR), random forest (RF), support vector machine (SVM) and artificial neural network (BP) were used to construct LAI estimation model, and coefficients of determination (R2), root mean square errors (RMSE), residual predictive deviation (RPD) and total accuracy (TA) were used to determine the optimal spatial resolution and optimal model for computing Masson pine forest LAI. The results showed that LAI values and vegetation indices from different spatial resolutions imagines were significantly correlated (p2 average values of the multivariate models (MSR, RF, SVM, BP) were higher than that of the LR model. The R2 of different models was generally increased first and then decreased with the increase of spatial resolution. RF model was the optimal model for Masson pine forest when the spatial resolution was 0.5 m. The highest accuracy for RF model with R2 of 0.766 for calibration, and with R2 of 0.554, RMSE of 0.421, RPD of 1.523, and TA of 81.95% for validation. The research result can provide a theoretical reference for the spatial resolution and model selection in the inversion of forest LAI phenotypic parameters by UAV multi-spectral remote sensing image. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 34

Main heading: Vegetation

Controlled terms: Antennas? - ?Backpropagation? - ?Decision trees? - ?Forestry? - ?Image resolution? - ?Mean square error? - ?Neural networks? - ?Random errors? - ?Remote sensing? - ?Spectroscopy ? - ?Support vector machines? - ?Support vector regression? - ?Unmanned aerial vehicles (UAV)

Uncontrolled terms: Multispectral images? - ?Multispectral remote sensing? - ?Multispectral sensors? - ?Normalized difference vegetation index? - ?Ratio vegetation indices? - ?Remote sensing images? - ?Root mean square errors? - ?Visible atmospherically resistant indices

Classification code: 652.1 Aircraft, General? - ?723 Computer Software, Data Handling and Applications? - ?723.4 Artificial Intelligence? - ?922.2 Mathematical Statistics? - ?961 Systems Science

Numerical data indexing: Percentage 8.20e+01%, Size 1.00e+00m, Size 1.00e-01m, Size 2.00e+00m, Size 2.00e-01m, Size 5.00e+00m, Size 5.00e-01m, Size 8.00e-02m

DOI: 10.6041/j.issn.1000-1298.2021.07.022

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

11. Coupling Separation Simulation Analysis and Test of Corn Stalk Rind-pith Based on Abaqus

Accession number: 20213110696417

Title of translation: Abaqus

Authors: Huang, Wanyuan (1); Ren, Dezhi (1); Gong, Yuanjuan (1); Bai, Xuewei (1); Chi, Hao (2); Liu, Chengwei (2)

Author affiliation: (1) College of Engineering, Shenyang Agricultural University, Shenyang; 110866, China; (2) Shenyang GridSim Technology Ltd., Co., Shenyang; 110866, China

Corresponding author: Gong, Yuanjuan(yuanjuangong@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 124-133

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Corn stalk is a kind of biomass resource that can be developed and utilized, with its comprehensive utilization can stabilize the balance of agricultural ecology and alleviate the pressure of energy and environment. In China, corn stalk is rich in yield and widely used. Because the mixed existence of rind and pith will affect its utilization effect, corn stalk rind-pith separation is an effective way to increase the use ratio of this biomass resource. Based on dynamic explicit solver of Abaqus in conjunction with central difference algorithm, both of rind-pith separation coupling modes differential directions rolling compaction and anisotropic pound-cutting with rolling compaction were simulated and analyzed to improve the rind-pith separation rate and promote the process of high value utilization of corn stalk. The simulation results showed that the breaking forms of the two separation modes were mainly tensile breaking and the breaking process was similar; differential directions rolling compaction method just made pith and rind de-bonding and did not realize separation of them, but anisotropic pound-cutting with rolling compaction can do it. Considering the practical application of the separated pith and rind of corn stalk, anisotropic pound-cutting with rolling compaction was selected as the best separation mode applying to corn stalk rind-pith separation test bench and used to determine the best working and structural parameters. Orthogonal regression combination test was used to optimize the working parameters of the test bench, taking cutting disks rotation speed, peeling rollers rotation speed and blade sliding angle as test factors, stalk rind-pith separation rate as test index and corn stalk of 1st~7th nodes as research object. After applying the variance analysis and the response surface analysis, regression models between factors and index was established by using the data processing software Design-Expert. Results showed that the cutting disks rotation speed, blade sliding angle the interaction between two previous factors, cutting disks rotation speed and peeling rollers rotation speed had significant effect on the stalk rind-pith separation rate; the significance sequence of influencing factors was blade sliding angle, cutting disks rotation speed and peeling rollers rotation speed. After optimizing the parameters of the model, it indicated that the maximum corn stalk rind-pith separation rate was 88% and segment length of corn stalk was 27 mm under the optimal working parameters combination of cutting disks rotation speed was 449 r/min, peeling rollers rotation speed was 226 r/min and blade sliding angle was 46°. The actual production demand was met and guidance for the design of corn stalk rind-pith separator was provided. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 31

Main heading: Separation

Controlled terms: ABAQUS? - ?Agricultural robots? - ?Anisotropy? - ?Compaction? - ?Data handling? - ?Disks (structural components)? - ?Ecology? - ?Regression analysis? - ?Rollers (machine components)? - ?Rotation ? - ?Software design? - ?Speed? - ?Surface analysis? - ?Testing

Uncontrolled terms: Compaction methods? - ?Comprehensive utilizations? - ?Coupling separation? - ?Data processing software? - ?Energy and environment? - ?Orthogonal regression? - ?Response surface analysis? - ?Structural parameter

Classification code: 408.2 Structural Members and Shapes? - ?454.3 Ecology and Ecosystems? - ?601.2 Machine Components? - ?723 Computer Software, Data Handling and Applications? - ?802.3 Chemical Operations? - ?921 Mathematics? - ?922.2 Mathematical Statistics? - ?931.1 Mechanics? - ?931.2 Physical Properties of Gases, Liquids and Solids? - ?951 Materials Science

Numerical data indexing: Percentage 8.80e+01%, Rotational_Speed 2.26e+02RPM, Rotational_Speed 4.49e+02RPM, Size 2.70e-02m

DOI: 10.6041/j.issn.1000-1298.2021.07.012

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

12. Estrus Behavior Recognition of Dairy Cows Based on Improved YOLO v3 Model

Accession number: 20213110696231

Title of translation: YOLO v3

Authors: Wang, Shaohua (1, 2); He, Dongjian (1, 2)

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

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: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 141-150

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming to improve the detection accuracy and speed of estrus behavior of dairy cows in a complex scene, a method of recognizing estrus behavior of dairy cows based on improved YOLO v3 model was proposed. To solve the problem of the cows’ size was inconsistent with the size of the object in the COCO dataset, which caused the original anchors were not applicable, new anchors were obtained by clustering new data sets and optimized by using linear expansion. As cows with a big size, the small difference between individuals and associations between behaviors, which was difficult to distinguish, a DenseBlock structure was introduced to the feature extraction network of YOLO v3 model to improve its detection performance on the large objects. Considered that the original bounding box loss function of YOLO v3 model was not invariant to the object scale, the FIoU and the center distance Dc of two boxes were used as the measuring method, and a new bounding box loss function was proposed to make it scale-invariant. Totally 50 images were extracted each from 96 video mounting behavior clips of dairy cows, according to the uncertainty position of cows’ mounting behavior in the active area and the character of the light changing of the active area, horizontally flipped, rotated ±15° and random brightness enhancement (decrease) were applied on them for data augmentation. The augmented data was divided into three parts as training sets, validation sets, and test sets, training sets and validation sets were used to train the improved model and the best training model was chosen as dairy cow estrus behavior recognition model with the indicators F1, mAP, accuracy rate P, and recall rate R. The experiment on test sets showed that the accuracy rate of the model was 99.15%, the recall rate was 97.62%, and the processing speed reached 31 f/s, which could accurately and real-time identify cows’ estrus behavior in a complex breeding environment under all weather. The research could also provide a reference for other large livestock behavior recognition. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 27

Main heading: Behavioral research

Controlled terms: Agriculture? - ?Anchors? - ?Complex networks? - ?Feature extraction? - ?Image enhancement? - ?Image segmentation

Uncontrolled terms: Behavior recognition? - ?Breeding environments? - ?Data augmentation? - ?Detection accuracy? - ?Detection performance? - ?Linear expansions? - ?Measuring method? - ?Processing speed

Classification code: 671.2 Ship Equipment? - ?722 Computer Systems and Equipment? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?971 Social Sciences

Numerical data indexing: Percentage 9.76e+01%, Percentage 9.92e+01%

DOI: 10.6041/j.issn.1000-1298.2021.07.014

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

13. Spatio-temporal Variation of Canopy Characteristic Temperature in Solar Greenhouse

Accession number: 20213110696435

Title of translation:

Authors: Zhang, Junhua (1, 2); Shen, Kaicheng (1, 2); Chen, Danyan (1, 2); Zhang, Mingke (3); Zhang, Haihui (1, 4); Hu, Jin (1, 2)

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

Corresponding author: Hu, Jin(hujin007@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: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 335-342

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming to explore the pattern of crop canopy temperature change and spatial location distribution characteristics, so as to realize the reasonable deployment of the greenhouse temperature monitoring scheme to prevent the occurrence of local chilling injury of crops in solar greenhouses. A 40-channel high-precision temperature field monitoring system were deployed to collect the tomato canopy temperature in the winter in a northwest solar greenhouse. The Kriging interpolation algorithm was used to interpolate the collected data to obtain a temperature field model. And the temperature extreme value feature points of the temperature field model were obtained based on differential evolution (DE) algorithm. The spatio-temporal variations of canopy characteristic temperature under different weather conditions were analyzed. The results showed that the R2 values of interpolation in sunny, cloudy and overcast (rainy) days were more than 0.94, and values of the average root mean square error (RMSE) were 1.34, 0.95 and 0.40, respectively. The algorithm was more suitable for the interpolation of low temperature canopy temperature field in overcast (rainy) days and night. Under different weather conditions, the greenhouse canopy temperature showed a trend of higher west and lower east, higher inside and lower outside, and the overall change of the temperature in the greenhouse tended to be consistent in the overcast (rainy) days. After the exposure of sunny and cloudy weather, the indoor temperature distribution was quite different due to external light radiation, and the temperature decrease at night in sunny days was greater than that in overcast (rainy) days. The results of further analysis of the distribution of canopy extreme points showed that under different weather conditions, the distribution of extreme characteristic points in the solar greenhouse was basically the same, and the highest temperature points of the canopy mainly appeared near the middle of the greenhouse[22.0 m, 2.5 m]. The lowest temperature points mainly appeared near the outer film of the eastern part of the greenhouse[4.0 m, 5.48 m]. The acquisition of canopy extreme characteristic points in solar greenhouse provided a theoretical basis for greenhouse cultivation, temperature disaster monitoring and sensor deployment. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 29

Main heading: Greenhouses

Controlled terms: Crops? - ?Evolutionary algorithms? - ?Interpolation? - ?Mean square error? - ?Meteorology? - ?Optimization? - ?Solar heating? - ?Temperature

Uncontrolled terms: Canopy characteristics? - ?Differential evolution algorithms? - ?Distribution characteristics? - ?Greenhouse temperature? - ?Kriging interpolation? - ?Root mean square errors? - ?Spatio-temporal variation? - ?Temperature field model

Classification code: 641.1 Thermodynamics? - ?657.1 Solar Energy and Phenomena? - ?821.4 Agricultural Products? - ?821.6 Farm Buildings and Other Structures? - ?921.5 Optimization Techniques? - ?921.6 Numerical Methods? - ?922.2 Mathematical Statistics

DOI: 10.6041/j.issn.1000-1298.2021.07.036

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

14. Automated 3D Reconstruction of Leaf Lettuce Based on Kinect Camera

Accession number: 20213110696822

Title of translation: Kinect

Authors: Zheng, Lihua (1); Wang, Luhan (1); Wang, Minjuan (1); Ji, Ronghua (1)

Author affiliation: (1) Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, 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: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 159-168

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the problems such as manual adjustment of parameters during traditional three-dimensional (3D) point cloud reconstruction process which is time-consuming and laborious, and the registration accuracy was not guaranteed, a 3D point cloud automatic registration algorithm was proposed and applied to the 3D reconstruction research of leaf lettuce. Firstly, a Kinect camera was used to collect point cloud data from different perspectives of the leaf lettuce. Secondly, the changing patterns of parameters during the registration process were investigated through a large number of registration experiments, and accordingly each parameter’s initial value was determined due to its most positive impact to the result. Thirdly, a registration evaluation system was established, which included the inner point overlap rate, point dispersion degree and initial registration distance error, so that the automatic registration algorithm of two point clouds were implemented. Finally, based on point cloud automatic registration algorithm, a leaf lettuce point cloud 3D reconstruction was achieved because the accumulation errors were minimized through two adjacent point clouds’ automatic registration. And then the obtained point clouds were converted to the same target coordinate system therefore the leaf lettuce 3D point cloud was reconstructed. The automatic three-dimensional reconstruction experiment was carried out on 12 lettuce plants, and the results showed that under the premise, the overlap of two point clouds was not less than 30%, the automatic registration algorithm can get the optimal parameter combination by applying the registration evaluation system; the average registration error of global registration was 0.65 cm, the average registration efficiency was 44.05 s, and the algorithm greatly improved the accuracy and stability of registration; the leaf lettuce point cloud 3D reconstruction algorithm can effectively reduce the registration error accumulation, and provide complete structural and morphological data for further measurement of plant phenotypic parameters, and it can be used in other plants’ 3D reconstruction and phenotype researches. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 28

Main heading: Image reconstruction

Controlled terms: Cameras? - ?Errors? - ?Parameter estimation

Uncontrolled terms: 3-D reconstruction algorithms? - ?Automated 3D-reconstruction? - ?Automatic registration? - ?Automatic registration algorithm? - ?Optimal parameter combinations? - ?Reconstruction process? - ?Registration efficiencies? - ?Three-dimensional reconstruction

Classification code: 742.2 Photographic Equipment

Numerical data indexing: Percentage 3.00e+01%, Size 6.50e-03m, Time 4.40e+01s

DOI: 10.6041/j.issn.1000-1298.2021.07.016

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

15. Design and Test of Air Suction Directional Transplanting Device for Panax notoginseng Seedlings Based on DEM-CFD Coupling

Accession number: 20213110696127

Title of translation: DEM-CFD

Authors: Lai, Qinghui (1); Zhao, Jinwen (1); Su, Wei (1); Jia, Guangxin (1); Li, Junhong (1); Lü, Qin (1)

Author affiliation: (1) College of Agriculture and Food, Kunming University of Science and Technology, Kunming; 650500, China

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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 60-70

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the orientation problem of Panax notoginseng seedling and realize mechanized transplanting, air suction directional transplanting device of Panax notoginseng seedling assisted by vibration was designed. The mechanism of seedling adsorption posture adjustment was clarified based on the stress analysis of adsorption state of seedlings and the process under the action of lifting force, the seedlings generated rotation torque to realize posture adjustment. The process of seedling adsorption attitude adjustment was analyzed and the feasibility of posture adjustment was verified by seedling adsorption through DEM-CFD gas solid two phase flow coupling simulation. And the results showed that when the angle between the main suction hole and the auxiliary positioning suction hole was 23° and the angle between the attitude adjustment and steering suction hole was 30°, the posture of those seedlings can be adjusted and positioned by the raising force produced by the pressure difference on them. To test the performance of directional transplanting device, the quadratic regression orthogonal rotary combination bench tests were carried out, with the negative pressure value of main suction hole, rotating speed of dynamic sucker and diameter of suction hole for attitude adjustment and steering as experimental factors, the directional qualified index and missing planting index as indicators. As the results shown, factors arranged in important order were as follows: diameter of suction hole for attitude adjustment and steering, rotating speed of dynamic sucker, negative pressure value of main suction hole. The diameter of suction hole for attitude adjustment and steering was 4.5 mm, the negative pressure of main suction hole was 1.03~2.11 kPa, the rotating speed of the dynamic sucker was 4.67~6.08 r/min, the directional qualification index was 85.87%, the missing planting index was 6.33%, which satisfied the needs of transplanting of Panax notoginseng. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 32

Main heading: Two phase flow

Controlled terms: Adsorption? - ?Computational fluid dynamics? - ?Rotating machinery? - ?Stress analysis

Uncontrolled terms: Experimental factors? - ?Gas solid two phase flow? - ?Negative pressure value? - ?Negative pressures? - ?Posture adjustment? - ?Pressure differences? - ?Quadratic regression? - ?Transplanting devices

Classification code: 601.1 Mechanical Devices? - ?631.1 Fluid Flow, General? - ?723.5 Computer Applications? - ?802.3 Chemical Operations? - ?951 Materials Science

Numerical data indexing: Percentage 6.33e+00%, Percentage 8.59e+01%, Pressure 1.03e+03Pa to 2.11e+03Pa, Rotational_Speed 4.67e+00RPM to 6.08e+00RPM, Size 4.50e-03m

DOI: 10.6041/j.issn.1000-1298.2021.07.006

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

16. Effects of Irrigation Water Salinity and Irrigation Water Amount on Greenhouse Gas Emissions and Spring Maize Growth

Accession number: 20213110697266

Title of translation:

Authors: Wei, Chenchen (1); Ren, Shumei (1); Xu, Ziang (2); Zhang, Meitao (1); Wei, Rong (3); Yang, Peiling (1)

Author affiliation: (1) College of Water Resources and Civil Engineering, China Agricultural University, Beijing; 100083, China; (2) Wuhan Qingshan District Water and Lakes Bureau, Wuhan; 430080, China; (3) Beijing Daxing Water Resources Bureau, Beijing; 102600, China

Corresponding author: Yang, Peiling(yangpeiling@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 251-260 and 236

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to reveal the effects of irrigation water amount on soil CO2, N2O emissions and spring maize growth under groundwater and brackish water irrigation, two kinds of irrigation water salinity (1.1 g/L and 5.0 g/L) and three kinds of irrigation water amounts (210 mm, 255 mm and 300 mm) were set up in Hetao Irrigation District from April to September, 2019. The results showed that compared with groundwater (1.1 g/L) irrigation, soil N2O emissions were increased by 19.86%~44.21% under brackish water (5.0 g/L) irrigation, but irrigation water salinity did not affect soil CO2 emissions and global warming potential (GWP). Under the same irrigation water salinity conditions, cumulative CO2 emissions, cumulative N2O emissions and GWP were the largest when the irrigation water amount was 300 mm, and the cumulative CO2 emissions, cumulative N2O emissions and GWP were not significantly affected by the irrigation water amount of 210 mm and 255 mm. The results of correlation analysis showed that soil moisture and inorganic nitrogen content were important factors affecting soil CO2 and N2O emissions, and irrigation water salinity promoted soil N2O emissions by promoting soil nitrification. The yield of spring maize under brackish water (5.0 g/L) irrigation was 30.88%~37.32% lower than that under groundwater (1.1 g/L) irrigation. The yield of spring maize was increased with the increase of irrigation water amount, but there was no significant difference under the irrigation water amount of 255 mm and 300 mm. Under the condition of groundwater (1.1 g/L) and brackish water (5.0 g/L) irrigation, when the irrigation water amount was 255 mm, the soil salt accumulation was smaller, while the higher spring maize yield was obtained, and the cumulative CO2 and N2O emissions and GWP were relatively small, which was the suitable irrigation quota for Hetao Irrigation District. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 37

Main heading: Irrigation

Controlled terms: Carbon dioxide? - ?Gas emissions? - ?Global warming? - ?Greenhouse gases? - ?Groundwater? - ?Soil moisture? - ?Soil pollution

Uncontrolled terms: Brackish water? - ?CO2 emissions? - ?Correlation analysis? - ?Global warming potential? - ?Hetao irrigation districts? - ?Inorganic nitrogen? - ?Irrigation quotas? - ?Irrigation waters

Classification code: 443.1 Atmospheric Properties? - ?444.2 Groundwater? - ?451.1 Air Pollution Sources? - ?483.1 Soils and Soil Mechanics? - ?804.2 Inorganic Compounds? - ?821.3 Agricultural Methods

Numerical data indexing: Mass_Density 1.10e+00kg/m3, Mass_Density 5.00e+00kg/m3, Size 2.10e-01m, Size 2.55e-01m, Size 3.00e-01m

DOI: 10.6041/j.issn.1000-1298.2021.07.027

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

17. Structural Optimization Design of Packing Material for Waste Gas Purification System of Pig House

Accession number: 20213110697244

Title of translation:

Authors: Wang, Yu (1, 2); Mu, Jian (1, 2); Zeng, Zhixiong (1, 2); Lü, Enli (1, 2); Liu, Xijia (1); Tu, Bin (1)

Author affiliation: (1) College of Engineering, South China Agricultural University, Guangzhou; 510642, China; (2) Key Laboratory of Key Technology on Agricultural Machine and Equipment, Ministry of Education, South China Agricultural University, Guangzhou; 510642, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 329-334

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The structure of packing material was designed for waste gas purification system of pig house, and structural mechanical properties and purification space requirements were both considered in the designing process. The packing material was regarded as a kind of periodic structure, and the topology of the cell structure was optimized based on a multi-objective optimization method that combined the reverse homogenization method and the parametric level set method. In the optimization design, the maximum effective bulk modulus and the maximum effective permeability of the packing material were taken as the optimization objectives, and the effective porosity was taken as the constraint. The maximum values of effective bulk modulus and effective permeability coefficient were obtained by Hashin-Shtrikman property boundary. Pareto optimization method was used to achieve the Pareto optimal solution satisfying the multi-objective conditions. Three numerical examples achieved structural designs of the packing material under different porosities, and the feasibility and correctness of the proposed design method was verified by experiments. The experimental data showed that the pressure difference between front and rear of the packing material was inversely proportional to the porosity of the packing structure and directly proportional to the inlet wind speed. When the porosities of packing material were 80%, 85% and 90%, the average ammonia removal efficiencies were 66%, 62% and 58%, respectively. The research result can provide a reference for the design of the packing structure for waste gas purification system, and the proper packing material can be selected according to the actual requirement of wind resistance and purification efficiency in different pig houses. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Structural optimization

Controlled terms: Air purification? - ?Ammonia? - ?Efficiency? - ?Elastic moduli? - ?Gas fuel purification? - ?Homogenization method? - ?Houses? - ?Mammals? - ?Multiobjective optimization? - ?Numerical methods ? - ?Packaging? - ?Pareto principle? - ?Porosity? - ?Shape optimization? - ?Structural design? - ?Wind

Uncontrolled terms: Effective bulk modulus? - ?Effective permeability? - ?Parametric level-set? - ?Pareto optimal solutions? - ?Pressure differences? - ?Purification efficiency? - ?Purification systems? - ?Structural optimization design

Classification code: 402.3 Residences? - ?408.1 Structural Design, General? - ?443.1 Atmospheric Properties? - ?522 Gas Fuels? - ?643 Space Heating, Ventilation and Air Conditioning? - ?694.1 Packaging, General? - ?804.2 Inorganic Compounds? - ?913.1 Production Engineering? - ?921 Mathematics? - ?931.2 Physical Properties of Gases, Liquids and Solids? - ?951 Materials Science

Numerical data indexing: Percentage 5.80e+01%, Percentage 6.20e+01%, Percentage 6.60e+01%, Percentage 8.00e+01%, Percentage 8.50e+01%, Percentage 9.00e+01%

DOI: 10.6041/j.issn.1000-1298.2021.07.035

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

18. Parameter Optimization and Experiment on Double Duct System of Air-screen Separating and Cleaning Machine for Flax Threshing Material

Accession number: 20213110696287

Title of translation:

Authors: Dai, Fei (1); Zhao, Wuyun (1); Fu, Qiufeng (2); Song, Xuefeng (1); Shi, Ruijie (1); Li, Yanwei (2)

Author affiliation: (1) College of Mechanical and Electrical Engineering, Gansu Agricultural University, Lanzhou; 730070, China; (2) Jiuquan OK Seed Machinery Co., Ltd., Jiuquan; 735000, 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: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 83-92

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Flax is one of the important oil crops in Northwest China, and Gansu Province is one of the main producing areas of flax. To enhance the mechanization level of separating and cleaning of flax threshing materials, a double duct system of air-screen separating and cleaning machine was designed for flax threshing material. For further study of the improved working performance of double duct system of air-screen separating and cleaning machine for flax threshing material, the single factor parameters obtained with the analysis were determined by practical test method and discrete element simulation, the Box-Behnken experimental design with three factors and three levels was performed, parameters such as vibration frequency of screen box, air volume adjustment gear in front duct and air volume adjustment gear in rear duct were selected as independent variables, which could influence the seed impurity rate and the cleaning loss rate. The mathematical model was established, and then the effects of various parameters and their interactions were analyzed as well. The test results showed that effects orders of three parameters on the seed impurity rate and the cleaning loss rate were as follows: vibration frequency of screen box, air volume adjustment gear in front duct and air volume adjustment gear in rear duct. The optimal working parameters were as follows: the vibration frequency of screen box was 2 Hz, the front duct air volume control handle in 2 gear and the rear duct air volume control handle in 4.5 gear. Confirmatory tests showed that the average value of the seed impurity rate and the cleaning loss rate were 0.98% and 2.66%, which were dropped significantly compared with that before the optimization, the degree of impurity and loss of flax threshing material in mechanized separation and cleaning could be reduced under the condition of optimizing working parameters, and compared with the single air separation method, the operation effect was significantly promoted. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 20

Main heading: Ducts

Controlled terms: Agriculture? - ?Air cleaners? - ?Cleaning? - ?Flax? - ?Impurities? - ?Linen? - ?Machinery? - ?Separation? - ?Testing? - ?Vibration analysis

Uncontrolled terms: Box-Behnken experimental design? - ?Confirmatory test? - ?Discrete element simulation? - ?Independent variables? - ?Parameter optimization? - ?Vibration frequency? - ?Working parameters? - ?Working performance

Classification code: 451.2 Air Pollution Control? - ?802.3 Chemical Operations? - ?819.1 Natural Fibers? - ?819.5 Textile Products and Processing? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?951 Materials Science

Numerical data indexing: Frequency 2.00e+00Hz, Percentage 2.66e+00%, Percentage 9.80e-01%

DOI: 10.6041/j.issn.1000-1298.2021.07.008

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

19. Static Task Allocation for Multi-machine Cooperation Based on Multi-variation Group Genetic Algorithm

Accession number: 20213110696211

Title of translation:

Authors: Wang, Meng (1); Zhao, Bo (1); Liu, Yangchun (1); Wang, Fengzhu (1); Wei, Liguo (1); Fang, Xianfa (1)

Author affiliation: (1) 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: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 19-28

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Agricultural machinery cooperative operation often face the situation that multiple agricultural machines work together to complete multiple tasks in a working season. Reasonable task allocation before the operation can significantly improve the efficiency of the group’s operations and shorten the operating time.In order to solve the problem of static task allocation for multi-machine cooperation of the same kind of agricultural machinery, a static task allocation method of multi-machine cooperation based on multi-variation group genetic algorithm (MGGA)was studied. Firstly, according to the operation mode of agricultural machinery cooperatives and considering the operating time, the operating fuel consumption and the distance cost of the group comprehensive, a multi-machine cooperative cost function was established based on agricultural machine performance and task parameters. Secondly, based on the characteristics of multi-machine cooperative operation, a MGGA was designed and a static multi-machine cooperative task allocation model was established. Then, simulation experiment was carried out to compare and analyze the performance of the algorithm. And different weights were used for task allocation simulation experiments. Finally, practical experiment was carried out with different weights to verify the practicability of the algorithm by assigning tasks to actual deep loosening operations. Practical experiment results showed that the MGGA based task assignment multi-machine collaboration cost was 29.48%~55.00% lower than the actual work cost, which indicated that the MGGA based agricultural multi-machine cooperative static task allocation method had better distribution efficiency and higher distribution performance, and met the requirements of actual needs of agricultural multi-machine cooperative task allocation. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 26

Main heading: Genetic algorithms

Controlled terms: Agricultural machinery? - ?Agricultural robots? - ?Agriculture? - ?Cost functions? - ?Efficiency

Uncontrolled terms: Agricultural machine? - ?Collaboration cost? - ?Compare and analyze? - ?Cooperation based? - ?Cooperative operation? - ?Cooperative tasks? - ?Distribution efficiency? - ?Loosening operations

Classification code: 821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.1 Agricultural Machinery and Equipment? - ?913.1 Production Engineering? - ?921.5 Optimization Techniques

DOI: 10.6041/j.issn.1000-1298.2021.07.002

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

20. Design Method of Transplanting Mechanism of Planetary Gear Train Based on Spatial Trajectory

Accession number: 20213110696320

Title of translation:

Authors: Wang, Lei (1); Sun, Liang (1, 2); Xu, Yadan (3); Yu, Gaohong (1, 2); Zhang, Wei (1); Zheng, Jian (4)

Author affiliation: (1) Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou; 310018, China; (2) Zhejiang Province Key Laboratory of Transplanting Equipment and Technology, Hangzhou; 310018, China; (3) Hangzhou Vocational and Technical College, Hangzhou; 310018, China; (4) Hangzhou Hangyang Turbine Machinery Co., Ltd., Hangzhou; 310004, China

Corresponding author: Sun, Liang(liangsun@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: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 51-59

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: A reverse design method for transplanting mechanism of unequal speed planetary gear train based on general spatial continuous closed trajectory was proposed in order to make the planetary gear train transplanting mechanism achieve a complex spatial trajectory and better meet the agronomic requirements for transplanting rice seedlings in wide and narrow rows. First of all, the planetary gear train transplanting mechanism was simplified as a spatial three-bar two-degree-of-freedom (2R) open-loop mechanism, and the ideal transplanting trajectory curve fitted by the cubic non-uniform B-spline curve was used as a constraint to establish a spatial 2R mechanism kinematics model, the formation mechanism of the terminal trajectory was analyzed, the rod length and the relative position relationship between the rotation axis of the mechanism were solved by using the spatial geometric relationship. Secondly, the total transmission ratio of the planetary gear train mechanism was obtained from the relative angular displacement relationship between the input and output axes. The degrees of freedom of the spatial 2R mechanism were reduced by attaching to the unequal speed gear pair. The transmission ratio distribution and the pitch curve of the non-circular gear were designed according to the combination type of the gear pair. Finally, based on the spatial “8” shaped transplanting trajectory, a transplanting mechanism of rice seedling with wide and narrow rows driven by plane non-circular gear and bevel gear was designed in the application example, and the virtual prototype simulation and physical prototype test were carried out. The results showed that the simulation trajectory and test trajectory were basically consistent with the given trajectory, which verified the correctness and feasibility of the theoretical method. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Trajectories

Controlled terms: Bevel gears? - ?Curve fitting? - ?Degrees of freedom (mechanics)? - ?Design? - ?Epicyclic gears? - ?Transmissions

Uncontrolled terms: Angular displacement? - ?Application examples? - ?Geometric relationships? - ?Planetary gear train? - ?Theoretical methods? - ?Transplanting mechanisms? - ?Two-degree of freedom? - ?Virtual prototype simulation

Classification code: 601.2 Machine Components? - ?602.2 Mechanical Transmissions? - ?921.6 Numerical Methods? - ?931.1 Mechanics

DOI: 10.6041/j.issn.1000-1298.2021.07.005

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

21. Collision Point Detection of Robot Body Based on Six-axis Force/Torque Sensor

Accession number: 20213110697172

Title of translation:

Authors: Wang, Zhijun (1, 2); Liu, Lu (1, 2); Li, Zhanxian (1, 2)

Author affiliation: (1) School of Mechanical Engineering, North China University of Science and Technology, Tangshan; 063210, China; (2) Industrial Robotics Research Institute of Hebei Province, Tangshan; 063210, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 395-401 and 410

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the shortcomings of the skin force sensor to detect the collision point of the robot, a method using the six-axis force/torque sensor to detect the collision point of the robot body was proposed. The sensor-collected data was used for self-constraint, without relying on the geometric information of the collision body surface. The space collision external force vector line was firstly projected into the optimal plane for preliminary solution, and finally brought into the original equation to solve the collision point. In order to ensure that the absolute error of the calculation result was the smallest, an error factor was introduced. In terms of data preprocessing, a dynamic force compensation algorithm was proposed to ensure that the six-axis force/torque sensor at the base had a constant reading of zero when there was no external force collision during the robot movement. The robot can be considered collide with the outside world when the sensor value exceeded a certain threshold. Finally, a simulation experiment was performed on the proposed algorithm. The experimental results showed that the maximum error of the dynamic force compensation algorithm was 4.892 5%, and the collision point detection algorithm had the largest error at the experimental distance of 598.61 mm, which was 8.711 9%. The experimental results showed that the accuracy of the proposed dynamic force compensation algorithm was not changed significantly as the distance of the collision point was increased, but the relative error of the collision point detection algorithm was increased with the increase of the collision distance when the collision force was constant. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 29

Main heading: Error detection

Controlled terms: Error compensation? - ?Robots? - ?Signal detection? - ?Vector spaces

Uncontrolled terms: Calculation results? - ?Collision forces? - ?Compensation algorithm? - ?Data preprocessing? - ?External force vector? - ?Geometric information? - ?Point detection algorithm? - ?Six-axis force/torque sensor

Classification code: 716.1 Information Theory and Signal Processing? - ?731.5 Robotics? - ?921 Mathematics

Numerical data indexing: Size 5.99e-01m

DOI: 10.6041/j.issn.1000-1298.2021.07.044

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

22. Internal Quality Nondestructive Detection and Sorting Principle of Walnut Based on Density and Digital Image

Accession number: 20213110696228

Title of translation:

Authors: Yu, Daguo (1); Zhao, Ming (1); Shi, Yijun (2); Chen, Lihua (1); Cao, Chengmao (3); Wang, Junyuan (1)

Author affiliation: (1) School of Mechanical Engineering, North University of China, Taiyuan; 030051, China; (2) Division of Machine Elements, Lule University of Technology, Lule; 971 87, Sweden; (3) School of Engineering, Anhui Agricultural University, Hefei; 230036, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 373-378 and 357

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Because the internal quality of walnuts is not easy to detect and a certain proportion of shelled walnuts in supermarkets are of poor quality, the principle of judging the internal quality of walnut according to the density was discussed, and the method and equipment of walnut sorting were studied. The principle of sorting walnuts was as follows: firstly, the walnut image collected by the camera was processed to estimate the volume of walnut; the weight of walnut was obtained; the gas pipe was selected according to the density of walnut to output gas; as a result, different walnuts fell into different containers. Walnut can also be detected and sorted according to density equivalent parameters. Secondly, when the walnut fell to the platform, the angle between its split plane and the platform was always about 60°. With this feature, the front and side cameras can be set in the correct orientation to obtain the contours of walnut, calculate the density of walnut and improve the sorting accuracy. In conclusion, this technology can indirectly detect the internal quality of walnut and promote intelligent and advanced detection. The sorting scheme had no adverse effect on walnut, working environment and operators. With the decrease of camera price, the decline of image processing cost and the improvement of computer operation speed, the cost of walnut sorter would be greatly reduced. The food processing plant would be able to arrange multiple work stations and multiple sorters at the same time, so as to meet the requirements of production efficiency when large quantities of walnut were sorted. Compared with the existing methods, the proposed method can realize nondestructive detection and had high academic value. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 27

Main heading: Image enhancement

Controlled terms: Cameras? - ?Food processing

Uncontrolled terms: Advanced detections? - ?Equivalent parameters? - ?Food processing plants? - ?Internal quality? - ?Nondestructive detection? - ?Production efficiency? - ?Sorting accuracies? - ?Working environment

Classification code: 742.2 Photographic Equipment? - ?822.2 Food Processing Operations

DOI: 10.6041/j.issn.1000-1298.2021.07.041

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

23. Optimization Method of TPA Index Data Extraction of Chilled Mutton Based on Data Visualization

Accession number: 20213110697373

Title of translation: TPA

Authors: Zhang, Guoxiang (1); Zhang, Haiyu (2); Li, Xinxing (1, 3)

Author affiliation: (1) Beijing Laboratory of Food Quality and Safety, China Agricultural University, Beijing; 100083, China; (2) Yantai Institute, China Agricultural University, Yantai; 264670, China; (3) College of Information and Electrical Engineering, China Agricultural University, Beijing; 100083, China

Corresponding author: Zhang, Haiyu(zhanghaiyu@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: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 343-350

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: With the improvement of people’s living standard and the rapid development of modern food industry, food quality and safety issues attracted increasing attention. The consumption of chilled mutton showed a trend of continuous growth in recent years. Chilled mutton has become the main sales category of lamb products in China. and it is important to ensure its quality and safety. Texture profile analysis (TPA) is an important detection method for the quality and safety of chilled mutton, but there is a large data error in some TPA index values obtained during the actual measurement process. Based on the analysis of the specific measurement process of the TPA texture detection of chilled mutton, an optimizing method of TPA index extraction of chilled mutton was proposed. The actual force data was processed by the moving average filtering method, and on the basis of the data visualization method, the location of the characteristic nodes of the TPA curve was determined by constructing the TPA indexes extract optimization model. Based on the optimization method, the self-designed chilled mutton TPA detection system showed the data stability advantages, compared with the TA-XT PLUS tester, the average measurement error of adhesiveness was decreased by 12.4 percentage points. And all TPA indexes of the self-designed system showed a higher correlation with total bacteria, the absolute values of the correlation coefficient were over 0.8, which can better reflect the texture characteristics change of chilled mutton. The research result can provide more comprehensive theoretical support and practical experience for the TPA of chilled mutton, which can further improve the quality and safety of chilled mutton, so as to protect the rights of consumers. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 31

Main heading: Data visualization

Controlled terms: Accident prevention? - ?Adhesives? - ?Curve fitting? - ?Data mining? - ?Error detection? - ?Extraction? - ?Food safety? - ?Meats? - ?Quality control? - ?Textures ? - ?Visualization

Uncontrolled terms: Correlation coefficient? - ?Food quality and safeties? - ?Optimization modeling? - ?Practical experience? - ?Quality and safeties? - ?Texture characteristics? - ?Texture profile analysis? - ?Visualization method

Classification code: 723.2 Data Processing and Image Processing? - ?802.3 Chemical Operations? - ?822.3 Food Products? - ?913.3 Quality Assurance and Control? - ?914.1 Accidents and Accident Prevention? - ?921.6 Numerical Methods

DOI: 10.6041/j.issn.1000-1298.2021.07.037

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

24. Design and Experiment of Longitudinal Axial Flow Double Flexible Rolling and Kneading Threshing Device for Millet

Accession number: 20213110696344

Title of translation:

Authors: Li, Xinping (1); Wang, Wenzhe (1); Zhao, Gaoyuan (1); Sun, Chenchen (1); Hu, Pengzhan (1); Ji, Jiangtao (1)

Author affiliation: (1) College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang; 471003, China

Corresponding author: Ji, Jiangtao(jjt0907@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 113-123

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problems of high millet agglomerates rate, high damage rate and high undelivered net loss rate in the process of mechanical harvesting, a longitudinal axial flow double flexible rolling threshing device was designed. The device adopted longitudinal axial flow threshing drum, and flexible rubber roller was installed on the threshing drum, which can reduce the damage rate of millet grain and realize the flexible and low damage threshing of millet. The rubber surface had wavy protrusion, which had good milling and threshing performance for millet. The flexible concave grate was composed of two hollow cylindrical nylon screening units, and each group of two rows of hollow cylindrical nylon screening units were mutually staggered to form U-shaped holes suitable for the separation of millet seeds. The support device of concave grate had micro motion, and the flexible micro motion concave grate was formed with the flexible concave grate, which was conducive to the separation of millet seeds and the reduction of grain rate. The feed rate, drum speed and threshing clearance were selected as the experimental factors, and the grain rate, damage rate and net undelivered loss rate were taken as the indexes to carry out the ternary quadratic regression orthogonal rotation combination test, and the optimal parameter combination of feed rate, drum speed and threshing clearance was determined. The results showed that when the feeding rate was 1.4 kg/s, the roller speed was 735 r/min and the concave gap was 9 mm, the damage rate of millet grain was 0.35%, the millet agglomerates rate was 1.78%, and the undelivered net loss rate was 0.64%, power consumption was 10.6 kW, which provided the basis for the further development of a type of millet threshing device. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 26

Main heading: Agriculture

Controlled terms: Agglomeration? - ?Axial flow? - ?Polyamides? - ?Rayon? - ?Rollers (machine components)? - ?Rubber

Uncontrolled terms: Experimental factors? - ?Micro motion? - ?Optimal parameter combinations? - ?Orthogonal rotations? - ?Quadratic regression? - ?Roller speed? - ?Rubber rollers? - ?Support devices

Classification code: 601.2 Machine Components? - ?631.1 Fluid Flow, General? - ?802.3 Chemical Operations? - ?815.1.1 Organic Polymers? - ?818.1 Natural Rubber? - ?819.2 Synthetic Fibers? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control

Numerical data indexing: Mass_Flow_Rate 1.40e+00kg/s, Percentage 1.78e+00%, Percentage 3.50e-01%, Percentage 6.40e-01%, Power 1.06e+04W, Rotational_Speed 7.35e+02RPM, Size 9.00e-03m

DOI: 10.6041/j.issn.1000-1298.2021.07.011

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

25. Drought Characteristics of Haihe Plain Based on SPI and Cloud Model

Accession number: 20213110696219

Title of translation: SPI

Authors: Zhang, Xudong (1); Shi, Ruiqiang (1); Wu, Di (2); Fu, Yujuan (1); Shi, Chaoqiang (3); Sun, Shijun (1)

Author affiliation: (1) College of Water Conservancy, Shenyang Agricultural University, Shenyang; 110866, China; (2) China Irrigation and Drainage Development Center, Beijing; 100054, China; (3) Hydrology and Water Resources Survey Station of Lvliang, Lvliang; 033000, China

Corresponding author: Fu, Yujuan(fyj0249@syau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 313-321

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: According to the daily precipitation of 20 meteorological stations in Haihe Plain from 1955 to 2019, the standardized precipitation index (SPI) on annual scale and seasonal scale was calculated, and the drought frequency and spatial and temporal characteristics of different levels on each scale were analyzed. Taking annual scale SPI as the sample, the normal cloud generator algorithm and the multi-step restoring reverse cloud transformation algorithm were used to construct the cloud model to analyze the randomness and stability of drought. The results showed that the drought frequency in Haihe Plain was mainly between 0.28 and 0.31, with the characteristics of high frequency of light drought and low frequency of heavy drought. The frequency of spring drought was the highest and winter drought was the lowest. The differences between regions and between years were the greatest in summer. The three characteristic parameters of the interannual SPI cloud model were all showed decreasing trends, in which the entropy significantly was decreased and the superentropy was significantly and positively correlated with the entropy, that was, the randomness and inhomogeneity of the SPI distribution showed a consistent trend. In space, the superentropy and entropy of each station showed a very significant negative correlation, the randomness and inhomogeneity showed an opposite trend. The inter-annual differences of cloud characteristics were greater than the inter-site differences, that was, the cloud model can better reflect the randomness and stability of regional inter-annual SPI in space. Haihe Plain tended to be drier in general, and the randomness of SPI of each station was decreased significantly and tended to be stable and uniform. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 30

Main heading: Drought

Controlled terms: Cloud computing? - ?Entropy? - ?Random processes

Uncontrolled terms: Cloud transformations? - ?Daily precipitations? - ?Drought characteristics? - ?High frequency HF? - ?Meteorological station? - ?Negative correlation? - ?Standardized precipitation index? - ?Temporal characteristics

Classification code: 444 Water Resources? - ?641.1 Thermodynamics? - ?722.4 Digital Computers and Systems? - ?922.1 Probability Theory

DOI: 10.6041/j.issn.1000-1298.2021.07.033

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

26. Estimation of Summer Corn Fractional Vegetation Coverage Based on Stacking Ensemble Learning

Accession number: 20213110697037

Title of translation: Stacking

Authors: Zhang, Hongming (1); Chen, Lijun (1); Liu, Wen (1); Han, Wenting (2); Zhang, Shuyin (1); Zhang, Fan (1)

Author affiliation: (1) College of Information Engineering, Northwest A&F University, Yangling; 712100, China; (2) College of Mechanical and Electronic Engineering, Northwest A&F University, 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: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 195-202

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Based on the UAV multi-spectral image, the summer corn vegetation index was extracted as a feature variable, and the Pearson correlation coefficient combined with the random forest algorithm was used to reverse the verification weight method for feature selection and redundant features were removed. Random forest, gradient boosting tree, support vector machine and ridge regression were used as the primary learner, and ridge regression was used as the secondary learner to establish a summer corn coverage estimation model based on Stacking ensemble learning, and 5-fold cross-validation was used to further improve model generalization ability, a combination of random search and grid search was used to optimize model hyper parameters, four regression indicators were used for model accuracy evaluation, and the following year’s data was used to verify its robustness. The experimental results showed that compared with a single model and decision tree, Xgboost, Adaboost, and Bagging integrated framework, the Stacking integrated learning model had higher accuracy and stronger robustness. The R2 was 0.950 9, which was an average improvement of 0.036 9 than that of the single model. Compared with other integrated models, the average increase was 0.041 7; RMSE, MAE and MAPE were 0.043 2, 0.033 0 and 5.01%, respectively, which were 0.013 8, 0.013 0 and 2.14 percentage points lower than that of the single model, and 0.018 5, 0.012 6 and 2.15 percentage points lower than that of the other integrated models. The research result provided a method and effective support for the estimation of summer corn coverage. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 37

Main heading: Learning systems

Controlled terms: Adaptive boosting? - ?Correlation methods? - ?Decision trees? - ?Random forests? - ?Spectroscopy? - ?Support vector machines? - ?Support vector regression? - ?Vegetation

Uncontrolled terms: Coverage estimations? - ?Integrated frameworks? - ?Integrated learning? - ?Model generalization? - ?Multispectral images? - ?Pearson correlation coefficients? - ?Random forest algorithm? - ?Vegetation coverage

Classification code: 723 Computer Software, Data Handling and Applications? - ?922.2 Mathematical Statistics? - ?961 Systems Science

Numerical data indexing: Percentage 0.00e+00%, Percentage 5.01e+00%

DOI: 10.6041/j.issn.1000-1298.2021.07.020

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

27. Design and Test of Humidification System for Potato Ventilated Storage

Accession number: 20213110696157

Title of translation:

Authors: Wang, Xiangyou (1); Wang, Rongming (1); Li, Xueqiang (2, 3); Wang, Faming (2, 3); Li, Shaochuan (2, 3)

Author affiliation: (1) School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo; 255000, China; (2) Shandong Star Agricultural Equipment Co., Ltd., Dezhou; 253600, China; (3) Shandong Provincial Intelligent Engineering and Technology Research Center for Potato Production Equipments, Dezhou; 253600, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 358-366

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the problems of fuzzy selection parameter standards of the humidification system of the existing potato ventilated storage and the inability of the humidification method to automatically adjust with the changes of the environmental parameters in the storage, a set of automatic humidification system for the potato storage was designed and developed. The humidification system was based on the existing potato storage, combined with the physiological characteristics of the potato, selected PLC S7-200 as the main controller for development, and the control variable method was used for experimental design. Through the data analysis software Origin, a single factor test analysis was carried out on the relationship between the various influencing factors and the inlet wind speed and relative humidity, and the influence of the thickness of the humidification curtain, the power of the humidification pump and the wind speed of the fan on the humidification effect of the storage was obtained. Through experimental research, it was concluded that the best collocation plan for the storage warehouse was that the thickness of the wet curtain was 45 cm, the power of the humidification pump was 70 W, the wind speed of the fan was 16 m/s, and the full penetration effect can be achieved when the wind speed reached 16 m/s. The application test of the humidification system proves that the system can work normally and can meet the humidification requirements of potato storage. It can be adjusted according to the changes of environmental parameters in the warehouse, so that the potato can maintain sufficient moisture and low weight loss rate, and guaranteed the storage in the warehouse. The environment was suitable for the storage of potatoes. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Food storage

Controlled terms: Digital storage? - ?Software testing? - ?Warehouses? - ?Wind

Uncontrolled terms: Control variable? - ?Data analysis softwares? - ?Design and tests? - ?Environmental parameter? - ?Experimental research? - ?Humidification systems? - ?Physiological characteristics? - ?Weight loss rates

Classification code: 443.1 Atmospheric Properties? - ?694.4 Storage? - ?722.1 Data Storage, Equipment and Techniques? - ?723.5 Computer Applications

Numerical data indexing: Power 7.00e+01W, Size 4.50e-01m, Velocity 1.60e+01m/s

DOI: 10.6041/j.issn.1000-1298.2021.07.039

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

28. Land Spatial Transformation Analysis in Shandong Province Based on Geo Information Map

Accession number: 20213110696243

Title of translation:

Authors: Lu, Chang (1); Zhou, Hao (2); Zhang, Feng (1); Dong, Guanglong (1); Fu, Jinshan (3)

Author affiliation: (1) School of Management Engineering, Shandong Jianzhu University, Ji’nan; 250101, China; (2) School of Geographic Sciences, Hunan Normal University, Changsha; 410081, China; (3) Nanjing Guotu Information Industry Co., Ltd., Harbin; 150036, China

Corresponding author: Zhou, Hao(zhouhao7404@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 222-230

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: It was of great practical significance to carry out the research on the transformation of land space for the comprehensive study and evaluation of the results of land space change, and to solve the coupling law between human activities and land space change system. Taking Shandong Province as the research area, supported by multi-stage remote sensing monitoring data, the spatial transformation characteristics of the province from 1980 to 2018 was analyzed by using GIS spatial analysis, geo information map and fluctuation potential map. The results showed that during the study period, the land of Shandong Province was dominated by agricultural production space, the expansion of urban living space was significantly higher than that of rural living space, the area of water ecological space and industrial and mining production space fluctuated, and the other ecological space areas continued to decline. From 1980 to 2000, Shandong Province was dominated by the transformation of agricultural production space to living space and ecological space to production space, while from 2000 to 2018 it was mainly the interactive transformation of living space and production space, production space and ecological space. The fluctuation map from 1980 to 2000 was mainly industrial and mining production space, agriculture and mining production space from 2000 to 2018, the total area of industrial production space and urban living space was increased by 3.42 times, of which rural and urban living space was increased by 4.29 times and 2.65 times, respectively. The area of urban living space decline map was low, while the shrinking area of rural living space continued to increase, and the ecological space shrinked rapidly. The research intuitively revealed the spatial-temporal evolution characteristics of land spatial transformation in Shandong Province, which could provide the basis for finding out the transformation law and carrying out the land spatial planning. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 26

Main heading: Spatial variables measurement

Controlled terms: Agricultural robots? - ?Agriculture? - ?Ecology? - ?Metadata? - ?Remote sensing? - ?Rural areas

Uncontrolled terms: Agricultural productions? - ?Industrial production? - ?Remote sensing monitoring? - ?Shandong province? - ?Spatial planning? - ?Spatial transformation? - ?Spatial-temporal evolution? - ?Transformation law

Classification code: 454.3 Ecology and Ecosystems? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?943.2 Mechanical Variables Measurements

DOI: 10.6041/j.issn.1000-1298.2021.07.023

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

29. Sediment Distribution Mechanism of Labyrinth-channel Emitters under Different Flushing Measures

Accession number: 20213110697097

Title of translation:

Authors: Yu, Liming (1); Yu, Xingjiao (1); Li, Na (1); Zhang, Guilin (1); Han, Dong (2); Cui, Ningbo (3)

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

Corresponding author: Han, Dong(13910661975@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 304-312

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Flushing is the necessary measures of micro-irrigation system maintenance, the laboratory experiment was conducted at Kunming University of Science and Technology to evaluate the effect of three targeted flushing velocities (0.25 m/s, 0.50 m/s and 0.75 m/s) and five flushing frequencies (flushing every two days, flushing every four days, flushing every seven days, flushing every ten days, and non-flushing control group) on the anti-clogging performance of the emitter. The laser particle size analyzer was used to analyze the particle size of the water source sediment, the sediment discharged by the dripper, and the retained sediment in the dripper. The relative flow rate and irrigation uniformity of the emitter were fitted under different flushing treatments. The results showed that the irrigation treatment had a significant effect on the anti-clog performance of the emitter, and the 12 irrigation treatment measures increased the service life of the emitter by 39.58% on average. Flushing can effectively reduce the accumulation of sediments in the dripline and decrease the probability of coarse particles flowing into emitters and fine particles aggregating and cementing in the labyrinth channel, thus relieving the emitter clogging. The capillary flush treatment improved the uniformity of irrigation and reduced the probability of sudden blockage of the emitter. Flushing can effectively reduce sediment accumulation in the capillary, reduce the probability of large sediment entering the labyrinth channel, and improve the anti-clogging performance of the drip head. Therefore, dripline flushing can effectively slow down clogging in muddy water drip irrigation system. The recommended flushing velocity should be set at 0.75 m/s, and the flushing intervals should be extended appropriately but not more than 7 days. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 37

Main heading: Particle size

Controlled terms: Irrigation? - ?Particle size analysis? - ?Probability? - ?Sediments

Uncontrolled terms: Drip irrigation systems? - ?Irrigation treatments? - ?Irrigation uniformity? - ?Laboratory experiments? - ?Laser particle size analyzer? - ?Microirrigation systems? - ?Science and Technology? - ?Sediment distribution

Classification code: 483 Soil Mechanics and Foundations? - ?821.3 Agricultural Methods? - ?922.1 Probability Theory? - ?951 Materials Science

Numerical data indexing: Age 1.92e-02yr, Percentage 3.96e+01%, Velocity 2.50e-01m/s, Velocity 5.00e-01m/s, Velocity 7.50e-01m/s

DOI: 10.6041/j.issn.1000-1298.2021.07.032

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

30. Detection of Wheat Stem Section Parameters Based on Improved Unet

Accession number: 20213110696193

Title of translation: Unet

Authors: Chen, Yan (1, 2); Zhu, Chengyu (1); Hu, Xiaochun (3); Wang, Lingqiang (4)

Author affiliation: (1) College of Computer and Electronic Information, Guangxi University, Nanning; 530004, China; (2) Guangxi Key Laboratory of Multimedia Communications Network Technology, Nanning; 530004, China; (3) School of Information and Statistics, Guangxi University of Finance and Economics, Nanning; 530007, China; (4) College of Agriculture, Guangxi University, Nanning; 530004, China

Corresponding author: Hu, Xiaochun(huxch999@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 169-176

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The microstructure is closely related to mechanical strength of the stem, which plays an important role in crop lodging resistance. However, the lack of effective methods in identification and estimation of the parameters severely restricted the related researches. In view of the complexity of wheat stalk cross-section microscopic image data set, ResNet50 and Unet deep learning network were used to build a semantic segmentation model Res-Unet for vascular bundles and background regions. MobileNet and Unet networks was combined to build a cross-section, marrow cavity and background. The semantic segmentation model Mobile-Unet measured the relevant parameters of lodging resistance such as the cross-sectional size of the wheat stem, the size of the pulp cavity and the area of the vascular bundle. For small sample data sets, the trained ResNet50 network weights were applied to the network model of wheat stalk cross-sectional slice images through the shared parameter method of transfer learning in deep learning. The results showed that compared with the previous studies, the key parameters greatly improved in accuracy, and the recognition rate of all parameters exceeded 97%, and the highest was 99.91%. Moreover, it only took 21.6 s to detect a single image, which was an average increase of 80.36% over the 110 s of existing image processing methods. In addition, the model evaluation accuracy rate, recall rate, F1 value and mean intersection over union (mIoU) index values all reached 90%. In conclusion, the method developed was accurate, real-time and effective, and can serve as one of important techniques for the further studies of crop lodging resistance. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Learning systems

Controlled terms: Crops? - ?Deep learning? - ?Image segmentation? - ?Semantics? - ?Transfer learning

Uncontrolled terms: Background region? - ?Image processing - methods? - ?Lodging resistance? - ?Microscopic image? - ?Model evaluation? - ?Parameter methods? - ?Semantic segmentation? - ?Small sample datum

Classification code: 821.4 Agricultural Products

Numerical data indexing: Percentage 8.04e+01%, Percentage 9.00e+01%, Percentage 9.70e+01%, Percentage 9.99e+01%, Time 1.10e+02s

DOI: 10.6041/j.issn.1000-1298.2021.07.017

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

31. Design and Experiment of Ear Harvester for Seed Corn

Accession number: 20213110697125

Title of translation:

Authors: Tang, Zunfeng (1); Liu, Shuping (1); Zhou, Fujun (2); Li, Tianyu (2); Wang, Jiaoli (3); Li, Chunyou (3)

Author affiliation: (1) Modern Agricultural and Equipment Co., Ltd., Beijing; 100083, China; (2) College of Engineering, Northeast Agricultural University, Harbin; 150030, China; (3) MENOBLE Co., Ltd., Beijing; 100083, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 102-112

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In view of the lack of corresponding ear harvesting machines for domestic seed corn, the high labor intensity of seed corn harvesting, and the existing corn harvesters’ inability to meet the requirements of the use of technical indicators such as ear loss rate and landing kernel loss rate, a corn ear harvester with middle-stretched stem cutting handle, flexible ear picking and rapid seed clearing of seed corn was designed. The structure and working principle of the whole machine were briefly described, and the key components were theoretically analyzed, calculated and selected. In order to verify the reliability and practicability of the machine performance, field tests were carried out. Taking the rotation speed of the pulling stem roller, the forward speed, and the speed of the trash exhaust fan as the test factors, the three-factor three-level orthogonal experiment was carried out based on the performance index of the loss rate of ears and the loss rate of landing kernels, and the range analysis and variance analysis had a significant impact on each factor. The optimal parameter combination was selected for each test factor: the forward speed was 4.83 km/h, rotation speed of the pulling stem roller was 788 r/min, and the speed of the trash exhaust fan was 1 200 r/min, the ear loss rate was 1.83%, and the landing kernel loss rate was 1.01%. The corresponding parameters were tested and verified, and the results of the verification test were obtained: the loss rate of ears was 1.85%, and the loss rate of landing kernel was 1.01%. The optimization results were basically consistent with the verification test results, and the prediction model was reliable. The operating performance of the whole machine met the technical requirements of seed production corn ear harvesting. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 19

Main heading: Speed

Controlled terms: Harvesters? - ?Harvesting? - ?Landing? - ?Predictive analytics? - ?Rollers (machine components)

Uncontrolled terms: Harvesting machines? - ?Machine performance? - ?Operating performance? - ?Optimal parameter combinations? - ?Orthogonal experiment? - ?Performance indices? - ?Technical indicator? - ?Technical requirement

Classification code: 601.2 Machine Components? - ?821.1 Agricultural Machinery and Equipment? - ?821.3 Agricultural Methods

Numerical data indexing: Percentage 1.01e+00%, Percentage 1.83e+00%, Percentage 1.85e+00%, Rotational_Speed 1.20e+03RPM, Rotational_Speed 7.88e+02RPM, Velocity 1.34e+00m/s

DOI: 10.6041/j.issn.1000-1298.2021.07.010

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

32. Disturbance of Vitamin C on Chemical Oscillation System of Milk Powder

Accession number: 20213110697240

Title of translation: C

Authors: Ma, Yongjie (1); Bao, Hongliang (1); Wang, Ruijie (1); Wang, Liye (1); Lou, Wenjuan (2); Dong, Wenbin (3)

Author affiliation: (1) College of Food and Drug, Luoyang Normal University, Luoyang; 471934, China; (2) School of Food Science, Henan Institute of Science and Technology, Xinxiang; 453003, China; (3) College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology, Xi’an; 710021, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 351-357

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The effect of vitamin C on the oscillation of (NH4)4Ce(SO4)4-NaBrO3-malonic acid chemical oscillation system was studied. The blank samples of milk powder and pure water were taken as test samples, and the data were collected by clicking the menu. When the oscillation curve was smooth for 8 min, different amounts of vitamin C were added to investigate the influence of each amount of vitamin C on the visual information and characteristic parameters of the corresponding oscillation spectrum. The results showed that when the amount of vitamin C was more than 0.001 5 g per gram milk powder, the visual spectrum and some characteristic parameters of milk powder and pure water blank samples were changed significantly, especially when the amount of vitamin C was more than 0.010 6 g, the maximum amplitude of characteristic parameters of milk powder oscillation spectrum after interference was basically unchanged, and the oscillation state basically stopped. For the interference of vitamin C to the blank sample, when the vitamin C content was greater than 0.020 3 g, the maximum amplitude after interference basically reached a stable state, and the peak valley potential after interference was decreased with the gradual increase of vitamin C content. When the vitamin C content was greater than or equal to 0.025 4 g, the peak valley potential after interference basically did not change. The research result provided a theoretical basis for the qualitative and quantitative analysis of vitamin C content in milk powder samples. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Dairies

Controlled terms: Ascorbic acid

Uncontrolled terms: Chemical oscillations? - ?Maximum amplitude? - ?Oscillation curves? - ?Oscillation spectra? - ?Oscillation state? - ?Qualitative and quantitative analysis? - ?Visual information? - ?Vitamin c contents

Classification code: 804.1 Organic Compounds? - ?822.1 Food Products Plants and Equipment

Numerical data indexing: Time 4.80e+02s

DOI: 10.6041/j.issn.1000-1298.2021.07.038

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

33. Straw Recognition and Coverage Rate Detection Technology Based on Improved AdaBoost Algorithm

Accession number: 20213110697414

Title of translation: AdaBoost

Authors: Yang, Guang (1); Zhang, Hongxi (1); Fang, Tao (2); Zhang, Caili (1)

Author affiliation: (1) School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun; 130022, China; (2) Passenger Car Product Department, Hangzhou Haikang Auto Software Co., Ltd., Hangzhou; 310051, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 177-183

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: At present, the accuracy of automatic identification of straw coverage rate is low, an image processing algorithm was proposed, which based on the combination of straw image distortion correction and Otsu algorithm for threshold segmentation. It was used to calculate the straw coverage rate in the field. Firstly, the working environment information of the no-tillage planter was collected by monocular camera, and an improved AdaBoost algorithm was used to automatically judge whether the current working environment of no-tillage planter was no-tillage land. Under the premise of no-tillage land, an improved AdaBoost algorithm was proposed to determine the working environment of no-tillage planter. Secondly, the straw image collected in the field was preprocessed, and the recognizable features of straw in the image were improved by color space distance and image enhancement. The inverse mapping model was combined with nearest neighbor interpolation to solve the problem of image distortion. Finally, the image part for straw recognition was cut out. The Otsu algorithm was used for threshold segmentation to calculate the straw coverage rate. The accuracy of AdaBoost algorithm classification and straw coverage rate was verified by experiments. The experimental results showed that the working environment of no-tillage planter was effectively indentified by AdaBoost algorithm, and the error of straw coverage rate between the image processing algorithm calculated and the actual measurement value was less than 5%, which verified the effectiveness of the algorithm. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Adaptive boosting

Controlled terms: Agriculture? - ?Automation? - ?Image enhancement? - ?Image segmentation? - ?Inverse problems

Uncontrolled terms: Actual measurements? - ?AdaBoost algorithm? - ?Image distortion corrections? - ?Image processing algorithm? - ?Nearest neighbor interpolation? - ?No-tillage planter? - ?Threshold segmentation? - ?Working environment

Classification code: 723 Computer Software, Data Handling and Applications? - ?731 Automatic Control Principles and Applications? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control

Numerical data indexing: Percentage 5.00e+00%

DOI: 10.6041/j.issn.1000-1298.2021.07.018

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

34. Experiment on Indirect Hydrogenation Upgrading of Biomass Pyrolysis Vapors Based on NTP

Accession number: 20213110697364

Title of translation: NTP

Authors: Fan, Yongsheng (1); Hou, Guangxi (1); Xiong, Yonglian (1); Cai, Yixi (2); Zhao, Weidong (2)

Author affiliation: (1) School of Automotive Engineering, Yancheng Institute of Technology, Yancheng; 224051, China; (2) School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang; 212013, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 322-328

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to effectively improve the upgrading efficiency of biomass pyrolysis vapors, polyethylene pyrolysis volatiles were used as indirect hydrogenation material, and indirect hydrogenation upgrading of biomass pyrolysis vapors was conducted over HZSM-5 and its Ru, Ti and Sn modified versions to prepare bio-fuels. Besides, non-thermal plasma (NTP) technology was introduced to enhance the conversion process. The effects of metal modifications on the active radicals, organic phase yields, properties and compositions, and catalyst coking rates were explored. The results showed that under the action of NTP, the Ru and Ti modified species enhanced the formation of active radicals and activated more volatiles into the same radical scale, contributing to the integration of mixed vapors. Particularly, the yield and high heating value of organic phase by using TiHZ5 reached 58.73% and 38.73 MJ/kg, respectively. The modification of Ru, Ti and Sn significantly increased the relative contents of aromatic hydrocarbons in the organic phase, which were increased by 109.15%, 208.55% and 52.52%, respectively, resulting in a decrease in the effective hydrogen to carbon ratio distribution of the product. In addition, the coking rates of Ru, Ti and Sn modified HZSM-5 were decreased from 12.88% to 9.44%, 4.95% and 10.91%, respectively. And Ti modification significantly improved the stability of catalyst. In general, under the action of NTP, Ti modified HZSM-5 had higher conversion efficiency and higher catalytic stability. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Hydrogen fuels

Controlled terms: Aromatic hydrocarbons? - ?Biomass? - ?Catalysts? - ?Coking properties? - ?Efficiency? - ?Hydrogenation? - ?Pyrolysis

Uncontrolled terms: Biomass pyrolysis? - ?Catalyst coking? - ?Catalytic stability? - ?Conversion process? - ?High heating values? - ?Hydrogen-to-carbon ratio? - ?Indirect hydrogenations? - ?Nonthermal plasma

Classification code: 522 Gas Fuels? - ?524 Solid Fuels? - ?802.2 Chemical Reactions? - ?803 Chemical Agents and Basic Industrial Chemicals? - ?804 Chemical Products Generally? - ?804.1 Organic Compounds? - ?913.1 Production Engineering

Numerical data indexing: Percentage 1.09e+01%, Percentage 1.09e+02%, Percentage 1.29e+01% to 9.44e+00%, Percentage 2.09e+02%, Percentage 4.95e+00%, Percentage 5.25e+01%, Percentage 5.87e+01%, Specific_Energy 3.87e+07J/kg

DOI: 10.6041/j.issn.1000-1298.2021.07.034

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

35. Design and Experiment of Soil Cultivating Device of Plowshare Potato Field Cultivator

Accession number: 20213110696129

Title of translation:

Authors: Lü, Jinqing (1); Liu, Qihui (1); Li, Zihui (1); Li, Jicheng (1); Liu, 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: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 71-82

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the problems of low operating efficiency and poor soil cultivation effect of potato cultivators in sandy loam soil conditions, a type of plowshare potato cultivator was designed. The overall structure and working principle of the machine were described. It clarified the main view of the plow body’s contour, the establishment of the guide curve, and the change law of the angle between the horizontal element straight line and the x-axis, and using the horizontal element line method, combined with the requirements of potato field tillage operation and dynamic analysis, the plow body structure parameters and their ranges that affected the effect of soil plow operation were determined. Based on the EDEM discrete element simulation technology, a component-soil simulation model was established. The soil height and soil fragmentation rate were used as test indicators. The tangent angle at the upper end of the guide curve, the initial element line angle, and the element line angle difference were the test factors, and the simulated quadratic orthogonal rotation regression test was carried out. Field experiments were conducted on the basis of simulation. The test results showed that the plowshare potato field cultivator developed had the soil crushing rate of 94.7%, the soil height of 8.4 cm, the working depth was 13.6 cm, the root depth stability coefficient was 92.1%, and the fuel consumption was 14.6 kg/hm2, which was significantly better than the shovel type potato field cultivator’s operating efficiency and results, and satisfied the operating requirements of the potato field cultivator. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 34

Main heading: Agricultural machinery

Controlled terms: Agricultural implements? - ?Cultivation? - ?Efficiency? - ?Soils

Uncontrolled terms: Discrete element simulation? - ?Field cultivators? - ?Field experiment? - ?Operating efficiency? - ?Operating requirements? - ?Quadratic orthogonal rotation? - ?Regression tests? - ?Stability coefficient

Classification code: 483.1 Soils and Soil Mechanics? - ?821.1 Agricultural Machinery and Equipment? - ?821.3 Agricultural Methods? - ?913.1 Production Engineering

Numerical data indexing: Percentage 9.21e+01%, Percentage 9.47e+01%, Size 1.36e-01m, Size 8.40e-02m

DOI: 10.6041/j.issn.1000-1298.2021.07.007

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

36. Classification Technology of Rice Questions in Question Answer System Based on Attention_DenseCNN

Accession number: 20213110696192

Title of translation: Attention_DenseCNN

Authors: Wang, Haoriqin (1, 2); Wu, Huarui (3, 4); Feng, Shuai (1); Liu, Zhichao (1); Xu, Tongyu (1)

Author affiliation: (1) College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang; 110866, China; (2) College of Computer Science and Technology, Inner Mongolia University for Nationalities, Tongliao; 028043, China; (3) National Engineering Research Center for Information Technology in Agriculture, Beijing; 100097, China; (4) Beijing Research Center for Information Technology in Agriculture, Beijing; 100097, 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: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 237-243

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In the QA community of Chinese Agricultural Technology Promotion APP, thousands of rice text data questions are added every day, and the rapid and automatic classification of questions is a key step to realize the intelligent QA system of rice. However, due to the high dimensional sparsity of text data and the particularity of agricultural problems, the classification of rice questions faces difficult challenges. In order to improve the classification performance of rice question text, a convolution text classification method with dense connection was proposed. A dense connection between upstream and downstream convolution blocks was established, which enabled the model to synthesize large-scale features from small-scale features. Combined with the agricultural word segmentation dictionary, the text data was segmented into 100-dimensional word vectors by Word2vec. Neural network model’s parameters for question classification in rice question answering system were obtained by training text data with dense concatenated convolution model and attention mechanism. The experimental results showed that the text classification model based on Attention_DenseCNN can optimize the text’s representation and feature extraction, and also it can automatically classify the rice question text with accuracy of 95.6% and F1 value of 94.9%. Compared with the other seven text classification methods, the classification performance had obvious advantages. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 31

Main heading: Text processing

Controlled terms: Agricultural robots? - ?Agriculture? - ?Classification (of information)? - ?Convolution? - ?Natural language processing systems? - ?Pumping plants

Uncontrolled terms: Agricultural technologies? - ?Automatic classification? - ?Classification performance? - ?Classification technology? - ?Question answering systems? - ?Text classification methods? - ?Text classification models? - ?Word segmentation dictionaries

Classification code: 446 Waterworks? - ?716.1 Information Theory and Signal Processing? - ?723.2 Data Processing and Image Processing? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?903.1 Information Sources and Analysis

Numerical data indexing: Percentage 9.49e+01%, Percentage 9.56e+01%

DOI: 10.6041/j.issn.1000-1298.2021.07.025

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

37. Stability of High Head Francis Turbine Based on Sample Entropy

Accession number: 20213110696174

Title of translation:

Authors: Zhu, Guojun (1); Chen, Minjia (1); Feng, Jianjun (1); Liu, Keran (2); Luo, Xingqi (1)

Author affiliation: (1) Institute of Water Resources and Hydro-electric Engineering, Xi’an University of Technology, Xi’an; 710048, China; (2) Zhejiang FINE Institute of Hydraulic Machinery, Hangzhou; 311121, China

Corresponding author: Feng, Jianjun(jianjunfeng@xaut.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 134-140 and 101

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Pressure fluctuation is one of the main parameters to judge turbine stability. However, there is limitation in judging turbine stability based on the amplitudes of pressure fluctuation only. By applying the multi-channel high precision pressure fluctuation test system, the pressure fluctuation in different parts of a high head Francis turbine under partial load were collected synchronously. Then the principal components of each pressure fluctuation data were extracted by cross-correlation analysis and complete ensemble empirical mode decomposition (CEEMD) method. Finally, the sample entropy of principal component data of each pressure fluctuation signal was calculated. And then the distribution of sample entropy of different monitor points in operating range was obtained. Base on the results, it can be concluded that vortex rope in draft tube was still the main factor affecting the stability of high head Francis turbine under part load condition. And the frequency information of the principal component of the pressure fluctuation at each part of the Francis turbine can be used to infer the type of the hydraulic instability source. According to the joint comparison of the pressure fluctuation amplitude distribution and the sample entropy distribution at key monitor points, it can be proved that the variation trend of the sample entropy of principal component of pressure fluctuation can reflect the stability of hydraulic turbine. Therefore, the trend analysis of the sample entropy of principal component of pressure fluctuation can be popularized as a technical method to study the variation of the inner flow state of turbine. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Hydraulic motors

Controlled terms: Entropy? - ?Francis turbines? - ?Stability

Uncontrolled terms: Cross-correlation analysis? - ?Ensemble empirical mode decomposition? - ?Frequency information? - ?Hydraulic instability? - ?Operating ranges? - ?Part load conditions? - ?Pressure fluctuation? - ?Principal Components

Classification code: 617.1 Hydraulic Turbines? - ?632.2 Hydraulic Equipment and Machinery? - ?641.1 Thermodynamics

DOI: 10.6041/j.issn.1000-1298.2021.07.013

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

38. External Quality Grading Method of Fuji Apple Based on Deep Learning

Accession number: 20213110697346

Title of translation: DXNet

Authors: He, Jinrong (1, 2); Shi, Yanxin (1); Liu, Bin (2, 3); He, Dongjian (2, 3)

Author affiliation: (1) College of Mathematics and Computer Science, Yan’an University, Yan’an; 716000, 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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 379-385

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The research and development of high-precision and low-cost apple intelligent grading technology is the core issue to extend the apple industrial chain and improve the quality and efficiency of the fruit industry. In order to solve the problems of low accuracy and weak robustness of traditional computer vision technology in apple external quality classification, an apple appearance classification method based on deep learning (multiple convolutional neural network DXNet model) was proposed. Firstly, totally 15 000 apple images covering different appearance levels were taken in Yan’an supermarkets, orchards and other places, and then labeled manually. A database of apple images with extensive coverage of external quality information and large sample size was established. Then, on the basis of comparing and analyzing the classical convolution network model, the classical model was optimized and improved by the method of model fusion, and the convolution part of the classical model was extracted and fused to be the feature extractor, and the fully connected layer was shared to be the classifier, batch normalization and regularization techniques were used to prevent the model from over fitting. Totally 15 000 images were used for training and 4 500 images were used for testing. The results showed that the classification accuracy of the improved DXNet model was higher than that of the classical model, and the classification accuracy reached 97.84%, the validity of the method applied to apple external quality classification was verified. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 23

Main heading: Deep learning

Controlled terms: Convolution? - ?Convolutional neural networks? - ?Costs? - ?Fruits? - ?Grading? - ?Industrial research? - ?Learning systems? - ?Research and development management

Uncontrolled terms: Classification accuracy? - ?Classification methods? - ?Feature extractor? - ?Industrial chain? - ?Method of modeling? - ?Regularization technique? - ?Research and development? - ?Traditional computers

Classification code: 716.1 Information Theory and Signal Processing? - ?821.4 Agricultural Products? - ?901.3 Engineering Research? - ?911 Cost and Value Engineering; Industrial Economics

Numerical data indexing: Percentage 9.78e+01%

DOI: 10.6041/j.issn.1000-1298.2021.07.042

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

39. Multi-label Classification of Food Safety Regulatory Issues Based on BERT-LEAM

Accession number: 20213110696312

Title of translation: BERT-LEAM

Authors: Zheng, Limin (1, 2); Qiao, Zhenduo (1); Tian, Lijun (1); Yang, Lu (1)

Author affiliation: (1) College of Information and Electrical Engineering, China Agricultural University, Beijing; 100083, China; (2) Beijing Laboratory of Food Quality and Safety, 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: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 244-250 and 158

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Effective classification of food safety regulatory issues is the key to the realization of the food safety regulatory question and answer system. In order to improve the effect of single label text classification, a multi-label text classification method based on bidirectional encoder representational from transformers-label embedding attentive model (BERT-LEAM) was proposed according to the different food safety perspectives and levels involved in the problem. A multi-angle and hierarchical multi-label labeling method was used to assign multiple labels to a single question text, and the pre-training language model of BERT was introduced to represent the context feature information. The dependency between the label and the text was learned by attention mechanism, the word was processed by embedding aggregation, and the tag was applied to the text classification process. The experimental results showed that the classification effect on the coarse-grained multi-label data set was better than that on the fine-grained multi-label data set. The method of text feature representation by BERT model was better than that of Word2Vec. The F1-W values of coarse-grained multi-label data set and fine-grained multi-label data set were 93.35% and 79.81%, respectively, which was better than other classification methods model. The problem classification based on food safety regulations question answering system was realized effectively by using the method of BERT-LEAM classification, which laid the foundation for the implementation of the follow-up question answering system. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 26

Main heading: Classification (of information)

Controlled terms: Embeddings? - ?Food safety? - ?Laws and legislation? - ?Text processing

Uncontrolled terms: Attention mechanisms? - ?Classification methods? - ?Food Safety Regulations? - ?Multi label classification? - ?Multi-label text classification? - ?Problem classification? - ?Question and answer system? - ?Question answering systems

Classification code: 461.6 Medicine and Pharmacology? - ?716.1 Information Theory and Signal Processing? - ?903.1 Information Sources and Analysis? - ?971 Social Sciences

Numerical data indexing: Percentage 7.98e+01%, Percentage 9.33e+01%

DOI: 10.6041/j.issn.1000-1298.2021.07.026

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

40. Fine-grained Mushroom Phenotype Recognition Based on Transfer Learning and Bilinear CNN

Accession number: 20213110696965

Title of translation: CNN

Authors: Yuan, Peisen (1); Shen, Chengji (1); Xu, Huanliang (1)

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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 151-158

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: As one of the important fungi, mushrooms have a wide variety. There are about 100 000 species of fungi that have been found so far, and the phenotypes of most fungi have little difference. The identification and classification for the variety of fungi is a challenging task, which needs professional fungus expert knowledge to complete. As an edible mushroom, the study of its classification is of great importance. In order to be able to perform fine-grained phenotype recognition of mushrooms, a fine-grained mushroom recognition method was proposed based on transfer learning and bilinear convolutional neural network of Inception-ResNet-v2. For extracting the fine-grained features of mushroom image data, the Inception-ResNet-v2 network combined with bilinear convergence operation was employed. In addition, for improving the training performance, the pre-trained model parameters based on the ImageNet dataset were transferred for the fine-grained mushroom phenotype dataset using transfer learning skills. In order to evaluate the performance of the approach, extensive experiments were conducted, and the experimental results showed that the identification accuracy was 87.15% and 93.94% on the open source data set and the private data, respectively. Finally, a Flask-based online mushroom phenotype identification system was developed to facilitate the online identification and analysis of fine-grained mushroom phenotypes as well. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 36

Main heading: Transfer learning

Controlled terms: Convolutional neural networks? - ?Fungi? - ?Image enhancement? - ?Learning systems

Uncontrolled terms: Edible mushroom? - ?Expert knowledge? - ?Identification accuracy? - ?Model parameters? - ?On-line identification? - ?Open source datum? - ?Phenotype identification? - ?Recognition methods

Numerical data indexing: Percentage 8.72e+01%, Percentage 9.39e+01%

DOI: 10.6041/j.issn.1000-1298.2021.07.015

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

41. Identification of Isotonic Drought Stress and Salt Stress in Wheat Seedling Based on Plant Electric Signal

Accession number: 20213110697056

Title of translation:

Authors: Li, Jinhai (1, 2); Li, Yang (1, 3); De Oliveira, Ricardo Ferraz (4); Yao, Jiepeng (1, 3); Huang, Lan (1, 3); Wang, Zhongyi (1, 2)

Author affiliation: (1) College of Information and Electrical Engineering, China Agricultural University, Beijing; 100083, China; (2) Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing; 100083, China; (3) Key Laboratory of Agricultural Information Acquisition Technology (Beijing), Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing; 100083, China; (4) Luiz de Queiroz College of Agriculture (ESALQ), University of S?o Paulo, Piracicaba; 3538709, Brazil

Corresponding author: Wang, Zhongyi(wzyhl@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: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 231-236

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the problem that drought stress and salt stress are difficult to distinguish in the early stage when plants are under stress, a method was proposed to identify drought stress and salt stress based on light-induced plant electrical signals. The illumination/darkness cycle stimulation was used to obtain the surface potentials of wheat seedlings under normal conditions, as well as under isotonic drought and salt stress. One-versus-one support vector machine (OVOSVM) was used to classify the obtained plant electrical signals. The results of 3-fold cross validation showed that the two-class classification of wheat seedling leaf surface potential under normal and drought stress had an accuracy of 100%, and the two-class classification of leaf surface potential under normal and salt stress had an accuracy of 94.44%. The accuracy of three-class classifications reached 96.30%. Under the conditions of isosmotic drought stress and salt stress, the classification accuracy of wheat seedling leaf surface potential was 100%. The results showed that plant electrical signals can be used as a method to identify adversity stress, and can accurately identify early drought stress and salt stress under isotonic conditions. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 29

Main heading: Drought

Controlled terms: Support vector machines? - ?Surface potential? - ?Well stimulation

Uncontrolled terms: Classification accuracy? - ?Cross validation? - ?Electric signal? - ?Isotonic conditions? - ?Normal condition? - ?Plant electrical signals? - ?Three-class classification? - ?Wheat seedlings

Classification code: 444 Water Resources? - ?701.1 Electricity: Basic Concepts and Phenomena? - ?723 Computer Software, Data Handling and Applications

Numerical data indexing: Percentage 1.00e+02%, Percentage 9.44e+01%, Percentage 9.63e+01%

DOI: 10.6041/j.issn.1000-1298.2021.07.024

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

42. Accuracy Design of 2UPR-RPS Parallel Mechanism

Accession number: 20213110697238

Title of translation: 2UPR-RPS

Authors: Zhang, Jun (1); Chi, Changcheng (1); Jiang, Shujia (1)

Author affiliation: (1) School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 411-420

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Geometric errors have an important effect on the pose accuracy of the parallel mechanism (PM). In order to reveal the influences of geometric error sources on the pose accuracy of the parallel mechanism and determine its optimal intervals, a 2UPR-RPS parallel mechanism was taken as an example to demonstrate the accuracy design of over-constrained PMs. An error mapping model of the parallel mechanism was established by using the first-order perturbation method, based on which the geometric error sources that affected pose accuracy of the end-effector were obtained. The set of sensitivity index of the geometric error sources was formulated with the interval analysis theory and the sensitivity analysis was carried out to reveal the influence of the geometric error sources on the pose accuracy of the end-effector. Based upon the proposed sensitivity index, a accuracy synthesis model of the geometric error sources was established, in which the uniform design method was used to provide appropriate pose points within the workspace of the parallel mechanism. The optimal intervals of the geometric error sources of the parallel mechanism were derived and the accuracy class and the fitting tolerances of key components of the parallel mechanism were determined. The Pseudo Monte Carlo method of Sobol sequence was used to estimate the pose accuracy of the end-effector of the parallel mechanism. The simulation results showed that the optimal intervals of the geometric error sources obtained by accuracy synthesis met the accuracy requirements of the end-effector, confirming the feasibility of the accuracy design and providing a reference for the development of physical prototype. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 26

Main heading: Mechanisms

Controlled terms: Design? - ?End effectors? - ?Errors? - ?Fits and tolerances? - ?Geometry? - ?Monte Carlo methods? - ?Perturbation techniques? - ?Sensitivity analysis

Uncontrolled terms: Accuracy synthesis? - ?Geometric errors? - ?Interval analysis? - ?Over-constrained? - ?Parallel mechanisms? - ?Perturbation method? - ?Sensitivity indices? - ?Uniform design method

Classification code: 601.3 Mechanisms? - ?731.5 Robotics? - ?921 Mathematics? - ?922.2 Mathematical Statistics

DOI: 10.6041/j.issn.1000-1298.2021.07.046

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

43. Analysis and Optimization of 2R2T Parallel Mechanism with Coupling Kinematic Chain

Accession number: 20213110697321

Title of translation:

Authors: Wen, Rufeng (1, 2); Fang, Yuefa (1); Ye, Wei (3)

Author affiliation: (1) School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing; 100044, China; (2) School of Intelligent Engineering, Shandong Management University, Ji’nan; 250357, China; (3) Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou; 310018, China

Corresponding author: Fang, Yuefa(yffang@bjtu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 402-410

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: A parallel mechanism with coupling kinematic chain was proposed. The moving platform of the parallel manipulator with two rotations and two translations was connected to the fixed base through three kinematic limbs. Mobility of the parallel mechanism was analyzed based on Lie group theory. The moving platform of the mechanism can output two rotations and two translations. Position analysis was conducted through closed-loop vector approach, and inverse position solutions were obtained. The mechanism had two positive singular cases. Singularity analysis was conducted based on Jacobian matrix. Jacobian matrix of the mechanism was derived based on velocity analysis. Singularity analysis was carried out according to the rank reduction conditions of the Jacobian matrix. Workspace and singularity curves were analyzed. The principle of virtual work was used to establish stiffness model for the mechanism, and stiffness performance evaluation was conducted. To avoid stiffness degeneration caused by internal singularities, a redundant limb was added to the mechanism. Performance comparison in terms of stiffness and workspace between the mechanisms with and without redundant limb was carried out. Optimal design of the redundantly actuated mechanism was conducted to improve the average stiffness throughout its workspace. The variation law of the optimized target with the scale parameters can be obtained through numerical calculation. The results show that the stiffness performance of the optimized redundantly actuated mechanism is significantly improved. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 26

Main heading: Jacobian matrices

Controlled terms: Fixed platforms? - ?Inverse problems? - ?Kinematics? - ?Lie groups? - ?Manipulators? - ?Mechanisms? - ?Stiffness

Uncontrolled terms: Numerical calculation? - ?Parallel manipulators? - ?Parallel mechanisms? - ?Performance comparison? - ?Principle of virtual work? - ?Redundantly actuated? - ?Singularity analysis? - ?Velocity analysis

Classification code: 511.2 Oil Field Equipment? - ?601.3 Mechanisms? - ?921.1 Algebra? - ?931.1 Mechanics? - ?951 Materials Science

DOI: 10.6041/j.issn.1000-1298.2021.07.045

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

44. Multi-body Dynamics Modeling and Experiment of Triangular Tracked Chassis with High Ground Clearance

Accession number: 20213110696333

Title of translation:

Authors: Hu, Kai (1); Zhang, Wenyi (1); Li, Kun (1); Liu, Hongjun (1); Qi, Bing (1)

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

Corresponding author: Zhang, Wenyi(zwy-yxkj@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 386-394

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Triangular crawler chassis has the advantages of high ground clearance, low grounding pressure, good maneuverability, etc. Multi-body dynamics analysis is an important method to study the dynamic characteristics of crawler chassis. The triangular crawler chassis with high ground clearance was studied and its topological structure model and car body assembly were constructed. The constraints and motion relationship between the various parts were analyzed. The motion state of the tracked chassis in the driving and climbing process was studied. The contact model between load-bearing wheel and crawler, the crawler tension model and the contact model between crawler and soft ground were deduced and analyzed. The road spectra of class B-level road (cement hard ground pavement) and class E-level road (farmland soft soil surface) were established by harmonic superposition method. Then multi-body dynamics simulation and experiment verification were conducted. The results showed that the average speed error rate of the established model was less than 1.50%. The distance offset error of hard road was 5.68%, and that of soft soil road was 4.89%. The average pitch angle error was no more than 3%. The data indicated that the established multi-body dynamics model of triangular crawler chassis had high accuracy. The research conclusions and methods can be extended to the dynamic investigation of other tracked chassis. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Chassis

Controlled terms: End effectors? - ?Errors? - ?Maneuverability? - ?Mechanics? - ?Roads and streets? - ?Soil cement? - ?Topology

Uncontrolled terms: Contact modeling? - ?Dynamic characteristics? - ?Experiment verification? - ?Ground clearance? - ?Multi-body dynamic? - ?Multibody dynamics model? - ?Superposition method? - ?Topological structure

Classification code: 406.2 Roads and Streets? - ?662.4 Automobile and Smaller Vehicle Components? - ?731.5 Robotics? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory? - ?931.1 Mechanics

Numerical data indexing: Percentage 1.50e+00%, Percentage 3.00e+00%, Percentage 4.89e+00%, Percentage 5.68e+00%

DOI: 10.6041/j.issn.1000-1298.2021.07.043

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

45. Pistachio Visual Detection Based on Data Balance and Deep Learning

Accession number: 20213110695583

Title of translation:

Authors: Gao, Jiyue (1); Ni, Jiangong (1); Yang, Haoyan (1); Han, Zhongzhi (1)

Author affiliation: (1) School of Science and Information Science, Qingdao Agricultural University, Qingdao; 266109, China

Corresponding author: Han, Zhongzhi(hanzhongzhi@qau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 367-372

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: ”Happy or not” is an important content of pistachio quality detection. Combined with computer vision and deep learning network, a detection method of automatic data balance was proposed to explore the influence of data balance on pistachio quality detection. Firstly, a detection method of automatic data balance was proposed to explore the influence of data balance on pistachio quality detection. According to the industry standard, pistachio data sets were divided into three categories: open, closed and quality defect. Secondly, the data was formed into two data sets, one was the data set without data balance, the other was the data set after data balance. AlexNet, GoogLeNet, ResNet50, SqueezeNet, ShuffleNet and Xception were used to classify two kinds of datasets. The results showed that the accuracy of the network was improved after data balance, the average testing accuracy rate of six networks was increased from 96.75% to 99.26%. The accuracy rate of test set of SqueezeNet was improved the most obviously, which was from 93.76% to 99.02%, ResNet50 prediction accuracy rate was the highest, reached 99.96%. The rationality of network was verified by visualizing the location of high weight regions. The data balance method constructed had the same promotion value for other agricultural products quality detection, and also had a certain reference for other image classification projects. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 27

Main heading: Deep learning

Controlled terms: Agricultural products? - ?Agricultural robots? - ?Classification (of information)? - ?Learning systems

Uncontrolled terms: Detection methods? - ?Industry standards? - ?Learning network? - ?Prediction accuracy? - ?Products quality? - ?Quality detection? - ?Testing accuracy? - ?Visual detection

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

Numerical data indexing: Percentage 1.00e+02%, Percentage 9.38e+01% to 9.90e+01%, Percentage 9.68e+01% to 9.93e+01%

DOI: 10.6041/j.issn.1000-1298.2021.07.040

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

46. Six Degrees of Freedom Transfer and Attitude Adjustment Method of Mobile Parallel

Accession number: 20213110696834

Title of translation:

Authors: Yu, Rongrong (1); Li, Yongliang (1); Dong, Ligang (1); Lü, Chong (2); Wang, Guoxin (1)

Author affiliation: (1) Beijing Spacecrafts, Beijing; 100094, China; (2) Beijing Institute of Space Mechanics and Technology, Beijing; 100094, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 421-426

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming to improve the automatic attitude adjustment efficiency and accuracy and long-distance transfer of astronautic camera, a mobile six degrees of freedom attitude adjustment method, based on omni-directional mobile platform and 3-RPS parallel pose adjustment mechanism, was proposed. Firstly, the mathematical model and measurement coordinate system of attitude adjustment were established according to the actual application scenarios. Secondly, the current attitude of the camera and the target attitude were measured, and the attitude matrix of the current attitude relative to the target was derived according to the relationship between the measured actual attitude and the pose of each coordinate system. Thirdly, the motion parameters of each axis of the above mechanisms were inversely solved by the kinematic model. Then the motion model of the omni-directional platform and the parallel mechanism was established to realize the driving of the above motion parameters. Finally, the test verification showed that the attitude adjusting equipment was fast and accurate enough to realize the automatic flexible attitude adjustment of the large-scale camera. The moving accuracy of the omnidirectional mobile platform was within 0.3 mm, and the rotating accuracy was within 0.05°, and the rod length accuracy of the parallel mechanism was within 0.5 mm. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Degrees of freedom (mechanics)

Controlled terms: Cameras? - ?Drilling platforms? - ?Kinematics? - ?Mechanisms

Uncontrolled terms: Adjustment efficiency? - ?Adjustment mechanisms? - ?Application scenario? - ?Attitude adjusting? - ?Modeling and measurement? - ?Omni-directional mobiles? - ?Parallel mechanisms? - ?Six degrees of freedom

Classification code: 511.2 Oil Field Equipment? - ?601.3 Mechanisms? - ?742.2 Photographic Equipment? - ?931.1 Mechanics

Numerical data indexing: Size 3.00e-04m, Size 5.00e-04m

DOI: 10.6041/j.issn.1000-1298.2021.07.047

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village

47. Review of Key Techniques for Crop Disease and Pest Detection

Accession number: 20213110696321

Title of translation:

Authors: Zhai, Zhaoyu (1); Cao, Yifei (1); Xu, Huanliang (1); Yuan, Peisen (1); Wang, Haoyun (1)

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

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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 52

Issue: 7

Issue date: July 25, 2021

Publication year: 2021

Pages: 1-18

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Preventing and managing crop disease and pest has significant impacts on agricultural production. The prerequisite for disease and pest control is accurate detection. Traditional crop disease and pest detection methods rely on human labors and instructions. However, these methods can no longer meet the requirements of scientific research and production, such as detection efficiency, accuracy, and application scenarios. As a main stream of machine learning, deep learning can extract features of objects from large-scale datasets automatically and efficiently, thereby releasing traditional methods from manual feature extraction. Applying deep learning, combined with image processing techniques, to detect crop disease and pest becomes an inevitable trend of precision agriculture in the future. The key techniques in crop disease and pest detection depend on agricultural data. After reviewing the state of the art of key techniques in this domain, including data acquisition, data pre-processing, data augmentation, deep learning network optimization, data visualization, and explainability of results, the challenges of applying these key techniques were detected and summarized. Lastly, potential solutions were explored to highlight the future research lines in this domain, including defining multi-view agricultural datasets, combining transfer learning, adopting new data augmentation methods, and considering visualization and explanation issues. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 153

Main heading: Deep learning

Controlled terms: Agricultural robots? - ?Crops? - ?Data acquisition? - ?Data handling? - ?Data visualization? - ?Disease control? - ?Image processing? - ?Large dataset? - ?Learning systems? - ?Transfer learning ? - ?Visualization

Uncontrolled terms: Agricultural productions? - ?Application scenario? - ?Data preprocessing? - ?Detection efficiency? - ?Image processing technique? - ?Inevitable trends? - ?Large-scale datasets? - ?Scientific researches

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

DOI: 10.6041/j.issn.1000-1298.2021.07.001

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2021 Elsevier Inc.

Data Provider: Engineering Village