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2022年第4期共收录47

1. Dynamic Estimation FPAR of Summer Maize Based on GF-1 Satellite Data

Accession number: 20221912083372

Title of translation: GF-1FPAR

Authors: He, Jia (1, 2); Guo, Yan (1, 2); Zhang, Yan (1, 2); Yang, Xiuzhong (1, 2); Liu, Ting (1, 2); Wang, Laigang (1, 2)

Author affiliation: (1) Institution of Agricultural Economy and Information, Henan Academy of Agricultural Sciences, Zhengzhou; 450002, China; (2) Henan Engineering Laboratory of Crop Planting Monitoring and Warning, Zhengzhou; 450002, China

Corresponding authors: Wang, Laigang(wlaigang@sina.com); Wang, Laigang(wlaigang@sina.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 164-172 and 321

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The fraction of absorbed photosynthetically active radiation (FPAR) is a key parameter in various of photosynthetic capacity and productivity potential of crops. The great progress of quantitative remote sensing and various data products make FPAR products widely used in carbon cycle and vegetation research in different regional scales. In order to explore the FPAR estimation capability based on the GF-1 wide field view (GF-1 WFV), the canopy spectral reflectance and FPAR of summer maize were measured from regional field and field plot experiments, including five nitrogen fertilization levels and two summer maize varieties from jointing to maturity stage. Firstly, the multi-spectral broadband reflectance was simulated by using the measured canopy hyperspectral reflectance based on spectral response functions of GF-1 satellite with a spatial resolution, and then the vegetation index was established by this simulated reflectance. Secondly, totally 17 vegetation indices were selected on the basis of previous studies, and the quantitative relationship between FPAR and vegetation indices at different growth stages was analyzed. Thirdly, the vegetation indices with high correlation coefficient and extremely significant correlation with FPAR were selected, and estimation models of summer maize FPAR by a linear regression model or multiple stepwise regression model respectively, by analyzing determination coefficient (R2), standard error (SE), root mean squard error (RMSE) and relative error (RE) of the estimation model and validation model, the optimal model for FPAR estimation was screened. Finally, the optimal estimation models were used to estimate the FPAR dynamic variation and spatial distribution for summer maize from jointing to maturity stage by GF-1 satellite data. The results showed that the correlation coefficient (|R|) between simulated broad-band spectral reflectance and GF-1 spectral reflectance was 0.967~0.985, and the determination coefficient (R2) was 0.935~0.969, it showed that these was highly consistent between simulated spectral reflectance and GF-1 spectral reflectance. There was a good correlation between FPAR and the vegetation index constructed based on simulated reflectance, and the correlation coefficient of 3-band vegetation indexes was better than 2-band vegetation indexes, in particular, it was extremely significant (P2) of estimation model was 0.762~0.843, the coefficient of determination (R2) of validation model was 0.839~0.880, and the relative error (RE) was 7.037%~9.571%, it showed that the multiple stepwise regression model was better than simple linear regression model, and the multiple stepwise regression model could better estimate FPAR at different growth stages. The optimal model was used to estimate the spatial distribution and dynamics of FPAR at regional scale, and the measured values were validated. The R2 between the estimated and measured values was 0.819~0.856, and the relative error (RE) ranged was 8.41%~13.37%. These results indicated that the spatial distribution and dynamic variation of FPAR estimated based on simulated GF-1 WFV of hyperspectral reflectance were consistent with the actual spatial distribution, which provided a scientific basis for estimating regional FPAR and production potential of maize based on high resolution remote sensing data of GF-1 WFV. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 41

Main heading: Regression analysis

Controlled terms: Errors? - ?Nitrogen? - ?Reflection? - ?Remote sensing? - ?Vegetation

Uncontrolled terms: Dynamic variations? - ?Estimation models? - ?Fraction of absorbed photosynthetically active radiation? - ?GF-1? - ?HyperSpectral? - ?Multiple stepwise regression? - ?Photosynthetically active radiation? - ?Regression modelling? - ?Summer maize? - ?Vegetation index

Classification code: 804 Chemical Products Generally? - ?922.2 Mathematical Statistics

Numerical data indexing: Percentage 1.337E+01%, Percentage 7.037E+00%, Percentage 8.41E+00%, Percentage 9.571E+00%

DOI: 10.6041/j.issn.1000-1298.2022.04.017

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

2. Design and Experiment of Automatic Assembly Line for Combined Type Rice Potted-seedling Tray

Accession number: 20221912081594

Title of translation:

Authors: Ma, Zenghong (1, 2); Sun, Zeqiang (1); Du, Xiaoqiang (1, 2); Li, Yuechan (1); Yu, Yaxin (1, 2); Chen, Jianneng (1, 2)

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

Corresponding authors: Du, Xiaoqiang(xqiangdu@zstu.edu.cn); Du, Xiaoqiang(xqiangdu@zstu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 33-42 and 69

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Current rice potted-seedling production line fails to achieve full automation, especially the separation and supply of potted-seedling tray. A set of combined type rice potted-seedling tray consisting of a soft potted-seedling tray and its supporting hard tray was proposed, and an automatic assembly line was developed. The assembly line consisted of a separation mechanism for soft potted-seedling tray based on finger-clamp vacuum suction cup and a separation mechanism for hard tray based on linkage mechanism combined with a lifting platform, and by combining them to form a tray embedding mechanism. A vacuum suction cup was designed to be installed symmetrically through hinges to mimic the grasping action of human fingers. The vacuum adsorption method was used to clamp the soft potted-seedling tray without damaging the surface of the soft potted-seedling tray. The diameter of vacuum suction cup was determined to be 8mm through calculation. ANSYS was used to analyze the horizontal deformation of the soft potted-seedling tray when it was adsorbed and lifted by the vacuum sucker, and eight groups of vacuum suckers were determined and the reasonable layout was carried out to ensure that the deformation of the soft tray during lifting was less than 1mm. The results of simulation and practical test verified the feasibility of the design. The kinematics analysis of the linkage mechanism was carried out by using ADAMS, and the optimal lifting height of the lifting platform and the opening and closing angle of the connecting rod were determined. Therefore, the cylinder stroke used by the hard tray separation mechanism was selected as 30 mm. The control system of the whole machine was designed, and the movement of the whole machine was realized by the combination of stepping motor and cylinder. Through the analysis of motion flow and timetable, the travel switch was selected as the common signal of the two parts of the mechanism to carry out appropriate timing distribution and ensure the highest efficiency. The overall machine was modeled using SolidWorks. Based on the machine model, the prototype was manufactured, and the experiments of separating and embedding tray were carried out. 220 V single-phase alternative current was used to power the air compressor and the prototype machine. The pressure regulating valve of the main pneumatic circuit was set to be 0.45 MPa. The experimental results showed that the success rate of the hard tray separation mechanism was 97%, and the efficiency was 1 000 trays/h. The success rate of separation mechanism for soft potted-seedling tray was 94.25%. When the speed of separation and embedding tray was 600 sets/h, the success rate was 93.25%. The assembly line ran smoothly, and there was no cumulative deviation in multiple tests, which met the working requirements of the rice seeding line. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 30

Main heading: Assembly

Controlled terms: Cylinders (shapes)? - ?Deformation? - ?Embeddings? - ?Manufacture? - ?Stepping motors

Uncontrolled terms: Assembly line? - ?Automatic assembly? - ?Combined type seedling tray? - ?Embedding mechanism? - ?Embeddings? - ?Linkage mechanism? - ?Rice potted seedling? - ?Separation mechanism? - ?Vacuum suction cup? - ?Whole machine

Classification code: 537.1 Heat Treatment Processes? - ?705.3 Electric Motors? - ?723.4 Artificial Intelligence? - ?913.4 Manufacturing

Numerical data indexing: Size 3.00E-02m, Size 8.00E-03m, Voltage 2.20E+02V, Percentage 9.325E+01%, Percentage 9.425E+01%, Percentage 9.70E+01%, Pressure 4.50E+05Pa, Size 1.00E-03m

DOI: 10.6041/j.issn.1000-1298.2022.04.003

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

3. Mechanism of Bio-organic Fertilizer on Potato Yield and Soil Nitrogen-cycling

Accession number: 20221912083933

Title of translation:

Authors: Zhao, Jianyu (1); Wang, Fengxin (1); Meng, Chaobiao (1, 2); Jin, Song (3); Peng, Min (4)

Author affiliation: (1) College of Water Resources and Civil Engineering, China Agricultural University, Beijing; 100083, China; (2) Institute of Soil and Water Resources and Environmental Science, Zhejiang University, Hangzhou; 310058, China; (3) Department of Civil and Architectural Engineering, University of Wyoming, Laramie; WY; 82071, United States; (4) Yuan Taifeng (Baotou) Biotechnology Co., Ltd., Baotou; 014199, China

Corresponding author: Wang, Fengxin(fxinwang@cau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 343-351

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The effects of coal-based bio-organic fertilizer on potato yield, soil physical and chemical properties and abundance of nitrogen-cycling microbes under drip irrigation were studied, aiming to reveal the mechanism of the fertilizer on crop yield and soil nitrogen cycle. A field experiment was conducted from May to September in 2019, located in Guyang County, Inner Mongolia. Totally 1 500 kg/hm2 (BF1), 3 000 kg/hm2 (BF2), 4 500 kg/hm2 (BF3) of coal-based bio-organic fertilizer and no organic fertilizer (CF) were applied respectively on the same levels of chemical fertilizations. The chemical fertilizers were 210 kg/hm2 of nitrogen (N), 150 kg/hm2 of phosphorus (P2O5) and 180 kg/hm2 of potassium (K2O). The field experiment included four treatments and each treatment was repeated three times. Plant dry matter accumulation and tuber yield were quantified at potato maturity and harvest periods, respectively. Samples were collected from 0~20 cm layer for analysis of physicochemical properties of soil and abundances of nitrogen cycling microbes before tuber harvesting. The abundances of bacteria (16S rRNA), fungi (ITS) and nitrogen cycle functional genes (nirS, ammonia-oxidizing bacteria amoA, nifH) were quantified by quantitative real-time PCR techniques. Compared with CF, increasing the coal-based bio-organic fertilizer ratio could significantly increase the dry matter accumulation of plant and tuber. The total tuber yield was increased by 5.30%~9.49% with the organic fertilizer increasing. The soil pH value of organic fertilizer treatments was significantly lower but organic carbon content was higher than that of CF. The abundance of soil bacteria and fungi was decreased with the increase of organic fertilizer application, but it was higher than that of CF. The abundance of microbial genes related to soil nitrogen-cycling responded positively to the addition of organic fertilizer. Furthermore, the gene abundance of nitrite reductase (nirS) was significant, while nitrogenase (nifH) and ammonia monooxygenase (amoA) of ammonia-oxidizing bacteria (AOB) were not significant. The content of soil organic carbon appeared to be the key factor influencing the abundance of nirS-type denitrifying bacteria. Overall, these results indicated that the proportion of soil bacteria and fungi could be regulated through proper application of the coal-based bio-organic fertilizer. Soil nitrogen cycle would be affected by the coal-based bio-organic fertilizer. The abundance of nirS gene was more sensitive to the addition of organic fertilizer than that of other functional genes. The coal-based bio-organic fertilizer would help to improve the productivity of potato fields, and the application of 4 500 kg/hm2 had a better performance. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 49

Main heading: Genes

Controlled terms: Ammonia? - ?Bacteria? - ?Coal? - ?Denitrification? - ?Irrigation? - ?Organic carbon? - ?Physicochemical properties? - ?Polymerase chain reaction? - ?RNA? - ?Soils ? - ?Tubes (components)

Uncontrolled terms: Bio-organic fertilizer? - ?Function microorganism? - ?Nitrite reductase? - ?Nitrogen cycles? - ?Nitrogen-cycling? - ?Organic fertilizers? - ?Potato? - ?Potato yield? - ?Soil nitrogen? - ?Yield

Classification code: 461.2 Biological Materials and Tissue Engineering? - ?483.1 Soils and Soil Mechanics? - ?524 Solid Fuels? - ?619.1 Pipe, Piping and Pipelines? - ?801.2 Biochemistry? - ?801.4 Physical Chemistry? - ?802.2 Chemical Reactions? - ?804.1 Organic Compounds? - ?804.2 Inorganic Compounds? - ?821.3 Agricultural Methods

Numerical data indexing: Mass 0.00E00kg, Mass 1.50E+02kg, Mass 1.80E+02kg, Mass 2.10E+02kg, Mass 5.00E+02kg, Percentage 5.30E+00%, Percentage 9.49E+00%, Size 0.00E00m to 2.00E-01m

DOI: 10.6041/j.issn.1000-1298.2022.04.036

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

4. Effects of Biochar on Soil Physical and Chemical Properties and Salt in Cotton-Sugarbeet Intercropping Field

Accession number: 20221912081663

Title of translation: -

Authors: Wang, Xiaofang (1); Li, Yi (1, 2); Yao, Ning (2); Liu, Hongguang (3); Fan, Xiangyang (1); Zhang, Xuan (4)

Author affiliation: (1) Farmland Irrigation Research Institute, Chinese Academy of Agricultural Sciences, Xinxiang; 453002, China; (2) College of Water Resources and Architecture Engineering, Northwest A&F University, Yangling; 712100, China; (3) College of Water and Architectural Engineering, Shihezi University, Shihezi; 832003, China; (4) Institute of Agricultural Science of the Third Division of Xinjiang Production and Construction Corps, Toumchouq; 843900, China

Corresponding authors: Li, Yi(liyi@nwafu.edu.cn); Li, Yi(liyi@nwafu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 352-362

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Soil salinization has been a main factor to restrict the agricultural development in Xinjiang. In recent years, biochar has played an important role in improving soil quality. To study the effects of different biochar application amounts on soil properties and salt content, the cotton-sugarbeet intercropping field experiments were conducted under plastic film-mulched drip irrigation in the saline-alkali soils in Xinjiang, China from 2018 to 2020. The irrigation pattern of “one plastic film, two drip lines, and four rows of cotton plants” was referred to the local mode. The biochar application amounts were 0 t/hm2, 10 t/hm2, 50 t/hm2 and 100 t/hm2 in 2018. And biochar application amount of 25 t/hm2 was added in 2019. Based on the results in 2018 and 2019, the biochar application amount were 0 t/hm2, 10 t/hm2, 25 t/hm2 and 30 t/hm2 in 2020. The biochar was added to the top 30 cm and then mixed with soils. Soil samples at different depths were collected during growth periods to measure the electronic conductivity, pH value and soil organic matter. The effects of different biochar application amounts on soil pH value, organic matter and salt content were analyzed. The results showed that the application of biochar significantly reduced soil pH value for the 0~30 cm soil layer. The reduction was directly proportional to the biochar application amounts. Biochar reduced the pH value for 30~40 cm soil layer, but the effect was insignificant. Due to rich organic matter contents in biochar, the soil organic matter was increased by 31.8%~135.8% for the biochar applied treatments. In the vertical direction, the soil salt content in shallow layer was larger than that in the deep layer. In the horizontal direction, the soil salt content in the no mulched zone was higher than that under the emitter. Application of biochar promoted the leaching of salt. When the biochar application amount were 10 t/hm2 and 25 t/hm2, the salt leaching rate was ranged in 14.7%~22.3%, which was higher than that of other treatments. Taking the salt leaching and economic cost in biochar into consideration, the appropriate biochar application amount was recommended to be 10 t/hm2. The research result can provide some reference for application of biochar to improve saline-alkali soil in Xinjiang. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 36

Main heading: Soils

Controlled terms: Biogeochemistry? - ?Cotton? - ?Leaching? - ?Organic compounds? - ?pH? - ?Plants (botany)? - ?Plastic films? - ?Soil surveys

Uncontrolled terms: Biochar? - ?Cotton-sugarbeet intercropping? - ?pH value? - ?Plastic-film? - ?Saline-alkali soils? - ?Salt content? - ?Soil pH? - ?Soil ph value? - ?Soil salt content? - ?Xinjiang

Classification code: 481.2 Geochemistry? - ?483.1 Soils and Soil Mechanics? - ?801.1 Chemistry, General? - ?801.2 Biochemistry? - ?802.3 Chemical Operations? - ?804.1 Organic Compounds? - ?817.1 Polymer Products? - ?821.4 Agricultural Products

Numerical data indexing: Percentage 1.358E+02%, Percentage 1.47E+01%, Percentage 2.23E+01%, Percentage 3.18E+01%, Size 0.00E00m to 3.00E-01m, Size 3.00E-01m, Size 3.00E-01m to 4.00E-01m, Size 5.08E-02m

DOI: 10.6041/j.issn.1000-1298.2022.04.037

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

5. Effect of Farmland Drainage on Improving Saline Soil and Environmental Pollution

Accession number: 20221912081769

Title of translation:

Authors: Dou, Xu (1, 2); Shi, Haibin (1, 2); Li, Ruiping (1, 2); Miao, Qingfeng (1, 2); Yan, Jianwen (1, 2); Tian, Feng (1, 2)

Author affiliation: (1) College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Huhhot; 010018, China; (2) High Efficiency Water-saving Technology and Equipment and Soil Water Environment Engineering Research Center of Inner Mongolia Autonomous Region, Huhhot; 010018, China

Corresponding authors: Shi, Haibin(shi_haibin@sohu.com); Shi, Haibin(shi_haibin@sohu.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 372-385

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to explore the improvement effect of salinized soil and the impact of environmental pollution on the process of farmland drainage in Hetao Irrigation District, a typical branch canal irrigation control area was selected in the Hetao Irrigation District Urad Irrigation Area subsurface drainage comprehensive experimental area from 2019 to 2020. Systematic experiments were carried out on the hydrological process, the transformation, migration and collection process of pollutants during each crop irrigation period. The results showed that the DRAINMOD model can better simulate farmland drainage. The relative error (RE) between the simulated value and the measured value was 4.12%~13.44%, the correlation coefficient (R) was 0.80~0.92, and the efficiency coefficient (NS) was 0.82~0.90, all within the error range. The drainage process of bucket ditch and branch ditch is calculated by using Muskingen method and on this basis, the migration, transformation and pooling processes of NH4+, NO3-, reducing substance and salinity were analyzed. The simulation results of the drainage process and the concentrations of NH4+, NO3-, reducing substance and salinity were in good agreement with the measured values, indicating that this method can macroscopically describe the environmental pollution process formed by different drainage components in the irrigation area. The total emissions of main pollutants in the test area was reducing substance, NO3- and NH4+, in descending order, which were 349.47~363.10 kg, 80.56~87.79 kg, and 6.79~7.18 kg, respectively. After two years of irrigation and leaching, the soil desalination rate was decreased from top to bottom in the soil. The soil desalination rate of the 0~20 cm soil in the dark pipe drainage test area was 67.56%, which was 5.12 and 16.84 percentage points higher than those of 20~40 cm and 40~100 cm, respectively; 40~100 cm were 12.90 and 15.58 percentage points higher respectively.After leaching, the soil salinity was changed from the surface accumulation type to the uniform type, and the soil EC values of the concealed pipe drainage and the open ditch drainage were between 2.20~2.63 dS/m and 0.61~0.65 dS/m after the autumn irrigation of 2020. The areas of moderately salinized soil and saline soil types in the experimental area were decreased, the area of moderately salinized soil was decreased by 2.94 percentage points, and the area of saline soil was decreased by 29.42 percentage points. Non-saline soil, lightly and severely salinized soil increased by 2.94, 8.83 and 20.59 percentage points, respectively. Saline soil contributed the most to the soil desalination rate in the experimental area, which was 126.77%. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 43

Main heading: Soils

Controlled terms: Desalination? - ?Drainage? - ?Efficiency? - ?Farms? - ?Groundwater? - ?Irrigation? - ?Leaching? - ?Pollution control? - ?Soil pollution

Uncontrolled terms: DRAINMOD? - ?DRAINMOD model? - ?Environmental pollutions? - ?Farmland drainage? - ?Hetao irrigation districts? - ?Improvement? - ?Irrigation area? - ?Percentage points? - ?Reducing substances? - ?Saline soil

Classification code: 444.2 Groundwater? - ?445.1 Water Treatment Techniques? - ?483.1 Soils and Soil Mechanics? - ?802.3 Chemical Operations? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.3 Agricultural Methods? - ?913.1 Production Engineering

Numerical data indexing: Mass 3.4947E+02kg to 3.631E+02kg, Mass 6.79E+00kg to 7.18E+00kg, Mass 8.056E+01kg to 8.779E+01kg, Percentage 1.2677E+02%, Percentage 1.344E+01%, Percentage 4.12E+00%, Percentage 6.756E+01%, Size 0.00E00m to 2.00E-01m, Size 2.00E-01m to 4.00E-01m, Size 4.00E-01m to 1.00E00m

DOI: 10.6041/j.issn.1000-1298.2022.04.039

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

6. Detection Method of Severe Adhesive Wheat Grain Based on YOLO v5-MDC Model

Accession number: 20221912083752

Title of translation: YOLO v5-MDC

Authors: Song, Huaibo (1, 2); Wang, Yunfei (1, 2); Duan, Yuanchao (1, 2); Song, Lei (1, 2); Han, Mengxuan (1, 2)

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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 245-253

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Wheat grain detection has important applications in the calculation of thousand-grain weight and crop breeding, and the effective detection of heavily adhesive grains is the key issue should be solved. A lightweight network called YOLO v5-MDC was designed for the detection of heavily adhesive wheat grains to provide technical support for the development of mobile terminals. The YOLO v5s detection network was chosen and the mixed depthwise convolutional (MDC) module was carried out to improve it. At the same time, the MDC module combined with a squeeze and excitation(SE) module was applied to achieve the purpose of reducing model parameters without losing the accuracy of the model. The YOLO v5-MDC network replaced the convolution, batch normal, Hardswish (CBH) modules of the backbone of the YOLO v5s feature extraction network with the MDC module, reducing the model parameters. After 500 iterations of training, the accuracy of the model reached 93.15%, the recall rate reached 99.96%, and the average accuracy rate (mAP) reached 99.46%. According to the detection effect of the model on the test set, the impact of training times, different light sources and different shooting distances on the model’s detection effect was explored. The statistical results showed that the model detection accuracy rate was the highest under the green light source, and the image detection accuracy rate was the highest under the shooting height of 5 cm. The research results were also compared with YOLO v5s, RetinaNet and YOLO v4 network models in 50 iterations. The results showed that the mAP of YOLO v5-MDC model was 99.40%, which was 0.06 percentage points lower than that of the original YOLO v5s model, but the model occupied the smallest storage space, with a result of only 13.4 MB, which was 0.6 MB less than the YOLO v5s model. The average detection time for single image was 0.03 s, and the maximum detection time was 0.08 s. In summary, the designed model can effectively realize the detection of heavily adhesive wheat grains. At the same time, the model had high detection efficiency and small storage space, which can provide necessary technical support for the development of embedded equipment for wheat grain detection. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 31

Main heading: Convolution

Controlled terms: Adhesives? - ?Convolutional neural networks? - ?Feature extraction? - ?Grain (agricultural product)? - ?Light sources

Uncontrolled terms: Accuracy rate? - ?Adhesive target detection? - ?Convolutional model? - ?Detection effect? - ?Mixed depthwise convolutional? - ?Modeling parameters? - ?Targets detection? - ?Technical support? - ?Wheat grains? - ?YOLO v5

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

Numerical data indexing: Percentage 9.315E+01%, Percentage 9.946E+01%, Percentage 9.94E+01%, Percentage 9.996E+01%, Size 5.00E-02m, Time 3.00E-02s, Time 8.00E-02s

DOI: 10.6041/j.issn.1000-1298.2022.04.026

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

7. Remote Sensing Monitoring of Recessive Degradation for Cultivated Land Productivity and Its Influencing Factors

Accession number: 20221912083427

Title of translation:

Authors: Li, Zhuo (1, 2); Zha, Sihan (2); Huo, Wei (2); Wang, Linlin (2); Guo, Wenhua (1, 3); Sun, Danfeng (2)

Author affiliation: (1) Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen; 518034, China; (2) College of Land Science and Technology, China Agricultural University, Beijing; 100193, China; (3) Information Center, Ministry of Natural Resources, Beijing; 100036, China

Corresponding author: Sun, Danfeng(sundf@cau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 363-371

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: While sticking to the arable-land red line, the recessive degradation of arable land productivity caused by farmers’ decisions on the use of cultivated land should not be ignored, such as the reduction of the intensity and efficiency of cultivated land use. Taking permanent cultivated land in Jiangsu Province as an example, remote sensing monitoring and influencing factor analysis of recessive degradation were carried out for cultivated land productivity, based on the moderate resolution imaging spectroradiometer(MODIS)remote sensing images from 2001 to 2019. The breaks for additive seasonal and trend algorithm(BFAST)was introduced to model the expected behavior of cultivated land productivity trend in the historical period, in order to identify the recessive degradation of cultivated land productivity in the monitoring period. Based on the Geodetor tool, the dominant influencing factors and factor interaction analysis of the recessive degradation of cultivated land productivity were carried out from three criteria levels and eight index variables. The results indicated that the proportion of recessive degradation for cultivated land productivity in Jiangsu Province was 21.9%, with a significant spatial difference. The highest proportion of recessive degradation of cultivated land productivity appeared in the northwest area, located in Xuzhou and Suqian, which was 47.2% and 43.4%, respectively; besides, their spatial distribution showed aggregation. The recessive degradation rate of cultivated land productivity in Suzhou, Wuxi and Nantong in the southeast region was low, and it was less than 10%. Factor detection analysis showed that the three indicators of population loss, plantation employees and total power of agricultural mechanization had the strongest explanation for recessive degradation of cultivated land production in Jiangsu Province. Through the interaction detector, the explanatory power of population factors and production conditions was improved most significantly. The regional differentiation of recessive degradation for cultivated land production was divided into three types, including production condition constraint, economic benefit constraint and population constraint. The total power of agricultural mechanization, agricultural output value and population loss were the primary factors of the three constraint types respectively. From the perspective of regional space, the population constraint areas accounted for the largest proportion in Jiangsu Province, mainly concentrated in the north. According to different constraints types of recessive degradation for cultivated land production, the corresponding policy suggestions were put forward, such as strengthening the construction of well-facilitated farmland, implementing benefiting-agriculture policies and slowing down the diversion of labor. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 33

Main heading: Degradation

Controlled terms: Agriculture? - ?Factor analysis? - ?Land use? - ?Productivity? - ?Remote sensing? - ?Space optics

Uncontrolled terms: Arable land? - ?Break for additive seasonal and trend algorithm algorithm? - ?Cultivated land productivity? - ?Cultivated lands? - ?Geodetor tool? - ?Influencing factors analysis? - ?Jiangsu province? - ?Land productivities? - ?Recessive degradation? - ?Remote sensing monitoring

Classification code: 403 Urban and Regional Planning and Development? - ?656.1 Space Flight? - ?741.1 Light/Optics? - ?802.2 Chemical Reactions? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?922.2 Mathematical Statistics

Numerical data indexing: Percentage 1.00E+01%, Percentage 2.19E+01%, Percentage 4.34E+01%, Percentage 4.72E+01%

DOI: 10.6041/j.issn.1000-1298.2022.04.038

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

8. Optimization of Enzymatic Hydrolysis Process for Ossein Peptide with Low Molecular Weight and Its Characteristics Analysis

Accession number: 20221912081606

Title of translation:

Authors: Yao, Yumei (1); Yuan, Xiangru (1); Han, Lujia (1); Yang, Zengling (1); Liu, Xian (1)

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

Corresponding author: Liu, Xian(lx@cau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 386-393 and 422

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: As a high-quality renewable protein source, the deep processing utilization of bone protein is beneficial to the consummation of the efficient utilization of animal bone resources, the increase of the processing by-products value-added, and the solution of serious environmental issues owing to the improper handling. However, due to the complex enzymolysis processes, the ossein peptides often suffer from poor dimension uniformity and poor performance stability of raw material, which will limit their materialized utilization. Therefore, it is of great significance to explore the effects of different enzymatic hydrolysis processes on the material properties of ossein peptides. The effects of different kinds of proteases, mainly including alkaline lipase, flavorzyme, protamex, neutral protease, and alkaline protease on the enzymolysis efficiency of bovine waste proteins were investigated, with the degree of hydrolysis (DH) as the response variable. The optimum enzymolysis process for ossein peptide with low molecular weight was determined by systematically analyzing the improvement of enzymatic hydrolysis of different kinds of proteases. Furthermore, the mechanisms were explored by analyzing the changes of various properties of the products in the enzymatic hydrolysis. It was found that the ossein peptides prepared by the process of lipase pretreatment-alkaline protease-protamex had the best overall performance. The enzymatic hydrolysis process was optimal as follows, at 0.09 g/mL substrate mass concentration and initial pH value 7.5, with 0.08% lipase, followed by 4 h incubation at 40, followed by alkaline protease(addition of enzyme was 0.36 U/g) at 60 for 5 h, and finally, protamex (addition of enzyme was 0.36 U/g) was incubation at 55 for 5 h. The DH reached 16.12%, and the content of total amino acids (TAA) reached 171.571 mg/g. Meanwhile, the value of Mw, Mw/Mn, and the Mz/Mw was 883 Da, 9.73 and 7.91, respectively. However, after the process of lipase pretreatment-alkaline protease-flavorzyme, the DH and FAA reached the maximum of 19.02% and 257.760 mg/g. In addition, the cost input was the least when the physicochemical properties and molecular weight distributions (MWD) of ossein peptide samples were not significantly different from other samples. The results showed that finding the equilibrium point between the DH and the physicochemical properties of ossein peptides was conducive to the economy of protein recycling, cleaner production, and the security and stability of the new composites. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 31

Main heading: Peptides

Controlled terms: Alkalinity? - ?Efficiency? - ?Enzymatic hydrolysis? - ?Mammals? - ?Molecular weight distribution? - ?Optimization? - ?Physicochemical properties

Uncontrolled terms: Alkaline protease? - ?Bone powders? - ?Bovine bone? - ?Bovine bone powder? - ?Characteristics analysis? - ?Degree of hydrolysis? - ?Enzymolysis? - ?Hydrolysis process? - ?Ossein peptide? - ?Protamex

Classification code: 461.9 Biology? - ?801.1 Chemistry, General? - ?801.2 Biochemistry? - ?801.4 Physical Chemistry? - ?802.2 Chemical Reactions? - ?804.1 Organic Compounds? - ?913.1 Production Engineering? - ?921.5 Optimization Techniques? - ?931.3 Atomic and Molecular Physics

Numerical data indexing: Mass density 9.00E+01kg/m3, Percentage 1.612E+01%, Percentage 1.902E+01%, Percentage 8.00E-02%, Time 1.44E+04s, Time 1.80E+04s, null 1.71571E+02null, null 2.5776E+02null

DOI: 10.6041/j.issn.1000-1298.2022.04.040

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

9. Experiment on Suspension Separation of Residual Film and Impurity Based on EDEM-Fluent Coupling

Accession number: 20221912083925

Title of translation: EDEM-Fluent

Authors: Jin, Wei (1, 2); Zhang, Xuejun (2, 3); Ding, Youchun (1); Bai, Shenghe (4); Liu, Weipeng (1); Zhou, Xincheng (2, 3)

Author affiliation: (1) College of Engineering, Huazhong Agricultural University, Wuhan; 430070, China; (2) College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi; 830052, China; (3) Key Laboratory of Innovative Design, Xinjiang Agricultural Engineering Equipment, Urumqi; 830052, China; (4) State Key Laboratory of Soil-Plant-Machine System Technology, Chinese Academy of Agricultural Mechanization Sciences Group Co., Ltd., Beijing; 100083, China

Corresponding authors: Zhang, Xuejun(zhaxjau@sina.com); Zhang, Xuejun(zhaxjau@sina.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 89-98

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In view of the differences in density, suspension speed and flow characteristics between residual film and soil, straw and other impurities, a suspension separation method based on EDEM-Fluent was proposed. Three methods for measuring the suspension separation velocity of residual film, cotton straw and soil mixture, namely theoretical calculation method, simulation analysis method and bench test method were introduced. Three methods were used to determine the residual film suspension separation velocity. The EDEM-Fluent coupling method was used to simulate the suspension separation process of residual film and impurities. When the total mass of soil and straw in the three residual film mixtures was 40% (30% of soil), 60% (50% of soil) and 80% (70% of soil), the simulation numerical range of residual film suspension velocity were respectively 4.77~5.83 m/s, 4.89~6.46 m/s and 5.31~7.40 m/s. Determination of suspension separation velocity of three residual film mixtures by bench test were respectively in the range of 4.67~5.77 m/s, 4.88~6.37 m/s and 5.29~7.22 m/s. The relative error range between the software simulation and the bench test was 0.77%~4.79%, which verified the feasibility of measuring the suspension separation velocity of the residual film mixture based on EDEM-Fluent coupling method. The impurity in the mixture changed the shape variable and motion characteristic of the residual film, thus affecting the suspension velocity and position of the residual film. The lower limit of the simulation value of the residual film suspension separation speed was significantly different from that of the bench test, so the lower limit value of the simulation and bench test results was selected to calculate the correction coefficient, and the average value of the correction coefficient of the residual film suspension separation speed was 0.95. According to the field experiment, the optimal wind speed for separation of residual film and impurities and recovery of residual film was 5~7 m/s. At this point, the recovered film contains impurities rate and film recovery rate were 20.47% and 83.62%, respectively. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 33

Main heading: Mixtures

Controlled terms: Recovery? - ?Software testing? - ?Soils? - ?Suspensions (fluids)? - ?Velocity? - ?Wind

Uncontrolled terms: Bench tests? - ?Correction coefficients? - ?Coupling methods? - ?Fluents? - ?Gas-solid couplings? - ?Residual film mixture? - ?Residual films? - ?Residual impurities? - ?Suspension separation? - ?Suspension velocity

Classification code: 443.1 Atmospheric Properties? - ?483.1 Soils and Soil Mechanics? - ?723.5 Computer Applications? - ?804 Chemical Products Generally

Numerical data indexing: Percentage 2.047E+01%, Percentage 3.00E+01%, Percentage 4.00E+01%, Percentage 4.79E+00%, Percentage 5.00E+01%, Percentage 6.00E+01%, Percentage 7.00E+01%, Percentage 7.70E-01%, Percentage 8.00E+01%, Percentage 8.362E+01%, Velocity 4.67E+00m/s to 5.77E+00m/s, Velocity 4.77E+00m/s to 5.83E+00m/s, Velocity 4.88E+00m/s to 6.37E+00m/s, Velocity 4.89E+00m/s to 6.46E+00m/s, Velocity 5.00E+00m/s to 7.00E+00m/s, Velocity 5.29E+00m/s to 7.22E+00m/s, Velocity 5.31E+00m/s to 7.40E+00m/s

DOI: 10.6041/j.issn.1000-1298.2022.04.009

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

10. Design and Experiment of Wheel Seed Metering Device with Guide Ring Groove Combining U-hole for Radix peucedani

Accession number: 20221912083735

Title of translation: U

Authors: Fang, Liangfei (1, 2); Cao, Chengmao (1, 2); Qin, Kuan (1, 2); Ge, Jun (1, 2)

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

Corresponding authors: Cao, Chengmao(ccm@ahau.edu.cn); Cao, Chengmao(ccm@ahau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 21-32 and 51

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to promote the whole mechanized production of Chinese herbal medicine and solve the problem of no suitable sowing device in the Radix peucedani planting, a kind of wheel seed metering device with guide ring groove combining U-hole was proposed. The structure and working principle of the planter and seed metering device were described. The key structural and working parameters of seed metering device were analyzed according to the shape characteristics and main physical and mechanical parameters of Radix peucedani seed. The mechanical model of seed particle group during seed filling and seed supplying was established. The performance of seed metering device was simulated and optimized by using discrete element software EDEM. The influence of U-hole depth, U-hole width and seed guide ring dip angle on average sowing amount per second and the variation coefficient of seed row uniformity were studied. Box-Behnken response surface optimization method was adopted to carry out three-factor and three-level orthogonal simulation experiment. The average sowing amount per second and variation coefficient of seeding uniformity were 0.199 g/s and 12.37%, respectively, when the U-hole depth was 4.65 mm, U-hole width was 13.63 mm, and the seed guide ring dip angle was 47.01°. A two-factor and five-level quadratic regression orthogonal rotation combined bench test of seed supplying performance was carried out. The test factors were set as the rotation speed of seeding wheel and the initial filling height of seed layer. The test indexes were variation coefficient of uniformity of seeding in row, variation coefficient of total seeding stability, variation coefficient of seeding amount uniformity in each row. Bench test results showed that seed metering device had the best performance when the rotation speed of seeding wheel was 25.69 r/min and the initial filling height of seed layer was 46.70 mm, and variation coefficient of uniformity of seeding in a row, variation coefficient of total seeding stability and variation coefficient of seeding amount uniformity in each row were 18.62%, 1.60% and 2.96%, respectively. Field test demonstrated that variation coefficient of uniformity of seeding in a row, variation coefficient of seeding uniformity and variation coefficient of seeding amount uniformity in each row were 22.54%, 1.95% and 3.66%, respectively when the planter’s forward speed was 1.2 km/h. The research result can provide reference for the design of seed metering apparatus for flat and irregular shape crops seeds. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 27

Main heading: Seed

Controlled terms: Filling? - ?Medicine? - ?Plants (botany)? - ?Rotation? - ?Testing? - ?Wheels

Uncontrolled terms: Coefficient of uniformity? - ?Dip angle? - ?Guide ring groove? - ?Hole depth? - ?Performance? - ?Radix peucedani? - ?Ring grooves? - ?Seed-metering device? - ?U-hole? - ?Variation coefficient

Classification code: 461.6 Medicine and Pharmacology? - ?601.2 Machine Components? - ?691.2 Materials Handling Methods? - ?821.4 Agricultural Products? - ?931.1 Mechanics

Numerical data indexing: Angular velocity 4.29023E-01rad/s, Mass flow rate 1.99E-04kg/s, Percentage 1.237E+01%, Percentage 1.60E+00%, Percentage 1.862E+01%, Percentage 1.95E+00%, Percentage 2.254E+01%, Percentage 2.96E+00%, Percentage 3.66E+00%, Size 1.20E+03m, Size 1.363E-02m, Size 4.65E-03m, Size 4.67E-02m

DOI: 10.6041/j.issn.1000-1298.2022.04.002

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

11. Glycolysis Capacity of Bovine Muscle during Early Stage of Postmortem Aging under Action of HIF-1α

Accession number: 20221912084141

Title of translation: HIF-1α

Authors: Chen, Cheng (1); Guo, Yuxuan (1); Shi, Xixiong (1); Guo, Zhaobin (1); Ma, Guoyuan (1); Yu, Qunli (1)

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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 403-411

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming to investigate the effect mechanism of hypoxia-inducible factor-1α (HIF-1α) on glycolysis capacity of postmortem bovine muscle, the bovine M. Longissimus dorsi was selected as the experimental material, the cellular aggregation and nuclear migration of HIF-1α, expression of HIF-1α and glycogen transporter-1, glycolysis rate-limiting enzymes activities, glycolytic potential, and pH values were determined at different time points of postmortem aging (0 h, 6 h, 12 h, 24 h, and 48 h) in the control group and 3-(5’-hydroxymethyl-2’-furyl)-1-benzyl indazole (YC-1)-treated group. The results showed that HIF-1α was aggregated and translocated to the cell nucleus in bovine muscle at the early stage of postmortem aging. The expression levels of HIF-1α were increased by 1.20-fold at 0~6 h (P ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 30

Main heading: Pathology

Controlled terms: Mammals? - ?Muscle? - ?pH? - ?Proteins

Uncontrolled terms: Bovine muscle? - ?Control groups? - ?Effect mechanism? - ?Expression levels? - ?G protein? - ?Hypoxia-inducible factor-1α? - ?Hypoxia-inducible factors? - ?pH value? - ?Postmortem aging? - ?Rate-limiting enzymes

Classification code: 461.2 Biological Materials and Tissue Engineering? - ?461.6 Medicine and Pharmacology? - ?801.1 Chemistry, General? - ?804.1 Organic Compounds

Numerical data indexing: Time 0.00E00s, Time 0.00E00s to 2.16E+04s, Time 0.00E00s to 4.32E+04s, Time 1.728E+05s, Time 2.16E+04s to 1.728E+05s, Time 2.16E+04s, Time 2.16E+04s to 8.64E+04s, Time 4.32E+04s, Time 8.64E+04s

DOI: 10.6041/j.issn.1000-1298.2022.04.042

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

12. Tree-rings Measurement Method Based on Micro Drill Resistance

Accession number: 20221912081247

Title of translation:

Authors: Yao, Jianfeng (1); Zhao, Yandong (2); Fu, Liyong (3, 4); Song, Xinyu (5); Lu, Jun (3, 4); Li, Shasha (1)

Author affiliation: (1) College of Computer and Information Technology, Xinyang Normal University, Xinyang; 464000, China; (2) School of Technology, Beijing Forestry University, Beijing; 100083, China; (3) Research Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing; 100091, China; (4) Key Laboratory of Forest Management and Growth Modelling, National Forestry and Grassland Administration, Beijing; 100091, China; (5) School of Mathematics and Statistics, Xinyang Normal University, Xinyang; 464000, China

Corresponding author: Song, Xinyu(xysong88@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 52-59

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In view of the problems of the micro drill resistance instrument developed in the early stage, such as the direction of the drill drilling into the tree deviated from the straight line, the width of tree-rings cannot be obtained accurately, the mechanical structure and software algorithm of the micro drill resistance instrument were redesigned, the improvement measures of changing the drill shape and adding the drill support baffle were put forward, and the calculation method of the tree-rings’ width was given. The principle and the expression method of drill resistance of self-made micro drill resistance instrument was described. The number of tree-rings and the width of tree-rings of nine Pinus massoniana discs were tested by self-made micro drill resistance instrument, Resistograph 650-s and Lintab 6 respectively. The results measured by Lintab 6 were taken as the true value. The tree-rings recognition error rate and the measurement accuracy of tree-rings’ width of self-made micro drilling resistance instrument and Resistograph 650-s were calculated respectively. Most boundaries of tree-rings identified by the two micro drill resistance instruments corresponded to the late wood position of the tree-rings. The measurement accuracy of tree-rings width of self-made micro drill resistance instrument was 86.40%. The measurement accuracy of tree-rings width of Resistograph 650-s was 84.93%. And the average accuracy of the tree-rings width measured by the two instruments was as high as 85%, which showed that the micro drill resistance instrumentwas feasible to measure the number of tree-rings and the width of tree-rings. The error rate of tree-rings recognition of self-made micro drill resistance instrument was 12.7 percentage points lower than that of Resistograph 650-s, and the measurement accuracy of tree-rings width of self-made micro drill resistance instrument was 1.47 percentage points higher than that of Resistograph 650-s, which indicated that the mechanical structure design of self-made micro drill resistance instrument was reasonable and the tree-rings recognition method was feasible. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Drills

Controlled terms: Forestry? - ?Infill drilling? - ?Trees (mathematics)

Uncontrolled terms: Drill resistance? - ?Measurement accuracy? - ?Micro drill resistance instrument? - ?Micro-drills? - ?Peak- valley? - ?Peak-valley algorithm? - ?Resistograph? - ?Tree rings? - ?Tree-ring width

Classification code: 511.1 Oil Field Production Operations? - ?603.2 Machine Tool Accessories? - ?821.0 Woodlands and Forestry? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory

Numerical data indexing: Percentage 8.493E+01%, Percentage 8.50E+01%, Percentage 8.64E+01%, Time 6.50E+02s

DOI: 10.6041/j.issn.1000-1298.2022.04.005

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

13. Design and Experiment of Soil Moisture Sensor Based on Dual Frequency Excitation

Accession number: 20221912082565

Title of translation:

Authors: Sheng, Qingyuan (1); Zhang, Xiliang (2); Yang, Yue (1); Li, Pingping (3); Ni, Mengyao (2)

Author affiliation: (1) School of Mechanical and Electrical Engineering and Transportation, Shaoxing Vocational and Technical College, Shaoxing; 312000, China; (2) School of Mechanical Engineering, Jiangsu University, Zhenjiang; 212013, China; (3) College of Forest Resources and Environment, Nanjing Forestry University, Nanjing; 210037, China

Corresponding author: Zhang, Xiliang(190337373@qq.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 228-234

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In agricultural production, capacitive soil moisture sensor (CSMS) has received considerable attention, for it is relatively inexpensive and easy to operate, and can meet the application requirements of wireless sensor network. But CSMS is vulnerable to the soil temperature and salinity in the measurement process. Therefore, a CSMS was designed based on the principle of resistance capacitance series step response. It had two frequency square wave excitation signals, adopted peak detection technology, and took digital signal as output. An inverse function model was proposed to analyze the soil equivalent relative permittivity by fusing high and low frequency response signals. The experimental results in air and distilled water showed that the high and low frequency response stability time of the sensor was within 338~464 ms, and it was suggested that the high and low frequency switching interval of the sensor was greater than 500 ms. The calibration results in non-conductive liquid medium showed that the exponential model can well fit the relationship between the output signal and the relative permittivity of liquid at high and low operating frequencies, and the coefficient of determination R2 was greater than 0.98. In the range of 0~1 000 μS/cm, the maximum error of relative permittivity measurement caused by conductivity was 1.775 and the corresponding maximum quote error was 2.16%. The results of soil measurement showed that the output signals of high frequency and low frequency sensors were affected by soil conductivity respectively, and the change of output voltage signal can be greater than 100 mV, and the corresponding volumetric water content error was greater than 10%. After the proposed data fusion processing of the high-frequency and low-frequency output signals, combined with the Topp model, the influence error of conductivity on the sensor was controlled within 3.2%. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Soil moisture

Controlled terms: Agriculture? - ?Capacitance? - ?Capacitive sensors? - ?Data fusion? - ?Data handling? - ?Errors? - ?Frequency response? - ?Moisture control? - ?Moisture meters? - ?Permittivity ? - ?Soil surveys? - ?Wireless sensor networks

Uncontrolled terms: Dual-frequency excitation? - ?High frequency HF? - ?High frequency response? - ?Low-frequency response? - ?Lower frequencies? - ?Output signal? - ?Peak detection? - ?Relative permittivity? - ?Sensor? - ?Soil moisture sensors

Classification code: 483.1 Soils and Soil Mechanics? - ?701.1 Electricity: Basic Concepts and Phenomena? - ?716.3 Radio Systems and Equipment? - ?722.3 Data Communication, Equipment and Techniques? - ?723.2 Data Processing and Image Processing? - ?731.3 Specific Variables Control? - ?732 Control Devices? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?944.1 Moisture Measuring Instruments? - ?944.2 Moisture Measurements

Numerical data indexing: Electrical conductivity 0.00E00S/m, Percentage 1.00E+01%, Percentage 2.16E+00%, Percentage 3.20E+00%, Time 3.38E-01s to 4.64E-01s, Time 5.00E-01s, Voltage 1.00E-01V

DOI: 10.6041/j.issn.1000-1298.2022.04.024

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

14. Optimization Design of Vane Diffuser and Volute in Vertical Centrifugal Pump Based on Back Propagation Neural Network

Accession number: 20221912081123

Title of translation: BP

Authors: Zhang, Desheng (1); Yang, Gang (1); Zhao, Xutao (1); Yang, Xueqi (1); Gao, Xiongfa (1)

Author affiliation: (1) National Research Center of Pumps and Pumping System, Jiangsu University, Zhenjiang; 212013, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 130-139

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Vertical centrifugal pump is a high specific speed centrifugal pump, which is usually with radial vane diffuser structure. As the core power equipment for large-scale irrigation projects and long-distance water transfer, the matching motor power for vertical centrifugal pump is huge and can reach 40 MW, and the efficiency directly determines its operating energy consumption. In order to reduce the energy consumption of vertical centrifugal pumps, an optimization on multi-components was proposed based on back propagation neural network (BPNN) and multi-island genetic algorithm (MIGA). The matching of the hydraulic components was taken into account and the Plackett-Burman test design was used to screen out the optimal design variables from the 10 design parameters of the vane diffuser and the volute. Then, totally 106 sets of cases were sampled by using optimal Latin hypercube sampling (OLHS), and an automatic numerical simulation optimization platform for the vertical centrifugal pump was built to quickly obtain the optimization objective values corresponding to each set of case. The BPNN was used to construct the high-precision nonlinear relationship between the optimization variables and the optimization objective. Finally, the optimal parameter combination of vane diffuser and volute was obtained through MIGA. The results showed that the performance parameters of vertical centrifugal pump could be more accurately predicted by using SST k-ω turbulence model. BPNN was an effective method to construct high-precision nonlinear relationship between pump design parameters and performance parameters. The efficiency of the optimized model under design condition reached 90.21%, which was 3.61 percentage points higher than that of the original model. The optimized vane diffuser and volute had a more obvious influence on the performance of vertical centrifugal pumps under design condition and part-load conditions. The matching between the vane diffuser and other hydraulic components was better, and the internal flow pattern of the vane diffuser was significantly improved after optimization. The optimization method proposed could provide a certain reference for the optimization design of centrifugal pumps. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Flow patterns

Controlled terms: Centrifugal pumps? - ?Centrifugation? - ?Energy efficiency? - ?Energy utilization? - ?Genetic algorithms? - ?Neural networks? - ?Simulation platform? - ?Torsional stress? - ?Turbulence models

Uncontrolled terms: Automatic optimization? - ?Back-propagation neural networks? - ?Design parameters? - ?Hydraulic components? - ?Matching of hydraulic component? - ?Matchings? - ?Multi island genetic algorithms? - ?Optimisations? - ?Optimization design? - ?Vertical centrifugal pump

Classification code: 525.2 Energy Conservation? - ?525.3 Energy Utilization? - ?618.2 Pumps? - ?631.1 Fluid Flow, General? - ?723.5 Computer Applications? - ?802.3 Chemical Operations

Numerical data indexing: Percentage 9.021E+01%, Power 4.00E+07W

DOI: 10.6041/j.issn.1000-1298.2022.04.013

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

15. Design and Experiment of Four-bar Translational Seed Metering Device for Soybean Plot Breeding

Accession number: 20221912083435

Title of translation:

Authors: Dun, Guoqiang (1); Mao, Ning (1); Liu, Wenhui (1); Wu, Xingpeng (1); Zhou, Cheng (2); Ji, Wenyi (3)

Author affiliation: (1) College of Mechatronic Engineering, Northeast Forestry University, Harbin; 150040, China; (2) School of Information Engineering, Huzhou University, Huzhou; 313000, China; (3) College of Engineering, Northeast Agricultural University, Harbin; 150030, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 70-78

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the cumbersome operation of soybean plot breeding and replacement operations, a four-bar translational soybean plot breeding and metering device was designed. The parallel link mechanism and the rotatable seeding disc were used to complete the cleaning and changing operations. The key components of the whole machine were designed according to the requirements of soybean plot breeding operations. The relationship between the lower limit angle of soybean filling and the rotation speed of the seeding disc was determined through theory, and the numerical values of the structure parameters such as the diameter of the seeding disc, the size of the hole, the number of the hole, and the angle of the brush of the seed metering device were also determined. The discrete element software was used for simulation to simulate the seed metering process of the seed metering device. Firstly, the relationship between the rotation speed of the seed metering disk and the lower limit angle was analyzed and verified, and then the influence of the thickness of the seed box on the number of residual seeds was analyzed based on this experiment. The test results showed that the lower limit angle was gradually decreased with the increase of the rotation speed of the seeding disc, and the number of residual seeds was firstly decreased and then increased with the increase of the seed box thickness. The lower limit angle of 119° and the seed box thickness of 11 mm were determined as the optimization of the seed metering device structural parameters. The field test under the optimal parameters showed that the seed metering device was smoothly cleaned and replaced under the theoretical seed spacing, and there was no seed residue in the seed box after the operation. At the same time, the average qualified index of the seed spacing was 87.61% at the operating speed of 3.6 km/h. The rebroadcast index was 6.63% and the missed broadcast index was 5.75%, both of which reached the standard of excellent products. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 22

Main heading: Computer software

Controlled terms: Shafts (machine components)

Uncontrolled terms: Clear and replace seed? - ?Discrete elements? - ?Four bar? - ?Four-bar translation? - ?Limit angle? - ?Lower limits? - ?Plot breeding? - ?Rotation speed? - ?Seed-metering device? - ?Soybean

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

Numerical data indexing: Percentage 5.75E+00%, Percentage 6.63E+00%, Percentage 8.761E+01%, Size 1.10E-02m, Size 3.60E+03m

DOI: 10.6041/j.issn.1000-1298.2022.04.007

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

16. Simulation and Evaluation of Cycle Irrigation with Brackish and Fresh Water for Winter Wheat Based on AquaCrop Model

Accession number: 20221912084080

Title of translation: AquaCrop

Authors: Zhu, Chengli (1); Xu, Yulin (1); Huang, Mingyi (1); Zheng, Junyu (2); Zhang, Fan (1); Cao, Leiqi (1)

Author affiliation: (1) College of Agricultural Science and Engineering, Hohai University, Nanjing; 210098, China; (2) Jiangsu Water Conservancy Survey and Design Institute Co., Ltd., Yangzhou; 225127, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 330-342

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to explore the suitable irrigation method of brackish water for winter wheat, field experiments were carried out with different cycle irrigation methods and four single irrigation quota (40 mm (I1), 60 mm (I2), 80 mm (I3) and 100 mm (I4)) at jointing, heading and filling stages. There were four cycle irrigation treatments, that was, fresh-fresh-fresh, brackish-fresh-fresh, fresh-brackish-fresh and fresh-fresh-brackish, the salt content of brackish water was 10 dS/m. The AquaCrop model was used to calibrate and verify soil water and salt and winter wheat growth and production under salt water cycle irrigation. The salty cycle irrigation scheme was optimized through irrigation scenario simulation. The results showed that the AquaCrop model could simulate the soil water and salt status, the biomass and grain yield of winter wheat under salt water rotation irrigation. The RMSE of soil water, soil salinity, canopy cover, accumulative evapotranspiration, biomass and grain yield were 1.06%~2.09%, 0.03~0.27 dS/m, 4.2%~11.0%, 14.95~52.17 mm, 0.57~0.86 t/hm2 and 0.28 t/hm2 during calibration, respectively. The RMSE of final biomass and grain yield were 0.51 t/hm2 and 0.33 t/hm2 when verifying. Respectively, the coefficient of determination (R2) of each index was greater than 0.70, and the consistency index (d) was greater than 0.75. The calibrated model was used to simulate the grain yield under 64 salt water rotation irrigation scenarios, and the salt water rotation irrigation scheme was optimized: when the salt water content was 2~14 dS/m, the range of single irrigation amount needed for 95% and 90% of the maximum yield by one irrigation of salt water at heading stage or filling stage was 79.3~93.1 mm and 66.1~79.9 mm, 79.6~90.8 mm and 67.0~78.1 mm, respectively, when salt water was irrigated at both heading stage and filling stage, the single irrigation amount was 80.4~102.6 mm and 67.3~89.5 mm, respectively. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 36

Main heading: Crops

Controlled terms: Biomass? - ?Filling? - ?Grain (agricultural product)? - ?Irrigation? - ?Rotation? - ?Soil moisture? - ?Water supply

Uncontrolled terms: Aquacrop model? - ?Brackish water? - ?Cycle irrigation with brackish and fresh water? - ?Filling stage? - ?Fresh Water? - ?Grain yield? - ?Soil water? - ?System optimizations? - ?Water and salts? - ?Winter wheat

Classification code: 446.1 Water Supply Systems? - ?483.1 Soils and Soil Mechanics? - ?691.2 Materials Handling Methods? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?931.1 Mechanics

Numerical data indexing: Percentage 1.06E+00%, Percentage 1.10E+01%, Percentage 2.09E+00%, Percentage 4.20E+00%, Percentage 9.00E+01%, Percentage 9.50E+01%, Size 1.00E-01m, Size 1.495E-02m to 5.217E-02m, Size 4.00E-02m, Size 6.00E-02m, Size 6.61E-02m to 7.99E-02m, Size 6.70E-02m to 7.81E-02m, Size 6.73E-02m to 8.95E-02m, Size 7.93E-02m to 9.31E-02m, Size 7.96E-02m to 9.08E-02m, Size 8.00E-02m, Size 8.04E-02m to 1.026E-01m

DOI: 10.6041/j.issn.1000-1298.2022.04.035

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

17. Status and Prospect of Intelligent Measurement and Control Technology for Agricultural Equipment

Accession number: 20221912082931

Title of translation:

Authors: Zhai, Changyuan (1, 2); Yang, Shuo (1, 2); Wang, Xiu (1, 2); Zhang, Chunfeng (1, 2); Song, Jian (1, 2)

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

Corresponding authors: Wang, Xiu(wangx@nercita.org.cn); Wang, Xiu(wangx@nercita.org.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 1-20

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Agricultural equipment is developing towards intellectualization. Intelligent measurement and control technology is a core technology of intelligent agricultural equipment. The intelligent measurement and control technology of agricultural equipment uses agricultural machinery equipment as the carrier, including technologies such as intelligent perception of agricultural machinery operation-related information, precise monitoring, and operation decision-making and management. At present, the Chinese intelligent measurement and control for agricultural equipment has a problem of low degree of localization in high-end equipment and core technology. The research status in China and abroad about the core technologies of intelligent measurement and control technology of agricultural equipment was summarized, including intelligent sensing technology for agricultural machinery operations, precise monitoring technology for agricultural equipment, and intelligent decision-making and management technology for agricultural machinery operations. Intelligent sensing technology has produced many achievements, mainly in crop growth information, soil and agricultural machinery operation status. The research progress of precision monitoring technology for agricultural equipment in the fields of ploughing depth, flat land, soil disinfection, seeding, plant protection and harvesting was reviewed. Intelligent decision-making and management technology of agricultural equipment operation has made technological breakthroughs in quality supervision and dispatching decision-making of agricultural machinery. Intelligent monitoring and control technology of agricultural equipment has been widely used in land tillage machine, soil sterilizer, seeder, fertilizer applicator, plant protection machine, harvester and agricultural equipment operation management platform, and the problems to be solved in each application link were analyzed. Finally, the future development directions of the intelligent measurement and control technology for agricultural equipment were put forward: research on system technology of intelligent measurement and control for agricultural machinery; research on key monitoring and control technology for autonomous operation of agricultural machinery on unmanned farm; research and development of core components and sensors of agricultural machinery in complex field environment; and research on operation decision model supported by big data of agricultural machinery. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 214

Main heading: Big data

Controlled terms: Agricultural machinery? - ?Decision making? - ?Seed? - ?Soils

Uncontrolled terms: Agricultural equipment? - ?Big data of agricultural machinery? - ?Core technology? - ?Decision management? - ?Intelligent decision-making? - ?Intelligent measurement? - ?Intelligent measurement and control? - ?Measurement and control? - ?Measurement and control technology? - ?Monitoring technologies

Classification code: 483.1 Soils and Soil Mechanics? - ?723.2 Data Processing and Image Processing? - ?821.1 Agricultural Machinery and Equipment? - ?821.4 Agricultural Products? - ?912.2 Management

DOI: 10.6041/j.issn.1000-1298.2022.04.001

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

18. Simultaneous Localization and Multi-mapping Algorithm in Dynamic Environment Based on Monocular Vision

Accession number: 20221912084158

Title of translation:

Authors: Qi, Yongsheng (1, 2); Chen, Peiliang (1); Liu, Liqiang (1); Dong, Chaoyi (1, 2)

Author affiliation: (1) Institute of Electric Power, Inner Mongolia University of Technology, Huhhot; 010051, China; (2) Inner Mongolia Key Laboratory of Electrical and Mechanical Control, Huhhot; 010051, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 280-292

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In view of the traditional V-SLAM algorithm, the map is created under the assumption that the rigidity of the scene remains unchanged, leading to the inability to achieve dynamic environment mapping, and traditional algorithms cannot overcome the problem of scenes being lost due to unobvious environmental features or robots being “kidnapped and hijacked”. An algorithm for simultaneous localization and multi-mapping in a dynamic environment was proposed. Firstly, the algorithm introduced a multi-mapping idea, when tracking failed, a new local map would be adaptively generated, and the map would be merged with the previous map during the loop, to solve the problem that the algorithm cannot be built after the algorithm was lost. Secondly, deep learning and multi-view geometry technology were combined to realize real-time detection of dynamic objects in the environment, and multi-frame fusion technology was used to repair the background of the parts occluded by dynamic objects, effectively solving the problem of tracking and mapping in a dynamic environment. Finally, the algorithm was applied to actual scenes for testing. The results showed that compared with the classic V-SLAM (ORB-SLAM2, ORBSLAMM and DynaSLAM) algorithm, when tracking loss occurred, the proposed algorithm can quickly rebuild the map in a short time. And to realize the continuous tracking and the new map integration, ORB-SLAM2 and DynaSLAM would enter the relocation mode after being lost, and cannot continue to build. Although ORBSLAMM can continue to build maps after being lost, the built maps cannot achieve multi-mapping integration and cannot build an overall map; further through dynamic environment test experiments, it was found that only the algorithm can achieve all dynamic goals (a priori and moving goals). For real-time detection and background restoration, DynaSLAM can only achieve a priori target detection, while the other two algorithms cannot achieve target detection and mapping in a dynamic environment. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 20

Main heading: Mapping

Controlled terms: Deep learning? - ?Engineering education? - ?Object detection? - ?Restoration? - ?Robotics? - ?Signal detection

Uncontrolled terms: Deep learning? - ?Dynamic detection? - ?Dynamic environments? - ?Dynamic objects? - ?Localisation? - ?Map fusions? - ?Mapping algorithms? - ?Real-time detection? - ?Simultaneous localization and mapping? - ?Targets detection

Classification code: 405.3 Surveying? - ?461.4 Ergonomics and Human Factors Engineering? - ?716.1 Information Theory and Signal Processing? - ?723.2 Data Processing and Image Processing? - ?731.5 Robotics? - ?901.2 Education

DOI: 10.6041/j.issn.1000-1298.2022.04.030

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

19. Remote Sensing Recognition Method of Grape Planting Regions Based on U-Net

Accession number: 20221912083888

Title of translation: U-Net

Authors: Zhang, Hongming (1, 2); Zhang, Guoliang (1); Zhu, Shanna (1); Chen, Huan (1); Liang, Hui (1); Sun, Zhitong (1)

Author affiliation: (1) College of Information Engineering, Northwest A&F University, Yangling; 712100, China; (2) Ningxia Smart Agricultural Industry Technology Collaborative Innovation Center, Yinchuan; 750004, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 173-182

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The accurate acquisition of the spatial distribution of grape planting regions from remote sensing imagery is of great significance for optimizing the layout of grape planting regions and promoting the structural adjustment of grape industry. Due to the problems of the large differences in the size, unfixed spectral characteristics and complex background environment of the objects, it brings many challenges to accurate crop remote sensing recognition. In order to improve the accuracy of crop remote sensing recognition, a pixel-level accurate recognition method was proposed for grape planting regions based on the GF-2 satellite remote sensing imagery and the U-Net model was taken as the basic skeleton. The main improvements to U-Net were recalibrating the feature maps separately along channel and space adaptively, to boost meaningful features and improve the accuracy of edge segmentation, while suppressing weak ones, and reducing the number of downsampling and using hybrid dilated convolution instead of conventional convolution operation, to cut down the loss of image resolution and improve the recognition of objects of different shapes and sizes. The experiments showed that the pixel accuracy, mean intersection over union (MIoU), and frequency weighted intersection over union (FWIoU) of the model on the test set were 96.56%, 93.11% and 93.35%, respectively, which were 5.17 percentage points, 9.57 percentage points and 9.17 percentage points higher than those of the FCN-8s model, and 2.39 percentage points, 4.59 percentage points and 4.39 percentage points better than those of the original U-Net model. In addition, the impacts of the attention modules and hybrid dilated convolution on this model were analyzed through ablation experiments. The proposed model was simple with few parameters, capable of identifying different sizes of grape planting regions with fine edge segmentation effect, and it can provide an effective way to improve the accuracy of crop remote sensing recognition. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 31

Main heading: Convolution

Controlled terms: Crops? - ?Image enhancement? - ?Image resolution? - ?Image segmentation? - ?Pixels? - ?Remote sensing? - ?Satellite imagery? - ?Space optics

Uncontrolled terms: Attention mechanisms? - ?GF-2? - ?Grape planting region? - ?High resolution remote sensing imagery? - ?Hybrid dilated convolution? - ?Percentage points? - ?Plantings? - ?Recognition methods? - ?Remote-sensing? - ?U-net

Classification code: 655.2 Satellites? - ?656.1 Space Flight? - ?716.1 Information Theory and Signal Processing? - ?741.1 Light/Optics? - ?821.4 Agricultural Products

Numerical data indexing: Percentage 9.311E+01%, Percentage 9.335E+01%, Percentage 9.656E+01%, Time -8.00E+00s

DOI: 10.6041/j.issn.1000-1298.2022.04.018

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

20. Design and Test of Combined Swing Radix isatidi Root-soil Separation Device

Accession number: 20221912083033

Title of translation:

Authors: Tao, Guixiang (1); Zhang, Ziheng (1); Yi, Shujuan (1); Xia, Chunlong (1); Ma, Yongcai (1)

Author affiliation: (1) College of Engineering, Heilongjiang Bayi Agricultural University, Daqing; 163319, China

Corresponding author: Yi, Shujuan(yishujuan_2005@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 109-119

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to slove the problem of low root-soil separation rate and high damage rate of rhizome effect of Radix isatidi harvester, a type of combined swing root-soil separation device for Radix isatidi was designed. The overall structure and working principle of the machine were described. Combining the planting pattern of Radix isatidi with the operational requirements of harvesters, based on the analysis of the dynamic of the root-soil complex on the sieve surface during the sieving process of the device, the main factors and their ranges that affected the effect of the root-soil separation were determined. The root-soil separation rate and damage rate of rhizome were used as test indicators. The sieve surface inclination angle, crank rotational speed, and crank radius were the test factors, and quadratic orthogonal regression test was carried out. The regression mathematical model between the indexes and the factors model between the test factors and test indexes was established by response surface analysis method, and the influence of test factors on test indexes was analyzed. The structure and working parameters which affected the separation performance of the combined swing-type root-soil separation were optimized. The results showed that when the sieve surface inclination angle was 14.94°, the crank rotational speed was 440 r/min, and the crank radius was 19.95 mm, the root-soil separation rate was 97.19%, and the damage rate of rhizome was 2.66%. Field tests were conducted to verify the optimized data under these conditions, and the results showed that the root-soil separation rate was 96.09% and the damage rate of rhizome was 2.75%, which satisfied the operating requirement of Radix isatidi root-soil separation.Finally, field tests were carried out under the same conditions, and the results showed that the sieving effect of the sieve strip sieve plate combined sieve surface was better than that of the full sieve strip sieve surface and the full sieve plate sieve surface. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 24

Main heading: Soils

Controlled terms: Factor analysis? - ?Harvesters? - ?Plates (structural components)? - ?Separation? - ?Sieves? - ?Surface analysis

Uncontrolled terms: Combined swing? - ?Crank radius? - ?Damage rate? - ?Radix isatidi harvester? - ?Radix isatidis? - ?Root-soil separation device? - ?Rotational speed? - ?Separation devices? - ?Separation rate? - ?Surface inclination angle

Classification code: 408.2 Structural Members and Shapes? - ?483.1 Soils and Soil Mechanics? - ?802.3 Chemical Operations? - ?821.1 Agricultural Machinery and Equipment? - ?922.2 Mathematical Statistics? - ?951 Materials Science

Numerical data indexing: Angular velocity 7.348E+00rad/s, Percentage 2.66E+00%, Percentage 2.75E+00%, Percentage 9.609E+01%, Percentage 9.719E+01%, Size 1.995E-02m

DOI: 10.6041/j.issn.1000-1298.2022.04.011

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

21. Fast Recognition Method of Multi-feature Trunk Based on RealSense Depth Camera

Accession number: 20221912082910

Title of translation: RealSense

Authors: Shen, Yue (1); Zhuang, Zhenzhen (1); Liu, Hui (1); Jiang, Jianbin (1); Ou, Mingxiong (2)

Author affiliation: (1) School of Electrical and Information Engineering, Jiangsu University, Zhenjiang; 212013, China; (2) School of Agricultural Engineering, Jiangsu University, Zhenjiang; 212013, China

Corresponding author: Liu, Hui(amity@ujs.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 304-312

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: For agricultural robots in orchard positioning and navigation, the environmental background is complex and the illumination intensity changes greatly. In order to solve the problems, a rapid identification method of tree trunks was proposed by using the features of color, depth, width and parallel edges based on RGB-D camera. Firstly, the color image and depth image of the orchard were obtained by using RealSense depth camera. Then, the color image was converted into HSV color space, and superpixel segmentation was performed on the S component in HSV, and then adjacent superpixel blocks with similar color characteristics and depth characteristics were combined. Secondly, trunk width feature detection was carried out on the depth image, and the object whose width confidence rate was greater than the threshold value was regarded as the object to be processed. Finally, the parallel edge detection of the processed object was conducted, the region of interest (ROI) window was selected in the edge area of the object to be processed for edge detection, and the possible straight edge of the trunk edge was searched, when the confidence rate of the object edge was greater than the set threshold, the processed object was recognized as trunk, otherwise it was non-trunk. Through the extraction of multiple features of tree trunks, the recognition rate of tree trunks under different environments was improved effectively. In order to evaluate the performance of tree trunk recognition algorithm under strong light, normal light and weak light, a mobile robot platform was used to test in orchard environment. The experimental results showed that the recognition rate of this algorithm was 92.38%, 91.35% and 89.86% and the average time of each image was 0.54 s, 0.66 s and 0.76 s under strong light, normal light and weak light, respectively, which can stably realize the trunk recognition in orchard environment. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 20

Main heading: Edge detection

Controlled terms: Cameras? - ?Clustering algorithms? - ?Color? - ?Forestry? - ?Image segmentation? - ?Iterative methods? - ?Orchards? - ?Robots? - ?Superpixels? - ?Trees (mathematics)

Uncontrolled terms: Cluster algorithms? - ?Color depth? - ?Colour image? - ?Depth camera? - ?Depth image? - ?Illumination intensity? - ?Multifeatures? - ?Simple linear iterative cluster algorithm? - ?Simplest linear? - ?Trunk recognition

Classification code: 731.5 Robotics? - ?741.1 Light/Optics? - ?742.2 Photographic Equipment? - ?821.0 Woodlands and Forestry? - ?821.3 Agricultural Methods? - ?903.1 Information Sources and Analysis? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory? - ?921.6 Numerical Methods

Numerical data indexing: Percentage 8.986E+01%, Percentage 9.135E+01%, Percentage 9.238E+01%, Time 5.40E-01s, Time 6.60E-01s, Time 7.60E-01s

DOI: 10.6041/j.issn.1000-1298.2022.04.032

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

22. Simulation on Forest Echo Waveforms of Domestic Spaceborne LiDAR

Accession number: 20221912083885

Title of translation:

Authors: Cai, Longtao (1); Yue, Chunyu (2); Huang, Jin (3); He, Tao (3); Guo, Aiyan (3); Xing, Yanqiu (1)

Author affiliation: (1) College of Engineering and Technology, Northeast Forestry University, Harbin; 150040, China; (2) Beijing Institute of Space Mechanics and Electricity, Beijing; 100094, China; (3) Remote Sensing Satellite General Department, China Academy of Space Technology, Beijing; 100094, China

Corresponding author: Xing, Yanqiu(yanqiuxing@nefu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 208-217

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In the process of exploring the application potential of domestic satellite-borne LiDAR satellite waveform data in the estimation of forest structure parameters, simulating the received waveform of the satellite is a very important part of it. In the process of waveform simulation, to solve the problem of irregular terrain undulations and complex forest layer structure, the finite element principle was implemented to realize the simulation of random terrain and forest stand three-dimensional information. To solve the problem of energy attenuation during laser pulse transmission, the laser radar radiation transmission model was used. To verify the effectiveness of the built echo simulation system, the ICESat-GLAS measured waveform data, which was similar to the received waveform of the domestic spaceborne LiDAR, was used to verify the GLAS simulation waveform data. The research results showed that the correlation coefficient between the simulated waveform and the measured waveform of the transmitted wave was 0.96. When the errain slope was 0°~10°, 10°~20°, 20°~30°, and above 30°, the mean values of the correlation coefficients between the simulated received waveform and the measured waveform were 0.90, 0.88, 0.85, and 0.81, respectively. When the canopy closure was 0~0.2, 0.2~0.4, 0.4~0.6, 0.6~0.8, and 0.8~1.0, the mean values of the correlation coefficients between the simulated received waveform and the measured waveform were 0.81, 0.80, 0.84, 0.88, and 0.90, respectively. The mean values of correlation coefficients between the simulated received waveform and measured waveform of coniferous forest, broad-leaved forest and mixed forest were 0.85, 0.86 and 0.89, respectively. The research results showed that the built echo simulation system can be used for domestic spaceborne LiDAR echo simulation. The simulation waveforms of domestic spaceborne LiDAR obtained can provide data support for the estimation of forest structure parameters. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 42

Main heading: Landforms

Controlled terms: Finite element method? - ?Forestry? - ?Optical radar? - ?Parameter estimation? - ?Satellites? - ?Space-based radar? - ?Transmissions? - ?Waveform analysis

Uncontrolled terms: Correlation coefficient? - ?Domestic spaceborne LiDAR? - ?Echo simulation? - ?Finite element principle? - ?LiDAR radiation transmission model? - ?Radiation transmission? - ?Random terrain? - ?Space-borne? - ?Transmission model? - ?Waveforms

Classification code: 481.1 Geology? - ?602.2 Mechanical Transmissions? - ?655.2 Satellites? - ?716.2 Radar Systems and Equipment? - ?741.3 Optical Devices and Systems? - ?821.0 Woodlands and Forestry? - ?921.6 Numerical Methods

DOI: 10.6041/j.issn.1000-1298.2022.04.022

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

23. Grain-size Effect of Potential Ecological Spatial Network in Desert Oasis Ecotone

Accession number: 20221912081601

Title of translation:

Authors: Zhang, Qibin (1); Liu, Dongyue (1); Li, Qian (2); Yu, Qiang (3); Song, Hongli (1); Li, Shiran (4)

Author affiliation: (1) School of Earth Science and Engineering, Hebei University of Engineering, Handan; 056038, China; (2) School of Landscape and Ecological Engineering, Hebei University of Engineering, Handan; 056038, China; (3) Beijing Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing; 100083, China; (4) Planning and Design Institute of Forest Products Industry, State Forestry and Grassland Administration, Beijing; 100714, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 199-207

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Scale problem is one of the core problems of landscape ecology, ecological spatial network is spatially represented as the mosaic of ecological source patch, ecological corridor and matrix landscape. Therefore, it will also be affected by the scale effect. Taking Dengkou County in the northeast edge of Ulanbuhe desert as the research area to study the grain-size effect of county ecological spatial network. The results showed that the change of grain-size had an obvious impact on the spatial and topological structure, area of ecological sources and spatial distribution of ecological network. But the grain-size effect of ecological resistance surface was not obvious. With the increase of grain-size, the area of ecological source patches fluctuated obviously and its shape became more and more broken. The length of ecological spatial network was increased at first and then decreased, its spatial distribution was changed from continuously dense to gradually sparse. The topological structure indexes of the ecological network was changed obviously. With the continuous increase of grain-size, the degree distribution of the network became more centralized, homogeneous, hierarchical and modular, the heterogeneity of the network continued to improve, the connectivity continued to decrease, and the overall changes trend were in a more unstable direction. This research showed that grain-size effect must be considered in the study of ecological spatial network. However, the causes of this effect and the method of selecting the optimal scale still needed further study. The research result can provide reference for the selection of research scale in relevant researches and the designation of county ecological protection measures. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 29

Main heading: Ecology

Controlled terms: Grain size and shape? - ?Size determination? - ?Size distribution? - ?Spatial distribution? - ?Topology

Uncontrolled terms: Core problems? - ?Dengkou counties? - ?Ecological networks? - ?Ecological spatial network? - ?Grain size effect? - ?Grainsize? - ?Landscape ecology? - ?matrix? - ?Spatial network? - ?Topological structure

Classification code: 405.3 Surveying? - ?454.3 Ecology and Ecosystems? - ?902.1 Engineering Graphics? - ?921 Mathematics? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory? - ?922.2 Mathematical Statistics

DOI: 10.6041/j.issn.1000-1298.2022.04.021

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

24. Rapid Parallel Optimization Method of Complex Hydraulic Product Based on Multi-core CPU

Accession number: 20221912081907

Title of translation: CPU

Authors: Ning, Zhiqiang (1, 2); Wei, Lixin (1); Zhang, Rui (1); Quan, Long (3); Hua, Jianhui (1); Gao, Youshan (1)

Author affiliation: (1) College of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan; 030024, China; (2) Department of Mechanical and Electronic Engineering, Shanxi Institute of Technology, Yangquan; 045000, China; (3) College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan; 030002, China

Corresponding author: Gao, Youshan(gaoyoushan@tyust.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 441-449

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to shorten development cycle of hydraulic product and improve development efficiency of serialized products, a rapid parallel optimization method based on multi-core CPU for complex hydraulic product was proposed. The rapid parallel optimization method focuses to the parameter optimization and performance constraints of complex hydraulic product utilizing particle swarm optimization algorithm, treating CVODE simulated program as a particle. The method adopted two-stage strategies for speed, which included CVODE strategy and multi-core CPU strategy. Selecting triangle groove design of variable-displacement asymmetric axial piston pump as the research object, the realization process of parallel optimization based on multi-core CPU was designed. Firstly, the accuracy of CVODE simulated program was verified through prototype experiments. The experiments results showed that the experiment results of physical prototype agreed well with that by CVODE simulated program. Secondly, the main parameter of triangle groove was optimized to reduce flow pulsation using PSO. The flow pulsation before and after the optimization was analyzed. Analysis result showed that the outcomes of optimization lowered flow pulsation by 36% without pressure increase of plunger cavity. The proposed method solved the optimization problem that the simulation of hydraulic system was dependent on professional simulation software, and the simulated program can run independently in windows. Compared with multi-threading, this multi-process parallel method had the advantages of easy programing. On the eight core CPU processor, the efficiency of the multi-core parallel method was 10 times greater than that of SimulationX and it was about five times greater than that of dual-core processor. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 20

Main heading: Hydraulic equipment

Controlled terms: Efficiency? - ?Parallel processing systems? - ?Particle swarm optimization (PSO)

Uncontrolled terms: Complex hydraulic product? - ?Hydranlic simulation software? - ?Multi-core CPU? - ?Multi-cores? - ?Multi-process parallel optimization? - ?Multi-Processes? - ?Optimization method? - ?Parallel optimization? - ?Prototype experiment? - ?Simulation software

Classification code: 632.2 Hydraulic Equipment and Machinery? - ?722.4 Digital Computers and Systems? - ?723 Computer Software, Data Handling and Applications? - ?913.1 Production Engineering? - ?921.5 Optimization Techniques

Numerical data indexing: Percentage 3.60E+01%

DOI: 10.6041/j.issn.1000-1298.2022.04.046

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

25. Effect of Ultrasonic Combined with Enzyme Treatment on Glutamine Transaminase Cross-linked Soybean Protein Isolate Gels

Accession number: 20221912084034

Title of translation: TG

Authors: Li, Yang (1); Ma, Zhaolei (1); Zheng, Li (1); Huang, Yuyang (2); Kim, Kibong (3); Teng, Fei (1)

Author affiliation: (1) College of Food Science, Northeast Agricultural University, Harbin; 150030, China; (2) Department of Food Engineering, Harbin University of Commerce, Harbin; 150030, China; (3) Catering Faculty, Pyongyang Jang Chol Gu Commerce University, Pyongyang; 950003, Korea, People’s Democratic Rep

Corresponding author: Teng, Fei(tengfei@neau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 394-402

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming to study the effect of ultrasonic combined with enzyme treatment on the structure of soybean protein isolate (SPI) and the properties of SPI gel crossl-inked with glutamine transaminase (TG). The effects of ultrasonic combined with enzyme treatment on the structure of SPI were analyzed by fluorescence spectroscopy and Fourier transform infrared spectroscopy. Meanwhile, the relationship between SPI stuctural changes and functional characteristics were studied by particle size, free sulfhydryl group, surface hydrophobicity analysis, texture, water holding analysis and scanning electron microscopy. The results showed that after ultrasonic treatment, papain treatment and ultrasonic combined with enzyme treatment, the proportions of the secondary structure fractions α-helix and β-turn were decreased significantly (P ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 41

Main heading: Scanning electron microscopy

Controlled terms: Amino acids? - ?Fluorescence spectroscopy? - ?Fourier transform infrared spectroscopy? - ?Hydrophobicity? - ?Papain? - ?Particle size? - ?Particle size analysis? - ?Textures? - ?Ultrasonic equipment

Uncontrolled terms: Enzyme treatment? - ?Free sulfhydryl groups? - ?Gel properties? - ?Gel strengths? - ?Protein isolates? - ?Soy bean protein isolate? - ?Soybean proteins? - ?Surface hydrophobicity? - ?Ultrasonic treatments? - ?Water-holding capacity

Classification code: 741.3 Optical Devices and Systems? - ?753.2 Ultrasonic Devices? - ?801 Chemistry? - ?804.1 Organic Compounds? - ?931.2 Physical Properties of Gases, Liquids and Solids? - ?941.3 Optical Instruments? - ?941.4 Optical Variables Measurements? - ?951 Materials Science

DOI: 10.6041/j.issn.1000-1298.2022.04.041

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

26. Design and Experiment of Multi-channel Integrated Shelling Mechanism for Fresh Lotus Seed

Accession number: 20221912084022

Title of translation:

Authors: Zeng, Rong (1, 2); Hou, Qunxi (1, 2); Chen, Yaxin (1, 2); Wang, Yang (1, 2); Dong, Zhao (1, 2); Zhang, Guozhong (1, 2)

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

Corresponding authors: Zhang, Guozhong(zhanggz@mail.hzau.edu.cn); Zhang, Guozhong(zhanggz@mail.hzau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 79-88 and 119

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problems of difficult processing and high loss rate of fresh lotus seeds peeling, a multi-channel integrated peeling mechanism was designed. The mechanism was composed of multi-channel profiling grooved wheel, outer blade tooth plate, outer and inner cutter head, etc., which would realize single lotus seed discharge, posture adjustment and circular cutting. The profiling groove can protect lotus seeds from damage caused by cutting and conveying extrusion. Through theoretical analysis and parameter calculation of the working process of the shelling mechanism, the main structure and working parameters affecting the shelling performance were determined. The influence of tooth shape structure, blade pitch, tooth spacing and shell wheel speed on lotus seed discharge and posture adjustment was analyzed by EDEM discrete element software. The ADAMS virtual prototype software was employed to simulate the trajectory of lotus seed in the shelling mechanism. After that, the prototype was trial produced according to the theoretical calculation and simulation analysis, and the experimental verification was carried out on the prototype. The no. 36 space lotus seeds with water content greater than 64.2%, which was produced in Honghu City, Hubei Province, were taken as the experimental object. The effects of tooth shape, blade pitch and tooth spacing on shelling performance were investigated by single factor experiment and orthogonal experiment. The experiment results indicated that the shelling rate was 97% when the tooth spacing and blade pitch were 5 mm and 82 mm, respectively, by using the centripetal teeth. The results showed that the proposed shelling mechanism can meet the actual production needs of lotus seed shelling in milk and wax ripening stages, which had a good application prospect in lotus industry. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 34

Main heading: Wheels

Controlled terms: Software prototyping

Uncontrolled terms: Blade pitch? - ?Fresh lotus seed? - ?Lotus seeds? - ?Low damages? - ?Multi channel? - ?Posture adjustment? - ?Profiling grooved wheel? - ?Seed discharge? - ?Shelling mechanism? - ?Shelling rate

Classification code: 601.2 Machine Components? - ?723.1 Computer Programming

Numerical data indexing: Percentage 6.42E+01%, Percentage 9.70E+01%, Size 5.00E-03m, Size 8.20E-02m

DOI: 10.6041/j.issn.1000-1298.2022.04.008

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

27. Sparse Transplanting Mechanism Design with Double Row End Effectors and Work Time Sequence Optimization for Hydroponics Pot Seedlings in Greenhouse

Accession number: 20221912082989

Title of translation:

Authors: Ma, Zenghong (1, 2); Rao, Yicheng (1); Tong, Junhua (1, 2); Li, Kai (3); Xu, Minya (4); Wu, Chuanyu (1, 2)

Author affiliation: (1) Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou; 310018, China; (2) Zhejiang Provincial Key Laboratory of Transplanting Equipment and Technology, Hangzhou; 310018, China; (3) Academy of Agricultural Planning and Engineering, Ministry of Agriculture and Rural Affairs, Beijing; 100125, China; (4) Jiangsu Vocational College of Agriculture and Forestry, Zhenjiang; 212400, China

Corresponding authors: Tong, Junhua(jhtong@zstu.edu.cn); Tong, Junhua(jhtong@zstu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 60-69

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In the process of hydroponic leafy vegetable cultivation, plug seeding needs to be sparsely planted into the cultivation trough. Traditional manual operation has high labor intensity and low efficiency, which limits large-scale production. A double row end effectors with variable spacing sparse transplanting device for pot seedling in greenhouse was designed, which realized double row automatic seedling picking in the tray and variable spacing planting in the cultivation trough. A seedling picking and end effector with secondary clamping function was designed. The rigid-flexible coupling simulation test was analyzed by ADAMS and ANSYS software, and the optimum seedling depth was got as 48 mm. According to the analysis of sparse transplanting operation conditions, three sparse picking seedling strategies for double row transplanter were proposed. And the optimal seedling transplanting motion strategy with the smallest longitudinal displacement of double row(row 1st and row 7th)was selected. and it was compared with the other two motion strategies. The action sequence optimization analysis of spare planting transplanting was carried out, and the time point of overlapping action sequence was optimized. The comparative experiment of 12 kinds of operation about work time sequence optimization transplanting was further carried out. The experimental results showed that the combination was the best when moving and lateral variable spacing expansion, longitudinal variable spacing separation and the descending sequence were parallel. The average efficiency of transplanting was 4 836 plants/h, and the success rate of transplanting was 95.8%. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 26

Main heading: Greenhouses

Controlled terms: Cultivation? - ?Efficiency? - ?End effectors? - ?Seed? - ?Software testing? - ?Vegetables

Uncontrolled terms: Double rows? - ?Hydroponic leafy vegetable? - ?Leafy vegetables? - ?Plantings? - ?Sequence optimization? - ?Time sequence optimization? - ?Time sequences? - ?Transplanted part? - ?Variable spacing? - ?Work time

Classification code: 723.5 Computer Applications? - ?731.5 Robotics? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?821.6 Farm Buildings and Other Structures? - ?913.1 Production Engineering

Numerical data indexing: Percentage 9.58E+01%, Size 4.80E-02m

DOI: 10.6041/j.issn.1000-1298.2022.04.006

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

28. Estimation and Visualization of Chlorophyll Content in Plant Based on YOLO v5

Accession number: 20221912084223

Title of translation: YOLO v5

Authors: Zhang, Huichun (1, 2); Zhang, Meng (1); Bian, Liming (3); Ge, Yufeng (4); Li, Xiaoping (3)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing; 210037, China; (2) Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nanjing Forestry University, Nanjing; 210037, China; (3) College of Forestry, Nanjing Forestry University, Nanjing; 210037, China; (4) Biological Systems Engineering Department, University of Nebraska-Lincoln, Lincoln; 68583, United States

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 313-321

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Chlorophyll content plays an important role in plant photosynthesis, and is indicative of the growth and health of plants. There has been strong interest to measure chlorophyll content quickly and nondestructively, and visualize its spatial distribution in plants. A custom-made imaging platform was used to acquire multi-view RGB images of the seedlings of Salix suchowensis Cheng, a close sister species of poplar. An experiment in growth chamber was conducted involving 32 seedlings. These seedlings was subjected to four levels of nitrogen rates. A series of image processing algorithms was developed, which allowed us to detect the main branch of the plants (using YOLO v5), extract color indices from the main branch to estimate SPAD values (using ridge regression), and obtain the best color factor combination regression model by comparing various model regression methods. The results showed that the best performing regression model to estimate SPAD values employed six color indices derived from the RGB images as predictor variables, with R2 of 0.73 and RMSE of 2.16. Finally, the spatial distribution of chlorophyll content of the whole seedling was developed and visualized. In conclusion, the rapid and non-destructive approach to estimate chlorophyll content of poplar seedlings using high-throughput, multi-view RGB imaging was investigated. The imaging platform, the algorithms for plant image analysis and color indices extraction, as well as the models to estimate SPAD readings, provided technical feasibilities to continually assess growth and health related parameters for tree seedlings, and could guide the early diagnosis of nitrogen stress in plants and suitable application of nitrogen fertilizers. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 26

Main heading: Regression analysis

Controlled terms: Chlorophyll? - ?Color? - ?Cultivation? - ?Diagnosis? - ?Image processing? - ?Nitrogen? - ?Nitrogen fertilizers? - ?Seed? - ?Spatial distribution

Uncontrolled terms: Chlorophyll contents? - ?Color index? - ?Estimation fitting model? - ?Fitting model? - ?Multi-view image? - ?Multi-views? - ?Phenotypic information? - ?Regression modelling? - ?RGB images? - ?Salix suchowensis cheng

Classification code: 405.3 Surveying? - ?461.6 Medicine and Pharmacology? - ?723.2 Data Processing and Image Processing? - ?741.1 Light/Optics? - ?804 Chemical Products Generally? - ?804.1 Organic Compounds? - ?821.2 Agricultural Chemicals? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?902.1 Engineering Graphics? - ?921 Mathematics? - ?922.2 Mathematical Statistics

DOI: 10.6041/j.issn.1000-1298.2022.04.033

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

29. Magnetic Relaxation Switch Sensor for Rapid Detection of Progesterone in Milk Based on Aptamers Functionalized Au@Fe3O4 Nanoparticles

Accession number: 20221912084082

Title of translation:

Authors: Wang, Xin (1); Wang, Qi (1); Sun, Hanying (1, 2); Pei, Kaili (1)

Author affiliation: (1) School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai; 200093, China; (2) Graduate School of Fisheries and Environmental Sciences, Nagasaki University, Nagasaki; 852-8131, Japan

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 412-422

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: With the increase of public attention on food safety, it is important to establish a sensitive and rapid detection method for progesterone (pregn-4-ene-3, 20-dione, P4) in animal food products. A magnetic relaxation switch (MRS) sensor based on aptamer functionalized Au@Fe3O4 nanoparticles (NPs) was developed for the detection of progesterone in milk. The test conditions were optimized to improve the sensitivity and stability of the method, and the feasibility of this method for the detection of progesterone in milk was also analyzed.The ratio of aptamers (Apt) to Au@Fe3O4 NPs, the incubation time of aptamers modification, the concentration of NaCl, the dilute ratio of Apt-Au@Fe3O4 and reaction time were optimized to be 3, 1.5 h, 0.02 mol/L, 400 and 15 min, respectively. Under the optimized conditions, the change of mono-component relaxation time (ΔT2w) showed a linear range from 1 nmol/L to 40 nmol/L and the limitation of detection (LOD) was 4.97 nmol/L. In addition, the proposed method also illustrated an excellent specificity. The method was also applied successfully for the detection of progesterone in milk samples. The MRS displayed linear ranges of detecting progesterone from 20 nmol/L to 100 nmol/L and LOD of 13.60 nmol/L in milk. The average recoveries of progesterone in milk were 99.21%~103.45%, with relative standard deviations of nomore than 9.02%. The results indicated that this sensor could be a potential tool for the rapid detection of progesterone in food. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 47

Main heading: Gold nanoparticles

Controlled terms: Food products? - ?Gold compounds? - ?Magnetite? - ?Nanomagnetics? - ?Sodium chloride

Uncontrolled terms: Aptamers? - ?Ferrosoferric oxide? - ?Food-safety? - ?Functionalized? - ?Linear range? - ?Magnetic relaxation switch sensor? - ?Magnetic relaxation switches? - ?Progesteron? - ?Rapid detection? - ?Sensitive detection

Classification code: 701.2 Magnetism: Basic Concepts and Phenomena? - ?761 Nanotechnology? - ?822.3 Food Products

Numerical data indexing: Amount of substance 1.00E-07mol, Amount of substance 1.00E-09mol, Amount of substance 1.36E-08mol, Amount of substance 2.00E-08mol, Amount of substance 4.00E-08mol, Amount of substance 4.97E-09mol, Molar concentration 2.00E+01mol/m3, Percentage 1.0345E+02%, Percentage 9.02E+00%, Percentage 9.921E+01%, Time 2.40E+04s, Time 5.40E+03s, Time 9.00E+02s

DOI: 10.6041/j.issn.1000-1298.2022.04.043

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

30. Design and Experiment of Adsorption End-effector for Potato Tissue Culture Seedling Transplanting

Accession number: 20221912084038

Title of translation:

Authors: Duan, Hongbing (1, 2); Yao, Feihu (1); Cai, Xingkui (2, 3); Jiang, Hongxin (2, 3); Tan, Benfang (1); Chen, Huan (2, 3)

Author affiliation: (1) College of Engineering, Huazhong Agricultural University, Wuhan; 430070, China; (2) Key Laboratory of Potato Biology and Biotechnology, Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan; 430070, China; (3) College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan; 430070, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 43-51

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the micro potato production process, there is a lot of labor demand and affairs from the group culture seedlings to the production of sheds, and an adsorption end-effector that works with five groups of seedlings can be taken at a time. Under the control of the PLC, the adsorption end-effector completed the change in the historical cassette and the acupoints; the vacuum generated by the vacuum generator, so that the nozzle would seed the seedlings; after the adsorption end-effector was moved to the acupoint and cut off the vacuum. The group seedlings were placed in the pocket bore and completed the transplanting process of the group seedlings. The key parameters of the nozzle were analyzed and determined, and the effect of a good nozzle type was selected by simulation analysis and single factor test. In order to clarify the influence of the acupoint diameter d, the spacing adjustment speed v1, the positive pressure p1, and the seedling holding height h and other factors on the transplanting effect, the transplanted success rate was orthogonal test. The results showed that the seedling holding height h had a significant effect on the success rate of transplanted plants, while the hole diameter d, the spacing adjustment speed v1, the blow seed positive pressure p1 had no significant effect; when the hole diameter d was 15 mm, the spacing adjustment speed v1 was 50 mm/s, blow seedling positive pressure p1 was 1 000 Pa, seedling clamping height h was 45 mm, the transplanted success rate of group culture seedlings was the highest, was 87.98%, and the transplanting effect of the adsorption end-effector was the best, the transplanting efficiency was 2 087 plants/hour, which met the design requirements. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 27

Main heading: Adsorption

Controlled terms: Nozzles? - ?Seed? - ?Tissue culture

Uncontrolled terms: Acupoints? - ?Adsorption end-effector? - ?Hole diameter? - ?Positive pressure? - ?Potato? - ?Potato tissue? - ?Production process? - ?Seedlings transplanting? - ?Tissue culture seedling? - ?Transplanting

Classification code: 802.3 Chemical Operations? - ?821.4 Agricultural Products

Numerical data indexing: Percentage 8.798E+01%, Pressure 0.00E00Pa, Size 1.50E-02m, Size 4.50E-02m, Velocity 5.00E-02m/s

DOI: 10.6041/j.issn.1000-1298.2022.04.004

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

31. Design and Experiment of Straw Proportional Recovery Device for Clearing and Covering Straw of No-tillage Planter

Accession number: 20221912082922

Title of translation:

Authors: Chen, Haitao (1); Zou, Zhen (1); Wang, Xing (1); Shi, Naiyu (1); Han, Guangxin (1); Hou, Shouyin (1)

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

Corresponding author: Hou, Shouyin(houshouyin.cn@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 120-129

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: To solve the problem of recycling surplus straw in a lightened and simplified way and promote its resource utilization, as well as using crop straw to increase crop yield and benefit and protect arable land in main producing areas of wheat-maize-soybean in China, a straw proportion recovery device was designed based on principle of lateral straw clearing and covering of no-tillage precision planter applied in original stubble field. Using the mechanical energy of the lateral casting of straw by no-tillage planter to efficiently clean and recycle the excess straw. The straw lateral throwing movement rule was proven by applying high-speed camera technology, the key structure and operation parameters influencing performance of device and their value range were determined by theoretical analysis. Three factors five levels quadratic regression orthogonal rotary center combination experiment method was applied to carry out parameters combination optimization experiment with operation speed, drum rotating speed and spring-tooth deviation angle as experimental factors, and straw recycling rate and impurity content as the evaluation indexes. The results showed that the primary and secondary order of influencing factors on straw recovery ratio was working speed, spring tooth deviation angle and drum speed, and the primary and secondary order of influencing factors on impurity ratio was spring tooth deviation angle, working speed and drum speed. When operation speed was 5.4~7.2 km/h, drum rotation speed was 95 r/min, and spring-tooth deviation angle was 49°, straw recycling rate was more than 94% and impurity content was less than 5%. The results provided theoretical and technical support for the development of the simultaneous proportional recovery compound machine for no-tillage seeding and straw mulching. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 30

Main heading: High speed cameras

Controlled terms: Crops? - ?Recycling? - ?Speed

Uncontrolled terms: Clear and cover straw? - ?Corn straws? - ?Deviation angles? - ?Impurities contents? - ?No-tillage planter? - ?No-tillage seeding? - ?Operation speed? - ?Proportional recovery unit? - ?Recycling rate? - ?Working speed

Classification code: 452.3 Industrial Wastes? - ?742.2 Photographic Equipment? - ?821.4 Agricultural Products

Numerical data indexing: Angular velocity 1.5865E+00rad/s, Percentage 5.00E+00%, Percentage 9.40E+01%, Size 5.40E+03m to 7.20E+03m

DOI: 10.6041/j.issn.1000-1298.2022.04.012

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

32. Design and Performance Analysis of Tractor Bidirectional Coupling Electric Drive System

Accession number: 20221912081653

Title of translation:

Authors: Liu, Mengnan (1, 2); Li, Shuyuan (1); Xu, Liyou (1); Zhao, Yirong (2)

Author affiliation: (1) School of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang; 471003, China; (2) State Key Laboratory of Power System of Tractor, Luoyang; 471003, China

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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 423-431 and 449

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the operation requirements of electric tractors under various working conditions, a structural scheme of bidirectional coupling device suitable for dual-motor electric tractors was proposed. On the basis of studying the transmission theory of planetary gear mechanism, the proposed scheme was topologically designed, and the optimal transmission scheme was selected by analyzing its transmission characteristics. Power matching and parameter calculation on the selected scheme were performed to obtain specific characteristic parameters. SolidWorks was used for parametric modeling to obtain a three-dimensional model of the bidirectional coupling device. A virtual prototype model of the coupling device was established based on ADAMS, and kinematics simulation analysis was performed on it. The prototype of the bidirectional coupling device was trial-produced and the installation test was carried out. Based on ANSYS Workbench, a finite element model of the bidirectional coupling device was established. Through modal analysis, the first ten natural frequencies and corresponding modal diagrams of the bidirectional coupling device were obtained, and the maximum excitation frequency that can be generated by the dual motors was deduced. The analysis result showed that the designed bidirectional coupling device of electric tractor can realize the bidirectional coupling flow of power, with fast response speed, stable power transmission and small impact. The first-order natural frequency of the bidirectional coupling device was 1 905.5 Hz, which was higher than the excitation frequency band of 1 020~1 380 Hz of the motor, and it can avoid resonance and meet the operating requirements of the electric tractor under multiple working conditions. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 23

Main heading: Modal analysis

Controlled terms: Electric excitation? - ?Natural frequencies? - ?Power transmission? - ?Tractors (agricultural)? - ?Tractors (truck)? - ?Transmissions

Uncontrolled terms: Bidirectional coupling? - ?Condition? - ?Coupling devices? - ?Design Analysis? - ?Dual-motors? - ?Dynamics coupling? - ?Electric drive system? - ?Electric tractors? - ?Excitation frequency? - ?Performances analysis

Classification code: 602.2 Mechanical Transmissions? - ?663.1 Heavy Duty Motor Vehicles? - ?701.1 Electricity: Basic Concepts and Phenomena? - ?821.1 Agricultural Machinery and Equipment? - ?921 Mathematics

Numerical data indexing: Frequency 3.80E+02Hz, Frequency 9.055E+02Hz

DOI: 10.6041/j.issn.1000-1298.2022.04.044

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

33. Cold Chain Transportation Environment Prediction Method Based on K-medoids and LSTM

Accession number: 20221912082971

Title of translation: K-medoidsLSTM

Authors: Yuan, Yanwei (1); Sun, Guoqing (1); Liu, Yangchun (1); Wang, Meng (1); Zhao, Bo (1); Wang, Fengzhu (1)

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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 322-329 and 402

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Among the many environmental factors in the cold chain storage and transportation environment, the temperature and humidity in the cabin are the key factors, and they have characteristics such as nonlinearity and strong coupling. At the same time, the acquired data has noise interference, In order to solve the traditional single-point forecast cannot meet the needs of cold chain storage and transportation environmental performance evaluation, a multi-step prediction method for refrigerated compartment temperature and humidity based on the combination of K-medoids and long short-term memory network (LSTM) was proposed. The historical temperature and humidity data in the refrigerated compartment and the distribution characteristics of the collection nodes were taken as input according to the time series, and K-medoids were used for data fusion, and then the fused data was input into the LSTM network according to the time series for temperature and humidity prediction. The prediction method was applied to the prediction of temperature and humidity in the refrigerated vehicle of Zhoushan Xingye Group. The test results showed that the RMSE of the prediction method for the temperature in the refrigerated vehicle was 0.343 8, the MAE was 0.273 0, and the MAPE was 1.51%; the RMSE of the humidity in the refrigerated compartment was 2.561 9%, the MAE was 1.995 6%, and the MAPE was 3.53%; compared with K-medoids-BP, K-medoids-RBF, K-medoids-Elman neural network model, all showed that the proposed model had higher prediction accuracy, and can provide strategic support for the fine management and regulation of the cold chain transportation environment. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 28

Main heading: Forecasting

Controlled terms: Brain? - ?Data fusion? - ?Digital storage? - ?Environmental management? - ?Long short-term memory? - ?Time series

Uncontrolled terms: Cold chain? - ?Cold chain transportation? - ?K-medoids? - ?K-medoids algorithms? - ?Long short-term memory network? - ?Memory network? - ?Prediction methods? - ?Storage and transportations? - ?Temperature and humidities? - ?Temperature and humidity prediction

Classification code: 454.1 Environmental Engineering, General? - ?454.2 Environmental Impact and Protection? - ?461.1 Biomedical Engineering? - ?722.1 Data Storage, Equipment and Techniques? - ?723.2 Data Processing and Image Processing? - ?922.2 Mathematical Statistics

Numerical data indexing: Percentage 1.51E+00%, Percentage 3.53E+00%, Percentage 6.00E+00%, Percentage 9.00E+00%

DOI: 10.6041/j.issn.1000-1298.2022.04.034

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

34. Investigation on Unsteady Erosion Characteristics in Impeller of Double Suction Centrifugal Pump

Accession number: 20221912081270

Title of translation:

Authors: Zhang, Zichao (1, 2); Li, Yanpin (2, 3); Chen, Dexin (1)

Author affiliation: (1) School of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou; 450045, China; (2) Henan Fluid Machinery Engineering Technology Research Center, North China University of Water Resources and Electric Power, Zhengzhou; 450045, China; (3) Ural Institute, North China University of Water Resources and Electric Power, Zhengzhou; 450045, China

Corresponding authors: Li, Yanpin(liyanpin@ncwu.edu.cn); Li, Yanpin(liyanpin@ncwu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 140-148 and 191

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Double suction centrifugal pumps are widely used in pump stations along the Yellow River. The impeller is the important part and its erosion problem is common. Impeller is a high speed rotating part, there is rotor-stator interference resulting in the erosion characteristics of the impeller is unsteady. The Euler-Euler method was applied to simulate the unsteady solid-liquid two-phase flow in a double suction centrifugal pump. The unsteady characteristics of the erosion rate, impact angle, solid concentration and solid velocity on the impeller wall under different working conditions were analyzed. The results showed that the erosion rate, impact angle, solid concentration and solid velocity of the impeller surface were periodic, which were equal to the impeller rotation period. The erosion rate of steady calculation was far less than the results of unsteady calculation. The steady calculation cannot predict the erosion rate accurately. The most erosion parts were the blade head and blade tail. The erosion area in the middle of the suction surface was larger than that in the pressure surface, while the erosion area of the pressure was larger than that of the suction surface at the blade head and blade tail. The impact angle can enhance or weaken the erosion loss. The fluctuation trend of impact angle was similar as that of erosion rate. The solid concentration had weak influence on the erosion pulsation characteristics and the erosion rate. The solid velocity had a significant effect on the erosion rate. The results can be used to provide guidance for numerical simulation of solid-liquid two-phase flow in pump. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 28

Main heading: Impellers

Controlled terms: Centrifugal pumps? - ?Erosion? - ?Numerical models? - ?Two phase flow

Uncontrolled terms: Double-suction centrifugal pumps? - ?Erosion characteristics? - ?Erosion rates? - ?Impact angles? - ?Sediment erosion? - ?Solid velocities? - ?Solid-liquid two-phase flow? - ?Solid-solid? - ?Solids concentrations? - ?Unsteady

Classification code: 601.2 Machine Components? - ?618.2 Pumps? - ?631.1 Fluid Flow, General? - ?921 Mathematics

DOI: 10.6041/j.issn.1000-1298.2022.04.014

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

35. Method and Instrument Design for Stem Ice Content Detection Based on Plant Dielectric Properties

Accession number: 20221912083633

Title of translation:

Authors: Tian, Hao (1); Zhao, Yandong (2); Xie, Tao (1); Yu, Chongchong (1)

Author affiliation: (1) School of Artificial Intelligence, Beijing Technology and Business University, Beijing; 100048, China; (2) School of Technology, Beijing Forestry University, Beijing; 100083, China

Corresponding author: Xie, Tao(timonxie@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 235-244

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: To address the difficulty of in situ and online monitoring of stem freezing information during the overwintering period of woody plants, an in situ and online sensor for the detection of stem volume ice content was developed based on the relationship between the change of water-ice ratio and stem impedance during stem freezing. The results of standing wave measurement frequency and circuit simulation showed that the circuit can effectively characterize the change of reactance component in stem impedance by using 100 MHz signal excitation source; the analysis of impedance change during plant freezing showed that it was feasible to characterize the change of stem volume ice content based on the change of stem impedance. Probe electromagnetic spatial distribution simulation results showed that the sensor effective measurement area was 0~10 cm; static and dynamic characteristics analysis showed that the sensor measurement range was 0~100%, resolution was 0.05%, measurement accuracy was ±1.76%, and it had good stability, the dynamic response time was 0.172 s, and power consumption was 0.25 W. The indoor and outdoor experiments showed that the sensor can effectively track the dynamic changes of stem volume ice content in the stem and the degree of freezing stress, reflect the physiological characteristics of the daily cycle of water-ice transformation during the overwintering period of plants, and it provided technical support for the monitoring of plant ice content and the cultivation of plantation forests under different latitudes. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 24

Main heading: Dielectric properties

Controlled terms: Circuit simulation? - ?Elastic waves? - ?Electric excitation? - ?Electromagnetic simulation? - ?Freezing? - ?Ice? - ?Physiological models

Uncontrolled terms: Dielectrics property? - ?Freezing stress? - ?Ice content? - ?Instrument designs? - ?Standing wave? - ?Standing wave rate? - ?Static and dynamic characteristics? - ?Stem ice content? - ?Stem-volume? - ?Water ice

Classification code: 701.1 Electricity: Basic Concepts and Phenomena? - ?703.1.1 Electric Network Analysis? - ?931.1 Mechanics? - ?931.2 Physical Properties of Gases, Liquids and Solids

Numerical data indexing: Frequency 1.00E+08Hz, Percentage 0.00E00% to 1.00E+02%, Percentage 1.76E+00%, Percentage 5.00E-02%, Power 2.50E-01W, Size 0.00E00m to 1.00E-01m, Time 1.72E-01s

DOI: 10.6041/j.issn.1000-1298.2022.04.025

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

36. Weed Detection Based on Multi-scale Fusion Module and Feature Enhancement

Accession number: 20221912083620

Title of translation:

Authors: Kang, Jie (1); Liu, Gang (1); Guo, Guofa (1)

Author affiliation: (1) School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi’an; 710021, China

Corresponding author: Guo, Guofa(guogf@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 254-260

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problems of single shot multibox detector (SSD) network model with large parameters, poor detection of small targets and low detection accuracy of crops and weeds, a weed detection method based on multi-scale fusion module and feature enhancement was proposed. Firstly, MobileNet, a lightweight network, was used as the feature extraction network of SSD model to reduce the amount of model parameters and improve the speed of model feature extraction. And a multi-scale fusion module was designed to enhance the key information in the shallow feature map by channel attention mechanism, and then the receptive field was expanded by dilated convolution with different expansion rates. Finally, the two branches were fused, so that the shallow feature map used to detect small targets can contain rich semantic information while containing more detailed information of small targets. On this basis, the output six feature maps were feature enhanced by the channel attention mechanism to enhance the key features in the images and make the extracted features more directional, thus improving the detection accuracy of the model for crops and weeds. The experimental results showed that the weed detection model based on multi-scale fusion module and feature enhancement proposed can achieve an average detection accuracy of 88.84% in the image data set of sugar beet and weeds in the natural environment, which was 3.23 percentage points better than that of the standard SSD model, 57.09% less parameters, and 88.44% faster detection speed, while the model’s ability to detect small-scale crops and weeds, and leaf overlap were all improved. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 22

Main heading: Crops

Controlled terms: Extraction? - ?Feature extraction? - ?Image enhancement? - ?Semantics? - ?Sugar beets? - ?Weed control

Uncontrolled terms: Attention mechanisms? - ?Channel attention mechanism? - ?Detector modeling? - ?Fusion features? - ?Fusion modules? - ?Multi-scale fusion module? - ?Multiscale fusion? - ?Single shot multibox detector model? - ?Single-shot? - ?Weed detection

Classification code: 802.3 Chemical Operations? - ?821.4 Agricultural Products

Numerical data indexing: Percentage 5.709E+01%, Percentage 8.844E+01%, Percentage 8.884E+01%

DOI: 10.6041/j.issn.1000-1298.2022.04.027

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

37. Multi-source Remote Sensing Crop Identification Based on XGBoost Algorithm in Cloudy and Foggy Area

Accession number: 20221912084042

Title of translation: XGBoost

Authors: Zhang, Chao (1, 2); Chen, Chang (1); Xu, Haiqing (3); Xue, Lin (3)

Author affiliation: (1) College of Land Science and Technology, China Agricultural University, Beijing; 100083, China; (2) Key Laboratory for Agricultural Land Quality Monitoring and Control, Ministry of Natural Resources, Beijing; 100083, China; (3) Anhui Wannan Tobacco Leaf Co., Ltd., Xuancheng; 242000, China

Corresponding author: Xue, Lin(172804823@qq.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 149-156

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Rapid and accurate acquisition of crop acreage information is helpful for crop growth monitoring, yield estimation, pest monitoring and early warning. Sentinel-1/2 was used as the data source for the characteristics of cloud and fog in Jiangnan region of China, and multi-source data was used, such as optical remote sensing images and synthetic aperture radar (SAR) images. Then, according to the characteristics of crop mulching in early spring, the SAR plastic-film vegetation index (SPVI) was constructed. A crop identification method based on XGBoost algorithm was studied by using time series spectrum and vegetation index characteristics.Finally, taking Xuanzhou District, Xuancheng City, Anhui Province as the research area, a case study was carried out to verify the results. Sentinel-2 images were used as the main method to obtain the time series index, and four Sentinel-1 radar images were added to supplement the optical images missing in the cloud and rain period (May to July). The overall accuracy in cloud coverage area was 84.87%, which was better than that of random forest (83.93%).And the accuracy of tobacco identification mapping was 88.69%, and the user’s accuracy was 95.51%. The overall accuracy of the Sentinel-2 image was 79.01%, the mapping accuracy of tobacco was 82.30%, and the user’s accuracy was 93.49%. The research results showed that the multi-source remote sensing crop identification method based on the constructed XGBoost algorithm can meet the accuracy requirements. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 27

Main heading: Remote sensing

Controlled terms: Crops? - ?Decision trees? - ?Geometrical optics? - ?Mapping? - ?Radar imaging? - ?Synthetic aperture radar? - ?Time series? - ?Tobacco? - ?Vegetation

Uncontrolled terms: Cloudy area? - ?Crop identification? - ?Identification method? - ?Multi-source remote sensing? - ?Multi-Sources? - ?Remote-sensing? - ?Sentinel-1? - ?Times series? - ?Vegetation index? - ?Xgboost algorithm

Classification code: 405.3 Surveying? - ?716.2 Radar Systems and Equipment? - ?741.1 Light/Optics? - ?821.4 Agricultural Products? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory? - ?922.2 Mathematical Statistics? - ?961 Systems Science

Numerical data indexing: Percentage 7.901E+01%, Percentage 8.23E+01%, Percentage 8.393E+01%, Percentage 8.487E+01%, Percentage 8.869E+01%, Percentage 9.349E+01%, Percentage 9.551E+01%

DOI: 10.6041/j.issn.1000-1298.2022.04.015

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

38. Design and Test of Profiling Progressive Natural Rubber Automatic Tapping Machine

Accession number: 20221912081877

Title of translation:

Authors: Zhang, Xirui (1); Cao, Chao (1); Zhang, Li’na (2); Xing, Jiejie (1); Liu, Junxiao (1); Dong, Xuehu (3)

Author affiliation: (1) Mechanical and Electrical Engineering College, Hainan University, Haikou; 570228, China; (2) College of Engineering, China Agricultural University, Beijing; 100083, China; (3) Hainan Agricultural Machinery Appraisal and Extension Station, Haikou; 570206, China

Corresponding author: Xing, Jiejie(584731137@qq.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 99-108

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: To solve the problems of high working intensity, high technical difficulty, and shortage of cutting workers of natural rubber in China, a profiling progressive natural rubber tapping machine was designed. Through the analysis of the tapping trajectory equation, the lead screw transmission implemented vertical movement and the cylindrical gear meshing transmission were used to achieve the compound movement of the elliptic motion for the tapping movement way. When the whole machine was working, it was fixed on the rubber tree through the adjustable binding mechanism; the Arduino development board was used to control the motor’s action sequence, Dc motor rod was used to control the knife in and out of the cutting machine, decelerating stepper motor was used to complete the compound cutting machine’s rubber cutting movement, and the stepping motor was used to complete the displacement action. To verify the performance of the machine for forest test, Design-Expert software was used to design and test. The results showed that when the rubber tapping machine was at a motor speed of 21 r/min, a cutter angle of 25° and a tension spring preload of 20 N, the quality of rubber tapping was the best and the power consumption was the lowest, with a discharge volume of 6.29 mL in the first five minutes and average power consumption of 1.07 W?h. The research result can provide a reference for the subsequent development of mechanized and intelligent rubber tapping equipment. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 38

Main heading: Rubber

Controlled terms: Automation? - ?DC motors? - ?Electric machine control? - ?Electric power utilization? - ?Needles? - ?Rubber machinery? - ?Software testing? - ?Stepping motors? - ?Transmissions

Uncontrolled terms: Design and tests? - ?Profiling progressive? - ?Rubber tapping machine? - ?Screw transmission? - ?Stationary? - ?Tapping machine? - ?Technical difficulties? - ?Trajectory equation? - ?Vertical movement? - ?Workers’

Classification code: 602.2 Mechanical Transmissions? - ?705.3 Electric Motors? - ?705.3.2 DC Motors? - ?706.1 Electric Power Systems? - ?723.5 Computer Applications? - ?731 Automatic Control Principles and Applications? - ?731.2 Control System Applications? - ?818.1 Natural Rubber? - ?818.4 Rubber Factories and Machinery

Numerical data indexing: Angular velocity 3.507E-01rad/s, Force 2.00E+01N, Power 1.07E+00W, Volume 6.29E-06m3

DOI: 10.6041/j.issn.1000-1298.2022.04.010

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

39. Establishment and Experimental Verification of Deep Learning Model for On-line Recognition of Field Cabbage

Accession number: 20221912084067

Title of translation:

Authors: Zhai, Changyuan (1, 2); Fu, Hao (1, 2); Zheng, Kang (1); Zheng, Shenyu (1); Wu, Huarui (1); Zhao, Xueguan (1)

Author affiliation: (1) Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing; 100097, China; (2) College of Mechanical Engineering, Guangxi University, Nanning; 530004, China

Corresponding author: Zhao, Xueguan(zhaoxg@nercita.org.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 293-303

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: It is difficult to accurately identify and locate the target in the process of target application of field vegetables. Aiming at the problem, taking cabbage as the research object, the target recognition method and experimental research based on deep learning were carried out. Compared with Faster R-CNN, SSD and YOLO v5s, three current target detection networks with good performance, YOLO v5s was selected as the transfer learning model for field cabbage recognition. Lightweight neural network was selected as the backbone. The fusion depth can be separated and convoluted to reduce the calculation parameters of the model, YOLO-mdw network integrating MobileNet v3s backbone and deepwise separable convolution was proposed to realize the real-time recognition of field cabbage in complex environment. A cabbage target recognition and positioning method based on Kalman filter and Hungarian algorithm was proposed, and the model was deployed on NVIDIA Xavier NX development board. The experimental results showed that the recognition accuracy of the recognition network under sunny, cloudy and rainy weather conditions was 93.14%, 94.75% and 94.23%, respectively. The image processing time was 54.09 ms, which was 26.98% shorter than that of the original YOLO v5s. When the speed was not more than 0.6 m/s, the recognition accuracy was 94%, the average positioning error was 4.13 cm, and the average cabbage diameter recognition error was 1.42 cm. The designed target recognition system could identify and locate cabbage in complex field environment in real time, and provide technical support for target-oriented spraying. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 32

Main heading: Convolution

Controlled terms: Complex networks? - ?Convolutional neural networks? - ?Deep learning? - ?Image processing

Uncontrolled terms: Cabbage? - ?Deep learning? - ?Embedded deployment? - ?Experimental verification? - ?Field environment? - ?Learning models? - ?Recognition accuracy? - ?Recognition and tracking? - ?Recognition methods? - ?Target recognition

Classification code: 461.4 Ergonomics and Human Factors Engineering? - ?716.1 Information Theory and Signal Processing? - ?722 Computer Systems and Equipment? - ?723.2 Data Processing and Image Processing

Numerical data indexing: Percentage 2.698E+01%, Percentage 9.314E+01%, Percentage 9.40E+01%, Percentage 9.423E+01%, Percentage 9.475E+01%, Size 1.42E-02m, Size 4.13E-02m, Time 5.409E-02s, Velocity 6.00E-01m/s

DOI: 10.6041/j.issn.1000-1298.2022.04.031

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

40. Prediction Method of Chlorophyll Fluorescence Fv/Fm Image Based on Hyperspectral Image

Accession number: 20221912083867

Title of translation: Fv/Fm

Authors: Wang, Dong (1, 2); Shen, Kaicheng (1, 2); Fan, Yeman (1, 2); Long, Bowei (1, 2)

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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 192-198

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The chlorophyll fluorescence Fv/Fm parameter has great significance in plant stress. Current acquisition approaches for the plant’s Fv/Fm need dark adaptation, which cannot realize a real-time measurement. In order to achieve real-time acquisition of Fv/Fm, peppers under four water stress levels were used as research objects, and the Fv/Fm parameter was predicted based on hyperspectral imaging and characteristic wavelength screening methods. The median filter was used to denoise the Fv/Fm image, and the hyperspectral image was matched with the Fv/Fm image based on two-dimensional coordinate transformation. The three types of spectral preprocessing algorithms, including the standard normal variate (SNV), multivariate scattering correction (MSC), and Savitzky-Golay convolution smoothing (SG) were compared, and the successive projections algorithm (SPA) was used to select the characteristic wavelengths. Based on the optimal SG preprocessing algorithm, the modelling accuracy of the partial least square regression (PLSR), analytical error backpropagation (BP) neural network, and radial basis function (RBF) neural network were compared, and the BP algorithm showed the relatively high determination coefficient of 0.918 and root mean square error of 0.011 in the test set. In summary, the SG-SPA-BP modelling method reduced the complexity of the model, while maintaining a high prediction accuracy, which provided an effective approach for predicting the chlorophyll fluorescence Fv/Fm image in real-time. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 28

Main heading: Spectroscopy

Controlled terms: Chlorophyll? - ?Fluorescence? - ?Hyperspectral imaging? - ?Image enhancement? - ?Matched filters? - ?Mean square error? - ?Median filters? - ?Plants (botany)? - ?Radial basis function networks

Uncontrolled terms: Characteristic wavelength? - ?Chlorophyll fluorescence? - ?Chlorophyll fluorescence image? - ?Fluorescence image? - ?Image-based? - ?Neural-networks? - ?Plant stress? - ?Pre-processing algorithms? - ?Prediction methods? - ?Successive projections algorithm

Classification code: 703.2 Electric Filters? - ?716.1 Information Theory and Signal Processing? - ?741.1 Light/Optics? - ?746 Imaging Techniques? - ?804.1 Organic Compounds? - ?922.2 Mathematical Statistics

Numerical data indexing: Size 2.794E-04m

DOI: 10.6041/j.issn.1000-1298.2022.04.020

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

41. Machine Vision Real Time Detection of Inferior Cocoons Based on Lightweight Manipulation Network

Accession number: 20221912083595

Title of translation:

Authors: Zhang, Yinhui (1); Yang, Hongkuan (1); Zhu, Shouye (1); He, Zifen (1)

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

Corresponding author: He, Zifen(zyhhzf1998@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 261-270

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the low efficiency in the detection of inferior cocoons during the cocoons processing due to manual visual inspection, a method based on machine vision was adopted to detect inferior cocoons. Firstly, according to the depth of field of image acquisition system, appropriate shooting distance for the line scan camera was selected, and further the parameters of the image acquisition system were configured based on the sampling frequency. Secondly, the inferior cocoons detection data set was constructed based on the area array images obtained by synthesizing the linear array images. Finally, a inferior cocoons real time detection model (inferior cocoons net, ICNet) was designed based on YOLO v4 target detection model. The model used the K-means algorithm to perform cluster analysis on the data set of inferior cocoons to preset the candidate anchor parameters and improve the model accuracy. By adopting the method of model depth manipulation, the model was compressed to achieve lightweight and fast detection speed. In addition, the lightweight convolution module was designed for a lightweight feature extraction network to further improve the speed of the model. Compared with the original YOLO v4 basic model, experimental results showed that the mean average precision of ICNet inferior cocoons real time detection model was improved by 1.87 percentage points to 95.55%, the storage space occupied by the model weight was compressed by 40.82% to 145.00 MB, and the average detection speed was improved by 91.65% to 49.37 frames/s. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 28

Main heading: Convolution

Controlled terms: Cluster analysis? - ?Digital storage? - ?Image acquisition? - ?K-means clustering? - ?Signal detection

Uncontrolled terms: Array images? - ?Data set? - ?Detection models? - ?Image acquisition systems? - ?Inferior cocoon? - ?Lightweight convolution module? - ?Machine-vision? - ?Model depth manipulation? - ?Real-time detection? - ?YOLO v4

Classification code: 716.1 Information Theory and Signal Processing? - ?722.1 Data Storage, Equipment and Techniques? - ?723 Computer Software, Data Handling and Applications? - ?903.1 Information Sources and Analysis

Numerical data indexing: Percentage 4.082E+01% to 1.45E+02%, Percentage 9.165E+01% to 4.937E+01%, Percentage 9.555E+01%

DOI: 10.6041/j.issn.1000-1298.2022.04.028

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

42. Recognition of Perinatal Sows’ Posture Based on EfficientDet Algorithm

Accession number: 20221912081936

Title of translation: EfficientDet

Authors: Liu, Longshen (1, 2); Shu, Cuini (1, 2); Li, Bo (1, 2); Shen, Mingxia (1, 2); Tai, Meng (1, 2); Liu, Kang (2, 3)

Author affiliation: (1) College of Artificial Intelligence, Nanjing Agricultural University, Nanjing; 210031, China; (2) Jiangsu Smart Animal Husbandry Equipment Technology Innovation Center, Nanjing; 210031, China; (3) College of Animal Science and Technology, 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: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 271-279

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The maternal behavior of sows in the perinatal period directly affects the survival rate of piglets, and the posture of the sows is an important manifestation of its maternal behavior and nesting behavior. Current perinatal sow’ posture transformation mainly relies on manual observation, which is time-consuming, labor-intensive and subjective. Aiming to recognize sows’ stand, sit, sternum, lateral and lateral directions totally 24 sows’ video were collected and the data pre-processing research was performed, and the EfficientDet network was used to perform deep feature extraction on the image of sows in the farrowing bed. The breast facing the heat lamp for piglet and the breast averting the heat lamp were included. The results showed that the average recognition accuracy (mAP) of the algorithm was 93.97%, the detection speed of pictures was 26.2 f/s, and the detection speed of videos was 10.66 f/s. By analyzing the postpartum of sows before and 24 hours after delivery, sows showed significant nesting behaviors before delivery, and the frequency of posture changes was increased obviously(P ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 29

Main heading: Facings

Controlled terms: Data handling? - ?Deep learning

Uncontrolled terms: ’current? - ?Data preprocessing? - ?Deep learning? - ?Detection speed? - ?Efficientdet? - ?Labour-intensive? - ?Lateral directions? - ?Perinatal sow? - ?Posture recognition? - ?Survival rate

Classification code: 402 Buildings and Towers? - ?408.2 Structural Members and Shapes? - ?461.4 Ergonomics and Human Factors Engineering? - ?723.2 Data Processing and Image Processing

Numerical data indexing: Percentage 9.397E+01%, Time 8.64E+04s

DOI: 10.6041/j.issn.1000-1298.2022.04.029

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

43. Classification of Village Remediation Types from Perspective of Suitability-Planning-Grade

Accession number: 20221912083719

Title of translation: --

Authors: Tang, Linnan (1, 2); Liu, Yu (1, 2); Pan, Yuchun (1, 2); Zheng, Yandong (3)

Author affiliation: (1) Research Center of Information Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing; 100097, China; (2) National Engineering Research Center for Information Technology in Agriculture, Beijing; 100097, China; (3) Land Consolidation and Rehabilitation Center of Hebei Province, Shijiazhuang; 050031, China

Corresponding authors: Liu, Yu(Liuyu@nercita.org.cn); Liu, Yu(Liuyu@nercita.org.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 218-227

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Scientifically dividing the types of village remediation and formulating rational and efficient strategies are important to divide and optimize the spatial distribution of large villages and towns. Based on the multi-source data such as point of interest (POI) and land use status data, a classification scheme of village remediation types from the perspective of suitability-planning-grade was designed comprehensively with the methods of suitability evaluation and gravity model, and Miyun District was taken as an example for empirical analysis. The results showed that under the comprehensive effect of economic development, living convenience and livable environment, the suitability level of village layout in Miyun District was declined from southwest to northeast. Based on the gravity model, totally 332 villages of Miyun District were divided into 57 central villages, 103 sub-central villages and 172 general ones. Considering the suitability, planning constraints and village level, Miyun District can be divided into urban construction, characteristic promotion, improvement , improvement , and overall relocation. In the future, the overall relocation villages would be reclaimed, while the other villages would be revitalized. Combining with village layout suitability evaluation, grade division, landscape pattern analysis and remediation potential, meanwhile, focusing on the idea of reduction planning, five strategies for village remediation were provided. The research results can provide references for optimization and reduction of village land layout and comprehensive land consolidation. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 35

Main heading: Classification (of information)

Controlled terms: Economics? - ?Land use? - ?Pollution? - ?Rural areas? - ?Zoning

Uncontrolled terms: % reductions? - ?Efficient strategy? - ?Gravity modeling? - ?Layout suitability evaluation? - ?Miyun district? - ?Multisource data? - ?Suitability evaluation? - ?Village classification? - ?Village remediation? - ?Villages and towns

Classification code: 403 Urban and Regional Planning and Development? - ?716.1 Information Theory and Signal Processing? - ?903.1 Information Sources and Analysis? - ?971 Social Sciences

DOI: 10.6041/j.issn.1000-1298.2022.04.023

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

44. Multi-scene Fast Motion Planning of Manipulator Based on Improved RRT*-Connect Algorithm

Accession number: 20221912083782

Title of translation: RRT*-Connect

Authors: Wang, Huaizhen (1, 2); Gao, Ming (1); Wang, Jianhua (1); Fang, Lijin (2); Li, Hongsheng (1)

Author affiliation: (1) Institute of Shandong New Generation Information Industry Technology, Inspur Group, Ji’nan; 250101, China; (2) Faculty of Robot Science and Engineering, Northeastern University, Shenyang; 110819, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 432-440

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problems of low efficiency and poor accuracy of RRT*-Connect algorithm in manipulator motion planning, a heuristic RRT*-Connect manipulator motion planning algorithm with adaptive step size was proposed. Firstly, the target bias strategy was introduced to sample with the ellipsoid subset constraints, so that the sampling points can converge to the optimal value more quickly. Secondly, as the nodes were extended, an adaptive step size strategy was designed to reduce the number of iterations of the algorithm, effectively reduce the running time and shorten the length of the planned path. Then, when the total number of nodes in the search tree was greater than the preset threshold, the search tree was pruned by the search tree optimization pruning method, and the invalid sampling points were deleted to further reduce the running time. In order to verify the advantages of this algorithm, Matlab simulation comparison was carried out with RRT*, RRT* -Connect and IRRT* algorithms in various planning scenarios. The simulation results showed that the proposed algorithm had faster convergence speed, higher accuracy and efficiency in the planning process. In order to verify the practicability of this algorithm, different obstacle experimental scenes were constructed, and the experimental verification was carried out on Sawyer manipulator experimental platform. The experimental results showed that this algorithm had strong adaptability in different obstacle environments. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 22

Main heading: Motion planning

Controlled terms: Efficiency? - ?Manipulators? - ?MATLAB? - ?Optimization? - ?Robot programming

Uncontrolled terms: Adaptive step size? - ?Fast motions? - ?Improved RRT? - ?Improved RRT*-connect algorithm? - ?Manipulator motion-planning? - ?Motion-planning? - ?Multi-scene? - ?Running time? - ?Sampling points? - ?Search trees

Classification code: 723.1 Computer Programming? - ?723.5 Computer Applications? - ?731.5 Robotics? - ?913.1 Production Engineering? - ?921 Mathematics? - ?921.5 Optimization Techniques

DOI: 10.6041/j.issn.1000-1298.2022.04.045

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

45. Extraction of Erigeron breviscapus Planting Information by Unmanned Aerial Vehicle Remote Sensing Based on Weakly Supervised Semantic Segmentation

Accession number: 20221912081913

Title of translation:

Authors: Huang, Liang (1, 2); Wu, Chunyan (1); Li, Xiaoxiang (1); Yang, Wei (1); Yao, Wanlu (1)

Author affiliation: (1) Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming; 650093, China; (2) Surveying and Mapping Geo-Informatics Technology Research Center on Plateau Mountains of Yunnan Higher Education, Kunming; 650093, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 157-163 and 217

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to get spatial information of planting in time, protect and utilize Erigeron breviscapus, the fuzzy inter-ridge boundary and the difficulty in obtaining training data set of fine markers were solved. An unmanned aerial vehicle remote sensing planting information extraction method for Erigeron breviscapus based on the combination of RGB band maximum difference method and weakly supervised semantic segmentation was proposed. Firstly, Erigeron breviscapus was labeled at border level in order to make weakly labeled data set to reduce labeling time cost. Then, a lightweight U-Net network was used for weakly supervised semantic segmentation of the weakly labeled data set to achieve rough extraction of Erigeron breviscapus. Finally, the RGB band maximum difference method was used to remove the non-Erigeron breviscapus in the rough extraction results to achieve the fine extraction of Erigeron breviscapus growing area. The experimental results showed that the proposed method in IoU was 90.55%, 90.74% and 86.63%, respectively, in three selected Erigeron breviscapus scenes, and the accuracy was higher than object-oriented classification method and maximum likelihood method. The effectiveness of the method was verified by ablation experiments. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 23

Main heading: Unmanned aerial vehicles (UAV)

Controlled terms: Antennas? - ?Data mining? - ?Maximum likelihood? - ?Remote sensing? - ?Semantic Segmentation? - ?Semantics

Uncontrolled terms: Erigeron Breviscapus? - ?Extraction of planting information? - ?Lightweight U-net network? - ?Net networks? - ?Plantings? - ?Remote-sensing? - ?RGB bands? - ?Semantic segmentation? - ?Unmanned aerial vehicle remote sensing? - ?Weakly supervised semantic segmentation

Classification code: 652.1 Aircraft, General? - ?723.2 Data Processing and Image Processing? - ?723.4 Artificial Intelligence? - ?922.1 Probability Theory

Numerical data indexing: Percentage 8.663E+01%, Percentage 9.055E+01%, Percentage 9.074E+01%

DOI: 10.6041/j.issn.1000-1298.2022.04.016

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

46. Investigation on Two-dimensional Piston Dynamic Flowmeter

Accession number: 20221912082951

Title of translation:

Authors: Ding, Chuan (1); Chen, Haoqi (1); Wang, Xi (1); Zhan, Lei (2); Zhang, Lichao (1); Ruan, Jian (1)

Author affiliation: (1) College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou; 310023, China; (2) Kunming Branch of Xi’an Precision Machinery Research Institute, Kunming; 650101, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 450-458

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: A two-dimensional piston dynamic flowmeter was proposed, which utilized the two-dimensional piston with two degrees of freedom as a measuring unit. The two dimensional piston simultaneously performed both reciprocating and rotating motions. Therefore, the flowmeter took into account the high dynamic characteristics of the no-loaded dynamic cylinder to measure the unsteady flow, and the ability of the rotor flowmeter to continuously measure the flow rate. The mechanical structure and working principle of the flowmeter were explained, and the corresponding mathematical model was obtained by establishing the dynamic equation and flow continuity equation to study the dynamic characteristics of the flowmeter. After that, a prototype was designed and manufactured. A dynamic performance test bench was built for experimental research. The results of experiments showed that the two-dimensional piston dynamic flowmeter had better dynamic characteristics. When the oscillation frequency of the measured sinusoidal flow signal reached 5 Hz, the frequency of the flow measured by the two-dimensional piston flowmeter was almost the same as that measured by the no-load dynamic cylinder, and the phase difference between these two signals was close to zero. However, the amplitude attenuation of the output signal of the flowmeter was more serious, which was caused by the presence of air in the flowmeter. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 27

Main heading: Flow rate

Controlled terms: Cylinders (shapes)? - ?Degrees of freedom (mechanics)? - ?Flow measurement? - ?Flowmeters? - ?Oscillating flow? - ?Pistons

Uncontrolled terms: Dynamic flow rate? - ?Dynamic flows? - ?Dynamics characteristic? - ?Flowmeter? - ?Hydraulic components? - ?Reciprocating motion? - ?Rotating motion? - ?Two-degree-of-freedom? - ?Two-dimensional? - ?Two-dimensional piston

Classification code: 612.1.1 Internal Combustion Engine Components? - ?631 Fluid Flow? - ?631.1 Fluid Flow, General? - ?931.1 Mechanics? - ?943.1 Mechanical Instruments? - ?943.2 Mechanical Variables Measurements

Numerical data indexing: Frequency 5.00E+00Hz

DOI: 10.6041/j.issn.1000-1298.2022.04.047

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.

      

47. Estimation of Global Terrestrial Gross Primary Productivity Based on Solar-induced Chlorophyll Fluorescence

Accession number: 20221912084109

Title of translation:

Authors: Yuan, Yanbin (1); Zhang, Chengfang (1, 2); Huang, Peng (1); Dong, Heng (1); Yang, Jinghao (1)

Author affiliation: (1) School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan; 430070, China; (2) School of Civil Engineering, Wuhan Huaxia University of Technology, Wuhan; 430223, China

Corresponding author: Dong, Heng(simondong@whut.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 4

Issue date: April 25, 2022

Publication year: 2022

Pages: 183-191

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Gross primary productivity is a key parameter for the research of global carbon cycle and global change. The remote sensing-based method is the mainstream approach to estimate GPP of terrestrial ecosystems.Solar-induced chlorophyll fluorescence is directly related to plant photosynthesis, and it is a signal emitted by the photosystem after plants absorb sunlight energy. Solar-induced chlorophyll fluorescence remote sensing can obtain vegetation growth status information in time. On the basis of the GPP-SIF empirical linear estimation model, some factors affecting the photosynthetic capacity and canopy SIF emission were introduced to construct a theoretical model of GPP estimation based on near-infrared fluorescence. The model is a goodremote sensing tool to monitor vegetation without severe long-term external stress.Verification analysis was carried out in different types of vegetation with the GOME-2 SIF products, FLUXNET2015 GPP products and MODIS GPP products.The research results showed that the estimation accuracy of the model on all vegetation types was greatly improved compared with the empirical linear estimation model. At the same time, the model can better reflect the seasonal change characteristics of the different vegetation types represented by each site. The application on the scale also achieved good results. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 30

Main heading: Remote sensing

Controlled terms: Chlorophyll? - ?Fluorescence? - ?Infrared devices? - ?Photosynthesis? - ?Phytoplankton? - ?Vegetation

Uncontrolled terms: Carbon cycle changes? - ?Chlorophyll fluorescence? - ?Estimation models? - ?Global carbon cycle? - ?Gross primary productivity? - ?Keys parameters? - ?Linear estimation? - ?Remote-sensing? - ?Solar-induced chlorophyll fluorescence? - ?Vegetation type

Classification code: 461.9 Biology? - ?471 Marine Science and Oceanography? - ?741.1 Light/Optics? - ?802.2 Chemical Reactions? - ?804.1 Organic Compounds

DOI: 10.6041/j.issn.1000-1298.2022.04.019

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2022 Elsevier Inc.