2018年第2期共收录54篇

1. Prediction Method of Soil Available Phosphorus Using Hyperspectral Data Based on PLS-BPNN

Accession number: 20182405309203

Authors: Qi, Haijun (1); Li, Shaowen (1); Karnieli, Arnon (2); Jin, Xiu (1); Wang, Wencai (1)

Author affiliation: (1) College of Information and Computer Science, Anhui Agricultural University, Hefei; 230036, China; (2) Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer; 84990, Israel

Corresponding author: Li, Shaowen(shwli@ahau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 166-172

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Soil available phosphorus (AP) is supposed to be an important nutrient constituent for the growth and development of crops. Hyperspectral analysis has proven to be a rapid and effective means for quantitatively predicting soil AP, which has a good prospect benefit from the narrow bandwidth and the high resolution. However, the existence of multicollinearity and redundant considerably leads to overfitting of the regression model and decrease of the generalization ability. A total of 145 lime concretion black soil samples collected from the Northern Anhui Plain, China, were used as research objects to investigate the prediction performance of the back-propagation neural network (BPNN) based on the partial least square regression (PLS-R) algorithm. The PLS-R was applied to conduct dimensionality reduction and feature selection on the soil visible and near infrared hyperspectral data ranging from 400~1 000 nm with 339 wavelengths. Five latent variables (LVs) were obtained by the leave one out cross-validation, and nine optimal wavelengths were selected by the variable importance in projection (VIP) scores. The BPNN regression models were built with the input of the five latent variables (LVs-BPNN), the nine optimal wavelengths (VIPs-BPNN), and the whole wavelengths (Ws-BPNN), respectively. The ratio of performance to deviation (MRPD) and the ratio of the interpretable sum squared deviation to the real sum squared deviation (MSSR/SST) were selected to evaluate the prediction accuracy and explanatory power of different regression models, respectively. As a result, the prediction accuracies of three BPNN models outperformed the PLS-R model significantly; the VIPs-BPNN model achieved similar performance (MRPDwas 2.05, MSSR/SSTwas 0.79) as the Ws-BPNN model (MRPDwas 2.09, MSSR/SSTwas 0.85) of the validation set, while the MRPDwas decreased obviously from 10.27 (Ws-BPNN) to 2.66 (VIPs-BPNN) of the calibration set; the LVs-BPNN model gained the highest prediction accuracy as MRPDwas 2.29 of the validation set, even though the MSSR/SSTwas slightly decreased to 0.76. The results illustrated that the PLS-BPNN models could significantly reduce the degree of overfitting and improve the generalization ability; moreover, the LVs-BPNN model could improve the accuracy of predicting soil AP. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 41

Main heading: Data reduction

Controlled terms: Backpropagation algorithms? - ?Forecasting? - ?Infrared devices? - ?Lime? - ?Neural networks? - ?Phosphorus? - ?Regression analysis? - ?Soils? - ?Spectrum analysis

Uncontrolled terms: Available phosphorus? - ?Back-propagation neural networks? - ?Data dimensionality reduction? - ?Leave-one-out cross validations? - ?Partial least square regression? - ?Regression algorithms? - ?Variable selection? - ?Visible and near infrared

Classification code: 483.1 Soils and Soil Mechanics

Soils and Soil Mechanics

? - ?723.2 Data Processing and Image Processing

Data Processing and Image Processing

? - ?723.4 Artificial Intelligence

Artificial Intelligence

? - ?804 Chemical Products Generally

Chemical Products Generally

? - ?804.2 Inorganic Compounds

Inorganic Compounds

? - ?922.2 Mathematical Statistics

Mathematical Statistics

Numerical data indexing: Size 4.00e-07m to 1.00e-06m

DOI: 10.6041/j.issn.1000-1298.2018.02.022

Compendex references: YES

Database: Compendex

2. GSAC Model Calibration Based on Evapotranspiration Data from Global Land Data Assimilation System

Accession number: 20182405309211

Authors: Wang, Bin (1, 2); Zhu, Shijiang (3); Huang, Jinbai (4); Ding, Xingchen (1); Gong, Xinglong (1); Wang, Guizuo (5)

Author affiliation: (1) College of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin; 150030, China; (2) Key Laboratory of Efficient Utilization of Agricultural Water Resources, Ministry of Agriculture, Harbin; 150030, China; (3) College of Hydraulic and Environmental Engineering, Three Gorges University, Yichang; 443002, China; (4) College of Hydraulic, Energy and Power Engineering, Yangzhou University, Yangzhou; 225009, China; (5) Development Research Center, Ministry of Water Resources, Beijing; 100038, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 232-240

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Since International Association of Hydrological Science (IAHS) initiated the prediction in ungauged basin (PUB) programe, the regionalization has become a common method for identifying hydrological model parameters in ungauged basins. However, some problems exist in the regionalization method, which was commonly used for parameter identification of hydrological model in ungauged basins, such as different relationships between rainfall and runoff in similar basin, unobvious correlation between hydrological model parameters and basin characteristics, and difficult to select a reference basin in wide range of data-deficient areas, etc. It is significant to study the method of calibrating hydrological model by using the data outside the stream flow. A method was presented to calibrate the parameters of grid-based Sacramento (GSAC) model by using evapotranspiration (ET) data from global land data assimilation system (GLDAS). Firstly, a spatiotemporal-grid corresponding relationship between GLDAS ET and ET simulated by GSAC model was established. Secondly, a evaluation index based on Nash-Sutcliffe efficiency coefficient was constructed to measure the fitting effect between GLDAS ET and ET simulated by GSAC model on 0.25° grid. Finally, validation of GSAC model was carried out based on the GLDAS ET. The results of application in the Hulan River Basin indicated that GLDAS ET can better simulate the actual ET of the Hulan River Basin so that provided a useful input data for calibrating parameters of GSAC; the runoff Nash-Sutcliffe efficiency coefficient of GSAC model calibrated by GLDAS ET were 0.81 and 0.77 in the calibration and validation periods, respectively, and the results were similar to the corresponding values of GSAC model calibrated by runoff data. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 19

Main heading: Parameter estimation

Controlled terms: Climate models? - ?Data acquisition? - ?Efficiency? - ?Evapotranspiration? - ?Rivers? - ?Runoff? - ?Stream flow? - ?Watersheds

Uncontrolled terms: Calibration and validations? - ?Efficiency coefficient? - ?Grid-based? - ?Hydrological model calibrations? - ?International Association? - ?Land data assimilation systems? - ?Prediction in ungauged basins? - ?River basins

Classification code: 407.2 Waterways

Waterways

? - ?443 Meteorology

Meteorology

? - ?444.1 Surface Water

Surface Water

? - ?723.2 Data Processing and Image Processing

Data Processing and Image Processing

? - ?913.1 Production Engineering

Production Engineering

? - ?921 Mathematics

Mathematics

DOI: 10.6041/j.issn.1000-1298.2018.02.030

Compendex references: YES

Database: Compendex

3. Crop Height Measurement System Based on Laser Vision

Accession number: 20182405309184

Authors: Guo, Xinnian (1); Zhou, Hengrui (1); Zhang, Guoliang (2); Ke, Yongbin (1); Su, Jun (1); Zhao, Zhengmin (1)

Author affiliation: (1) Jiangsu Laboratory of Lake Environment Remote Sensing Technologies, Huaiyin Institute of Technology, Huai’an; 223003, China; (2) Faculty of Life Science and Food Engineering, Huaiyin Institute of Technology, Huai’an; 223003, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 22-27

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the problem that vertex and bottom points of the crop are difficult to be identified in height measurement of crop by using the visual method, a crop height measurement system based on laser vision was designed. The improved triangulation model, which was designed according to the character of crop height measurement, was used to describe the mathematical model of the system. The model parameters of the crop height measurement system included three parts, which were the parameters of camera, the equation of light plane and camera installation parameter. The model parameters were calibrated by a novel checkerboard method. In the process of the system parameters calibration, the checkerboard must be placed on the parallel plane of the corresponding horizontal plane where the bottom point of the crop was on at least once, to establish the ground coordinate system. Furthermore, the system identified the crop apex by projecting the laser onto the crop. The results of measurement in crop plant height of 558.00~1 843.30 mm showed that the absolute error was no more than 28.30 mm and the relative error was no more than 2.17%. Furthermore, the restrictive conditions of the system and suggestions for engineering implementation were given. This system can achieve real-time measurement automatically with a high precision and it had good practical value. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 21

Main heading: Crops

Controlled terms: Cameras? - ?Triangulation

Uncontrolled terms: Automatic measurements? - ?Camera installation? - ?Crop height? - ?Engineering implementation? - ?Laser vision? - ?Parameters calibrations? - ?Real time measurements? - ?Restrictive conditions

Classification code: 405.3 Surveying

Surveying

? - ?742.2 Photographic Equipment

Photographic Equipment

? - ?821.4 Agricultural Products

Agricultural Products

Numerical data indexing: Percentage 2.17e+00%, Size 2.83e-02m, Size 8.43e-01m

DOI: 10.6041/j.issn.1000-1298.2018.02.003

Compendex references: YES

Database: Compendex

4. Electric Tractor Energy System and Management Strategy Research Based on Load Power Spectral Density

Accession number: 20182405309228

Authors: Liu, Mengnan (1); Zhou, Zhili (2); Xu, Liyou (2, 3); Zhao, Jinghui (3); Meng, Tao (3)

Author affiliation: (1) School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an; 710048, China; (2) College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang; 471003, China; (3) YTO Group Corporation, Luoyang; 471039, China

Corresponding author: Zhou, Zhili(zzli@haust.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 358-366

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: When electric tractor working on heavy load model, such as plowing and rotary tillage, the peak power with high frequency of the working condition has more randomness. Energy systems of the electric tractor, which consists of single type of electric power source, e.g. batteries, may not effectively match the required power of dynamic load characteristic. Aimed at these problems, the electric tractor energy system and the management strategy were researched by the way based on the power spectral density of tractor load. By the analyses of electric drive train power flow, power spectral density of potential flow variables of tractor load and frequency characteristic in discharge process of common electric source, the feasibility of the way to separate the power flows with low frequency and high frequency via synergic electric power supply system was discussed. By mathematically building the constraint modelling of the endurance performance, power property, maximum using weight of tractor, steady and dynamic characteristic of load, the design method of energy systems with synergic electric power supply system in electric tractor was proposed. After that, the 18.5 kW electric tractor energy system which was assembled by the parallel connection between batteries and super capacitors via DC-DC converter was designed. For the elimination of peak power with high frequency of battery and the direction control of the super capacitor power flow, the double DC-DC converter control strategy based on logic control was generated. For the requirement of time-frequency analysis, the power distribution controller of the management strategy was designed by using two-channel filter bank with Haar wavelet. By constructing the mutual spectral density function between Gaussian white noise and working load of the tractor on plowing and rotary tillage, the load-time wave used in the simulation was established. The simulation ran on the platform that the simulation model of tractor plowing and rotary tillage unit built on AVL CRUISE dynamically combined with the management strategy simulation model on Matlab/Simulink. And it can be found that the management strategy based on power spectral density can limit the frequency of the power flow transiting electric power the batteries of synergic electric power supply system on the fundamental frequency of working load. Under the plowing condition, the frequency of battery electric power was cut off at 2 Hz. And under the rotary tillage condition, the frequency of battery electric power was cut off at 7 Hz. The amplitudes of electric power flow conformed to positive skew distribution. The remainder of required power was provided by super capacitance. And the amplitudes of remaining electric power flow accorded with standard normal distribution. The research proposed can offer theory reference and technology support to other researchers whose working field would be related to electric tractor and energy management. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 22

Main heading: Electric power distribution

Controlled terms: Agriculture? - ?DC-DC converters? - ?Dynamic loads? - ?Electric batteries? - ?Electric connectors? - ?Electric discharges? - ?Electric drives? - ?Electric inverters? - ?Electric load flow? - ?Electric power systems ? - ?Energy management? - ?Energy management systems? - ?MATLAB? - ?Normal distribution? - ?Power spectral density? - ?Spectral density? - ?Supercapacitor? - ?Tractors (agricultural)? - ?Tractors (truck)? - ?White noise

Uncontrolled terms: Electric power? - ?Electric tractors? - ?Frequency characteristic? - ?Load power? - ?Power distributions? - ?Standard normal distributions? - ?Synergic electric power supply? - ?Two-channel filter banks

Classification code: 408.1 Structural Design, General

Structural Design, General

? - ?525 Energy Management and Conversion

Energy Management and Conversion

? - ?663.1 Heavy Duty Motor Vehicles

Heavy Duty Motor Vehicles

? - ?701.1 Electricity: Basic Concepts and Phenomena

Electricity: Basic Concepts and Phenomena

? - ?702.1 Electric Batteries

Electric Batteries

? - ?704.1 Electric Components

Electric Components

? - ?706 Electric Transmission and Distribution

Electric Transmission and Distribution

? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control

Agricultural Equipment and Methods; Vegetation and Pest Control

? - ?921 Mathematics

Mathematics

? - ?922.1 Probability Theory

Probability Theory

Numerical data indexing: Frequency 2.00e+00Hz, Frequency 7.00e+00Hz, Power 1.85e+04W

DOI: 10.6041/j.issn.1000-1298.2018.02.047

Compendex references: YES

Database: Compendex

5. Reconstruction Method of Tree Geometric Structures from Point Clouds Based on Angle-constrained Space Colonization Algorithm

Accession number: 20182405309208

Authors: Shi, Yi (1); He, Peng (2); Hu, Shaojun (2); Zhang, Zhiyi (2); Geng, Nan (2); He, Dongjian (1)

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

Corresponding author: Geng, Nan(nangeng@nwsuaf.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 207-216

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Laser point cloud data contain detailed and high precision information, which is widely applied to forest evolution and plant reconstruction. In order to improve the accuracy and photorealistic in tree 3D reconstruction, a 3D reconstruction method based on point cloud was proposed. Firstly, the Kinect 2.0 was used for acquiring double face point cloud data of tree, and there were four plastic balls which were artificial markers near the tree. In the process of registration, artificial marker method and iterative closest point (ICP) algorithm were combined to merge point cloud data together accurately. Then, the complete point cloud data of tree can be obtained. Secondly, the improved space colonization algorithm was used with growth angle constraint to generate the 3D skeleton of tree, and then thickness of tree was estimated according to pipeline model, and the trunk was generated by generalized cylinder. Finally, leaves which were modeled based on point cloud data were added to branches according to phyllotaxis. Reconstruction experiment was performed by using magnolia, maple and limit tree data, which was provided by Visual Computing Research Center of Shenzhen Institutes of Advanced Technology (VCC). The reconstruction results showed that the proposed method can simulate 3D morphological structure of tree realistically and it showed the topological structure of trees well. Reconstructed tree models were plausible to the real-world trees and reconstruction error was less than 6.5%. Meanwhile, the proposed algorithm could be applied to the researches of three-dimensional modeling of virtual trees, virtual pruning experiment and tree topological structure analysis. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 31

Main heading: Three dimensional computer graphics

Controlled terms: Image reconstruction? - ?Iterative methods? - ?Plants (botany)? - ?Topology

Uncontrolled terms: 3D reconstruction? - ?Growth angles? - ?Kinect 2.0? - ?Point cloud? - ?Space colonization? - ?Tree

Classification code: 723.2 Data Processing and Image Processing

Data Processing and Image Processing

? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory

Combinatorial Mathematics, Includes Graph Theory, Set Theory

? - ?921.6 Numerical Methods

Numerical Methods

Numerical data indexing: Percentage 6.50e+00%

DOI: 10.6041/j.issn.1000-1298.2018.02.027

Compendex references: YES

Database: Compendex

6. Nonsingular Fast Terminal Sliding Mode Control of Robotic Manipulators Based on Neural Networks

Accession number: 20182405309064

Authors: Wu, Aiguo (1); Liu, Haiting (1); Dong, Na (1)

Author affiliation: (1) School of Electrical and Information Engineering, Tianjin University, Tianjin; 300072, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 395-404 and 240

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: A nonsingular fast terminal sliding mode adaptive controller based on RBF neural network was proposed for trajectory tracking control of multi degree of freedom manipulator with slow convergence speed and low tracking precision. Firstly, the nonsingular fast terminal sliding mode hypersurface was adopted in the control scheme and the continuous terminal attractor was introduced into the switch control, which made the system converge to the equilibrium point in a finite time. Secondly, the adaptive RBF neural network was used to approximate the unknown nonlinear dynamics of the system, the adaptive compensation mechanism of approximation error and adaptive law of weights of neural networks were designed to realize the model free control. The global asymptotic stability and finite time convergence of the closed-loop system were proved by Lyapunov theory. Finally, the control method was applied to Denso serial manipulator for experimental verification, the effect of transmission delay on the experimental results was analyzed and the solution was proposed. The simulation and experimental results demonstrated that the proposed control method can improve the convergence speed and the tracking accuracy of the system effectively, and enhance the robustness of the external disturbance. At the same time, it can weaken the chattering of the system and enhance the real-time control. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 19

Main heading: Adaptive control systems

Controlled terms: Asymptotic stability? - ?Closed loop control systems? - ?Closed loop systems? - ?Degrees of freedom (mechanics)? - ?Error compensation? - ?Flexible manipulators? - ?Neural networks? - ?Radial basis function networks? - ?Real time control? - ?Robotics ? - ?Sliding mode control? - ?Ultrasonic devices

Uncontrolled terms: Experimental verification? - ?Fast terminal sliding mode controls? - ?Finite-time convergence? - ?Global asymptotic stability? - ?Robotic manipulators? - ?Terminal sliding mode? - ?Trajectory tracking? - ?Trajectory tracking control

Classification code: 731 Automatic Control Principles and Applications

Automatic Control Principles and Applications

? - ?753.2 Ultrasonic Devices

Ultrasonic Devices

? - ?931.1 Mechanics

Mechanics

? - ?961 Systems Science

Systems Science

DOI: 10.6041/j.issn.1000-1298.2018.02.051

Compendex references: YES

Database: Compendex

7. Numerical Simulation and Experiment on Free-surface Air-entraining Vortices in Pump Sump

Accession number: 20182405309197

Authors: Wu, Pengfei (1); Guo, Zhiwei (1); Qian, Zhongdong (1); Wang, Zhiyuan (1); Chen, Fang (1)

Author affiliation: (1) State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan; 430072, China

Corresponding author: Qian, Zhongdong(zdqian@whu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 120-125

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to suppress the free-surface air-entraining vortex in pump sumps, the three-dimensional unsteady vortex flow in a pump sump was calculated by computational fluid dynamics (CFD) method. The dynamic process of the free-surface air-entraining vortex was simulated. And an experimental model was conducted to verify the CFD method. In this experimental model, a circular plate device was placed between the free surface and the inlet of the bell-mouth to suppress the air entrainment. Furthermore, a parameter called helicity density was adopted to reveal the mechanism of air-entrainment and its suppression. The results showed that the numerical method used in this study can predict the dynamic process of air-entrainment for the free-surface vortex accurately. The helicity density played a very important role in the formation of air entrainment. When the dimple appeared on the free surface, a helicity density tube was formed around the inlet of the bell-mouth. As air entered into water, the other helicity density tube was formed under the free surface. When the two helicity density tubes were connected with each other, the air-core from the free-surface to the inlet of the bell-mouth was formed. This meant that the mechanism of air-entrainment for the free-surface vortex was the connection of the helicity density tubes which provided a passage for air to pass through. Moreover, the circular plate with enough dimension can successfully suppress the air-entrainment through cutting off the helicity density tubes. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 21

Main heading: Air entrainment

Controlled terms: Air? - ?Bells? - ?Computational fluid dynamics? - ?Computer simulation? - ?Numerical methods? - ?Numerical models? - ?Sump pumps? - ?Tubes (components)? - ?Vortex flow

Uncontrolled terms: Circular plates? - ?Computational fluid dynamics methods? - ?Dynamic process? - ?Experimental modeling? - ?Free surfaces? - ?Free-surface vortices? - ?Pump sump? - ?Unsteady vortex flows

Classification code: 618.2 Pumps

Pumps

? - ?619.1 Pipe, Piping and Pipelines

Pipe, Piping and Pipelines

? - ?631.1 Fluid Flow, General

Fluid Flow, General

? - ?723.5 Computer Applications

Computer Applications

? - ?752.1 Acoustic Devices

Acoustic Devices

? - ?802.3 Chemical Operations

Chemical Operations

? - ?804 Chemical Products Generally

Chemical Products Generally

? - ?921 Mathematics

Mathematics

? - ?921.6 Numerical Methods

Numerical Methods

DOI: 10.6041/j.issn.1000-1298.2018.02.016

Compendex references: YES

Database: Compendex

8. Discrimination and Diagnosis of Copper and Lead Heavy Metal Pollution Elements and Their Pollution Degrees Based on High-order Spectral Method

Accession number: 20182405309206

Authors: Yang, Keming (1); Wang, Xiaofeng (1); Zhang, Wei (1); Cheng, Long (1); Sun, Tongtong (1)

Author affiliation: (1) College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing; 100083, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 191-198

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: It has always been a hot topic on using hyperspectral data to analyze in-depth crop heavy metal pollution. Some methods were put forward for qualitatively analyzing copper ion (Cu2+) and lead ion (Pb2+) pollution, discriminating the kinds of pollution elements and diagnosing their pollution degrees combined with the feature extraction methods of the higher-order spectral estimation and the gray gradient co-occurrence matrix (GGCM) based on derivative spectral data of the corn leaves stressed by different Cu2+and Pb2+concentrations. Firstly, the spectral data of the corn leaves were collected and the Cu2+, Pb2+contents in the leaves were measured, which the potted corns were cultivated and stressed by different Cu2+or Pb2+concentrations. Then, the bisp_rts and bisp_qs matrixes and their bi-spectral 3D graphs were obtained by the bi-spectral estimation (BSE) of differential spectral data sequences of various corn leaves that the BSE was carried out by using the ARMA model parameter method of higher order spectral estimation, so that a corn leaf was analyzed visually and qualitatively to have been polluted or not by Cu2+and Pb2+, and the kind of the pollution element could be discriminated to be Cu2+or Pb2+. Finally, the GGCMs were constructed which were corresponded to the bisp_rts or bisp_qs matrixes, the Cu2+and Pb2+pollution degrees of corn leaves could be diagnosed by extracting the texture parameter eigenvalues of each GGCM. The experimental results showed that it can not only qualitatively analyze whether the old (O), middle (M) and new (N) leaves of corn were polluted by Cu2+and Pb2+, but also correctly discriminate the O and M leaves were polluted by which one of the tow element based on the higher-order spectral estimation; the un-uniformities of gray distribution (T1) and energy (T2) eigenvalues of the bisp_rts matrix could reflect the changes of Pb2+content in O and M leaves, so the T1and T2might well diagnose the pollution degree of Pb2+in O and M leaves, and the small gradient advantage (T3) eigenvalue of the bisp_qs matrix could reflect the changes of Cu2+content in O and M leaves, so the T3might well diagnose the pollution degree of Cu2+in O and M leaves. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Pollution

Controlled terms: Copper? - ?Crops? - ?Data visualization? - ?Eigenvalues and eigenfunctions? - ?Heavy metals? - ?Matrix algebra? - ?Metal analysis? - ?Metal ions? - ?Spectrum analysis

Uncontrolled terms: Gray gradient co-occurrence matrixes? - ?Heavy metal pollution? - ?Pollution degree? - ?Pollution elements? - ?Spectral Estimation

Classification code: 531 Metallurgy and Metallography

Metallurgy and Metallography

? - ?531.1 Metallurgy

Metallurgy

? - ?544.1 Copper

Copper

? - ?723.2 Data Processing and Image Processing

Data Processing and Image Processing

? - ?821.4 Agricultural Products

Agricultural Products

? - ?921.1 Algebra

Algebra

DOI: 10.6041/j.issn.1000-1298.2018.02.025

Compendex references: YES

Database: Compendex

9. Influence of Different Resolutions Data on Regional Simulation of Crop Model

Accession number: 20182405309212

Authors: He, Liang (1); Hou, Yingyu (1); Yu, Qiang (2, 3); Jin, Ning (2)

Author affiliation: (1) National Meteorological Center, Beijing; 100081, China; (2) State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling; Shaanxi; 712100, China; (3) School of Life Sciences, University of Technology Sydney, Sydney; NSW; 2007, Australia

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 241-251

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Crop model is constructed on the field scale. There are simulated errors due to the up-scaling when it is applied from filed scale to larger scale. Regional applications of crop model are becoming universal methodologies to explore the interactions between crop, climate and management in agriculture systems to provide policy and decision making for food production. A spatial resolution should be determined before using crop model to simulate yield in the regional scale. There is a dilemma in considering the spatial resolution. A high spatial resolution simulation needs more hardware resource and expensive computing cost while a coarse resolution simulation would result in loss of spatial detail of variability. Therefore, exploring the uncertainties of regional simulation of crop model due to different spatial resolutions is essential to application of crop model in large scale. A WOFOST regional simulation platform was constructed at different spatial resolutions to quantify the simulation errors by spatial resolution of model force data. Five spatial resolution meteorological data (5 km, 10 km, 25 km and 50 km) were interpolated by the thin plate smoothing spline method which was provided by the software ANUSPLIN. The corresponding resolution soil parameters were extracted from a fine resolution soil database by spatial aggregation. Spatial management and crop cultivar parameters were calculated from observed agro-meteorological sites and then extended to different resolutions by Thiessen polygon method. The simulated yields were compared at different resolutions and statistical yields, and it was found that the average value of anthesis, maturity date, total above ground production and yield at potential yield level and water limited level did not have significant difference. However, there were more extreme values in the high resolution. Each simulation of four resolutions can perform the spatial distribution of crop development. Compared with the regional statistical yields, simulated water limited yield at different resolutions contributed to the variation of statistical yields by 75.4%~85.4%. The correlation analysis between potential yield and water-limited yield and climate factor indicated that the irradiation in the growing stage contributed to 16.6%~29.6% of variability of potential yield, the precipitation in the growing stage contributed to 13.3%~17.8% of variability of water-limited yield. The data storage capacity and computing cost at high resolution, i.e. 5 km was a hundred times more than coarse resolution, i.e. 50 km. The results provided theoretical and scientific basis for regional application, especially for selecting suitable spatial resolution for regional simulation. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 49

Main heading: Climate models

Controlled terms: Crops? - ?Decision making? - ?Digital storage? - ?Image resolution? - ?Meteorology

Uncontrolled terms: Force data? - ?Regional simulation? - ?Spatial resolution? - ?Uncertainty? - ?WOFOST

Classification code: 443 Meteorology

Meteorology

? - ?722.1 Data Storage, Equipment and Techniques

Data Storage, Equipment and Techniques

? - ?821.4 Agricultural Products

Agricultural Products

? - ?912.2 Management

Management

? - ?921 Mathematics

Mathematics

Numerical data indexing: Size 1.00e+04m, Size 2.50e+04m, Size 5.00e+03m, Size 5.00e+04m

DOI: 10.6041/j.issn.1000-1298.2018.02.031

Compendex references: YES

Database: Compendex

10. Effects of Drip Fertigation on Winter Wheat Growth and Water Use in North China Plain

Accession number: 20182405309215

Authors: Bai, Shanshan (1, 2); Wan, Shuqin (1); Kang, Yaohu (1, 2)

Author affiliation: (1) Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing; 100101, China; (2) College of Resources and Environment, University of Chinese Academy of Sciences, Beijing; 100049, China

Corresponding author: Wan, Shuqin(wansq@igsnrr.ac.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 269-276

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the low efficiency of water and fertilizer in winter wheat which caused non-point source pollution in North China Plain, the objective of this experiment was to study the effects of drip fertigation on winter wheat growth, grain yield, water consumption, water use efficiency and nutrient distribution, and provide scientific basis and technical support for the application and extension of drip fertigation. Field experiments were conducted in 2013-2014, 2014-2015 and 2015-2016 three successive winter wheat growing seasons. Under drip fertigation, the fertilizer amount of fertigation was 70% of local fertilizer amount, and the soil matric potential at 0.2 m depth for winter wheat was controlled higher than -40 kPa. Results showed that under drip fertigation in winter wheat growing seasons in North China Plain, the average yield of winter wheat in 2013-2014, 2014-2015 and 2015-2016 was 7 120.5 kg/hm2, which was increased by 18.7%. The thousand kernel weight of winter wheat was increased by 4.3 g averagely. The average water consumption was 387.9 mm. Precipitation was the highest proportion of total water consumption, accounting for 52% in sowing to jointing stage, irrigation was the highest proportion (78%) in jointing to heading stage, while the soil water depletion was the highest (54%) in heading to harvest stage. In three winter wheat growing seasons, the percentage of different water sources in total water consumption showed that irrigation amount was the largest proportion (49%), the soil water consumption and precipitation accounted for 25% and 24%, the groundwater supplementary amount was the lowest, only 2%. Under drip fertigation, water use efficiency and irrigation water use efficiency for winter wheat was 1.8 kg/m3and 3.9 kg/m3, which were increased by 38% and 95%, respectively compared with surface irrigation. The nutrient mainly distributed in 0~40 cm layers with high nutrient efficiency and low nutrient leaching. In North China Plain, when the fertilizer amount of fertigation was 70% of local fertilizer amount with loss-control fertilizer as basal fertilizer and drip irrigation, the grain yield was increased by 18.7% with better spike grain number and thousand kernel weight. Meanwhile, drip irrigation can save water by 36% and save fertilizer by 30%, improve irrigation water use efficiency by 95% and increase water use efficiency by 38%. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 26

Main heading: Water pollution

Controlled terms: Crops? - ?Efficiency? - ?Fertilizers? - ?Grain (agricultural product)? - ?Grain growth? - ?Groundwater? - ?Industrial plants? - ?Nutrients? - ?Risk management? - ?Soil moisture ? - ?Subirrigation? - ?Water supply

Uncontrolled terms: Fertigations? - ?Irrigation water use efficiency? - ?Non-point source pollution? - ?Nutrient distributions? - ?Soil matric potential? - ?Water use? - ?Water use efficiency? - ?Winter wheat

Classification code: 444.2 Groundwater

Groundwater

? - ?446.1 Water Supply Systems

Water Supply Systems

? - ?453 Water Pollution

Water Pollution

? - ?483.1 Soils and Soil Mechanics

Soils and Soil Mechanics

? - ?804 Chemical Products Generally

Chemical Products Generally

? - ?821.3 Agricultural Methods

Agricultural Methods

? - ?821.4 Agricultural Products

Agricultural Products

? - ?913.1 Production Engineering

Production Engineering

? - ?933.1.2 Crystal Growth

Crystal Growth

Numerical data indexing: Mass 4.30e-03kg, Mass_Density 1.80e+00kg/m3, Mass_Density 3.90e+00kg/m3, Percentage 1.87e+01%, Percentage 2.00e+00%, Percentage 2.40e+01%, Percentage 2.50e+01%, Percentage 3.00e+01%, Percentage 3.60e+01%, Percentage 3.80e+01%, Percentage 4.90e+01%, Percentage 5.20e+01%, Percentage 5.40e+01%, Percentage 7.00e+01%, Percentage 7.80e+01%, Percentage 9.50e+01%, Pressure -4.00e+04Pa, Size 0.00e+00m to 4.00e-01m, Size 2.00e-01m, Size 3.88e-01m

DOI: 10.6041/j.issn.1000-1298.2018.02.034

Compendex references: YES

Database: Compendex

11. Navigation System for Inspection Robot Based on LiDAR

Accession number: 20182405309183

Authors: Ji, Yuhan (1); Li, Han (1); Zhang, Man (1); Wang, Qi (2); Jia, Jia (2); Wang, Ku (2)

Author affiliation: (1) Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing; 100083, China; (2) Beijing Xinghuitongwei Power Technology Co., Ltd., Beijing; 100083, China

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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 14-21

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The intelligent inspection robots can complete the inspection task efficiently and reliably, and reduce the labor intensity of staff. Accurate and stable navigation positioning is the basis for inspection tasks of inspection robots. A navigation system based on light detection and ranging (LiDAR) was developed to achieve mapping, path planning and navigation positioning of the robot in both indoor and outdoor environments. The navigation system was composed of remote monitoring platform and inspection robot. The remote monitoring platform can issue inspection tasks, monitor robot status, query and store detection data, while the inspection robot can conduct navigation and positioning autonomously, traverse detection point, complete data acquisition and other inspection tasks. The platform and inspection robot exchanged remote data through wireless network. To build the 2D environment map, the information from LiDAR and encoder was combined by using a robust Gmapping algorithm. Based on the information of the map and detection points, the branch-and-bound algorithm was applied to search the optimal inspection route in order to reduce inspection time and energy consumption. Adaptive Monte Carlo localization (AMCL) algorithm was used to estimate the position and posture of the robot. The navigation and positioning was achieved by combining the position, posture and the inspection route calculated previously. Robot driver control was completed based on classic PID algorithm with the input of lateral deviation and heading deviation. The robot was equipped with RGB camera and IR camera, and targets can be detected more efficiently using the fusion information of visible and infrared images. In order to verify the accuracy of the navigation system, the indoor navigation positioning experiment was carried out in this research. With the speed of 1 m/s, the mean absolute error (MAE) of the position and heading deviation was less than 5 cm and 1.1° and the standard deviation (SD) was less than 5 cm and 1.5°, which can meet the requirements of inspection navigation and positioning. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 27

Main heading: Indoor positioning systems

Controlled terms: Branch and bound method? - ?Cameras? - ?Data acquisition? - ?Energy utilization? - ?Infrared imaging? - ?Inspection? - ?Intelligent robots? - ?Motion planning? - ?Navigation? - ?Navigation systems ? - ?Optical radar? - ?Remote control? - ?Robot programming

Uncontrolled terms: Branch-and-bound algorithms? - ?Inspection robots? - ?Intelligent inspection? - ?Light detection and ranging? - ?Mean absolute error? - ?Monte Carlo localization? - ?Navigation and positioning? - ?Outdoor environment

Classification code: 525.3 Energy Utilization

Energy Utilization

? - ?716.2 Radar Systems and Equipment

Radar Systems and Equipment

? - ?723.1 Computer Programming

Computer Programming

? - ?723.2 Data Processing and Image Processing

Data Processing and Image Processing

? - ?731 Automatic Control Principles and Applications

Automatic Control Principles and Applications

? - ?742.2 Photographic Equipment

Photographic Equipment

? - ?746 Imaging Techniques

Imaging Techniques

? - ?921.5 Optimization Techniques

Optimization Techniques

Numerical data indexing: Size 5.00e-02m, Velocity 1.00e+00m/s

DOI: 10.6041/j.issn.1000-1298.2018.02.002

Compendex references: YES

Database: Compendex

12. Monitoring Method for UAV Image of Greenhouse and Plastic-mulched Landcover Based on Deep Learning

Accession number: 20182405309199

Authors: Sun, Yu (1); Han, Jingye (1); Chen, Zhibo (1); Shi, Mingchang (2); Fu, Hongping (1); Yang, Meng (1)

Author affiliation: (1) School of Information Science and Technology, Beijing Forestry University, Beijing; 100083, China; (2) School of Soil and Water Conservation, Beijing Forestry University, Beijing; 100083, China

Corresponding author: Chen, Zhibo(zhibo@bjfu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 133-140

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: With the development of precision agriculture, the demand on rapidly obtaining the area and geographical distribution of greenhouses, plastic-mulched landcover is increased. However, using the interpretation method for satellite remote sensing images to process unmanned aerial vehicle (UAV) images is not ideal, due to the complex feature extraction, low recognition accuracy, long processing time and so on. To circumvent this issue, a UAV aerial monitoring method was proposed based on deep learning for greenhouses and plastic-mulched landcover monitoring. The six-rotor UAV equipped with Sony NEX-5k camera captured aerial photographs in the Wangyefu town of Chifeng City. The 558 UAV images were orthographically corrected and stitched. The five fully convolutional network (FCN) variants, i.e. the FCN-32s, FCN-16s, FCN-8s, FCN-4s and FCN-2s models were built by multi-scale fusion. The modes were trained end-to-end by the stochastic gradient descent algorithm with momentum. The features were extracted and learned from the photographs automatically. The FCN models were compared with two economic softwares, i.e. the pixel-based classification method of ENVI and the object-oriented classification method of eCognition. The results showed that the FCN-4s was the best model on the identification of greenhouses and plastic-mulched landcover. The average overall accuracy of test area was 97%, while that of pixel-based classification method and the object-oriented classification method was 74.1% and 81.78%, respectively. The average runtime of the FCN-4s was 16.85 s, which was 0.06% and 5.62% of those of pixel-based classification method and the object-oriented classification method, respectively. The proposed method demonstrated high recognition accuracy and fast speed, which can meet the demand on UAV monitoring of facilities agriculture. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 23

Main heading: Deep learning

Controlled terms: Agriculture? - ?Antennas? - ?Convolution? - ?Geographical distribution? - ?Greenhouses? - ?Monitoring? - ?Photography? - ?Pixels? - ?Remote sensing? - ?Semantics ? - ?Stochastic systems? - ?Unmanned aerial vehicles (UAV)

Uncontrolled terms: Agricultural monitoring? - ?Convolutional networks? - ?Interpretation methods? - ?Object oriented classification? - ?Pixel based classifications? - ?Satellite remote sensing? - ?Semantic segmentation? - ?Stochastic gradient descent algorithm

Classification code: 405.3 Surveying

Surveying

? - ?652.1 Aircraft, General

Aircraft, General

? - ?716.1 Information Theory and Signal Processing

Information Theory and Signal Processing

? - ?746 Imaging Techniques

Imaging Techniques

? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control

Agricultural Equipment and Methods; Vegetation and Pest Control

? - ?821.6 Farm Buildings and Other Structures

Farm Buildings and Other Structures

? - ?961 Systems Science

Systems Science

Numerical data indexing: Percentage 5.62e+00%, Percentage 6.00e-02%, Percentage 7.41e+01%, Percentage 8.18e+01%, Percentage 9.70e+01%, Time 1.69e+01s

DOI: 10.6041/j.issn.1000-1298.2018.02.018

Compendex references: YES

Database: Compendex

13. Improved Cavitation Model Based on Rayleigh-Plesset Equation and Its Application

Accession number: 20182405309198

Authors: Hong, Feng (1, 2); Gao, Zhenjun (1, 2); Yuan, Jianping (3)

Author affiliation: (1) College of Mechanical and Power Engineering, China Three Gorges University, Yichang; 443002, China; (2) Hubei Key Laboratory of Hydroelectric Machinery Design and Maintenance, China Three Gorges University, Yichang; 443002, China; (3) National Research Center of Pumps, Jiangsu University, Zhenjiang; 212013, China

Corresponding author: Yuan, Jianping(yh@ujs.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 126-132

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: With the aim to enhance the capability of predicting cavitating flows for Schnerr-Sauer model, a developed cavitation model was proposed based on an improved spherical bubble dynamic model and the homogeneous flow assumption. In particular, the terms of the second derivative of bubble radius and surface tension were also considered in the simplified Rayleigh-Plesset equation to give more reliable physical model for bubble shrink and growth. Unsteady and turbulent cavitating flows over a two-dimensional Clark-Y hydrofoil were calculated by using the proposed model and Schnerr-Sauer model in which a modified filter-based model was adopted for the turbulence modeling. The cavity shape evolution and the characteristics of hydrodynamic coefficient at different cavitation numbers were obtained from simulations. Comparing with available experimental data in the literature, for quasi-static sheet cavitation, the length of the sheet cavity as predicted by the proposed model almost remained unchanged and noticeable vapor-liquid interface was captured at the rear of the sheet cavity as well, which agreed better with the experiment description. For the periodic cloud cavitation, the cavitation area predicted by the proposed model was larger than that of the Schnerr-Sauer model, which was induced by the non-condensable gas and turbulence fluctuation considered in the proposed model. Moreover, the transient lift coefficient predicted by the proposed model agreed better with the experimental data and the proposed model had better capability than the Schnerr-Sauer model to predict some detailed features of the cyclic cavity evolutions in cloud cavitation. The overall results proved the reliability and accuracy of the improved cavitation model in cavitating flow simulations over a hydrofoil. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 21

Main heading: Cavitation

Controlled terms: Computer simulation? - ?Hydrofoils? - ?Phase interfaces? - ?Turbulence

Uncontrolled terms: Cavitating flow simulations? - ?Cavitation model? - ?Hydrodynamic coefficients? - ?Non-condensable gas? - ?Rayleigh-Plesset equation? - ?Spherical bubble dynamics? - ?Turbulence fluctuations? - ?Vapor-liquid interfaces

Classification code: 631.1.1 Liquid Dynamics

Liquid Dynamics

? - ?723.5 Computer Applications

Computer Applications

? - ?801.4 Physical Chemistry

Physical Chemistry

DOI: 10.6041/j.issn.1000-1298.2018.02.017

Compendex references: YES

Database: Compendex

14. Design and Experiment of Fitting Curve Subsoiler of Conservation Tillage

Accession number: 20182405309192

Authors: Zhao, Shuhong (1); Wang, Jiayi (1); Chen, Junzhi (1); Yang, Yueqian (1); Tan, Hewen (1)

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

Corresponding author: Yang, Yueqian(yangyueqian@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 82-92

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: A fitting curve subsoiler was designed aiming at the problems of large soil disturbance and large tillage resistance caused by subsoiler in sub-soiling site preparation work in Northeast China. The discrete element (EDEM) software was used to simulate the movement of the tip of a subsoiler in the soil. Through calculating, the fitting curve and fitting equation were obtained from the trajectory of soil particles above the tip of shovel. After summarizing, the method of line element design was used to optimize the alignment to acquire the curve of shovel handle shape, meanwhile, to design the edge, lip and penetration angle were cut. Then the interaction effect test of shovel handle and shovel tip were used to prove the feasibility and rationality of the design. The contrast test of soil trough showed a fitting curve subsoiler can effectively reduce the soil disturbance and tillage resistance. Compared with polygonal subsoiler, the fitting curve subsoiler made the soil disturbance reduced by 53.6%, tillage resistance reduced by 36.23%. Compared with circular subsoiler, it made the soil disturbance reduced by 66.18% and the tillage resistance reduced by 29.18%. Compared the fitting curve subsoiler with the polygonal subsoiler with field experiment, it was showed that using the fitting curve subsoiler made the soil return area increased by 81.03%. Compared with circular subsoiler, the fitting curve subsoiler made the soil return area increased by 146.95%. Both the soil trough experiment and the field experiment verified that the fitting curve subsoiler can make the soil disturbance smaller and tillage resistance smaller, which met the requirements of sub-soiling operation. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 31

Main heading: Curve fitting

Controlled terms: Agricultural machinery? - ?Cultivation? - ?Finite difference method? - ?Shovels? - ?Soil conservation? - ?Soil surveys? - ?Soils

Uncontrolled terms: Conservation tillage? - ?Field experiment? - ?Fitting curves? - ?Fitting equations? - ?Interaction effect? - ?Site preparation? - ?Soil disturbances? - ?Subsoiler

Classification code: 483.1 Soils and Soil Mechanics

Soils and Soil Mechanics

? - ?821.1 Agricultural Machinery and Equipment

Agricultural Machinery and Equipment

? - ?821.3 Agricultural Methods

Agricultural Methods

? - ?921.6 Numerical Methods

Numerical Methods

Numerical data indexing: Percentage 1.47e+02%, Percentage 2.92e+01%, Percentage 3.62e+01%, Percentage 5.36e+01%, Percentage 6.62e+01%, Percentage 8.10e+01%

DOI: 10.6041/j.issn.1000-1298.2018.02.011

Compendex references: YES

Database: Compendex

15. Sensor Fault Identification in Greenhouse Environment Based on Comparison of Spatial-temporal Information

Accession number: 20182405309222

Authors: Wang, Jizhang (1); He, Tong (1); Zhou, Jinsheng (1); Zhao, Liwei (2); Wang, Jianping (1); Li, Pingping (1, 3)

Author affiliation: (1) Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, Jiangsu University, Zhenjiang; 212013, China; (2) Chinese Academy of Agricultural Mechanization Sciences, Beijing; 100083, China; (3) College of Forest Resources and Environment, Nanjing Forestry University, Nanjing; 210037, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 319-326

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to judge the accuracy of sensor data in greenhouse environment measurement and control system, a sensor fault identification method was proposed based on the comparison of node information. This method based on the principal component analysis (PCA) was to achieve the sensor system fault detection through the monitoring statistics T2and SPE changes. When the system detected the fault, the different sensor fault identification by using the comparison of node information based on temporal and spatial characteristics were realized, and to compare the effects with different methods, node information was made a comparison based on temporal scale, spatial scale and temporal-spatial scale, for multi-sensor fault identification. Verification results showed that the sensor fault detection method based on PCA can effectively realize the preliminary detection of the sensor system, and the sensor fault identification method based on the comparison of node information took the time and spatial scale into consideration, which can effectively achieve the specific fault sensor positioning. The value of the sensor nodes fault data average CDRwas 98.37%, and the average FARwas 1.72%. Compared with the traditional method for sensor fault identification, the CDRincreased by 22.067 percentage points and the FARreduced by 15.762 percentage points, and it was found that the fault recognition method mentioned can effectively guarantee the efficiency of fault diagnosis improve the accuracy of fault diagnosis, and reduce the false alarm rate with reliability and accuracy. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 34

Main heading: Fault detection

Controlled terms: Clock and data recovery circuits (CDR circuits)? - ?Failure analysis? - ?Greenhouses? - ?Principal component analysis? - ?Sensor nodes? - ?Sensors

Uncontrolled terms: Fault identifications? - ?Greenhouse environment? - ?Measurement and control systems? - ?Node information? - ?Sensor fault detection? - ?Spatial-temporal characteristics? - ?Temporal and spatial? - ?Verification results

Classification code: 703.1 Electric Networks

Electric Networks

? - ?722 Computer Systems and Equipment

Computer Systems and Equipment

? - ?821.6 Farm Buildings and Other Structures

Farm Buildings and Other Structures

? - ?922.2 Mathematical Statistics

Mathematical Statistics

Numerical data indexing: Percentage 1.72e+00%, Percentage 9.84e+01%

DOI: 10.6041/j.issn.1000-1298.2018.02.041

Compendex references: YES

Database: Compendex

16. Research on Multiple Purification Device Design and Performance of Biomass Boiler Flue Gas

Accession number: 20182405309221

Authors: Wang, Yi (1, 2); Du, Jinyu (3); Zhang, Quanguo (2); Jing, Yanyan (2); Zhao, Weili (2); Chang, Jianmin (1)

Author affiliation: (1) College of Materials Science and Technology, Beijing Forestry University, Beijing; 100083, China; (2) Key Laboratory of New Materials and Facilities for Rural Renewable Energy of China’s Ministry of Agriculture, Henan Agricultural University, Zhengzhou; 450002, China; (3) Department of Food Engineering, Henan University of Animal Husbandry and Economy, Zhengzhou; 450011, China

Corresponding author: Chang, Jianmin(cjianmin168@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 313-318

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Boiler flue gas has become an important source of atmospheric pollution, biomass fuel boiler was applied widely. However, the biomass boiler flue gas purification technology and equipment was shortage. In order to further reduce the pollution of biomass flue gas emissions, a multiple flue gas purification device with dust removal, desulphurization and waste heat utilization was developed. Flue gas dust removal using cyclone separation and atomized spray method, flue gas desulfurization using alkaline water washing and atomized spray desulphurization, waste heat utilization using high, low pressure multistage flue gas heat transfer utilization. The structure design, system calculation and running performance of this biomass flue gas purification device were also studied. The study showed that the flue gas purification device showed a stable operation characteristic and high purification efficiency, which gas temperature, SO2content, dust content, SO2removal rate, dust removal rate and other operating parameters were stable during the continuous operation. The result showed that the outlet gas temperature was (62 ± 3), SO2concentration 4.2 mg/m3, and dust content of 4.6 mg/m3. The mean SO2and dust removal rate add up to 70.6% and 90.57% respectively. The multiple flue gas purification device had good operating stability and high dust removal, desulfurization efficiency. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 23

Main heading: Gas fuel purification

Controlled terms: Air pollution? - ?Air purification? - ?Biomass? - ?Boilers? - ?Desulfurization? - ?Dust control? - ?Efficiency? - ?Flue gases? - ?Flues? - ?Gas emissions ? - ?Heat transfer? - ?Waste heat? - ?Waste heat utilization

Uncontrolled terms: Atmospheric pollution? - ?Biomass boiler? - ?Continuous operation? - ?Desulfurization efficiency? - ?Dust removal? - ?Flue gas desulfurization? - ?Purification efficiency? - ?Technology and equipments

Classification code: 451 Air Pollution

Air Pollution

? - ?522 Gas Fuels

Gas Fuels

? - ?525.3 Energy Utilization

Energy Utilization

? - ?525.4 Energy Losses (industrial and residential)

Energy Losses (industrial and residential)

? - ?614 Steam Power Plants

Steam Power Plants

? - ?641.2 Heat Transfer

Heat Transfer

? - ?913.1 Production Engineering

Production Engineering

Numerical data indexing: Mass_Density 4.20e-06kg/m3, Mass_Density 4.60e-06kg/m3, Percentage 7.06e+01%, Percentage 9.06e+01%

DOI: 10.6041/j.issn.1000-1298.2018.02.040

Compendex references: YES

Database: Compendex

17. Visualization Spatial Assessment of Potato Dry Matter

Accession number: 20182405309225

Authors: Xu, Yingchao (1); Wang, Xiangyou (1); Yin, Xiang (1); Hu, Zhouxun (1); Yue, Rencai (1)

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

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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 339-344 and 357

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to visualize the spatial distribution of potato dry matter, the internal dry matter content of potato was studied by using visible/near-infrared hyperspectral imaging (HSI) and a detection model of dry matter of potato was established. The reflectance spectra of sliced potatoes which were extracted from the regions of interest of HIS were performed with different pretreatments. The standard normal variable (SNV) combined with Savitzky-Golay smoothing (SG) and the first derivative (SNV-SG-FD) was the optimal pretreatment. Based on optimal pretreatment, competitive adaptive reweighted sampling (CARS) combined with successive projections algorithm (SPA) was used to select variables of the spectrum and obtained 22 variables. Three regression models based on principal component regression (PCR), support vector regression (SVMR) and partial least squares regression (PLSR) were established. The best performance was achieved by PLSR model, its determination coefficient (RP2), root mean square error for prediction and relative percent difference were 0.849, 0.878% and 2.312, respectively. The PLSR model based on 22 variables was superior to the full-spectrum model. An imaging processing algorithm was developed to transfer each pixel in potato dry matter content with the SNV-SG-FD-CARS-SPA-PLSR model. The imaging showed the distribution of dry matter within the potatoes. It showed that the potato dry matter was mainly distributed between the inner pith and vascular bundle and the inner pith had the lowest dry matter content. It was gradually increased from the inner pulp to the outer. Dry matter content was 12.16% in inner pith and the outer layer reached up to 24.62%. The results show that the visible near infrared hyperspectral imaging is a useful tool for rapidly and effectively visualizing detecting spatial distribution of potato dry matter. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Spatial distribution

Controlled terms: Coherent scattering? - ?Finite difference method? - ?Flow visualization? - ?Hyperspectral imaging? - ?Infrared devices? - ?Least squares approximations? - ?Mean square error? - ?Principal component analysis? - ?Regression analysis? - ?Spectroscopy ? - ?Visualization

Uncontrolled terms: Dry matters? - ?Hyper spectra? - ?Hyperspectral imaging (HSI)? - ?Partial least squares regressions (PLSR)? - ?Potato? - ?Principal component regression? - ?Successive projections algorithms (SPA)? - ?Support vector regression (SVR)

Classification code: 631.1 Fluid Flow, General

Fluid Flow, General

? - ?711 Electromagnetic Waves

Electromagnetic Waves

? - ?921 Mathematics

Mathematics

? - ?921.6 Numerical Methods

Numerical Methods

? - ?922.2 Mathematical Statistics

Mathematical Statistics

Numerical data indexing: Percentage 1.22e+01%, Percentage 2.46e+01%, Percentage 8.78e-01%

DOI: 10.6041/j.issn.1000-1298.2018.02.044

Compendex references: YES

Database: Compendex

18. 3D Path Planning Approach Based on Gravitational Search Algorithm for Sprayer UAV

Accession number: 20182405309185

Authors: Wang, Yu (1); Chen, Haitao (1); Li, Haichuan (1)

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

Corresponding author: Chen, Haitao(CHT_neau@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 28-33 and 21

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to improve the field efficiency and reduce the operation cost, a research was conducted on the path planning method for the sprayer UAV in the field with 3D terrain. Firstly, aiming at building a 3D environment model, the grid method was selected to divide the field into small grids with the initialized properties. Secondly, the UAV was ordered to move from the current grid to the adjacent one with the highest probability. And therefore a coverage path which moved from one extreme of the field to the other in direction parallel to the crop rows alternately and turned at the boundary was identified. Thirdly, a mathematical model was established, of which the objective was to obtain the optimal return points with the minimum time in the non-spraying mode. Once the gravitational search algorithm was applied to solve the model, the planned path with return points would be outputted automatically by the proposed method. Furthermore, the proposed method was compared with the method for 2D terrain in a 700 m×100 m field, of which the result showed that there was deviation between the positions of the return points calculated by the different methods. And the same field was taken to test the performance of the proposed method, in which the proposed method was compared with simple path plan method and unplanned path respectively. Results showed that the advantages of the proposed method at the distance of the round trips was reduced by 23% and 90%, while the non-spraying time was reduced by 7% and 54%, respectively. After that, the proposed method was applied to a real field with 3D terrain. And the distance of the round trips and the non-spraying time were reduced by 11% and 5%, respectively in the experiment. Finally, the research result indicated that the proposed method was a reasonable, feasible and useful alternative to produce paths with less time for the sprayer UAV. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 20

Main heading: Motion planning

Controlled terms: Landforms? - ?Learning algorithms? - ?Unmanned aerial vehicles (UAV)

Uncontrolled terms: 3-D environments? - ?3-d terrains? - ?3D path planning? - ?Field efficiency? - ?Gravitational search algorithms? - ?Grid methods? - ?Path planning method? - ?Research results

Classification code: 481.1 Geology

Geology

? - ?652.1 Aircraft, General

Aircraft, General

Numerical data indexing: Percentage 1.10e+01%, Percentage 2.30e+01%, Percentage 5.00e+00%, Percentage 5.40e+01%, Percentage 7.00e+00%, Percentage 9.00e+01%

DOI: 10.6041/j.issn.1000-1298.2018.02.004

Compendex references: YES

Database: Compendex

19. Spray Droplet Size Characteristics of Different Biological Pesticides with Different Hydraulic Nozzles

Accession number: 20182405309194

Authors: Xiao, Liping (1); Liu, Muhua (1); Zhu, Heping (2); Cai, Jinping (1); Lin, Jinlong (1); Ou, Mingxiong (3)

Author affiliation: (1) College of Engineering, Jiangxi Agricultural University, Nanchang; 330045, China; (2) USDA/ARS Application Technology Research Unit, Wooster; OH; 44691, United States; (3) Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, Jiangsu University, Zhenjiang; 212013, China

Corresponding author: Liu, Muhua(714874481@qq.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 100-106

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to study the effects of different biological pesticides samples on the droplet characteristics with different types and size hydraulic nozzles, a particle/droplet laser image analysis system and a portable spray pattern analyzing system were used to investigate the spray droplet characteristics of biological pesticides with hydraulic nozzles. Spray parameters included the spray droplet size distributions and spray pattern widths. Seven different spray samples (water and six types of biological pesticides manufactured by Bioworks Inc.) were tested with two Teejet flat fan nozzles (XR8004 and XR11004) and two Teejet hollow cone nozzles (TXA8002 and TXVK8004) under laboratory conditions. Droplet size distribution was evaluated at the same and different spray pressures separately and the same spray height. In addition, the spray pattern width was determined at the same spray pressure and the same spray height. The results showed that there was no significant difference between the droplet size of the liquid biological pesticide after mixing with water in a certain proportion and the droplet size of water, and the droplet size of the liquid biological pesticides was higher than that of the powdery biological pesticide mixture with water. The droplet size of biological pesticide sprayed was decreased as the spray pressure increase for the same nozzle; the droplet size distribution uniformity was decreased as the increase of the nozzle flow rate, and the larger the spray flow rate was, the more dispersed the particle size was. The spray pattern width was increased as the increase of the spray angle, and different biological pesticide samples had little effect on the spray pattern width. Therefore, proper selection of nozzle types, spray pressure and flow rate was necessary for discharging particular biological products to achieve optional spray application efficiency and effectiveness. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 24

Main heading: Spray nozzles

Controlled terms: Drops? - ?Nozzles? - ?Particle size? - ?Particle size analysis? - ?Pesticide effects? - ?Size distribution

Uncontrolled terms: Biological Products? - ?Droplet characteristics? - ?Droplet size distributions? - ?Hydraulic nozzles? - ?Laboratory conditions? - ?Pesticide mixture? - ?Spray droplet sizes? - ?Spray pattern

Classification code: 631.1 Fluid Flow, General

Fluid Flow, General

? - ?922.2 Mathematical Statistics

Mathematical Statistics

? - ?951 Materials Science

Materials Science

DOI: 10.6041/j.issn.1000-1298.2018.02.013

Compendex references: YES

Database: Compendex

20. Temporal and Spatial Variation of Grassland Dominant Ecosystem Services under Major Ecological Restoration in Northern Shaanxi Province

Accession number: 20182405309214

Authors: Ma, Qi (1); Liu, Kang (1); Li, Ting (2); Bao, Yubin (1); He, Chengmin (3)

Author affiliation: (1) College of Urban and Environmental Science, Northwest University, Xi’an; 710127, China; (2) State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing; 100085, China; (3) Hydrology and Water Resources Investigation Bureau of Shaanxi Province, Xi’an; 710068, China

Corresponding author: Liu, Kang(liuk63@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 260-268

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Based on the ecosystem classification and ecological parameter data, the structure and dominant services, including sediment retention and water supply, of grassland ecosystem in Northern Shaanxi Province from 2000 to 2010, which was a key period to the Grain to Green Program, were evaluated by using the integrated valuation of ecosystem services and tradeoffs (InVEST ) model. The impacts of human activities on the ecological construction of grassland area and its ecosystem service function were clarified. The results indicated that the area of grassland ecosystem in the loess gully region of Yan’an and Yulin Cities was increased significantly, especially in steppe and scrub-grass, which showed a greening trend of the low-cover vegetation to medium-cover vegetation. During the study periods, the function of sediment retention for each types of grassland was improved and the steppe was the major contributor for sediment retention, followed by scrub-grass and sparse grass. As to the water supply, each types of grassland exhibited the tendency of decreasing firstly and then increasing. The restoration of sparse grass in north of the Great Wall of Northern Shaanxi had great value to the construction of energy and chemical industry base, and the maintenance of urban ecological security as well as the sustainable development of farming and animal husbandry. The results provided scientific basis of the major ecological construction, the sustainable development of agriculture and animal husbandry in grassland ecosystem. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 31

Main heading: Ecosystems

Controlled terms: Agriculture? - ?Animals? - ?Chemical industry? - ?Planning? - ?Restoration? - ?Sediments? - ?Sustainable development? - ?Vegetation? - ?Water supply

Uncontrolled terms: Ecosystem services? - ?Grassland? - ?Northern shaanxi? - ?Sediment retention? - ?Vegetation coverage

Classification code: 446.1 Water Supply Systems

Water Supply Systems

? - ?454.3 Ecology and Ecosystems

Ecology and Ecosystems

? - ?483 Soil Mechanics and Foundations

Soil Mechanics and Foundations

? - ?805 Chemical Engineering, General

Chemical Engineering, General

? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control

Agricultural Equipment and Methods; Vegetation and Pest Control

? - ?912.2 Management

Management

DOI: 10.6041/j.issn.1000-1298.2018.02.033

Compendex references: YES

Database: Compendex

21. Experiment on Feed Rate and Cylinder Speed of Longitudinal Axial Flow Threshing and Separating Device for Maize

Accession number: 20182405309189

Authors: Qu, Zhe (1); Zhang, Dongxing (1, 2); Yang, Li (1); Zhang, Tianliang (1); Wang, Zhendong (1); Cui, Tao (1)

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

Corresponding author: Cui, Tao(cuitao850919@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 58-65

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In the process of maize grain direct harvest, the threshing cylinder speed should be matched with the feed rate of combine harvester, so that the best effect of the operation can be achieved. In order to obtain the optimal ranges of the threshing cylinder speed of maize combine harvester at different feed rates, a longitudinal axial flow maize threshing and separating device was designed and developed, whose components and parts can be changed easily. It was also convenient to adjust the structure parameters and working parameters. The threshing cylinder speed and the feed rate were selected as the influence factors, and the maize kernel damaged rate and un-threshed rate were selected as the performance indexes in the experiments. The test results showed that with the increase of threshing cylinder speed, the maize kernel damaged rate was increased and the un-threshed rate was decreased. At the same threshing cylinder speed, with the increase of the feed rate, the maize kernel damaged rate and the un-threshed rate were increased slightly. Through the bench tests, regression analysis and single variable solution, the optimal ranges of the cylinder speed at different feed rates of the threshing and separating device were determined. The optimal range of cylinder speed was 254~486 r/min at the feed rate of 8 kg/s. The optimal range of cylinder speed was 278~466 r/min at the feed rate of 10 kg/s. The optimal range of cylinder speed was 313~445 r/min at the feed rate of 12 kg/s. Under all the conditions above, the maize kernel damaged rate was less than 5%, and the un-threshed rate was less than 2%, which reached the requirements of the national standards. The research result of the threshing and separating device provided reference for design of maize grain harvester, and the research on adaptive model of the feed rate and threshing cylinder speed. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 19

Main heading: Speed

Controlled terms: Axial flow? - ?Cylinders (shapes)? - ?Grain (agricultural product)? - ?Harvesters? - ?Regression analysis

Uncontrolled terms: Adaptive modeling? - ?Combine harvesters? - ?Feed-rates? - ?Maize? - ?Performance indices? - ?Structure parameter? - ?Threshing and separating? - ?Working parameters

Classification code: 631.1 Fluid Flow, General

Fluid Flow, General

? - ?821.1 Agricultural Machinery and Equipment

Agricultural Machinery and Equipment

? - ?821.4 Agricultural Products

Agricultural Products

? - ?922.2 Mathematical Statistics

Mathematical Statistics

Numerical data indexing: Mass_Flow_Rate 1.00e+01kg/s, Mass_Flow_Rate 1.20e+01kg/s, Mass_Flow_Rate 8.00e+00kg/s, Percentage 2.00e+00%, Percentage 5.00e+00%, Rotational_Speed 2.54e+02RPM to 4.86e+02RPM, Rotational_Speed 2.78e+02RPM to 4.66e+02RPM, Rotational_Speed 3.13e+02RPM to 4.45e+02RPM

DOI: 10.6041/j.issn.1000-1298.2018.02.008

Compendex references: YES

Database: Compendex

22. Multi-scenario Simulation of Ecological Networks in Dengkou County

Accession number: 20182405309205

Authors: Yu, Qiang (1); Liu, Zhili (1); Yue, Depeng (1); Zhang, Qibin (1); Niu, Teng (1); Su, Kai (1)

Author affiliation: (1) Beijing Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing; 100083, China

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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 182-190

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Complex ecological network is a hotspot in the study of regional eco-environmental sustainability in recent years. The remote sensing image in 2016, DEM data and so on in Dengkou County were used as research material. The concept of ecological Coulomb force was proposed and based on the force-directed algorithm, a multi-scenario simulation model of ecological network was constructed. Furthermore, combining the minimum cumulative resistance surface model, totally 11 scenarios were set up to study the evolution of the present ecological network. The results were shown as follows: based on the current situation of ecological protection mode, the cumulative ecological resistance surface showed that the wolf mountain piedmont and the northeastern margin of the Ulan Buh Desert had great ecological resistance. In contrast, there were significantly more areas with large cumulative ecological resistance values under the economic development model. With (1.0, 0) to (0, 1.0) model conversion, ecological source grid patches gradually disappeared, the skeleton corridor was gradually broken. In the (0, 1.0) mode, the ecological network had been greatly destroyed. Under the present condition, large-scale land economic development would cause great damage to the ecological network. However, in the (0.9, 0.1) mode, although the destruction occurred on the edge of the desert, the ecological network inside the sample circle was expanded. Under the existing natural resources, there was still room for economic development in Dengkou County, but the space was limited. The multi-scenario simulation model proposed was suitable for the evolution analysis of ecological networks. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 24

Main heading: Ecology

Controlled terms: Economic and social effects? - ?Landforms? - ?Remote sensing? - ?Surface resistance? - ?Sustainable development

Uncontrolled terms: Coulomb forces? - ?Dengkou counties? - ?Ecological networks? - ?Force directed algorithms? - ?Multi scenarios

Classification code: 454.3 Ecology and Ecosystems

Ecology and Ecosystems

? - ?481.1 Geology

Geology

? - ?951 Materials Science

Materials Science

? - ?971 Social Sciences

Social Sciences

DOI: 10.6041/j.issn.1000-1298.2018.02.024

Compendex references: YES

Database: Compendex

23. Dynamic Solution for Spatial Rigid-flexible Parallel Robot

Accession number: 20182405309230

Authors: Liu, Liang (1); Zhao, Xinhua (1); Zhou, Haibo (1); Wang, Jiabin (1)

Author affiliation: (1) Tianjin Key Laboratory of Advanced Mechanical and Electrical System Design and Intelligent Control, Tianjin University of Technology, Tianjin; 300384, China

Corresponding author: Zhao, Xinhua(xinhuazhao@tjut.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 376-384

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the compatibility problem occurred during the iteration for the dynamics of a spatial rigid-flexible parallel robot, a nonlinear solution approach was proposed based on a transient kinematic correction method. The nonlinear forward and inverse dynamics of a spatial 3-RRRU parallel robot with flexible links were constructed based on both natural coordinate formulation (NCF) and absolute nodal coordinate formulation (ANCF). The derived models took into account the shear deformation and could describe large deformation for each beam. The transient kinematic correction methods were developed for the both dynamics based on NCF and kinematic model of the robot. The strategy for stable causal solution was also presented based on the aspects such as system energy of the dynamic system. The simulation results showed that the solution precision of inverse dynamics was 10-6and the compatible error of constraints was 10-8, which met the requirements for engineering applications and could effectively improve the overall convergent performance for the dynamic system. A trajectory tracking experiment was carried out based on a prescribed circular trajectory. Compared with the control strategy on rigid dynamic model, the maximum tracking error and roundness error based on the provided control strategy were decreased by 0.372 mm and 1.46 mm, respectively. The calculated principal strains of the typical points on the flexible links were at the same levels and variation trends as the measured strains on them. The validity of the developed method was thus verified. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 22

Main heading: Robots

Controlled terms: Dynamics? - ?Elastic deformation? - ?Errors? - ?Flexible manipulators? - ?Inverse problems? - ?Iterative methods? - ?Kinematics? - ?Numerical methods? - ?Precision engineering

Uncontrolled terms: Absolute nodal coordinate formulations (ANCF)? - ?Compatibility problems? - ?Engineering applications? - ?Forward and inverse dynamics? - ?Multi-body dynamic? - ?Natural coordinate formulations (NCF)? - ?Numerical integration methods? - ?Parallel robots

Classification code: 731.5 Robotics

Robotics

? - ?921.6 Numerical Methods

Numerical Methods

? - ?931.1 Mechanics

Mechanics

Numerical data indexing: Size 1.46e-03m, Size 3.72e-04m

DOI: 10.6041/j.issn.1000-1298.2018.02.049

Compendex references: YES

Database: Compendex

24. Establishment of Nitrogen Nutrition Diagnosis Model for Drip-irrigation Cotton Based on Critical Nitrogen Concentration

Accession number: 20182405309216

Authors: Ma, Lulu (1); Lü, Xin (2, 3); Zhang, Ze (2, 3); Ma, Gexin (2, 3); Hai, Xingyan (2, 3)

Author affiliation: (1) College of Life Sciences, Shihezi University, Shihezi; 832003, China; (2) College of Agriculture, Shihezi University, Shihezi; 832003, China; (3) The Key Laboratory of Oasis Ecology Agricultural, Xinjiang Production and Construction Group, Shihezi; 832003, China

Corresponding author: Zhang, Ze(zhangze1227@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 277-283

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: A critical nitrogen concentration in plant above-ground biomass, which is defined as the minimum nitrogen concentration required for maximum plant growth, can be found at any time in the growth cycle. To determine the critical nitrogen (N) concentration dilution curve with different nitrogen levels for drip-irrigation cotton in the Manas County of Xinjiang. Field experiments were carried out with cultivars of Xinluzao 45 and five nitrogen rates (0 kg/hm2, 120 kg/hm2, 240 kg/hm2, 360 kg/hm2, and 480 kg/hm2) were applied. Results showed that N concentration in above-ground biomass was declined with accumulated physiological development time after emergence. The relationship between the above-ground biomass and critical N concentration can be described by the power equation (Nc=3.91Wmax-0.24), with a=3.91 and b=0.24. The relationship between the correlation coefficient was 0.906. Through the root mean square error (RMSE) to verify this model, validation results showed that the model had a good simulation performance. Based on the critical N concentration model, the model of nitrogen nutrition index (NNI) was developed. According to the NNI under critical N concentrations, it was concluded that 240~360 kg/hm2could be used as the optimum N application rate of drip-irrigation cotton in Xinjiang. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 28

Main heading: Nitrogen fertilizers

Controlled terms: Biomass? - ?Cotton? - ?Ecology? - ?Irrigation? - ?Mean square error? - ?Nutrition

Uncontrolled terms: Above ground biomass? - ?Concentration model? - ?Correlation coefficient? - ?Drip irrigation? - ?Nitrogen concentrations? - ?Nitrogen nutrition? - ?Root mean square errors? - ?Simulation performance

Classification code: 454.3 Ecology and Ecosystems

Ecology and Ecosystems

? - ?461.7 Health Care

Health Care

? - ?804 Chemical Products Generally

Chemical Products Generally

? - ?821.3 Agricultural Methods

Agricultural Methods

? - ?821.4 Agricultural Products

Agricultural Products

? - ?922.2 Mathematical Statistics

Mathematical Statistics

DOI: 10.6041/j.issn.1000-1298.2018.02.035

Compendex references: YES

Database: Compendex

25. Mechanism of Response of Land Use Change to Water Cycle Process

Accession number: 20182405309213

Authors: Gong, Xinglong (1); Fu, Qiang (1); Wang, Bin (1); Guan, Yinghong (1); Xing, Zhenxiang (1); Li, Heng (1)

Author affiliation: (1) College of Water Conservancy and Architecture, Northeast Agricultural University, Harbin; 150030, China

Corresponding author: Fu, Qiang(fuqiangneau@sina.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 252-259

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Based on the farmland distribution maps of Naolihe River Basin in 1990 and 2013, the influences of paddy farmland and cultivation activity on temporal and spatial variation of water cycle process were analyzed quantitatively, combining with TOPMODEL model based on LBM method. Results showed that TOPMODEL model based on LBM method could simulate well the rainfall runoff process of Naolihe River Basin, and it had a high applicability on the investigated river basin. The area of forest land, grassland and construction land was not changed much, which contributed little to the change of land structure, while unused farmland and dry farmland were partly converted to paddy farmland, contributing obviously to the change of land structure. The presence of paddy farmland resulted in the increase of total evapotranspiration, decrease of the water deficit in root zone, decrease of water deficit in the unsaturated zone, decrease of surface water, and increase of underground water from May to October. Evapotranspiration was increased by 8.9%, water deficit in the root area was decreased by 10.5%, and surface water was decreased by 43%. Paddy farmland showed different effects on hydrological variables when rice was in different growth stages. It had great influence on evapotranspiration, water deficit in root zone and water deficit in unsaturated zone when rice was in tillering stage. The influence of paddy farmland irrigation on different water cycle processes was diminished in the sequence of SBAR, RZ, E, water quantity in inlet of root zone, water quantity in outlet of root zone, and RG, among which the differences of water quantity between irrigation and non-irrigation were almost the same for the inlet and outlet of root zone. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 20

Main heading: Farms

Controlled terms: Cultivation? - ?Evapotranspiration? - ?Forestry? - ?Groundwater? - ?Irrigation? - ?Land use? - ?Plants (botany)? - ?Rain? - ?Rivers? - ?Runoff ? - ?Watersheds

Uncontrolled terms: Different growth stages? - ?Hydrological variables? - ?Land-use change? - ?Rainfall-runoff process? - ?River basins? - ?Temporal and spatial variation? - ?TOPMODEL? - ?Water cycle

Classification code: 403 Urban and Regional Planning and Development

Urban and Regional Planning and Development

? - ?443.3 Precipitation

Precipitation

? - ?444.1 Surface Water

Surface Water

? - ?444.2 Groundwater

Groundwater

? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control

Agricultural Equipment and Methods; Vegetation and Pest Control

? - ?821.3 Agricultural Methods

Agricultural Methods

Numerical data indexing: Percentage 1.05e+01%, Percentage 4.30e+01%, Percentage 8.90e+00%

DOI: 10.6041/j.issn.1000-1298.2018.02.032

Compendex references: YES

Database: Compendex

26. Design and Experimental Optimization of 4CML-1000 Type Chain Rake Film Recycling Machine

Accession number: 20182405309190

Authors: Guo, Wensong (1, 2); Jian, Jianming (1); San, Yunlong (1); Li, Gang (1); Gao, Mingqing (1); Hou, Shulin (1)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) College of Mechanical and Electrical Engineering, Tarim University, Alar; 843300, China

Corresponding author: Hou, Shulin(hsl010@cau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 66-73

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Traditional rake mulching film recycling machine had the problem of difficulty in unloading and packing film, poor continuity of the work. In order to solve such problems, a kind of chain rake type mulching film recycling machine which can realize continuous raking film, collecting film, transporting film, shaking off soil and unloading film was designed. The recycling machine mainly composed of frame, membrane shovel, chain rake, collecting box and so on. In order to optimize the performance of the film recovery machine, first of all, the single factor test and response surface optimization experiment were carried out on structural parameters and working parameters in soil tank laboratory. Through experimental study in soil tank, the quadratic regression equation of mulching film recycling rate, unloading film rate and quality of the soil in the film were obtained. The optimal parameters were as follows: the spacing between rake teeth assembly was 300 mm, the number of rake tooth in single rake was 5, the depth of rake tooth inserting soil was 84.41 mm, film recycling machine forward speed was 2.542 km/h, and the speed of the chain rake was 0.417 m/s. Finally, through field experiments, the performance indicators of this type of mulching film recycling machine were as such: mulching film recycling rate was 90.2%, unloading film rate was 88.1%, and the entrained soil weight was 0.41 kg/m. Field experiments show that the chain rake type mulching film recycling machine can meet production requirements. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 20

Main heading: Recycling

Controlled terms: Chains? - ?Soils? - ?Structural design? - ?Tanks (containers)? - ?Unloading

Uncontrolled terms: Experimental optimization? - ?Optimal parameter? - ?Performance indicators? - ?Production requirements? - ?Quadratic regression? - ?Response surface optimization? - ?Structural parameter? - ?Working parameters

Classification code: 408.1 Structural Design, General

Structural Design, General

? - ?452.3 Industrial Wastes

Industrial Wastes

? - ?483.1 Soils and Soil Mechanics

Soils and Soil Mechanics

? - ?602.1 Mechanical Drives

Mechanical Drives

? - ?619.2 Tanks

Tanks

? - ?691.2 Materials Handling Methods

Materials Handling Methods

Numerical data indexing: Linear_Density 4.10e-01kg/m, Percentage 8.81e+01%, Percentage 9.02e+01%, Size 3.00e-01m, Size 8.44e-02m, Velocity 4.17e-01m/s, Velocity 7.06e-01m/s

DOI: 10.6041/j.issn.1000-1298.2018.02.009

Compendex references: YES

Database: Compendex

27. Design and Test of Metering Device with Forced Seeding and Opening for Corn Direct Seeding Machine

Accession number: 20182405309187

Authors: Shi, Linrong (1); Zhao, Wuyun (1); Yang, Xiaoping (1); Sun, Bugong (1); Sun, Wei (1)

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

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

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 41-47

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: On the base of corn insert plot hill-drop planter, in the light of sowing performance of passive duckbill opening is greatly affected by the fluctuation of ground level, a strong row-strong open metering device was designed, which is mainly composed of conjugate cam, strong platoon-strong open metering device. The sowing process of forward speed compensation device of corn insert plot hill-drop planter was analyzed to determine the key sowing time points. The displacement calculation of two kinds of movements of connecting rod and fetching seed wheel and opening forcibly of duckbill were carried out emphatically. According to the calculation results with reverse calculation method, the main cam profile of the conjugate cam was determined. A uniform rotation wheel can improve the rate of movement of the cam follower, and the motion law of cam follower was determined by calculation. And test results showed that transmission of forced sowing and forced opening for corn direct seeding machine was stable, which can complete picking and seeding corn, and duckbills when metering did not clip soil, and film hole was small, and there were no problem that duckbills pick film, tear film, etc. The hole rate of corn insert plot hill-drop planter was 1.8%, cavity and seed number of qualified rate was 95.3% and planting under film depth pass rate was 88.1%, thus the design of strong seeding corn-strong opening duckbill of insert plot hill-drop planter met the design requirements and agronomic techniques of corn planting. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 14

Main heading: Seed

Controlled terms: Cams? - ?Drops? - ?Wheels

Uncontrolled terms: Calculation results? - ?Corn? - ?Design and tests? - ?Direct-seeding? - ?Displacement calculation? - ?Insert plot hill-drop planter? - ?Metering devices? - ?Seed metering devices

Classification code: 601.2 Machine Components

Machine Components

? - ?601.3 Mechanisms

Mechanisms

? - ?821.4 Agricultural Products

Agricultural Products

Numerical data indexing: Percentage 1.80e+00%, Percentage 8.81e+01%, Percentage 9.53e+01%

DOI: 10.6041/j.issn.1000-1298.2018.02.006

Compendex references: YES

Database: Compendex

28. Simulative Calibration and Experiment on Main Contact Parameters of Discrete Elements for Rice Bud Seeds

Accession number: 20182405309193

Authors: Lu, Fangyuan (1); Ma, Xu (1); Tan, Suiyan (2); Chen, Lintao (1); Zeng, Lingchao (1); An, Pei (1)

Author affiliation: (1) College of Engineering, South China Agricultural University, Guangzhou; 510642, China; (2) College of Electronics Engineering, South China Agricultural University, Guangzhou; 510642, China

Corresponding author: Ma, Xu(maxu1959@scau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 93-99

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Rice bud seeds exhibit different physical properties from other crop seeds as high moisture content and large length difference of rice buds. Therefore, it is essential to calibrate the main discrete elements contact parameters of rice bud seeds with different moisture contents, and reduce the simulation system error that caused by inaccurate parameters of rice bud seeds. Three main contact parameters were calibrated, including coefficient of static friction between bud seeds and stainless plate (X1), coefficient of static friction between bud seeds (X2) and coefficient of rolling friction between bud seeds (X3), through experimental determination combined with simulation test of rice bud seeds friction angle. Two dynamic repose angles α and β and slipping friction angle γ were formed with three devices, and measured with the software In-Sight Explorer based on image processing technology. Then through discrete element simulation test of bud seeds frictions with EDEM, the ternary regression equation between the three coefficients X1, X2and X3and the three friction angles was established. The experimental results of the three frictions were the correction index, and the regression equation was numerically solved to obtain the three main content parameters. The verification test of the calibration parameters showed that the relative error between simulation and experiment results of the bud seeds friction angles with different moisture contents was less than 2.75%. So the discrete element model of rice bud seeds and the actual particle material reflected the same friction characteristics, and the regression model satisfied the calibration requirements for bud seeds parameters with different moisture contents. Furthermore, the relative error of the other variety rice bud seeds was less than 5.54%, which indicated that the calibrated discrete element model and contact parameters of the bud seeds can be applied to the dynamic simulation of the precision sowing device. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 29

Main heading: Tribology

Controlled terms: Calibration? - ?Errors? - ?Finite difference method? - ?Image processing? - ?Moisture? - ?Moisture determination? - ?Regression analysis? - ?Stiction

Uncontrolled terms: Coefficient of rolling frictions? - ?Contact parameters? - ?Different moisture contents? - ?Discrete element modeling? - ?Discrete element simulation? - ?Experimental determination? - ?Image processing technology? - ?Repose angles

Classification code: 921.6 Numerical Methods

Numerical Methods

? - ?922.2 Mathematical Statistics

Mathematical Statistics

? - ?931 Classical Physics; Quantum Theory; Relativity

Classical Physics; Quantum Theory; Relativity

? - ?944.2 Moisture Measurements

Moisture Measurements

Numerical data indexing: Percentage 2.75e+00%, Percentage 5.54e+00%

DOI: 10.6041/j.issn.1000-1298.2018.02.012

Compendex references: YES

Database: Compendex

29. Influence of Different Covers on Heat Spatial Distribution and Transfer Efficiency of Freezing-thawing Soil

Accession number: 20182405309218

Authors: Fu, Qiang (1); Ma, Ziao (1); Li, Tianxiao (1); Hou, Renjie (1)

Author affiliation: (1) School of Water Conservancy and Civil 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: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 292-298

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Soil mulch is one of the important agricultural measures, in order to inquiry the mechanism and characteristics of the mulching hindrance effect on heat exchange between atmosphere and soil. There were four treatments of bare land, natural snowfall mulching, 5 cm straw with natural snow fall mulching and 10 cm straw with natural snow mulching in winter field trial period (2016.11.1-2017.4.30), the total soil water content, liquid water content and temperature at the soil depths of 10 cm, 20 cm, 30 cm, 40 cm, 50 cm, 60 cm, 70 cm, 80 cm, 90 cm and 100 cm under the four treatments were determined, the heat capacity, phase change heat and heat quantity of freezing-thawing soil were calculated, and then the effects of different mulching treatments on heat spatial distribution and transfer efficiency in freezing-thawing soil were analyzed. The result showed that the depth of 30 cm soil heat exchange was accounted for relatively large, the heat quantity was accounted for up to 54.57%~81.17% in different trial periods. In the freezing period, the soil heat transfers of four treatments showed the heat dissipation overall trend, and in the thawing period, the soil heat transfers of four treatments showed the heat absorption overall trend. The effects of the natural snowfall mulching, straw mulching of 5 cm and 10 cm on the heat transfer rate were 17%, 8% and 17%, respectively. The time periods of no soil heat change were long with proportions of 29.17%, 39.41%, 43.33% and 50.88%, respectively under different treatments. The study had practical significance for the spring soil moisture conservation. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 19

Main heading: Soil surveys

Controlled terms: Efficiency? - ?Freezing? - ?Heat exchangers? - ?Heat transfer? - ?Heating? - ?Moisture control? - ?Snow? - ?Soil conservation? - ?Soil moisture? - ?Spatial distribution ? - ?Specific heat? - ?Thawing? - ?Water conservation

Uncontrolled terms: Different treatments? - ?Freezing-thawing? - ?Heat transfer rate? - ?Liquid water content? - ?Moisture conservation? - ?Mulching? - ?Soil water content? - ?Transfer efficiency

Classification code: 443.3 Precipitation

Precipitation

? - ?444 Water Resources

Water Resources

? - ?483.1 Soils and Soil Mechanics

Soils and Soil Mechanics

? - ?616.1 Heat Exchange Equipment and Components

Heat Exchange Equipment and Components

? - ?641.1 Thermodynamics

Thermodynamics

? - ?641.2 Heat Transfer

Heat Transfer

? - ?731.3 Specific Variables Control

Specific Variables Control

? - ?913.1 Production Engineering

Production Engineering

? - ?921 Mathematics

Mathematics

Numerical data indexing: Percentage 1.70e+01%, Percentage 2.92e+01%, Percentage 3.94e+01%, Percentage 4.33e+01%, Percentage 5.09e+01%, Percentage 8.00e+00%, Size 1.00e+00m, Size 1.00e-01m, Size 2.00e-01m, Size 3.00e-01m, Size 4.00e-01m, Size 5.00e-01m, Size 5.00e-02m, Size 6.00e-01m, Size 7.00e-01m, Size 8.00e-01m, Size 9.00e-01m

DOI: 10.6041/j.issn.1000-1298.2018.02.037

Compendex references: YES

Database: Compendex

30. Sub-pixel Snow Cover Fraction Algorithm Based on Multi-source Data in Black Soil Region of Songnen Plain

Accession number: 20182405309219

Authors: Wang, Zilong (1); Hu, Shitao (1); Fu, Qiang (1); Jiang, Qiuxiang (1); Yin, Yuming (1)

Author affiliation: (1) School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin; 150030, China

Corresponding author: Fu, Qiang(fuqiang0629@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 299-304

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Snow is a unique environmental factor in the seasonal snow-covered area. The snow parameter inversion using remote sensing data has great significance on the researches of regional soil moisture forecast, hydrology, climate, etc. The problem of great error exists in the binary classification method commonly used in snow retrieval research. According to the unique geographical environment and the surface type in the black soil region of Songnen Plain, the MODIS images were chosen as data source, and the OLI images were regarded as “true value”data. Then the linear regression relation model between snow cover fraction from MODIS and NDSI was established in black soil region of Songnen Plain. The results showed that the adaptability of the MOD10A1FSC data was weak in the study area. The FSC data was 80.21% which had a big difference compared with the snow cover fraction of OLI images (87.71%) at the same time phase. The correlation coefficient between the FSC data and OLI images was only 0.58. The snow cover fraction of the inversion model built in the study was 85.28% which was close to that of OLI images at the same time phase. The correlation coefficient between the snow cover fraction of the inversion model and OLI images was 0.66. In addition, compared with the MOD10A1FSC data, the error statistics results, including root mean square error and mean absolute error of the inversion model were decreased significantly. The estimation model of snow cover fraction based on sub-pixel improved the monitoring accuracy of snow cover in black soil region of Songnen Plain to a certain extent, which can better satisfy the reality requirement to the current snow retrieval research. The research result provided a scientific basis for the soil moisture forecast in spring and agricultural cultivation in this region. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Snow

Controlled terms: Cultivation? - ?Error statistics? - ?Errors? - ?Mean square error? - ?Pixels? - ?Radiometers? - ?Remote sensing? - ?Soil moisture

Uncontrolled terms: Agricultural cultivation? - ?Binary classification methods? - ?Geographical environment? - ?Multisource data? - ?NDSI? - ?Root mean square errors? - ?Snow covers? - ?Songnen plain

Classification code: 443.3 Precipitation

Precipitation

? - ?483.1 Soils and Soil Mechanics

Soils and Soil Mechanics

? - ?821.3 Agricultural Methods

Agricultural Methods

? - ?922.2 Mathematical Statistics

Mathematical Statistics

? - ?944.7 Radiation Measuring Instruments

Radiation Measuring Instruments

Numerical data indexing: Percentage 8.02e+01%, Percentage 8.53e+01%, Percentage 8.77e+01%

DOI: 10.6041/j.issn.1000-1298.2018.02.038

Compendex references: YES

Database: Compendex

31. Model-based Synchronous Control of Redundantly Actuated Parallel Manipulator with Neural Network

Accession number: 20182405309229

Authors: Liu, Xiaofei (1, 2); Yao, Jiantao (1, 2); Zhao, Yongsheng (1, 2)

Author affiliation: (1) Key Laboratory of Advanced Forging and Stamping Technology and Science, Ministry of Education, Yanshan University, Qinhuangdao; 066004, China; (2) Key Laboratory of Parallel Robot and Mechatronic System of Hebei Province, Yanshan University, Qinhuangdao; 066004, China

Corresponding author: Zhao, Yongsheng(yszhao@ysu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 367-375

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Redundantly actuated parallel manipulator demands higher actuation coordination than the non-redundantly actuated one, thanks to its degree of actuation exceeding its degree of freedom. To improve the actuation coordination of redundantly actuated parallel manipulator, a novel model-based driving force synchronous control method with neural network was proposed. With 6PUS+UPU parallel manipulator as object, dynamic model was derived based on virtual work principle. To improve the actuation coordination of redundantly actuated parallel manipulator, a novel driving force synchronous control method was proposed on basis of force-position hybrid actuation. The synchronous control method was based on the driving force error of actuated joints and driving force adjustment was calculated by the synchronous controller. The synchronous controller was designed with neural network. What’s more, the learning law of neural network controller was derived with manipulator’s dynamic model to improve the learning efficiency. Model simulation and prototype experiment were carried out, and a performance comparison analysis with traditional force-position hybrid actuation method was made to verify the proposed control method. Comparison analysis revealed that, comparing with the traditional force-position hybrid actuation method, driving force synchronous control with neural network proposed could effectively improve the actuation coordination of redundantly actuated parallel manipulator. The results revealed that the synchronous control method reduced the driving force errors of whole manipulator by properly magnifying the control error of force actuated joint. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 28

Main heading: Controllers

Controlled terms: Degrees of freedom (mechanics)? - ?Dynamic models? - ?Errors? - ?Neural networks? - ?Redundant manipulators

Uncontrolled terms: Hybrid controls? - ?Neural network controllers? - ?Parallel manipulators? - ?Performance comparison? - ?Redundantly actuated? - ?Synchronous control? - ?Synchronous controllers? - ?Virtual work principle

Classification code: 732.1 Control Equipment

Control Equipment

? - ?921 Mathematics

Mathematics

? - ?931.1 Mechanics

Mechanics

DOI: 10.6041/j.issn.1000-1298.2018.02.048

Compendex references: YES

Database: Compendex

32. Forest Microclimate Monitoring System Based on Beidou Satellite

Accession number: 20182405309209

Authors: Zheng, Yili (1); Zhao, Yandong (1); Liu, Weiping (1); Liu, Shengbo (1)

Author affiliation: (1) School of Technology, Beijing Forestry University, Beijing; 100083, China

Corresponding author: Zhao, Yandong(yandongzh@bjfu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 217-224

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to realize the real-time monitoring of ecosystem parameters in the forest with little mobile phone signal, a real-time forest microclimate monitoring system was designed based on Beidou satellite short message communication, Internet of things and cloud storage technologies. The system was composed of microclimate monitoring station, cloud server and software. The forest atmosphere, soil, sunlight and plant parameters can be real timely monitored. The system had functions such as cloud storage, dynamic query, report generation and data analysis. The calculation of forest fire weather index was smoothed and the factor of the litter layer soil humidity was supplemented to realize the forecast of the forest fire weather grade, which was used for the early warning of the local forest fire. Through the continuous experiments at Beijing Jiufeng national forest park from March to May 2017, three forest microclimate stations can obtain 11 kinds of microclimate data stably and reliably, and the success ratios of data transmission through Beidou satellite were 98.57%, 99.43% and 99.59%, respectively, successfully realizing long-term real-time monitoring. The communication fee using Beidou satellite short message communication was lower than that using Iridium SBD communication service. Since 2016, this system had been widely used for the forestry big data acquisition and analysis in Beijing, Inner Mongolia, Hebei and Henan provinces. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 13

Main heading: Monitoring

Controlled terms: Big data? - ?Cellular telephone systems? - ?Data acquisition? - ?Deforestation? - ?Digital storage? - ?Fire hazards? - ?Fires? - ?Forecasting? - ?Radio navigation? - ?Satellites ? - ?Search engines

Uncontrolled terms: Beidou satellites? - ?Cloud storages? - ?Forest fires? - ?Microclimate monitoring? - ?Short message

Classification code: 655.2 Satellites

Satellites

? - ?716.3 Radio Systems and Equipment

Radio Systems and Equipment

? - ?722.1 Data Storage, Equipment and Techniques

Data Storage, Equipment and Techniques

? - ?723 Computer Software, Data Handling and Applications

Computer Software, Data Handling and Applications

? - ?723.2 Data Processing and Image Processing

Data Processing and Image Processing

? - ?914.2 Fires and Fire Protection

Fires and Fire Protection

Numerical data indexing: Percentage 9.86e+01%, Percentage 9.94e+01%, Percentage 9.96e+01%

DOI: 10.6041/j.issn.1000-1298.2018.02.028

Compendex references: YES

Database: Compendex

33. Analysis of Hysteresis and Power Consumption Characteristics of Fe-Ga Rod Alloy

Accession number: 20182405309066

Authors: Weng, Ling (1); Cao, Xiaoning (1); Liang, Shuzhi (1); Sun, Ying (1); Huang, Wenmei (1); Wang, Bowen (1)

Author affiliation: (1) State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin; 300130, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 411-418

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Hysteresis and power consumption characteristics of Fe-Ga alloy is the basis of working efficiency study of magnetostrictive transducers. Based on hall effect and Faraday’s law of electromagnetic induction, a set of automatic testing system for magnetic properties of magnetostrictive materials was designed. By using the automatic testing system, the magnetic hysteresis curve of Fe-Ga rod alloy was tested and analyzed under different magnetic field frequencies and magnetic induction intensities. And coercive force and remanence were increased when the magnetic field frequency and magnetic induction intensity were increased respectively. By the hysteresis curve of the same magnetic induction intensity under different magnetic field frequencies, electromagnetic losses and energy storage medium were calculated. Simultaneously, electromagnetic losses were separated into three main parts of hysteresis, eddy current and residual loss. It was found that when magnetic induction intensity was 1 725 mT and magnetic field frequency was increased from 30 Hz to 70 Hz, electromagnetic loss and energy storage medium were increased by 3.24 times and 1.96 times respectively as well as hysteresis, eddy current and residual losses which were separated by electromagnetic loss respectively were increased by 1.33 times, 5.26 times and 7.35 times. The proportion of hysteresis loss was fallen from 56.87% to 31.31%, the proportion of eddy current loss was risen from 32.98% to 48.69%, and the proportion of residual loss remain unchanged. For the high-frequency working conditions of Fe-Ga gallon transducer, the treatment of slicing Fe-Ga rod alloy was made to reduce the eddy current loss and improve the efficiency of Fe-Ga gallon transducer. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 21

Main heading: Iron alloys

Controlled terms: Automatic testing? - ?Binary alloys? - ?Eddy currents? - ?Electric power utilization? - ?Electromagnetic induction? - ?Energy efficiency? - ?Energy storage? - ?Gallium alloys? - ?Hysteresis? - ?Magnetic fields ? - ?Magnetic storage? - ?Magnetostrictive devices? - ?Transducers

Uncontrolled terms: Different-magnetic fields? - ?Faraday’s law of electromagnetic inductions? - ?Fe-Ga alloy? - ?Hysteresis characteristics? - ?Magnetic hysteresis curves? - ?Magnetic induction intensity? - ?Magnetostrictive material? - ?Magnetostrictive transducers

Classification code: 525.2 Energy Conservation

Energy Conservation

? - ?525.7 Energy Storage

Energy Storage

? - ?545.2 Iron Alloys

Iron Alloys

? - ?549.3 Nonferrous Metals and Alloys excluding Alkali and Alkaline Earth Metals

Nonferrous Metals and Alloys excluding Alkali and Alkaline Earth Metals

? - ?701.1 Electricity: Basic Concepts and Phenomena

Electricity: Basic Concepts and Phenomena

? - ?701.2 Magnetism: Basic Concepts and Phenomena

Magnetism: Basic Concepts and Phenomena

? - ?706.1 Electric Power Systems

Electric Power Systems

? - ?722.1 Data Storage, Equipment and Techniques

Data Storage, Equipment and Techniques

? - ?961 Systems Science

Systems Science

Numerical data indexing: Frequency 3.00e+01Hz to 7.00e+01Hz, Magnetic_Flux_Density 1.73e+00T, Percentage 3.30e+01% to 4.87e+01%, Percentage 5.69e+01% to 3.13e+01%

DOI: 10.6041/j.issn.1000-1298.2018.02.053

Compendex references: YES

Database: Compendex

34. Inversion of Soil Moisture Content Based on Multispectral Remote Sensing of UAVs

Accession number: 20182405309204

Authors: Zhang, Zhitao (1, 2); Wang, Haifeng (1, 2); Han, Wenting (3); Bian, Jiang (1); Chen, Shuobo (1); Cui, Ting (1)

Author affiliation: (1) College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling; Shaanxi; 712100, China; (2) The Key Laboratory of Agricultural Soil and Water Engineering in Arid Areas, Ministry of Education, Northwest A&F University, Yangling; Shaanxi; 712100, China; (3) Institute of Soil and Water Conservation, Northwest A&F University, Yangling; Shaanxi; 712100, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 173-181

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: To get the soil moisture of the large scale rapidly and the best monitoring depth in bare soil by UAV multispectral remote sensing technology, the clay loam soil was prepared into two different depths (5 cm and 10 cm) and the soil moisture ranged from 3% to 30% of the different samples. The UAV was equipped with a Micro-MCA multispectral camera to monitor the soil samples at 3 p.m. for three consecutive days. The soil spectral reflectance values of six bands (490 nm, 550 nm, 680 nm, 720 nm, 800 nm and 900 nm) were collected. The surface moisture content (about 1 cm) and overall moisture content of soil samples of two different depths were also measured. The regression models between soil moisture and the reflectance of different bands were established by the regression methods of partial least squares regression, stepwise regression and ridge regression. Quantitative relationship was analyzed of the regression modes and the methods. The results showed that the three regression models had statistical significance (P2were 0.775, 0.764, 0.798 and 0.694, RMSE were 0.028, 0.042, 0.037 and 0.038 and RPD were 2.22, 2.04, 2.20 and 1.75), followed by ridge regression method and partial least squares method. The regression models of the surface soil had good inversion effect in monitoring depth. The inversion effect was decreased as the increase of monitoring depth. The relationship between the soil moisture and the wavelength of 720 nm, 680 nm and 550 nm band was better among the six bands. The results showed that the best regression method was stepwise regression method, and the best monitoring depth was the surface layer (about 1 cm) of the soil samples. The research result can provide reference for the rapid monitoring of soil moisture in the area by using multispectral remote sensing of UAVs, and promote the further development of precision agriculture. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 35

Main heading: Regression analysis

Controlled terms: Least squares approximations? - ?Moisture control? - ?Moisture determination? - ?Reflection? - ?Remote sensing? - ?Soil moisture? - ?Soil surveys? - ?Unmanned aerial vehicles (UAV)

Uncontrolled terms: Multi-spectral cameras? - ?Multispectral remote sensing? - ?Partial least squares regression? - ?Partial least-squares method? - ?Soil spectral reflectance? - ?Statistical significance? - ?Stepwise regression? - ?Stepwise regression method

Classification code: 483.1 Soils and Soil Mechanics

Soils and Soil Mechanics

? - ?652.1 Aircraft, General

Aircraft, General

? - ?921.6 Numerical Methods

Numerical Methods

? - ?922.2 Mathematical Statistics

Mathematical Statistics

? - ?944.2 Moisture Measurements

Moisture Measurements

Numerical data indexing: Percentage 3.00e+00% to 3.00e+01%, Size 1.00e-01m, Size 1.00e-02m, Size 4.90e-07m, Size 5.00e-02m, Size 5.50e-07m, Size 6.80e-07m, Size 7.20e-07m, Size 8.00e-07m, Size 9.00e-07m

DOI: 10.6041/j.issn.1000-1298.2018.02.023

Compendex references: YES

Database: Compendex

35. Extracting Crown Structure Parameters of Individual Tree by Using Ground-based Laser Scanner

Accession number: 20182405309207

Authors: Wang, Jia (1, 2); Zhang, Fangfei (1, 2); Gao, He (1, 2); Lü, Chundong (1, 2)

Author affiliation: (1) College of Forestry, Beijing Forestry University, Beijing; 100083, China; (2) Beijing Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing; 100083, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 199-206

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In traditional forest resources survey, it was hard to get tree structure parameters due to its different shapes and complex structures. Totally six stand trees were selected as a sample data in the campus of Beijing Forestry University. By using ground-based laser scanner as a tool to acquire single tree scanning point cloud data, the canopy gap fraction was calculated based on Lambert azimuthal equal area projection and stereographic projection; tree crown volume and surface area were extracted by two methods: irregular surface projection and voxel method by using cloud point data. The results showed that the average relative error of two methods for gap fraction was 0.03, and the extraction result using stereographic projection was smaller than that using Lambert azimuthal equal area projection; the relative error of crown volume of two kinds of extraction methods was 5.32%~12.43%, the average relative error was 9.29%, the relative error of the extracted crown surface area was 1.40%~5.21%, the average relative error was 3.33%. The difference between the results of the two methods were not very significant, therefore, the extraction of gap fraction, crown volume and surface area based on the use of the point cloud data can provide a more reliable data support for 3D green quantity, calculation of trees biomass, photosynthetic ability etc. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 24

Main heading: Forestry

Controlled terms: Errors? - ?Extraction? - ?Green computing? - ?Laser applications? - ?Scanning

Uncontrolled terms: Crown structure? - ?Crown surface area? - ?Crown volume? - ?Gap fraction? - ?Ground-based lasers

Classification code: 744.9 Laser Applications

Laser Applications

? - ?802.3 Chemical Operations

Chemical Operations

Numerical data indexing: Percentage 3.33e+00%, Percentage 9.29e+00%

DOI: 10.6041/j.issn.1000-1298.2018.02.026

Compendex references: YES

Database: Compendex

36. Influence of Inlet Vortex on Pressure Pulsation in Axial Flow Pump Unit

Accession number: 20182405309196

Authors: Song, Xijie (1); Liu, Chao (1); Luo, Can (1)

Author affiliation: (1) School of Hydraulic Energy and Power Engineering, Yangzhou University, Yangzhou; 225100, China

Corresponding author: Liu, Chao(liuchao@yzu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 113-119 and 81

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The pressure pulsation is one of the main causes of vibration and noise in axial flow pump, in order to study the mechanism of pressure fluctuation induced by vortex, several pressure pulsation monitoring points were stalled at the bottom of the pump sump, the horn mouth, the impeller inlet and outlet, the outlet of the guide vane. The flow rate of 1.2Qd(1.2Qd=38.4 L/s) was selected. The dynamic process of vortex generation and disappearance was measured by an advanced high-speed camera, and the microscopic variation of the vortex was observed. The results showed that the vortex tube below the horn position and low position, the maximum amplitude of pressure fluctuation at the bottom of the vortex tube, the Cpvalue was about 1.8~2 times of the non center point of pressure fluctuation of Cpvalue, at the center of tube, the pressure pulsation frequency of the vortex occurred at 1 time of the impeller rotation frequency. The pressure fluctuation at the impeller inlet and the pressure fluctuation at the impeller were synchronized at 1 time of the impeller frequency, and the pressure pulsation frequency was 1 time of the frequency of impeller. The detailed structure of the vortex changes was clearly observed by high-speed cameras. On the whole, the maximum amplitude of pressure fluctuation was at the inlet of impeller, and the maximum amplitude of pressure fluctuation occurred at the center of the vortex belt. The Cpvalue of the pressure fluctuation at the center of the vortex belt was about 1.8~2 times of the Cpvalue of the pressure fluctuation at the non center point. Getting through the water inlet swirl from generation to the collapse process and the influence of pressure fluctuation, can provide a theoretical basis for the pumping station project of vortex elimination measures. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 20

Main heading: Vortex flow

Controlled terms: Axial flow? - ?High speed cameras? - ?Impellers

Uncontrolled terms: Axial flow pump? - ?Impeller frequency? - ?Impeller rotation? - ?Maximum amplitude? - ?Microscopic variation? - ?Pressure fluctuation? - ?Pressure pulsation? - ?Vortex generation

Classification code: 601.2 Machine Components

Machine Components

? - ?631.1 Fluid Flow, General

Fluid Flow, General

? - ?742.2 Photographic Equipment

Photographic Equipment

DOI: 10.6041/j.issn.1000-1298.2018.02.015

Compendex references: YES

Database: Compendex

37. 3D Segmentation of Individual Tree Canopy in Forest Nursery Based on Drone Image-matching Point Cloud

Accession number: 20182405309201

Authors: Chen, Chongcheng (1, 2); Li, Xu (1, 2); Huang, Hongyu (1, 2)

Author affiliation: (1) National Engineering Research Centre of Geospatial Information Technology, Fuzhou University, Fuzhou; 350116, China; (2) Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou University, Fuzhou; 350116, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 149-155 and 206

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Over the last decade point cloud derived from laser scanner has become the mainstream of the individual tree canopy extraction research. However, the high cost of airborne laser scanning acquisition makes it unsuitable for repeated surveys and small-scale forest mappings. Individual tree canopy was extracted from unmanned aerial vehicle images matching point cloud, aiming to provide a cost-effective method which can complement or even partly replace LiDAR forest mapping in small area. Choosing young Osmanthus and Podocarpus trees growing in a nursery as the study objects, the method was tested in two samples of images matching point cloud. An inexpensive commercial off-the-shelter drone with built-in camera was used to acquire overlapping nadir-viewing images. These images were then used to generate dense point cloud in photogrammetry software. After preprocessing, canopy height model was firstly built from the point cloud; a local maximum filter was applied to detect the canopy positions and marked as the seed points; then the initial area of regional growth can be formed from these seeds; in an iterative calculation process of all image matching points were classified. The canopy contours extracted by the algorithm were inputted into ArcGIS to obtain canopy contour vectors, and were validated by comparing with the manually drawn individual tree crown polygon (reference crown). The F score of segmentation results was higher than 89%, and the errors of individual tree crown diameter extraction results were less than 0.14 m (root mean square error) in both sample plots. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 28

Main heading: Forestry

Controlled terms: Antennas? - ?Cost effectiveness? - ?Drones? - ?Extraction? - ?Image matching? - ?Image segmentation? - ?Iterative methods? - ?Laser applications? - ?Mapping? - ?Mean square error ? - ?Unmanned aerial vehicles (UAV)

Uncontrolled terms: Airborne Laser scanning? - ?Canopy Height Models? - ?Cost-effective methods? - ?Growth algorithms? - ?Individual tree? - ?Iterative calculation? - ?Matching points? - ?Root mean square errors

Classification code: 405.3 Surveying

Surveying

? - ?652.1 Aircraft, General

Aircraft, General

? - ?744.9 Laser Applications

Laser Applications

? - ?802.3 Chemical Operations

Chemical Operations

? - ?911.2 Industrial Economics

Industrial Economics

? - ?921.6 Numerical Methods

Numerical Methods

? - ?922.2 Mathematical Statistics

Mathematical Statistics

Numerical data indexing: Percentage 8.90e+01%, Size 1.40e-01m

DOI: 10.6041/j.issn.1000-1298.2018.02.020

Compendex references: YES

Database: Compendex

38. Raman Analysis of Influence of Physical Treatment on Structure and Interaction of Soybean Protein-Phosphatidylcholine

Accession number: 20182405309226

Authors: Jiang, Lianzhou (1); Zhang, Xiaoyuan (1); Zhu, Yifang (1); Li, Yang (1); Olga, Olegovna Babich (2); Wang, Zhongjiang (1)

Author affiliation: (1) College of Food Science, Northeast Agricultural University, Harbin; 150030, China; (2) Higher Vocational Education Kemerovo Institute of Food Science and Technology, Federal State-owned Budgetary Educational Institution, Kemerovo; 650056, Russia

Corresponding author: Wang, Zhongjiang(wzjname@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 345-350

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Structural changes of soybean protein-phosphatidylcholine complex under ultrasonic treatment and high pressure homogenization by Raman spectroscopy were analyzed. Ultrasonic treatment and high pressure homogenization treatment both were found increased the content of α-helix and random coil structure, but decreased the β-structure of soybean protein. The interaction of soybean protein and phosphatidylcholine significantly decreased the protein α-helix structure by transforming it into random coil and β-sheet structures. Under ultrasonic treatment and high pressure homogenization, the protein α-helix structure of soybean protein-phosphatidylcholine complex was lower than that of the high speed dispersion treatment complex, while the content of β-folded structure and random coil structure were higher. Tryptophan and tyrosine residues of soybean protein tended to expose with ultrasound and high pressure homogenization, which promoted the hydrophobic interaction between soybean protein and phosphatidylcholine. The interaction sites were located in soybean protein hydrophobic amino acid side chain and phosphatidylcholine lipid hydrophobic chain, the hydrophobic interaction was the main force of soybean-phosphatidylcholine interaction. Under the condition of ultrasonic treatment and high pressure homogenization, the structure of disulfide bond of soybean protein was not changed significantly, and the gauche-gauche-trans conformational vibration mode was remained. The interaction of soybean protein phosphatidylcholine did not change the structure of disulfide bond. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 30

Main heading: Proteins

Controlled terms: Amino acids? - ?Chains? - ?Covalent bonds? - ?Hydrophobicity? - ?Raman scattering? - ?Sulfur compounds? - ?Ultrasonic equipment

Uncontrolled terms: High pressure? - ?High pressure homogenization? - ?Hydrophobic amino acids? - ?Hydrophobic interactions? - ?Random-coil structures? - ?Soybean phosphatidylcholine? - ?Soybean proteins? - ?Ultrasonic treatments

Classification code: 602.1 Mechanical Drives

Mechanical Drives

? - ?741.1 Light/Optics

Light/Optics

? - ?753.2 Ultrasonic Devices

Ultrasonic Devices

? - ?801.4 Physical Chemistry

Physical Chemistry

? - ?804.1 Organic Compounds

Organic Compounds

? - ?931.2 Physical Properties of Gases, Liquids and Solids

Physical Properties of Gases, Liquids and Solids

DOI: 10.6041/j.issn.1000-1298.2018.02.045

Compendex references: YES

Database: Compendex

39. Variable Weight Force-Position Mixed Control of High-power Tractor Based on Soil Specific Resistance

Accession number: 20182405309227

Authors: Wang, Suyu (1); Liu, Zhan (1, 2); Li, Ruichuan (1, 2); Xu, Jikang (1, 3); Liu, Yanjun (4)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao; 266590, China; (2) Shandong Wuzheng (Group) Co., Ltd., Rizhao; 276800, China; (3) Rizhao Haizhuo Hydraulic Co., Ltd., Rizhao; 276800, China; (4) College of Mechanical Engineering, Shandong University, Ji’nan; 250100, China

Corresponding author: Li, Ruichuan(liruichuan808@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 2

Issue date: February 25, 2018

Publication year: 2018

Pages: 351-357

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to adapt to the multivariate environment of soil condition, a control algorithm based on soil specific resistance for force-position mixed control was explored. By building fuzzy PID control strategy, soil specific resistance B was introduced to simulate soil environment, and Matlab was used to analyze the specific resistance of different soils. Based on the system overshoot, stability time and change of tillage depth, combined with practical experience, the relationship between weight coefficient and soil specific resistance was discussed, and the control algorithm of weight coefficient was designed by the relationship. The method was compared with the method with fixed coefficient of 0.5, and the field tests were carried out. The experimental results showed that the method of variable weight force-position mixed control using this control algorithm can take advantage of position adjustment in the soil with smaller resistance, so as to ensure the depth of tillage; in the soil with larger resistance, the advantages of force adjustment can be taken to ensure the performance of the engine. The method can realize the automatic judgment and setting of the weight coefficient in the area where the soil specific resistance changed greatly, and laied the foundation for the more accurate control of the system, which can also have implications for researchers in the field. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 22

Main heading: Position control

Controlled terms: Agricultural machinery? - ?Agriculture? - ?MATLAB? - ?Power control? - ?Soils? - ?Three term control systems? - ?Tractors (truck)

Uncontrolled terms: Fuzzy - pid controls? - ?High power? - ?Mixed controls? - ?Specific resistances? - ?Variable weight

Classification code: 483.1 Soils and Soil Mechanics

Soils and Soil Mechanics

? - ?663.1 Heavy Duty Motor Vehicles

Heavy Duty Motor Vehicles

? - ?731.1 Control Systems

Control Systems

? - ?731.3 Specific Variables Control

Specific Variables Control

? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control

Agricultural Equipment and Methods; Vegetation and Pest Control

? - ?821.1 Agricultural Machinery and Equipment

Agricultural Machinery and Equipment

? - ?921 Mathematics

Mathematics

DOI: 10.6041/j.issn.1000-1298.2018.02.046

Compendex references: YES

Database: Compendex

40. Influence of Inlet Gas Volume Fraction on Similarity Law in Centrifugal Pumps under Gas-Liquid Two-phase Condition

Accession number: 20182405309195