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 (CAR