
Computer and Computing Technologies in Agriculture X
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The 55 revised papers presented were carefully reviewed and selected from 128 submissions. They cover a wide range of interesting theories and applications of information technology in agriculture, including intelligent sensing, cloud computing, key technologies of the Internet of Things, precision agriculture, animal husbandry information technology, including Internet + modern animal husbandry, livestock big data platform and cloud computing applications, intelligent breeding equipment, precision production models, water product networking and big data , including fishery IoT, intelligent aquaculture facilities, and big data applications.
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Content
- Intro
- Preface
- Conference Organization
- Contents
- Study on the Theory and Practice of Data Visualization
- Abstract
- 1 Introduction
- 2 The Psychology Foundation of Data Visualization
- 2.1 The Psychophysics of Sensation
- 2.2 The Special Characteristics of Vision
- 2.3 Visual Perception and Consciousness
- 3 The Basic Content of Data Visualization
- 3.1 Data Visualization Based on Computers
- 3.2 The Spatial and Temporal Attributes of Data
- 3.3 The Expression for Data Visualization
- 4 The Practice of Data Visualization
- 4.1 The Principle of the Practice of Data Visualization
- 4.2 The Production Process of Data Visualization
- 4.2.1 Target Decomposition and Objects Classification
- 4.2.2 Data Acquisition
- 4.2.3 Data Analysis
- 4.2.4 Data Processing and Designing Models
- 4.2.5 Video Production
- 4.3 A Case-Agricultural Planning Visualization
- 5 Conclusions
- Acknowledgement
- References
- Assessing the Ability of Image Processing Methods of Droplets Sprayed on Water Sensitive Papers for ...
- Abstract
- 1 Introduction
- 2 Experiments and Methods
- 2.1 Sample Points and Materials
- 2.2 Greyscale Conversion Method
- 2.3 Threshold Selection Method
- 2.4 Manual Validation
- 3 Results and Discussion
- 3.1 Greyscale Parameters
- 3.2 Threshold Selection Method
- 3.3 Manual Validation
- 4 Conclusions
- Acknowledgment
- References
- Application of "GaoFen-1" Satellite Data and "Micro-UAV" Data in Remote Sensing Monitoring in Winter Wheat-Illustrated by a Case of Jizhou in Hebei Province
- Abstract
- 1 Study Area and Data
- 1.1 Research of Regional
- 1.2 Data Acquiring and Data Preprocessing
- 1.2.1 Remote Sensing Data Acquiring
- 1.2.2 Ground Survey Data Acquisition
- 1.2.3 Data Preprocess
- 2 Research Method
- 2.1 The Establishment of Interpretation Symbols
- 2.2 Correction Coefficient
- 3 The Planting Area Monitoring Results and Analysis
- 3.1 Calculation of Correction Coefficient of GF16m Data
- 3.2 Analysis of Monitoring Results of Planting Area
- 4 Conclusion
- References
- Research on Reflectance Spectra Measurement of Chlorophyll-Containing Water in Laboratory
- Abstract
- 1 Introduction
- 2 Preparation of Your Paper
- 3 Results and Analysis
- 3.1 The Reflection Performance Comparison Between the White and Gray Scale
- 3.2 Impact Analysis on the Spectrum Data of Chlorophyll-Containing Water Through the Different Refer ...
- 4 Conclusions
- References
- Study on Simulation of Rice Yield with WOFOST in Heilongjiang Province
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Study Area
- 2.2 Data Acquisition and Processing
- 2.3 Model Localization
- 2.3.1 Model Introduction
- 2.3.2 Model Regionalization
- 2.4 Rice Yield Estimation Model
- 3 Results and Analysis
- 4 Conclusion
- Acknowledgment
- References
- Application of the Data from Landsat8 OLI - The New Generation of Landsat Series in the Cultivated L ...
- Abstract
- 1 Introduction
- 2 Overview of Research Area
- 3 Data Preparation
- 3.1 Introduction of Landsat8 OLI Data
- 3.2 Selection of Appropriate Bands
- 3.3 Selection of Appropriate Time Phase
- 3.4 Preprocessing of Landsat8 OLI Data
- 4 Enhancement Processing of Landst8 OLI Remote Sensing Image
- 4.1 Band Synthesis
- 4.2 Contrast Enhancement
- 4.3 Image Fusion
- 5 Information Extraction of Cultivated Land
- 5.1 Visual Interpretation
- 5.2 Unsupervised Classification
- 5.3 Supervised Classification
- 6 Accuracy Evaluation
- 6.1 Accuracy Test of the Area
- 6.2 Accuracy Test of the Space
- 7 Conclusions
- Acknowledgment
- References
- Research on High Precision pH Sensing Device Based on Cloud Platform Service
- Abstract
- 1 Introduction
- 2 Principle and System Architecture of PH Measurement
- 2.1 The Architecture of pH Measurement System
- 2.2 pH Measurement Principle of Nutrient Solution
- 3 Hardware Circuit Design
- 3.1 pH Electrode
- 3.2 Sensor Analog Front End Circuit
- 3.3 Data Acquisition Module
- 3.4 WiFi Communication Module
- 4 Software Design
- 4.1 System Software Design
- 4.2 pH Acquisition Program Design
- 4.3 The Serial Communication Between MCU and WiFi
- 5 The Access of Cloud Platform and Mobile Terminal Development
- 5.1 The Access of Cloud Platform
- 5.2 Rapid Development of APP
- 6 Experimental Test
- 6.1 Function Test
- 6.2 Sensor Proof Reading Test
- 6.3 Network Transmission Test
- 7 Conclusion
- Acknowledgment
- References
- Effects of Waterlogging and Shading at Jointing Stage on Dry Matter Distribution and Yield of Winter Wheat
- Abstract
- 1 Introduction
- 2 Experiments and Methods
- 2.1 Experimental Design
- 2.2 Sampling
- 2.3 Calculation of Partitioning Indexes of Dry Matter
- 2.4 Statistical Analysis
- 3 Results
- 3.1 Partitioning Index of Dry Matter
- 3.2 Yield and Yield Components
- 4 Discussion
- 5 Conclusions
- Acknowledgment
- References
- Identification of Eggplant Young Seedlings Infected by Root Knot Nematodes Using Near Infrared Spectroscopy
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Test Material
- 2.2 Test Method
- 3 Results and Analysis
- 4 Conclusions
- Acknowledgements
- References
- Applicability of Model Updating Method to Different Detection Indexes of Cold Fresh Pork
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Materials
- 2.2 Acquisition of Spectral Data
- 2.3 Measurement of Physicochemical Reference Values
- 2.4 Model Updating Method
- 2.5 Method to Evaluate the Updating Model
- 3 Results and Analysis
- 3.1 PLSR Model of Each Index of the Master Variety
- 3.2 Model Updating Results of the PLSR Model of Water Content
- 3.3 Model Updating Results of the PLSR Model of PH Value
- 3.4 Model Updating Results of the PLSR Model of TVB-N Content
- 4 Conclusions
- Acknowledgment
- Detection of Defects in Malus asiatica Nakai Using Hyperspectral Imaging
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Experimental Materials
- 2.2 Instrumentation
- 2.3 Spectral Data Processing and Analysis Software
- 2.4 Spectrum Collecting
- 2.5 Calibration Method of Hyperspectral Image
- 2.6 Analyzing Algorithms
- 3 Results and Discussion
- 3.1 Discrimination of Defects in Malus Asiatica Nakai Based on Spectra
- 3.1.1 The Average Spectral Curves of Malus Asiatica Nakai
- 3.1.2 Extracting Characteristic Wavelengths
- 3.1.3 ELM Identification Model for Defects of Malus Asiatica Nakai
- 3.2 Discrimination of Defects for Malus Asiatica Nakai Based on Image Progressing
- 4 Conclusions
- Acknowledgement
- References
- Study and Development of the Precision Management System for Livestock
- Abstract
- 1 Introduction
- 2 Overall Design
- 2.1 System Requirements Analysis
- 2.2 Overall Structure
- 3 Precision Management System Design
- 3.1 Fodder Safety Monitoring Subsystem
- 3.2 Automatic Rations Formula Subsystem
- 3.3 Disease Diagnose and Prevention Subsystem
- 3.4 Precise Feeding Subsystem
- 3.5 Environmental Monitoring Subsystem
- 3.6 Integration of Subsystem
- 4 Experiments and Discussion
- 5 Conclusions
- Acknowledgment
- References
- Kinematic Simulation of Vibrating Disc No-Till Seeder Based on Creo Software
- Abstract
- 1 Introduction
- 2 Structure and Working Principle of Vibrating Disc No-Till Seeder
- 3 Kinematic Simulation and Results
- 3.1 Geometric Modelling
- 3.2 Kinematic Modelling
- 3.3 Result Analysis
- 4 Conclusions
- Acknowledgment
- References
- Calculation of Effective Rainfall in the Spring Maize Growing Period
- Abstract
- 1 Introduction
- 2 Experiments and Methods
- 2.1 Experimental Cite
- 2.2 Data Collection
- 2.3 Parameters of the Model
- 2.4 Methods
- 2.4.1 Calculation of Effective Rainfall
- 2.4.2 Regression Analysis
- 3 Results and Discussion
- 3.1 Rainfall Frequency Analysis
- 3.2 Effective Rainfall Analysis
- 3.3 Soil Water Storage Measured and Simulated Values Analysis
- 3.3.1 Soil Water Storage Changes Without Irrigation
- 3.3.2 Soil Water Storage Changes with Irrigation
- 4 Conclusions
- References
- Simulation of Evaporation and Transpiration of Eggplant Under Mulch Drip Irrigation in Greenhouse
- Abstract
- 1 Introduction
- 2 Experiments and Methods
- 2.1 Experimental Samples
- 2.2 Experimental Methods
- 2.3 Simulation Calculation of Evaporation and Transpiration
- 2.3.1 Calculation of Crop Coefficient
- 2.3.2 Calculation of Soil Water Correction Coefficient
- 3 Results Analysis
- 3.1 Changes of Leaf Area Index of Eggplant with Time
- 3.2 Irrigation Amount of Eggplant
- 3.3 Comparison Between Simulated and Measured Values
- 3.4 Variation Law of Crop Coefficient
- 3.5 Changes of Evapotranspiration
- 4 Conclusions
- Acknowledgment
- References
- Design and Development of Greenhouse Energy Management Platform Based on STM32
- Abstract
- 1 Introduction
- 2 System Architecture
- 2.1 Functional Requirements Analysis
- 2.2 Software and Hardware Architecture
- 3 Hardware Design and Composition
- 3.1 Hardware Selection
- 3.2 Data Acquisition
- 4 Embedded Software Design
- 4.1 Transplantation of Embedded System µCOS-III
- 4.2 Transplantation of SQLite Database on µCOS-III
- 4.3 Transplantation of µC/GUI
- 4.4 Software Process Design
- 5 System Verification
- 6 Conclusion
- Acknowledgment
- References
- Study on the Dynamic Low Limit of Irrigation for Winter Wheat
- Abstract
- 1 Introduction
- 2 The Method of Determination Dynamic Irrigation Low Limit
- 2.1 Crop Water Model
- 2.2 Optimizing and Solving Irrigation Schedule Under Different Water Supply Condition
- 2.2.1 Optimization Model
- 2.2.2 Optimization of Irrigation Schedule
- 2.3 Determination of Dynamic Water Low Limit Value
- 3 Sample Calculation
- 3.1 Texting Survey
- 3.2 Valuing and Calibrating of Model Parameter
- 3.2.1 Dynamics Simulation of Soil Moisture Parameters
- 3.2.2 Dynamic Simulation of Soil Nitrogen Parameters
- 3.3 Calibration and Testing of Crop Water Model Parameters
- 3.3.1 Relevant Parameters of Photosynthetic Product in Distribution Calculation
- 3.3.2 Index of Water Nutrient Stress and Calibration of Photosynthetic Conversion Efficiency and Inspection of Crop Water Model
- 3.4 Parameter Values and Results of Optimization Model of Irrigation System
- 3.5 The Analysis Result of Winter Wheat Under Dynamic Irrigation Low Limit Value
- 3.6 Winter Wheat Dynamic Low Limit Value in the Application of Irrigation Forecast
- 3.6.1 Irrigation Forecasting Process and Increase Production Efficiency Analysis
- 4 Conclusion
- Acknowledgment
- References
- Research on Plant Growth Simulation Method Based on ARToolkit
- Abstract
- 1 Introduction
- 2 Materials and Method
- 2.1 ARToolkit Technology Architecture
- 2.2 ARToolkit Coordinate System
- 2.3 Maya 3-D Modeling
- 2.4 Target Marker Production
- 2.5 Interactive Simulation
- 2.6 The Interactive User Interface
- 3 Results and Discussion
- 4 Conclusions
- Acknowledgements
- References
- Control System Design of Soy Sauce Koji-Making Based on ARM
- Abstract
- 1 Introduction
- 2 Overall System Framework
- 3 Hardware Design
- 3.1 Power Conversion Circuit
- 3.2 LCD Interface Circuit
- 4 Software Design
- 4.1 Software Design of Control System
- 4.2 Display Driver
- 5 Conclusions
- Acknowledgments
- References
- Research on the Comprehensive Evaluation of Alfalfa Management in Zuli River Basin
- Abstract
- 1 Introduction
- 2 Experiments and Methods
- 2.1 Study on the Suitable Planting Time of Alfalfa in Zuli River Basin
- 2.2 Spatial Distribution of Alafalfa Yield
- 3 Results and Discussion
- 3.1 Study on the Suitable Planting Time of Alfalfa in Zuli River Basin
- 3.2 Spatial Distribution of Alafalfa Yield
- 4 Conclusions
- Acknowledgment
- References
- Fruit Tree Image Registration Based on Improved FAST Algorithm
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Materials
- 2.2 Image Feature Extraction
- 2.3 Feature Points Description
- 2.4 Feature Matching Method
- 3 Results and Discussion
- 4 Conclusion
- Acknowledgements
- References
- Development of a Recognition System for Alfalfa Leaf Diseases Based on Image Processing Technology
- Abstract
- 1 Introduction
- 2 General Structure of the Image-Based Recognition System
- 3 System Development Environment
- 4 System Functions and Their Realization
- 4.1 The System Interface
- 4.2 Disease Image Loading
- 4.3 Leaf Region Segmentation
- 4.4 Interested Region Cropping
- 4.5 Lesion Image Segmentation
- 4.6 Disease Image Identification
- 5 Building Executable Program of the Developed Image Recognition System
- 6 Conclusions and Discussion
- Acknowledgments
- References
- Design Optimization and Performance Evaluation of a Tillage Depth Precision Measurement System
- Abstract
- 1 Introduction
- 2 Experimental Device and Methods
- 2.1 Outline of Experimental Device
- 2.1.1 Mechanical System Design
- 2.1.2 Hardware Design
- 2.2 System Initialization and Calibration
- 2.3 Data Processing Method
- 2.4 Experimental Method
- 3 Results and Discussion
- 3.1 Kalman Filter
- 3.2 Comparison Experiment of Different Target
- 3.3 Comparison Experiment of Different Field Types
- 3.4 Comparison Experiment of Different Target Tillage Depth
- 4 Conclusions
- Acknowledgment
- References
- Research on Evaluation of Soil Fertility Resource Space Based on Regional Hotspots and Clustering Method
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 The Basic Situation of the Study Area
- 2.2 Research Methods
- 2.2.1 Getis-Ord Gi* (Hot Spot Analysis)
- 2.2.2 Moran's I (Clustering and Outlier Analysis)
- 2.2.3 Spatial Autocorrelation of the Two Algorithms Similarities and Differences
- 3 Results and Analysis
- 3.1 Hot Spots, Clustering and Outlier Analysis of Nutrient N
- 3.2 Hot Spots, Clustering and Outlier Analysis of Nutrient P
- 3.3 Hot Spots, Clustering and Outlier Analysis of Nutrient K
- 3.4 Hot Spots, Clustering and Outlier Analysis of Organic Matter
- 4 Conclusions
- Acknowledgments
- References
- Research on GA-RBF Optimization Algorithm in the Prediction of Yield Loss of Maize Diseases and Pests
- Abstract
- 1 Introduction
- 2 GA-RBF Fusion Algorithm
- 2.1 Genetic Algorithm (GA)
- 2.2 Radial Basis Function (RBF)
- 2.3 GA-RBF
- 3 Simulation Experiment and Result Analysis
- 3.1 Experimental Materials
- 3.2 Partial Matlab Code
- 3.3 Simulation Results Analysis
- 3.3.1 Simulation Parameter Setting
- 3.3.2 Experimental Process and Results Analysis
- 4 Conclusion
- Acknowledgment
- References
- The Association Rules Algorithm Based on Clustering in Mining Research in Corn Yield
- Abstract
- 1 Introduction
- 2 Clustering and Association Rules
- 2.1 Select Clustering Algorithm
- 2.2 Clustering Algorithm K Value Selection
- 2.3 Association Rules Algorithm
- 3 Case Analysis
- 3.1 Cluster Analysis
- 3.2 Data into Level
- 3.3 Relationship Between the Various Soil Nutrients and Yield
- 3.4 Data Association
- 3.5 Examine the Validity of
- 3.6 When Yield Is Equal to a, the Relationship Between the Various Soil Nutrients
- 4 Conclusion and Analysis
- 5 Discussion and Outlook
- Acknowledgment
- References
- Application of Principal Component Cluster Analysis in the Quality of Cordyceps Sinensis
- Abstract
- 1 Introduction
- 2 Experiments and Methods
- 2.1 Experimental Samples
- 2.2 Principal Component Cluster Analysis
- 3 Results and Discussion
- 3.1 The Data Is Processed by the Method of Cluster Analysis
- 3.2 Carry on Principal Component Clustering
- 4 Conclusions
- References
- Principal Component Clustering Analysis Apply to the Amino Acid Content in Antler Based on Matlab
- Abstract
- 1 Introduction
- 2 The Data Extraction and Related Work
- 3 Mathematical Model Theory
- 3.1 Principal Component Cluster Analysis
- 4 Results and Discussion
- 4.1 With the Principal Component Cluster Analysis Methods for Data Processing
- 5 Conclusions
- References
- The Principal Component Analysis and Cluster Analysis of Trace Elements in Gentian
- Abstract
- 1 Introduction
- 2 Experiments and Methods
- 2.1 Experimental Samples
- 2.2 Experimental Methods
- 3 Results and Discussion
- 3.1 The Result of Principal Component Analysis
- 3.2 Clustering Analysis
- 4 Conclusions
- Acknowledgement
- References
- Research on Color and Shape Recognition of Maize Diseases Based on HSV and OTSU Method
- Abstract
- 1 Introduction
- 2 Image Preprocessing
- 2.1 Image Acquisition
- 2.2 Optimal Genetic Algorithm
- 2.3 Image Smoothing
- 2.3.1 Noise Suppression Algorithm
- 2.3.2 Implementation Results and Analysis
- 3 Image Disease Color Feature Extraction
- 3.1 Extraction of Color Component Based on RGB
- 3.2 Extraction of Color Component Based on HSV
- 3.3 RGB and HSV Comparative Analysis Results
- 4 Disease Shape Feature Segmentation and Recognition
- 4.1 Global Threshold Method
- 4.2 Maximum Between Class Variance Method
- 4.3 Comparison of Global Threshold and OTUS Method
- 5 Conclusions
- Acknowledgments
- References
- Research on Variation Rule of Sensible Heat Flux in Field Under Different Soil Moisture Content and Underlying Surface by Large Aperture Scintillometer
- Abstract
- 1 Introduction
- 2 Experiments and Methods
- 2.1 Experimental Methods
- 2.2 The Principle of Large Aperture Scintillometer and Calculation Method of Sensible Heat Flux
- 2.2.1 The Basic Principle of Large Aperture Scintillometer
- 2.2.2 The Calculation Methods and Specific Processes of the Sensible Heat Flux
- 3 Results and Analysis
- 3.1 Sensible Heat Flux Comparison of LAS and Eddy Covariance System
- 3.2 The Variation Regularity of Farmland Sensible Heat Flux Under Different Soil Moisture Content
- 3.3 The Variation Regularity of Sensible Heat Flux with the Time Under Different Underlying Surface
- 4 Conclusions
- Acknowledgment
- References
- Design Method for Chemical Clogging Emitters Boundary Optimization
- Abstract
- 1 Introduction
- 2 Experiments and Methods
- 2.1 Model Establishment
- 2.1.1 The Standard k-e Model
- 2.1.2 The DPM Model
- 2.2 Design Basis and Optimization Ideas
- 2.2.1 Design Basis
- 2.2.2 Optimization Ideas
- 2.3 Boundary Conditions
- 3 Results and Discussion
- 3.1 Hydraulic Performance
- 3.2 Internal Flow Field
- 3.3 Anti-clogging Performance
- 3.3.1 DPM Particle Tracking
- 3.3.2 Particles Pass Rate
- 4 Conclusions
- Acknowledgment
- References
- Strategies of Agricultural Manufacturing Industrial Cluster Knowledge Service Platform Construction and Optimization: The Case of Shandong Province
- Abstract
- 1 Introduction
- 2 Literature Review
- 2.1 Industry Cluster Knowledge Network
- 2.2 Industrial Cluster Knowledge Transfer
- 2.3 Knowledge Service Platform
- 2.4 Knowledge Service Platform Model
- 3 The Necessity and Feasibility of Agricultural Industry Cluster Knowledge Service Platform
- 3.1 The Necessity of Industrial Clusters of Knowledge Service Platform
- 3.2 The Feasibility of Knowledge Service Platform for Agricultural Machinery Industrial Clusters
- 4 Current Situation Analysis in Shandong Province
- 4.1 Current Development Situation of Agricultural Machinery Manufacturing Industry
- 4.2 Development Status of Agricultural Knowledge Service Platform
- 4.3 "Double Channels" Collaborative Analysis of Knowledge Service Platform
- 4.4 Operation Analysis of Knowledge Service Platform
- 5 Conclusion and Implication
- Acknowledgements
- References
- Application of GIS and Modified DRASTIC Model Based on Entropy Weight and Fuzzy Theory to Ground Water Vulnerability Evaluation
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Study Area
- 2.2 DRASTIC Model
- 2.3 Modified DRASTIC Model Based on Entropy Weight and Fuzzy Theory
- 2.3.1 Adding Parameters Reflecting Effect of Human Activities
- 2.3.2 Determining Parameter Weight Combining Entropy Method and AHP
- 2.3.3 Fuzzy Comprehensive Evaluating
- 3 Results and Discussion
- 3.1 Maps of Each DRASTICWFN Parameters
- 3.2 Groundwater Vulnerability Map
- 3.3 Discussion
- 4 Conclusion
- Acknowledgment
- References
- Simulation Research on Water Quality in the Irrigation Section of Jinsha River
- Abstract
- 1 Introduction
- 2 Schemes and Methods
- 2.1 Schemes
- 2.2 Methods
- 3 Results and Discussion
- 4 Conclusions
- Acknowledgment
- References
- Research on Virtual Simulation of Flood Propagation in Agricultural Area Under the Land Subsidence
- Abstract
- 1 Introduction
- 2 Land Subsidence Analysis
- 2.1 The General Situation of Study Area
- 2.2 Land Subsidence Analysis
- 2.3 Settlement Analysis of Cofferdam Project
- 2.4 Settlement Comprehensive Analysis
- 3 Establishment of Flood Routing Model
- 3.1 Basic Principles of Model
- 3.2 Solution of the Numerical Equation
- 3.3 Division of Computational Grids
- 3.4 Calculation Conditions
- 4 Result Analysis of Different Frequency Flood Routing After Land Subsided
- 4.1 Analysis of the Calculation Result After Land Subsidence in 20 Years
- 4.2 Analysis of the Calculated Results In 50 Years After the Settlement
- 4.3 Comparative Analysis of the Flood Evolution Before and After Land Subsidence
- 4.4 Influence of Land Subsidence on the Security in Detention Basin
- 5 Summary
- Acknowledgment
- References
- Research on the Clustering Method of Agricultural Scientific Data Based on the Author's Scientific Research Relationship
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Analysis of the Research Relationship
- 2.2 CLARANS Algorithm
- 2.3 Design of Experiments
- 2.4 Data and Analysis
- 3 Conclusion
- Acknowledgements
- References
- Evaluating E-Service Quality of Agricultural Business Websites in China: E-S-QUAL Model Approach
- Abstract
- 1 Introduction
- 2 Theoretical Background
- 3 Research Methods
- 3.1 Measures
- 3.2 Data Collection
- 4 Results and Discussion
- 5 Conclusions
- References
- Design of Agaricus Bisporus Automatic Grading System Based on Machine Vision
- Abstract
- 1 Introduction
- 2 Agaricus Bisporus Automatic Grading System
- 3 Key Technology of Classification System
- 3.1 Visual Localization Algorithm
- 3.2 Image Recognition Algorithm
- 3.3 Classification Standard
- 4 Results and Discussion
- 5 Conclusion
- Acknowledgment
- References
- Study on China-Laos Forestry Cross-Border Cooperation Strategy Model
- Abstract
- 1 Introduction
- 2 Literature Review
- 3 Synergy Dynamics of Forestry Cross Border Cooperation Strategy in Laos and China
- 3.1 Laos's Reform and Opening up Provide Conditions for Cross-Border Cooperation in Forestry Between ...
- 3.2 China's "Going Out" Strategy and "One Belt and One Road" Strategy Provide Driving Force for Cros ...
- 3.3 Cloud Platform is the Catalyst for the Cross-Border Cooperation Strategy of Laos and China Forestry
- 3.4 The External Power of the Forestry Cross-Border Cooperation Strategy in Laos and China
- 3.5 The Internal Power of the Forestry Cross Border Cooperation Strategy in Laos and China
- 4 Model Construction of Forestry Cross-Border Collaboration Strategy Between Laos and China
- 4.1 The Pattern Design of "Overseas in Jiangsu" in Forestry Cross-Border Collaboration Strategy Betw ...
- 4.2 The Pattern Characteristics of "Overseas Jiangsu" in Forestry Cross-Border Collaboration Strateg ...
- 4.3 "Overseas Jiangsu" Cross - Border Collaborative Cloud Platform Design
- 5 Policy Advice
- 5.1 Integrating and Establishing the "Overseas Jiangsu" Construction Promotion Agency
- 5.2 Cultivating Social Organizations and Intermediary Service Organizations to Participate in the Cr ...
- 5.3 Construction of the Application System of Cross-Border Cooperation in the Development of the Lao ...
- References
- The Monitoring System for Agricultural Environment Based on Point Surface Fusion with the Internet o ...
- Abstract
- 1 Introduction
- 2 System Organization Structure
- 2.1 Agricultural Environmental Data Collection Based on Internet of Things
- 2.2 WebGIS Crop Growth Environment Data
- 3 System Function Design
- 3.1 System Function Module
- 3.2 Regional Data Simulation and Evaluation
- 4 System Realization and Result Analysis
- 4.1 System Function and Interface
- 4.2 Real Time Monitoring of the Internet of Things
- 4.3 Dynamic Monitoring of Soil Moisture in Point to Surface Area
- 5 Conclusions and Discussion
- References
- Study on Social Stability Risk Detection of Large Hydraulic Project Construction Based on Social Vulnerability Evaluation
- Abstract
- 1 Introduction
- 2 Characteristic Function for the Vulnerability of Social System of Major Hydraulic Project
- 2.1 Characteristic Function Modeling Techniques of Vulnerability Social System of Major Hydraulic Project
- 2.2 Social Risk Exposure Dimensionality
- 2.3 Social Sensitivity Dimensionality
- 2.4 Response Ability Dimensionality of Social System
- 3 Risk Assessment Method of Social Stability to Large Scale Hydraulic Project Construction Based on the Social Vulnerability
- 3.1 Social Vulnerability Assessment Model Based on the Large-Scale Hydraulic Project Construction
- 3.2 Vulnerability Index System of Social System in the Large-Scale Hydraulic Project Construction Areas
- 3.3 Determine the Weighting Based on the Entropy Method
- 4 Evaluating the Social System Vulnerability and Social Stability Risk of Wanzhou in Three Gorges Reservoir
- 5 Summary
- Acknowledgement
- References
- Research on Intelligent Decision of Pulmonary Tuberculosis Disease Based on Data Mining
- Abstract
- 1 Introduction
- 2 Data Mining Foundation
- 2.1 Rough Set Theory
- 2.2 Decision Tree Method
- 3 Model Construction
- 3.1 Construction of Electronic Medical Records
- 3.2 Tuberculosis Diagnosis Based on Data Mining
- 3.2.1 Data Preprocessing
- 3.2.2 Attribute Reduction Based on Rough Set
- 3.2.3 Decision Tree Model
- 3.3 Results Analysis
- 4 Establishment of the Decision System
- 5 Results and Discussion
- Acknowledgments
- References
- Removing Stray Noise Quickly from Point Cloud Data Based on Sheep Model
- Abstract
- 1 Introduction
- 2 K-Nearest Neighbor Searching of Point Cloud Data
- 2.1 Rasterize Scattered Point Cloud Data
- 2.2 Searching of K-Neighbor Points
- 3 Algorithm Design
- 3.1 Improved K-Neighbor Search Algorithm
- 3.2 Median Filtering Searching of K-Neighbor Points
- 4 Experimental Results and Analysis
- 5 Conclusion
- Acknowledgment
- References
- Modelling and Predicting of Soil Electrical Conductivity and PH from Semi-arid Grassland Using VIS-NIR Spectroscopy Technology
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Study Area and Sample Set
- 2.2 Laboratory Spectral Measurement
- 2.3 Spectral Data Preprocessing
- 2.4 Modeling and Predicting Methods
- 3 Result and Analysis
- 3.1 The Characteristic Soil Spectrum of EC and PH
- 3.2 The Validation of Modeling Results
- 3.2.1 SVM
- 3.2.2 PLSR
- 4 Discussion and Conclusion
- Acknowledgements
- References
- Effect of Plants Combination in Purifying Farmland Drainage
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Aquatic Plants
- 2.2 Test Water
- 2.3 Experimental Methods
- 3 Results and Discussion
- 3.1 Removal Effect of Nitrogen and Phosphorus in Water by Aquatic Combination
- 3.2 Reduction Law of Nitrogen and Phosphorus in Water
- 3.3 Changes of Total N and P in Sediment
- 4 Conclusions
- Acknowledgment
- References
- Problems and Countermeasures of 3S Technologies Application in Precision Agriculture
- Abstract
- 1 Introduction
- 2 Current Situation and Problems of 3S Technologies Application in Precision Agriculture
- 2.1 Current Situation and Problems of RS Technology Application in Precision Agriculture
- 2.1.1 Current Situation and Problems of RS Technology Application in Precision Agriculture
- 2.1.2 Current Situation and Problems of RS Technology Application in Precision Agriculture
- 2.2 Current Situation and Problems of GIS Application in Precision Agriculture
- 2.2.1 Current Situation and Problems of RS Technology Application in Precision Agriculture
- 2.2.2 Problems of GIS Application in Precision Agriculture
- 2.3 Current Situation and Problems of GPS Application in Precision Agriculture
- 2.3.1 Current Situation of GPS Application in Precision Agriculture
- 2.3.2 Problems of GPS Application in Precision Agriculture
- 2.4 Current Situation and Problems of the Application of 3S Integration Technology in Precision Agriculture
- 2.4.1 Current Situation of 3S Integration Technology Application in Precision Agriculture
- 2.4.2 Problems of 3S Integration Technology Application in Precision Agriculture
- 3 Suggestions and Countermeasuress
- 3.1 Improve and Expand Agricultural Database
- 3.2 Further Study of Image Interpretation Mechanism of Agricultural Remote Sensing
- 3.3 Strengthen the Standardization Construction of Remote Sensing Data
- 3.4 Improve Positioning Accuracy of Farmland Operation
- 3.5 Attach Importance to the Integration of New Agricultural Machinery and 3S Technologies
- 3.6 Apply Seamless Integration Technology of Multi-source Spatial Data
- Acknowledgement
- References
- Feature Selection for Cotton Matter Classification
- Abstract
- 1 Introduction
- 2 Methods
- 3 Experiments
- 3.1 Data Preparation
- 3.2 Experimental Set
- 3.3 Results and Discussion
- 4 Conclusions
- Acknowledgments
- References
- Effect of Calibration Set Selection on Quantitatively Determining Test Weight of Maize by Near-Infrared Spectroscopy
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Maize Samples
- 2.2 NIR Spectrum Acquisition
- 2.3 Calibration and Validation Sets
- 2.4 NIR Data Analysis
- 3 Results and Discussion
- 3.1 Statistical Analysis of Maize Test Weight
- 3.2 NIR Spectra of Maize
- 3.3 Model of Homogeneous Distribution
- 3.4 Model of Normal Distribution
- 3.5 Validation Set
- 4 Conclusion
- Acknowledgements
- References
- Research on Method of Image Extraction for Crop Monitoring with Multi Rotor UAV
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Test Material
- 2.2 Test Method
- 3 Results and Analysis
- 4 Conclusions
- Acknowledgements
- References
- Prediction of Drying Indices for Paddy Rice in a Deep Fixed-Bed Based on Neural Network
- Abstract
- 1 Introduction
- 2 Experiment
- 3 ANN Prediction Models
- 3.1 BPNN Model
- 3.2 RBFNN Model
- 3.3 GRNN Model
- 3.4 ELMAN Model
- 3.5 Prediction Model of Paddy Rice Drying
- 4 Conclusions
- References
- Definition Management Zones of Drip Irrigation Cotton Field Based on the GIS and RS
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Obtain Remote Sensing Data
- 2.2 Zone Partition Method and Confirm of Suitable Zone Number
- 2.3 Data Processing and Analysis
- 3 Results and Analysis
- 3.1 Soil Property and Vegetation Index Descriptive Statistics
- 3.2 Obtain Management Zone Index and Zone Method
- 3.3 Management Zone Partition
- 3.4 Management Zone Evaluation
- 3.5 Management Zone Precision Check
- 3.6 Regarding This as Basis and Check Rationality and Precision of Management Divided by Those Different Data Sources
- 4 Conclusion
- Acknowledgements
- References
- A Survey on Development of "Internet + Farmer Cooperative" in China
- Abstract
- 1 Introduction
- 2 Current Development Conditions and Analysis of "Internet + Farmer Cooperative" in China
- 2.1 Upstream of Industrial Chain: Creation of "Agricultural Material + Internet + Farmer Cooperative" Pattern Focused Initially on Agricultural Material
- 2.2 Midstream of Industrial Chain: Creation of a "Farmer Cooperative + Internet + Production" Pattern Starting from Production
- 2.3 Downstream of Industrial Chain: Creation of a "Farmer Cooperative + Internet + Market" Pattern by Regarding Consumers as the Key Link
- 2.4 Full Industrial Chain: Creation of a "Farm + Internet + Farmer Cooperative + Internet + Dining Table" Pattern Centered Around Products
- 3 Issues and Challenges Faced by "Internet + Farmer Cooperative" Pattern in China
- 3.1 Social Perspective: Weak Software and Software Basis
- 3.2 Industrial Perspective: Multiple Limitations
- 3.3 Entity Perspective: Lack of Awareness of Talents and Funds
- 4 Policy Recommendations
- 4.1 Physical and Intangible Infrastructure
- 4.2 Momentum Created by Innovations
- 4.3 A Constant Focus on Talent Cultivation
- References
- Hyperspectral Estimation of Leaf Area Index of Winter Wheat Based on Akaike's Information Criterion
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Brief Introduction of Research Area
- 2.2 Canopy Spectrometry
- 2.3 LAI Determination
- 2.4 Method
- 2.4.1 Vegetation Index Selection
- 2.4.2 Grey Relational Analysis, GRA
- 2.4.3 Akaike's Information Criterion (AIC)
- 2.4.4 Least Squares Support Vector Machine (LSSVM)
- 2.5 Statistical Analysis
- 3 Results and Analysis
- 3.1 Correlation Between Vegetation Index and LAI
- 3.2 Grey Correlation Between Vegetation Index and LAI
- 3.3 The Use of AIC to Determine the Optimal Regression Model
- 3.4 Estimation and Validation of LAI
- 4 Conclusions
- References
- Author Index
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