
Computer and Computing Technologies in Agriculture IX
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Content
- Intro
- Preface
- Conference Organization
- Contents -- Part I
- Contents -- Part II
- The Growth Analysis in the Wheat Filling Process of the Two Hybrids and Their Parents Based on Richards Equation
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Plant Material
- 2.2 Sampling and Harvesting
- 3 Results
- 3.1 Grain Filling Process and Rate
- 3.2 The Grain Filling Model in Different Varieties and Different Grain Positions
- 3.3 Division of Grain Filling Type
- 4 Discussion
- References
- Comparative Study on Metaheuristic-Based Feature Selection for Cotton Foreign Fibers Recognition
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Application Background
- 2.2 Data Preparation
- 2.3 Metaheuristic Algorithms for Feature Selection
- 3 Results and Discussion
- 4 Conclusions
- Acknowledgments
- References
- Beta Function Law to Model the Dynamics of Fruit's Growth Rate in Tomato: Parameter Estimation and Evaluation
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Field Experiments
- 2.2 Model Description
- 2.3 Parameter Calibration and Evaluation
- 2.4 Statistical Analysis
- 3 Results and Discussion
- 4 Conclusion
- Acknowledgments
- References
- A Web-Based Cooperation and Retrieval Model of Character Images for Ancient Chinese Character Research
- Abstract
- 1 Introduction
- 2 Architecture of the Cooperation and Retrieval Model
- 3 Key Techniques in the Model
- 3.1 Cooperation Mechanism of Research Task
- 3.2 Image-Text Integrated Arrangement
- 3.2.1 Image-Text Integrated Display
- 3.2.2 Image-Text Integrated Edition
- 3.2.3 Image-Text Integrated Import and Export
- 3.3 Research Conclusion Records Sorting by Radical Order
- 3.4 Ancient Chinese Character Image Retrieval
- 4 Experimental Result and Analysis
- 5 Conclusion
- Acknowledgments
- References
- Research of Large-Scale and Complex Agricultural Data Classification Algorithms Based on the Spatial Variability
- Abstract
- 1 Introduction
- 2 Sensitive Attribute Weights Fuzzy C-Means Analysis
- 2.1 Construction of Sensitive Attribute Weights
- 2.2 Construction of Attribute Weights Fuzzy C-Means Algorithm
- 2.3 MATLAB Modeling Tool
- 3 Experimental Results and Discussion
- 3.1 Data Sources
- 3.2 Data Processing
- 3.3 Application and Analysis of Algorithms
- 4 Conclusion
- Acknowledgment
- References
- An Algorithm for the Interactive Calculating of Wheat Plant Surface Point Coordinates Based on Point Cloud Model
- Abstract
- 1 Introduction
- 2 Material and Method
- 2.1 Solving the User Sight Equation Passing the Given Screen Pixel Point
- 2.2 Screening the Point Cloud Near the Line of Sight
- 2.3 Extracting the Efficient Point Set Near the Line of Sight
- 2.4 Surface Fitting Efficient Point Set
- 2.5 Calculating the Intersection Between the Line of Sight and the Object Surface
- 3 Result and Analysis
- 4 Conclusion
- Acknowledgements
- References
- Quick and Automatic Generation Method for the Evaluation Report of the Small Hydropower Substitute Fuel Project
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 The Structure of Evaluation Report Generation Module
- 2.2 Encapsulating Data Processing Method and Establishing Label
- 2.3 Report Template Customization
- 2.3.1 Evaluating Indicator of the Small Hydropower Replacing Firewood Project
- 2.3.2 Customization of the Multi-indicator Comprehensive Evaluation Report Template
- 2.4 Conversation of Dynamic Web Pages
- 3 Evaluation Report Generation
- 4 Conclusions
- Acknowledgements
- References
- Aquaculture Access Control Model in Intelligent Monitoring and Management System Based on Group/Role
- Abstract
- 1 Role-Based Access Control
- 1.1 RBAC0 [2]
- 1.2 RBAC1 [2]
- 1.3 RBAC2 [2]
- 1.4 RBAC3 [2]
- 2 Aquaculture Access Control Model Based on Group/Role
- 2.1 User Groups
- 2.2 Users
- 2.3 Roles
- 2.4 Permissions and Representation
- 2.4.1 Permissions
- 2.4.2 Representation of Permission
- 2.5 Constraints
- 3 Access Control Process
- 4 Conclusion
- Acknowledgements
- References
- A Decision Model Forlive Pig Feeding Selection
- Abstract
- 1 Introduction
- 2 Method
- 2.1 Daily Requirement
- 2.2 Feeding Decision Model
- 2.3 Data Flow
- 3 Results and Discussion
- 3.1 Feeding Selection
- 3.2 Analysis
- 3.2.1 Price Factor
- 3.2.2 Specified Mixed Feeding Stuff
- 3.2.3 Nutritional Needs
- 4 Conclusion
- Acknowledgement
- References
- Study on Methods of Extracting New Construction Land Information Based on SPOT6
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Study Area and Data
- 2.2 The Principle of Support Vector Machine
- 2.3 Test Flow
- 2.4 Data Preparation
- 2.5 Texture Feature Selection
- 2.6 The Determination of Texture Window
- 2.7 The Determination of SVM Kernel Function and Parameters
- 3 Results and Analysis
- 3.1 The Classification Results
- 3.2 The Extraction Results of New Construction Land
- 4 Conclusion and Discussion
- Acknowledgment
- References
- Application of Remote Sensing Technology in Agriculture of the USA
- Abstract
- 1 The Data Resources in the America Agriculture Remote Sensing Monitoring
- 2 Two Important Fundamental Spatial Data to Support Agricultural Remote Sensing Business Running Work
- 2.1 The Data of Common Land Unit (CLU)
- 2.2 The Data of Cropland Data Layer (CDL)
- 3 The Application of Remote Sensing Technology in America Agriculture
- 3.1 The Application of Remote Sensing Technology in Agricultural Investigation
- 3.2 The Application of Remote Sensing Technology in Agricultural Insurance
- 3.3 The Application of Remote Sensing Technology in Flood Disaster Monitoring
- 3.4 The Application of Remote Sensing Technology in Drought Monitoring and Its Early Warning
- 3.4.1 The Application in Drought Monitoring
- 3.4.2 The Application in Drought Early Warning
- 3.5 The Application of Remote Sensing Technology in Groundwater Pollution Monitoring
- 3.6 The Application of Remote Sensing Technology in Land Farming Intensity Monitoring
- 3.7 Summary
- 4 The Fundament for Wide Application of Agricultural Remote Sensing Technology in the USA
- 4.1 A Solid Foundation of American Agricultural Remote Sensing Data
- 4.2 There Is an Open Data Sharing Platform in America
- 4.3 Agricultural Remote Sensing Running System Is Complete in America
- 4.4 There Is High Degree of Automation to Agricultural Remote Sensing Image Interpretation in the USA
- 5 Discussion
- 5.1 Strengthen the Idea of Universal Suitable for Use, Sharing and Cooperation
- 5.2 Highlighting the Targets of Guiding Production, Managing Resource and Serving Policy Decision
- 5.3 Grasp Well the Priorities of the Basic Data Preparation, the Data Platform Building and the Key Technologies Studying
- References
- Aquatic Animal Disease Diagnosis System Based on Android
- Abstract
- 1 Introduction
- 2 Design of Aquatic Animal Disease Diagnosis System Based on Android
- 2.1 Structural Design of Aquatic Animal Disease Diagnosis System Based on Android
- 2.2 Build the Application Development Environment
- 2.3 Build the Application Development Environment
- 3 Design of Aquatic Animal Disease Diagnosis System Based on Android
- 3.1 Database Design
- 3.2 System Inference Engine Design and Analysis
- 3.3 System Migration and Updates
- 4 System Integration and Implementation
- 5 Conclusions
- Acknowledgment
- References
- Relationship Between Vegetation Coverage and Rural Settlements and Anti-desertification Strategies in Horqin Left Back Banner, Inner Mongolia, China
- Abstract
- 1 Introduction
- 2 Study Area and Study Transect
- 2.1 Study Area
- 2.2 Study Transect
- 3 Materials and Methods
- 3.1 Materials
- 3.2 Methods
- 3.2.1 Vegetation Index
- 3.2.2 Vegetation Coverage Changing Patterns Around One Rural Settlement and Between 2 Adjacent Rural Settlements
- 4 Results and Discussions
- 4.1 Vegetation Coverage Changing Patterns Around One Rural Settlement
- 4.2 Vegetation Coverage Between Rural Settlements
- 5 Conclusions
- 6 Strategies for Anti-desertification
- Acknowledgment
- References
- China Topsoil Stripping Suitability Evaluation Based on Soil Properties
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Data Sources
- 2.2 Research Design
- 2.3 Evaluation Indicators
- 2.3.1 Soil Thickness Index Processing
- 2.3.2 Indicator Processing of Organic Matter Content
- 2.4 Natural Suitability Score Calculation
- 3 Results
- 3.1 Soil Thickness Classification Results
- 3.2 Classification Results of Soil Organic Matter Content
- 3.3 Topsoil Stripping Natural Suitability Assessment
- 4 Discussion
- 4.1 Fertile Topsoil Improves Transplant Site Nutrient Content
- 4.2 Barren Surface Soil Can Be Used for Thickening the Soil Layer
- 4.3 Stripping Fertilizing Based on Local Conditions
- 4.4 Other Noticeable Issues
- Acknowledgements
- References
- Design of Corn Farmland Monitoring System Based on ZigBee
- Abstract
- 1 Introduction
- 2 Overall Design of Monitoring System
- 3 Hardware Components of Monitoring System
- 3.1 Microprocessor Module
- 3.2 Communication Module
- 3.3 Data Collection Module
- 3.4 Power Module
- 4 Monitoring System Software Design
- 4.1 Front Data Collection System
- 4.2 Terminal Early Warning and Positioning System
- 5 Conclusions
- References
- Simulation of Winter Wheat Yield with WOFOST in County Scale
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Study Area
- 2.2 Measured Data
- 2.3 Study Ideas
- 2.4 WOFOST
- 3 Results and Analysis
- 3.1 Soil Moisture Simulation
- 3.2 Lai Simulation
- 3.3 Yield Simulation
- 4 Conclusion
- Acknowledgment
- References
- Predicting S&P500 Index Using Artificial Neural Network
- Abstract
- 1 Introduction
- 2 Artificial Neural Networks
- 2.1 Overview
- 2.2 Network Structures
- 2.2.1 Single-Neuron Model
- 2.2.2 Single-Layer Model
- 2.2.3 Multi-layer Model
- 2.3 Network Process
- 2.3.1 Threshold Neuron Example
- 2.3.2 Backpropagation
- 2.3.3 Gradient Descent
- 3 Time Series Processing
- 3.1 Recurrent Network
- 3.2 Elman Networks
- 4 S&P 500 IndexForecasting
- 4.1 Input Variables
- 4.1.1 New Housing Starts
- 4.1.2 Moody's AAA Corporate Bond
- 4.1.3 Commercial Paper
- 4.2 Experiment Result
- 5 Conclusions
- References
- The Extraction Algorithm of Crop Rows Line Based on Machine Vision
- Abstract
- 1 Introduction
- 2 Segmentation of Crop Rows
- 2.1 Acquisition of Crop Rows Image
- 2.2 Gray Processing
- 2.3 Filtering Denoising
- 2.4 Two Value Processing
- 3 The Detection of Crop Rows
- 3.1 Morphological Processing
- 3.2 The Skeleton Extraction of Crop Rows
- 3.3 Trunk Line Fitting
- 3.4 The Effect of Extraction of Other Images
- 3.5 Deviation Calculation
- 4 Conclusions
- Acknowledgments
- References
- Design of High-Frequency Based Measuring Sensor for Grain Moisture Content
- Abstract
- 1 Introduction
- 2 Relationship Between Dielectric Constant and Moisture Content of Wheat
- 3 Design of Moisture Measurement Sensor System Based on High Frequency Method
- 3.1 General Design
- 3.2 Signal Generator
- 3.3 Design of the Transmission Line Circuit
- 3.4 Design of Sensor Probes
- 3.5 Design of Differential Amplifier Circuit for Moisture Detection
- 4 Calibration Experiments
- 5 Conclusions
- References
- Propagation Characteristics of Radio Wave in Plastic Greenhouse
- Abstract
- 1 Introduction
- 2 Experiments and Methods
- 2.1 The Experiment Test Systems
- 2.2 Experimental Method
- 2.2.1 Experiments Between the Plastic Greenhouse
- 2.2.2 Experiments in the Plastic Greenhouse
- 2.3 Test Parameters
- 3 Results and Discussion
- 3.1 Propagation Characteristics of Radio Waves Between the Plastic Greenhouses
- 3.1.1 Effect on Intensity of Received Signals
- 3.1.2 Result Analysis
- 3.2 Propagation Characteristics of Radio Waves in the Plastic Greenhouse
- 3.2.1 Effect on the Strength of Received Signals
- 3.2.2 Result Analysis
- 4 Conclusions
- Acknowledgment
- References
- A Review on Leaf Temperature Sensor: Measurement Methods and Application
- Abstract
- 1 Introduction
- 2 Temperature Measurement Theory and Sensing Requirement
- 3 The Status of the Leaf Temperature Sensor in Application Experiment
- 3.1 Application Experiment of the Leaf Temperature Sensor in the Physiological Health of Plants
- 3.2 Application Experiment of the Leaf Temperature Sensor in the Irrigation Guidance and Drought Resistant Genotype Screening
- 3.3 Application Experiment of the Leaf Temperature Sensor in Output Forecasting
- 4 The Methods of Leaf Temperature Measurement
- 4.1 Contacting Measurement of Leaf Temperature
- 4.1.1 Thermal Resistance Measurement
- 4.1.2 Thermocouple Measurement
- 4.2 Non-contacting Measurement of Leaf Temperature
- 4.2.1 Infrared Temperature Measurement
- 4.2.2 Infrared Thermal Imaging Measurement
- 4.3 Leaf Temperature Model
- 5 Problems and Development Direction
- 5.1 Problems
- 5.2 Development Direction
- 6 Conclusion
- Acknowledgement
- References
- Distinguish Effect of Cu, Zn and Cd on Wheat's Growth Using Nondestructive and Rapid Minolta SPAD-502
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 3 Results and Discussion
- 4 Conclusion
- Acknowledgement
- References
- Small-Scale Soil Database of Jilin Province, China
- Abstract
- 1 Introduction
- 2 Overview of Research Area
- 3 Soil Data Analysis
- 3.1 Spatial Data
- 3.2 Attribute Data
- 3.3 Spatial Metadata
- 4 Construction of Soil Database
- 4.1 Construction of Spatial Database
- 4.1.1 Map Pretreatment and Scanning
- 4.1.2 Map Mosaic Registration
- 4.1.3 Element Vector
- 4.1.4 Data Check
- 4.2 Construction of Attribute Database
- 4.2.1 Soil Attributes Data
- 4.2.2 Attribute Data Coding
- 4.2.3 Construction of Attribute Database
- 4.3 Construction of Metadata Database
- 4.4 Construction of Soil Database
- 5 Conclusions
- References
- Agricultural Environmental Information Collection Device Based on Raspberry Pi
- Abstract
- 1 Introduction
- 2 Experiments and Methods
- 2.1 System Hardware Design
- 2.2 Application System Developing
- 3 Results and Discussion
- 4 Conclusions
- Acknowledgment
- References
- Design of Integrated Low-Power Irrigation Monitoring Terminal
- Abstract
- 1 Introduction
- 2 Hardware Structure
- 3 System Function Design
- 3.1 Data Acquisition Function
- 3.1.1 Sensor Data Acquisition
- 3.1.2 Water Meter Data Collection
- 3.2 Record Store and Download
- 3.3 Data Communication
- 4 The Software Design
- 4.1 Task Partitioning
- 4.2 Control Logic
- 4.2.1 Sensor Limit Value Control
- 4.2.2 Timing Control
- 4.2.3 Manual Control Mode
- 4.3 Power Consumption Analysis
- 4.4 Self-test Mode
- 5 Conclusion
- References
- Non-destructive Detection of the pH Value of Cold Fresh Pork Using Hyperspectral Imaging Technique
- Abstract
- 1 Introduction
- 2 Experiments and Methods
- 2.1 Experimental Samples
- 2.2 Experimental Equipment
- 2.3 Acquisition of Hyperspectral Data
- 2.4 Measurement of the pH Value
- 2.5 Data Processing Methods
- 2.6 Model Performance Parameters
- 3 Results and Discussions
- 3.1 Spectral Profiles
- 3.2 Outliers of Pork Samples
- 3.3 Selection of the Sample Set Partition Method
- 3.4 PLSR Models Using the Whole Wavelengths
- 3.5 Selection of Optimum Wavelengths
- 3.6 PLSR Models Using Optimum Wavelengths
- 4 Conclusions
- Acknowledgment
- References
- Cloud-Based Video Monitoring System Applied in Control of Diseases and Pests in Orchards
- Abstract
- 1 Introduction
- 2 Overall Frame Structure of the System
- 3 Fundamental Function Modules
- 3.1 The Module of Acquisition Side
- 3.2 The Module of Gathering Side
- 3.3 The Module of Cloud Storage Service Side
- 3.4 The Module of Application Side
- 4 Results and Analysis
- 5 Conclusion and Prospects
- Acknowledgment
- References
- Research on Coordinated Development Between Animal Husbandry and Ecological Environment Protection in Australia
- Abstract
- 1 Introduction
- 2 Current Development Situation of Graziery Industry in Australia
- 3 The Characteristics of Harmonious Development Between Graziery and Ecology Environment in Australia
- 3.1 Seeding to Revive Ranch, Formulating Appropriate Grazing Capacity
- 3.2 Rotation Grazing on an Area Basis and Grazing off Season
- 3.3 Grazing in Accordance with the Law and Utilizing the Water Resource Rationally
- 4 Australian Animal Husbandry Development Model for China's Enlightenment
- 4.1 Planning and Constructing Regional and Special Pastoral Areas
- 4.2 Planting Grass and Improving Pastures
- 4.3 Conducting Water Conservancy Facilities Construction
- 4.4 Strengthening the Grassland Ecological Protection Ability and Passing Relevant Laws and Regulations for the Protection of Grassland Ecological Environment
- 5 Conclusions
- Acknowledgment
- References
- Determination of Lead (Pb) Content in Vetiver Grass Roots by Raman Spectroscopy
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Samples and Reagents
- 2.2 Samples Preparation
- 2.3 Raman Spectral Measurement
- 2.4 Measurement of Quality Parameters
- 3 Results and Discussion
- 3.1 Raman Spectral Features of Vetiver Grass Root
- 3.2 Reference Analysis
- 3.3 Quantitative Models of Vetiver Grass Root
- 3.4 Identification of Optimum Wavelength
- 3.5 Prediction of Quality Attributes with the Optimum Wavelength
- 4 Conclusion
- Acknowledgements
- References
- Dynamic Analysis of Urban Landscape Patterns of Vegetation Coverage Based on Multi-temporal Landsat Dataset
- Abstract
- 1 Introduction
- 2 Data and Methodology
- 2.1 Study Area
- 2.2 Data Source and Pre-processing
- 2.3 Method
- 2.3.1 Calculation of NDVI
- 2.3.2 Calculation of Vegetation Coverage
- 2.3.3 Selection and Calculation of Landscape Pattern Indices
- 3 Results and Discussion
- 3.1 Classification Maps of Vegetation Coverage
- 3.2 Analysis of the Number of Vegetation Landscape Structure Change
- 3.3 The Changes in Landscape Pattern
- 3.4 Analysis of Driving Forces
- 3.4.1 Economic Development
- 3.4.2 Growth of Population and Construction Areas
- 4 Conclusions
- Acknowledgment
- References
- The Application of the OPTICS Algorithm in the Maize Precise Fertilization Decision-Making
- Abstract
- 1 Introduction
- 2 OPTICS Algorithm
- 2.1 Basic Concepts of OPTICS Algorithm
- 2.2 OPTICS Algorithm Process
- 3 Core Precision Fertilization Decision
- 3.1 Data Acquisition
- 3.2 Data Standardization
- 3.3 Soil Fertility Grading
- 3.4 Calculation of Fertilizer Application
- 4 Conclusions
- References
- The Methodology of Monitoring Crops with Remote Sensing at the National Scale
- Abstract
- 1 Introduction
- 2 Diversification of Crop Monitoring with RS
- 2.1 On Labor Objects
- 2.2 On Labor Materials
- 2.3 On Labor Process
- 3 Elements and the System
- 3.1 The Organizational Elements
- 3.2 The Technical Elements
- 3.3 The System Structure and Function
- 4 The Work Flow of the Operational System
- 4.1 Monitoring the Crop Growth
- 4.1.1 Introduction to the Crop Growth Model
- 4.1.2 A Case
- 4.2 Monitoring Crop Areas
- 4.2.1 Introduction to the AEE Model
- 4.2.2 A Case
- 4.3 Monitoring Crop Yields
- 4.3.1 Introduction to the Yield Estimation Model
- 4.3.2 A Case
- 5 Conclusions
- Acknowledgement
- References
- Is Time Series Smoothing Function Necessary for Crop Mapping? - Evidence from Spectral Angle Mapper After Empirical Analysis
- Abstract
- 1 Introduction
- 2 Materials and Methodology
- 2.1 Materials
- 2.2 Time Series Smoothing Function and Result Check
- 2.3 Crop Mapping and Result Check
- 3 Results and Discussion
- 3.1 Time Series Fitting Results
- 3.1.1 Visual Check
- 3.1.2 Correlation Coefficient, RMSE and SNR
- 3.2 Classification Results
- 3.2.1 Visual Check
- 3.2.2 Mapping Accuracy
- 4 Discussion
- 4.1 Time Series Fitting Effectiveness
- 4.2 Crop Mapping Accuracy
- 4.3 Limitations
- 5 Conclusion
- Acknowledgment
- References
- Application Feasibility Analysis of Precision Agriculture in Equipment for Controlled Traffic Farming System: A Review
- Abstract
- 1 Introduction
- 2 Equipment for Controlled Traffic Farming System
- 2.1 Planter
- 2.2 Field Management Equipment
- 2.3 Harvester
- 3 Key Technology of Precision Agriculture
- 3.1 Global Positional System
- 3.2 Geographic Information System
- 3.3 Remote Sensing
- 4 Application Feasibility Discussion of Precision Agriculture in Equipment for Controlled Traffic Farming System
- 5 Conclusions
- Acknowledgments
- References
- Accurate Inference of Rice Biomass Based on Support Vector Machine
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Plant Materials and Image Acquisition
- 2.2 Feature Extraction and Feature Selection
- 2.3 Model Construction and Comparison
- 3 Results and Discussion
- 4 Conclusions
- Acknowledgment
- References
- Brazil Soybean Area Estimation Based on Average Samples Change Rate of Two Years and Official Statistics of a Year Before
- Abstract
- 1 Introduction
- 2 Study Area and Data Source
- 2.1 Study Area
- 2.2 Data
- 3 Methodology: Sampling Design
- 3.1 Construction of Sampling Frame
- 3.2 Determine the Sampling Proportion and Distribution of Samples
- 3.3 Soybean Extraction by Unsupervised Classification and Visual Interpretation
- 3.4 The Average Change Rate of Samples Between 2013 and 2014
- 3.5 Area Estimation
- 3.6 Accuracy Assessment
- 4 Results
- 5 Discussion and Conclusion
- Acknowledgment
- References
- Meta-Synthetic Methodology: A New Way to Study Agricultural Rumor Intervention
- Abstract
- 1 Introduction
- 2 Online Public Opinion System
- 3 Intervention Mechanism of Online Public Opinion System
- 3.1 Online Public Opinion System Modeling
- 3.1.1 Social Subnetwork
- 3.1.2 Environment Subnetwork
- 3.1.3 Psychological Subnetwork
- 3.1.4 Viewpoint Subnetwork
- 3.1.5 Opinion SuperNetwork
- 3.2 Intervention Timing
- 3.3 Intervention Mode
- 3.4 Intervention Intensity
- 3.4.1 Evolution of System Environment
- 3.4.2 Evolution of System Dynamics
- 3.4.3 Evolution of Opinion Subjects
- 3.4.4 Evolution of Opinion Objects
- 4 Case Study
- 4.1 Experiment Design
- 4.2 Result Analysis
- 5 Conclusions
- Acknowledgements
- References
- Rapid Identification of Rice Varieties by Grain Shape and Yield-Related Features Combined with Multi-class SVM
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Rice Feature Extraction
- 2.2 Multi-SVM Classifier
- 2.2.1 Partition Function
- 2.3 Kernel Function
- 3 Results and Discussion
- 3.1 Grain Traits Extraction Accuracy
- 3.2 Rice Varieties Identification
- 4 Conclusions
- Acknowledgment
- References
- The Acquisition of Kiwifruit Feature Point Coordinates Based on the Spatial Coordinates of Image
- Abstract
- 1 Introduction
- 2 Information Perception
- 2.1 Feature Extraction and Image Acquisition
- 2.2 Picking Order
- 3 Coordinate Conversion
- 4 Obtaining Spatial Coordinates
- 5 Test and Analysis
- 5.1 Test Method
- 5.2 Result and Analysis
- 6 Conclusions
- Acknowledgment
- References
- The Soil Nutrient Spatial Interpolation Algorithm Based on KNN and IDW
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Source of Material
- 2.2 Research Method
- 2.2.1 Inverse Distance Weighted (IDW) Interpolation
- 2.2.2 K-Nearest Neighbor (KNN) Algorithm and Spatial Index of Soil Nutrient Sampling Points Based on K-D Tree
- 3 Design and Simulation of Algorithm
- 3.1 Workflow Design
- 3.2 Algorithm Implementation
- 4 Design and Analysis of Experiments
- 5 Conclusions
- Acknowledgment
- References
- Segmentation of Cotton Leaves Based on Improved Watershed Algorithm
- Abstract
- 1 Introduction
- 2 Experiments and Methods
- 2.1 Experimental Material
- 2.2 Experimental Methods
- 2.2.1 Overall Description of the Algorithm
- 2.2.2 Extraction of Leaf Area in the Image Based on the Color Threshold, Lifting Wavelet Transform and Canny Edge Detection Operator
- 2.2.3 Cotton Image Segmentation Based on Improved Watershed Algorithm
- 2.2.3.1 Principle of Watershed Algorithm
- 2.2.3.2 Image Pre-processing Before Using Watershed Algorithm
- 2.2.3.3 Image Processing Based on Improved Watershed Algorithm
- 3 Results and Discussion
- 3.1 Single Sample Experimental Results Exhibition
- 4 Overall Experimental Results
- 5 Conclusions
- Acknowledgment
- References
- Research on Knowledge Base Construction of Agricultural Ontology Based on HNC Theory
- Abstract
- 1 Introduction
- 2 Basic Technical Concepts
- 2.1 HNC Theory
- 2.2 Ontology
- 2.3 Ontology-Based Knowledge Base
- 3 Knowledge Base Construction of Agricultural Ontology Based on HNC Theory
- 3.1 Ontology Construction Method
- 3.2 Knowledge Base Construction of Agricultural Ontology Based on HNC Theory
- 3.3 A Case Study-Rice Production (Cultivation) and Processing
- 4 Conclusion and Outlook
- Acknowledgment
- References
- Method and System of Maize Hybridized Combination Based on Inbred SSR and Field Test
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Research Technical Route
- 2.2 The Experimental Data
- 2.3 Standardization and Evaluation of Inbred Lines Field Identification Data
- 2.4 Treatment and Evaluation of Inbred SSR Data
- 2.5 Calculation of Parent Heterosis Rate
- 2.5.1 Algorithm of Molecular Marker Genetic Distance
- 2.5.2 Calculation of the Phenotypic Distance
- 2.6 Calculation of Reciprocal Value
- 2.7 Hybrid Group Model and Evaluation and Screening of the Combination
- 3 Realization of the System and Case Analysis
- 3.1 The Screening Results of the SSR Fingerprint Information
- 3.2 The Screening Results of the Parental Phenotypic Traits
- 3.3 The Results of Hybridization Group and Combination Screening
- 4 Discussions
- 5 Conclusions
- Acknowledgment
- References
- Biomass-Based Leaf Curvilinear Model for Rapeseed (Brassica napus L.)
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Materials
- 2.2 Methods
- 2.2.1 Experimental Conditions and Design
- 2.2.2 Measurements
- 2.2.3 Data Analysis
- 2.2.4 Model Validation
- 3 Results
- 3.1 Model Description
- 3.1.1 Probability and Curvilinear Model for Straight Leaves
- 3.1.2 Curvilinear Model for Curving Leaves
- 3.1.2.1 Assumed Functions and There Biological Significance for Leaf Curve
- 3.1.2.2 Solution of the Leaf Curvilinear Equation
- 3.1.2.3 Validation for Leaf Curvilinear Functions
- 3.1.2.4 Biomass-Based Leaf Curvature Simulation
- 3.2 Validation
- 4 Discussion
- 4.1 Establishment of Biomass-Based Leaf Curvilinear Model will Helps to Develop FSRM
- 4.2 The Research Provided a Mechanistic and Universal Method for Leaf Curve Modeling
- 4.3 Models Developed in This Paper Needs to Be Improved
- 5 Conclusions
- Acknowledgments
- References
- Exploring the Effect Rules of Paddy Drying on a Deep Fixed-Bed
- Abstract
- 1 Introduction
- 2 Experimental Materials and Methods
- 2.1 Materials
- 2.2 Method
- 2.3 Determination of Drying Time
- 3 Experiment Scheme
- 4 Analysis of Experimental Results
- 4.1 Regression Equation of Paddy Drying Time
- 4.2 Effect Rules of Two Parameters
- 4.3 Analysis of Drying Characteristics with Different Paddy Layer
- 5 Conclusion and Discussions on Paddy's Influencing Parameters
- References
- Feature Extraction and Recognition Based on Machine Vision Application in Lotus Picking Robot
- Abstract
- 1 Introduction
- 2 Image Acquisition and Segmentation
- 2.1 Image Acquisition
- 2.2 Image Segmentation Algorithm Introduction
- 3 Image Feature Extraction
- 3.1 Color Feature Extraction
- 3.2 Shape Feature Extraction
- 3.2.1 Hu Invariant Moment Feature Extraction
- 3.2.2 PCA Feature Reduction
- 4 K-Means Cluster Analysis
- 5 Image Recognition
- 6 Experiments
- 6.1 Experiment Design
- 6.2 Lotus Image Segmentation
- 6.3 Lotus Image Feature Extraction
- 6.3.1 Hu Invariant Moments
- 6.3.2 PCA Feature Reduction
- 6.3.3 Combination of Color and Shape Feature
- 6.4 Training
- 6.5 Testing
- 7 Conclusion
- Acknowledgments
- References
- Rapeseed (Brassica napus L.) Primary Ramification Morphological Structural Model Based on Biomass
- Abstract
- 1 Introduction
- 2 Experiments and Methods
- 2.1 Experimental Samples
- 2.2 Experimental Methods
- 3 Results and Discussion
- 3.1 Model Description
- 3.2 Leaf Blade Length Model
- 3.3 Maximum Leaf Blade Width Model
- 3.4 Leaf Blade Bowstring Length Model
- 3.5 Stem Length Model of Primary Ramification
- 3.6 Stem Diameter Model of Primary Ramification
- 3.7 Validation
- 3.8 Discussion
- 4 Conclusions
- Acknowledgment
- References
- Effective Wavelengths Selection of Hyperspectral Images of Plastic Films in Cotton
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Samples
- 2.2 System Setup
- 2.3 Image Correction
- 2.4 Wavelength Selection
- 3 Results and Discussion
- 3.1 Difference Spectra Between Cotton and Plastic Films
- 3.2 PCA on the Whole Wavelengths
- 3.3 Selection of Effective Wavelengths
- 3.4 Validation of Selected Wavelengths
- 4 Conclusion
- Acknowledgments
- References
- Research and Experiment on Precision Seeding Control System of Maize Planter
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 System Organization and Working Principle
- 2.2 System Seeding Space Control
- 2.3 Experiment Methods
- 3 Results and Discussion
- 3.1 Seeding Uniformity in Different Working Speed
- 3.2 Seeding Uniformity in Different Seeding Rate
- 3.3 Different Sowing Method Comparison Experiments
- 3.4 Different Seeding Driven Comparison Experiments
- 3.5 Analysis on Rate of Spacing
- 4 Conclusions
- Acknowledgment
- References
- Study on Time and Space Prediction Model About Rice Yield in Hei Longjiang Province
- Abstract
- 1 Introduction
- 2 ARIMA Model
- 2.1 Stationarity Test
- 2.2 Pure Randomness Test
- 2.3 Processing of Outliers
- 3 Rice Yield Prediction Model
- 3.1 Data Collection
- 3.2 Data Processing
- 3.3 Determine the Order Number
- 4 Yield Prediction
- 5 Spatial Analysis of Rice Yield
- 6 Conclusions
- References
- Research on the Digital Machine for Killing the Larva of Longicorn Beetle with Microwave Based on the Arduino
- Abstract
- 1 Introduction
- 2 Microwave Kill the Larva of Longicorn Beetle Composition of the System
- 3 Microwave Kill the Larva of Longicorn Beetle of Electrical Control System
- 3.1 Microwave Kill Longicorn Larvae System Hardware Design
- 3.1.1 Arduino Port Circuit Design
- 3.1.2 Microwave Kill Longicorn Larvae Circuit Design of the System
- 3.1.3 Microwave Kill Longicorn Larvae Temperature Control Circuit Design of the System
- 3.2 Microwave Kill Root Nematode System Software Design
- 3.2.1 Microwave Kill Root Nematode System Temperature and Pulse Microwave Control Program
- 4 Kill Longicorn Larvae of the Mechanical Mechanism of Microwave Insecticidal Machine Design
- 4.1 Neutralising the Longicorn Larvae of Microwave Insecticidal Machine Structure
- 4.2 Structure of Microwave Irradiation
- 5 The Insecticidal Effect of Microwave Neutralising the Longicorn Larvae System
- References
- Risk Assessment of Water Resources Shortage in Sanjiang Plain
- Abstract
- 1 Introduction
- 2 Research Area
- 3 Water Shortage Risk Assessment
- 3.1 Evaluation Index System Construction
- 3.2 Calculation of Index Weight Based on AHP
- 3.3 Membership Evaluation Construction
- 3.4 Evaluation Results and Analysis
- 4 Conclusions
- Acknowledgment
- References
- Analysis of Soil Fertility Based on FUMF Algorithm
- Abstract
- 1 Introduction
- 2 Experiments and Methods
- 2.1 The Situation of Research Area
- 2.2 Collection and Analysis of Sample Data
- 3 Results and Discussion
- 3.1 Fast Unsupervised Multiscale Fuzzy Clustering (FUMF) Algorithm
- 3.2 Soil Nutrient Content Analysis
- 3.3 FUMF Analysis
- 3.3.1 The Initial Precision Fertilization Clustering Results
- 3.3.2 The Middle Precision Fertilization Clustering Results
- 3.3.3 The Late Precise Fertilization Clustering Results
- 3.4 Clustering Analysis
- 4 Conclusions
- Acknowledgment
- References
- Modeling and Optimization of Agronomic Factors Influencing Yield and Profit of a Single-Cropping Rice Cultivar
- Abstract
- 1 Materials and Methods
- 2 Results and Analysis
- 2.1 Effect of the Agronomic Factors on Yield
- 2.2 Effect of the Agronomic Factors on the Profit of Rice Production
- 3 Computer Simulations for the Optimization of Agronomic Scheme
- 3.1 Optimization of High Yield Agronomic Schemes
- 3.2 Optimization of High Profit Agronomic Scheme
- 4 Conclusion and Discussion
- References
- The Milk Somatic Cell Image Segmentation Method Based on Dimension Reduction and Fusion
- Abstract
- 1 Introduction
- 2 The Milk Somatic Cell Image Segmentation Base on the Low Dimensional Space
- 2.1 Select the Low Dimensional Space for the Milk Somatic Cell
- 2.2 Using K-Means to Segment the Milk Somatic Cell in Low Dimensional Space
- 3 Fusion Results of Low Dimensional Space Segmentation
- 4 Experimentation and Results
- 5 Conclusions
- Acknowledgment
- References
- Quantitative Detection of Pesticides Based on SERS and Gold Colloid
- Abstract
- 1 Introduction
- 2 Experiments
- 2.1 Materials
- 2.2 Sample Preparation
- 2.3 SERS Measurement
- 2.4 Data Analysis
- 3 Results and Discussion
- 3.1 Characteristic Raman Shift of Phosmet, Chlorpyrifos
- 3.2 SERS Spectra of Phosmet and Chlorpyrifos
- 3.3 SERS Spectral Pretreatment of Phosmet and Chlorpyrifos
- 3.4 Building Model of Phosmet
- 3.5 SERS Spectral Pretreatment of Chlorpyrifos
- 3.6 Building Model of Chlorpyrifos
- 4 Conclusions
- Acknowledgments
- References
- Research on Freshwater Fish Information Service Mode for Modern Production and Circulation in the Internet + Era
- Abstract
- 1 Introduction
- 2 The Core Elements and Features of the Information Service Model of Modern Production and Circulation in Freshwater Fish
- 3 The Construction of the Information Service Model of Modern Production and Circulation in Freshwater Fish
- 3.1 Production Link
- 3.2 Transaction Link
- 3.3 Circulation Link
- 4 Suggestions
- References
- Interactive Pruning Simulation of Apple Tree
- Abstract
- 1 Introduction
- 2 Overall Design
- 3 Interactive Pruning Simulation
- 3.1 The Model
- 3.2 Data Organization
- 3.3 Interactive Pruning Simulation
- 4 Result
- 4.1 Running Time of Interactive Pruning Simulation
- 4.2 3D Results of Interactive Pruning Simulation
- 4.3 Stochastic 3D Apple Tree Architectures After Being Pruned
- 5 Discussion
- Acknowledgements
- References
- Research on Key Technology of Grid Cell Division Method in Rural Community
- Abstract
- 1 Introduction
- 2 Grid Cell Division
- 2.1 Principle of Grid Cell Division and Geographical Elements
- 2.2 Grid Cell Division Method
- 2.2.1 According to the Administrative Divisions
- 2.2.2 According to the Road Blocks
- 2.2.3 According to the Regular Grid
- 3 Analysis and Comparison
- 4 Conclusions
- References
- A Review on Optical Measurement Method of Chemical Oxygen Demand in Water Bodies
- Abstract
- 1 Introduction
- 2 Different Bands Spectroscopy Method for Measuring Water COD
- 2.1 UV Spectroscopy
- 2.2 Near Infrared Spectroscopy
- 2.3 Comparison of Several Spectroscopic Methods for COD Measurement
- 3 Chemometrics Methods for Optical Measurement of Water COD
- 3.1 Spectral Preprocessing Methods
- 3.2 Regression Approach
- 4 COD On-Line Optical Sensors
- 5 Conclusion
- Acknowledgments
- References
- Analysis of Changes in Agronomic Parameters and Disease Index of Rapeseed Leaf Leukoplakia Based on Spectra
- Abstract
- 1 Introduction
- 2 Materials and Methods
- 2.1 Materials
- 2.2 Methods
- 2.2.1 Experimental Conditions and Design
- 2.2.2 Measurements
- 2.2.3 Model Validation
- 3 Results
- 3.1 Changes in Reflectance Spectrum of Healthy and Leukoplakia Disease Leaves in Different Growth Periods for Rapeseed
- 3.1.1 Reflectance Spectrum of Leaf in Field
- 3.1.2 Reflectance Spectrum of Leaf in Black Background
- 3.2 Correlation Between the Reflectance and the Disease Index (DI), and Agronomic Parameter
- 3.2.1 Correlation Between the Reflectance and the DI, and Agronomic Parameter
- 3.2.2 Changes in Agronomic Parameters with the DI
- 3.3 Spectrum-Based Quantitative Analysis of Agronomic Parameters
- 3.3.1 Reflectance-Based Quantitative Analysis of Agronomic Parameters
- 3.3.2 Model Validation
- 4 Discussion
- 4.1 The Difference of Reflectance Spectrum Between the Normal and Disease Leaf Under Field Nature Condition Was Reduced
- 4.2 There Were Serious Multicollinearity Among Bands
- 4.3 The Effects of Leaf Thickness on SPAD Value Were in Accordance with the Former Studies
- 5 Conclusions
- Funding Information
- References
- Author Index
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