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Table of Contents
Intro
Foreword
Contents
Chapter 1: The Agriculture Eras
References
Chapter 2: Global Navigation Satellite Systems
2.1 Introduction
2.2 Projection and Coordinate Systems in Positioning
2.3 How Satellite Positioning Systems Work
2.4 Satellite Positioning Errors
2.5 Systems to Improve the Precision/Accuracy of Satellite Positioning
2.6 Final Considerations
References
Chapter 3: Spatial and Temporal Variability Analysis
3.1 Introduction
3.2 Spatial and Temporal Variability Sources
3.3 Factors That Affect Crop Yield
3.4 Temporal Variability of Crop Yield
3.5 Determination of Spatial and Temporal Variability of Soils and Crops
3.6 Management of Variability
References
Chapter 4: Images and Remote Sensing Applied to Agricultural Management
4.1 Introduction
4.2 Remote Sensing
4.3 Digital Images
4.4 Choice of Remote Sensing Platform
4.5 Applications
References
Chapter 5: Geoprocessing Applied to Crop Management
5.1 Introduction
5.2 Geographic Information Systems (GIS)
5.2.1 Vector
5.2.2 Raster
5.2.3 Data acquisition
5.2.4 Field Data Collection
5.3 Data Analysis in GIS
5.3.1 Obtaining and Converting Text Files
5.3.2 Spatial Query
5.3.3 Exploratory Data Analysis
5.3.4 Data Filtering
5.4 Digital Image Processing
5.4.1 Geometric Correction
5.4.2 Atmospheric Correction
5.4.3 Unsupervised Classification
5.4.4 Supervised Classification
5.5 Vegetation Indices
5.6 Data Integration and GIS
5.6.1 Cross-Referencing Methods
5.6.1.1 Data Interpolation
5.6.1.2 Use of Buffer Extraction
5.6.1.3 Pixel Resampling
5.7 Integration of Spectral and Agrometeorological Data
5.8 Example of Data Integration: The Concept of Management Zones
References
Chapter 6: Sampling and Interpretation of Maps
6.1 Introduction
6.2 A Brief History
6.3 What You Cannot Miss About Sampling
6.3.1 Sampling in the Context of Precision Agriculture
6.4 Sampling Strategies
6.4.1 Grid Sampling by Point
6.4.2 Grid Sampling by Cell
6.4.3 Targeted Grid Sampling
6.4.4 Sampling by Management Zones
6.5 Map Generation
6.5.1 By Interpolation
6.5.2 By Management Zones
6.5.3 Crop Variability Mapping
6.5.4 Mapping of Soil Attributes
6.5.5 Mapping of Pests and Diseases
6.5.6 Interpretation of Maps for Decision-Making
References
Chapter 7: Application of Drones in Agriculture
7.1 Introduction
7.2 Legislation
7.3 Sensors
7.4 Flight Planning
7.5 Image Processing
7.6 Applications of RPAs in Agriculture
7.7 Topographic Survey
7.8 Crop Monitoring
7.8.1 Physiological Assessments
7.8.2 Biophysical Assessments
7.8.3 Identification of Biological Targets
7.9 Application of Phytosanitary Products via RPAs
7.10 Other Applications
References
Chapter 8: Sensors and Actuators
Foreword
Contents
Chapter 1: The Agriculture Eras
References
Chapter 2: Global Navigation Satellite Systems
2.1 Introduction
2.2 Projection and Coordinate Systems in Positioning
2.3 How Satellite Positioning Systems Work
2.4 Satellite Positioning Errors
2.5 Systems to Improve the Precision/Accuracy of Satellite Positioning
2.6 Final Considerations
References
Chapter 3: Spatial and Temporal Variability Analysis
3.1 Introduction
3.2 Spatial and Temporal Variability Sources
3.3 Factors That Affect Crop Yield
3.4 Temporal Variability of Crop Yield
3.5 Determination of Spatial and Temporal Variability of Soils and Crops
3.6 Management of Variability
References
Chapter 4: Images and Remote Sensing Applied to Agricultural Management
4.1 Introduction
4.2 Remote Sensing
4.3 Digital Images
4.4 Choice of Remote Sensing Platform
4.5 Applications
References
Chapter 5: Geoprocessing Applied to Crop Management
5.1 Introduction
5.2 Geographic Information Systems (GIS)
5.2.1 Vector
5.2.2 Raster
5.2.3 Data acquisition
5.2.4 Field Data Collection
5.3 Data Analysis in GIS
5.3.1 Obtaining and Converting Text Files
5.3.2 Spatial Query
5.3.3 Exploratory Data Analysis
5.3.4 Data Filtering
5.4 Digital Image Processing
5.4.1 Geometric Correction
5.4.2 Atmospheric Correction
5.4.3 Unsupervised Classification
5.4.4 Supervised Classification
5.5 Vegetation Indices
5.6 Data Integration and GIS
5.6.1 Cross-Referencing Methods
5.6.1.1 Data Interpolation
5.6.1.2 Use of Buffer Extraction
5.6.1.3 Pixel Resampling
5.7 Integration of Spectral and Agrometeorological Data
5.8 Example of Data Integration: The Concept of Management Zones
References
Chapter 6: Sampling and Interpretation of Maps
6.1 Introduction
6.2 A Brief History
6.3 What You Cannot Miss About Sampling
6.3.1 Sampling in the Context of Precision Agriculture
6.4 Sampling Strategies
6.4.1 Grid Sampling by Point
6.4.2 Grid Sampling by Cell
6.4.3 Targeted Grid Sampling
6.4.4 Sampling by Management Zones
6.5 Map Generation
6.5.1 By Interpolation
6.5.2 By Management Zones
6.5.3 Crop Variability Mapping
6.5.4 Mapping of Soil Attributes
6.5.5 Mapping of Pests and Diseases
6.5.6 Interpretation of Maps for Decision-Making
References
Chapter 7: Application of Drones in Agriculture
7.1 Introduction
7.2 Legislation
7.3 Sensors
7.4 Flight Planning
7.5 Image Processing
7.6 Applications of RPAs in Agriculture
7.7 Topographic Survey
7.8 Crop Monitoring
7.8.1 Physiological Assessments
7.8.2 Biophysical Assessments
7.8.3 Identification of Biological Targets
7.9 Application of Phytosanitary Products via RPAs
7.10 Other Applications
References
Chapter 8: Sensors and Actuators