Digital agriculture
This textbook addresses the most recent advances and main digital technologies used in farming. The reader will be able to understand the main concepts and techniques currently used to efficiently manage agricultural production systems. The book covers topics in a general and intuitive way, with exa...
| Other Authors: | Marçal de Queiroz, Daniel,, Valente, Domingos Sárvio M.,, Assis de Carvalho Pinto, Francisco de,, Borém, Aluízio,, Schueller, John K., 1955-, SpringerLink (Online service) |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer,
[2022]
|
| Physical Description: |
1 online resource (viii, 306 pages) : illustrations (chiefly color) |
| Subjects: |
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.