Precision Agriculture

Evolution, Insights and Emerging Trends

1st Edition - May 18, 2023
Editor: Qamar Zaman
Language: English
Paperback ISBN:
9 7 8 - 0 - 4 4 3 - 1 8 9 5 3 - 1
eBook ISBN:
9 7 8 - 0 - 4 4 3 - 1 8 9 5 4 - 8

Precision Agriculture: Evolution, Insights and Emerging Trends presents a complete guide from foundational concepts to the economic, commercial and environmental implications of th… Read more

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Precision Agriculture: Evolution, Insights and Emerging Trends presents a complete guide from foundational concepts to the economic, commercial and environmental implications of the approach. Showcasing recent research improvements, future trends, and highlighting innovative use of machine vision, artificial intelligence, UAVs, drones, IoT and data analytics to promote sustainable agriculture, the book brings the reader up-to-date with understanding and implementing this targeted practice.

From the basic elements of agronomy to insights on reflectance and remote sensing indices, chapters use summary abstracts, case studies and real-world examples of implementing the tools of precision agriculture (PA) to demonstrate the latest advances. It includes explanations on the origin of the intra-plot variability of a culture (spatial and temporal), different types of existing sensors, controllers and site-specific management. The book further explores yield monitoring, weed, disease and pest control, automated irrigation systems, PA tools for variable rate application of inputs within the field, and data processing methods. By also exploring the economic profitability of precision farming approaches, and its utility for sustainable agriculture, Precision Agriculture: Evolution, Insights and Emerging Trends is a truly comprehensive view of this important approach to improving global agriculture production.

Scientists, researchers, policymakers, graduate and postgraduate students, and engineers in the related fields of agriculture, computer science and engineering will benefit from this book.

Cover image
Title page
Table of Contents
Copyright
Dedication
List of contributors
Foreword
Preface
List of abbreviations
Chapter 1. Precision agriculture technology: a pathway toward sustainable agriculture
1.1. Introduction
1.2. Climate change, food security, and precision agriculture nexus
1.3. Agricultural resources management
1.4. Precision agriculture tools, techniques, and technologies
1.5. This book
1.6. Conclusions
Chapter 2. Soil spatial variability and its management with precision agriculture
2.1. Introduction
2.2. Soil and crop variability
2.3. Precision agriculture
2.4. Conclusion
Chapter 3. Geospatial technologies for the management of pest and disease in crops
3.1. Introduction and objectives
3.2. Brief review of literature
3.3. Precision in pest management
3.4. Overview of scouting
3.5. Integrated pest management (IPM)
3.6. Sensing systems for detection and monitoring of pests and disease
3.7. Spatially variable rate technology for spraying
3.8. Opportunities and challenges
Chapter 4. Application of unmanned aerial vehicles in precision agriculture
4.1. Introduction
4.2. Types of UAVs
4.3. Recent advances in the UAV technology
4.4. Literature review
4.5. The UAV-based precision agriculture chemical spraying application
4.6. Artificial intelligence for UAVs
4.7. Challenges and limitations of UAV technology adoption
4.8. Conclusion
Chapter 5. Applications of geospatial technologies for precision agriculture
5.1. Introduction
5.2. Management philosophy of PA
5.3. Enabling technologies of PA
5.4. State-of-the-art conceptual system
5.5. Perceptions of digital technologies
5.6. Conclusions
Chapter 6. Precision irrigation: challenges and opportunities
6.1. Introduction
6.2. Irrigation application methods
6.3. Literature review
6.4. Existing tools and technologies for precision irrigation
6.5. Data acquisition tools
6.6. Challenges and opportunities
6.7. Conclusions
Chapter 7. Variable rate technologies: development, adaptation, and opportunities in agriculture
7.1. Introduction
7.2. Variable rate technologies development
7.3. Adaption of precision agriculture techniques
7.4. Challenges for farmers and researchers
7.5. Future of variable rate technologies
7.6. Conclusions
Chapter 8. Yield monitoring and mechanical harvesting of wild blueberries to improve farm profitability
8.1. Introduction
8.2. Factors affecting ripening of wild blueberry
8.3. Precision harvesting technologies
8.4. Factors affecting the mechanical harvesting
8.5. Fruit losses during harvesting
8.6. Conclusions
Chapter 9. Artificial intelligence and deep learning applications for agriculture
9.1. Artificial intelligence, machine learning, and deep neural networks
9.2. Machine learning approaches
9.3. Deep neural network approaches
9.4. Machine learning applications in agriculture
9.5. Case study: deep neural networks for ripeness detection in wild blueberry
9.6. Applications in precision agriculture
9.7. Conclusions and future implications
Chapter 10. Artificial neural modeling for precision agricultural water management practices
10.1. Introduction
10.2. Common machine learning problems
10.3. Common deep learning frameworks
10.4. Popular machine learning architectures
10.5. Machine learning model development steps
10.6. Application of machine learning in different hydrological fields
10.7. Ethical concerns and challenges in machine learning
10.8. A case study
10.9. Conclusion
Chapter 11. Precision agriculture: making agriculture sustainable
11.1. Introduction
11.2. Methodology
11.3. Case study of PA adoption in Punjab, Pakistan
11.4. Evaluation of factors that hamper technology adoption in agriculture
11.5. Financial and commercial sustainability of precision agriculture
11.6. Social and economic impact of precision agriculture
11.7. Conclusion
Chapter 12. Environment: role of precision agriculture technologies
12.1. Introduction
12.2. Environmental impacts of precision agriculture techniques
12.3. Potential climate change impacts
12.4. Challenges for farmers and researchers
12.5. Conclusions
Chapter 13. Precision agriculture technologies: present adoption and future strategies
13.1. Introduction
13.2. The transformation from mechanized to precision agriculture technologies
13.3. Adoptability of precision agriculture technologies in the field
13.4. Case studies from developed and developing countries
13.5. Yield improvement and farm profitability through the adoption of PA technologies
13.6. Problem/issues in adoptability of precision technologies
13.7. Future prospects of technology adoption
13.8. Conclusions
Glossary
Index

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