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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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Request a sales quotePrecision 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.
- Addresses soil, machinery, plants, irrigation, sensors, UAVs and more
- Explores current and future technologies in the field of Precision Agriculture
- Details comprehensive cost-benefit analysis for governments and other policymakers to incentivize and promote precision agriculture technology
Those actively applying agricultural practices for research, engineering and academics in fields related to agriculture, agriculture and electro-mechanical engineering, computer science, and other ICT fields, Undergraduate and certificate program students
- 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
- No. of pages: 290
- Language: English
- Edition: 1
- Published: May 18, 2023
- Imprint: Academic Press
- Paperback ISBN: 9780443189531
- eBook ISBN: 9780443189548
QZ
Qamar Zaman
Qamar Zaman is a professor of precision agriculture at the Department of Engineering, Faculty of Agriculture, Dalhousie University, Canada, and the vice-chancellor of the University of Arid Agriculture Rawalpindi, in Pakistan. He has authored more than 100 scientific research publications, several industry presentations and has reviewed and refereed research projects, papers, books, and articles from various journals and organizations. Dr. Zaman has over twenty-five years of experience in teaching, research and extension in precision agriculture from various national and international universities and international organizations, including the University of Agriculture (Pakistan), the University of New Castle upon Tyne (England), the University of Florida (USA), Tokyo University of Agriculture and Technology (Japan), and Dalhousie University (Canada).
Affiliations and expertise
Professor of Precision Agriculture, Department of Engineering, Faculty of Agriculture, Dalhousie University, Canada, Vice-Chancellor, University of Arid Agriculture Rawalpindi, PakistanRead Precision Agriculture on ScienceDirect