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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.
List of contents
1. Precision Agriculture Technology: A Pathway Toward Sustainable Agriculture
2. Soil Spatial Variability and its Management with Precision Agriculture
3. Geospatial Technologies for the Control of Pest and Disease in Crops
4. Application of Unmanned Aerial Vehicles in Agriculture
5. Applications of Geospatial Technologies for Precision Agriculture
6. Precision Irrigation: Challenges and Opportunities
7. Variable Rate Technologies Development, Adaptation and Opportunities in Agriculture
8. Yield Monitoring and Precision Harvesting to Improve Farm Profitability Topics and Subtopics
9. Artificial Intelligence and Deep Learning Applications for Agriculture
10. Artificial Neural Modeling for Precision Agricultural Water Management Practices
11. Precision Agriculture: Making Agriculture Sustainable
12. Environment: Role of Precision Agriculture Technologies
Adoption of Precision Agriculture Technologies
About the author
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).
