Precision Technologies for Digital Agriculture : Harnessing IoT, Big Data, Crop Modeling, and AI for Agricultural Production

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Precision Technologies for Digital Agriculture : Harnessing IoT, Big Data, Crop Modeling, and AI for Agricultural Production

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 400 p.
  • 言語 ENG
  • 商品コード 9780443405136

Full Description

Precision Technologies for Digital Agriculture investigates the growing role of computational and connected approaches in contemporary agricultural environments, bringing together recent findings in artificial intelligence, sensing infrastructures, agroecosystem modeling, and data analytics to illustrate decisive shifts toward more accurate, forward-looking, and responsive decision-making.
Early chapters set out the theoretical and technical underpinnings of digital and precision agriculture, addressing automation, data stewardship, privacy, and the development of dependable AI‑based tools. These foundations support a detailed overview of key technological building blocks, including remote and proximal sensing, geospatial platforms, machine vision, digital twins, and the Internet of Living Things, with emphasis on their contribution to integrated system management and optimized resource allocation.
Later sections concentrate on applied methods across field operations. Topics include climate‑adaptive, smart irrigation, soil and microbial diagnostics, UAV‑enabled monitoring, and algorithmic frameworks to yield estimation and nutrient regulation. Across these chapters, attention is given to both implementation constraints and enabling factors, including interoperability, data security, and scalability.
The volume concludes with regionally grounded case studies and economic assessments that explore adoption strategies, governance arrangements, and cost-benefit considerations across diverse crops and production settings. Together, these cutting-edge analyses provide a structured assessment of how digital technologies are being translated into transformative agricultural practice, and of the contextual conditions under which their effective use can be fully realized.

Contents

Section I: Introduction to Smart Precision Technologies for Digital Agriculture
1. Smart Agricultural Technologies: Challenges and Opportunities from Fields to the Future
2. Advancements in Agricultural Automation: Smart Greenhouses and Controlled Environment Agriculture
3. Data Sharing, Privacy, and Management Strategies and Security Protocols for Smart Agricultural Systems
4. Trustworthy Artificial Intelligence for Digital Agriculture
5. Precision Farming with the Internet of Everything

Section II: Computer Vision of Digital Tools and Sensing Technologies for Modern Agriculture
6. Harnessing Remote Sensing and GIS in Precision and Digital Agriculture
7. Integration of Computer Vision for Smart Agriculture: Fundamentals and Applications
8. Emergence and Application of Internet of Living Things (IoLT) in Precision Farming
9. Enhancing Crop Management with Digital Twin Technology
10. Predicting Crop Yield and Nutrient Needs Using Explainable AI for Precision Agriculture

Section III: Implementation and Deployment of Smart Agricultural Technologies for Informed Decision-Making
11. Physical-Based Crop Modelling for Climate- and Water-Smart Irrigation Management
12. Metagenomics: The Next-Generation Tools for Monitoring Soil Microbial Communities and Managing Soil Health
13. Next-Gen Data-Driven Precision Irrigation: Application of Artificial Intelligence with In-Situ and Remote Sensing Measurements for Management Zones and VRI Technologies
14. Optimizing UAV Spray Application for Pesticide Deposition in Watermelon Production Systems in the Mid-Atlantic
15. Real-World Applications of Smart Technologies in Farming

Section IV: Case Studies and Economic Analysis of Smart Agricultural Solutions
16. Integrating Crop Modeling-Based Climate Predictions to Optimize Planting Dates for Sustainable Crop Productivity of Mustard (Brassica juncea L.)
17. Assessment of the Benefits, Costs, and Factors Affecting the Adoption of Traceability System in Rice
18. Smart Agriculture Technologies in Bangladesh: Current Status, Adoption and Policy Implications
19. Prioritization of Erosion-Prone Areas for Conservation Treatments Using Sediment Yield Index: A Case Study of the Lower Subansiri Dam Project
20. Leveraging Drone Technology for Agri-Chemical Spraying and Locust Control: Policy Insights from the Vidarbha Region of Maharashtra, India