Precision Technologies for Digital Agriculture
Harnessing IoT, Big Data, Crop Modeling, and AI for Agricultural Production
- 1st Edition - September 1, 2026
- Latest edition
- Editors: Sushil Kumar Himanshu, Hemendra Kumar, Pankaj Kumar Gupta
- Language: English
Precision Technologies for Digital Agriculture: Harnessing IoT, Big Data, Crop Modeling, and AI for Agricultural Production covers the integration and application of advanc… Read more
- Presents practical guidance on integrating and implementing precision technologies in farming practices
- Explores technology-based solutions for improving sustainability, efficiency, and productivity in agriculture
- Includes real-world examples and case studies demonstrating the benefits and return on investment of smart precision technologies
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
- Edition: 1
- Latest edition
- Published: September 1, 2026
- Language: English
SH
Sushil Kumar Himanshu
HK
Hemendra Kumar
PG
Pankaj Kumar Gupta
Dr. Pankaj Kumar Gupta is a Ramanujan fellow at the Indian Institute of Technology (I.I.T.) Delhi, India and post-doctoral fellow in the faculty of environment, University of Waterloo, Canada. His current research focuses on investigating the behavior of pollutants in peatlands (Canada) and mineral aquifers (India) under dynamically fluctuating groundwater table conditions. Majority of his works focus on two areas: (1) understanding the occurrence of bio-geo-chemical interactions when pollutants migrate into groundwater systems; and (2) developing remediation strategies. Dr. Gupta hsa in-depth experience in incorporating novel technologies to map soil-water systems in more than 30sites in India. He is passionate about interdisciplinary research and teaching to understand multi-scale interactions between different components of the subsurface environment, especially the soil- groundwater-pollutant-microbes system.