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Add to basketItem description from seller
T. Chandrakumar is a Professor of Data Science in the Department of Applied Mathematics and Computational Science at Thiagarajar College of Engineering (TCE), Madurai, Tamil Nadu, India. His scholarly work spans diverse domains including agricultu.
Seller Inventory # 3137119622
- Title
- Digital Farming
- Publisher
- CRC Press
- Publication year
- 2026
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1032767251
- ISBN 13
- 9781032767253
This book explores IoT-based ecosystems and AI-driven automation in agriculture to provide solutions for intelligent farming systems and precision agriculture techniques. It provides a comprehensive view of emerging technologies’ integration and the resultant impact on the farming ecosystem. Real-world case studies and examples of IoT and AI applications in agriculture are included to show how IoT and AI have revolutionized conventional agriculture. The book also examines the potential and difficulties of deploying IoT and AI in the agricultural business with case studies.
Features:
- Demonstrates how technologies like precision agriculture, smart sensors, and automated systems can be utilized to boost production, reduce waste, and increase sustainability by optimizing resource usage and reducing environmental impact
- Explains how small sensors, intelligence drones, or low-power Internet of Things setups for detecting, monitoring, gathering, analyzing, and storing data through cloud platforms are encouraging smart and intelligent agriculture
- Highlights IoT and AI intervention options for effective assessment of musculoskeletal, ergonomic, and postural analyses
- Explains usage of AI and IoT in precision farming, agricultural drones and hopping systems, livestock monitoring, temperature monitoring, smart greenhouses, and computer imaging
- Discusses challenges like data security, rural connectivity issues, infrastructure limitations, and the digital divide in rural areas
The book is a helpful reference for professionals, scholars, and students interested in digital farming and sustainable agricultural practices. It acts as a guiding tool for practitioners, researchers, educators, and policymakers, encouraging discussions, innovations, and advancements that will shape a sustainable, efficient, and resilient future for agriculture.
"Synopsis" may belong to another edition of this title.
About the Author
T. Chandrakumar is a Professor of Data Science in the Department of Applied Mathematics and Computational Science at Thiagarajar College of Engineering (TCE), Madurai, Tamil Nadu, India. His scholarly work spans diverse domains including agricultural informatics, biomedical image processing, enterprise systems, and intelligent computing, reflecting strong interdisciplinary expertise.
Bhisham Sharma is currently working at the Centre of Research Impact and Outcome (CRIO), Chitkara University, Punjab, India. His research interests span Wireless Communication, Wireless Sensor Networks, Wireless Mesh Networks, Next Generation Networking, Network Security, Internet of Things, UAV, Medical Image Processing, Artificial Intelligence, Deep Learning, Machine Learning, and Edge/Fog Computing.
Subrata Chowdhury is an Associate Professor in the Department of Computer Science and Engineering, Sri Venkateswara College of Engineering & Technology, Andhra Pradesh, India.
Khaled Rabie is currently a Distinguished Associate Professor with the Computer Engineering Department at King Fahd University of Petroleum & Minerals (KFUPM), Saudi Arabia. His current research interests focus on designing and developing next-generation wireless communication systems.
"About the title" may belong to another edition of this title.
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