Digital Farming: Case Studies and Applications of IoT and AI in Agricultural Industry: Chapman & Hall/CRC Internet of Things
Editat de T. Chandrakumar, Bhisham Sharma, Subrata Chowdhury, Khaled Rabbieen Limba Engleză Hardback – 7 oct 2026
Features:
- Demonstrates how technologies like precision agriculture, smart sensors, automated systems can be utilized to boost production, reduce waste, and increase sustainability by optimizing resource usage, 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 Musculoskeletal, ergonomic, and postural analyses are included.
- 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.
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Specificații
ISBN-13: 9781032767253
ISBN-10: 1032767251
Pagini: 312
Ilustrații: 204
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Internet of Things
ISBN-10: 1032767251
Pagini: 312
Ilustrații: 204
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Internet of Things
Public țintă
AcademicCuprins
Chapter 1. Applications of Artificial Intelligence (AI) and IoT in Smart Farming. Chapter 2. Integrating Blockchain for Enhanced Paddy Disease Traceability: A Conceptual Model. Chapter 3. Glucose Biosensors for Diabetes Monitoring: Fundamentals and Latest Technological Developments. Chapter 4. Agriculture Drones and Hopping systems. Chapter 5. Applications and Challenges of Metaverse in the Agriculture Sector: A Review. Chapter 6. Enhancing a Predictive Model for Forecasting Paddy Seed Yields Using Generative Techniques. Chapter 7. Cost Efficiency and Environmental Impact of Agribots in Modern Farming. Chapter 8. Impact of Agribots on Agricultural Productivity and Market Performance. Chapter 9. Smart Farming and Cyber Security: Safeguarding Agricultural Data and Infrastructure. Chapter 10. A Crop Cultivation Optimization Method Based on Digital Twins. Chapter 11. Revolutionizing Agriculture: Harnessing the Power of AI for Precision Farming and Sustainable Crop Management. Chapter 12. AgriSCM: A Blockchain-Powered Agricultural Supply Chain Management. Chapter 13. RoseLeafNet: A Novel Deep Learning Framework for Real-Time Detection and Classification of Rose Leaf Diseases Based on MobileNetV3
Notă biografică
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.
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.
Descriere
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.