1st Edition
Digital Farming Case Studies and Applications of IoT and AI in Agricultural Industry
Chapter 1. Applications of Artificial Intelligence (AI) and IoT in Smart Farming
Nidhi Goel, Pradeepta Kumar Sarangi, Lekha Rani, Atul Garg
Chapter 2. Integrating Blockchain for Enhanced Paddy Disease Traceability: A Conceptual Model
Johnson, Chandrakumar, Tran Duc Tan
Chapter 3. Glucose Biosensors for Diabetes Monitoring: Fundamentals and Latest Technological Developments
Vijay Kumar Anand, Kapil Bhatt, Sunil Kumar, Sanjay Sharma
Chapter 4. Agriculture Drones and Hopping systems
Harpreet Kaur, Arindham Sharma, Vanshika Oberoi, Kassian T.T. Amesho
Chapter 5. Applications and Challenges of Metaverse in the Agriculture Sector: A Review
Sharvari Patil, Bharati Navale, Dhanashri Sanadkumar Havale, Alex Khang
Chapter 6. Enhancing a Predictive Model for Forecasting Paddy Seed Yields Using Generative Techniques
Dhinakaran Sakthipriya, Thangavel Chandrakumar, Sioni Iikela, Siva Sri Varshini S
Chapter 7. Cost Efficiency and Environmental Impact of Agribots in Modern Farming
Subir Gupta
Chapter 8. Impact of Agribots on Agricultural Productivity and Market Performance
Saurav Kumar, Pritam Mandal, Ashish Kumar Jha, Bonesha Shit, Abhik Choudhary, Subir Gupta
Chapter 9. Smart Farming and Cyber Security: Safeguarding Agricultural Data and Infrastructure
Saheli Sahoo, Prabakaran N.
Chapter 10. A Crop Cultivation Optimization Method Based on Digital Twins
Srinivas Thirumala, P. Balaji Srikaanth, Chitra Murugan, Pal Pandian P, K. Raju
Chapter 11. Revolutionizing Agriculture: Harnessing the Power of AI for Precision Farming and Sustainable Crop Management
Karthika Natarajan, Sheela Jayachandran, Janet B., Timoteus Kadhila
Chapter 12. AgriSCM: A Blockchain-Powered Agricultural Supply Chain Management
Amrutanshu Panigrahi, Abhilash Pati, Bibhuprasad Sahu, Bibhu Dash, Manoranjan Dash, Indusekhar Samanta, D Sumarlin Shangdiar
Chapter 13. RoseLeafNet: A Novel Deep Learning Framework for Real-Time Detection and Classification of Rose Leaf Diseases Based on MobileNetV3
Murugesh, Subrata Chowdhury, Kassian T.T. Amesho
Biography
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.
