1st Edition
Blockchain and Digital Twin Applications in Smart Agriculture
Chapter 1 Introduction of Blockchain in Smart Agriculture
Roopa Devi E. M., Shanthakumari R, Dhanushya S, and Kiruthika G
Chapter 2 Smart Agriculture and Digital Twins: A Vision of Sustainability
B. Santhoshini and M. Shanmugam
Chapter 3 Digital Twins for the Agriculture Sector
Hrishikesh Kokate, Abhijit Vhatkar, and Alex Khang
Chapter 4 AI-Enabled Blockchain for Livestock Tracking and Health Management in Smart Agriculture
Ruchi Jakhmola Mani, Naman Kapoor, Harsh Kashyap, Abhishake Shukla, and Deepshikha Pande Katare
Chapter 5 A Blockchain-Enabled Framework to Enhance Cybersecurity Challenges in Smart Agriculture
Joseph Bamidele Awotunde, Abidemi Emmanue Adeniyi, Peace Busola Falola, and Temitayo Caroline Adeniran
Chapter 6 Transformative Potential: IoT, Cloud, Big Data, and AI-Driven Blockchain Digital Twins in Agriculture
Garima Jain, Ankush Jain, Anuj Jaiswal, Shakeel Ahmad, Vinod M. Kapse, and Sovers Singh Bisht
Chapter 7 Blockchain Implementation in IoT-Digital Twin-Based Crop Production
Ushaa Eswaran, Vivek Eswaran, Keerthna Murali, and Vishal Eswaran
Chapter 8 Digital Twin Applications in the Agriculture and Farming Domain
Sivaretinamohan R
Chapter 9 Blockchain-Enabled Security Framework for Smart Agriculture: Harvesting Smart Agriculture Supply Chains Transformed by Blockchain Efficiency
Maheswari R, Pattabiraman V, and Basim Alhadidi
Chapter 10 A Systematic Review of Plant Leaf Disease Identification Using Image Search Engines
D Kavitha, Sanjay M, Pillaram Manoj, Benjamin Roy, and Parth Vadera
Chapter 11 Precision Agriculture: Navigating the Future of Farming with Artificial Intelligence
Peace Busola Falola, Joseph Bamidele Awotunde, Abidemi Emmanuel Adeniyi, and Folashade Titilope Ogunajo
Chapter 12 Smarter Yields, Sustainable Practices: Predictive Modelling for Informed Decision Making in Smart Farming
Ruchi Jakhmola Mani, Saba Masood, Piyush Bhalerao, and Deepshikha Pande Katare
Chapter 13 Tech-Driven Harvest: Blockchain’s Role in Sustainable Food Systems and Waste-Free Future
Ruchi Jakhmola Mani, Suyashi Singh, Subham Sonu, and Deepshikha Pande Katare
Chapter 14 Digital Twins for the Agriculture Sector
Savita Sheoran and Ritika
Chapter 15 Smart Farming with “Blockchain”: Revolutionizing Medicinal Plant Cultivation
Rati Kailash Prasad Tripathi
Chapter 16 Insights into Coral Reefs of the Western Indian Ocean: A Comprehensive Analysis of Habitat Classification, Forecasting Taxa Changes, and Explainable AI-Driven Health Assessment
Tanvi Bahedia, Sparsh Wabhale, S A Sajidha, and Aakif Mairaj
Chapter 17 Farm Easy-Smart Farming Practices for Sustainable Agriculture
N. C. Brintha, J. T. Winowlin Jappes, Arivendan Ajithram, and Yegnanarayanan Venkataraman
Chapter 18 Blockchain and Digital Twin Applications in Precision Agriculture: A Comprehensive Approach
Kanthavel R, S. Krithikaa Venket, Anju A, Adline Freeda R, Dhaya R, Frank Vijay, and Joseph Fisher
Chapter 19 Effective Deep Learning-Based Agricultural Models for Classifications of Plant Diseases
Pramit Brata Chanda, Subir Kumar Sarkar, and Surajit Naskar
Chapter 20 Enabling Blockchain in Digital Twins for Decentralized Supply Chain Traceability and Crop Growth Optimization
Naveen Raj Y, Sudha G, and J. Jayanthi
Biography
Amit Kumar Tyagi is an assistant professor, Department of Fashion Technology, National Institute of Fashion Technology, New Delhi. He earned a Ph.D. from Pondicherry Central University, India. He has worked as assistant professor and senior researcher at the School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India.
Shrikant Tiwari received his Ph.D. from the Department of Computer Science & Engineering at the Indian Institute of Technology (Banaras Hindu University), Varanasi, India. Currently, he is an associate professor in the School of Computing Science and Engineering (SCSE), Galgotias University, Greater Noida, India. He has authored or co-authored more than 50 national and international journal publications, book chapters, and conference articles. He has five patents filed to his credit. His research interests include machine learning, deep learning, computer vision, medical image analysis, pattern recognition, and biometrics. Dr. Tiwari is a FIETE, a senior member of the IEEE, and member of ACM, IET, CSI, ISTE, IAENG, and SCIEI.
