Overview

Cultivate a more profitable and sustainable future for your agricultural operations with this essential book, which provides expert insights and real-world examples of how blockchain technology can revolutionize food safety, supply chain transparency, and market access for farmers globally. As global populations grow and environmental concerns rise, agriculture faces the dual challenges of increasing productivity and sustainability. Blockchain technology offers innovative solutions to these challenges by enhancing traceability, efficiency, and transparency in agricultural processes. This book delves into how blockchain can revolutionize various aspects of agriculture, from supply chain management to farm operations and market access. It addresses critical topics such as improving food safety through real-time traceability of produce from farm to fork, reducing fraud by securely recording transactions, and facilitating fair trade practices by providing transparent access to information across the value chain. The book also examines the economic implications of blockchain in agriculture, highlighting how this technology can help reduce costs, increase profitability, and provide small-scale farmers with better access to global markets. Additionally, it discusses the role of smart contracts in automating agricultural agreements and payments, reducing the need for intermediaries and enhancing the efficiency of operations. By focusing on practical applications and forward-looking innovations, this book aims to inform and inspire stakeholders in the agricultural sector to embrace blockchain technologies. Through a blend of expert insights and real-world examples, it paints a vivid picture of how blockchain can cultivate a more efficient, transparent, and sustainable future for agriculture.

Full Product Details

Author:   Narayanan Ganesh (Vellore Institute of Technology Chennai Campus, India) ,  Kanak Kalita (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India)
Publisher:   John Wiley & Sons Inc
Imprint:   Wiley-Scrivener
ISBN:  

9781394310609

ISBN 10:   1394310609
Pages:   352
Publication Date:   18 February 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock  
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Table of Contents

Preface xiii Part I: Blockchain Innovations in Agricultural Practices 1 1 Agriculture Meets Blockchain for Crop Monitoring and Prediction Using Machine Learning Techniques 3 D. Kavitha, Merin Varghese and Parth Vadera 2 Role of Machine Learning in Blockchain for Predictive Analysis 29 Dhivya Bharathi M., Leninisha Shanmugam and M. Sandhya 3 Agriculture Manure Data Analysis Using Real-Time Cryptocurrency 45 Parvathi R., Pattabiraman V. and Xiaohui Yuan 4 Future Agricultural Landscape Development: A MADM Model for Analysis 77 Ramakrishna Regulagadda, Syed Ziaur Rahman, Nallamala Sri Hari, Valeti Nagarjuna, Kolliboyina Hari and Sivudu Macherla 5 Cultivating Connectivity: Bridging Communities Through Farm Management Systems 99 Leninisha S., Riya Bansal V., Sai Lakshana S. and Krijay M. Part II: Blockchain in Agricultural Supply Chain and Traceability 109 6 Comprehensive Review of Blockchain-Oriented Methods in Agricultural Supply Chain Management 111 Pandiyaraju V., Thangaramya K., Kannan A. and Nikhil Nair 7 Revolutionizing Agricultural Supply Chains with Blockchain for Enhancing Transparency, Efficiency, and Traceability 131 Arun Kumar Sivaraman, Rajiv Vincent, Janakiraman Nithiyanantham, Thirumurugan Shanmugam, Kong Fah Tee and Ajmery Sultana 8 Cultivating Trust: How Blockchain is Reshaping Agriculture's Supply Chain Landscape 155 Kalyanasundaram V., Keerthi A.J. and G. Prethija 9 Deep Learning-Based Supply-Chain Re-Traceability of Tea Leaves in a Permissioned Blockchain 183 Sandhya P., Ganesan R., Kalyanasundaram V., R. Srivats and Amogh Singh 10 Prohibition of Illegal Movement of Sandalwood from Reserve Forests through Retracing Supply Chain on a Permissioned Blockchain 207 Sandhya P., Ganesan R., Rama Parvathy L., R. Srivats, Kalyanasundaram V. and Amogh Singh Part III: Advanced Technologies in Smart Agriculture 235 11 Enhanced Food Calorie Estimation: Multi-Layer Perceptron Versus K-Nearest Neighbors 237 Affan S.K. and Muneeshwari P. 12 Accuracy Comparison of Enhanced Multi-Layer Perceptron and Polynomial Regression in Food Calorie Measurement 249 Affan S.K. and Muneeshwari P. 13 Effective Recommendation of Nutritious Food Using Random Forest Classifier in Comparison with Multi-Layer Perceptron Classifier Algorithm 263 J. Rishi Kannan and N. Bharatha Devi 14 Smart Pest Identification in Agriculture: Leveraging CNN Classifier Over SVM for Leaf Health Analysis 275 Bobbilla Ramya Sri and V. Karthick 15 Role of Artificial Intelligence in Weed Detection and Prevention 285 K. Arunkumar, S. Leninisha and M. Sandhya Discussions and Conclusion 312 Bibliography 313 About the Editors 325 Index 327

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Author Information

Narayanan Ganesh, PhD is a Senior Associate Professor at the Vellore Institute of Technology’s Chennai Campus with nearly two decades of experience in teaching, training, and research. He has published more than 30 articles, written eight textbooks, and filed two Australian patents. His research encompasses a range areas, including software engineering, agile software development, prediction and optimization techniques, deep learning, image processing, and data analytics. Kanak Kalita, PhD is an Associate Professor in the Department of Mechanical Engineering at Vel Tech University with more than ten years of experience. He has authored more than 200 articles and edited more than eight book volumes. His research interests encompass machine learning, fuzzy decision making, metamodeling, process optimization, and composites.

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