Harvesting Data Blockchain, AI and Advanced Innovations in Agriculture

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.

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.