Sustainable Agriculture Production Using Blockchain Technology

Rekh Ram Janghel, Rajesh Doriya, Jaykumar Lachure, Yogesh Kumar Rathore

• Publisher: Wiley-Scrivener
• Year: 2026
• Print ISBN: 9781394248674
• eBook ISBN: 9781394248681
• Edition: 1
• Topic: Technology & Engineering
• Index: Technology & Engineering

Revolutionize the agricultural supply chain with this essential guide, which provides the practical knowledge to leverage blockchain technology for transparency, traceability, and trust, alongside AI for overcoming modern farming challenges.

As technology continues to advance, agriculture has begun to implement digital computing and data-driven innovations. This surge of smart farming has resulted in a variety of improvements, including automated equipment and data collection of soil quality, seed quality, fertilizer, pests, climate, and the supply chain in agriculture. As connectivity and data management continue to revolutionize the farming industry, it is essential for researchers to study these technological advances.

This book offers a unique opportunity to revolutionize the supply chain in the agricultural industry, emphasizing the growing role blockchain technology plays. It explores how blockchain enables transparency, traceability, and trust in the agricultural supply chain, from production to distribution. The book also discusses the ethical and social impact of implementing AI and blockchain in agriculture, addressing data privacy, algorithmic bias, and community empowerment. By exploring the integration of AI and blockchain in agriculture, this book serves as a practical guide to overcoming the modern challenges this industry faces.

Table of contents

• Cover
• Table of Contents
• Series Page
• Title Page
• Copyright Page
• List of Figures
• List of Tables
• Preface
• 1 A Critical Review of Ethical Challenges in the Use of Deep Learning, Blockchain, and Big Data in Agriculture
• 2 Agriculture Supply Chain Management System Using Blockchain
• 3 Crop Product Health Management System Using DL, Precision Irrigation System Using Internet of Things and DL/ML
• 4 Soil Nutrient Analysis and Optimization Using DL/ML Techniques
• 5 Weather Forecasting and Crop Yield Prediction Using AI/ML Models
• 6 Fertilizer Quality Ensure Certification Using Blockchain
• 7 Leaf Health Classification Using Deep Learning and Machine Learning Approaches
• 8 Pest Detection in Plants Using Advanced Deep Learning Techniques
• 9 A Technological Turn in Agriculture: Digital Pathways and Innovations
• 10 Smart Crop Health Monitoring and Precision Irrigation with IoT-Driven Systems
• 11 Integrating IoT, Sensors, and Machine Learning for Enhancing Crop Yield and Irrigation Efficiency Systems
• 12 Introduction to Digital Transformation in Agriculture: Trends and Opportunities
• 13 Smart Farming Technologies: IoT, Sensors, and Data Analytics
• 14 Artificial Intelligence and Machine Learning Applications in Precision Agriculture
• 15 Big Data and Cloud Computing for Agricultural Decision Support
• 16 Cybersecurity Threats in Digital Agriculture: An Emerging Concern
• 17 Risk Assessment and Cybersecurity Strategies for Agricultural Systems
• 18 Blockchain Technology for Traceability and Security in Agri-Food Supply Chains
• 19 Policy and Regulatory Frameworks for Secure Digital Agriculture
• 20 Case Studies of Smart Farming Implementations and Security Solutions
• 21 Sustainable Agriculture and Environmental Impacts of Digital Technologies
• 22 Future Directions and Challenges in Smart Agriculture and Cybersecurity
• About the Editors
• Index
• Also of Interest
• End User License Agreement