Sustainable Agriculture Production Using Blockchain Technology (eBook, ePUB)
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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…mehr

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Produktbeschreibung
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.

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Autorenporträt
Rekh Ram Janghel, PhD is an Assistant Professor in the Department of Information Technology at the National Institute of Technology. He has published more than 30 research papers in national and international journals and conferences and two book chapters. His areas of research include deep learning, machine learning, biomedical healthcare systems, expert systems, neural networks, hybrid computing, and soft computing. Rajesh Doriya, PhD is an Assistant Professor in the Department of Information Technology at the National Institute of Technology with more than ten years of experience. He has authored over 50 research papers published in international journals and conferences. His research interests include distributed computing, cloud computing, artificial intelligence, robotics, soft computing techniques, and network security. Jaykumar Lachure is pursuing a PhD in the Department of Information Technology at the National Institute of Technology. He has published more than 15 research papers in national and international journals and conferences and two book chapters in reputed publications. His interests include cyber physical systems, security, precision agriculture, quantum computing, blockchain, pattern recognition, image processing, and video processing. Yogesh Kumar Rathore is an Assistant Professor in the Department of Computer Science Engineering at the Shri Shankaracharya Institute of Professional Management and Technology with more than 16 years of experience. Raipur. He has published more than 40 research papers in various conferences and journals, many book chapters, and two patents. His interests include pattern recognition, image processing, video processing, deep learning, machine learning, and artificial intelligence.