<p style="text-align:justify"><em>Agro-Cyber Intelligence: Harnessing AI and Biowaste for Sustainable Agriculture</em> presents a comprehensive exploration of the transformation of agriculture through artificial intelligence, digital technologies, and sustainable resource management. The book addresses pressing global challenges such as climate change, resource depletion, and food security by integrating concepts of precision agriculture, cyber-physical systems, and circular economy approaches. It highlights the role of AI in enabling smart farming, predictive analytics, and automated decision-making, while also emphasizing the value of biowaste utilization for creating sustainable and economically viable agricultural solutions. Structured into thematic sections, the book covers foundational principles of digital agriculture, biowaste valorisation, AI-driven analytics, blockchain applications, and real-world case studies. It also discusses policy frameworks and socio-economic implications of Agri-tech innovations. Designed for students, researchers, professionals, and policymakers, this volume bridges theory and practice, promoting interdisciplinary collaboration and supporting the development of resilient, intelligent, and environmentally sustainable food systems for the future.</p>

Dr. Gunjan Chhabra is an accomplished academician, researcher, and innovator with over a decade of extensive experience in the field of Computer Science and Engineering. Currently working as an Associate Professor at School of Science and Technology, SRHU, Dehradun. He has consistently demonstrated excellence in teaching, research, and academic leadership. His academic journey is marked by a Ph.D. in Computer Science, complemented by a strong foundation in software systems, intelligent technologies, and emerging areas like Artificial Intelligence (AI), Internet of Things (IoT), and Human-Computer Interaction (HCI). Dr. Chhabra’s research interests span interdisciplinary domains, including healthcare technologies, biofield analysis, smart systems, and ethical AI. His contributions are recognized globally, with invitations to serve as a reviewer, editorial board member, and guest editor for prestigious journals and conferences.

Dr. Deepak Gupta is an Assistant Professor Research in R&D cell of GEHU, Dehradun with a diverse academic and professional background spanning over eight years. He holds a Ph.D. in Production Engineering from G. B. Pant University of Agriculture and Technology, complemented by an M.Tech. in Manufacturing System Engineering from Malaviya National Institute of Technology (MNIT) Jaipur, and a B.Tech. in Mechanical Engineering from Institute of Engineering & Technology, (Govt. College) Faizabad (Now Ayodhya). Dr. Gupta’s research interests encompass, agriculture waste, BioComposite Materials, Ergonomics, and Industrial and Production Engineering. Dr. Gupta has actively engaged in research projects and has made substantial contributions to the field, as evidenced by his prolific publication record in high impact journals. His research outputs cover a wide array of topics, including agriculture waste, bio-composites, development of composite wound dressings, and advancements in medical device applications. Notably, his work has been published in reputable SCI journals and publications. Dr. Gupta’s publications underscore his commitment to scholarly dissemination and academic excellence.

Dr. Shashi Bhushan, a PhD in Computer Science & Engineering, has over 15 years of experience in academics and research. Currently working in Department of Computer & Information Sciences (CIS), Universiti Teknologi PETRONAS, Malaysia. Area of specialization includes but not limited to Wireless Sensor Network, IoT, AIML, Deep Learning. He has delivered several guest lectures, seminars and chaired the session at various reputed international conferences. He has published more than 60 research articles and books in indexed journals and reputed conferences. He edited several journal issues from the most famed publishers like Springer, Bentham Science, Taylor & Francis, and Elsevier, etc. He is also serving as a Reviewer and Editorial Board Member of many reputed Journals.

Dr. Arun K. Chaudhary holds a Ph.D. in Mechanical Engineering from G.B. Pant University of Agriculture and Technology, Pantnagar, with his doctoral research focused on the "Biocomposites". He is currently serving as an Associate Professor in the Department of Industrial & Production Engineering at the College of Technology, G.B. Pant University, where he has been a faculty member since 2007. With over 22 years of teaching experience in engineering education, he has contributed significantly to the fields of biocomposites, welding technologies, and advanced materials. Dr. Chaudhary has guided numerous undergraduate, postgraduate, and doctoral students in their research projects. He is a reviewer for various international journals, including Science and Engineering of Composite Materials, Applied Composite Materials, and Journal of Solid Mechanics. He has co-authored a book titled Introduction to Engineering Workshops and holds patents related to solar irradiance forecasting systems and all-terrain vehicles. Additionally, Dr. Chaudhary has been actively involved in his research interests include natural fiber-reinforced composites, welding technologies, and sustainable manufacturing processes.

<p style="text-align:justify"><strong>Chapter 1.</strong> Agri-Tech Evolution: Bridging Binary Code and Cultivation.<br /> <strong>Chapter 2.</strong> AI-Driven Transformation of Future Farming.<br /> <strong>Chapter 3.</strong> Role of Artificial Intelligence in Crop and Soil Intelligence.<br /> <strong>Chapter 4.</strong> Smart Soil and Crop Health Monitoring: A Disruptive IoT-AI Framework for Sustainable Precision Farming.<br /> <strong>Chapter 5.</strong> Real-Time Mango Ripeness Prediction via YOLOv8 Object Detection and Swin Transformer Models.<br /> <strong>Chapter 6.</strong> A Strategic Roadmap for Machine Learning Integration in Global Agronomic Systems.<br /> <strong>Chapter 7.</strong> Precision Agronomic Optimization Integrating IoT Edge Computing and Circular Bioeconomy.<br /> <strong>Chapter 8.</strong> Integrating Life Cycle Assessment and Machine Learning for Biowaste-based Products.<br /> <strong>Chapter 9.</strong> Leveraging SDOH for Disease Prediction using LightGBM, Bagging Ensemble, and Elastic-Net Logistic Regression.<br /> <strong>Chapter 10.</strong> Biowastes in Agriculture: Sources, Challenges and Opportunities.<br /> <strong>Chapter 11.</strong> Farm Biowaste into Profits: Making Waste Part of Farming in a Climate and Sustainable Bioeconomy.<br /> <strong>Chapter 12.</strong> Implementation of Technical Systems in the Circular Economy in Agriculture.<br /> <strong>Chapter 13.</strong> Vermicomposting for Circular Agriculture in Kanpur Dehat: A Sustainable Model for Biowaste Management.<br /> <strong>Chapter 14.</strong> A Case Study in the Textile Sector for Circular Economy as a Pathway to Sustainability.<br /> <strong>Chapter 15.</strong> Optimized System Architecture for IoT-Based Fitness Tracking: Real-Time Exercise Recognition Using Arduino and Edge AI.<br /> <strong>Chapter 16.</strong> Securing Smart Agriculture Technologies: Analyzing Cyber Security Threats and Risk Mitigation Strategies.<br /> <strong>Chapter 17.</strong> Novel Framework Using Artificial Intelligence and Machine Learning for Cybersecurity and Risk Management in Smart Agritech Systems.<br /> <strong>Chapter 18.</strong> Cybersecurity and Risk Management in Smart Agritech Systems.<br /> <strong>Chapter 19.</strong> Transforming Agri-Food Traceability and Biowaste Transparency with Blockchain.<br /> <strong>Chapter 20.</strong> Blockchain-Enabled Traceability Systems for Biowaste Management in Smart Agriculture: A Cyber-Physical Approach.</p>