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This book explores how modern technologies are changing the way we farm and produce food. It brings together a wide range of smart farming tools and digital solutions that are shaping the future of agriculture. The book covers both the opportunities and challenges that come with using technology in farming and offers practical solutions. The chapters begin with an introduction to the AgriTech revolution and the basic concepts of agricultural technology. It then explores precision agriculture and how computer vision, IoT, and artificial intelligence are helping farmers improve productivity.…mehr
This book explores how modern technologies are changing the way we farm and produce food. It brings together a wide range of smart farming tools and digital solutions that are shaping the future of agriculture. The book covers both the opportunities and challenges that come with using technology in farming and offers practical solutions.
The chapters begin with an introduction to the AgriTech revolution and the basic concepts of agricultural technology. It then explores precision agriculture and how computer vision, IoT, and artificial intelligence are helping farmers improve productivity. Readers will also learn about robotics, automation, data analytics, and data visualization in agriculture. Other chapters discuss the role of blockchain in the supply chain, remote sensing, and smart greenhouses. The final chapters focus on sustainability and future trends in AgriTech.
This book is a valuable resource for students, researchers, academicians, and professionals who want to understand how advanced technologies are applied in modern farming. It will also benefit those interested in building solutions for digital agriculture and smart farming systems.
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Autorenporträt
Dr. Siddharth Singh Chouhan currently working as a Senior Assistant Professor in School of Computing Science and Engineering, VIT Bhopal University, Kothri-Kalan, Sehore, Madhya Pradesh, India. He has completed Ph.D. in Computer Science and Engineering from Shri Mata Vaishno Devi University Katra, UT of Jammu and Kashmir, India. He is a Post Doctorate from the University of Malta, Europe. He has received a B.Tech. degree in 2010 and an MTech. degree in 2013 in Computer Science and Engineering from RGPV University, Bhopal, India. His area of interest includes developing Soft Computing, Computer vision, Drone Technology, Deep Learning, and Precision Agriculture. He had authored several research papers in published many in reputed journals and conferences. Dr. Rajneesh Kumar Patel is an Assistant Professor in the School of Computing Science and Engineering, VIT Bhopal University, Kothri-Kalan, Sehore, Madhya Pradesh, India. He has completed a Ph.D. in Electronics and Communication Engineering from Maulana Azad National Institute of Technology, Bhopal, India. He received a B.E. degree in 2012 and an MTech. degree 2016 in Electronics and Communication Engineering from RGPV University, Bhopal, India. His areas of interest include developing image processing, Computer vision, Machine/Deep Learning, and Precision Agriculture. He has authored several research papers in many reputed journals and Conferences. Dr. Uday Pratap Singh presently working as a Professor in Department of Mathematics, Central University of Jammu, Jammu, India. He has obtained B.Sc. and M.Sc. (Mathematics and Statistics) Degree from Dr. R.M.L. Awadh University, Faizabad, (U.P.), India, M.Sc. (Mathematics and Computing) Degree from Indian Institute of Technology, Guwahati, India, and received Ph.D. in Computer Science from Barkatullah University, Bhopal. His area of interest includes Soft Computing, Nonlinear Systems, and Image Processing. He had authored several research papers in the many reputed journals and conferences. He is a life member of Soft Computing Research Society (SCRC), Barata Ganita Parishad, Computer Society of India and Member of IEEE and AMS. Prof. Sanjeev Jain currently working as a Vice Chancellor of the Central University of Jammu. He received a Master’s degree in Computer Science and Engineering from IIT Delhi, New Delhi, India, in 1992, and a Ph.D. degree in Computer Science and Engineering. He has over 38 years of experience in teaching, research and administration. He has the credit of making a significant contribution to research and development in the area of image processing, Soft Computing, IoT and mobile ad-hoc network. He had authored several research papers in the many reputed journals and conferences. He has undertaken a number of major Research and Development projects sponsored by the Government and Private Agencies. He is a member of various societies like the Computer Society of India, IEEE.
Inhaltsangabe
1. AI- Enhanced Agriculture: Cultivating the Future.- 2. Artificial intelligence in Agriculture: A transformative direction.- 3. Application of nanotechnology in soil fertility management and crop production: Opportunities and challenges in African agriculture.- 4. A Smart Aeroponics for Sustainable Agriculture: New Horizon and Use Cases.- 5. Mitrika: An IoT-based fertilization, watering, and crop health monitoring system for Precision Agriculture.- 6. AgriCloud: A Cloud-Based Framework for Scalable Crop Monitoring and Intelligent Decision Support.- 7. Remote sensing applications for precision farming.- 8. AI Technologies in Agriculture: Transforming Farming with Intelligent Solutions.- 9. Smart Greenhouses and Controlled Environment Agriculture.- 10. Machine vision and Deep learning for Smart Agriculture.- 11. Revolutionizing Indian Agriculture: The Role of Mechanization and Emerging AgriTech Innovations.- 12. Data Analytics and AI in Agribusiness.- 13. Agriculture 6.0: Smart and Sustainable Innovations Shaping the Future of Farming.- 14. Deep Learning for Precision Agriculture: Predicting Crop Yields in a Changing Climate.- 15. Sustainability and Environmental Impact of AgriTech Solutions.- 16. Digitalization in Smart Farming.- 17. Digitization in Smart Farming: Revolutionizing Agriculture.- 18. Blockchain Technology in Agrifood Supply Chains.- 19. Artificial Intelligence Technologies in Agriculture.- 20. Cropify - An Intelligent System for Crop Recommendation and Disease Identification.
1. AI- Enhanced Agriculture: Cultivating the Future.- 2. Artificial intelligence in Agriculture: A transformative direction.- 3. Application of nanotechnology in soil fertility management and crop production: Opportunities and challenges in African agriculture.- 4. A Smart Aeroponics for Sustainable Agriculture: New Horizon and Use Cases.- 5. Mitrika: An IoT-based fertilization, watering, and crop health monitoring system for Precision Agriculture.- 6. AgriCloud: A Cloud-Based Framework for Scalable Crop Monitoring and Intelligent Decision Support.- 7. Remote sensing applications for precision farming.- 8. AI Technologies in Agriculture: Transforming Farming with Intelligent Solutions.- 9. Smart Greenhouses and Controlled Environment Agriculture.- 10. Machine vision and Deep learning for Smart Agriculture.- 11. Revolutionizing Indian Agriculture: The Role of Mechanization and Emerging AgriTech Innovations.- 12. Data Analytics and AI in Agribusiness.- 13. Agriculture 6.0: Smart and Sustainable Innovations Shaping the Future of Farming.- 14. Deep Learning for Precision Agriculture: Predicting Crop Yields in a Changing Climate.- 15. Sustainability and Environmental Impact of AgriTech Solutions.- 16. Digitalization in Smart Farming.- 17. Digitization in Smart Farming: Revolutionizing Agriculture.- 18. Blockchain Technology in Agrifood Supply Chains.- 19. Artificial Intelligence Technologies in Agriculture.- 20. Cropify - An Intelligent System for Crop Recommendation and Disease Identification.
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