Convergence of Cloud Computing, AI, and Agricultural Science explores the transformative potential of integrating cutting-edge technologies into the field of agriculture. With the rapid advancements in cloud computing, Artificial Intelligence (AI), and the Internet of Things (IoT), this research presents a comprehensive framework for monitoring agriculture farms remotely using a smart cloud-based system. The book delves into the application of AI-based machine learning models, such as the Support Vector Machine (SVM), to accurately classify and process the collected data. This advanced research reference book also explores how digital information can provide farmers with information about international markets, enabling them to make informed decisions regarding their crops. With its academic tone and in-depth exploration of cloud computing in smart agriculture, this book serves as an essential resource for researchers, academics, and professionals in the fields of agriculture, computer science, and environmental science. By examining the convergence of cloud computing, AI, and agricultural science, it provides a roadmap for harnessing technology to revolutionize farming practices and ensure sustainable agri-food systems in the digital era.

�ber die Autorin bzw. den Autor

Rijwan Khan has obtained Ph.D in Computer Engineering from Jamia Millia Islamia, New Delhi, India. He is presently working as Professor and Head Department of Computer Science and Engineering at ABES Institute of Technology (Affiliated to AKTU), Ghaziabad India. He has more than 50 publications in his area of research. He published 3 patents and 2 of his patents are granted. He is reviewer of different journal of Springer, Elsevier, ACM etc. He is author of 3 books. He is guest editor of SCI and Scopus indexed journals and editor of 3 Books.

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