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              <text>AGRI 4.0 AND THE FUTURE OF CYBER-PHYSICAL AGRICULTURAL SYSTEMS</text>
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              <text>Agri 4.0 and the Future of Cyber-Physical Agricultural Systems is the first book to explore the potential use of technology in agriculture with a focus on technologies that enable the reader to better comprehend the full range of CPS opportunities. From planning to distribution, CPS technologies are available to impact agricultural output, delivery, and consumption. Specific sections explore ways to implement CPS effectively and appropriately and cover digitalization of agriculture, digital computers to assist the processes of agriculture with digitized data and allied technologies, including AI, Computer Vision, Big data, Block chain, and IoT. Other sections cover Agri 4.0 and how it can digitalize, estimate, plan, predict, and produce the optimum agricultural inputs and outputs required for commercial purposes. The global team of authors also presents important insights into promising areas of precision agriculture, autonomous systems, smart farming environment, smart production monitoring, pest detection and recovery, sustainable industrial practices, and government policies in Agri 4.0.  2024 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies.</text>
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              <text>Agri 4.0 and the Future of Cyber-Physical Agricultural Systems, pp. 1-310.</text>
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              <text>Kadry S., Department of Electrical and Computer Engineering, Lebanese American University, Byblos, Lebanon; Sharma V., Department of Computational Sciences, Christ University, Delhi NCR Campus, India; Dhanaraj R.K., Symbiosis Institute of Computer Studies and Research (SICSR), Symbiosis International (Deemed University), Maharashtra, Pune, India; Jhaveri R.H., Department of Computer Science and Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar, India; Vendhan G., Bharathiar University, Tamil Nadu, Coimbatore, India</text>
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