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                <text>Book Chapter</text>
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    <name>Book Chapter</name>
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              <text>Toward precision agriculture in Cyber-Physical Agricultural System</text>
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              <text>Agriculture 4.0 or Agri 4.0; cyber-physical agricultural system; cyber-physical system; industry 4.0; precision agriculture</text>
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              <text>Agriculture 4.0 or Agri 4.0 is a newly developed system that consists of various digital technologies adapted from Industry 4.0 based on smart automation. Agriculture 4.0 is a subset of Industry 4.0 aimed at sustainable precision agriculture (PA) and increasing agricultural efficiency using digital technologies and the Internet of Things. The cyber-physical system (CPS) is the seamless integration of digital and physical domains and when CPS is applied in agriculture, it is termed cyber-physical agricultural system (CPAS). The application of CPS in carrying out PA with sustainable management of resources is termed Agri 4.0. Research papers are reviewed to understand the bigger picture behind various details of digital technologies and CPS with a focus on agriculture 4.0 and to determine its applications, challenges, and developments in the field. It is apparent that most of the small and marginal farms in remote areas are not able to use this technology due to a lack of knowledge and resources. It is the need of the hour to support these farmers by making favorable policies and appropriating budgets such that it will lead to more profitable and sustained PA and in the process contribute to the social and economic upliftment of farmers of India.  2024 Elsevier Inc. All rights reserved.</text>
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          <name>Creator</name>
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              <text>Gokul Krishnan K.B.; Mehta V.; Rai V.; Hirendra Rai R.; Sharma V.; Mishra N.</text>
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              <text>Agri 4.0 and the Future of Cyber-Physical Agricultural Systems, pp. 157-174.</text>
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              <text>2024-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1016/B978-0-443-13185-1.00009-5" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/B978-0-443-13185-1.00009-5&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198418588&amp;amp;doi=10.1016%2FB978-0-443-13185-1.00009-5&amp;amp;partnerID=40&amp;amp;md5=66353e062c90a8b3d63d00d1e4b1a7a2" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198418588&amp;amp;doi=10.1016%2fB978-0-443-13185-1.00009-5&amp;amp;partnerID=40&amp;amp;md5=66353e062c90a8b3d63d00d1e4b1a7a2&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISBN: 978-044313185-1; 978-044313186-8</text>
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              <text>Online</text>
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              <text>Gokul Krishnan K.B., Department of Agricultural Statistics, College of Agriculture, Acharya Narendra Deva University of Agriculture and Technology, Uttar Pradesh, Ayodhya, India; Mehta V., Department of Agricultural Statistics, College of Agriculture, Acharya Narendra Deva University of Agriculture and Technology, Uttar Pradesh, Ayodhya, India; Rai V., Manipal Institute of Technology, Karnataka, Manipal, India; Hirendra Rai R., School of Physiotherapy, Delhi Pharmaceutical Sciences and Research University, Delhi, India; Sharma V., Department of Computational Sciences, Christ University, Delhi NCR Campus, India; Mishra N., Department of Economics, FS University, Uttar Pradesh, Shikohabad, India</text>
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