Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource AI for Optimization of Farming Resources and their Management Description An account of the resource The chapter explores the incorporation of artificial intelligence (AI) into framework strategies aimed at addressing the dynamic challenges confronting the agricultural industry. It focuses on issues like resource depletion, escalating labor costs, and the impacts of climate change, emphasizing the necessity for inventive solutions. The proposed framework adopts a comprehensive approach that integrates farm-to-fork strategies, smart agricultural practices, and advanced crop planning. Its primary objectives are to enhance crop yields, establish transparent supply chains, and optimize resource allocation. The chapter underscores the potential synergies associated with contextual understanding, efficient communication, and personalized user experiences, anticipating a transformative impact on agriculture. The integration of AI is anticipated to yield unprecedented benefits, paving the way for a more technologically advanced, sustainable, and productive future. Despite these promising prospects, challenges emerge during the integration process, manifesting as regulatory hurdles, infrastructure deficiencies, and inherent complexities. The chapter acknowledges these obstacles and asserts that overcoming them is crucial for realizing the full transformative potential of AI in agriculture. Looking ahead, the convergence of AI and framing strategies is poised to revolutionize the agricultural landscape, ushering in increased efficiency and sustainability. This innovative partnership holds the promise of building a resilient foundation for agriculture, ensuring its adaptability to changing needs and contributing to a greener and more productive future. 2025 selection and editorial matter, Sirisha Potluri, Suneeta Satpathy, Santi Swarup Basa, and Antonio Zuorro; individual chapters, the contributors. All rights reserved. Creator An entity primarily responsible for making the resource Indu P.V.; Nanjundan P.; Thomas L. Source A related resource from which the described resource is derived AI in Agriculture for Sustainable and Economic Management, pp. 42-52. Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003451648-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003451648-4</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204648538&amp;doi=10.1201%2F9781003451648-4&amp;partnerID=40&amp;md5=6a22ca85a2fffaa359fb005b2ffcdb30" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204648538&amp;doi=10.1201%2f9781003451648-4&amp;partnerID=40&amp;md5=6a22ca85a2fffaa359fb005b2ffcdb30</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-104009810-3; 978-103258569-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Indu P.V., CHRIST University, Pune, India; Nanjundan P., CHRIST University, Lavasa Campus, Pune, India; Thomas L., CHRIST University, Lavasa Campus, Pune, India