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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Pandey, Ananya; Joseph, Jipson; Mishra, Achyutananda Title A name given to the resource Advancing Sustainable Agriculture Through Artificial Intelligence: Harvesting Greener Future Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Artificial Intelligence Enabled Real Time Environmental Monitoring;pp.19-41 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-95-3767-9_2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-95-3767-9_2</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105037782759?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037782759?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pandey A., School of Law, Christ University, Karnataka, Bangalore, India; Joseph J., School of Law, Christ University, Karnataka, Bangalore, India; Mishra A., School of Law, Christ University, Karnataka, Bangalore, India Description An account of the resource The growing population of the globe is expected to reach 10 billion by 2050. Its demands have led to widespread food insecurities and hunger, which conventional farming failed to address. To meet such a grim scenario, the United Nations drafted the Sustainable Development Goals (SDGs) to end hunger (SDG 2), promote sustainable consumption and production (SDG 12), and promote life on land (SDG 15). To achieve these goals, the global farming system needs to make a substantial transition by adopting alternative methods and approaches. The concept of sustainable agriculture is an integrated system of animal and plant production practices to satisfy human food and fiber requirements. It enhances environmental quality, efficient use of energy resources, economic viability of farm operation, and quality of life of farmers and society. It has emerged as a viable alternative to meet such goals. Sustainable agriculture practice incorporates the true spirit of the abovementioned SDGs by combining the aspirations of the present and future generations. Smart technologies, which include the use of robotics, intelligent sprayers, satellite drones, Internet of Things (IoT) devices, and climate sensors, appear as supplementary tools for sustainable agriculture to mitigate the accelerated demands of food across the globe. The advancement of artificial intelligence (AI)/IoT technologies has the potential to monitor the agricultural environment to ensure high-quality products. According to the World Economic Forum (WEF), the integration of AI into the farming sector can provide an adequate food supply to the people. Such integration of smart technologies with sustainable agriculture has significant advantages for the world in achieving sustainable development goals. However, smart technologies are not free from challenges due to their novelty, complications related to the control and operation of IoT/AI machines, data sharing and management, interoperability and large amounts of data ownership, analysis, and storage. Keeping in view the above, this chapter explores the integration and interaction of AI-enabled smart technologies and smart agriculture analysing key challenges involved in this regard. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. Subject The topic of the resource Artificial intelligence (AI); Conventional farming; Internet of Things (IoT); Sustainable agriculture, Smart technologies, Technological advancements Publisher An entity responsible for making the resource available Springer Nature Relation A related resource ISBN: 978-981953767-9; 978-981953766-2; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online