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 Conference Paper Faculty Publications- Conference Papers 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 Poulik, Rima; Singh, Ajay Vikram; Shuvro, Asif Mahmud; Sharma, Vandana; Jain, Sarika Title A name given to the resource Optimizing Sustainable Agriculture Through Customized Crop Management Approach Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 2025 International Conference on Artificial Intelligence and Machine Vision, AIMV 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/AIMV66517.2025.11203475" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/AIMV66517.2025.11203475</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105021831685?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105021831685?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 Poulik R., Kalinga Institute of Industrial Technology, Deemed to Be University, Odisha, India; Singh A.V., Amity University, AIIT, UP, India; Shuvro A.M., Kalinga Institute of Industrial Technology, Deemed to Be University, Odisha, India; Sharma V., CHRIST University, Computer Science Department, Bengaluru, India; Jain S., Amity University, AIIT, UP, India Description An account of the resource Sustainable agriculture is essential for actively addressing the dual challenges of global food security and climate variability. This study deploys an intelligent, data-driven approach to tailored crop management, positioning it as a dynamic framework for optimizing cultivation by enhancing soil quality and climate resilience. Recognizing soil quality as a foundational element of sustainable agriculture, this paper highlights its critical role in nutrient cycling, water retention, and organic enrichment. Through strategic interventions such as precision crop rotation, conservation tillage, cover cropping, and organic amendments, this approach maximizes soil porosity, health, and fertility while mitigating environmental degradation. By operationalization tailored crop management as an adaptable and scalable system, this research advances the synergy between agricultural productivity and environmental sustainability. Leveraging AI-driven insights, predictive modeling, and modular frameworks, these strategies empower global efforts toward food security, ecological balance, and climate-adaptive farming solutions. 2025 IEEE. Subject The topic of the resource adaptive crop management; AI-driven agriculture; Climate resilience; environmental sustainability; food security; precision farming; soil health optimization Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833152697-9; Language A language of the resource English Type The nature or genre of the resource Conference paper 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