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We propose an IoT-driven precision agriculture solution enhanced with AI on the edge, designed to optimize irrigation, resource allocation, and crop management through real-time data processing and decision-making. By integrating soil and crop data with GIS, our system enables farmers to boost agricultural productivity sustainably. Edge AI processes data locally to provide instant insights and actions, such as adjusting irrigation schedules, applying fertilizers precisely, and detecting crop health issues. This scalable and energy-efficient solution supports sustainable farming practices, ensuring optimal resource use and improved crop yields while minimizing environmental impact.