Mohamed Imran Kareem Basha

Papers

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About

Mohamed Imran Kareem Basha is a rising voice in the intersection of artificial intelligence and sustainable agriculture, with a focused expertise in precision farming systems. His most-cited work, "Precision Agriculture: A Novel Approach on AI-Driven Farming" (2024), has already garnered 14 citations, signaling its timely impact on the field. In this paper, Basha introduces a framework that leverages machine learning and sensor data to optimize crop management, reduce resource waste, and enhance yield prediction. His contributions are particularly notable for bridging the gap between theoretical AI models and practical, on-field deployment—a challenge that has long hindered agricultural tech adoption. Basha’s research addresses critical global food security issues by demonstrating how data-driven insights can minimize water and fertilizer usage while maximizing output. As an early-career researcher, his work is already influencing discussions on scalable, low-cost smart farming solutions. With a clear trajectory toward integrating edge computing and IoT in agriculture, Basha is positioning himself as a key innovator in the next generation of agri-tech, making his profile essential reading for students and researchers interested in applied AI for environmental sustainability.