Mazliham Muhammad Su'ud

Papers

Total Citations

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About

Dr. Mazliham Muhammad Su’ud is a prominent researcher whose work bridges the frontiers of artificial intelligence, image processing, and unmanned aerial vehicles (UAVs) to revolutionize modern agriculture. His most cited paper, a comprehensive 2021 review on "Advance control strategies using image processing, UAV and AI in agriculture," has garnered 26 citations, establishing a foundational roadmap for transitioning traditional farming into smart, data-driven systems. This seminal work synthesizes cutting-edge control strategies, offering researchers and practitioners a clear vision for integrating autonomous drones and machine vision to monitor crop health, optimize resource use, and enhance yield prediction. Beyond this review, Dr. Su’ud’s broader contributions span intelligent systems and sustainable technology, where his insights have influenced both academic discourse and practical agricultural innovations. His ability to distill complex technological intersections into actionable frameworks has made him a key figure in precision agriculture. For students and researchers exploring the future of food security, Dr. Su’ud’s work provides an essential gateway to understanding how AI and UAVs can address global agricultural challenges, marking him as a thought leader in this rapidly evolving field.