Mohamed Gad

Papers

Total Citations

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About

Mohamed Gad is an emerging researcher at the intersection of artificial intelligence, machine learning, and agricultural technology. His work focuses on developing intelligent systems to revolutionize fruit quality management, a critical area for global food supply chains and sustainability. Gad’s most-cited paper, "Harnessing artificial intelligence and machine learning for fruit quality management: A comprehensive review" (2025), has already garnered 5 citations, signaling growing interest in his synthesis of AI-driven methods for non-destructive quality assessment, sorting, and predictive analytics. This review not only maps current innovations but also identifies key challenges and future directions, positioning Gad as a thoughtful contributor to precision agriculture. His research holds promise for reducing food waste, enhancing supply chain efficiency, and ensuring consistent produce quality through automated, data-driven approaches. As an early-career scholar, Gad’s work is gaining traction among peers in agri-tech and computer science, and his ability to bridge complex computational models with practical agricultural needs marks him as a researcher to watch. With continued development, his contributions could meaningfully impact how the industry harnesses AI for sustainable food systems.