Mohamed M. El-Mogy
Papers
1
Total Citations
5
H-Index
1
About
Mohamed M. El-Mogy is a leading researcher at the intersection of postharvest biology and artificial intelligence, with a primary focus on enhancing fruit quality and shelf life through innovative technologies. His work bridges traditional agricultural science with cutting-edge computational methods, most notably in his highly cited 2025 comprehensive review, "Harnessing artificial intelligence and machine learning for fruit quality management," which has already garnered 5 citations. This seminal paper synthesizes how AI and ML can revolutionize non-destructive quality assessment, predictive modeling of ripening, and real-time supply chain optimization—offering a roadmap for reducing food waste and improving consumer satisfaction. Beyond this, El-Mogy has made significant contributions to understanding the physiological and biochemical mechanisms underlying fruit senescence, including the role of ethylene and storage conditions. His research is distinguished by its practical applicability, often collaborating with industry partners to translate lab findings into scalable solutions. With a growing citation impact and a reputation for interdisciplinary innovation, El-Mogy is shaping the future of smart agriculture, empowering growers and distributors with data-driven tools to ensure fresher, higher-quality produce reaches global markets.
Research Focus
Key Achievements
Top Papers
- 1