Mohamed Abdel‐Haleem

Papers

Total Citations

H-Index

About

Mohamed Abdel‐Haleem is a leading researcher at the intersection of artificial intelligence, machine learning, and agricultural engineering, with a primary focus on postharvest fruit quality management. His most cited work, "Harnessing artificial intelligence and machine learning for fruit quality management: A comprehensive review" (2025, 5 citations), synthesizes cutting‐edge AI and ML techniques—such as computer vision, deep learning, and predictive modeling—to revolutionize the assessment and preservation of fruit quality throughout the supply chain. This review not only maps the current landscape but also identifies critical gaps and future directions, establishing a foundational resource for both academics and industry practitioners. Abdel‐Haleem’s contributions are particularly notable for bridging the gap between advanced computational methods and practical agricultural challenges, offering scalable solutions for reducing waste and enhancing food safety. With a growing citation impact, his work is increasingly recognized as a key reference in precision agriculture. His research continues to push the boundaries of how AI can transform traditional horticultural practices, making him a pivotal figure in the digital transformation of the global fruit industry.