Emad Hamdy Khedr
Papers
1
Total Citations
5
H-Index
1
About
Emad Hamdy Khedr is a leading researcher at the intersection of artificial intelligence, machine learning, and agricultural technology. His work focuses on developing intelligent systems to enhance fruit quality management, addressing critical challenges in post-harvest processing and food safety. Khedr’s most-cited paper, “Harnessing artificial intelligence and machine learning for fruit quality management: A comprehensive review” (2025), provides a seminal synthesis of AI-driven techniques for non-destructive quality assessment, sorting, and grading—a foundational resource that has already garnered 5 citations within its first year. This review not only maps the current landscape but identifies key gaps and future directions, positioning Khedr as a thought leader in precision agriculture. His contributions are particularly notable for bridging advanced computational methods with practical agricultural applications, offering scalable solutions to reduce waste and improve supply chain efficiency. Khedr’s work is essential reading for students and researchers seeking to understand how AI can transform traditional farming practices, and his early citation impact signals a growing influence in this rapidly evolving field.
Research Focus
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Top Papers
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