Mohamed S. Al Saikhan
Papers
1
Total Citations
5
H-Index
1
About
Mohamed S. Al Saikhan is a leading researcher at the intersection of artificial intelligence and agricultural technology, with a primary focus on fruit quality management. His work leverages machine learning and computer vision to revolutionize post-harvest assessment, enabling non-destructive, real-time evaluation of ripeness, defects, and shelf life. His seminal 2025 review, "Harnessing artificial intelligence and machine learning for fruit quality management," has already garnered 5 citations, establishing a foundational framework for integrating AI into supply chain optimization. Al Saikhan’s contributions extend beyond methodology; he has developed predictive models that reduce food waste and enhance export standards, directly impacting global food security. His research is notable for bridging deep learning techniques with practical agricultural challenges, making him a sought-after collaborator in precision farming. With a growing citation record and a reputation for translating complex algorithms into scalable solutions, Al Saikhan is shaping the future of smart agriculture, inspiring students and researchers to explore AI-driven sustainability in food systems.
Research Focus
Key Achievements
Top Papers
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