Mohammed Amer Arafah
Papers
2
Total Citations
80
H-Index
2
About
Mohammed Amer Arafah is a researcher whose work bridges artificial intelligence and agricultural technology, with a particular focus on intelligent systems for date fruit cultivation. His most impactful contribution, the Intelligent Harvesting Decision System (IHDS), uses deep learning and computer vision to determine the optimal maturity stage for date harvesting—a critical challenge given that dates represent 72% of Saudi Arabia's permanent crop area and global production has surged from 3.4 million to 8.5 million tons over three decades. With 65 citations, this work demonstrates how AI can transform traditional farming practices, reducing waste and improving yield quality. Arafah also contributes to robotics through his development of an autonomous stereovision-based navigation system (ASNS) for mobile robots, showcasing his versatility in computer vision applications. His research addresses real-world agricultural needs while advancing fundamental AI methodologies, making him a notable figure in precision agriculture and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2An autonomous stereovision-based navigation system (ASNS) for mobile robots15 citations · 2016