Mohamed ElSayed
Arab Academy for Science, Technology, and Maritime Transport
Papers
1
Total Citations
3
H-Index
1
About
Mohamed ElSayed is at the forefront of intelligent precision agriculture, where his work seamlessly fuses robotics, artificial intelligence, and thermal imaging technologies to address the pressing challenge of global food security. His research focuses on developing autonomous systems that enhance crop monitoring, resource efficiency, and yield prediction, offering scalable solutions for sustainable farming in the face of a growing world population. His most-cited paper, "Fusion of Robotics, AI, and Thermal Imaging Technologies for Intelligent Precision Agriculture Systems" (2025), has already garnered 3 citations, signaling early impact in a rapidly evolving field. ElSayed’s contributions lie in integrating real-time thermal data with AI-driven decision-making, enabling precise detection of plant stress and irrigation needs. By bridging engineering and agronomy, he is helping to redefine how technology can mitigate the strain on food production systems. His work is particularly notable for its practical orientation, aiming to deploy cost-effective robotic platforms in real-world agricultural settings. As a researcher, ElSayed stands at the intersection of innovation and necessity, driving forward the tools that will shape the future of farming.
Research Focus
Key Achievements
Top Papers
- 1