Mohamed Eassa
Papers
1
Total Citations
23
H-Index
1
About
Dr. Mohamed Eassa is at the forefront of integrating artificial intelligence with the Internet of Things to revolutionize modern agriculture. His research focuses on developing intelligent, data-driven systems that address critical challenges in smart farming, including water scarcity, plant disease detection, and pest management. His most cited work, "AI-IoT based smart agriculture pivot for plant diseases detection and treatment" (2025), has already garnered 23 citations, reflecting its timely impact on the field. In this study, Dr. Eassa demonstrates how AI algorithms can be deployed on IoT-enabled agricultural pivots to autonomously identify and treat crop diseases, significantly reducing resource waste and improving yield. His contributions bridge the gap between theoretical machine learning and practical, deployable agricultural solutions. By combining sensor networks with real-time analytics, Dr. Eassa’s work offers a scalable framework for precision agriculture, particularly valuable in regions facing water and food security pressures. His research not only advances academic knowledge but also provides actionable tools for farmers, making him a key innovator in the growing field of AI-driven sustainable agriculture.
Research Focus
Key Achievements
Top Papers
- 1