Azzedine Dliou
Papers
2
Total Citations
16
H-Index
2
About
Azzedine Dliou is pioneering the integration of artificial intelligence and robotics for precision agriculture, with a focus on sustainable crop protection. His research centers on developing intelligent, real-time monitoring systems that empower farmers to detect pests and diseases with unprecedented accuracy. In his 2024 work, Dliou introduced a YOLOv8-powered IoT robot car for smart pest control in grain warehouses, a system that addresses the critical challenge of protecting stored cereals—which provide over 50% of global energy and protein intake—from infestation. This paper has already garnered 11 citations, reflecting its immediate relevance to food security. Expanding his approach, Dliou then applied a similar framework to strawberry cultivation, deploying a YOLOv10-enabled robot car for precise disease detection. This work, with 5 citations, demonstrates the versatility of his deep learning and edge-computing methodology across different high-value crops. By merging advanced computer vision with autonomous robotics, Dliou is not only reducing reliance on chemical pesticides but also providing scalable, data-driven tools for modern farming. His contributions are paving the way for a new era of smart, responsive, and efficient agricultural systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2