Abdelaaziz Bellout
Papers
1
Total Citations
5
H-Index
1
About
Abdelaaziz Bellout is a researcher at the forefront of integrating artificial intelligence with precision agriculture, focusing on smart farming solutions for crop disease management. His most notable contribution is the development of a YOLOv10-enabled IoT robot car for accurate disease detection in strawberry cultivation, a work that has already garnered early citations since its 2024 publication. This innovative system combines real-time object detection with remote-controlled robotics, offering a scalable, non-invasive approach to identifying diseases that threaten global strawberry yields. Bellout’s work addresses a critical gap in agricultural technology, moving beyond traditional manual inspection toward automated, data-driven crop health monitoring. His research exemplifies the practical application of deep learning and Internet of Things (IoT) in real-world farming, with potential to reduce pesticide use and improve food security. As a rising voice in the intersection of computer vision and agri-tech, Bellout’s contributions are paving the way for smarter, more resilient agricultural systems.
Research Focus
Key Achievements
Top Papers
- 1