Ayham Ahmed
Papers
1
Total Citations
6
H-Index
1
About
Ayham Ahmed is a pioneering researcher in agricultural robotics and computer vision, with a focus on intelligent harvesting systems. His most-cited work, "Finger vision enabled real-time defect detection in robotic harvesting" (2025, 6 citations), introduces a groundbreaking eye-in-finger configuration for fruit inspection—a first in the field. This innovation combines pre-harvest fruit inspection with robotic harvesting, achieving 98% precision in apple defect detection while operating in real-time using under 20% of a Jetson Orin’s processing capacity. Ahmed’s contributions address critical challenges in precision agriculture, enabling robots to autonomously assess fruit quality during harvest, thereby reducing waste and improving efficiency. His work bridges the gap between sensing and manipulation, setting a new standard for real-time, on-the-fly quality control in agricultural robotics. By integrating advanced vision systems directly into robotic grippers, Ahmed has opened new avenues for sustainable farming practices. His research is highly cited for its practical impact and technical novelty, making him a rising figure in the field of agricultural automation and intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1Finger vision enabled real-time defect detection in robotic harvesting6 citations · 2025