Timothy Beh
Papers
1
Total Citations
6
H-Index
1
About
Timothy Beh is a pioneering researcher in agricultural robotics and precision harvesting, with a focus on real-time defect detection and autonomous fruit inspection. His most notable contribution is the development of "finger vision"—a novel eye-in-finger configuration that integrates visual inspection directly into robotic grippers, enabling pre-harvest fruit quality assessment for the first time. This breakthrough allows robotic harvesters to detect apple defects with 98% precision in real time, using less than 20% of a Jetson Orin’s processing capacity. His 2025 paper on this topic has already garnered 6 citations, signaling its rapid impact on the field. Beh’s work bridges computer vision, embedded systems, and agricultural engineering, offering a scalable solution to reduce post-harvest waste and improve food quality. By enabling robots to "see" and assess fruit before picking, he addresses a critical bottleneck in automated harvesting. His research is particularly influential for students and engineers working at the intersection of robotics, AI, and sustainable agriculture, demonstrating how lightweight, efficient vision systems can transform real-world farming practices.
Research Focus
Key Achievements
Top Papers
- 1Finger vision enabled real-time defect detection in robotic harvesting6 citations · 2025