Chun‐Lin Chen
Papers
2
Total Citations
117
H-Index
2
About
Chun-Lin Chen is a leading researcher in agricultural robotics and computer vision, with a primary focus on intelligent harvesting systems. His most impactful work centers on the application of deep learning to precision agriculture, particularly through the development of a YOLOv3-based computer vision system for identifying tea buds and their optimal picking points. This 2022 study, which has garnered over 106 citations, represents a significant breakthrough in automating the selective harvesting of high-value crops, addressing a critical labor shortage in the tea industry. Chen's research extends to the broader challenges of fruit and vegetable picking, as evidenced by his comprehensive 2025 review on apple harvesting robotic arms, which synthesizes current strategies in end-effector design and picking methodologies. His contributions are notable for bridging the gap between state-of-the-art object detection algorithms and practical agricultural applications, offering scalable solutions that enhance both efficiency and crop quality. By advancing the integration of computer vision and robotics in agriculture, Chen is helping to shape the future of smart farming, making his work essential reading for researchers and students in agricultural engineering, robotics, and precision agriculture.
Research Focus
Key Achievements
Top Papers
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- 2