Papers
19
Total Citations
553
H-Index
12
About
Ting Yuan is a pioneering researcher in agricultural robotics and precision automation, whose career spans nearly two decades of transformative work at the intersection of computer vision, machine learning, and greenhouse crop management. Yuan's research has focused primarily on developing intelligent robotic systems for harvesting high-value crops — particularly tomatoes, cherry tomatoes, and watermelons — as well as autonomous pollination and intra-row weeding applications. Among Yuan's most influential contributions is a deep learning-based cherry tomato detection algorithm using Single Shot MultiBox Detector (SSD) architecture, which effectively addresses real-world challenges of variable illumination, plant occlusion, and growth differences in greenhouse environments. Complementing this, Yuan has advanced pneumatic end-effector design, fruit pose recognition, and three-dimensional keypoint detection for robotic grasping — work that has collectively garnered over 300 citations. A standout early achievement includes a fully autonomous tomato pollination robot integrating binocular vision and a four-degree-of-freedom manipulator. From foundational neural-network-based cucumber recognition in 2007 to a fully evaluated selective cherry tomato harvesting robot in 2024, Yuan's trajectory reflects a sustained commitment to solving practical labor challenges in modern agriculture, making a lasting impact on the field of smart farming and food production automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Robust Cherry Tomatoes Detection Algorithm in Greenhouse Scene Based on SSD69 citations · 2020
- 4
- 5
- 6
- 7Recognition of greenhouse cucumber fruit using computer vision30 citations · 2007
- 8Research on Key Technology of Truss Tomato Harvesting Robot in Greenhouse28 citations · 2013
- 9
- 10Crop positioning for robotic intra-row weeding based on machine vision20 citations · 2015