Chengzhi Ruan
Papers
8
Total Citations
174
H-Index
6
About
Chengzhi Ruan is a leading researcher in agricultural robotics, specializing in computer vision, machine learning, and autonomous systems for fruit harvesting. His work focuses on overcoming the core challenges of robotic fruit picking: accurate detection, segmentation, and localization of crops in complex, natural environments. Ruan’s most impactful contributions include pioneering methods for segmenting apples at night using color and position data (53 citations) and developing algorithms for detecting and localizing overlapped fruits, a critical problem for yield measurement and mechanical harvesting (44 citations). He further advanced the field with an accurate detection and segmentation model for obscured green fruits (43 citations), addressing a major hurdle in automated harvesting. His recent work explores minimizing mechanical damage in apple picking robots through reinforcement learning-based impedance control (10 citations). Beyond apples, Ruan has applied machine vision to lotus picking robots, and his research extends to autonomous navigation control for agricultural robots. With over 170 total citations, his work is foundational for the next generation of intelligent, damage-free harvesting systems, directly impacting the efficiency and viability of agricultural automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3An accurate detection and segmentation model of obscured green fruits43 citations · 2022
- 4
- 5
- 6
- 7
- 8