Lintao Chen
Papers
1
Total Citations
3
H-Index
1
About
Lintao Chen is a researcher advancing agricultural robotics and computer vision, with a focus on intelligent harvesting systems. His work centers on 3D reconstruction and recognition technologies for specialty crops, particularly camellia oleifera fruit. Chen’s most cited paper, “3D Reconstruction of Camellia Oleifera Fruit Recognition and Fruit Branch based on Kinect Camera” (2021), addresses a critical challenge in agricultural automation: enabling robots to accurately identify and locate mature fruit in complex outdoor environments. By integrating Kinect camera-based depth sensing with recognition algorithms, his research provides foundational methods for designing 3D vision systems in fruit-picking robots. This work supports the development of autonomous harvesting solutions that can operate reliably under real-world field conditions. With 3 citations, Chen’s contributions are gaining attention in the precision agriculture community, particularly among researchers working on robotic manipulation and crop-specific vision systems. His efforts help bridge the gap between laboratory computer vision techniques and practical, deployable agricultural robotics—an essential step toward reducing labor demands and improving harvest efficiency for high-value crops like camellia oleifera.
Research Focus
Key Achievements
Top Papers
- 1