Xiaohuan Guo
Papers
1
Total Citations
20
H-Index
1
About
Xiaohuan Guo is a leading researcher in agricultural robotics and computer vision, with a focus on precision harvesting systems. Their most cited work, "Recognition and Positioning of Strawberries Based on Improved YOLOv7 and RGB-D Sensing" (2024, 20 citations), exemplifies their core contribution: enhancing the speed and accuracy of fruit detection for autonomous picking robots. By integrating an improved YOLOv7 algorithm with RGB-D depth sensing, Guo developed a method that not only identifies elevated-substrate strawberries but also precisely locates optimal picking points—a critical challenge in soft fruit harvesting. This work has direct implications for reducing labor costs and improving yield efficiency in modern agriculture. Guo’s research bridges deep learning and robotic manipulation, demonstrating how state-of-the-art object detection can be adapted for real-time, field-deployable systems. Their achievements highlight a commitment to solving practical bottlenecks in agricultural automation, making them a key figure in the advancement of smart farming technologies.
Research Focus
Key Achievements
Top Papers
- 1