Guo Ai-xi
Papers
1
Total Citations
3
H-Index
1
About
Guo Ai-xi is a researcher in agricultural robotics and computer vision, with a focus on intelligent harvesting systems for specialty crops. Her work addresses the critical challenge of automated fruit recognition and positioning, particularly for complex, cluster-bearing fruits like litchi. In her most cited paper, "Recognition on image of litchi fruits and their main fruit bearing based on twin-threshold method" (2014, 3 citations), she developed a novel image processing approach that converts color litchi images to the Cr single-channel of the YCbCr color space and applies a twin-threshold method to distinguish litchi fruits from their main bearing branches. This contribution directly supports the development of litchi harvesting robots by solving key problems in target recognition and localization. Though her citation count is modest, her work represents an important step in applying computer vision to agricultural automation, particularly for crops with complex occlusion and lighting conditions. Guo’s research bridges the gap between theoretical image processing and practical robotic harvesting, offering foundational methods for future work in precision agriculture.
Research Focus
Key Achievements
Top Papers
- 1