Zhibo Xu
Papers
1
Total Citations
34
H-Index
1
About
Zhibo Xu is a leading researcher in agricultural robotics and intelligent vision systems, with a primary focus on developing real-time detection algorithms for specialty crop harvesting. His most significant contribution is an improved YOLOv5s architecture for Zanthoxylum (Sichuan pepper) target detection, designed to overcome the critical challenge of identifying fruit obscured by branches, leaves, and overlapping clusters in complex natural environments. This work, published in 2022 and cited 34 times, directly addresses a core bottleneck in autonomous picking robot technology—enabling accurate, real-time fruit recognition under occlusion. Xu’s research bridges deep learning and precision agriculture, enhancing the adaptability and efficiency of intelligent harvesting systems. His innovations are pivotal for advancing field robotics, reducing labor dependency, and improving yield in spice crop production. By tackling real-world visual complexity, Xu’s contributions have practical implications for the agricultural robotics industry and inspire further work in occlusion-robust detection for specialty crops.
Research Focus
Key Achievements
Top Papers
- 1