Chenguang Xu
Papers
1
Total Citations
12
H-Index
1
About
Chenguang Xu’s research centers on agricultural robotics and machine vision, with a focus on automating fruit detection and harvesting in controlled environments like greenhouses. His most cited work, “Detecting the information of cucumber in greenhouse for picking based on NIR image” (2009, 12 citations), introduces a machine vision algorithm that uses near-infrared imaging to identify and locate cucumbers, enabling spatial localization and quality discrimination for robotic picking. This contribution addresses a critical bottleneck in agricultural automation—reliable detection of target fruits amid complex backgrounds. By integrating spectral imaging with algorithmic recognition, Xu’s work advances precision agriculture, reducing reliance on manual labor and improving harvest efficiency. Though his citation count is modest, his research lays foundational groundwork for vision-guided harvesting systems, particularly in greenhouse settings. Xu’s achievements highlight his role in bridging computer vision and agricultural engineering, offering practical solutions for real-world crop management. His work remains relevant for researchers developing autonomous picking robots and non-destructive quality assessment methods.
Research Focus
Key Achievements
Top Papers
- 1