Qiao Jun
Papers
2
Total Citations
5
H-Index
2
About
Qiao Jun is a pioneering researcher in agricultural robotics and machine vision systems, with a primary focus on automating fruit and vegetable harvesting and grading processes. His work centers on developing intelligent vision sensors and algorithms that enable robots to accurately perceive and assess produce in real-world agricultural environments. One of his key contributions is the creation of a 3-dimension vision sensor for apple harvesting robots, which allows for precise spatial detection of fruit in complex orchard settings, a foundational step toward fully autonomous harvesting. In another notable study, he developed machine vision algorithms to extract external features of sweet peppers—including color sorting, size estimation, shape classification, bruise detection, and mass prediction—for use on a mobile fruit grading robot. Though his citation counts are modest (3 and 2 citations respectively), his research represents early, foundational work in applying computer vision to specialty crop robotics, addressing critical challenges in non-destructive quality assessment and robotic manipulation. Qiao Jun’s contributions have helped lay the groundwork for subsequent advances in agricultural automation, particularly in the development of vision-guided systems for delicate produce handling.
Research Focus
Key Achievements
Top Papers
- 1
- 2Development of a 3-dimension vision sensor in apple harvesting robot.2 citations · 2010