Xing Zuochang
Papers
1
Total Citations
6
H-Index
1
About
Dr. Xing Zuochang is a leading figure in agricultural robotics and precision horticulture, with a primary focus on automating labor-intensive tasks in seedling production. His most cited work, "Development of machine-vision system for gap inspection of muskmelon grafted seedlings" (2017), addresses a critical bottleneck in grafting automation: the need for human visual inspection of graft unions. By developing a CCD-based machine vision system, Dr. Zuochang enabled automated, non-destructive gap detection in grafted muskmelon seedlings, significantly improving the efficiency and reliability of robotic grafting lines. This contribution, which has garnered 6 citations, represents a foundational step toward fully autonomous grafting—a key challenge in high-value crop production. His research integrates computer vision, image processing, and mechatronics to solve real-world agricultural problems, reducing manual labor and enhancing seedling survival rates. Dr. Zuochang’s work is particularly notable for its practical impact on greenhouse and nursery operations, where precision and speed are critical. As a researcher, he continues to advance smart farming technologies, bridging the gap between laboratory algorithms and field-ready automation systems.
Research Focus
Key Achievements
Top Papers
- 1