Pengyun Xu
Papers
1
Total Citations
15
H-Index
1
About
Pengyun Xu’s research centers on agricultural robotics and precision grafting technology, with a particular focus on improving seedling survival rates through advanced visual imaging and mechanical design. In their most-cited work, “Study on the Method of Matched Splice Grafting for Melon Seedlings Based on Visual Image” (2022, 15 citations), Xu addresses a critical bottleneck in automated grafting: the inability of existing machines to adjust cutting angles in real time. By integrating visual image analysis into the grafting process, Xu’s method enhances the fitting precision between rootstocks and scion seedlings, directly boosting both the survival rate and quality of grafted plants. This contribution is particularly valuable for melon cultivation, where grafting is essential for disease resistance and yield. While still early in their career, Xu’s work signals a promising trajectory in precision agriculture, combining computer vision with mechanical engineering to solve real-world horticultural challenges. Their research holds practical implications for reducing labor costs and improving crop resilience, marking Xu as an emerging innovator in smart farming technologies.
Research Focus
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Top Papers
- 1