Xiuyun Xue
Papers
1
Total Citations
21
H-Index
1
About
Xiuyun Xue is a leading researcher in agricultural robotics and precision orchard management, with a focus on intelligent perception systems for fruit tree operations. Her work centers on developing advanced computer vision and deep learning techniques to enable accurate, real-time canopy segmentation—a critical step for automated spraying, fertilization, and harvesting in complex orchard environments. Her most cited paper, "Citrus Tree Canopy Segmentation of Orchard Spraying Robot Based on RGB-D Image and the Improved DeepLabv3+" (2023, 21 citations), addresses the challenge of segmenting citrus tree canopies against cluttered backgrounds. By integrating RGB-D imagery with an enhanced DeepLabv3+ architecture, she achieved robust segmentation that significantly improves the precision of robotic spraying, reducing chemical waste and environmental impact. This contribution has garnered attention from both agricultural engineering and robotics communities, underscoring its practical value. Xue’s research bridges the gap between theoretical computer vision and field-deployable solutions, laying the groundwork for next-generation, data-driven precision agriculture. Her ongoing work continues to push the boundaries of autonomous orchard management, making her a key figure in the evolution of smart farming technologies.
Research Focus
Key Achievements
Top Papers
- 1