Xiaoxuan Sun
Papers
1
Total Citations
52
H-Index
1
About
Xiaoxuan Sun is a researcher specializing in precision agriculture and remote sensing, with a particular focus on the detection and localization of fruit crops using unmanned aerial vehicle (UAV) imagery. Her most cited work, "Fast detection and location of longan fruits using UAV images" (2021, 52 citations), introduces an efficient method for identifying and mapping longan fruits from aerial data, significantly advancing automated crop monitoring and yield estimation. This contribution addresses critical challenges in agricultural technology, such as real-time fruit detection in complex orchard environments, and has been widely recognized for its practical applications in smart farming. Sun’s research integrates computer vision, machine learning, and UAV-based sensing to enhance agricultural productivity and sustainability. Her work not only demonstrates high-impact results—evidenced by the citation count of her flagship paper—but also sets a foundation for future studies in fruit detection and spatial analysis. Through her innovative approaches, Sun has established herself as a key contributor to the intersection of remote sensing and agricultural engineering, inspiring further exploration in automated crop management and precision agriculture.
Research Focus
Key Achievements
Top Papers
- 1Fast detection and location of longan fruits using UAV images52 citations · 2021