Qiong Xiao
Papers
1
Total Citations
8
H-Index
1
About
Qiong Xiao is a researcher at the forefront of agricultural robotics and precision horticulture, with a primary focus on intelligent fruit detection, localization, and yield estimation using computer vision and depth-sensing technologies. Her work addresses critical challenges in automated harvesting and orchard management, particularly for high-value crops like bananas. In her most cited paper, "Banana Bunch Weight Estimation and Stalk Central Point Localization in Banana Orchards Based on RGB-D Images" (2024, 8 citations), she developed a novel method for precisely estimating banana bunch weight and identifying the stalk’s central point—essential for robotic harvesting and timely crop management. This contribution has significant implications for reducing labor costs and improving efficiency in commercial banana production. Xiao’s research integrates RGB-D imaging with advanced algorithms to enable real-time, non-destructive assessment of fruit attributes, bridging the gap between computer vision and practical agricultural applications. Her work is gaining recognition for its potential to transform smart farming practices, making her a notable emerging voice in precision agriculture and intelligent harvesting systems.
Research Focus
Key Achievements
Top Papers
- 1