Xianfang Sun
Papers
2
Total Citations
13
H-Index
2
About
Xianfang Sun is a leading researcher in agricultural robotics and computer vision, with a core focus on developing intelligent systems for autonomous fruit harvesting. His work addresses the critical challenge of enabling robots to accurately perceive and interact with crops in complex, unstructured field environments. Sun’s major contributions lie in advancing deep learning methods for fruit detection and ripeness determination under occlusion. His highly cited paper, “A novel self-supervised method for in-field occluded apple ripeness determination” (2025, 7 citations), pioneers a technique to overcome visual obstruction from leaves and trunks, a fundamental bottleneck for harvesting robots. Complementing this, his work “FruitQuery: A lightweight query-based instance segmentation model for in-field fruit ripeness determination” (2025, 6 citations) introduces an efficient model for segmenting fruits at multiple ripeness stages, validated on combined datasets of peaches and strawberries. These innovations are pivotal for creating reliable, real-time perception systems that can operate in the wild, directly impacting the viability of autonomous agriculture. Sun’s research is essential reading for anyone working at the intersection of computer vision, robotics, and precision agriculture.
Research Focus
Key Achievements
Top Papers
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