Qiong Su
Papers
2
Total Citations
39
H-Index
2
About
Dr. Qiong Su is a leading researcher in agricultural computer vision and intelligent pest monitoring, with a focus on developing practical, deployable solutions for precision agriculture. Her work bridges the gap between high-accuracy detection algorithms and real-world field conditions. Dr. Su’s major contributions include pioneering methods for robust image segmentation under challenging natural light, as demonstrated in her highly cited 2019 paper on shadow detection and removal in apple images using an ultrametric contour map (35 citations). This work directly addressed a critical bottleneck for automated fruit grading and yield estimation. More recently, she has advanced the field of real-time pest monitoring with the development of RSCDet, a novel lightweight detection model optimized for embedded systems. Her 2025 paper showcases the successful deployment of this model on a low-cost NVIDIA Jetson TX2 NX device, enabling continuous, on-site aphid detection in cereal crops. This integrated system represents a significant step toward affordable, autonomous pest management. With her work accumulating over 39 citations, Dr. Su is recognized for translating complex computer vision research into tangible, field-ready tools that empower farmers and enhance global food security.
Research Focus
Key Achievements
Top Papers
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