Papers
3
Total Citations
40
H-Index
2
About
Dr. Weiyue Xu is a pioneering researcher at the intersection of agricultural robotics, computer vision, and precision engineering. Her work primarily focuses on developing intelligent sensing and robotic systems for real-world agricultural and industrial applications. Dr. Xu’s most impactful contribution is her 2019 study on shadow detection and removal in apple image segmentation under natural light, which has garnered 35 citations and provides a critical foundation for robust fruit-harvesting vision systems. More recently, she has advanced real-time pest monitoring with the development of RSCDet, a novel lightweight detection model deployed on low-cost embedded systems like the NVIDIA Jetson TX2 NX, enabling practical, on-device aphid detection in cereal crops. Demonstrating her versatility in mechanical design, Dr. Xu has also engineered an adsorbable continuum robot for the *in situ* inspection of aeroengine blades, addressing key challenges in structural stiffness and load capacity. Her work bridges the gap between high-performance algorithms and deployable hardware, with her 2025 publications already attracting attention for their practical impact. Dr. Xu’s research is essential reading for anyone interested in smart agriculture, field-deployable AI, and robotic inspection systems.
Research Focus
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Top Papers
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