W. C. Yan
Papers
1
Total Citations
2
H-Index
1
About
W. C. Yan is a leading researcher in precision agriculture and computer vision, with a primary focus on developing efficient, real-time object detection systems for automated harvesting in complex orchard environments. Their most notable contribution is the introduction of FSA-DETR-P, a lightweight detection framework that optimizes the RT-DETR architecture with an efficiency-oriented backbone and adaptive scale fusion. This work directly tackles critical challenges in agricultural automation, including illumination inconsistency, fruit occlusion, and scale variation, enabling high-performance pomegranate detection on resource-limited edge devices. With 2 citations in just 2025, this paper has quickly gained attention for its practical impact on sustainable farming. Yan’s research bridges the gap between advanced deep learning models and real-world agricultural constraints, offering scalable solutions that reduce computational demands without sacrificing accuracy. Their work is essential reading for students and researchers interested in edge AI, smart agriculture, and the deployment of vision systems in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1