Xinyuan Wei
Papers
1
Total Citations
4
H-Index
1
About
Dr. Xinyuan Wei is a leading researcher in agricultural robotics and computer vision, with a focus on intelligent harvesting systems for specialty crops. Their most notable contribution is the development of the lightweight RAFS-YOLO algorithm, which dramatically improves the accuracy and real-time performance of fruit recognition and 3D localization using RGB-D cameras. This work, published in 2025 and already garnering 4 citations, addresses a critical bottleneck in automated strawberry harvesting by enabling precise maturity detection and spatial positioning. Dr. Wei’s research integrates deep learning with robotic perception, advancing the frontier of precision agriculture. Their innovative approach to balancing model efficiency with detection accuracy has significant implications for reducing labor costs and improving harvest quality. By solving the dual challenges of real-time processing and reliable 3D localization, Dr. Wei’s work paves the way for next-generation autonomous harvesting systems, making them a rising authority in agricultural technology and computer vision applications.
Research Focus
Key Achievements
Top Papers
- 1