Wenxia Yuan
Papers
2
Total Citations
47
H-Index
2
About
Wenxia Yuan is a leading researcher in agricultural robotics, with a primary focus on intelligent tea harvesting systems. Her work addresses the critical challenge of automating the selective picking of premium tea leaves, specifically targeting the high-value "one bud and two leaves" standard. Yuan's most influential contribution is the development of ShuffleNetv2-YOLOv5-Lite-E, a lightweight deep learning model designed for edge devices. This innovation, detailed in her 2023 paper (41 citations), enables tea-picking robots to accurately detect and locate target leaves in real-time, directly on the robot's onboard computer, overcoming the limitations of cloud-dependent processing. Further advancing the field, her 2024 work on a 6-DOF Stewart parallel lifting platform (6 citations) explores the mechanical design for a stable, multi-degree-of-freedom base that enhances the robotic arm's reach and precision during harvest. By integrating efficient computer vision with novel robotic hardware, Yuan is pioneering practical, deployable solutions for precision agriculture, significantly improving the speed and accuracy of automated tea picking.
Research Focus
Key Achievements
Top Papers
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