Chunhua Yang
Papers
3
Total Citations
52
H-Index
3
About
Chunhua Yang is a researcher focused on agricultural robotics and intelligent detection systems, with particular emphasis on tea harvesting automation and industrial quality inspection. Her most significant contribution is the development of an edge device detection method for identifying tea leaves with one bud and two leaves, based on ShuffleNetv2-YOLOv5-Lite-E. This work, which has garnered 41 citations, addresses a critical challenge in precision agriculture by enabling tea-picking robots to accurately recognize harvestable leaves in real time on resource-constrained devices. Yang has also advanced the mechanical design of tea harvesting systems through her work on a 6-DOF Stewart parallel lifting platform, which enhances the operational scope and precision of robotic arms for assisted tea leaf picking. Additionally, she has contributed to industrial quality control with a two-stage UNet network for ingot oxide slag detection, employing mixed supervised learning to improve defect identification. Her research bridges the gap between deep learning, edge computing, and agricultural robotics, demonstrating practical solutions for automation in both farming and manufacturing.
Research Focus
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