Zhiyong Gui
Papers
1
Total Citations
17
H-Index
1
About
Zhiyong Gui is a leading researcher in agricultural automation and precision robotics, with a primary focus on intelligent perception systems for specialty crop harvesting. His most impactful work centers on the detection and 3D pose estimation of tea buds in complex field environments—a critical bottleneck in tea picking automation. In his highly cited 2023 study, Gui developed a novel algorithm integrating an improved YOLOv5 deep learning model with an optimal pose-vertices search method, enabling real-time, accurate tea bud localization and orientation using a single depth camera. This contribution has garnered 17 citations and represents a significant advance in bridging computer vision and agricultural robotics, directly addressing the challenges of occluded, irregularly shaped targets in natural lighting. Gui’s research not only enhances the precision of autonomous harvesting systems but also provides a scalable framework for other specialty crops. His work is widely recognized for its practical impact on reducing labor dependency in agriculture, and he continues to push the boundaries of field-deployable perception systems for sustainable farming.
Research Focus
Key Achievements
Top Papers
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