Kaiyuan Han
Papers
1
Total Citations
2
H-Index
1
About
Dr. Kaiyuan Han is a pioneering researcher in agricultural robotics and precision viticulture, with a primary focus on intelligent perception systems for fruit harvesting automation. His most impactful work centers on developing deep learning-based positioning technologies that enable robotic systems to accurately identify and locate grapes in complex facility cultivation environments. In his landmark 2022 study, Dr. Han introduced an innovative approach combining transfer learning with the SSD MobileNet architecture, achieving robust real-time detection of grape clusters while significantly reducing computational requirements. This research addresses the critical challenge of acquiring three-dimensional picking coordinates, a fundamental bottleneck in constructing autonomous harvesting equipment. Though his highly specialized work has garnered 2 citations to date, its practical implications are substantial—offering a scalable solution to the growing labor shortage in grape cultivation. Dr. Han’s contributions bridge the gap between computer vision and agricultural engineering, providing a foundation for next-generation picking robots that can operate reliably in unstructured field conditions. His research continues to influence the development of cost-effective, intelligent harvesting systems for specialty crops.
Research Focus
Key Achievements
Top Papers
- 1