Papers
6
Total Citations
165
H-Index
6
About
Qiyu Han is a leading researcher in agricultural robotics and intelligent harvesting systems, with a focus on developing AI-driven solutions for fruit picking. His work centers on computer vision, deep learning, and image processing to enable robots to detect, localize, and assess the ripeness of high-value crops like litchi, strawberries, and citrus. Han’s major contributions include the creation of novel models such as YOLOv8+ for strawberry ripeness classification and Litchi-YOSO for precise picking point localization, achieving a 91.5% success rate in natural environments. His research on the R-LBP algorithm and YOLO-CIT model for citrus ripeness identification has advanced yield estimation and harvesting path planning. With over 165 citations across his most-cited papers, Han’s impact is evident in his 2023 study on litchi picking robots (58 citations) and his 2024 review of perception technologies for berry fruit-picking robots, which provides a comprehensive analysis of challenges and prospects. His work is instrumental in addressing labor shortages and reducing fruit damage in agriculture, making him a key figure in the field of precision agriculture and robotic harvesting.
Research Focus
Key Achievements
Top Papers
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