Daozong Sun
Papers
2
Total Citations
52
H-Index
2
About
Daozong Sun is a leading researcher in agricultural robotics and computer vision, with a primary focus on automating the harvesting of litchi fruit. His work addresses critical challenges in precision agriculture, specifically developing deep learning models that enable robots to perceive and interact with complex natural environments. Sun’s major contributions include the creation of the YOLOv5-Litchi model, an advanced object detection system that achieves high-accuracy litchi identification for yield estimation and robotic picking, garnering 36 citations. He also pioneered an improved DeepLabv3+ segmentation method for precisely delineating litchi branches, a fundamental requirement for successful automated harvesting, which has been cited 16 times. By tackling the dual problems of fruit detection and branch segmentation under natural, unstructured conditions—such as varying lighting and occlusions—Sun’s work provides the foundational perception technology for intelligent picking robots. His research directly advances the efficiency and reliability of agricultural automation, offering practical solutions for the litchi industry and contributing to the broader field of robotic vision in agriculture.
Research Focus
Key Achievements
Top Papers
- 1
- 2Method for Segmentation of Litchi Branches Based on the Improved DeepLabv3+16 citations · 2022