Haoxin Li
Papers
2
Total Citations
69
H-Index
2
About
Haoxin Li is a leading researcher at the intersection of agricultural robotics and computer vision, with a primary focus on advancing intelligent perception systems for automated crop harvesting. His work centers on developing robust target recognition and segmentation technologies that enable picking robots to operate effectively in complex, unstructured agricultural environments. Li’s most influential contribution is his comprehensive 2023 review on target recognition technology for fruit-picking robots, which has garnered 62 citations and serves as a foundational resource for researchers transitioning from traditional digital image processing to deep learning approaches. This work systematically analyzes how machine vision enhances the efficiency and quality of fruit harvesting. More recently, Li has tackled the particularly challenging problem of tea bud leaf segmentation, introducing a novel network that leverages attention mechanisms and path feature aggregation to handle multi-shape targets and occlusion. This 2024 publication, with 7 citations, addresses a critical bottleneck in the automation of tea picking. By bridging the gap between advanced deep learning architectures and practical agricultural applications, Li’s research is directly shaping the next generation of intelligent, autonomous harvesting systems.
Research Focus
Key Achievements
Top Papers
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- 2