Haobo Sun
Papers
1
Total Citations
34
H-Index
1
About
Haobo Sun is a leading researcher in agricultural robotics and intelligent vision systems, with a primary focus on precision detection and autonomous harvesting technologies. His most notable contribution is the development of a real-time Zanthoxylum (prickly ash) target detection method for intelligent picking robots, published in 2022 and cited 34 times. This work addresses a critical challenge in agricultural automation: accurately identifying fruit obscured by branches, leaves, or other fruit in complex natural environments. By improving the YOLOv5s architecture, Sun’s algorithm significantly enhances the adaptability and efficiency of picking robots, enabling them to operate effectively under real-world field conditions. His research bridges the gap between deep learning and practical agricultural applications, offering robust solutions for crop recognition in non-ideal settings. Sun’s work has direct implications for reducing labor costs and increasing harvest precision, making him a key figure in the advancement of smart agriculture. His contributions continue to inspire further innovations in robotic perception and automated crop management systems.
Research Focus
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Top Papers
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