Yongsheng Si

Hebei Agricultural University, China Agricultural University

Papers

Total Citations

179

H-Index

About

Yongsheng Si is a leading researcher in agricultural robotics and machine vision, with a focus on automating fruit harvesting and field navigation. His work centers on developing intelligent systems that enable robots to perceive and interact with complex agricultural environments. Si’s major contributions include pioneering methods for the recognition and spatial location of apples in trees using stereoscopic vision, a foundational technique for robotic harvesting that has garnered 109 citations. He also advanced autonomous navigation by creating a robust machine vision system for detecting crop rows, enabling agricultural robots to perform tasks like weeding, spraying, and fertilizing with precision. His 2010 paper on this topic, with 37 citations, introduced a novel approach for reliable row recognition under varying field conditions. Additionally, Si developed auto-recognition algorithms for harvest robot navigation paths and fruit location, further solidifying his impact. With over 179 citations across his most-cited works, Si’s research has significantly influenced the design of practical, vision-guided agricultural robots, bridging the gap between computer vision and real-world farming applications.