Shuailing Zhao

Papers

Total Citations

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About

Shuailing Zhao is a leading researcher in agricultural robotics and intelligent vision systems, with a focus on enabling autonomous navigation in complex field environments. His work addresses the critical challenge of making agricultural robots both flexible and adaptable under real-world conditions. Zhao’s most cited paper (2020, 32 citations) introduces an adaptive vision navigation algorithm for the agricultural Internet of Things (IoT), using binocular vision to guide smart robots through unstructured terrain. He also developed a pioneering crop row recognition algorithm (2016, 9 citations) that models structural parameters to identify rows under challenging field conditions—a key step for precision agriculture. Additionally, Zhao proposed a novel turning model for agricultural robots (2016, 8 citations) that uses tri-axial acceleration sensors and radial/tangent methods to calculate turning angles in real time, improving maneuverability. His contributions bridge computer vision, IoT, and robotics, directly impacting the development of autonomous farming systems. With a growing citation record and a focus on practical, deployable solutions, Zhao is shaping the future of smart agriculture.