Zhiping Tan
Papers
2
Total Citations
57
H-Index
2
About
Zhiping Tan is a leading researcher in agricultural robotics and computer vision, with a primary focus on intelligent fruit detection and automated harvesting systems. His major contributions lie in developing advanced deep learning and binocular vision techniques to address the critical challenges of citrus fruit detection and localization in complex orchard environments. Tan's most-cited work, "Detection and localization of citrus fruit based on improved You Only Look Once v5s and binocular vision in the orchard" (2022, 40 citations), introduces a sophisticated method that overcomes issues of variable illumination and occlusion, significantly enhancing the accuracy of mature fruit identification for harvesting robots. Building on this, his 2024 study on "Detection and localization of citrus picking points based on binocular vision" (17 citations) further refines precision by targeting optimal picking points, a key step toward fully autonomous fruit collection. Tan's research is notable for its practical impact, directly advancing the feasibility of automated harvesting in agriculture. His work is essential reading for students and researchers in precision agriculture, robotics, and computer vision, offering robust solutions that bridge the gap between laboratory algorithms and real-world orchard applications.
Research Focus
Key Achievements
Top Papers
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- 2