Yichen Qiao

Northwest A&F University, China Agricultural University

Papers

Total Citations

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About

Yichen Qiao is a leading researcher in agricultural robotics and computer vision, with a focused expertise in developing intelligent perception systems for jujube fruit harvesting. Their work centers on solving critical challenges in vibration harvesting robotics, particularly through advanced deep learning architectures for tree structure analysis. Qiao's most impactful contribution is the AGHRNet (Attention Ghost-HRNet), a novel network that precisely confirms catch-and-shake locations during jujube fruit vibration harvesting, which has garnered 47 citations since 2023. This builds on their earlier work developing an improved PSPNet-based method for trunk diameter measurement (19 citations), essential for optimizing harvester effectiveness. Most recently, Qiao introduced a salient object detection method for jujube tree trunk and branch perception (8 citations, 2024), further advancing robotic visual perception in complex orchard environments. Their research uniquely bridges computer vision and agricultural engineering, enabling more efficient and automated fruit harvesting. With a cumulative citation count exceeding 70, Qiao's work is increasingly recognized as foundational for the next generation of intelligent agricultural robots, particularly in specialty crop harvesting where precision and adaptability are paramount.