Yuhang Sui

Papers

Total Citations

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About

Yuhang Sui is a rising researcher in agricultural robotics and precision fruit harvesting, with a focus on deep learning for automated orchard operations. Their work centers on two critical challenges in apple harvesting: fast, accurate fruit detection in unstructured environments, and precise fruit stalk cutting to preserve post-harvest quality. Sui’s major contributions include the development of the improved YOLOv5s-GBR model, which enhances detection speed and accuracy for orchard apples, addressing the limitations of traditional methods in complex, natural settings. Building on this, Sui proposed an innovative dual-camera, two-stage system using improved YOLOv8 for simultaneous detection of apples and their stalks, enabling precise shearing that minimizes fruit damage. This work models and evaluates stalk shearing mechanics, directly impacting fruit quality retention. With over 7 cumulative citations from their most-cited papers published in 2024–2025, Sui’s research is gaining traction for its practical, engineering-oriented approach to automating a labor-intensive agricultural task. Their achievements demonstrate a clear trajectory from foundational detection to integrated robotic manipulation, marking Sui as a promising contributor to the future of smart farming and agricultural automation.