Qiuxia Li

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About

Qiuxia Li is a rising researcher at the forefront of smart agriculture and intelligent robotics, with a focused expertise in computer vision and deep learning for precision orchard management. Her work addresses a critical bottleneck in autonomous agricultural navigation: the reliable detection of fruit tree trunks in complex, natural environments where trunks often blend into their background. In her highly cited 2025 study, "PCC-YOLO: A Fruit Tree Trunk Recognition Algorithm Based on YOLOv8," Li introduces an innovative enhancement to the YOLOv8 architecture, significantly improving detection accuracy and robustness for orchard robots. This contribution is foundational for enabling self-navigating agricultural machinery, reducing reliance on manual labor and enhancing operational efficiency. With her work already garnering early citations, Li is establishing herself as a key contributor to the next generation of smart farming technologies, bridging the gap between advanced AI algorithms and practical, real-world agricultural applications. Her research promises to drive the future of autonomous orchard management.