Wenqi Niu

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About

Wenqi Niu is a leading researcher in agricultural robotics and intelligent automation, with a focused expertise in visual navigation systems for precision farming. Niu’s major contributions center on developing robust, vision-based navigation methods that enable agricultural robots to operate autonomously in complex, real-world field environments. Notably, Niu pioneered the use of K-means clustering algorithms for large-scale image segmentation to solve the critical challenge of navigation path recognition under uneven illumination and cluttered backgrounds—a breakthrough that significantly improves accuracy in autonomous guidance. This foundational work, published in 2019, has garnered 12 citations and remains a key reference in the field. Niu further advanced the domain by designing a complete visual navigation system for a tracked farmland robot using low-cost hardware like Raspberry Pi and monocular cameras, integrating grayscale conversion, median filtering, and Otsu thresholding for reliable path detection. Additionally, Niu’s research on a spraying and fertilization robot with visual navigation (9 citations) demonstrates the practical application of these technologies to reduce labor and boost efficiency in modern agriculture. Through these contributions, Niu has established a strong impact on the development of intelligent, autonomous agricultural machinery.