Fusheng Lin

Papers

Total Citations

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About

Fusheng Lin is a researcher at the forefront of applying computer vision and robotics to agricultural pest management. His work focuses on developing automated, intelligent systems for the detection, segmentation, and recognition of crop-threatening insects, addressing the critical need for precision agriculture. Lin’s major contributions include pioneering a method that combines Gaussian Mixture Models (GMM) with Distance Regularized Level Set Evolution (DRLSE) for the automatic detection and segmentation of pests, a technique that enhances both accuracy and efficiency while reducing human labor. This work, published in 2019, has garnered 4 citations, reflecting its foundational role in the field. Additionally, Lin advanced the recognition of Pyralidae insects—a family of significant agricultural pests—by integrating histogram reverse mapping and invariant moment features into an unmanned monitoring robot. This 2018 study, with 2 citations, demonstrates his commitment to deploying autonomous systems for real-time, objective pest identification. Through these innovations, Lin is helping to transform traditional, labor-intensive pest monitoring into a data-driven, automated process, offering scalable solutions for sustainable agriculture.