Fangtao Duan

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About

Fangtao Duan is a pioneering researcher in agricultural robotics and precision farming, whose work focuses on integrating advanced computer vision and deep learning to automate sustainable food production. His key research areas include vision-based navigation for agricultural robots, crop row detection, and intelligent weed management systems. Duan’s major contributions center on developing robust navigation line extraction methods that overcome challenges like complex field backgrounds, weed interference, and variable lighting conditions. His 2022 paper on adaptive multi-ROI navigation using semantic segmentation, with 21 citations, introduced a powerful framework for enabling precise robot movement in unstructured farm environments. He further advanced the field by combining crop row detection with RANSAC algorithms for light-independent navigation. Most notably, his 2024 work on static laser weeding systems leverages improved YOLOv8 and image fusion to achieve high-precision weed control, addressing a critical bottleneck in organic agriculture. With a growing citation impact, Duan’s research directly supports the transition toward automated, chemical-free farming, making him a key figure in smart agriculture innovation.