Baijing Qiu

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About

Baijing Qiu is a leading researcher in agricultural robotics and precision spraying technology, whose work bridges the gap between traditional farming practices and cutting-edge automation. Her primary research areas include intelligent navigation systems for agricultural robots, sensor fusion for orchard environments, and the optimization of crop protection through advanced spraying techniques. Qiu’s most impactful contribution is her 2021 paper on "Advancements of Spraying Technology in Agriculture," which has garnered 21 citations and provides a comprehensive analysis of pesticide application methods, addressing critical challenges in crop production efficiency and environmental safety. In her 2025 study on "Vision and 2D LiDAR Fusion-Based Navigation Line Extraction for Autonomous Agricultural Robots in Dense Pomegranate Orchards" (7 citations), she pioneered a novel approach integrating YOLOv8-ResCBAM with LiDAR to overcome the limitations of single-sensor navigation in complex, dense planting systems—a breakthrough that enhances autonomous robot reliability in real-world orchards. Her earlier work on "Avoiding barriers in control of mowing robot" (2006, 3 citations) laid foundational insights for obstacle avoidance. With a career focused on sustainable, high-efficiency agriculture, Qiu’s research is instrumental in advancing smart farming technologies, offering practical solutions for reducing chemical waste and improving crop yields. Her fusion-based navigation method, in particular, stands out as a significant achievement, promising to revolutionize autonomous operations in challenging agricultural landscapes.