Ruirui Zhang

Beijing Academy of Agricultural and Forestry Sciences

Papers

Total Citations

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About

Ruirui Zhang is a leading researcher at the forefront of agricultural robotics and precision agriculture, specializing in the integration of artificial intelligence and computer vision for autonomous farming systems. Her work focuses on developing robust navigation and path-planning algorithms for agricultural robots operating in complex, unstructured environments, particularly in orchards, tea gardens, and corn fields. Zhang’s major contributions include the creation of advanced semantic segmentation models and deep learning frameworks, such as YOLOv8s-CornNet, which enable real-time, accurate navigation line extraction for spraying and harvesting robots. Her 2022 paper on UAV-based semantic segmentation for orchards has garnered 47 citations, underscoring its impact on autonomous field operations. Notably, her 2025 work on tea harvest robot navigation addresses the critical challenge of GNSS-denied environments in hilly terrains, offering a visual sensor-based solution that ensures precise canopy following. With a growing citation record and a focus on bridging AI with practical agricultural needs, Zhang’s research is pivotal in advancing smart agriculture, making her a key figure in the development of next-generation autonomous farming technologies.