Bingbo Cui
Papers
2
Total Citations
41
H-Index
2
About
Bingbo Cui is a leading researcher in agricultural robotics and smart farming, with a focus on autonomous navigation and precision harvesting. His work addresses critical challenges in unmanned farm operations, particularly in full-field path tracking for agricultural machinery. In his highly cited 2022 paper (36 citations), Cui developed a PSO-enhanced Fuzzy Stanley model that significantly improves the accuracy and robustness of autonomous navigation across entire farmland environments, overcoming limitations of prior approaches that struggled with complex field conditions. More recently, his 2025 research on stereo vision-based broccoli recognition introduces the YOLO-Broccoli-Seg model, an improved YOLOv8n-seg architecture that enables real-time segmentation of broccoli in cluttered field backgrounds and accurately estimates the attitude of tilt-growing crops—a key advancement for robotic harvesting end-effectors. Cui’s contributions are pivotal to the realization of smart agriculture, bridging the gap between theoretical navigation models and practical, field-ready robotic systems. His work has garnered attention for its direct applicability to reducing labor demands and increasing efficiency in modern farming, marking him as an influential figure in agricultural automation.
Research Focus
Key Achievements
Top Papers
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