Papers
5
Total Citations
100
H-Index
4
About
Dr. Jiangbo Li is a leading researcher at the intersection of artificial intelligence, agricultural robotics, and smart manufacturing. His work focuses on developing intelligent systems for precision agriculture, including non-destructive fruit quality assessment and autonomous navigation for agricultural robots. Dr. Li’s most cited paper, “Optimization and comparison of models for prediction of soluble solids content in apple by online Vis/NIR transmission coupled with diameter correction method” (2020, 48 citations), pioneered a novel approach to predicting apple sweetness using visible and near-infrared spectroscopy, significantly improving accuracy through diameter correction. He has also made substantial contributions to autonomous navigation for corn spraying robots, with papers like “Navigation line extraction algorithm for corn spraying robot based on YOLOv8s‐CornNet” (2024, 24 citations) and its improved version using LT-YOLOv10s (2025, 9 citations), which leverage deep learning for robust, real-time guidance in complex field environments. Beyond agriculture, Dr. Li has explored smart factory design for shipyards (2023, 15 citations) and trajectory optimization for flexible parallel robots in tomato packaging (2024, 4 citations), demonstrating a broad impact across automation and robotics. With over 100 total citations, his work is driving the future of intelligent, automated systems in both agriculture and industry.
Research Focus
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