Geng Bai
Papers
3
Total Citations
125
H-Index
2
About
Geng Bai is a pioneering researcher at the intersection of precision agriculture, robotics, and wireless communications. His work focuses on developing integrated sensing and robotic systems for high-throughput plant phenotyping, aiming to bridge the critical gap between genotyping and phenotyping to accelerate crop improvement. Bai’s most impactful contribution is the development of NU-Spidercam, a large-scale, cable-driven robotic sensing system for field-based phenotyping and remote sensing, which has garnered 112 citations and represents a transformative tool for agronomic research. He has also advanced the application of millimeter-wave (mmWave) technology in agricultural networks, modeling high-throughput wireless channels to support autonomous ground vehicles, UAVs, and connected machinery on farms. Additionally, Bai has explored crop sensing techniques for precision agriculture, contributing to the broader understanding of how sensor data can optimize farming practices. His work is notable for its interdisciplinary approach, merging robotics, wireless engineering, and agronomy to address real-world challenges in food production and sustainability.
Research Focus
Key Achievements
Top Papers
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