Papers
2
Total Citations
43
H-Index
2
About
Mingyang Lu is an emerging researcher at the intersection of agricultural automation, machine vision, and smart sensing technologies. His work focuses on developing intelligent systems that modernize and optimize crop harvesting processes, addressing critical challenges in agricultural industrialization. Lu's most notable contribution applies YOLO-based deep learning architectures to real-time object detection and robotic manipulation in agricultural settings, enabling automated crop identification that significantly enhances harvesting efficiency — a paper that has already garnered 29 citations since its 2024 publication, reflecting rapid uptake within the precision agriculture community. Complementing this computational work, Lu has also pioneered advances in sustainable sensing hardware, developing a self-powered flexible force-sensing sensor based on triboelectric nanogenerator technology, with practical applications in the non-destructive harvesting of fresh fruits and vegetables — demonstrating his commitment to protecting crop integrity during automated handling. With 14 citations accrued by this 2025 publication within a short timeframe, Lu's interdisciplinary approach — bridging robotics, machine learning, and energy-harvesting materials science — positions him as a promising contributor to the future of smart, sustainable agricultural automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2