Papers
2
Total Citations
22
H-Index
2
About
Yufei Shi is an emerging researcher at the intersection of optical sensing and precision agriculture, with a focus on developing intelligent sensor systems and robotic perception technologies. Their most notable contribution is the development of a high-recovery-speed optical humidity sensor using graphene quantum dots (GQDs), which enables non-contact finger distance detection—a breakthrough for human-machine interaction and environmental monitoring. This work, published in 2024, has already garnered 16 citations, signaling strong early impact. In parallel, Shi has advanced agricultural robotics by designing a growth-characteristics-based multi-class kiwifruit bud detection system, employing an overlap-partitioning algorithm to enhance robotic thinning accuracy. With 6 citations since its 2024 publication, this work demonstrates practical value for automated orchard management. Shi’s research uniquely bridges nanomaterial-based sensing and computer vision for agriculture, offering scalable solutions for both smart environments and precision farming. Their ability to integrate fundamental materials science with applied robotics marks them as a versatile innovator, with future work likely to further explore real-time, non-contact sensing and intelligent crop management systems.
Research Focus
Key Achievements
Top Papers
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