Jiya Yu
Papers
1
Total Citations
71
H-Index
1
About
Jiya Yu is a leading researcher in agricultural robotics and edge intelligence, with a focus on deploying deep learning for real-time field automation. Their most-cited work, a 2023 study on convolutional neural network-based semantic segmentation for agricultural robot navigation, has garnered 71 citations and demonstrates a pivotal contribution: enabling autonomous navigation line extraction directly on low-power edge devices. This innovation bridges the gap between high-accuracy computer vision and practical, on-field deployment, reducing reliance on cloud computing and improving robot responsiveness in dynamic farming environments. Yu’s research addresses critical challenges in precision agriculture, including robust perception under variable lighting and terrain conditions. By integrating semantic segmentation with edge computing, they have advanced the feasibility of cost-effective, real-time agricultural robots. Their work is widely referenced by engineers and agritech developers, underscoring its impact on scalable, intelligent farming solutions. Yu continues to explore the intersection of embedded AI and autonomous systems, driving progress toward fully automated crop management.
Research Focus
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Top Papers
- 1