Papers
1
Total Citations
10
H-Index
1
About
Dr. Yang Xiao is a leading researcher at the intersection of computer vision and smart agriculture, with a primary focus on developing lightweight, high-performance neural networks for precision farming. His most cited work, "LCA-Net: A Lightweight Cross-Stage Aggregated Neural Network for Fine-Grained Recognition of Crop Pests and Diseases" (2023, 10 citations), addresses a critical challenge in deploying AI on resource-constrained agricultural robots and IoT devices. By designing a cross-stage aggregated architecture that balances accuracy with computational efficiency, Dr. Xiao enables real-time, fine-grained pest and disease identification directly in the field—a breakthrough for autonomous unmanned systems. This work has significant implications for reducing crop loss and minimizing pesticide overuse through targeted interventions. Dr. Xiao’s contributions are particularly notable for bridging the gap between state-of-the-art deep learning and practical, deployable agricultural technology. His research continues to push the boundaries of edge AI, making sophisticated computer vision accessible for the next generation of smart farming solutions.
Research Focus
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Top Papers
- 1