Huaian Yi
Papers
2
Total Citations
15
H-Index
2
About
Huaian Yi is a researcher advancing the field of agricultural automation and environmental monitoring through deep learning and computer vision. His primary research areas include intelligent fruit detection and localization for robotic harvesting, as well as waste detection in natural waterways. Yi’s major contributions center on developing novel neural network architectures that overcome real-world challenges such as variable lighting, occlusion, and complex backgrounds. Notably, he proposed GTR-Net, a model integrated with binocular vision technology for precise watermelon detection and localization, addressing the labor-intensive nature of fruit picking. This work has garnered 9 citations since 2024. Additionally, Yi introduced YOLOv7-GCM, an improved detection algorithm for identifying creek waste, achieving 6 citations. His research demonstrates a practical focus on deploying AI solutions for agriculture and environmental sustainability, with potential applications in autonomous robotics and smart monitoring systems. By tackling difficult detection scenarios, Yi’s work contributes to reducing manual labor and improving efficiency in both food production and ecological conservation.
Research Focus
Key Achievements
Top Papers
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