Zhiyi Zhang
Papers
3
Total Citations
22
H-Index
2
About
Zhiyi Zhang’s research sits at the intersection of intelligent sensing, computer vision, and agricultural automation. Their most influential work applies a convolution neural network algorithm, integrated with intelligent sensor networks, to target recognition in corn weeding at the seedling stage—a practical solution to grass damage that threatens crop growth and invites pests. This paper has earned 13 citations, reflecting its relevance to precision agriculture. Zhang also advanced imaging technology with a practical method for correcting fisheye lens distortion into perspective projection images, a contribution cited 8 times that supports applications in robotic vision and surveillance. More recently, their 2024 study on the evolution of point cloud extraction techniques—from Structure from Motion (SFM) to Simultaneous Localization and Mapping (SLAM)—tackles the computational inefficiency of traditional SFM for 3D reconstruction, offering a pathway to faster, more scalable spatial mapping. Across these works, Zhang demonstrates a commitment to solving real-world problems, from crop management to visual distortion, with innovative algorithmic approaches that bridge theory and application.
Research Focus
Key Achievements
Top Papers
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