Xiaoyan Shi
Papers
1
Total Citations
2
H-Index
1
About
Xiaoyan Shi is a researcher focused on the intersection of agricultural automation and computer vision, with a particular emphasis on intelligent robotics for controlled environments. Her most-cited work, "Geometric Positioning and Color Recognition of Greenhouse Electric Work Robot Based on Visual Processing" (2020), addresses a critical challenge in precision agriculture: enabling robots to autonomously navigate and interact with crops using visual processing. By integrating geometric positioning with color recognition algorithms, Shi's research contributes to the development of more efficient, automated systems for greenhouse operations, reducing reliance on manual labor and improving production consistency. While her citation count is still growing—reflecting the emerging nature of this field—her work lays foundational groundwork for the next generation of smart agricultural tools. Her contributions are particularly relevant as the industry pushes toward higher automation and data-driven decision-making in food production. For students and researchers interested in agricultural robotics, computer vision, or applied automation, Shi's research offers a practical entry point into how visual processing can transform traditional farming practices into high-tech, efficient systems.
Research Focus
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Top Papers
- 1