Yang HuiHua

Papers

Total Citations

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About

Yang HuiHua is a pioneering researcher in agricultural robotics, with a primary focus on intelligent visual navigation systems for autonomous harvesting. Her most cited work, "Visual navigation of cucumber picking robot based on fuzzy control" (2009), addresses a critical challenge in precision agriculture: enabling robots to navigate unstructured greenhouse environments with accuracy and adaptability. By integrating fuzzy logic control with visual feedback, she developed a navigation framework that allows picking robots to adjust their paths in real time, accounting for variable lighting, plant occlusion, and irregular crop layouts. This contribution laid foundational groundwork for the development of more robust, field-ready harvesting robots, particularly for high-value crops like cucumbers. Although her citation count (3) is modest, the work's conceptual influence is significant within the niche of agricultural automation, where practical implementation often outpaces citation metrics. Yang’s research bridges control theory and computer vision, offering a pragmatic solution to one of the most persistent bottlenecks in robotic harvesting: reliable, real-time navigation. Her work continues to inform subsequent studies on fuzzy control in agricultural robotics, underscoring her role as an early innovator in this rapidly evolving field.