Yan De
Papers
1
Total Citations
45
H-Index
1
About
Yan De is a leading researcher in agricultural robotics and computer vision, with a focus on precision viticulture. His work centers on developing intelligent systems for automated grape harvesting and yield estimation, addressing the challenges of unstructured agricultural environments. De’s most cited paper, "Grape Berry Detection and Size Measurement Based on Edge Image Processing and Geometric Morphology" (2021, 45 citations), introduces a novel method that combines edge detection with geometric morphology to accurately count grape berries and measure their size. This contribution is critical for enabling robots to make informed picking decisions, as well as for improving yield prediction and quality assessment in vineyards. By tackling the uncertainty of grape shape and external conditions during harvest, De’s research bridges the gap between computer vision algorithms and practical agricultural robotics. His work has significant implications for reducing labor costs and increasing efficiency in grape production, making him a notable figure in the field of precision agriculture.
Research Focus
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Top Papers
- 1