Weichang Wen
Papers
1
Total Citations
45
H-Index
1
About
Weichang Wen is a leading researcher in agricultural robotics and precision viticulture, with a primary focus on computer vision and image processing for fruit detection and yield estimation. His most-cited work, “Grape Berry Detection and Size Measurement Based on Edge Image Processing and Geometric Morphology” (2021, 45 citations), addresses a critical challenge in automated grape harvesting: accurately counting berries and measuring their size despite unpredictable outdoor conditions and irregular fruit shapes. Wen’s innovative use of edge detection and geometric morphology enables robots to make reliable, real-time decisions for picking, yield forecasting, and quality assessment. This contribution directly supports the development of intelligent harvesting systems, reducing labor dependency and improving efficiency in vineyards. By tackling the strong environmental uncertainty inherent in field operations, Wen’s research bridges the gap between computer vision and practical agricultural robotics. His work is highly cited among engineers and agronomists developing autonomous fruit-picking technologies, and it stands as a foundational reference for studies on non-destructive fruit measurement and robotic perception in complex natural settings.
Research Focus
Key Achievements
Top Papers
- 1