Papers
1
Total Citations
22
H-Index
1
About
Weiyu Pan is a leading researcher in agricultural robotics, with a primary focus on perception technologies for fruit-harvesting automation. Their most-cited work, "A Review of Perception Technologies for Berry Fruit-Picking Robots" (2024, 22 citations), systematically addresses a critical bottleneck in soft-fruit harvesting: the challenge of detecting and handling delicate berries with thin skins and fragile flesh. Pan’s review comprehensively evaluates the advantages and disadvantages of various sensing and vision systems, from traditional cameras to advanced spectral imaging, while highlighting key obstacles such as occlusion, variable lighting, and fruit damage during picking. By synthesizing current methods and outlining future research directions, this work serves as an essential roadmap for engineers and agronomists aiming to replace costly manual labor and reduce mechanical damage in berry production. Pan’s contributions are particularly timely given rising labor costs and global demand for high-quality, sustainably harvested fruit. Their analysis not only advances the field of precision agriculture but also provides practical guidance for developing more robust, efficient berry-picking robots—a critical step toward fully automated horticulture.
Research Focus
Key Achievements
Top Papers
- 1