Papers
1
Total Citations
25
H-Index
1
About
Lei Shen is a leading researcher in agricultural robotics and computer vision, with a focus on intelligent harvesting systems for viticulture. His work addresses the critical challenge of enabling picking robots to accurately perceive and segment grape bunches in complex field environments. Shen’s most-cited paper, "Segmentation of field grape bunches via an improved pyramid scene parsing network" (2021, 25 citations), introduces a deep learning approach that significantly enhances the precision of grape detection under natural lighting and occluded conditions. This contribution is foundational for advancing mechanized and automated grape harvesting, a key step toward sustainable, large-scale viticulture. By refining pyramid scene parsing networks for agricultural applications, Shen has helped bridge the gap between computer vision algorithms and real-world farming needs. His research is highly relevant for students and engineers working at the intersection of AI, robotics, and precision agriculture, offering practical solutions to improve efficiency in fruit picking and reduce labor dependency.
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