Marc Lefebvre
Papers
5
Total Citations
42
H-Index
4
About
Marc Lefebvre is a pioneering researcher in agricultural robotics and computer vision, best known for his foundational work on the "Potato Operation" project. His research focuses on integrating 3D image analysis and automated systems for disease detection in agriculture, specifically targeting viral infections in seed potatoes that can reduce field productivity tenfold. Lefebvre's major contributions include developing computer vision algorithms to automate pulp sampling, addressing the high variability of natural objects in shape, texture, and color. His most cited paper, "Computer vision and agricultural robotics for disease control: The Potato Operation" (1993), has garnered 22 citations, while related works from 1992 and 1995 have accumulated 7 and 6 citations, respectively. Supported by the Swiss National Research Program 23 on AI and Robotics, Lefebvre's multidisciplinary collaboration advanced agrotics—agricultural robotics—by tackling destructive testing challenges. His work remains a cornerstone for automating crop health monitoring, inspiring subsequent innovations in precision agriculture and demonstrating how computer vision can revolutionize food security through early disease detection.
Research Focus
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- 53D computer vision for agrotics: the potato operation, an overview3 citations · 2003