Virginie Barbosa

Laboratoire National de Métrologie et d'Essais

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About

Virginie Barbosa is a researcher at the forefront of agricultural robotics, specializing in the development and validation of intelligent systems for sustainable farming. Her primary research areas encompass weed identification, robotic perception, and the creation of robust testing methodologies for autonomous agricultural machines. Barbosa made a pivotal contribution to the field by co-designing and validating the testing facilities for the ROSE Challenge, a major initiative to benchmark weeding robots in realistic field conditions. This work, published in 2020 and garnering 10 citations, established critical protocols for evaluating robotic performance in complex outdoor environments. More recently, she has advanced the field by releasing new, comprehensive datasets for AI-driven weed identification. These datasets, featuring crop plants like maize and bean alongside diverse weed species, capture significant agropedoclimatic variability across multiple years. By providing this rich, real-world data to the research community, Barbosa is enabling the development of more resilient and accurate perception algorithms, directly addressing one of the key bottlenecks in precision agriculture.