Yerania Campos

Universidad Complutense de Madrid, Software (Spain)

Papers

Total Citations

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About

Yerania Campos is a leading researcher in agricultural robotics and computer vision, specializing in machine vision systems for autonomous and non-autonomous agricultural vehicles. Her work focuses on overcoming the unique challenges of outdoor environments—such as variable lighting, dust, and complex terrain—to enable robust perception and navigation. Campos’s most cited paper, “Machine-Vision Systems Selection for Agricultural Vehicles: A Guide” (2016, 49 citations), provides essential guidelines for choosing optimal vision hardware and software, directly supporting the development of smarter, more reliable farming equipment. She further advanced obstacle detection through spatio-temporal analysis in agricultural videos (2016, 35 citations), a key contribution to vehicle safety and autonomy. Her comparative analysis of texture descriptors for discriminating plants, soil, and objects in maize fields (2016, 12 citations) demonstrates her deep engagement with real-world agricultural challenges. Through these works, Campos has helped bridge the gap between computer vision theory and practical, field-ready applications, making her a pivotal figure in precision agriculture and autonomous farming systems.