Sergio Cubero
Papers
5
Total Citations
395
H-Index
5
About
Sergio Cubero is a leading figure in agricultural robotics and machine vision, whose work is transforming how we monitor crop health and ensure food quality. His research centers on developing automated, non-destructive inspection systems, primarily using proximal sensing—cameras and spectrometers mounted on mobile platforms—to detect pests, diseases, and ripeness in the field. Cubero’s major contributions include the creation of field robots like RobHortic and Xf-Rovim, which use multispectral and hyperspectral imaging to identify threats such as Xylella fastidiosa in olive trees. His highly cited review on machine vision for citrus inspection (132 citations) and his work on an automated pre-grading system for citrus fruit (73 citations) have set benchmarks for postharvest quality control. Notably, his integration of tactile sensing with visible and near-infrared spectroscopy in a robot gripper for mango assessment (36 citations) showcases a novel fusion of sensory modalities. With over 395 total citations across his top works, Cubero’s innovations are pivotal for precision agriculture, offering scalable, real-time solutions that reduce chemical use and labor while increasing yield and safety.
Research Focus
Key Achievements
Top Papers
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