Esta investigación presenta un innovador sistema de detección temprana, identificación y análisis de plagas y enfermedades que afectan el cultivo de fresa en el valle de Huaura.
El proyecto ha desarrollado un robot semiautónomo capaz de recorrer los campos de cultivo e incorporar modelos de aprendizaje profundo entrenados con bases de datos e imágenes específicas. Gracias a ello, el sistema puede reconocer en tiempo real los síntomas provocados por la arañita roja (Tetranychus urticae) y el oídio, dos de las principales amenazas para este cultivo.
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