Predictive models for the detection of diseases in crops through supervised learning

Conference Object

Abstract: This paper proposes a methodology for the application of prediction algorithms for the development o

Palabras claves:

Agriculture, Agroclimatic variables, cultivation, disease, Supervised learning

Autores:

Carlos A. Morales F, Daniel Sánchez-Guerrero, Francisco Torres-Oñate, Marco Pérez-Salinas, María Cristina Páez Quinde, Narváez Rios Magaly Margarita, Sánchez Guerrero Javier, Segundo Euclides Curay Quispe

Fuentes:

google

scopus