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Revista Cubana de Ciencias Informáticas
On-line version ISSN 2227-1899
Abstract
QUINTERO-DOMINGUEZ, Luis A.; RIOS RODRIGUEZ, Lydia Rosa; QUINTANA SANCHEZ, Danay and LEON AVILA, Bernardo Y.. Expert System for the presumptive diagnosis of fungal diseases in crops. Rev cuba cienc informat [online]. 2019, vol.13, n.1, pp. 61-75. ISSN 2227-1899.
Countries all over the world have experienced the negative impact that phytopathogenic fungi have on food security. A fast diagnose of the kind of fungus that affect to the crops is essential to stop the disease proliferation and so minimize the losses. This work presents an Expert System for the presumptive diagnosis of fungal diseases in the crops, call Fungi. To the development of this Expert System was used SWI-Prolog for the creation of the knowledge base and Java to the graphic user interface. This system allows a fast and reliable diagnosis of the kind of fungus that is affecting the crops, the specific crops that can be diagnosed with Fungi are: rice, bean, tobacco, banana, garlic, onion, corn, coffee and cocoa. Fungi is developed under free software license. Besides, the comparison of human experts diagnoses and Fungi diagnoses allowed to validate the knowledge base of the system. The application of the black box tests and specialist criterion allowed corroborating the correct operation of the proposed expert system.
Keywords : crops; diagnose; expert system; fungal diseases.