Rule-based expert system for detection of coffee rust warnings in Colombian crops

Girón Buitrón Edwar Javier, Corrales David Camilo, Avelino Jacques, Iglesias Jose Antonio, Corrales Juan Carlos. 2018. Rule-based expert system for detection of coffee rust warnings in Colombian crops. . BUAP. Puebla : BUAP, Résumé, 1 p. International Symposium on Language and Knowledge Engineering (LKE 2018), Puebla, Mexique, 29 Octobre 2018/31 Octobre 2018.

Résumé : The coffee rust is a devastating disease that causes large economic losses across the world. The severity of this disease changes over time so the farmers are not fully aware of the economic importance of the rust disease in the coffee crops. From a computational science perspective, several investigations have been proposed to decrease the effects caused by the coffee rust appearance. One of the most important proposals is the use of expert systems. This paper proposes a novel rule-based expert system in which the knowledge base contains the variables and the set of rules that define the problem. The Buchanan methodology is used to design the proposed system. Experiment results present an average accuracy of 66,67% to detect a correct warning of coffee rust levels.

Auteurs et affiliations

• Girón Buitrón Edwar Javier, Universidad del Cauca (COL)
• Corrales David Camilo, Universidad del Cauca (COL)
• Avelino Jacques, CIRAD-BIOS-UPR Bioagresseurs (CRI) ORCID: 0000-0003-1983-9431
• Iglesias Jose Antonio, Madrid University (ESP)
• Corrales Juan Carlos, Universidad del Cauca (COL)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/591769/)

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