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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. 2019. Rule-based expert system for detection of coffee rust warnings in Colombian crops. Journal of Intelligent and Fuzzy Systems, 36 (5) : pp. 4765-1475.

Journal article ; Article de recherche ; Article de revue à facteur d'impact
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Type d'url non précisé : https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs179025

Quartile : Q3, Sujet : COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Abstract : 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 from Expert systems based on machine learning techniques. However, because samples about coffee rust incidence are few, the rules created from machine learning techniques do not contain enough information to consider the diversity of scenarios for detecting coffee rust. This paper proposes an expert system based on rules, where the rules are created considering the expert knowledge of specialists and technical reports about the behavior of the disease during a crop year. As far as we know, this is the first expert system proposed using not only expert knowledge but also technical reports in the coffee rust 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.

Mots-clés Agrovoc : Theobroma cacao, Basidiomycota

Mots-clés géographiques Agrovoc : Colombie, Amérique latine

Classification Agris : H20 - Plant diseases
U30 - Research methods

Champ stratégique Cirad : CTS 4 (2019-) - Santé des plantes, des animaux et des écosystèmes

Auteurs et affiliations

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

Source : Cirad-Agritrop (https://agritrop.cirad.fr/592507/)

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