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A Rule-Based Expert System for Cow Disease Diagnosis

  • Abel Alarcón-Salvatierra
  • William Bazán-Vera
  • Winston Espinoza-Moran
  • Diego Arcos-Jácome
  • Tany Burgos-Herreria
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 901)

Abstract

Cow husbandry is one of the main agricultural development sectors in many countries. However, cow diseases problem results in low productivity and restricts the development of this kind of agriculture. Raisers highly depends on a veterinarian to cope with cow disease issues. Unfortunately, there is a lack of veterinarians to serve this sector demands. Therefore, it is necessary to develop innovative solutions focused on solving problems such as the cow disease diagnosis. This work proposes an expert system for cow disease diagnosis. This system allows diagnosing a cow disease based on a set of symptoms provided by the user. For this purpose, the proposed system relies on a set of SWRL-based rules that represent expert knowledge on cow diseases. Our proposal was evaluated by real users from the cow husbandry domain. In this evaluation, the system had to diagnose a cow disease based on a set of symptoms provided by users. The system got promising evaluation results based on the accuracy metric.

Keywords

SWRL rules Expert system Cow disease diagnosis 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Universidad Agraria del EcuadorGuayaquilEcuador

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