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Web based expert system for diagnosis of cattle disease

Published: 25 September 2018 Publication History

Abstract

Ethiopia, having the majority of its population living in rural areas and agriculture being the backbone of its economy, is one of the African countries with bigger cattle population. Despite this fact, the economic contribution made by this enormous amount of cattle is not satisfactory. This is mainly due to loss of productivity from endemic and trans-boundary cattle diseases. Addressing cattle health related problems in remote rural areas with limited number of veterinarians, especially during outbreaks, is the other issue that seriously damages its potential economic contribution. To address this issue, an expert system (ES) with hybrid reasoning consisting of case based reasoning (CBR) and rule based reasoning (RBR) engine is proposed for the diagnosis of cattle diseases. Symptoms provided by a user are taken as query and solution is searched from a similar case in the case base. RBR gets involved when CBR fails to identify a single disease. In addition to that, problems solved by RBR engine are stored as experiences to be utilized as data source for the learning module of CBR. The prototype was evaluated through system performance testing and user acceptance testing with corresponding results of 91.67% and 82.34% respectively. Its learning module performance was found to be 100%. The evaluation reveals that the proposed approach has a promising result to be used for cattle diagnosis purpose.

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  • (2023)Using Level-Based Multiple Reasoning in a Web-Based Intelligent System for the Diagnosis of Farmed Fish DiseasesApplied Sciences10.3390/app13241305913:24(13059)Online publication date: 7-Dec-2023
  • (2021)Machine Learning Model Based Expert System for Pig Disease DiagnosisRecent Trends in Image Processing and Pattern Recognition10.1007/978-981-16-0493-5_27(302-312)Online publication date: 19-Feb-2021

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    cover image ACM Other conferences
    MEDES '18: Proceedings of the 10th International Conference on Management of Digital EcoSystems
    September 2018
    253 pages
    ISBN:9781450356220
    DOI:10.1145/3281375
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 25 September 2018

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    Author Tags

    1. case based reasoning
    2. disease diagnosis
    3. expert system
    4. hybrid-reasoning
    5. knowledge-based system
    6. rule-based reasoning

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    • Ministry of Communication and Information Technology of Ethiopia, MCIT, Ethiopia

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    MEDES '18

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    MEDES '18 Paper Acceptance Rate 29 of 77 submissions, 38%;
    Overall Acceptance Rate 267 of 682 submissions, 39%

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    View all
    • (2023)Using Level-Based Multiple Reasoning in a Web-Based Intelligent System for the Diagnosis of Farmed Fish DiseasesApplied Sciences10.3390/app13241305913:24(13059)Online publication date: 7-Dec-2023
    • (2021)Machine Learning Model Based Expert System for Pig Disease DiagnosisRecent Trends in Image Processing and Pattern Recognition10.1007/978-981-16-0493-5_27(302-312)Online publication date: 19-Feb-2021

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