E-Goat Doctor: An Expert System for the Diagnosis of Common Goat Diseases

The E-Goat Doctor is an expert system designed to diagnose common goat diseases, particularly in rural areas where access to veterinary services is limited. Utilizing a rule-based algorithm, the system analyzes symptoms provided by users and matches them with known diseases, offering accurate and timely diagnoses. The development of the E-Goat Doctor involved series of consultations with domain experts, ensuring a comprehensive knowledge base that addresses prevalent goat health issues in Northern Mindanao, Philippines, such as mastitis, foot rot, pneumonia, worm infestations, Enterotoxemia, and Calcium Deficiency. During testing, the system demonstrated high accuracy in diagnosing diseases, making it a valuable tool for goat farmers. The E-Goat Doctor not only improves the efficiency of disease management but also contributes to the overall health and productivity of goat herds. This expert system is positioned to be a significant asset in supporting sustainable goat farming practices, especially in regions with limited veterinary support.

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Publication Details

Journal
International Journal Of Engineering And Computer Science
Published
2024-09-09
DOI
https://doi.org/10.18535/ijecs/v13i09.4888
Citations
1
Primary Topic
Data Mining Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.78
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article

E-Goat Doctor: An Expert System for the Diagnosis of Common Goat Diseases

Melanie Arpay, Florence Jean Talirongan
1 citations
International Journal Of Engineering And Computer Science
Data Mining Algorithms and Applications
0.78
article

E-Goat Doctor: An Expert System for the Diagnosis of Common Goat Diseases

Melanie Arpay, Florence Jean Talirongan
article en
1 citations

Abstract

The E-Goat Doctor is an expert system designed to diagnose common goat diseases, particularly in rural areas where access to veterinary services is limited. Utilizing a rule-based algorithm, the system analyzes symptoms provided by users and matches them with known diseases, offering accurate and timely diagnoses. The development of the E-Goat Doctor involved series of consultations with domain experts, ensuring a comprehensive knowledge base that addresses prevalent goat health issues in Northern Mindanao, Philippines, such as mastitis, foot rot, pneumonia, worm infestations, Enterotoxemia, and Calcium Deficiency. During testing, the system demonstrated high accuracy in diagnosing diseases, making it a valuable tool for goat farmers. The E-Goat Doctor not only improves the efficiency of disease management but also contributes to the overall health and productivity of goat herds. This expert system is positioned to be a significant asset in supporting sustainable goat farming practices, especially in regions with limited veterinary support.

International Journal Of Engineering And Computer ScienceVol. 13(09)
Misamis University (PH), Mindanao State University (PH)
Openalex Percentile: Top 21%
Data Mining Algorithms and Applications
0.78
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