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.
Networks. In Proceedings of the International Conference on Intelligent Sustainable Systems (ICISS 2019). https://doi.org/10.1109/ISS1.2019.8908053
Alkan, I., & Akyuz, Y. (2024). ADVANTAGES OF USING EXPERT SYSTEMS TO PROJECT DAIRY CATTLE FARMS: CASE STUDY OF MENEMEN, TURKEY. JAPS: Journal of Animal & Plant Sciences, 34(230).
Anjara, F., & Jaharadak, A. A. (2019, February). Expert system for diseases diagnosis in living things: a narrative review. In Journal of Physics: Conference Series (Vol. 1167, No. 1, p. 012070). IOP Publishing.
Elsayed, A., & Hazman, M. (2021). Framework for Mobile based Expert System for Poultry Diseases. International Journal of Computer Applications, 183(4), 1-7.
Intong, R. L., Pepito, J. E., Callejo, J. M., & Cruz, E. M. (2018). Goat Farm Performance in Northern Mindanao, Philippines. Journal of Advanced Agricultural Technologies Vol, 5(2).
Lee, S. W., Reza, M. N., Chung, S. O., An, H. S., Lee, Y. R., Kim, S. S., ... & Cheon, C. U. (2023). Application of expert system for smart livestock production management: A review. Precision Agriculture, 5(1), 16.
Mohan, A., Raju, R. D., & Janarthanan, P. (2019, February). Animal disease diagnosis expert system using convolutional neural networks. In 2019 International Conference on Intelligent Sustainable Systems (ICISS) (pp. 441-446). IEEE.
Mustafidah, H., Amin, R., & Fatimah, V. A. N. (2018, November). Expert system for determining the type of cats and how to care them. In IOP Conference Series: Materials Science and Engineering (Vol. 434, No. 1, p. 012041). IOP Publishing.
Primova, H. A., Mukhamedieva, D. T., & Safarova, L. (2022, April). Application of Algorithm of Fuzzy Rule Conclusions in Determination of Animal’s Diseases. In Journal of Physics: Conference Series (Vol. 2224, No. 1, p. 012007). IOP Publishing.
Purnomo, M. R. A., & Hidayatuloh, S. (2020, September). Development of rule-based expert system for conceptualisation of poster design. In IOP conference series: materials science and engineering (Vol. 931, No. 1, p. 012019). IOP Publishing.
Saibene, A., Assale, M., & Giltri, M. (2021). Expert systems: Definitions, advantages and issues in medical field applications. Expert Systems with Applications, 177, 114900. https://doi.org/10.1016/j.eswa.2021.114900
Safarova, L. (2021, May). Formation of informative signs for predicting the disease of highly productive cows with non-communicable diseases. In Journal of Physics: Conference Series (Vol. 1901, No. 1, p. 012049). IOP Publishing.
Sultan, G. G. D., Talirongan, F. J. B., Orong, M. Y., & Talirongan, H. (2020). A Rule-based Diagnosis of Water-borne Diseases: A Benchmark for Future Intelligent System Development. Middle East Journal of Applied Science & Technology, 3(4), 48-58.
Tesfaye, Y. (2019). Developing an Expert System for Goat Disease Diagnosis and Treatment. Journal of Emerging Technologies and Innovative Research (JETIR), 6(4).
Tesfaye Burik, Y. (2019). Rule-Based Knowledge-Based System for Diagnosing and Treating Goat Diseases in Ethiopia. Ethiopian Journal of Agricultural Sciences, 29(1), 67-78. https://doi.org/10.4314/ejas.v29i1.5
Zhang, H., & Chen, C. (2020). Design of Sick Chicken Automatic Detection System Based on Improved Residual Network. 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). doi:10.1109/itnec48623.2020.9084666
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