Poultry Diseases Expert System using Dempster-Shafer Theory
Andino Maseleno, Md. Mahmud Hasan

TL;DR
This paper presents a Poultry Diseases Expert System that utilizes Dempster-Shafer Theory to accurately identify poultry diseases based on specific symptoms, aiding in early detection and management.
Contribution
It introduces a novel expert system applying Dempster-Shafer Theory for poultry disease diagnosis, incorporating five key symptoms for improved accuracy.
Findings
Successfully identified poultry diseases using the system
Demonstrated effectiveness of Dempster-Shafer Theory in disease diagnosis
System can assist poultry health management
Abstract
Based on World Health Organization (WHO) fact sheet in the 2011, outbreaks of poultry diseases especially Avian Influenza in poultry may raise global public health concerns due to their effect on poultry populations, their potential to cause serious disease in people, and their pandemic potential. In this research, we built a Poultry Diseases Expert System using Dempster-Shafer Theory. In this Poultry Diseases Expert System We describe five symptoms which include depression, combs, wattle, bluish face region, swollen face region, narrowness of eyes, and balance disorders. The result of the research is that Poultry Diseases Expert System has been successfully identifying poultry diseases.
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Taxonomy
TopicsEdcuational Technology Systems · Decision Support System Applications · Information Retrieval and Data Mining
