International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 183 - Number 4 |
Year of Publication: 2021 |
Authors: Abdelrahman Elsayed, Maryam Hazman |
10.5120/ijca2021921319 |
Abdelrahman Elsayed, Maryam Hazman . Framework for Mobile based Expert System for Poultry Diseases. International Journal of Computer Applications. 183, 4 ( May 2021), 1-5. DOI=10.5120/ijca2021921319
This work presents a framework for the diagnosis and treatment of poultry diseases which is based on the expert system methodology. It aims to increase the availability of expert systems to run on mobile devices in offline mode to reach the area that has no internet connection. It will enable poultry breeders to diagnose and take proactive procedures to mitigate poultry diseases. According to the input symptoms, the app will diagnose poultry based on the suspect and confirm problem solver. A knowledge management module has been built to facilitate the knowledge acquisition process. So, we trained the domain expert to use it for entering their knowledge. The legacy inference engine was adapted to run on a mobile application. The presented framework was experiment in developing the chicken diagnosis and treatment disorders mobile application.