| dc.contributor.author | Nalwanga, Patricia | |
| dc.contributor.author | Awath, Javar Abdat | |
| dc.contributor.author | Kirabira, Mwesigwa Marvin | |
| dc.contributor.author | Namuganga, Emmilly Immaculate | |
| dc.date.accessioned | 2023-01-23T11:25:13Z | |
| dc.date.available | 2023-01-23T11:25:13Z | |
| dc.date.issued | 2022-10-17 | |
| dc.identifier.citation | Nalwanga, P. et al (2022). Disease Detection in Poultry Using Machine Learning.(Unpublished dissertation). Kampala:Makerere University | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.12281/14667 | |
| dc.description | A project Report to be submitted to the school of Computing and Informatics Technology in partial fulfilment of the requirements for the award of the Degree of Bachelor of Science in Computer Science of Makerere University | en_US |
| dc.description.abstract | Diseases in poultry farming have severe and detrimental health effects to poultry hence leading to death of the birds and loses for the bird owners if no remedies are provided. The process of diagnosis which involves the use of a specialist can be quite
costly and may be dawdling since appointments have to be made with veterinary doctors to get treatment for ones poultry.
Poultry farmers are unable to keep track of the health status of their flock in order to prevent diseases through early diagnosis for diseases such as coccidiosis that can be detected and treated. This project aims to diagnose poultry diseases using Machine learning | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Makerere University | en_US |
| dc.subject | Poultry Disease Diagnosis System | en_US |
| dc.title | Disease Detection in Poultry Using Machine Learning | en_US |
| dc.type | Thesis | en_US |
