dc.contributor.author | Nalwanga, Patricia | |
dc.contributor.author | Awath, Javar Abdat | |
dc.contributor.author | Mwesigwa, Kirabira Mwesigwa | |
dc.contributor.author | Namuganga, Emmilly Immaculate | |
dc.date.accessioned | 2023-04-24T12:43:59Z | |
dc.date.available | 2023-04-24T12:43:59Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12281/15939 | |
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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Makerere university | en_US |
dc.subject | Animal diseases | en_US |
dc.subject | Poultry farming | en_US |
dc.subject | Machine learning | en_US |
dc.subject | Coccidiosis | en_US |
dc.title | Disease detection in poultry using machine learning | en_US |
dc.type | Thesis | en_US |