Disease detection in poultry using machine learning

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.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.identifier.uri http://hdl.handle.net/20.500.12281/15939
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
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