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dc.contributor.authorNalwanga, Patricia
dc.contributor.authorAwath, Javar Abdat
dc.contributor.authorMwesigwa, Kirabira Mwesigwa
dc.contributor.authorNamuganga, Emmilly Immaculate
dc.date.accessioned2023-04-24T12:43:59Z
dc.date.available2023-04-24T12:43:59Z
dc.date.issued2022
dc.identifier.urihttp://hdl.handle.net/20.500.12281/15939
dc.description.abstractDiseases 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.isoenen_US
dc.publisherMakerere universityen_US
dc.subjectAnimal diseasesen_US
dc.subjectPoultry farmingen_US
dc.subjectMachine learningen_US
dc.subjectCoccidiosisen_US
dc.titleDisease detection in poultry using machine learningen_US
dc.typeThesisen_US


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