Disease Detection in Poultry Using Machine Learning

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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.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.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 Disease Detection in Poultry Using Machine Learning.(Unpublished dissertation).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.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
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