Disease detection in poultry using machine learning

Date
2022
Authors
Nalwanga, Patricia
Awath, Javar Abdat
Mwesigwa, Kirabira Mwesigwa
Namuganga, Emmilly Immaculate
Journal Title
Journal ISSN
Volume Title
Publisher
Makerere university
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.
Description
Keywords
Animal diseases, Poultry farming, Machine learning, Coccidiosis
Citation