Disease Detection in Poultry Using Machine Learning

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