In the field of Husbandry, its little difficult to detect the breed of animals in order to estimate the commercial value
production. Usually it can be classified with the help of DNA testing but its expensive and sometime not affordable. Lameness in
sheep is one of the concerns which is to be taken care. It usually happens due to inadequate of healthcare and welfare among
the country serving sheep industry. This paper aims to classify the sheep according to their respective breed. Basically 4 breeds
have been taken into consideration and by applying neural networks, the sheep breed has been classified. Throughout the task
the accuracy of 99.97% was achieved while training the CNN model & 87.1% was achieved while testing the model. With the
help of this classifier, sheep farmer can identify the breed more accurately and efficiently.
