  Dairy farming plays an important role in agriculture for thousands of years
not only in Sri Lanka but also in so many other countries. When it comes to
dairy farming cattle is an indispensable animal. According to the literature
surveys almost 3.9 million cattle and calves die in a year due to different
types of diseases. The causes of diseases are mainly bacteria, parasites,
fungi, chemical poisons and etc. Infectious diseases can be a greatest threat
to livestock health. The mortality rate of cattle causes a huge impact on
social, economic and environmental damage. In order to decrease this negative
impact, the proposal implements a cross-platform mobile application to easily
analyze and identify the diseases which cattle suffer from and give them a
solution and also to identify the cattle breeds. The mobile application is
designed to identify the breeds by analyzing the images of the cattle and
identify diseases after analyzing the videos and the images of affected areas.
Then make a model to identify the weight and the age of a particular cow and
suggest the best dose of the medicine to the identified disease. This will be a
huge advantage to farmers as well as to dairy industry. The name of the
proposed mobile application is 'The Taurus' and this paper address the selected
machine learning and image processing models and the approaches taken to
identify the diseases, breeds and suggest the prevention methods and medicine
to the identified disease.
