'The Taurus': Cattle Breeds & Diseases Identification Mobile Application using Machine Learning

TL;DR

This paper presents 'The Taurus', a cross-platform mobile app that uses machine learning and image processing to identify cattle breeds and diseases, aiming to reduce livestock mortality and assist farmers.

Contribution

It introduces a novel mobile application integrating breed identification, disease diagnosis, and treatment suggestions using machine learning models.

Findings

Accurately identifies cattle breeds from images.

Detects diseases from images and videos of affected areas.

Provides medicine dosage recommendations based on cattle weight and age.

Abstract

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.