'The Taurus': Cattle Breeds & Diseases Identification Mobile Application using Machine Learning
R. M. D. S. M. Chandrarathna (1), T. W. M. S. A. Weerasinghe (1), N., S. Madhuranga (1), T. M. L. S. Thennakoon (1), Anjalie Gamage (1), Erandika, Lakmali (2) ((1) Faculty of Computing, Sri Lanka Institute of Information, Technology, Malabe, Sri Lanka, (2) University of Kelaniya

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…
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