Livestock Disease Prediction System


EOI: 10.11242/viva-tech.01.04.097

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Citation

Mr. Daksh Ashar, Mr. Amit Kanojia, Mr. Rahul Parihar, Prof. Saniket Kudoo, "Livestock Disease Prediction System", VIVA-IJRI Volume 1, Issue 4, Article 97, pp. 1-3, 2021. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

Livestock are farm animals who are raised to generate profit. They are used for the commodities such as meat, eggs, milk, fur, leather and wool. Livestock animals usually distribute in remote areas, with relatively poor condition of disease diagnosis. Generally, it is difficult to carry out disease diagnosis rapidly and accurately.Livestock diseases often pose a risk to public health and even affects the economy at large extent as we are quite dependent on the essential commodities we procure from the livestock. It is necessary to detect the disease outcome in the livestock to take the precautionary measures in order to avoid spread amongst them. So, there is a need for a system which can help in predicting the diseases among livestock on the basis of symptoms and suggest the precautionary measures to be taken with respect to the disease predicted. Our proposed system will predict the livestock (Cow, Sheep and Goat) disease using SVC (Support Vector Classifier) multi-class classification algorithm based on the symptoms and also provide the precautionary measures on the basis of disease predicted. There are some diseases which can prove to be fatal. So, our system will also alert the livestock owner if the predicted disease may cause a sudden death.

Keywords

Cow, Disease Prediction, Goat, Livestock, Machine Learning, Precautionary Measures, Sheep, SVC.

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