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10Classification of Livestock Diseases Using Machine Learning Algorithms

G. Hannah Grace¹, Nivetha Martin^2*, I. Pradeepa² and N. Angel²

¹Division of Mathematics, School of Advanced Sciences, VIT University, Chennai, India

²Department of Mathematics, Arul Anandar College (Autonomous), Karumathur, India

Abstract

Machine learning has become an important necessity in the field of medicine in humans as well as in animals. The professionals in healthcare diagnose medical illnesses using machine learning algorithms (MLAs). Classifiers have now become a very useful tool for the healthcare industry to diagnose and classify diseases based on the intensity of the disease. This chapter proposes a solution to the problem of mastitis disease diagnosis in cattle based on MLAs. The mastitis livestock disease, which is an infection in the mammary gland mostly prevailing in the rural regions of the Madurai district of Tamil Nadu state, is intensively studied in this chapter. The supervised classification algorithms such as support vector machine, logistic regression, decision tree, and naïve Bayes are used in the Python environment to categorize the mastitis disease into three classes, namely, clinical, subclinical, and chronic, based on the symptoms. The efficiency of the algorithms is analyzed based on the results, and the most promising algorithm is identified to be a decision classifier based on the accuracy of the classification.

Keywords: Support vector machine, logistic regression, decision ...