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Classification of healthy and mastitis Murrah buffaloes by application of neural network models using yield and milk quality parameters

2016-09-01

Abstract excerpt

This paper describes a Neural Network (NN) model to classify healthy and mastitis Murrah buffaloes using pH, electrical conductivity, dielectric constant and yield of milk as input parameters and California Mastitis Test (CMT) score as the output parameter. The purpose of this study was to develop such a cost-effective and intelligent classification model, which would serve an alternative to the prevailing Somatic...

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Literature Corpus work
c2642319-515d-5af1-9a27-7d4fed50cda9
DOI
10.1016/j.compag.2016.06.015
Open publication

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Classification of healthy and mastitis Murrah buffaloes by application of neural network models using yield and milk quality parametersDOI 10.1016/j.compag.2016.06.015
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