Article

Predicting mastitis in dairy cows using neural networks and generalized additive models: A comparison

2013-11-01

Abstract excerpt

The aim of this paper is to develop and compare methods for early detection of oncoming mastitis with automated recorded data. The data were collected at the Danish Cattle Research Center (Tjele, Denmark). As indicators of mastitis, electrical conductivity (EC), somatic cell scores (SCS), lactate dehydrogenase (LDH), and milk yield are considered. Each indicator is decomposed into a long-term, smoothed component,...

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Literature Corpus work: 8f9300f4-1912-5ade-94cd-c19253989c1c
DOI: 10.1016/j.compag.2013.08.024

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