Appropriate Data Quality Checks Improve the Reliability of Values Predicted from Milk Mid-Infrared Spectra

The use of abnormal milk mid-infrared (MIR) spectrum strongly affects prediction quality, even if the prediction equations used are accurate. So, this record must be detected after or before the prediction process to avoid erroneous spectral extrapolation or the use of poor-quality spectral data by...

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Bibliografische gegevens

Hoofdauteurs:	Lei Zhang, Chunfang Li, Frédéric Dehareng, Clément Grelet, Frédéric Colinet, Nicolas Gengler, Yves Brostaux, Hélène Soyeurt
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2021-02-01
Reeks:	Animals
Onderwerpen:	milk-component prediction mid-infrared spectrum Mahalanobis distance quality-assurance system Holstein cow
Online toegang:	https://www.mdpi.com/2076-2615/11/2/533
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