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

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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Bibliographic Details
Main Authors: Lei Zhang, Chunfang Li, Frédéric Dehareng, Clément Grelet, Frédéric Colinet, Nicolas Gengler, Yves Brostaux, Hélène Soyeurt
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Animals
Subjects:
milk-component prediction
mid-infrared spectrum
Mahalanobis distance
quality-assurance system
Holstein cow
Online Access:https://www.mdpi.com/2076-2615/11/2/533

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