Detection of Dairy Herd Management Issues Using Fatty Acid Profiles Predicted by Mid-Infrared Spectrometry

Detection of Dairy Herd Management Issues Using Fatty Acid Profiles Predicted by Mid-Infrared Spectrometry

This article focuses on the creation of a monitoring tool using routinely collected data from milk payment analyses. Milk samples were analyzed through Fourier Transform mid-infrared spectrometry every 1 to 3 days, and their compositions were predicted using machine learning models. Among the predic...

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Bibliographic Details
Main Authors: Sébastien Franceschini, Claire Fastré, Charles Nickmilder, Débora E. Santschi, Daniel Warner, Mazen Bahadi, Carlo Bertozzi, Didier Veselko, Frédéric Dehareng, Nicolas Gengler, Hélène Soyeurt
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Animals
Subjects:
fatty acids
FT-MIR spectrometry
unsupervised hierarchical clustering
dairy cows
herd management
Online Access:https://www.mdpi.com/2076-2615/15/11/1575
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