Importance of Mid-Infrared Spectra Regions for the Prediction of Mastitis and Ketosis in Dairy Cows.

Gruber, Stefan; Rienesl, Lisa; Köck, Astrid; Egger-Danner, Christa; Sölkner, Johann

Gruber, Stefan; Rienesl, Lisa; Köck, Astrid; Egger-Danner, Christa; Sölkner, Johann.

Afiliación

Gruber S; Institute of Livestock Sciences, University of Natural Resources and Life Sciences, Vienna (BOKU), Gregor-Mendel-Straße 33, 1180 Vienna, Austria.
Rienesl L; Institute of Livestock Sciences, University of Natural Resources and Life Sciences, Vienna (BOKU), Gregor-Mendel-Straße 33, 1180 Vienna, Austria.
Köck A; ZuchtData EDV-Dienstleistungen GmbH, Dresdner Straße 89/19, 1200 Vienna, Austria.
Egger-Danner C; ZuchtData EDV-Dienstleistungen GmbH, Dresdner Straße 89/19, 1200 Vienna, Austria.
Sölkner J; Institute of Livestock Sciences, University of Natural Resources and Life Sciences, Vienna (BOKU), Gregor-Mendel-Straße 33, 1180 Vienna, Austria.

Animals (Basel) ; 13(7)2023 Mar 29.

Article en En | MEDLINE | ID: mdl-37048449

Palabras clave

dairy cow; ketosis; machine learning; mastitis; variable selection

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Animals (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Austria

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