Daily eating activity of dairy cows from 3D accelerometer data and RFID signals: prediction by random forests and detection of sick cows

Autor: Leslie Foldager, Lars Bilde Gildbjerg, Heidi Voss, Philipp Trénel, Lene Munksgaard, Peter T. Thomsen

Publikováno v: Aarhus University
Foldager, L, Gildbjerg, L B, Voss, H, Trénel, P, Munksgaard, L & Thomsen, P T 2017, Daily eating activity of dairy cows from 3D accelerometer data and RFID signals: prediction by random forests and detection of sick cows . in P Linde (ed.), Symposium i Anvendt Statistik . pp. 109-122, Symposium i Anvendt Statistik, Odense, Denmark, 23/01/2017 .

Feed intake is very important for dairy cows and deviation from normal eating behaviour may predict a cow that needs treatment. We used video recordings of dairy cows at the Danish Cattle Research Centre (DKC) combined with data from a neck-collar mo

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https://pure.au.dk/portal/en/publications/daily-eating-activity-of-dairy-cows-from-3d-accelerometer-data-and-rfid-signals-prediction-by-random-forests-and-detection-of-sick-cows(9f097cb8-3e19-4535-b97f-b4cc75948351).html