Individual cow identification in a commercial herd using 3D camera technology

Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningpeer review

  • Jørn Rind Thomasen
  • Jan Lassen
  • Glenn Gunner Brink Nielsen, Danish Meat Research Institute, Danmark
  • Claus Borggard, Danish Meat Research Institute
  • ,
  • Peter René Bolvig Stentebjerg, Danish Meat Research Institute
  • ,
  • Rikke Hjort Hansen, Danish Meat Research Institute
  • ,
  • Niels Worsøe Hansen, Danish Meat Research Institute
  • ,
  • Søren Borchersen, Viking Genetics, Danmark
Automatic cow identification becomes increasingly important for individual real time monitoring of production, health, behaviour etc., in modern dairy cattle production systems with large herd sizes. Examples of camera based classification of lameness (Viazzi et al., 2013) and conformation traits (Salau et al., 2017) have already been presented.
The aim of this study was to identify cows individually at the feeding table using a 3D camera system (Patent no: WO 2017/001538). The purpose of this identification was, with use of the same 3D camera system, to measure the feed intake for the identified cow (Lassen et al., 2017). However, the cow-id identification can also be used in combination with other features. A 3D geometric cow model with corresponding cow-id was used as reference. All cows in this study were labelled with unique cow-id, making it possible to calculate the success rate for 3D cow-id identification system
OriginalsprogEngelsk
Udgivelsesår2018
StatusUdgivet - 2018
BegivenhedICAR Conference and World Congress on Genetics Applied to Livestock Production 2018 - Auckland, New Zealand
Varighed: 11 feb. 201816 feb. 2018
Konferencens nummer: 11

Konference

KonferenceICAR Conference and World Congress on Genetics Applied to Livestock Production 2018
Nummer11
LandNew Zealand
ByAuckland
Periode11/02/201816/02/2018

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