Model-based calving monitor using real time image analysis

  • Ö Cangar
  • , T. Leroy
  • , M. Guarino
  • , E. Vranken
  • , R. Fallon
  • , J. Lenehan
  • , J. Mee
  • , D. Berckmans

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

In this study a model-based calving monitoring was developed to identify the standing and lying behaviour of cows during their pre-calving period. For this purpose video surveillance of 8 cows for 6 discrete hours during the 24 hours prior to their calving were analyzed. Using the model-based calving monitor, 7 different shape variables through time were obtained for each cow. These were: x and y coordinate of the centre point of the cow; walking trajectory; distance walked; orientation of the main axis; body width/length ratio; hip length and back area. These variables were then used to classify standing and lying behaviour. On average 85% of the standing and lying behaviour of the 8 cows during the last 6 discrete hours before calving could be correctly classified.

Original languageEnglish
Title of host publicationPrecision Livestock Farming 2007 - Papers Presented at the 3rd European Conference on Precision Livestock Farming
Pages291-298
Number of pages8
Publication statusPublished - 2007
Externally publishedYes
Event3rd European Conference on Precision Livestock Farming, ECPLF 2007 - Skiathos, Greece
Duration: 3 Jun 20076 Jun 2007

Publication series

NamePrecision Livestock Farming 2007 - Papers Presented at the 3rd European Conference on Precision Livestock Farming

Conference

Conference3rd European Conference on Precision Livestock Farming, ECPLF 2007
Country/TerritoryGreece
CitySkiathos
Period3/06/076/06/07

Keywords

  • Calving
  • Image analysis
  • Standing and lying behaviour classification

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