Combination of activity and lying/standing data for detection of oestrus in cows

Ragnar Ingi Jónsson, Mogens Blanke, Niels Kjølstad Poulsen, Lene Munksgaard, Søren Højsgaard

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The objective of this study is to develop an algorithm for detecting oestrus in dairy cows from measurements of activity and duration of lying/standing periods. Each cows activity is measured by a sensor attached to the neck that returns an activity index for each hour. Duration of lying is measured by a sensor attached to the hind leg of the cow. Activity and lying/standing behaviour are modelled as a discrete event system, constructed using automata theory. In an attempt to estimate a biologically relevant lying balance, a lying balance indicator is constructed and is influencing transition probabilities in the stochastic automata. The cows lying-balance indicates how much the cow has been resting during the immediately past period, and the balance express to the automata, the tendency of the cow to continue resting or not. Automata for describing the two scenarios; normal and oestrus are designed and results of decision algorithms are presented for Oestrus detection. Detection based on the lying balance indicator and the two sets of measured information are demonstrated to increase the detection sensitivity to 100% for a set of 10 cows.
Original languageEnglish
Title of host publicationPrecision livestock farming '09
Publication date2009
Pages207-214
ISBN (Print)978-90-8686-112-5
Publication statusPublished - 2009
EventThe Joint International Agricultural Conference -
Duration: 1 Jan 2009 → …

Conference

ConferenceThe Joint International Agricultural Conference
Period01/01/2009 → …

Keywords

  • animal monitoring

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