Automated behaviour monitoring in dairy cows

R.M. de Mol, P.H.F.M. Verhoeven, P.H. Hogewerf, A.H. Ipema

Research output: Chapter in Book/Report/Conference proceedingConference paper

2 Citations (Scopus)

Abstract

Acceleration sensors in a Wireless Sensor Network (WSN) were used to monitor the behaviour of dairy cows. The data processing from 3D acceleration into behaviour classification (lying, standing or walking) was based on a two-steps method: first the distinction between lying and standing/walking was based on the computed average values during standing and the calculated distance from the actual values and the standing average. Secondly the distinction between standing and walking was based on the variance in 10 successive measurements. With this method both on-node data processing and state-based triggering are possible. This classification was tested during one day with three cows were video recordings were available as reference data. The calculated behaviour corresponds highly with the observed behaviour, the distinction between lying and standing/walking is the same during 99.15% of the time. 99.5% Of the observed walking periods have a matching calculated walking period (if measurements are available).
Original languageEnglish
Title of host publication5th European Conference on Precision Livestock Farming, Prague, Czech Republic, 11 - 14 July, 2011
EditorsC. Lokhorst, D. Berckmans
Place of PublicationPrague Czech Republic
PublisherCzech Centre for Science and Society
Pages70-80
ISBN (Print)9788090483019
Publication statusPublished - 2011
Event5th European Conference on Precision Livestock Farming, Prague, Czech Republic -
Duration: 11 Jul 201114 Jul 2011

Conference

Conference5th European Conference on Precision Livestock Farming, Prague, Czech Republic
Period11/07/1114/07/11

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