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.

Model-based calving monitor using real time image analysis / O. Cangar, T. Leroy, M. Guarino, E. Vranken, R. Fallon, J. Lenehan, J. Mee, D. Berckmans - In: Precision livestock farming '07 / [a cura di] S. Cox. - Wageningen : Wageningen Academic Publishers, 2007. - ISBN 978-90-8686-023-4. - pp. 291-298 (( Intervento presentato al 3. convegno European Conference on Precision Livestock Farming tenutosi a Skiathos, Greece nel 2007.

Model-based calving monitor using real time image analysis

M. Guarino;
2007

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.
Settore AGR/10 - Costruzioni Rurali e Territorio Agroforestale
2007
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/42245
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