אסיף מאגר המחקר החקלאי

Experimental setup for the study of a computer vision based automatic lameness detection system for dairy cows

Year:

2011

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Van Hertem, T., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, PO Box 6, Bet-Dagan, Israel, Division Measure, Model and Manage Bioresponses (M3-BIORES), Katholieke Universiteit Leuven, Kasteelpark Arenberg 30 - bus 2456, Heverlee, Belgium
Alchanatis, V., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, PO Box 6, Bet-Dagan, Israel
Antler, A., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, PO Box 6, Bet-Dagan, Israel
Maltz, E., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, PO Box 6, Bet-Dagan, Israel
Halachmi, I., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, PO Box 6, Bet-Dagan, Israel
Schlageter Tello, A., Wageningen UR Livestock Research, P.O. Box 65, Lelystad, Netherlands
Lokhorst, C., Wageningen UR Livestock Research, P.O. Box 65, Lelystad, Netherlands
Vörös, A., EU Biobusiness Project, Netherlands
Romanini Bites, E., Division Measure, Model and Manage Bioresponses (M3-BIORES), Katholieke Universiteit Leuven, Kasteelpark Arenberg 30 - bus 2456, Heverlee, Belgium
Bahr, C., Division Measure, Model and Manage Bioresponses (M3-BIORES), Katholieke Universiteit Leuven, Kasteelpark Arenberg 30 - bus 2456, Heverlee, Belgium
Berckmans, D., Division Measure, Model and Manage Bioresponses (M3-BIORES), Katholieke Universiteit Leuven, Kasteelpark Arenberg 30 - bus 2456, Heverlee, Belgium

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Abstract:

The objective of this study is to develop an automatic detection system to quantify the severity of lameness for dairy cows, based on both analysis of video recordings of the cow's gait and with her associated behaviour. This paper describes the need for this type of research, and will discuss the experimental setup. During three recording sessions, 92.5% of the animals in the herd were recorded while walking through the video-corridor with at least two full gait cycles. This result indicates that the chosen setup, consisting of a corridor from the milking area, which the cows enter one by one through a separation gate, and two video cameras in two different angles, can be a useful tool for gait analysis.

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