אסיף מאגר המחקר החקלאי

Automatic lameness detection based on 3D-video recordings

Year:

2013

Source of publication :

Authors :

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Co-Authors:

Van Hertem, T., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, PO Box 6, Bet-Dagan IL-50250, Israel, Division M3-BIORES: Measure, Model and Manage Bioresponses, KU Leuven, Kasteelpark Arenberg 30, BE-3001 Leuven, Belgium
Maltz, E., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, PO Box 6, Bet-Dagan IL-50250, Israel
Antler, A., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, PO Box 6, Bet-Dagan IL-50250, Israel
Alchanatis, V., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, PO Box 6, Bet-Dagan IL-50250, Israel
Schlageter-Tello, A.A., WageningenUR Livestock Research, P.O. Box 65, NL-8200AB Lelystad, Netherlands
Lokhorst, C., WageningenUR Livestock Research, P.O. Box 65, NL-8200AB Lelystad, Netherlands
Romanini, C.E.B., Division M3-BIORES: Measure, Model and Manage Bioresponses, KU Leuven, Kasteelpark Arenberg 30, BE-3001 Leuven, Belgium
Viazzi, S., Division M3-BIORES: Measure, Model and Manage Bioresponses, KU Leuven, Kasteelpark Arenberg 30, BE-3001 Leuven, Belgium
Bahr, C., Division M3-BIORES: Measure, Model and Manage Bioresponses, KU Leuven, Kasteelpark Arenberg 30, BE-3001 Leuven, Belgium
Berckmans, D., Division M3-BIORES: Measure, Model and Manage Bioresponses, KU Leuven, Kasteelpark Arenberg 30, BE-3001 Leuven, Belgium
Halachmi, I., Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, PO Box 6, Bet-Dagan IL-50250, Israel

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Abstract:

Manual locomotion scoring for lameness detection is a time-consuming and subjective procedure. Therefore, the objective of this study is to quantify the classification performance of a computer vision based algorithm for automated lameness scoring. Cow gait recordings were made during four consecutive night-time milking sessions in an Israeli dairy farm with a 3D-camera. A live on-the-spot assessed 5-point locomotion score was the reference for the automatic lameness score evaluation. A dataset of 1436 cows with automatic lameness scores and live locomotion scores was used for calculating classification performance. The analysis of the automatic scores as independent observations led to a correct classification rate of 50.4% on a 5-point level scale. When allowing a 1 unit error on the 5-point level scale, a correct classification rate of 87.6% was obtained. The obtained tolerant binary correct classification rate was 88.6%. The automated lameness detection system obtained a tolerant correct classification rate of 88.6%.

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