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Title: Analysis of individual classification of lameness using automatic measurement of back posture in dairy cattle
Authors: Viazzi, Stefano ×
Bahr, Claudia
Schlageter-Tello, A
Van Hertem, Tom
Bites Romanini, Carlos Eduardo
Pluk, Arno
Halachmi, I
Lokhorst, C
Berckmans, Daniel #
Issue Date: Jan-2013
Publisher: American Dairy Science Association
Series Title: Journal of Dairy Science vol:96 issue:1 pages:257-266
Article number: 10.3168/jds.2012-5806
Abstract: Currently, diagnosis of lameness at an early stage in dairy cows relies on visual observation by the farmer, which is time consuming and often omitted. Many studies have tried to develop automatic cow lameness detection systems. However, those studies apply thresholds to the whole population to detect whether or not an individual cow is lame. Therefore, the objective of this study was to develop and test an individualized version of the body movement pattern score, which uses back posture to classify lameness into 3 classes, and to compare both the population and the individual approach under farm conditions. In a data set of 223 videos from 90 cows, 76% of cows were correctly classified, with an 83% true positive rate and 22% false positive rate when using the population approach. A new data set, containing 105 videos of 8 cows that had moved through all 3 lameness classes, was used for an ANOVA on the 3 different classes, showing that body movement pattern scores differed significantly among cows. Moreover, the classification accuracy and the true positive rate increased by 10 percentage units up to 91%, and the false positive rate decreased by 4 percentage units down to 6% when based on an individual threshold compared with a population threshold.
URI: 
ISSN: 0022-0302
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Division M3-BIORES: Measure, Model & Manage Bioresponses (-)
× corresponding author
# (joint) last author

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