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Leveraging Accelerometer Data for Lameness Detection in Dairy Cows: A Longitudinal Study of Six Farms in Germany
- Source :
- Animals, Vol 13, Iss 23, p 3681 (2023)
- Publication Year :
- 2023
- Publisher :
- MDPI AG, 2023.
-
Abstract
- Lameness in dairy cows poses a significant challenge to improving animal well-being and optimizing economic efficiency in the dairy industry. To address this, employing automated animal surveillance for early lameness detection and prevention through activity sensors proves to be a promising strategy. In this study, we analyzed activity (accelerometer) data and additional cow-individual and farm-related data from a longitudinal study involving 4860 Holstein dairy cows on six farms in Germany during 2015–2016. We designed and investigated various statistical models and chose a logistic regression model with mixed effects capable of detecting lameness with a sensitivity of 77%. Our results demonstrate the potential of automated animal surveillance and hold the promise of significantly improving lameness detection approaches in dairy livestock.
Details
- Language :
- English
- ISSN :
- 20762615
- Volume :
- 13
- Issue :
- 23
- Database :
- Directory of Open Access Journals
- Journal :
- Animals
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.4772a5e43ef4ab6af51622e0a2dfda1
- Document Type :
- article
- Full Text :
- https://doi.org/10.3390/ani13233681