Machine learning prediction of sleep stages in dairy cows from heart rate and muscle activity measures
Abstract Sleep is important for cow health and shows promise as a tool for assessing welfare, but methods to accurately distinguish between important sleep stages are difficult and impractical to use with cattle in typical farm environments. The objective of this study was to determine if data from...
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| Auteurs principaux: | , , , , , , |
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| Format: | article |
| Langue: | EN |
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Nature Portfolio
2021
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| Accès en ligne: | https://doaj.org/article/5eae7fc7b5dc4617a3bbad15e0984628 |
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