Article

Impact of cross-validation designs on cattle behavior prediction using machine learning and deep learning models with tri-axial accelerometer data

2025-01-23

Abstract excerpt

1 Assessing cattle behaviors provides insights into animal health, welfare, and productivity to support on-farm management decisions. Wearable accelerometers offer an alternative approach to traditional human evaluation, providing a more objective and efficient method for predicting cattle behavior. Random cross-validation (CV) is commonly used to evaluate behavior prediction by splitting data into training and te...

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Literature Corpus work: fa6ffcd1-3d10-540e-ba78-bd2616a548e5
DOI: 10.1101/2025.01.22.634181

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