August 14, 2025Journal of Dairy ScienceOpen Access

Evaluating the contribution of behavioral, milking system, and environmental data to short-term milk yield prediction in commercial dairy cows using machine learning.

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Machine learning improved milk yield prediction accuracy, raising the R2 score from 0.263 to 0.827 significantly.
Daily weather data and behavioral observations enhanced model performance, reducing prediction error from 5.886 to 2.69 kg.
Automated milking systems and environmental data demonstrated a clear relationship with milk yield and cow behavior.
Integrating sensor monitoring can strengthen precision dairy approaches and refine forecasting strategies.

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Analysis reveals improved predictive accuracy for milk yield in dairy cows using machine learning methods and environmental data.

Hooker et al. (2025) studied this question.

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