APA (7th ed.) Citation

Birkinshaw, A., Sutter, M., Nussbaum, M., Kreuzer, M., & Reidy, B. (2024). Suitability of different machine learning algorithms for the classification of the proportion of grassland-based forages at the herd level using mid-infrared spectral information from routine milk control. Journal of dairy science, 107(12), 10724-10737. https://doi.org/10.3168/jds.2024-25090

Chicago Style (17th ed.) Citation

Birkinshaw, A., M. Sutter, M. Nussbaum, M. Kreuzer, and B. Reidy. "Suitability of Different Machine Learning Algorithms for the Classification of the Proportion of Grassland-based Forages at the Herd Level Using Mid-infrared Spectral Information from Routine Milk Control." Journal of Dairy Science 107, no. 12 (2024): 10724-10737. https://doi.org/10.3168/jds.2024-25090.

MLA (9th ed.) Citation

Birkinshaw, A., et al. "Suitability of Different Machine Learning Algorithms for the Classification of the Proportion of Grassland-based Forages at the Herd Level Using Mid-infrared Spectral Information from Routine Milk Control." Journal of Dairy Science, vol. 107, no. 12, 2024, pp. 10724-10737, https://doi.org/10.3168/jds.2024-25090.