8 citations as recorded by crossref.

1. Machine Learning Approach for Early Lactation Mastitis Diagnosis Using Total and Differential Somatic Cell Counts A. Zecconi et al. https://doi.org/10.3390/ani15081125
2. Short Communication: Early Detection of Mastitis Using Infrared Thermography in Dairy Cows A. Colak et al. https://doi.org/10.3168/jds.2008-1258
3. The Early Prediction of Common Disorders in Dairy Cows Monitored by Automatic Systems with Machine Learning Algorithms X. Zhou et al. https://doi.org/10.3390/ani12101251
4. Over 20 Years of Machine Learning Applications on Dairy Farms: A Comprehensive Mapping Study P. Shine & M. Murphy https://doi.org/10.3390/s22010052
5. Dairy farming sustainability: A systematic review to understand mastitis and lameness detection using machine learning (ML) P. Astuti et al. https://doi.org/10.1016/j.aoas.2026.100412
6. Machine learning-based clinical mastitis detection in dairy cows using milk electrical conductivity and somatic cell count L. Pan et al. https://doi.org/10.3389/fvets.2025.1671186
7. Exploring machine learning algorithms for early prediction of clinical mastitis L. Fadul-Pacheco et al. https://doi.org/10.1016/j.idairyj.2021.105051
8. Using machine learning procedures to ascertain the influence of beef carcass profiles on carcass conformation scores J. Díez et al. https://doi.org/10.1016/j.meatsci.2005.11.015