Machine learning assesses heat stress response in sheep, highlighting potential adaptations and tools for monitoring.
Supplementary information for the article “Machine learning-based assessment of sweat dynamics and thermoregulatory adaptation in sheep under heat stress”.Files with the suffix “final” refer to the data used in the final modeling, considering three breeds (Soinga, Morada Nova, and Santa Inês). Files with the suffix “SRD,” on the other hand, correspond to the modeling performed with four groups, including, in addition to these three breeds, animals without a defined breed standard (SRD).The file with the .py extension corresponds to the code developed in Python.
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Farias et al. (2026) studied this question.
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