Analysis of sequential ruminal temperature sensor data from dairy cows to identify cow subgroups by clustering and predict calving through supervised machine learning

• Main Authors: Eri FURUKAWA (Author), Yojiro YANAGAWA (Author), Akira MATSUZAKI (Author), Heejin KIM (Author), Hanako BAI (Author), Masashi TAKAHASHI (Author), Seiji KATAGIRI (Author), Shogo HIGAKI (Author)
• Format: Book
• Published: The Society for Reproduction and Development, 2023-02-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

The present study investigated the applicability of a calving prediction model based on supervised machine learning of ruminal temperature (RT) data in dairy cows. The existence of cow subgroups for prepartum RT changes was also examined, and the predictive performance of the model was compared amon...