Prediction of 24-h and 6-h periods before calving using a multimodal tail-attached device equipped with a thermistor and 3-axis accelerometer through supervised machine learning

HIGHLIGHTS

• who: Shogo Higaki and colleagues from the National Institute of Animal Health, National Agriculture and Food Research Organization, Tsukuba, Japan Department of Agriculture, School of Agriculture, Meiji University, Kawasaki, Japan have published the research: Prediction of 24-h and 6-h Periods before Calving Using a Multimodal Tail-Attached Device Equipped with a Thermistor and 3-Axis Accelerometer through Supervised Machine Learning, in the Journal: Animals 2022, 2095 of 20/07/2022
• what: The aim of this study was to determine the effectiveness of calving prediction models based on the tail sensor data with supervised . . .
  

   

  

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