Machine learning-based prediction of cattle activity using sensor-based data

HIGHLIGHTS

• What: The authors propose develop and evaluate the accuracy of intelligent algorithms that operate on obtained by low-cost to determine the state of the animal in the terms used by the caregivers (grazing ruminating walking etc.).
• Who: Guillermo Hernández et al. from the (Instituto de las Tecnologías Avanzadas de la Producción), Universidad de Valladolid have published the Article: Machine Learning-Based Prediction of Cattle Activity Using Sensor-Based Data, in the Journal: Sensors 2024, 24, 3157. of /2024/
• How: The distribution of the annotations in each group present in . . .
  

   

  

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