Developing a Simulated Online Model That Integrates GNSS, Accelerometer and Weather Data to Detect Parturition Events in Grazing Sheep: A Machine Learning Approach

Developing a Simulated Online Model That Integrates GNSS, Accelerometer and Weather Data to Detect Parturition Events in Grazing Sheep: A Machine Learning Approach

In the current study, a simulated online parturition detection model is developed and reported. Using a machine learning (ML)-based approach, the model incorporates data from Global Navigation Satellite System (GNSS) tracking collars, accelerometer ear tags and local weather data, with the aim of de...

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Bibliographic Details
Main Authors: Eloise S. Fogarty, David L. Swain, Greg M. Cronin, Luis E. Moraes, Derek W. Bailey, Mark Trotter
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Animals
Subjects:
machine learning
parturition
on-animal sensors
sheep
Online Access:https://www.mdpi.com/2076-2615/11/2/303

Internet

https://www.mdpi.com/2076-2615/11/2/303

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