Non-Invasive Sheep Biometrics Obtained by Computer Vision Algorithms and Machine Learning Modeling Using Integrated Visible/Infrared Thermal Cameras

Non-Invasive Sheep Biometrics Obtained by Computer Vision Algorithms and Machine Learning Modeling Using Integrated Visible/Infrared Thermal Cameras

Live sheep export has become a public concern. This study aimed to test a non-contact biometric system based on artificial intelligence to assess heat stress of sheep to be potentially used as automated animal welfare assessment in farms and while in transport. Skin temperature (°C) from head featur...

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Bibliographic Details
Main Authors: Sigfredo Fuentes, Claudia Gonzalez Viejo, Surinder S. Chauhan, Aleena Joy, Eden Tongson, Frank R. Dunshea
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sensors
Subjects:
animal welfare
skin temperature
artificial intelligence
heart rate
respiration rate
Online Access:https://www.mdpi.com/1424-8220/20/21/6334

Internet

https://www.mdpi.com/1424-8220/20/21/6334

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