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

Fuentes, S, Gonzalez Viejo, C, Chauhan, SS et al. (3 more authors) (2020) Non-Invasive Sheep Biometrics Obtained by Computer Vision Algorithms and Machine Learning Modeling Using Integrated Visible/Infrared Thermal Cameras. Sensors, 20 (21). 6334. ISSN 1424-8220

Abstract

Metadata

Authors/Creators:
  • Fuentes, S
  • Gonzalez Viejo, C
  • Chauhan, SS
  • Joy, A
  • Tongson, E
  • Dunshea, FR
Copyright, Publisher and Additional Information: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Keywords: animal welfare; skin temperature; artificial intelligence; heart rate; respiration rate
Dates:
  • Published: 6 November 2020
  • Accepted: 4 November 2020
  • Published (online): 6 November 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biology (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 17 Nov 2020 15:30
Last Modified: 17 Nov 2020 15:30
Status: Published online
Publisher: MDPI
Identification Number: https://doi.org/10.3390/s20216334

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