Animal biometric assessment using non-invasive computer vision and machine learning are good predictors of dairy cows age and welfare: The future of automated veterinary support systems

Fuentes, S, Gonzalez Viejo, C, Tongson, E et al. (3 more authors) (2022) Animal biometric assessment using non-invasive computer vision and machine learning are good predictors of dairy cows age and welfare: The future of automated veterinary support systems. Journal of Agriculture and Food Research, 10. 100388. ISSN 2666-1543

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Artificial intelligence; Cows physiology; Mastitis; Animal biometrics; Short range remote sensing
Dates:
  • Accepted: 11 September 2022
  • Published (online): 13 September 2022
  • Published: December 2022
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: 19 Dec 2022 13:45
Last Modified: 19 Dec 2022 13:45
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.jafr.2022.100388
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