Non-invasive measure of heat stress in sheep using machine learning techniques and infrared thermography

Joy, A, Taheri, S, Dunshea, FR orcid.org/0000-0003-3998-1240 et al. (5 more authors) (2022) Non-invasive measure of heat stress in sheep using machine learning techniques and infrared thermography. Small Ruminant Research, 207. 106592. ISSN 0197-7393

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Item Type: Article
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© 2021 Elsevier B.V. All rights reserved. This is an author produced version of an article published in Small Ruminant Research. Uploaded in accordance with the publisher's self-archiving policy.

Keywords: Heat stress; Infrared thermography; Machine learning; Rectal temperature
Dates:
  • Published: February 2022
  • Published (online): 28 November 2021
  • Accepted: 26 November 2021
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: 22 Aug 2022 08:20
Last Modified: 28 Nov 2022 01:13
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.smallrumres.2021.106592
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