Using imagery and computer vision as remote monitoring methods for early detection of respiratory disease in pigs

Jorquera-Chavez, M, Fuentes, S, Dunshea, FR et al. (5 more authors) (2021) Using imagery and computer vision as remote monitoring methods for early detection of respiratory disease in pigs. Computers and Electronics in Agriculture, 187. 106283. ISSN 0168-1699 (In Press)

Abstract

Metadata

Authors/Creators:
  • Jorquera-Chavez, M
  • Fuentes, S
  • Dunshea, FR
  • Warner, RD
  • Poblete, T
  • Unnithan, RR
  • Morrison, RS
  • Jongman, EC
Copyright, Publisher and Additional Information: © 2021 Elsevier B.V. All rights reserved. This is an author produced version of an article, published in Computers and Electronics in Agriculture. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Animal monitoring; Non-invasive methods; Contactless monitoring; Animal health; Physiological indicators
Dates:
  • Published: August 2021
  • Accepted: 16 June 2021
  • Published (online): 23 June 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: 20 Jul 2021 10:22
Last Modified: 20 Jul 2021 10:22
Status: In Press
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.compag.2021.106283

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Embargoed until: 23 June 2022

Filename: Manuscript - Comp. Elec. Agri. (Submitting-Review).pdf

Licence: CC-BY-NC-ND 4.0

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