Biometric Physiological Responses from Dairy Cows Measured by Visible Remote Sensing Are Good Predictors of Milk Productivity and Quality through Artificial Intelligence

Fuentes, S, Gonzalez Viejo, C, Tongson, E et al. (2 more authors) (Cover date: 2 October 2021) Biometric Physiological Responses from Dairy Cows Measured by Visible Remote Sensing Are Good Predictors of Milk Productivity and Quality through Artificial Intelligence. Sensors, 21 (20). 6844. ISSN 1424-8220

Abstract

Metadata

Authors/Creators:
  • Fuentes, S
  • Gonzalez Viejo, C
  • Tongson, E
  • Lipovetzky, N
  • Dunshea, FR
Copyright, Publisher and Additional Information: © 2021 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 (https://creativecommons.org/licenses/by/4.0/)
Keywords: heart rate; respiration rate; abrupt movements; robotic dairy farm; artificial neural networks
Dates:
  • Published: 14 October 2021
  • Accepted: 13 October 2021
  • Published (online): 14 October 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: 03 Nov 2021 12:41
Last Modified: 03 Nov 2021 12:41
Status: Published online
Publisher: MDPI
Identification Number: https://doi.org/10.3390/s21206844

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