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Thermography for disease detection in livestock: A scoping review
Infra-red thermography (IRT) offers potential opportunities as a tool for disease detection in livestock. Despite considerable research in this area, there are no common standards or protocols for managing IRT parameters in animal disease detection research. In this review, we investigate parameters...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395652/ https://www.ncbi.nlm.nih.gov/pubmed/36016809 http://dx.doi.org/10.3389/fvets.2022.965622 |
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author | McManus, Rosemary Boden, Lisa A. Weir, William Viora, Lorenzo Barker, Robert Kim, Yunhyong McBride, Pauline Yang, Shufan |
author_facet | McManus, Rosemary Boden, Lisa A. Weir, William Viora, Lorenzo Barker, Robert Kim, Yunhyong McBride, Pauline Yang, Shufan |
author_sort | McManus, Rosemary |
collection | PubMed |
description | Infra-red thermography (IRT) offers potential opportunities as a tool for disease detection in livestock. Despite considerable research in this area, there are no common standards or protocols for managing IRT parameters in animal disease detection research. In this review, we investigate parameters that are essential to the progression of this tool and make recommendations for their use based on the literature found and the veterinary thermography guidelines from the American Academy of Thermology. We analyzed a defined set of 109 articles concerned with the use of IRT in livestock related to disease and from these articles, parameters for accurate IRT were identified and sorted into the fields of camera-, animal- or environment-related categories to assess the practices of each article in reporting parameters. This review demonstrates the inconsistencies in practice across peer-reviewed articles and reveals that some important parameters are completely unreported while others are incorrectly captured and/or under-represented in the literature. Further to this, our review highlights the lack of measured emissivity values for live animals in multiple species. We present guidelines for the standards of parameters that should be used and reported in future experiments and discuss potential opportunities and challenges associated with using IRT for disease detection in livestock. |
format | Online Article Text |
id | pubmed-9395652 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93956522022-08-24 Thermography for disease detection in livestock: A scoping review McManus, Rosemary Boden, Lisa A. Weir, William Viora, Lorenzo Barker, Robert Kim, Yunhyong McBride, Pauline Yang, Shufan Front Vet Sci Veterinary Science Infra-red thermography (IRT) offers potential opportunities as a tool for disease detection in livestock. Despite considerable research in this area, there are no common standards or protocols for managing IRT parameters in animal disease detection research. In this review, we investigate parameters that are essential to the progression of this tool and make recommendations for their use based on the literature found and the veterinary thermography guidelines from the American Academy of Thermology. We analyzed a defined set of 109 articles concerned with the use of IRT in livestock related to disease and from these articles, parameters for accurate IRT were identified and sorted into the fields of camera-, animal- or environment-related categories to assess the practices of each article in reporting parameters. This review demonstrates the inconsistencies in practice across peer-reviewed articles and reveals that some important parameters are completely unreported while others are incorrectly captured and/or under-represented in the literature. Further to this, our review highlights the lack of measured emissivity values for live animals in multiple species. We present guidelines for the standards of parameters that should be used and reported in future experiments and discuss potential opportunities and challenges associated with using IRT for disease detection in livestock. Frontiers Media S.A. 2022-08-09 /pmc/articles/PMC9395652/ /pubmed/36016809 http://dx.doi.org/10.3389/fvets.2022.965622 Text en Copyright © 2022 McManus, Boden, Weir, Viora, Barker, Kim, McBride and Yang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Veterinary Science McManus, Rosemary Boden, Lisa A. Weir, William Viora, Lorenzo Barker, Robert Kim, Yunhyong McBride, Pauline Yang, Shufan Thermography for disease detection in livestock: A scoping review |
title | Thermography for disease detection in livestock: A scoping review |
title_full | Thermography for disease detection in livestock: A scoping review |
title_fullStr | Thermography for disease detection in livestock: A scoping review |
title_full_unstemmed | Thermography for disease detection in livestock: A scoping review |
title_short | Thermography for disease detection in livestock: A scoping review |
title_sort | thermography for disease detection in livestock: a scoping review |
topic | Veterinary Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395652/ https://www.ncbi.nlm.nih.gov/pubmed/36016809 http://dx.doi.org/10.3389/fvets.2022.965622 |
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