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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 (2022) Thermography for disease detection in livestock: A scoping review. Frontiers in Veterinary Science, 9 . Article Number 965622. ISSN 2297-1769. (doi:10.3389/fvets.2022.965622) (KAR id:98222)


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.

Item Type: Article
DOI/Identification number: 10.3389/fvets.2022.965622
Subjects: Q Science > QC Physics > QC355 Optics
S Agriculture > SF Animal culture
T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters etc. Industrial instrumentation
T Technology > TA Engineering (General). Civil engineering (General) > TA1520 Applied optics. Photonics
T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing
Divisions: Divisions > Division of Natural Sciences > Chemistry and Forensics
Funders: Scottish Funding Council (
Depositing User: Robert Barker
Date Deposited: 22 Nov 2022 02:29 UTC
Last Modified: 04 Mar 2024 16:58 UTC
Resource URI: (The current URI for this page, for reference purposes)

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