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First Evaluation of Infrared Thermography as a Tool for the Monitoring of Udder Health Status in Farms of Dairy Cows
The aim of the present study was to test infrared thermography (IRT), under field conditions, as a possible tool for the evaluation of cow udder health status. Thermographic images (n. 310) from different farms (n. 3) were collected and evaluated using a dedicated software application to calculate a...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877300/ https://www.ncbi.nlm.nih.gov/pubmed/29538352 http://dx.doi.org/10.3390/s18030862 |
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author | Zaninelli, Mauro Redaelli, Veronica Luzi, Fabio Bronzo, Valerio Mitchell, Malcolm Dell’Orto, Vittorio Bontempo, Valentino Cattaneo, Donata Savoini, Giovanni |
author_facet | Zaninelli, Mauro Redaelli, Veronica Luzi, Fabio Bronzo, Valerio Mitchell, Malcolm Dell’Orto, Vittorio Bontempo, Valentino Cattaneo, Donata Savoini, Giovanni |
author_sort | Zaninelli, Mauro |
collection | PubMed |
description | The aim of the present study was to test infrared thermography (IRT), under field conditions, as a possible tool for the evaluation of cow udder health status. Thermographic images (n. 310) from different farms (n. 3) were collected and evaluated using a dedicated software application to calculate automatically and in a standardized way, thermographic indices of each udder. Results obtained have confirmed a significant relationship between udder surface skin temperature (USST) and classes of somatic cell count in collected milk samples. Sensitivity and specificity in the classification of udder health were: 78.6% and 77.9%, respectively, considering a level of somatic cell count (SCC) of 200,000 cells/mL as a threshold to classify a subclinical mastitis or 71.4% and 71.6%, respectively when a threshold of 400,000 cells/mL was adopted. Even though the sensitivity and specificity were lower than in other published papers dealing with non-automated analysis of IRT images, they were considered acceptable as a first field application of this new and developing technology. Future research will permit further improvements in the use of IRT, at farm level. Such improvements could be attained through further image processing and enhancement, and the application of indicators developed and tested in the present study with the purpose of developing a monitoring system for the automatic and early detection of mastitis in individual animals on commercial farms. |
format | Online Article Text |
id | pubmed-5877300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-58773002018-04-09 First Evaluation of Infrared Thermography as a Tool for the Monitoring of Udder Health Status in Farms of Dairy Cows Zaninelli, Mauro Redaelli, Veronica Luzi, Fabio Bronzo, Valerio Mitchell, Malcolm Dell’Orto, Vittorio Bontempo, Valentino Cattaneo, Donata Savoini, Giovanni Sensors (Basel) Communication The aim of the present study was to test infrared thermography (IRT), under field conditions, as a possible tool for the evaluation of cow udder health status. Thermographic images (n. 310) from different farms (n. 3) were collected and evaluated using a dedicated software application to calculate automatically and in a standardized way, thermographic indices of each udder. Results obtained have confirmed a significant relationship between udder surface skin temperature (USST) and classes of somatic cell count in collected milk samples. Sensitivity and specificity in the classification of udder health were: 78.6% and 77.9%, respectively, considering a level of somatic cell count (SCC) of 200,000 cells/mL as a threshold to classify a subclinical mastitis or 71.4% and 71.6%, respectively when a threshold of 400,000 cells/mL was adopted. Even though the sensitivity and specificity were lower than in other published papers dealing with non-automated analysis of IRT images, they were considered acceptable as a first field application of this new and developing technology. Future research will permit further improvements in the use of IRT, at farm level. Such improvements could be attained through further image processing and enhancement, and the application of indicators developed and tested in the present study with the purpose of developing a monitoring system for the automatic and early detection of mastitis in individual animals on commercial farms. MDPI 2018-03-14 /pmc/articles/PMC5877300/ /pubmed/29538352 http://dx.doi.org/10.3390/s18030862 Text en © 2018 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Zaninelli, Mauro Redaelli, Veronica Luzi, Fabio Bronzo, Valerio Mitchell, Malcolm Dell’Orto, Vittorio Bontempo, Valentino Cattaneo, Donata Savoini, Giovanni First Evaluation of Infrared Thermography as a Tool for the Monitoring of Udder Health Status in Farms of Dairy Cows |
title | First Evaluation of Infrared Thermography as a Tool for the Monitoring of Udder Health Status in Farms of Dairy Cows |
title_full | First Evaluation of Infrared Thermography as a Tool for the Monitoring of Udder Health Status in Farms of Dairy Cows |
title_fullStr | First Evaluation of Infrared Thermography as a Tool for the Monitoring of Udder Health Status in Farms of Dairy Cows |
title_full_unstemmed | First Evaluation of Infrared Thermography as a Tool for the Monitoring of Udder Health Status in Farms of Dairy Cows |
title_short | First Evaluation of Infrared Thermography as a Tool for the Monitoring of Udder Health Status in Farms of Dairy Cows |
title_sort | first evaluation of infrared thermography as a tool for the monitoring of udder health status in farms of dairy cows |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877300/ https://www.ncbi.nlm.nih.gov/pubmed/29538352 http://dx.doi.org/10.3390/s18030862 |
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