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      Automated measurement of cattle surface temperature and its correlation with rectal temperature

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          Abstract

          The body temperature of cattle varies regularly with both the reproductive cycle and disease status. Establishing an automatic method for monitoring body temperature may facilitate better management of reproduction and disease control in cattle. Here, we developed an Automatic Measurement System for Cattle’s Surface Temperature (AMSCST) to measure the temperature of metatarsus by attaching a special shell designed to fit the anatomy of cattle’s hind leg. Using AMSCST, the surface temperature (ST) on the metatarsus of the hind leg was successively measured during 24 hours a day with an interval of one hour in three tested seasons. Based on ST and rectal temperature (RT) detected by AMSCST and mercury thermometer, respectively, a linear mixed model was established, regarding both the time point and seasonal factors as the fixed effects. Unary linear correlation and Bland-Altman analysis results indicated that the temperatures measured by AMSCST were closely correlated to those measured by mercury thermometer (R 2 = 0.998), suggesting that the AMSCST is an accurate and reliable way to detect cattle’s body temperature. Statistical analysis showed that the differences of STs among the three seasons, or among the different time points were significant ( P<0.05), and the differences of RTs among the different time points were similarly significant ( P<0.05). The prediction accuracy of the mixed model was verified by 10-fold cross validation. The average difference between measured RT and predicted RT was about 0.10 ± 0.10°C with the association coefficient of 0.644, indicating the feasibility of this model in measuring cattle body temperature. Therefore, an automated technology for accurately measuring cattle body temperature was accomplished by inventing an optimal device and establishing the AMSCST system.

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          A study of cross-validation and bootstrap for accuracy estimation and model selection in

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            A perspective on medical infrared imaging.

            Since the early days of thermography in the 1950s, image processing techniques, sensitivity of thermal sensors and spatial resolution have progressed greatly, holding out fresh promise for infrared (IR) imaging techniques. Applications in civil, industrial and healthcare fields are thus reaching a high level of technical performance. The relationship between body temperature and disease was documented since 400 bc. In many diseases there are variations in blood flow, and these in turn affect the skin temperature. IR imaging offers a useful and non-invasive approach to the diagnosis and treatment (as therapeutic aids) of many disorders, in particular in the areas of rheumatology, dermatology, orthopaedics and circulatory abnormalities. This paper reviews many usages (and hence the limitations) of thermography in biomedical fields.
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              Monitoring the body temperature of cows and calves using video recordings from an infrared thermography camera.

              The aim of this study was to assess the variability of temperatures measured by a video-based infrared camera (IRC) in comparison to rectal and vaginal temperatures. The body surface temperatures of cows and calves were measured contactless at different body regions using videos from the IRC. Altogether, 22 cows and 9 calves were examined. The differences of the measured IRC temperatures among the body regions, i.e. eye (mean: 37.0 °C), back of the ear (35.6 °C), shoulder (34.9 °C) and vulva (37.2 °C), were significant (P < 0.01), except between eye and vulva (P = 0.99). The quartile ranges of the measured IRC temperatures at the 4 above mentioned regions were between 1.2 and 1.8 K. Of the investigated body regions the eye and the back of the ear proved to be suitable as practical regions for temperature monitoring. The temperatures of these 2 regions could be gained by the use of the maximum temperatures of the head and body area. Therefore, only the maximum temperatures of both areas were used for further analysis. The data analysis showed an increase for the maximum temperature measured by IRC at head and body area with an increase of rectal temperature in cows and calves. The use of infrared thermography videos has the advantage to analyze more than 1 picture per animal in a short period of time, and shows potential as a monitoring system for body temperatures in cattle.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                20 April 2017
                2017
                : 12
                : 4
                : e0175377
                Affiliations
                [1 ]The Key Laboratory for Farm Animal Genetic and Utilization of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China
                [2 ]College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
                [3 ]State Key Laboratory for Agro-biotechnology, China Agricultural University, Beijing, China
                [4 ]Animal Husbandry Station of Beijing, Beijing, China
                Van Andel Institute, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: DW XLC.

                • Data curation: DW HXK.

                • Formal analysis: DW YQZ HXK.

                • Funding acquisition: DW YQL.

                • Investigation: DW XLC HXK.

                • Methodology: DW YQZ.

                • Project administration: DW XLC YQL KR.

                • Resources: DW YQL KR.

                • Software: DW YQZ HXK.

                • Supervision: DW XLC YQL KR.

                • Validation: DW YQZ HXK.

                • Writing – original draft: DW HXK.

                • Writing – review & editing: DW YQZ.

                Article
                PONE-D-16-28650
                10.1371/journal.pone.0175377
                5398510
                28426682
                0ca386ff-30fd-4f4b-ae3a-735f725de3fb
                © 2017 Kou et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 18 July 2016
                : 24 March 2017
                Page count
                Figures: 2, Tables: 2, Pages: 10
                Funding
                Funded by: the Beijing Innovation Team of Technology System in Dairy Industry
                Award ID: BAIC06-2016
                Award Recipient :
                Funded by: National Natural Science Foundation of China (CN)
                Award ID: 31372296
                Award Recipient :
                Funded by: the Agricultural Science and Technology Innovation Program (ASTIP)
                Award ID: cxgc-ias-06
                Award Recipient :
                This work was supported by grants from the Beijing Innovation Team of Technology System in Dairy Industry (BAIC06-2016), National Natural Science Foundation of China (No. 31372296) and the Agricultural Science and Technology Innovation Program (ASTIP) (cxgc-ias-06).
                Categories
                Research Article
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Body Temperature
                Medicine and Health Sciences
                Physiology
                Physiological Parameters
                Body Temperature
                Biology and Life Sciences
                Organisms
                Animals
                Vertebrates
                Amniotes
                Mammals
                Bovines
                Cattle
                Biology and Life Sciences
                Organisms
                Animals
                Vertebrates
                Amniotes
                Mammals
                Ruminants
                Cattle
                Engineering and Technology
                Equipment
                Measurement Equipment
                Thermometers
                Biology and Life Sciences
                Zoology
                Animal Anatomy
                Biology and Life Sciences
                Veterinary Science
                Veterinary Diseases
                Biology and Life Sciences
                Agriculture
                Livestock
                Physical Sciences
                Materials Science
                Material Properties
                Surface Properties
                Surface Temperature
                Research and Analysis Methods
                Chemical Characterization
                Temperature Analysis
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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                Uncategorized

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