Prediction of core body temperature using infra-red thermography in buffaloes.
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| Title: | Prediction of core body temperature using infra-red thermography in buffaloes. |
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| Authors: | Balhara, Ashok Kumar, Jan, Mustafa Hasan, Hooda, Ekta, Kumar, Krishan, Ghanghas, Amandeep, Sangwan, Suman, Balhara, Sunesh, Phulia, SK, Yadav, Sarita, Boora, Ashok, Kumar, Sanjay, Singh, Sajjan, Datta, TK |
| Source: | Italian Journal of Animal Science; Dec2024, Vol. 23 Issue 1, p834-841, 8p |
| Subject Terms: | INFRARED imaging, THERMOGRAPHY, INFRARED cameras, BODY temperature, DIAGNOSTIC imaging |
| Abstract: | Rectal thermometers are commonly used to assess animal health, but non-invasive methods like thermal imaging are gaining popularity for their ease. This study explores using infra-red thermography to measure eye temperatures as a proxy for body temperature in buffaloes. Among 280 adult female buffaloes, rectal temperature averaged 38.26 ± 0.38 °C, while eye temperature averaged 36.99 ± 0.47 °C. Statistical analysis showed a significant positive correlation (0.674, p < 0.001) between eye and rectal temperatures in adult buffaloes. Moderate correlations were also found between rectal temperature and ambient temperature (0.488, p < 0.001), as well as with ocular temperature (0.488, p < 0.001), while the correlation with humidity was low (0.176, p < 0.05). Regression modelling incorporating rectal and eye temperatures, ambient temperature, and humidity revealed that ocular temperature and ambient temperature significantly affect rectal temperature. The developed equation RT ̂ = 20.377 + 0.465(AET) + 0.024(AT) accurately predicts rectal temperature in buffaloes, with R2 of 51.6%, RMSE = 0.272, and AIC = 71.601 indicating satisfactory variability. These findings highlight the potential of thermal imaging as a diagnostic tool and provide insights into temperature measurement interrelationships. HIGHLIGHTS: The study highlights infra-red thermal imaging as a non-invasive technique for remotely measuring the core temperature of buffaloes. There is a significant and high correlation (p < 0.001) between rectal temperature (RT) and average eye temperature (AET) in buffaloes, indicating proportional shifts in AET with changes in RT. The relationship between rectal temperature (RT) and average eye temperature (AET) is quantified by the equation RT = 20.377 + 0.465(AET) + 0.024(AT), derived from a regression model with R2 of 51.6% and absence of autocorrelation (Durbin-Watson = 1.318), where AT represents ambient temperature. [ABSTRACT FROM AUTHOR] |
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| Database: | Complementary Index |
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| Abstract: | Rectal thermometers are commonly used to assess animal health, but non-invasive methods like thermal imaging are gaining popularity for their ease. This study explores using infra-red thermography to measure eye temperatures as a proxy for body temperature in buffaloes. Among 280 adult female buffaloes, rectal temperature averaged 38.26 ± 0.38 °C, while eye temperature averaged 36.99 ± 0.47 °C. Statistical analysis showed a significant positive correlation (0.674, p < 0.001) between eye and rectal temperatures in adult buffaloes. Moderate correlations were also found between rectal temperature and ambient temperature (0.488, p < 0.001), as well as with ocular temperature (0.488, p < 0.001), while the correlation with humidity was low (0.176, p < 0.05). Regression modelling incorporating rectal and eye temperatures, ambient temperature, and humidity revealed that ocular temperature and ambient temperature significantly affect rectal temperature. The developed equation RT ̂ = 20.377 + 0.465(AET) + 0.024(AT) accurately predicts rectal temperature in buffaloes, with R<sup>2</sup> of 51.6%, RMSE = 0.272, and AIC = 71.601 indicating satisfactory variability. These findings highlight the potential of thermal imaging as a diagnostic tool and provide insights into temperature measurement interrelationships. HIGHLIGHTS: The study highlights infra-red thermal imaging as a non-invasive technique for remotely measuring the core temperature of buffaloes. There is a significant and high correlation (p < 0.001) between rectal temperature (RT) and average eye temperature (AET) in buffaloes, indicating proportional shifts in AET with changes in RT. The relationship between rectal temperature (RT) and average eye temperature (AET) is quantified by the equation RT = 20.377 + 0.465(AET) + 0.024(AT), derived from a regression model with R<sup>2</sup> of 51.6% and absence of autocorrelation (Durbin-Watson = 1.318), where AT represents ambient temperature. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 15944077 |
| DOI: | 10.1080/1828051X.2024.2358872 |