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First investigations to refine video-based IR thermography as a non-invasive tool to monitor the body temperature of calves

Published online by Cambridge University Press:  20 July 2015

G. Hoffmann ,
M. Schmidt  and
C. Ammon
G. Hoffmann*
Affiliation:
Department of Engineering for Livestock Management, Leibniz Institute for Agricultural Engineering Potsdam-Bornim, Max-Eyth-Allee 100, 14469 Potsdam, Germany
M. Schmidt
Affiliation:
Department of Engineering for Livestock Management, Leibniz Institute for Agricultural Engineering Potsdam-Bornim, Max-Eyth-Allee 100, 14469 Potsdam, Germany
C. Ammon
Affiliation:
Department of Engineering for Livestock Management, Leibniz Institute for Agricultural Engineering Potsdam-Bornim, Max-Eyth-Allee 100, 14469 Potsdam, Germany
*
† E-mail: [email protected]
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Abstract

In this study, a video-based infrared camera (IRC) was investigated as a tool to monitor the body temperature of calves. Body surface temperatures were measured contactless using videos from an IRC fixed at a certain location in the calf feeder. The body surface temperatures were analysed retrospectively at three larger areas: the head area (in front of the forehead), the body area (behind forehead) and the area of the entire animal. The rectal temperature served as a reference temperature and was measured with a digital thermometer at the corresponding time point. A total of nine calves (Holstein-Friesians, 8 to 35 weeks old) were examined. The average maximum temperatures of the area of the entire animal (mean±SD: 37.66±0.90°C) and the head area (37.64±0.86°C) were always higher than that of the body area (36.75±1.06°C). The temperatures of the head area and of the entire animal were very similar. However, the maximum temperatures as measured using IRC increased with an increase in calf rectal temperature. The maximum temperatures of each video picture for the entire visible body area of the calves appeared to be sufficient to measure the superficial body temperature. The advantage of the video-based IRC over conventional IR single-picture cameras is that more than one picture per animal can be analysed in a short period of time. This technique provides more data for analysis. Thus, this system shows potential as an indicator for continuous temperature measurements in calves.

Keywords

calveshealth controlIR thermographynon-invasivetemperature
Type
Research Article
Information
animal , Volume 10 , Supplement 9 , September 2016 , pp. 1542 - 1546
Copyright
© The Animal Consortium 2015 

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References

Alsaaod, M and Buescher, W 2012. Detection of hoof lesions using digital infrared thermography in dairy cows. Journal of Dairy Science 95, 735–742.Google Scholar
Bartolomé, E, Sanchez, M, Molina, A, Schaefer, A, Cervantes, I and Valera, M 2013. Using eye temperature and heart rate for stress assessment in young horses competing in jumping competitions and its possible influence on sport performance. Animal 7, 2044–2053.Google Scholar
Berry, RJ, Kennedy, AD, Scott, SL, Kyle, BL and Schaefer, AL 2003. Daily variation in the udder surface temperature of dairy cows measured by infrared thermography: potential for mastitis detection. Canadian Journal of Animal Science 83, 687–693.Google Scholar
Bland, JM and Altman, DG 1999. Measuring agreement in method comparison studies. Statistical Methods in Medical Research 8, 135–160.Google Scholar
Burfeind, O, von Keyserlingk, MAG, Weary, DM, Veira, DM and Heuwieser, W 2010. Short communication: repeatability of measures of rectal temperature in dairy cows. Journal of Dairy Science 93, 624–627.Google Scholar
Case, LA, Wood, BJ and Miller, SP 2012. Investigation of body surface temperature measured with infrared imaging and its correlation with feed efficiency in the turkey (Meleagris gallopavo). Journal of Thermal Biology 37, 397–401.Google Scholar
Chen, PH and White, CE 2006. Comparison of rectal, microchip transponder, and infrared thermometry techniques for obtaining body temperature in the laboratory rabbit (Oryctolagus cuniculus). Journal of the American Association for Laboratory Animal Science 45, 57–63.Google ScholarPubMed
Chiang, MF, Lin, PW, Lin, LF, Chiou, HY, Chien, CW, Chu, SF and Chiu, WT 2008. Mass screening of suspected febrile patients with remote-sensing infrared thermography: alarm temperature and optimal distance. Journal of the Formosan Medical Association 107, 937–944.CrossRefGoogle ScholarPubMed
George, WD, Godfrey, RW, Ketring, RC, Vinson, MC and Willard, ST 2014. Relationship among eye and muzzle temperatures measured using digital infrared thermal imaging and vaginal and rectal temperatures in hair sheep and cattle. Journal of Anmial Science 92, 4949–4955.Google Scholar
Gloster, J, Ebert, K, Gubbins, S, Bashiruddin, J and Paton, DJ 2011. Normal variation in thermal radiated temperature in cattle: implications for foot-and-mouth disease detection. BMC (Biomedcentral) Veterinary Research 7:73. doi:10.1186/1746-6148-7-73, Published online: http://www.biomedcentral.com/1746-6148/7/73.Google Scholar
Hoffmann, G, Schmidt, M, Ammon, C, Rose-Meierhofer, S, Burfeind, O, Heuwieser, W and Berg, W 2013. Monitoring the body temperature of cows and calves using video recordings from an infrared thermography camera. Veterinary Research Communications 37, 91–99.CrossRefGoogle ScholarPubMed
Johnson, SR, Rao, S, Hussey, SB, Morley, PS and Traub-Dargatz, JL 2011. Thermographic eye temperature as an index to body temperature in ponies. Journal of Equine Veterinary Science 31, 63–66.CrossRefGoogle Scholar
Kammersgaard, T, Malmkvist, J and Pedersen, L 2013. Infrared thermography – a non-invasive tool to evaluate thermal status of neonatal pigs based on surface temperature. Animal 7, 2026–2034.CrossRefGoogle ScholarPubMed
Knížková, I, Kunc, P, Gurdil, G, Pnar, Y and Selvi, K 2007. Applications of infrared thermography in animal production. The Journal of Agricultural Faculty of Ondokuz Mayis University 22, 329–336.Google Scholar
Ludbrook, J 2010. Confidence in Altman-Bland plots: a critical review of the method of differences. Clinical and Experimental Pharmacology and Physiology 37, 143–149.Google Scholar
Montanholi, Y, Swanson, K, Palme, R, Schenkel, F, McBride, B, Lu, D and Miller, S 2010. Assessing feed efficiency in beef steers through feeding behavior, infrared thermography and glucocorticoids. Animal 4, 692–701.Google Scholar
Naylor, JM, Streeter, RM and Torgerson, P 2012. Factors affecting rectal temperature measurement using commonly available digital thermometers. Research in Veterinary Science 92, 121–123.CrossRefGoogle ScholarPubMed
Ng, EYK, Kawb, GJL and Chang, WM 2004. Analysis of IR thermal imager for mass blind fever screening. Microvascular Research 68, 104–109.Google Scholar
Okada, K, Takemura, K and Sato, S 2013. Investigation of various essential factors for optimum infrared thermography. Journal of Veterinary Medical Science 75, 1349–1353.Google Scholar
Pohl, A, Heuwieser, W and Burfeind, O 2014. Technical note: assessment of milk temperature measured by automatic milking systems as an indicator of body temperature and fever in dairy cows. Journal of Dairy Science 97, 4333–4339.Google Scholar
Rainwater-Lovett, K, Pacheco, JM, Packer, C and Rodriguez, LL 2009. Detection of foot-and-mouth disease virus infected cattle using infrared thermography. Veterinary Journal 180, 317–324.Google Scholar
Rose-Dye, TK, Burciaga-Robles, LO, Krehbiel, CR, Step, DL, Fulton, RW, Confer, AW and Richards, CJ 2011. Rumen temperature change monitored with remote rumen temperature boluses after challenges with bovine viral diarrhea virus and Mannheimia haemolytica. Journal of Animal Science 89, 1193–1200.Google Scholar
Schaefer, AL, Cook, N, Tessaro, SV, Deregt, D, Desroches, G, Dubeski, PL, Tong, AKW and Godson, DL 2004. Early detection and prediction of infection using infrared thermography. Canadian Journal of Animal Science 84, 73–80.Google Scholar
Schaefer, AL, Cook, NJ, Bench, C, Chabot, JB, Colyn, J, Liu, T, Okine, EK, Stewart, M and Webster, JR 2012. The non-invasive and automated detection of bovine respiratory disease onset in receiver calves using infrared thermography. Research in Veterinary Science 93, 928–935.Google Scholar
Schmidt, M, Lahrmann, KH, Ammon, C, Berg, W, Schoen, P and Hoffmann, G 2013. Assessment of body temperature in sows by two infrared thermography methods at various body surface locations. Journal of Swine Health and Production 21, 203–209.Google Scholar
Stewart, M, Webster, JR, Verkerk, GA, Schaefer, AL, Colyn, JJ and Stafford, KJ 2007. Non-invasive measurement of stress in dairy cows using infrared thermography. Physiology & Behavior 92, 520–525.CrossRefGoogle ScholarPubMed
Talukder, S, Kerrisk, KL, Ingenhoff, L, Thomson, PC, Garcia, SC and Celi, P 2014. Infrared technology for estrus detection and as a predictor of time of ovulation in dairy cows in a pasture-based system. Theriogenology 81, 925–935.Google Scholar
Wolfe, WL and Zissis, GJ 1985. The infrared handbook, revised edition. General Dynamics, Office of Naval Research, Department of Navy, Washington, DC.Google Scholar
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