- citati na Portalu: 0
- citati u CrossRef-u:0
- citati u Google Scholaru:[
 ]
- posete u poslednjih 30 dana:29
- preuzimanja u poslednjih 30 dana:0
|
|
|
|
|
|
Infracrvena termografija - varijabilnosti i korelacije izmerenih temperatura kod krava
Infrared thermography: Variability and correlations of measured temperatures in cows
aALDAHRA Serbia, Beograd bUniverzitet u Novom Sadu, Poljoprivredni fakultet, Departman za veterinarsku medicinu, Srbija
e-adresa: bojan.blond@gmail.com
Projekat: Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije (institucija: Univerzitet u Novom Sadu, Poljoprivredni fakultet) (MPNTR - 451-03-68/2020-14/200117)
Project number 142-451-3035/2023-01/01, which was financed by the Provincial Secretariat for Higher Education and Scientific Research of Vojvodina
Sažetak
Upotreba termovizijske kamere predstavlja pouzdanu, neinvazivnu metodu procene tolpotnog stresa. misivnost koju površina tela odaje se kod goveda kreće od 0,93-0,98, što infracrvenu termografiju čini izuzetno prikaldnom metodom. erenjem temperature različitih anatomskih regija može se odrediti toplotna opterećenost kao i njihova međusobna varijabilnost u odnosu na spoljašnje temperature. ermovizijskom kamerom je moguće napraviti maksimalne, srednje i minimalne IR (infrared termograme). akođe je moguće proceniti koji termogrami su najprecizniji za procenu toplotnog opterećenja. Korelacione analize na termogramima pokazuju značajnu povezanost između spoljašnje ambijentalne temperature i temperature različitih regija tela kod krava u toplotnom stresu. Koeficijent determinacije je u proseku iznostio 94,27%, što ukazuje na veoma visoku vezu između temperature površine tela i ambijentalne temperature. U našem eksperimentu bavili smo se posebno temperaturama abdomena i temperature regije glave. rosečne, maksimalne i pozicione vrednosti temperature ove dve regije međusobno značajno koreliraju tako da je koeficijent determinacije od 96,33% za proseke, do preko 98% kada su u pitanju maksimalne vrednosti temperature date regije ili pozicione vrednosti piksela po uzdužnim osama regije. Sledeća značajna regija je regija vimena, a nađena je značajna korelacija između maksimalne temperature vimena sa maksimalnim temperaturama regije glave (koeficijent determinacije 93%) i regije abdomena (koeficijent determinacije 98%). Regija ekstremiteta ne pokazuje značajne korelacije sa regijom glave, dok je korelacija sa abdomenom bila na nivou 82%. I na kraju, postojala je značajna povezanost između temperature leve i desne strane tela sa koeficijentom determinacije od 97%. Sve navedeno potvrđuje da je pomoću podataka poreklom sa termograma moguće odrediti toplotnu opterećenost kod krava. U ovom radu je dat i detaljan pregled dosadašnjih različitih korelacionih istraživanja kod infracrvenog merenja.
Abstract
The use of a thermal imaging camera is a reliable, non-invasive method of assessing compressive stress. The emissivity given by the body surface in cattle ranges from 0.93-0.98, which makes infrared thermography an extremely suitable method. By measuring the temperature of different anatomical regions, it is possible to determine the thermal load as well as their mutual variability in relation to external temperatures. With the thermal imaging camera, it is possible to make maximum, medium and minimum IRT (infrared thermograms). It is also possible to evaluate which thermograms are the most accurate for assessing heat load. Correlation analyzes on thermograms show a significant relationship between the external ambient temperature and the temperature of different body regions in cows under heat stress. The coefficient of determination averaged 94.27%, indicating a very high correlation between body surface temperature and ambient temperature. In our experiment, we dealt specifically with the temperatures of the abdomen and the temperature of the head region. The average, maximum and positional temperature values of these two regions correlate significantly with each other so that the coefficient of determination is 96.33% for averages, up to over 98% when it comes to the maximum temperature values of a given region or the positional values of pixels along the longitudinal axes of the region. The next important region is the udder region, and a significant correlation was found between the maximum temperature of the udder with the maximum temperatures of the head region (determination coefficient 93%) and the abdomen region (determination coefficient 98%). The limb region does not show significant correlations with the head region, while the correlation with the abdomen was at the level of 82%. And finally, there was a significant correlation between the temperature of the left and right sides of the body with a coefficient of determination of 97%. All of the above confirms that it is possible to determine heat stress in cows using data from thermograms. In this paper, a detailed overview of various correlational researches in infrared measurement is given.
|
|
|
|
Reference
|
| |
Naknadno pridodat članak: provera, normiranje i linkovanje referenci u toku. |
|
|
Uddin J., McNeill D.M., Lisle A.T., Phillips C.J. A sampling strategy for the determination of infrared temperature of relevant external body surfaces of dairy cows. International Journal of Biometeorology 2020, 64, 1583-1592
|
|
|
Byrne D.T., Berry D.P., Esmonde H., McHugh N. Temporal, spatial, inter-, and intra-cow repeatability of thermal imaging. J Anim Sci 2017, 95:970-979
|
|
|
Byrne D.T., Berry D.P., Esmonde H., McGovern F., Creighton P., McHugh N. Infrared thermography as a tool to detect hoof lesions in sheep. TAS 2019, 3,577-588
|
|
|
Uddin J., Phillips C.J.C., Goma A.A., McNeill D.M. Relationships between infrared temperature and laterality. Appl Anim Behav Sci 2019, 220, 104855
|
|
|
Church J.S., Hegadoren P.R., Paetkau M.J., Miller C.C., Regev-Shoshani G., Schaefer A.L., Schwartzkopf-Genswein K.S. Influence of environmental factors on infrared eye temperature measurements in cattle. Res Vet Sci. 2014, 96(1),220-226. doi: 10.1016/j.rvsc.2013.11.006
|
|
|
Daltro D.D.S., Fischer V., Alfonzo E.P.M., Dalcin V.C., Stumpf M.T., Kolling G.J., McManus C. Infrared thermography as a method for evaluating the heat tolerance in dairy cows. Revista Brasileira de Zootecnia 2017, 46, 374-383
|
|
|
Yadav B., Singh G., Wankar A. The use of infrared skin temperature measurements for monitoring heat stress and welfare of crossbred cattle. Indian J. Dairy Sci 2017, 70(1), 1-5
|
|
|
de Lima V., Piles M., Rafel O., López-Béjar M., Ramón J., Velarde A., Dalmau A. Use of infrared thermography to assess the influence of high environmental temperature on rabbits. Res Vet Sci 2013, 95(2):802-810
|
|
|
Ghezzi M.D., Napolitano F., Casas-Alvarado A., Hernández-Ávalos I., Domínguez-Oliva A., Olmos-Hernández A., Pereira A.M. Utilization of Infrared Thermography in Assessing Thermal Responses of Farm Animals under Heat Stress. Animals 2024, 14(4), 616
|
|
|
Montanholi Y.R., Odongo N.E., Swanson K.C., Schenkel F.S., McBride B.W., Miller S.P. Application of infrared thermography as an indicator of heat and methane production and its use in the study of skin temperature in response to physiological events in dairy cattle (Bos taurus). J Therm Biol 2008, 33:468-475
|
|
|
Bakony M., Kovács L., Kézér L.F., Jurkovich V. The use of body surface temperatures in assessing thermal status of hutchreared dairy calves in shaded and unshaded conditions. Frontiers in Veterinary Science 2023, 10
|
|
|
Martello L.S., da Luz e Silva S., da Costa Gomes R., da Silva Corte R.R.P., Leme P.R. Infrared thermography as a tool to evaluate body surface temperature and its relationship with feed efficiency in Bos indicus cattle in tropical conditions. International journal of biometeorology 2016, 60, 173-181
|
|
|
Peng D., Chen S., Li G., Chen J., Wang J., Gu X. Infrared thermography measured body surface temperature and its relationship with rectal temperature in dairy cows under different temperature-humidity indexes. International journal of biometeorology 2019, 63, 327-336
|
|
|
Idris M., Uddin J., Sullivan M., McNeill D.M., Phillips C.J. Non-invasive physiological indicators of heat stress in cattle. Animals 2021, 11(1), 71
|
|
|
Salles M.S.V., da Silva S.C., Salles F.A., Roma Jr L.C., El Faro L., Mac Lean P.A.B., Martello L.S. Mapping the body surface temperature of cattle by infrared thermography. Journal of Thermal Biology 2016, 62, 63-69
|
|
|
Tucker B.S., Jorquera-Chavez M., Petrovski K.R., Craig J.R., Morrison R.S., Smits R.J., Kirkwood R.N. Comparing surface temperature locations with rectal temperature in neonatal piglets under production conditions. Journal of Applied Animal Research 2023, 51(1), 212-219
|
|
|
Švantner M., Lang V., Skála J., Kohlschütter T., Honner M., Muzika L., Kosová E. Statistical study on human temperature measurement by infrared thermography. Sensors 2022, 22(21), 8395
|
|
|
Luximon A., Chao H., Goonetilleke R.S., Luximon Y. Theory and applications of InfraRed and thermal image analysis in ergonomics research. Frontiers in Computer Science 2022, 4, 990290
|
|
|
Kim D.W., Zhang H.Y., Yoo J.H., Park Y.S., Song H.J., Yang K.H. The correlation between tympanic membrane temperature and specific region of face temperature. Quantitative InfraRed Thermography Journal 2019, 16(1), 1-7
|
|
|
Blond B., Majkić M., Spasojević J., Hristov S., Radinović M., Nikolić S., ... Cincović, M. Influence of Heat Stress on Body Surface Temperature and Blood Metabolic, Endocrine, and Inflammatory Parameters and Their Correlation in Cows. Metabolites 2024, 14(2), 104
|
|
|
|
|