Е-Публикации
Технически университет - София

Abstract: This study investigated the temperature distribution in the eye area of dairy cows based on the relationship between the temperature-humidity index (THI) and surface temperature using infrared thermography (IRT). Animals under moderate heat stress were divided into two groups according to the measured THI values, and then the minimum, average and maximum eye temperatures were analyzed. Although statistical tests did not indicate significant differences (p > 0.05), box and whisker plots revealed a steady upward trend in temperature as the value increased THI. These values suggest early thermoregulatory adaptation, indicating that cows are coping with heat stress under moderate heat stress. The results also highlight the potential of thermography for non-invasive monitoring of heat stress in dairy herds.

References

1. N. R. St-Pierre, B. Cobanov, and G. Schnitkey, „Economic losses from heat stress by US livestock industries,“, Journal of Dairy Science, vol. 86, Supplement, pp. E52-E77, June 2003. DOI 10.3168/jds.S0022-0302(03)74040-5
2. L. Chen, V.M. Thorup, A.B. Kudahl, and S. Østergaard, „Effects of heat stress on feed intake, milk yield, milk composition, and feed efficiency in dairy cows: A meta-analysis,“Journal of Dairy Science, vol. 107(5), pp. 3207-3218, May 2024, DOI 10.3168/jds.2023-24059
3. F. U. Jhora, and Mairizwan, “Skin temperature monitoring with an instrument infrared sensors measuring based on direction and distance,” Journal of Physics: Conference Series, vol. 1876 012023, 2021, DOI 10.1088/1742-6596/1876/1/012023
4. A. Casas-Alvarado, A. Ogi, D. Villanueva-García, J. Martínez-Burnes, I. Hernández-Avalos, A. Olmos-Hernández, P. Mora-Medina, A. Domínguez-Oliva, and D. Mota-Rojas, “Application of Infrared Thermography in the Rehabilitation of Patients in Veterinary Medicine,” Animals, vol. 14(5), 696, 2024, DOI 10.3390/ani14050696
5. H. Bansi, „Utilization of Infrared Thermography in Cattle Production and Its Application Potency in Indonesia,“WARTAZOA, vol. 28(3), pp.099-106, 2018, DOI: 10.14334/wartazoa.v28i3.1858
6. C. R. Quirino, J. G. Jardim, L. M. Nogueira, A. R. M. González, and A. F. Madella-Oliveira, “Infrared thermography to map the udder health status of zebuine dairy cows,” Tropical and Subtropical Agroecosystems vol. 25(1), #016, pp.1-9, 2022.
7. V. Korelidou, P. Simitzis, T. Massouras, and A. I. Gelasakis, “Infrared Thermography as a Diagnostic Tool for the Assessment of Mastitis in Dairy Ruminants,” Animals, vol.14 (18), 2691, 2024, DOI 10.3390/ani14182691,
8. N. A. F Machado, L. B. S. Da Costa, J. A. D. Barbosa-Filho, K. P. L. De Oliveira, L. C. De Sampaio, M. S. M. Peixoto, and F. A. Damasceno, “Using infrared thermography to detect subclinical mastitis in dairy cows in compost barn systems,” Journal of Thermal Biology, vol. 97, 102881, April 2021, DOI 10.1016/j.jtherbio.2021.102881
9. D. Nikolov, B. Ganev, M. B. Marinov, V. M. Garistov, and G. Angelov, “Evaluation of High Precision Temperature Sensors,” 2024 33rd International Scientific Conference Electronics (ET), Sozopol, Bulgaria, pp. 1-4, 2024, DOI 10.1109/ET63133.2024.10721490
10. T. Georgieva, S. Penchev, and P. Daskalov, "Analysis of the possibilities for using computer vision and spectral analysis to assess the wheat crops condition," 8th International Conference on Energy Efficiency and Agricultural Engineering (EE&AE), Ruse, Bulgaria, pp. 1-4, 2022, DOI 10.1109/EEAE53789.2022.9831308
11. T. Petrova, M. Marinov, and Z. Petrov, “Study of an Index for Assessing Grass Quality in Pastures Using RGB Images Obtained by Unmanned Aerial Vehicle,” 23rd International Symposium INFOTEH-JAHORINA (INFOTEH), East Sarajevo, Bosnia and Herzegovina, pp. 1-6, 2024, DOI 10.1109/INFOTEH60418.2024.10495944
12. T. Valkovski, D. Saliev, and I. Damyanov, "Use of Thermography Methods for Monitoring Grazing Livestock," 58th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST), Nis, Serbia, 2023, pp. 299-302, DOI 10.1109/ICEST58410.2023.10187214
13. T. Georgieva, N. Bencheva, P. Daskalov, H. Yahoui, and S. Khemmarath, "Capacity development by implementation of PLC trainings towards Industry 4.0," 31st Annual Conference of the European Association for Education in Electrical and Information Engineering (EAEEIE), Coimbra, Portugal, pp. 1-4, 2022, DOI 10.1109/EAEEIE54893.2022.9820526
14. T. Georgieva, S. Penchev, G. Manchev, L. Ivanov, G. Ginchev, and G. Ivanova-Kovacheva, "Approach for Indirect Measurement of Chlorophyll and Phenophases of Maize Plant Using Image Processing," 9th International Conference on Energy Efficiency and Agricultural Engineering (EE&AE), Ruse, Bulgaria, pp. 1-5, 2024, DOI 10.1109/ EEAE60309. 2024.10600502.
15. G. D. Mladenov, “Application of methodology for the organization of a roundabout to increase the capacity of a conventional intersection of Sofia. Part I: Geometric characteristics,” AIP Conf. Proc. 24, 3078 (1): 050005, April 2024, DOI 10.1063/5.0208258
16. G. D. Mladenov, and S. P. Stoyanov, “Application of methodology for the organization of a roundabout to increase the capacity of a conventional intersection of Sofia. Part II: Road traffic loading.”, AIP Conf. Proc. 24, 3078 (1): 050006, April 2024, DOI 10.1063/5.0208260
17. G. D. Mladenov, D. N. Saliev, and H. Abdurahman, “Integrated brake disc temperature measurement system,” AIP Conf. Proc. 1, 2449 (1): 050008, September 2022, DOI 10.1063/5.0091883
18. G. Popov, M. Nenova, and K. Raynova, "Investigation of reliability of diversity systems through stress-strength model analysis," Seventh Balkan Conference on Lighting (BalkanLight), Varna, Bulgaria, pp. 1-4, 2018, DOI 10.1109/BalkanLight.2018.8546869
19. Z. M. Zhang, B. K. Tsai, and G. Machin Benjamin, Radiometric Temperature Measurements. I. Fundamentals, Academic Press, 2009.
20. Teledyne FLIR, “FLIR Systems – Thermal Imaging, Night Vision and Infrared Camera Systems,”, [Online]. Available: https://www.flir.eu/. [Accessed: July. 1, 2025].
21. D. V. Armstrong, „Heat Stress Interaction with Shade and Cooling,“Journal of Dairy Science, vol. 77(7), pp. 2044-2050, July 1994, DOI 10.3168/jds.S0022-0302(94)77149-6
22. S. Dikmen, and P. J. Hansen, “Is the temperature-humidity index the best indicator of heat stress in lactating dairy cows in a 29 subtropical environment?,” Journal of Dairy Science, vol. 92(1), pp.109-116, January 2009, DOI 10.3168/jds.2008-1370
23. E. C. Thom, “The discomfort index,” Weatherwise, vol.12(2), pp.57–61, 1959, DOI 10.1080/00431672.1959.9926960

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