Relationships of infrared thermography temperature with core temperature in goat
Author:
Funder
Agriculture Research System of China
Fundamental Research Funds for the Central Universities
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11250-024-03995-z.pdf
Reference31 articles.
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3. Billah, M., Wang, X. H., Yu, J. T. & Jiang, Y. (2022). Real-time goat face recognition using convolutional neural network. Computers and Electronics in Agriculture, 194. https://doi.org/10.1016/j.compag.2022.106730
4. Borso., F. d., Kic., P. & Kante., J. (2022). Analysis of Management, Labor and Economics of Milking Systems in Intensive Goat Farms. Agriculture-Basel, 12. https://doi.org/10.3390/agriculture12040513
5. Chung, T. H., Jung, W. S., Nam, E. H., Kim, J. H., Park, S. H. & Hwang, C. Y. (2010). Comparison of Rectal and Infrared Thermometry for Obtaining Body Temperature of Gnotobiotic Piglets in Conventional Portable Germ Free Facility. Asian-Australasian Journal of Animal Sciences, 23, 1364-1368. https://doi.org/10.5713/ajas.2010.90507
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1. Profiling the dynamic variations in body and scrotal surface temperatures of goats reared under stressful conditions using infrared thermography: Analytical perspectives;Journal of Thermal Biology;2024-08
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