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First Evaluation of Infrared Thermography as a Tool for the Monitoring of Udder Health Status in Farms of Dairy Cows

机译:红外热成像技术作为奶牛场乳房健康状况监测工具的首次评估

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摘要

The aim of the present study was to test infrared thermography (IRT), under field conditions, as a possible tool for the evaluation of cow udder health status. Thermographic images (n. 310) from different farms (n. 3) were collected and evaluated using a dedicated software application to calculate automatically and in a standardized way, thermographic indices of each udder. Results obtained have confirmed a significant relationship between udder surface skin temperature (USST) and classes of somatic cell count in collected milk samples. Sensitivity and specificity in the classification of udder health were: 78.6% and 77.9%, respectively, considering a level of somatic cell count (SCC) of 200,000 cells/mL as a threshold to classify a subclinical mastitis or 71.4% and 71.6%, respectively when a threshold of 400,000 cells/mL was adopted. Even though the sensitivity and specificity were lower than in other published papers dealing with non-automated analysis of IRT images, they were considered acceptable as a first field application of this new and developing technology. Future research will permit further improvements in the use of IRT, at farm level. Such improvements could be attained through further image processing and enhancement, and the application of indicators developed and tested in the present study with the purpose of developing a monitoring system for the automatic and early detection of mastitis in individual animals on commercial farms.
机译:本研究的目的是在野外条件下测试红外热像仪(IRT),作为评估母牛乳房健康状况的可能工具。收集并评估了来自不同农场(3个)的热像图(310个),并使用专用软件应用程序对其进行评估,以自动并以标准化方式计算每个乳房的热像指数。获得的结果已证实乳房表面皮肤温度(USST)与收集的牛奶样品中体细胞计数类别之间存在显着关系。以200,000细胞/ mL的体细胞计数(SCC)水平作为亚临床乳腺炎分类的阈值,乳房健康分类的敏感性和特异性分别为:78.6%和77.9%。当采用400,000细胞/ mL的阈值时。尽管其敏感性和特异性低于处理IRT图像非自动化分析的其他已发表论文,但它们被认为是这项新兴技术的首次现场应用。未来的研究将允许在农场级别进一步改进IRT的使用。可以通过进一步的图像处理和增强,以及在本研究中开发和测试的指标的应用来实现这种改进,目的是开发一种监视系统,用于对商业农场中的个体动物中的乳腺炎进行自动和早期检测。

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