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A clinical mastitis could increase the animal’ basal temperature and change the blood circulation at tissue level, causing an increase of the udder surface skin temperature (USST) that can be detected by infrared camera. In this study a first field test was carried out acquiring thermografic images from different dairy farms. Furthermore, a dedicated software algorithm was developed and tested to evaluate thermografic images acquired and to calculate specific infrared parameters. The results have shown that the parameter USST could be related to the healthy states of cow udder and to the imaging elaboration. Futhermore, the thermografic parameters tested in this first field investigation showed to be a possible useful tool in the development of an effectiveness monitoring systems based on the use of infrared technology.

Development of a software algorithm working with infrared images and useful for the early detection of mastitis in dairy cows