Algorithm for detecting the latent mastitis state of animals in a dairy farms on the based of data fusion from different types sensors

Abstract

The problem of latent mastitis identification in livestock enterprises is analyzed. The necessity of automatizing the mastitis identification process is shown. Biological methods for determining the presence of the disease are considered in the article. Common methods of data fusion for the extraction of an informative trait is analyzed in the work. A new algorithm for identifying mastitis in animals based on data fusion from the livestock enterprise sensors is proposed. The developed algorithm as compared to the conventional method of determining mastitis increases the accuracy of the disease's identification by 6.5 percent.