Outlier detection in dairy cows estrus based on density clustering

摘要

In the dairy farming, it's necessary to identify estrus of dairy cattle accurately in order to increase the milk production milk, prolong lactation and improve economic efficiency. In the modern large-scale farming, the artificial observation method can't meet the needs of the ranch because of the limiting conditions such as its large workload and the serious subjective factors. Therefore, this article uses the method of density clustering to analyze the outliers and judge whether the cow ruts based on the data collected from the dairy cradle and combined with the behavioral characteristics of dairy cow in different situation.