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Outlier Detection in Dairy Cows Estrus Based on Density Clustering

文献类型: 会议论文

第一作者: Liu Jindi

作者: Liu Jindi 1 ; Zhu Huaji 2 ;

作者机构: 1.National Engineering Research Center for Information Technology in Agriculture

2.Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences

关键词: Cows;Density clustering;Analysis of outliers

会议名称: IEEE International Conference on Computer and Communications

主办单位:

页码: 2291-2294

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.

分类号: TP3-53

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