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Daily Behavior Pattern Extraction using Time-Series Behavioral Data of Dairy Cows and k-Means Clustering

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2021, 17(1), pp.83-92
  • DOI : 10.29056/jsav.2021.06.11
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : June 4, 2021
  • Accepted : June 20, 2021
  • Published : June 30, 2021

SeongHun-Lee 1 Park GiCheol 1 Park Jaehwa ORD ID 1

1중앙대학교

Accredited

ABSTRACT

There are continuous and tremendous attempts to apply various sensor systems and ICTs into the dairy science for data accumulation and improvement of dairy productivity. However, these only concerns the fields which directly affect to the dairy productivity such as the number of individuals and the milk production amount, while researches on the physiology aspects of dairy cows are not enough which are fundamentally involved in the dairy productivity. This paper proposes the basic approach for extraction of daily behavior pattern from hourly behavioral data of dairy cows to identify the health status and stress. Total four clusters were grouped by k-means clustering and the reasonability was proved by visualization of the data in each groups and the representatives of each groups. We hope that provided results should lead to the further researches on catching abnormalities and disease signs of dairy cows

Citation status

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