The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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Data Analysis and Mining for Fish Growth Data in Fish-Farms

양식장 어류 생육 데이터 분석 및 마이닝

  • 예성빈 (전남대학교 디지털컨버전스협동과정 ) ;
  • 박정선 (전남대학교 문화콘텐츠학부) ;
  • 한순희 (전남대학교 문화콘텐츠학부) ;
  • 정희택 (전남대학교 문화콘텐츠학부)
  • Received : 2022.11.08
  • Accepted : 2023.02.17
  • Published : 2023.02.28
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Abstract

The management of size and weight, which are the growth information of aquaculture fish in fish-farms, is the most basic goal. In this study, the epoch is defined in fish-farms from the time of stocking or dividing to the time of shipment, and the growth data for a total of three epoch is analyzed from a time series perspective. Growth information such as the size and weight of aquaculture fish that occur over time in fish-farms is compared and analyzed with water quality environmental information and feeding information, and a model is presented using the analysis results. In this study, linear, exponential, and logarithmic regression models are presented using the Box-Jenkins method for size and weight by epoch using data obtained in the field.

양식장에서 양식어의 생육 정보인 크기 및 무게의 관리는 가장 기본적인 목표이다. 본 연구에서는 육상 양식장에서 입식 또는 분조 시점부터 출하 시점까지를 epoch로 정의하고, 총 3 epoch에 대하여 생육데이터를 시계열 관점에서 분석하고자 한다. 양식장에서 시간 흐름에 따라 발생하는 양식어의 크기 및 무게 등의 생육 정보를 수질 환경 정보, 급이 정보와 비교 분석하고, 분석 결과를 이용하여 모델을 제시한다. 본 연구에서는 현장에서 획득된 데이터를 이용하여 크기 및 무게에 대하여 Box-Jenkins 방법을 이용하여 선형, 지수, 로그 회귀분석 모델을 제시한다.

Keywords

Acknowledgement

본 논문은 2023년 해양수산부 재원으로 해양수산과학기술진흥원의 지원을 받아 수행된 연구임 (스마트수산양식연구센터)

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