한국정보시스템학회지:정보시스템연구 (The Journal of Information Systems)

  • 제32권4호
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  • Pages.137-147
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  • 2023
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  • 1229-8476(pISSN)
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  • 2733-8770(eISSN)
한국정보시스템학회 (Korea Association of Information Systems)
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적외선 카메라를 활용한 급이 유무에 따른 어류 활동성 분석

Analysis of Fish Activity in Relation to Feeding Events Using Infrared Cameras

  • 노태경 (동의대학교 부산IT융합부품연구소) ;
  • 하상현 (동의대학교 인공지능 그랜드 ICT 연구센터) ;
  • 김기환 (동의대학교 인공지능 그랜드 ICT 연구센터) ;
  • 강영진 (동의대학교 인공지능 그랜드 ICT 연구센터) ;
  • 정석찬 (동의대학교 e비즈니스학과, 인공지능그랜드ICT연구센터, 부산IT융합부품연구소)
  • 투고 : 2023.11.21
  • 심사 : 2023.12.08
  • 발행 : 2023.12.31
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초록

Purpose The domestic aquaculture industry in South Korea utilizes both formulated feeds and live feeds for the cultivation of fish. While nutrient-rich live feeds, particularly using fry, have been preferred since the past, formulated feeds are gaining attention due to issues related to overfishing and environmental concerns. Formulated feeds are advantageous for storage and supply but require a sustained feeding regimen due to the comparatively slower growth rate compared to live feeds. As the aging population in rural areas leads to a shortage of labor, automated feeding systems are increasingly being adopted in aquaculture facilities. To enhance the efficiency of such systems, it is crucial to quantitatively analyze the behavioral changes in fish based on the presence or absence of feed. Design/methodology/approach In the study, RGB cameras and infrared cameras were used to analyze fish activity according to feeding, and an outline extraction algorithm was applied to analyze the differences resulting from this. Findings Unlike RGB cameras, infrared cameras are more suitable for analyzing underwater fish activity as they convert objects' thermal energy into images. It was observed that Canny, Sobel, and Prewitt filters showed the most distinct identification of fish activity.

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과제정보

이 논문은 2023학년도 동의대학교 교내연구비에 의해 연구되었음(202301170001).

참고문헌

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