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넙치, Paralichthys olivaceus 질병 진단 프로그램의 설계 및 구현

Design and implementation of olive flounder Paralichthys olivaceus disease diagnosis program

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초록

This paper presents a computer program for a easy and rapid disease diagnosis of olive flounder diseases. To design the program, standard diagnosis process of the 14 olive flounder diseases was first setup, then implemented four-steps diagnosis program. To run program, first input fundamental information such as water temperature, size of the diseased fish. Then sequentially, three categories of key factors for disease diagnosis which include external clinical signs, internal clinical signs and microscopic observations are selected. When a user selects the observed signs of olive flounder from the listed options, the program provides maximum 5 presumed disease candidates in order. The disease information, treatment and prevention methods are provided by connected web server through internet. The program would support fish doctors and farmers by providing easy and rapid diagnosis of diseased olive flounder.

Abstract

This paper presents a computer program for a easy and rapid disease diagnosis of olive flounder diseases. To design the program, standard diagnosis process of the 14 olive flounder diseases was first setup, then implemented four-steps diagnosis program. To run program, first input fundamental information such as water temperature, size of the diseased fish. Then sequentially, three categories of key factors for disease diagnosis which include external clinical signs, internal clinical signs and microscopic observations are selected. When a user selects the observed signs of olive flounder from the listed options, the program provides maximum 5 presumed disease candidates in order. The disease information, treatment and prevention methods are provided by connected web server through internet. The program would support fish doctors and farmers by providing easy and rapid diagnosis of diseased olive flounder.

참고문헌 (12)

  1. Duan, Y., "Toward Developing and Using Web-based Tele-Diagnosis in Aquaculture", Expert System with Applications, 25(2), pp.247~254 (2003)
  2. Li, D., "Toward Developing a Tele-Diagnosis System on Fish Disease", Artificial Intelligence in Theory and Practice, IFIP International Federation for Information Processing, 217, pp.445~454 (2006)
  3. Lou, D., "Study on a Fish Disease Case Reasoning System based on Image Retrieval", New Zealand Journal of Agricultural Research, 50(5), pp.887~893 (2007)
  4. Park, J.-S., "Fish Disease Diagnosis System Based on Image Processing of Pathogens’ Microscopic Images", Proc. of Frontiers in the Convergence of Bioscience and Information Technologies, 2007, pp.878~883 (2007)
  5. Ross, N.E., "Automated Image Processing Method for the Diagnosis and Classification of Malaria on Thin Blood Smears", Medical and Biological Engineering and Computing, 44(5), pp.427~436 (2006)
  6. Wen, J., "A New Method for Fish-Disease Diagnostic Problem Solving Based on Parsimonious Covering Theory and Fuzzy Inference Model", Artificial Intelligence in Theory and Practice, IFIP International Federation for Information Processing, 217, pp.455~464 (2006)
  7. Xing, B., "An Early warning System for Flounder Disease", Computer and Computing Technologies in Agriculture II, IFIP International Federation for Information Processing, 294, pp.1011~1018 (2009)
  8. Zhang X., "Development of the ES-FDD: an expert system for fish disease diagnosis", Proc. of Oceans ’04 MTS, 2004, 482~487
  9. 김진우, "수산동물질병지침서" (2005), 한글그라픽스
  10. 김해란, "어류질병정보시스템 구현 및 응용", 한국전자통신학회 춘계학술발표대회논문집, pp.174~177 (2008)
  11. 박성우, "수산생명질병학" (2008), 바이오사인언스
  12. 서정현, "양식장 환경 정보 모니터링을 위한 특화단말기 설계", 한국전자통신학회논문지, 2(2), pp.145~151 (2007)

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