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Design and implementation of olive flounder Paralichthys olivaceus disease diagnosis program  

Han, Chang-Min (Eco Aquafarm Research Center, Chonnam National University)
Jung, Sung-Ju (Eco Aquafarm Research Center, Chonnam National University)
Oh, Myung-Joo (Eco Aquafarm Research Center, Chonnam National University)
Han, Soon-Hee (Eco Aquafarm Research Center, Chonnam National University)
Park, Jeong-Seon (Eco Aquafarm Research Center, Chonnam National University)
Publication Information
Journal of fish pathology / v.23, no.3, 2010 , pp. 379-388 More about this Journal
Abstract
This paper presents a computer program for 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.
Keywords
Olive flounder Paralichthys olivaceus; Disease diagnosis; Program;
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1 박성우, 오명주: 수산생명질병학, 바이오사인언스, 서울, 2008.
2 Duan, Y., Fu, Z. and Li, D.: Toward Developing and Using Web-based Tele-Diagnosis in Aquaculture. Expert System with Applications, 25(2):247-254, 2003.   DOI   ScienceOn
3 Park, J.-S., Oh, M.-J. and Han, 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. FBIT 2007, pp. 878-883, Jeju City, Korea, Oct. 2007.
4 Ross, N.E., Pritchard, C.J., Rubin, D.M. and Duse, A.G.: Automated Image Processing Method for the Diagnosis and Classification of Malaria on Thin Blood Smears. Medical and Biological Engineering and Computing, 44(5):427-436, 2006.   DOI   ScienceOn
5 Wen, J., Li, D., Zhu, W. and Fu, Z.: 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, 217:455-464, 2006.   DOI
6 Xing, B., Li, D., Wang, J., Duan, Q. and Wen, J.: An Early warning System for Flounder Disease. Computer and Computing Technologies in Agriculture II, IFIP International Federation for Information Processing, 294:1011-1018, 2009.
7 Zhang X., Fu, Z. and Wang, R.: Development of the ES-FDD: an expert system for fish disease diagnosis. Proc. of Oceans '04 MTS/IEEE Techno-Ocean '04, pp. 482-487, Kobe, Japan, Nov. 2004.
8 김진우, 박명애, 김이청, 최혜승, 최동림, 윤길하, 조미영, 도정완, 김명석, 권문경, 박경현, 지보영, 이창훈, 이주석, 방종득, 심두생, 손상규, 정승희, 최희정: 수산동물질병지침서, 한글그라픽스, 부산, 2005.
9 김해란, 박정선, 오명주, 강소영, 정관식: 어류질병정보시스템 구현 및 응용, 한국전자통신학회 춘계학술발표대회논문집, pp.174-177, 여수, 2008.
10 서정현, 한순희, 강영만, 장문석: 양식장 환경 정보 모니터링을 위한 특화단말기 설계. 한국전자통신학회논문지, 2(2):145-151, 2007.
11 Lou, D., Chen, M. and Ye, J.: Study on a Fish Disease Case Reasoning System based on Image Retrieval. New Zealand Journal of Agricultural Research, 50(5):887-893, 2007.   DOI   ScienceOn
12 Li, D., Zhu, W., Duan, Y. and Fu, Z.: Toward Developing a Tele-Diagnosis System on Fish Disease. Artificial Intelligence in Theory and Practice, IFIP International Federation for Information Processing, 217:445-454, 2006.   DOI