Image technology based detection of infected shrimpin adverse environments
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Creator 1. Thi Thi Zin
2. Takehiro Morimoto
3. Naraid Suanyuk
4. Toshiaki Itami
5. Chutima Tantikitti
Title Image technology based detection of infected shrimpin adverse environments
Publisher Research and Development Office, Prince of Songkla University
Publication Year 2565
Journal Title Songklanakarin Journal of Science an Technology (SJST)
Journal Vol. 44
Journal No. 1
Page no. 112-118
Keyword infected shrimp detection, image processing techniques, shrimp feeding behaviors, artificial sea water
URL Website https://rdo.psu.ac.th/sjst/index.php
ISSN 0125-3395
Abstract In recent years, countries around Japan and especially in Southeast Asia, white spot disease (WSD) is highly infectiousand severely damages shrimp aquaculture. At the same time, the various diseases are occurring in shrimp farms. In the earlystages of infection, shrimp shows three abnormal behaviors: (1) they appear in the shallow waters of the farm, (2) they do notmove and do not eat even when feeding, and (3) they suddenly stop moving. Currently, infected shrimps are found by visualinspection, which places a burden on the farmers and delays the discovery. Therefore, in this paper, we proposed a system fordetecting infected shrimp by using image processing technology in order to eliminate the delay of discovery and reduce theburden of farmers. According to our experimental results, the proposed system has 95% precision, 100% recall rate and anaccuracy of 96.4% by using hold-out evaluation method.
Songklanakarin Journal of Science and Technology (SJST)

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