• Korean Journal of Microbiology
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• v.38 no.4
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• pp.281-286
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• 2002

Detection of Vibrio vulnificus in fish farm and searching for the bactericidal methods on this bacteria were studied. To detect this microorganism in sea water, mud, fish and mussels, selective isolation methods and detection of vvhA gene were used from January to October,2000. V. vulnificus was detected from May when the water temperature was over $17^{\circ}C$. From June to September, higher than $19^{\circ}C$, this bacteria could be isolated from most of the samples. Freezing and refrigerating did not inhibit the growth of V. vulnificus. Citric acid did not show the bactericidal effect, but more than 500 mg/l of EDTA did. With the aid of UV and photocatalyst, $TiO_{2}$ showed bactericidal effect after 15 minute treatment. Photocatalytic system consisted of glass bead coated with $TiO_{2}$ and UV illumination showed bactericidal effect on V. vulnificus at the turnover rate of 0.2/min.

• Journal of fish pathology
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• v.12 no.1
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• pp.66-69
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• 1999

Occurrences of red sea bream iridovirus disease (RSIVD) in cultured marine fishes were investigated. The infection was detected by the polymerase chain reaction (PCR) used to amplify the red sea bream iridovirus (RSIV). The RSIV infection was widely distributed in fish culture farm around the south coastal area of the Korean peninsula.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.4
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• pp.763-770
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• 2024

Currently, land-based fish farms utilizing seawater have introduced and are utilizing various equipment such as real-time water quality monitoring systems, facility automation systems, and automated dissolved oxygen supply devices. Furthermore, data collected from various equipment in these fish farms produce structured and unstructured big data related to water quality environment, facility operations, and workplace visual information. The big data generated in the operational environment of fish farms aims to improve operational and production efficiency through the development and application of various methods. This study aims to develop a system for effectively analyzing and visualizing big data produced from land-based fish farms. It proposes a data visualization process suitable for use in a fish farm big data analysis system, develops big data visualization tools, and compares the results. Additionally, it presents intuitive visualization models for exploring and comparing big data with time-series characteristics.

• Journal of Fisheries and Marine Sciences Education
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• v.7 no.1
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• pp.31-43
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• 1995

For the fuel saving in the fish farm, the heat transfer performances of various tubes, XL-tube, copper-tube, copper-Nikel-tube and Al-brass-tube, were compared. The XL-tube, which is most commonly used for heating water, showed the poorest heater transfer performance, while the Al-Brass tube shows the best performance. As far as average temperature difference of four tubes concerns, XL-tube is $3.34^{\circ}C$, Copper tube is $10.34^{\circ}C$, Copper-Nikel tube is $11.3^{\circ}C$, Al-Brass-tube is $12^{\circ}C$, The best heat transfer performance of Al-Brass tube results from the enhancement of heat transfer coefficient caused by fin effect and good conductivity of the material.

• Journal of fish pathology
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• v.4 no.2
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• pp.95-100
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• 1991

Saprolegnia diclina, which was the pathogen causing death in snake fishes(Channa argus) at culture farm, was investigated using scanning electron microscope. It was found that Saprolegnia diclina infection caused snake fishes to fail gas change in the gills. Cell lysis as well as edematous disease and hyperplasia as a result of Saprolegnea diclina attachment on the surface of gills were observed. The granules, the mean diameters of which ranged from 6 to $7\;{\mu}m$, attaching on the surface of gills were found to be secondary zoospores of Saprolegnia diclina. The failures of gas exchange in the gill cells and circulation as a result of the osmotic dilution of the blood were supposed to be the main cause of death.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.50 no.3
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• pp.250-256
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• 2017

This study investigated the removal efficiency of organic matter and nitrogen from fish farm effluent by hydraulic retention time (HRT) using an upflow biological filter (ANR system) reactor. The recycling time and influent flow in the reactor were controlled to 14.8, 7.4, 5.5 and 3.2 h to evaluate HRT. In addition, each reactor was coupled to a fixed bed upflow filter charged with media. The results showed that removal efficiency was ${\geq}95%%$ with an HRT of 5.5 h, and nitrification efficiency was reduced to 81% with an HRT of 3.2 h, although nitrification efficiency temporarily decreased due to the shock load as HRT decreased. Total nitrogen removal rate was also reduced to about 65% with an HRT of 3.2 h, which was considered a washout effect of nitrifying and denitrifying microorganisms by increasing the shearing force to the filter media, which decreased organic matter and nitrogen removal efficiency.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.28 no.3
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• pp.309-315
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• 1995

This paper describes a monitoring system for fish farm formation effect based on personal computer by using an image processing technique. This method is based on image processing technique incorporating concept of window and threshold processing to track the target object and to distinguish it from background. The image processing program runs in the veal time so that all program modules are able to process multi-task. The effectiveness is evaluated through the comparative study on the motion of lantern net for the scallop culturing by wave action in an experimental wave tank.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.43 no.3
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• pp.262-269
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• 2010

Seventeen fish species were counted in an underwater visual census, and the most common species, Sebastes inermis and Halichoeres poecilopterus, were released. More than 60% of the released S.inermis occurred near a fish farm 5 days after release, but they moved to a distant rocky area, and decreasing numbers were seen near the farm 90 days after release. In pots, a total of 722 individuals belonging to 43 species occurred, and released S.inermis dominated with 174 individuals recaptured during the study period. The other common fish species were Stephanolepis cirrhifer and Acanthopagrus schlegeli. The percentage of recapture was 0.23%, but declined to 0.12% at 90 days after release. The potential predators of released S.inermis included Lateolabrax japonicus and Sebastes schlegeli.

• Journal of fish pathology
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• v.23 no.2
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• pp.165-176
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• 2010

In May 2007, mass mortality of Israeli carp, Cyprinus carpio L., was occured on a pond farm located in Jeollabukdo Province, Korea. The mortality rates reached up to 2% of the total fish in the farm per day. Typical clinical signs were abdominal distension, reddish foci on the skin, enteritis, liver congestion and enlarged spleen and kidney. On the basis of biochemical characteristics and 16S rDNA sequence, the causative bacteria isolated from affected carp were identified as Aeromonas veronii. Histologically, degeneration of hepatocytes and congestion in sinusoids were observed in the liver. Spleen showed hemorrhage and the destruction of the sheathed tissues. In kidney, necrotized renal tubules and glomerular destructions were observed. Intestinal tissues revealed necrotized and severe hemorrhage. Mass hemorrhage was observed in muscles. This is the first report that A. veronii caused mortality in cultured Israeli carp in Korea.

• IEMEK Journal of Embedded Systems and Applications
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• v.18 no.1
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• pp.19-24
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• 2023

In traditional fish farming way, the workers have to observe all of the pools every time and every day to feed at the right timing. This method causes tremendous stress on workers and wastes time. To solve this problem, we implemented an automatic detection system for feeding time using deep neural network. The detection system consists of two steps: classification of the presence or absence of feed and checking DO (Dissolved Oxygen) of the pool. For the classification, the pretrained ResNet18 model and transfer learning with custom dataset are used. DO is obtained from the DO sensor in the pool through HTTP in real time. For better accuracy, the next step, checking DO proceeds when the result of the classification is absence of feed several times in a row. DO is checked if it is higher than a DO reference value that is set by the workers. These actions are performed automatically in the UI programs developed with LabVIEW.