• The Journal of Fisheries Business Administration
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• v.49 no.4
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• pp.19-36
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• 2018

Overstock in aquaculture is a matter of concern in aquaculture management. To sort fish based on fingerling size in case of overstocking is an important problem in aquaculture farm. This study aims to determine the amount of fry overstock and sorting time in aquaculture farm. This study builds a mathematical model that finds the value of decision variables to optimize objective function summing up the fingerling purchasing cost, aquaculture farm operating cost and feeding cost under mortality and farming period constraints. The proposed mathematical model involves following biological and economical variables and coefficients: (1) number of fingerlings, (2) sorting time, (3) fish growth rate and variation, (4) mortality, (5) price of a fry (6) feeding cost, and (7) possible sorting periods. Numerical simulation is presented herein. The objective of numerical simulation is to provide decision makers to analyse and comprehend the proposed model. When extensive biological data about growth function of fry becomes available, the proposed model can be widely applicable to real aquaculture farms.

• Smart Media Journal
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• v.11 no.2
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• pp.39-52
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• 2022

In the context of the evolution of automation and intelligence, deep learning and machine learning algorithms have been widely applied in aquaculture in recent years, providing new opportunities for the digital realization of aquaculture. Especially, water quality management deserves attention thanks to its importance to food organisms. In this study, we proposed an end-to-end deep learning-based TabNet model for water quality prediction. From major indexes of water quality assessment, we applied novel deep learning techniques and machine learning algorithms in innovative fish aquaculture to predict the number of water cells counting. Furthermore, the application of deep learning in aquaculture is outlined, and the obtained results are analyzed. The experiment on in-house data showed an optimistic impact on the application of artificial intelligence in aquaculture, helping to reduce costs and time and increase efficiency in the farming process.

• Proceedings of the Korean Aquaculture Society Conference
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• 2006.05a
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• pp.330-331
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• 2006

• Asian-Australasian Journal of Animal Sciences
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• v.14 no.6
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• pp.894-898
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• 2001

Genetics has played a pivotal role in increasing the world food production through revolutions in plant and animal sciences. Though the attention on fisheries has been inadequate but the growing importance of modern genetic manipulations and biotechnological innovations to aquaculture has been realized. Recent advances in fish genetics and molecular biology have provided a suite of useful techniques, which have several applications in aquaculture. This paper reviews the advancement in the applications of selection, hybridization, chromosome engineering, sex control, gene transfer and molecular technologies for enhanced aquaculture productivity.

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2003.05a
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• pp.223-224
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• 2003

Information on the fate of the added nutrients is essential for the assessment of the food utilization, pond fertility, water quality and processes in the sediment (Boyd, 1985). Also, they are useful for qualifying environmental impacts of aquaculture and for environmental management. The purpose of this experiment was to assess the fate of nitrogen and organic matter entering aquaculture ponds and the relative importance of the different resources. (omitted)

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2000.05a
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• pp.261-262
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• 2000

Juvenile black rockfish, Sebastes schlegeli is an important commercial species along the coast of Republic of Korea. The black rockfish possesse some desirable characteristics for aquaculture including tolerance to cold water and handling, and receptivity to induced spawning in captivity. (omitted)

• Proceedings of the Korean Environmental Sciences Society Conference
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• 2008.11a
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• pp.286-289
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• 2008

• Proceedings of the Korean Aquaculture Society Conference
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• 2005.05a
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• pp.190-190
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• 2005

• Proceedings of the Korean Aquaculture Society Conference
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• 2002.08a
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• pp.232-234
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• 2002

• Korean Journal of Organic Agriculture
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• v.19 no.spc
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• pp.43-46
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• 2011