• 수산경영론집
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• 제52권3호
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• pp.39-55
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• 2021

The purpose of this paper is to confirm the trend of inland water fish farming in North Korea and to suggest a plan for inter-Korean cooperation. North Korea's inland water fish farming laid the foundation for production in the 1950s and 1960s, and production facilities were expanded until 1980. In the midst of the severe economic crisis in the 1990s, North Korea paid attention to inland water fish farming as an alternative to food production. The military took the lead in expanding the aquaculture industry and catfish farming was encouraged. In the Kim Jong-un era, North Korea's inland fish farming continues the tradition of catfish farming and promotes a policy of expanding inland cage farming. This study comprehensively reviewed recent inter-Korean relations, North Korea's food crisis and acceptability, and UN sanctions. As a result, inland water fish farming is the most promising field for inter-Korean cooperation in the field of fisheries. In the initial stage of inter-Korean cooperation in the field of inland water fish farming, humanitarian aid projects such as feed and seed support can be promoted. In the stage of expanding inter-Korean cooperation, knowledge sharing program and materials and facilities support projects can be promoted. Development cooperation and direct private investment are possible at the full-scale stage.

• 수산해양교육연구
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• 제21권3호
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• pp.335-346
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• 2009

Offshore-aquaculture is a new idea, has emerged as an alternative method, which can minimize the damage to the natural disaster due to the environment pollution by the fish farming activities in the coast and overcome the problems of vicious cycle in fish farming management. On the other hand, as the current fish farming laws and institutions focus on the support for offshore-aquaculture, having the limit to revitalizing and supporting the fish farming business in the open sea, it is necessary to amend the laws and institutions related to fish farm. We should be establish in connection with offshore-aquaculture, after the study aims at examining the foreign laws and institutions in such countries as USA and Norway, establishing the methods for the future laws and institutions of open sea fish farm through the analysis of the issues and controversies in the process of enactment in Korea.

• Safety and Health at Work
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• 제12권1호
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• pp.28-34
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• 2021

Background: Safety management is required to ensure health and safety of personnel in Norwegian fish farming. However, few studies have addressed the status and practical relevance of this risk-reducing measure. Methods: This article provides new knowledge through interviews with 35 employees at different company levels, addressing perceptions of various safety management activities according to managers and operational personnel. Results: The interviews show that managers and operational personnel at fish farms agree that the quantity of measures aimed to improve safety has increased in recent years. However, some activities are perceived to have higher practical relevance than others. In general, measures that fit well with the practical reality are well received by the employees at the fish farms. Conclusion: Suggested improvements include involving operational personnel in the design of procedures, considering all risk dimensions that may affect occupational health and safety, and challenging the value of specific safety activities based on a detailed knowledge of the distinctive characteristics of work practice in fish farming.

• 적정기술학회지
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• 제6권2호
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• pp.88-93
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• 2020

Kaanaeli Agri Business intends to increase Vanilla production by establishing A DEMO Plot at Ngyeku Village and Conducting Seminars/workshops to Farmer's groups, mainly on Sustainable Vanilla husbandry and Fish farming practices with affordable and customized methods involving: • Proper land use demarcation at household levels • Soil fertility management • Bio-intensive agriculture practices (Organic farming) • Environmental conservation and • To address Market issues, to medium and smallholder farmers of Meru district, Arusha-Tanzania.

• 한국해양바이오학회지
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• 제2권2호
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• pp.94-101
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• 2007

The status of recently expanded exotic pangasiid catfish Pangasius hypophthalmus, Pangasiidae farming in rural Bangladesh has been studied for finding research needs, through knowing the culture methods, associated activities and problems, to make the farming sustainable. Data were collected using participatory rural appraisal (PRA) tools in nine villages in three upazilas (sub-district) of Mymensingh district. The farmers have not got any formal training and have developed their knowledge on farming the fish through practice over years and sharing of knowledge among fellow farmers. Linked industries, e.g. hatcheries, nurseries, feed mills, trading of feed and fish etc. have developed that created employment opportunities. Most of the farmers produce two crops a year. About 90% of the farmers were found to practice mono culture of pangasiid catfish at high stocking density. The feeding rates started from 10-15% of the body weight per day at fingerling stage that reduced to 4-6% with growth. The average yield was found to be 25 tonslha/year. The livelihood of the farmers has been improved through farming the fish. Women and children were rarely engaged in the activities. The identified major problems in farming the fish were water quality deterioration, high feed costs and declining consumer demand and market price.

• Ocean and Polar Research
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• 제41권1호
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• pp.35-46
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• 2019

The purpose of this study is to identify factors influencing fish production of shallow-sea aquaculture in South Korea. This study employed the two-way fixed effect and random effect models based on the panel models and also the difference between GMM and system GMM models based on the dynamic panel models using the amount of fish farming production, the number of stocked fry, the number of cultured fish, the amount of inputted feed, the farming area, the number of workers, and the sales price data from 2010 to 2017. First, the two-way fixed effect model of the panel models was selected by panel characteristics, time characteristics and Hausman tests and also the model was statistically significant. As a result of the two-way fixed effect model, the number of stocked fry, the amount of inputted feed, and the number of workers were identified as factors that increase the fish production of shallow-sea aquaculture. However, the number of cultured fish and the sales price were analyzed as factors that reduce the fish production of shallow-sea aquaculture. Second, the system GMM model of the dynamic panel models was selected by Hansen test and Arellano-Bond test in order to identify whether or not the over-discrimination condition is appropriate. Based on the system GMM model, the number of stocked fry, the amount of inputted feed, the number of workers in this year and 1 year ago, the number of cultured fish 2 years ago, and the sale price 3 years ago were analyzed as factors that increase the fish production of shallow-sea aquaculture. However, the amount of fish farming production 1, 2, 3 years ago, the farming area in this year, and the number of cultured fish in this year and 1 year ago were identified as factors that reduce the fish production of shallow-sea aquaculture. In conclusion, this study suggests that it is desirable to control the amount of stocked fry rather than to expand the farming area for fish farming in shallow-sea aquaculture, so as to keep the sale price at a certain level by maintaining the appropriate amount of fish production.

• 한국마린엔지니어링학회:학술대회논문집
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• 한국마린엔지니어링학회 2006년도 전기학술대회논문집
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• pp.273-274
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• 2006

The sea is origin of all lift, and 90% of the all living organisms are in the sea. The biosynthesis is very different. Many organisms are kept on a lower or developed to another evolutionary level than on shore. Our society is increasing demand and need for marine food and this food has to product at onshore or offshore fish farming sites. Ocean fish farms have a special operation properties such as a good quality water, net cage, sheltered locations and feeding system. The farming site is controlled and monitored for fish welfare as ammonia($NH_3$), temperature, the speed of a running fluid. Specially, the fish farm is seriously influenced by ammonia. In this paper, $NH_3$ monitoring system for ocean fish farm is researched for the suitable fish farming sites, and test equipment is designed for achieving practical data. The equipment wit monitoring algorithm is expected to the useful system for ocean fish farm.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권8호
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• pp.2431-2449
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• 2024

As problems such as water pollution and fish species depletion have become serious, a land-based fish farming is receiving a great attention for ensuring stable productivity. In the fish farming, it is important to determine the timing of shipments, as one of key factors to increase net profit on the aquaculture. In this paper, we propose a system for predicting net profit to support decision of timing of shipment using fish farming-related statistical data. The prediction system consists of growth and farm-gate price prediction models, a cost statistics table, and a net profit estimation algorithm. The Gaussian process regression (GPR) model is exploited for weight prediction based on the analysis that represents the characteristics of the weight data of cultured fish under the assumption of Gaussian probability processes. Moreover, the long short-term memory (LSTM) model is applied considering the simple time series characteristics of the farm-gate price data. In the case of GPR model, it allows to cope with data missing problem of the weight data collected from the fish farm in the time and temperature domains. To solve the problem that the data acquired from the fish farm is aperiodic and small in amount, we generate the corresponding data by adopting a data augmentation method based on the Gaussian model. Finally, the estimation method for net profit is proposed by concatenating weight, price, and cost predictions. The performance of the proposed system is analyzed by applying the system to the Korean flounder data.

• 수산해양기술연구
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• 제28권4호
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• pp.347-359
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• 1992

The movements of three striped jack (Caranx delicatissimus, 24cm of body length) were tracked by ultrasonic telemetry in the Nunoura Bay in August 1990. A school of the striped jack has been released near by the fish farming rafts by Goto branch of the Fisheries Agency and Japan Sea-Farming Association. To investigate the staying area and the swimming pattern of the fish, small size pinger($\Phi$8.5$\times$L35mm, 140dB re 1$\mu$Pa at 1m, 69kHz) was tagged on the dorsal fin without any anesthesia. The movements of three tagged fish are monitored at the same time with four omni-directional hydrophones. The locations of the fish are calculated by the hyperbolic method and tracked by a technique so called time division scheme which uses both the pulse interval and the phase. Three pingers used have the pulse interval of 1.7, 1.8 and 1.9sec, respectively, and the common pulse duration of 15ms. In results it was capable to estimate behavior right after the release, swimming speeds and approximate moving area of the fish. The movements were tracked for a week continuously, and it was found out that the staying area of the fish was around or under the farming rafts. Sometimes they swam together but most of the time they move separately. The average swimming speed of those fish was about two times of the body length.

• International journal of advanced smart convergence
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• 제12권4호
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• pp.208-216
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• 2023

The purpose of our study is to design datasets for Artificial Intelligence learning for cold sea fish farming. Salmon is considered one of the most popular fish species among men and women of all ages, but most supplies depend on imports. Recently, salmon farming, which is rapidly emerging as a specialized industry in Gangwon-do, has attracted attention. Therefore, in order to successfully develop salmon farming, the need to systematically build data related to salmon and salmon farming and use it to develop aquaculture techniques is raised. Meanwhile, the catch of pollack continues to decrease. Efforts should be made to improve the major factors affecting pollack survival based on data, as well as increasing the discharge volume for resource recovery. To this end, it is necessary to systematically collect and analyze data related to pollack catch and ecology to prepare a sustainable resource management strategy. Image data was obtained using CCTV and underwater cameras to establish an intelligent aquaculture strategy for salmon and pollock, which are considered representative fish species in Gangwon-do. Using these data, we built learning data suitable for AI analysis and prediction. Such data construction can be used to develop models for predicting the growth of salmon and pollack, and to develop algorithms for AI services that can predict water temperature, one of the key variables that determine the survival rate of pollack. This in turn will enable intelligent aquaculture and resource management taking into account the ecological characteristics of fish species. These studies look forward to achievements on an important level for sustainable fisheries and fisheries resource management.