• 수산경영론집
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• 제46권2호
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• pp.43-57
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• 2015

The study aims to identify the current status of aquaculture information in Korea and suggests policy directions for its integrated management. Firstly, the study focuses on the identification of the current status of aquaculture information by reviewing how aquaculture information is managed. Secondly, this study identifies problems such as lacks in necessary aquaculture information, inefficiency caused by dispersion and overlapping of information, absence of integrated management system and insufficient sharing of information. After identifying the current status of aquaculture information and its problems, the study suggests three basic directions to systematically integrate and manage the information such as establishment of infrastructure for promoting the integrated management of aquaculture information, generation and systematic management of useful aquaculture information and enhancement of user convenience. Finally, the study suggests detailed strategies such as establishment of a foundation to facilitate integrated management of aquaculture information, organization of organic network, sharing of more information, creation of necessary information through demand survey, creation of systematic management system, provision of a customized total service, and increase in education and PR activities on information use.

• 한국GIS학회:학술대회논문집
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• 한국GIS학회 2004년도 GIS/RS 공동 춘계학술대회 논문집
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• pp.493-498
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• 2004

The objective of the present study is to compare various conventional and recently evolved satellite image-processing techniques and to ascertain the best possible technique that can identify and position of aquaculture farms accurately in and around the Younggwang coastal area. Several conventional techniques performed to extract such information fiom the Landsat-TM imagery do not seem to yield better information about the aquaculture farms, and lead to misclassification. The large errors between the actual and extracted aquaculture farm information are due to existence of spectral confusion and inadequate spatial resolution of the sensor. This leads to possible occurrence of mixture pixels or 'mixels' of the source of errors in the classification techniques. Understanding the confusing and mixture pixel problems requires the development of efficient methods that can enable more reliable extraction of aquaculture farm information. Thus, the more recently evolved methods such as the step-by-step partial spectral end-member extraction and linear spectral unmixing methods are introduced. The farmer one assumes that an end-member, which is often referred to as 'spectrally pure signature' of a target feature, does not appear to be a spectrally pure form, but always mix with the other features at certain proportions. The assumption of the linear spectral unmxing is that the measured reflectance of a pixel is the linear sum of the reflectance of the mixture components that make up that pixel. The classification accuracy of the step-by-step partial end-member extraction improved significantly compared to that obtained from the traditional supervised classifiers. However, this method did not distinguish the aquaculture ponds and non-aquaculture ponds within the region of the aquaculture farming areas. In contrast, the linear spectral unmixing model produced a set of fraction images for the aquaculture, water and soil. Of these, the aquaculture fraction yields good estimates about the proportion of the aquaculture farm in each pixel. The acquired proportion was compared with the values of NDVI and both are positively correlated (R$^2$ =0.91), indicating the reliability of the sub-pixel classification.ixel classification.

• 인터넷정보학회논문지
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• 제24권4호
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• pp.93-105
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• 2023

디지털양식은 경험과 노동력, 자연환경 의존적인 전통 양식산업이 미래 지능형 스마트양식으로 전환하기 위한 ICT 기자재 기반의 양식산업의 디지털화와 디지털 양식데이터의 분석 및 활용을 통한 양식 재현성 향상 및 생산과정의 효율성 향상을 통한 어가의 수용성을 높이기 위해 추진되고 있다. 유럽의 선진 수산국은 양식장에 정보통신기술을 접목한 디지털화를 통한 규모화와 첨단화로 양식 기술 뿐만 아니라 양식기자재산업의 비약적인 성장을 이루고 있는 반면, 국내에는 다품종·소량생산 구조 및 어가수용성 미확보에 따른 양식생산정보의 수집조차 한계에 부딪치고 있다. 이에 본 연구에서는 스마트양식 관련 동향과 기술 요소를 분석하여 향후 지능형 스마트양식으로 전환하기 위한 한국형 디지털양식의 발전 방향을 제시하고자 한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권11호
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• pp.3083-3098
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• 2023

As demands for efficient and echo-friendly production of marine products increase, smart aquaculture based on information and communication technology (ICT) has become a promising trend. The smart aquaculture is expected to control fundamental farm environment variables including water temperature and dissolved oxygen (DO) levels with less human intervention. A recirculating aquaculture system (RAS) is required for the smart aquaculture which utilizes a purification tank to reuse water drained from the water tank while blocking the external environment. Elaborate water treatment should be considered to properly operate RAS. However, analyzing the water treatment performance is a challenging issue because fish farm circumstance continuously changes and recursively affects water fluidity. To handle this issue, we introduce computational fluid dynamics (CFD) aided water treatment analysis including water fluidity and the solid particles removal efficiency. We adopt RAS parameters widely used in the real aquaculture field to better reflect the real situation. The simulation results provide several indicators for users to check performance metrics when planning to select appropriate RAS without actually using it which costs a lot to operate.

• 한국수산과학회지
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• 제56권6호
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• pp.759-765
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• 2023

Owing to the increase in the elderly population at aquaculture farm and decrease in the number of aquaculture farmers, the need to improve aquaculture production system is increasing. In addition, asvirtual interactions become new normal after COVID-19 pandemic, the speed at which science and technology such as the internet of things (IoT), information and communications technology (ICT), and artificial intelligence (AI) are applied to each field is accelerating. Efforts are being made to enhance the quality of life of aquaculture farmer and competitiveness of the aquaculture industry by incorporating digital technology. This study analyzed national and global aquaculture technology development and policy trends, smart aquaculture terminology application scenarios, and prior research cases to propose smart aquaculture industrialization models and technology development directions considering technology, economy, and environment. This study can also provide valuable reference for promoting smart and efficient development of aquaculture.

• 환경영향평가
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• 제14권3호
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• pp.127-134
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• 2005

Recently, aquaculture farm sites have been increased with demand of the expensive fish species and sea food like as seaweed, laver and oyster. Therefore coastal water quality have been deteriorated by organic contamination from marine aquaculture farm sites. For protecting of coastal environment, we need to control the location of aquaculture sites. The purpose of this study is to detect the laver aquaculture sites using multispectral remotely sensed data with autodetection algorithm. In order to detect the aquaculture sites, density slice and contour and vegetation index methods were applied with SPOT and IKONOS data of Shinan area. The marine aquaculture farm sites were extracted by density slice and contour methods with one band digital number(DN) carrying 65% accuracy. However, vegetation index algorithm carried out 75% accuracy using near-infra red and red bands. Extraction of the laver aquaculture site using remotely sensed data will provide the efficient digital map for coastal water management strategies and red tide GIS management system.

• 한국지리정보학회지
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• 제19권4호
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• pp.63-75
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• 2016

우리나라에서는 삼면이 바다와 접해있는 반도형태의 국가로 과거부터 해양수산물에 대한 양식이 이루어져 왔다. 최근에는 양식시설물들을 체계적으로 관리하기 위해 생산량에 대한 조사하고 있으며, 조사된 자료를 기반으로 생산물에 대한 가격책정을 수행하여 내수 어족자원을 안정화하고 어민생활권을 보장하고 있다. 이러한 양식시설물의 조사는 매년 항공사진 기반의 수동 디지타이징을 기반으로 하고 있다. 고해상도의 항공사진을 활용한 수동 디지타이징은 양식시설물 별 종류에 따른 특징과 시설물 운용 여부 등을 알고 있는 전문가의 지식을 기반으로 하여 정확한 구획이 수행된다. 그러나 항공사진의 활용은 생육주기가 다른 양식자원들을 모니터링하기에는 경제적, 시간적 한계가 있으며, 전문가의 지식기반 구획 역시 다수의 전문 인력 등이 투입되어야 한다. 그러므로 본 연구에서는 관측 대상지에 대한 대단위 모니터링이 가능한 위성영상을 바탕으로 양식장에 대한 외곽정보 자동으로 검출하는 프로토타입 시스템 개발에 대해 연구하였다. 연구에 사용되는 위성영상은 국내 고해상 위성인 KOMPSAT-3 위성영상 13 Scene을 양식시설이 주로 이용되는 10월에서 4월 사이에 신규 촬영하여 사용하였다. 양식시설의 검출은 가두리식, 연승식, 부류식 양식시설을 검출하였으며 검출 방법은 영상 처리를 통한 ANN 분류기법 및 Polygon 생성기법을 사용하였다. 개발된 프로토타입 시스템의 양식시설 검출율은 약 93% 정도로 나타났다. 위성영상 기반의 양식시설물 외곽정보 검출은 기존 항공사진이 가지는 모니터링의 한계를 개선할 수 있을 뿐만 아니라, 전문가가 양식시설을 탐지하고 판독하는 데 있어 유용하게 지원될 수 있을 것이다. 향후 양식장 시설물별 분류 및 영상 처리 기법의 적용을 통해 양식장 시설물 검출 시스템이 개발되어야 할 것이며, 해당 시스템을 통해 양식시설물 모니터링을 수행하여 관련 의사결정 지원에 도움이 될 수 있을 것으로 판단된다.

• 한국어업기술학회:학술대회논문집
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• 한국어업기술학회 2003년도 춘계 수산관련학회 공동학술대회발표요지집
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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)

• 수산해양교육연구
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• 제20권1호
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• pp.23-35
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• 2008

The purposes of this study are to analyze problems in industrial classification of fisheries in Korea and to suggest future directions. Based on a thorough review of relevant literature, the study proposes a five-level scheme for classifying fisheries. The highest level should be the fisheries industry, and the next highest level ought to be fisheries. The medium level should include fishing, aquaculture, and fishery service industries. At the fourth level, fishing is to be further divided into sea fishery and inland fishery, aquaculture into sea-surface aquaculture and inland aquaculture, and fishery service industries into integrated fishery service and fishery distribution service. The lowest level is the most detailed. At this level, sea fishery is split into deep sea fishery, offshore fishery, and coastal fishery; sea-surface aquaculture consists of sea aquaculture, seed production aquaculture, and food organism aquaculture; integrated fishery service is further classified into fishery-related service and fishery information service.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2018년도 추계학술발표대회
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• pp.350-352
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• 2018

In this paper, we propose a smart indoor garden aquaculture system using PIC. In the proposed smart indoor garden aquaculture system, the aquaphonics system circulates the nutrient solution of the aquarium, the filtrate tank, and the flowerpot. The automated control system that controls the state of the nutrient solution through the various sensors and controls the pump and valve is designed. As a result of the verification of the smart indoor garden aquaculture system proposed in this paper, it was confirmed that the environment suitable for the survival of fish and plants was maintained by monitoring water temperature, DO, pH measured in real time. The water level in aquarium and flower pot was controlled through automatic operation of the Electric vale and pump.