• KOREAN POULTRY JOURNAL
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• v.51 no.12
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• pp.171-171
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• 2019

• Monthly Duck's Village
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• s.217
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• pp.31-33
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• 2021

• Monthly Duck's Village
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• s.246
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• pp.16-17
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• 2023

• KOREAN POULTRY JOURNAL
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• v.56 no.5
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• pp.124-128
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• 2024

• KOREAN POULTRY JOURNAL
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• v.56 no.6
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• pp.120-123
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• 2024

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.563-566
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• 2017

In order to prevent livestock diseases and produce the high quality livestock products in the livestock industry, it is necessary to manage the conditions of the livestock farms in the optimal condition. Therefore, these days the research on livestock growth models that analyze the factors of the air environment, the breeding environment, and the numerical rules of livestock in vivo is being carried out to improve and manage the environment in which livestock are kept. However, conventional models of growth are not sufficient to support the decision-making to control complex environment in pen by analyzing and interpreting air environment and breeding environment in a complex way. In this paper, we propose a method to control the complex environment in pen by using artificial neural network model based on biological information, air environment, breeding environment and production information.

• Journal of the Korean Society of Urban Environment
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• v.18 no.4
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• pp.465-471
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• 2018

A field scrutiny related to livestock excretions in Yeongsan stream basin was performed in this study. This result was used to verify the accuracy of nationwide survey result (formal document) for pollution sources by comparing them, and a management plan of livestock excretions was also suggested based on their comparison in this study. The major differences between them were 17.7% in the number of stock farms, 39.6% in the population of milk cows and 41.6% in the treatment method of pig excretions. The biggest difference to the pig case, which is currently the most problem in livestock excretions treatment, could be because of the cause that most of the farmlands, including orchard grove, used as individual treatment site for excretions played role as a dump site to reduce the cost for consignment treatment. Meanwhile, the 67% of compost heaps was illegally left alone in field without the rain shelter and could flow in the stream if it is raining.

• Smart Media Journal
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• v.8 no.3
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• pp.88-94
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• 2019

Livestock disease is a very important issue in the livestock industry because if livestock disease is not responded quickly enough, its damage can be devastating. To solve the issues involving the occurrence of livestock disease, it is necessary to diagnose in advance the status of livestock disease and develop systematic and scientific livestock feeding technologies. However, there is a lack of domestic studies on such technologies in Korea. This paper, therefore, proposes Livestock Disease Forecasting and Livestock Farm Integrated Control System using Cloud Computing to quickly manage livestock disease. The proposed system collects a variety of livestock data from wireless sensor networks and application. Moreover, it saves and manages the data with the use of the column-oriented database Hadoop HBase, a column-oriented database management system. This provides livestock disease forecasting and livestock farm integrated controlling service through MapReduce Model-based parallel data processing. Lastly, it also provides REST-based web service so that users can receive the service on various platforms, such as PCs or mobile devices.

• Journal of Animal Environmental Science
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• v.18 no.2
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• pp.111-122
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• 2012

Establishment of the LFQC (Liquid Fertilizer Quality Certification) system is very urgent issue for recycling livestock manure as renewable resources in Korea faced with environmental problem of manure application to land due to intensive livestock farming. In this study, we investigated relevant laws and regulations on livestock manure fertilizer, certifications of eco-friendly agricultural products, government policies on livestock manure management to establish reasonable direction of Korean LFQC (Liquid Fertilizer Quality Certification) system. As a result from this study, the liquid fertilizers in 'LFQC' system could be classified as three levels according to the usage patterns in field; 1st. Individual Farm Level (IFL), 2nd. Joint Farm Level (JFL), and 3rd. Commercial Level (CML). And finally, we found some characteristics in 'Main Level-Grading Factors' of liquid fertilizer such as fertilizing value, harmfulness, stability, uniformity, economic effect, storage potential, commercial value, functionality. Those items were considered to be the key factors for the establishment of 'LFQC' system. More research on 'Evaluation Standards' for concrete guideline and on the 'Main Level-Grading Factors' be needed to complete Korean LFQC system.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.568-568
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• 2016

가축분뇨는 발생부터 처리, 유통 단계에 이르기까지 다양한 경로에서 비점오염이 배출되고 있다. 그러나 소규모 농가의 경우 수거에 의해 공공처리시설에서 처리되는 가축분뇨의 양은 매우 적고, 대부분 자체 자원화 시설에서 톱밥발효에 의한 퇴비화를 하는 등 관리 미흡으로 인하여 축산 농가로부터 배출되는 비점오염부하가 큰 실정이다. 또한 관리주체가 모호하고, 축산비점오염물질의 정량화 및 하천에 미치는 영향에 대한 연구가 미흡하여 관리 대책 마련에 있어 어려움을 겪고 있다. 이에 본 연구에서는 축산농가의 밀집지역을 대상으로 축산 비점오염물질이 강우시에 주변 하천에 미치는 영향을 조사 및 분석하여 향후 축산 비점오염원 DB구축에 기초자료로 이용하고자 연구하였다. 연구대상 지역은 경상북도 영천시 북안천 일대로 축산비점오염원에 대한 영향 파악을 조사하기 위해 하천의 상류부터 하류까지 총 5개의 지점을 선정하여 2015년도에 6개 강우사상에 대하여 모니터링을 수행하였다. 수문분석을 위해 조상대상지역의 강우량, 유속 및 유량 등을 측정하였으며, 수질분석은 수질오염공정시험과 Standard Method를 이용하여 BOD, TN, TP 등의 농도를 분석하였다(USEPA 1993). 모니터링의 결과를 이용하여 강우시 오염물질에 대한 EMC를 산정하고 각 소유역 내 축산 현황에 따른 하천의 수질을 평가하였다.