• 한국환경농학회지
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• 제30권2호
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• pp.118-124
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• 2011

BACKGROUND: Development of water recycle technologies is important for human health and sustainable agriculture. However, few studies have been conducted to examine the purification methods or the water quality of reclaimed wastewater in Korea. METHODS AND RESULTS: In this study, the different wastewaters including reclaimed wastewater and waste nutrient solution (NS) were evaluated. The changes of water quality in reclaimed wastewater and NS were determined using ultraviolet (UV) treatment and sand filtration with charcoal. Our results showed that one of the most critical limitations of reusing wastewater was the presence of harmful pathogens that possibly cause human health risks. CONCLUSION(s): This study suggests that the application of UV treatment or combined with sand filtration on reclaimed wastewater and waste NS effectively removes the total coliform bacteria below the harmful or acceptable level. For future studies, a long-term field monitoring after applying reclaimed wastewater or NS is needed.

• 현장농수산연구지
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• 제16권1호
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• pp.123-133
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• 2014

We assessed the physical habitats of Microphysogobio longidorsalis in the Han river basin. Field monitoring was conducted for ecological and habitat conditions for 11 sites from October 2008 to November 2011. Twenty species (50.0%) including M. longidorsalis and Zacco koreanus were found endemic out of the 40 species in 10 families sampled during this study period. The most frequently found species was Z. platypus (26.2%) followed by Z. koreanus (17.7%), Coreoleuciscus splendidus (14.0%) and M. longidorsalis (13.4%). For M. longidorsalis, total fist length showing the highest number of samples were 8~10 cm (50.9%). the favored habitat conditions were estimated to be 0.4~0.5 m (56.1%) for water depth, 0.2~0.9 m/s (90.4%) for flow velocity, sand (0.1~1.0 mm)~cobbles (100.0~300.0 mm)(94.5%) for substrate size and run (60.2%) for habitat type, respectively.

• 디지털산업정보학회논문지
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• 제5권3호
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• pp.9-18
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• 2009

This paper proposes a Ubiquitous Henhouse Monitoring System (UHMS) that can not only monitor henhouse's conditions and raising environments, but also control the henhouse remotely by using sensor network technology. The system consists of three layers. The physical layer connects sensors with facilities. The middleware layer processes and manages data collected from the physical layer. And the application layer provides the user with the user requested services. The system provides a real-time monitoring service, a facility controlling service, an expert service, a consumer safety service, and a mobile message service via interacting with components of each layer. Finally, a henhouse model is defined and the relevant system components and the application GUIs are implemented.

• 농약과학회지
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• 제5권1호
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• pp.19-23
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• 2001

수도용 제초제 butachlor의 작물잔류성을 조사할 목적으로 주산단지 및 광주, 대구, 부산지역의 시장에서 쌀, 보리, 마늘 양파, 딸기 등 106점의 시료를 채취하여 잔류량을 분석하였다. 제초제 butachlor가 등록되어 있는 작물의 수확물 중 쌀 27점과 보리 15점에서 butachlor가 검출되지 않았으며, 또한 벼 재배 후 이모작으로 재배되는 작물인 마늘21점, 양파 18점, 딸기 18점에서도 검출되지 않았다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.507-515
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• 2002

Remote Sensing Monitoring and Loss Estimated System of Flood Disaster based on GIS is an integrated system comprised flood disaster information receiving and collection, flood disaster simulation, and flood disaster estimation. When the system receives and collects remote sensing monitoring and conventional investigation information, the distributional features of flood disaster on space and time is obtained by means of image processing and information fusion. The economic loss of flood disaster can be classified into two pus: direct economic loss and indirect economic loss. The estimation of direct economic loss applies macroscopic economic analysis methods, i.e. applying Product (Industry and Agriculture Gross Product or Gross Domestic Product - GDP) or Unit Synthetic Economic Loss Index, direct economic loss can be estimated. Estimating indirect economic loss applies reduction coefficient methods with direct economic loss. The system can real-timely ascertains flood disaster and estimates flood Loss, so that the science basis fur decision-making of flood control and relieving disaster may be provided.

• Asian-Australasian Journal of Animal Sciences
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• 제16권4호
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• pp.504-510
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• 2003

Rumen ecology plays an important role in the fermentation process and in providing end-products for ruminants. These studies were carried out to investigate variations in rumen factors namely pH, $NH_3-N$ and microorganisms in cattle and swamp buffaloes. Furthermore, studies on diurnal patterns of rumen fermentation and the effect of rumen digesta transfer from buffalo to cattle was conducted. Based on these studies, diurnal fermentation patterns in both cattle and buffaloes were revealed. It was found that rumen NH3-N was a major limiting factor. Rumen digesta transfer from buffalo to cattle from buffalo to cattle was achievable. Monitoring rumen digesta for 14d after transfer showed an improved rumen ecology in cattle as compared to that of original cattle and buffalo. It is probable that buffalo rumen digesta could be transferred. However, further research should be undertaken in these regards in order to improve rumen ecology especially for buffalo-based rumen.

• The Plant Pathology Journal
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• 제32권6호
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• pp.570-574
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• 2016

Botrytis cinerea is a necrotrophic pathogen causing a major problem in the export and post-harvest of strawberries. Inappropriate use of fungicides leads to resistance among fungal pathogens. Therefore, it is necessary to evaluate the sensitivity of B. cinerea to various classes of fungicide and to determine the effectiveness of different concentrations of commonly used fungicides. We thus evaluated the effectiveness of six classes of fungicide in inhibiting the growth and development of this pathogen, namely, fludioxonil, iprodione, pyrimethanil, tebuconazole, fenpyrazamine, and boscalid. Fludioxonil was the most effective ($EC_{50}$ < $0.1{\mu}g/ml$), and pyrimethanil was the least effective ($EC_{50}=50{\mu}g/ml$), at inhibiting the mycelial growth of B. cinerea. Fenpyrazamine and pyrimethanil showed relatively low effectiveness in inhibiting the germination and conidial production of B. cinerea. Our results are useful for the management of B. cinerea and as a basis for monitoring the sensitivity of B. cinerea strains to fungicides.

• International Journal of Computer Science & Network Security
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• 제22권11호
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• pp.33-42
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• 2022

One of the most pressing socioeconomic problems confronting humanity on a worldwide scale is food security, particularly in light of the expanding population and declining land productivity. These causes have increased the number of people in the world who are at risk of starving and have caused the natural ecosystems to degrade at previously unheard-of speeds. Happily, the Internet of Things (IoT) development provides a glimmer of light for those worried about food security through smart agriculture-a development that is particularly relevant to automating food production operations in order to reduce labor expenses. When compared to conventional farming techniques, smart agriculture has the benefit of maximizing resource use through precise chemical input application and regulation of environmental factors like temperature and humidity. Farmers may make data-driven choices about the possibility of insect invasion, natural disasters, anticipated yields, and even prospective market shifts with the use of smart farming tools. The technical foundation of smart agriculture serves as a potential response to worries about food security. It is made up of wireless sensor networks and integrated cloud computing modules inside IoT.

• 한국응용곤충학회지
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• 제34권1호
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• pp.40-45
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• 1995

전국 8개 지역별 각 사과원에서 채집된 점박이응애(Tetranychus urticae Koch)에 대한 저항성 정도를 일본 감수성 계통과 비교한 결과 지역별 현저한 감수성 차이를 보였다. Azocyclotin, fenpropathrin, propargite 및 abamectin에 대해서는 낮거나 중간 정도의 저항성을, dicofol, fenpyroximate 및 pyridaben에 대해서는 높은 저항성을 나타내었다. 이들 계통은 한종 또는 두종 이상의 약제에 대해 감수성을 보여 특정 지역에 대해서는 적당한 살비제의 선택적 이용으로 점박이응애를 효과적으로 방제할 수 있을 것으로 사료된다.

• 한국농공학회논문집
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• 제64권1호
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• pp.15-26
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• 2022

3D open-field farm model developed from UAV (Unmanned Aerial Vehicle) data could make crop monitoring easier, also could be an important dataset for various fields like remote sensing or precision agriculture. It is essential to separate crops from the non-crop area because labeling in a manual way is extremely laborious and not appropriate for continuous monitoring. We, therefore, made a 3D open-field farm model based on UAV images and developed a crop segmentation model using a supervised machine learning algorithm. We compared performances from various models using different data features like color or geographic coordinates, and two supervised learning algorithms which are SVM (Support Vector Machine) and KNN (K-Nearest Neighbors). The best approach was trained with 2-dimensional data, ExGR (Excess of Green minus Excess of Red) and z coordinate value, using KNN algorithm, whose accuracy, precision, recall, F1 score was 97.85, 96.51, 88.54, 92.35% respectively. Also, we compared our model performance with similar previous work. Our approach showed slightly better accuracy, and it detected the actual crop better than the previous approach, while it also classified actual non-crop points (e.g. weeds) as crops.