• Journal of Life Science
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• v.31 no.2
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• pp.144-148
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• 2021

This study aimed to analyze the content and composition of a biological amine, cadaverine, isolated from the venom of worker honeybees (Apis mellifera L.). This biological amine―which has diverse functionality, such as anti-inflammatory and antibacterial effects―has not been previously reported in bee venom. An assay completed in 13 minutes was developed for the cadaverine present in the bee venom using an ultra-performance liquid chromatograph and a Halo C18 column with acetonitrile and water as the mobile phase. The specificity, accuracy, and precision of the assay were verified, and the assay was validated. The linearity for cadaverine in the bee venom was R2=0.99 or above, indicating a moderate level. The limit of detection and limit of quantification were both 0.3 ㎍/ml, and the rate of recovery was 97.6%-99.1%. The relative standard deviation (RSD) of the intra-day precision and inter-day precision for cadaverine was 0.25%-0.44% and 0.25%-1.25%, respectively, with an RSD that fell within 5% indicating excellent precision. Through this novel assay, it was found that the mean content of cadaverine was 1.10±0.05 mg/g. Our results indicated that the linearity, limit of detection, limit of quantification, and rate of recovery of the cadaverine assay were of a satisfactory level, and the cadaverine content of the bee venom was ably determined. This study provides basic data on cadaverine in bee venom, which will prove useful in further studies on the bioactivity of this component.

• Journal of the Korean Society of International Agriculture
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• v.31 no.2
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• pp.178-182
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• 2019

'Muha' is a new strawberry (Fragaria x ananassa Duch.) cultivar, which was released by the Highland Agriculture Research Institute in 2015. The 'Muha' cultivar originated from a cross between 'Maehyang' and 'Selva' that showed excellent ever-bearing characteristics, including continuous flowering habit and high soluble-solid content under long-day and high temperature conditions in 2010. This cultivar was initially named 'Saebong No. 7' after examining its characteristics and productivity in summer culture from 2011 to 2014. After regional adaptability tests in 2015, 'Muha' was selected from Saebong No. 7 as an elite cultivar. The general characteristics of 'Muha' include semispreading type, elliptical leaf, and strength vigor in growth. The fruits are conical in shape, red in color. 'Muha' plants have 18.7 flower clusters, 8.7 more than 'Flamenco' plants. The fruit hardness of 'Muha' and Flamenco' was about the same. The number of fruits of 'Muha' was 37.2, which was 20 higher than that of 'Flamenco'. The marketable yield was 23,981 kg·ha^-1, 159% higher than 'Flamenco'. 'Muha' is suitable for north and highland area of the Southeast Asia as a high hardness and yield cultivar, because it showed continuous flowering habit under long-day and high temperature conditions.

• Food Science and Preservation
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• v.30 no.3
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• pp.526-537
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• 2023

This study aimed to evaluate the antioxidant and hepatoprotective effects of aqueous and 60% ethanol extracts of Allium ochotense Prokh. against alcohol-induced cytotoxicity as well as on the activities of alcohol-metabolic enzymes. Antioxidant effects of the extracts were analyzed using 3-ethylbenzothiazoline-6-sulfonic acid, 1,1-diphenyl-2-picrylhydrazl, ferric reducing antioxidant power, and malondialdehyde assays, and found that both extracts exhibited considerable antioxidant activities. Additionally, both extracts showed synergistic effects on the activities of alcohol-metabolic enzymes, such as alcohol dehydrogenase, but not on the activity of aldehyde dehydrogenase. In addition, 2'-7'-dichlorodihydrofluorescein diacetate (DCF-DA) and 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assays revealed that aqueous and 60% ethanol extracts reduced oxidative stress and increased cell viability. Moreover, both extracts regulated the expression of apoptosis-related proteins, namely B-cell lymphoma (BCl-2), BCl-2 associated X (BAX), and pro-caspase-3, in HepG2 cells. In conclusion, aqueous and 60% ethanol extracts of A. ochotense Prokh. might be valuable functional materials derived from natural resources for the prevention of ethanol-induced cytotoxicity.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.665-667
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• 2018

The agriculture is the first industrial technology to lay the foundation for human development and is an essential component to human survival. With the emergence of various industries, agriculture has become a relatively neglected industry. However, with the recent development of IT technology, agricultural technology has found an infinite potential for development and has been selected as a promising industry that will not be lost in the future. Smart Farm improved the quality of life by improving the poor working environment of existing farmers. In addition, it is expected that physically disadvantaged workers can participate in the industry, and by promoting the inflow of excellent workers, the staff can be increased and the level can be increased. Currently, smart farms are in the early stages of commercialization and need to develop more diverse technologies. The project aims to popularize smart farms and to collect and database crop growth environment information through sensors.

• Korean Journal of Remote Sensing
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• v.31 no.5
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• pp.491-499
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• 2015

In developed countries such as USA and Europe, agricultural monitoring system is developed and utilized in various fields in order to predict crop yield, observe weather conditions and anomaly, categorize crop fields, and calculate areas for each crop. These system is Web Map Service(WMS) which utilizes open source and commercial softwares, and various information collected from remote sensing data are provided. This study will utilize tools such as GeoServer, ArcGIS Server, which are widely used to monitor agricultural production, to publish Map Server and Web Application Server. This enables performance test study for future agricultural production monitoring system by making use of response time and data transfer test. When tested in identical condition GeoServer showed a better result in response time and data transfer for performance test.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.243-250
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• 2020

Systematic farming can be planned and managed if long-term agricultural weather information of the plantation is available. Because the greatest risk factor for crop cultivation is the weather. In this study, a method for long-term predicting of agricultural weather using the GloSea5 and machine learning is presented for the cultivation of Chinese cabbage. The GloSea5 is a long-term weather forecast that is available up to 240 days. The deep neural networks and the spatial randomforest were considered as the method of machine learning. The longterm prediction performance of the deep neural networks was slightly better than the spatial randomforest in the sense of root mean squared error and mean absolute error. However, the spatial randomforest has the advantage of predicting temperatures with a global model, which reduces the computation time.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.423-423
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• 2018

전세계적으로 집중호우, 홍수, 가뭄 등 기상이변이 빈번히 발생하고 있으며, 홍수기와 갈수기가 뚜렷해지고, 이에 따라 수자원 확보에 애로사항이 발생하고 있다. 이를 해결하기 위하여 정부는 "물의 재이용촉진 및 지원에 관한 법률"을 재정하여 효율적인 빗물 관리에 주력을 하고 있으나, 체계적인 빗물관리는 미흡한 실정이다. 즉 수자원을 효율적으로 보관하고 관리할 시스템 구축이 필요하다. 본 연구에서는 재배 작물에 대한 농업용수 확보를 위한 빗물저류조를 시공 및 모니터링을 하기 위하여 먼저 보은군 회인면 오동리의 기상 및 수문특성 조사를 실시하였고, 확률강우량을 산정하기 위해 보은기상관측소의 지속기간별 강우 자료를 수집하여 확률분포를 선정하고 매개변수를 산정하였다. 이에 따른 적합도 검정 결과 최적 확률분포형을 산정하였다. 분석한 결과를 통해 대상지역의 집수되는 면적에 내리는 유출량을 산정하였으며, 집수되는 유형은 지붕으로서 그에 대한 면적은 $120.0m^2$로 측정되었고, 지붕에 대한 유출계수로서 0.9의 값을 적용하였다. 지붕에서 집수되는 유출량의 값을 산정하였으며, 6월의 50년 빈도에서 부족한 9.4톤은 집수된 유출량으로 보충할 수 있는 것으로 판단된다. 따라서 50년 빈도의 10톤을 저류할 빗물은 저류조에서 30%의 여유율을 두어 13톤으로 저류조를 설계하는 것이 적정할 것으로 판단된다. 현재 빗물자원의 대부분은 바다로 유입되어 소모되거나, 하수로 유입되어 불필요한 고도처리공정이 진행되고, 하수처리장 용량에 과부하를 발생시키는 등 막대한 예산이 투입되고 있다. 갈수기시 농가에서 용수를 확보하기 위한 용수 운반장치 등 기반구축과 인력 부족으로 정상적인 용수공급의 어려움을 해결하기 위해서는 빗물자원을 용수로서 효율적으로 활용하기 위한 시스템의 구축이 필요할 것으로 사료된다.

• Smart Media Journal
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• v.11 no.4
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• pp.19-29
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• 2022

Recently, with the development of IoT technology, the number of farms using smart farms is increasing. Smart farms monitor the environment and optimise internal environment automatically to improve crop yield and quality. For optimized crop cultivation, researches on predict crop productivity are actively studied, by using collected agricultural digital data. However, most of the existing studies are based on statistical models based on existing statistical data, and thus there is a problem with low prediction accuracy. In this paper, we use various predition models for predicting the production and sales profits, and compare the performance results through models by using the agricultural digital data collected in the facility horticultural smart farm. The models that compared the performance are multiple linear regression, support vector machine, artificial neural network, recurrent neural network, LSTM, and ConvLSTM. As a result of performance comparison, ConvLSTM showed the best performance in R2 value and RMSE value.

• Korean journal of applied entomology
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• v.61 no.4
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• pp.633-638
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• 2022

Banker plants are non-crop plants that can be used to maintain natural enemies of crop pests. Orius laevigatus (Fieber) (Heteroptera: Anthocoridae) is an important natural predator used to control pest insects, such as thrips, in horticultural crops. The development of suitable banker plants is necessary to maintain O. laevigatus populations within agricultural areas and to effectively improve thrips control. The oviposition rate of O. laevigatus was compared when reared on various flowering plants, such as sedum, rose moss, and chrysanthemum; oviposition rate was highest on the yellow-flowered chrysanthemum variety than on any other plant. This study provides important information for the practical application of banker plants to improve the efficiency of O. laevigatus in agricultural areas.

• Research in Plant Disease
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• v.29 no.2
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• pp.174-183
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• 2023

The limited effectiveness of current plant disease management treatments necessitates the development of new methods for controlling diseases using beneficial microbes. Demanding sustainable agriculture is increasingly highlighted as a biocontrol approach, particularly Streptomyces species known to produce a variety of antibiotic compounds and secondary metabolites. The Streptomyces globisporus SP6C4 strain and Streptomyces sp. S8 have been reported as potent antifungal agents and are gaining attention for improving crop growth in sustainable agriculture. In this study, we investigated the use of Streptomyces species formulations to enhance bacterial growth with nitrogen sources. Specifically, the addition of L-glutamic acid and L-cysteine resulted in earlier sporulation and bacterial growth in Streptomyces strains, respectively. This approach could expand the range of fermentation techniques in agriculture and be useful for controlling plant growth-promoting bacteria.