• 한국자원식물학회지
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• 제34권3호
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• pp.203-215
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• 2021

Bok choy is one of Brassica vegetables widely consumed worldwide. Brassica vegetables have been reported to exert various pharmacological activities such as antioxidant, anti-cancer and cardioprotective activity. However, studies on immunostimulatory activity of bok choy sprout have not been conducted properly. Thus, in this study, we investigated in vitro immunostimulatory activity of bok choy sprout extract (BCS) using mouse macrophage RAW264.7 cells. Our results showed that BCS increased the production of immunomodulators such as NO, iNOS, IL-1β, IL-6, IL-12, TNF-α and MCP-1, and phagocytic activity in RAW264.7 cells. BCS activated MAPK, NF-κB and PI3K/AKT signaling pathways. However, BCS-mediated production of immunomodulators was dependent on JNK, NF-κB and PI3K/AKT signaling pathways. the mRNA expression of TLR2 were significantly increased by BCS, TLR2 inhibition by anti-TLR2 dramatically suppressed the production of immunomodulators by BCS. In addition, TLR2 inhibition by anti-TLR2 significantly reduced BCS-mediated phosphorylation level of AKT, JNK and NF-κB. From these results, BCS may have immunostimulatory activity via TLR2-MAPK, NF-κB and PI3K/AKT signaling pathways. Therefore, BCS expected to be used as a potential immune-enhancing agent.

• 한국농공학회논문집
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• 제58권4호
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• pp.1-8
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• 2016

In 2008, 17, 596 dams and reservoirs are scattered across South Korea, and 17, 505 of them (99.5 %) are used for agriculture and 99.3 % are fill dam types. This study aimed to review literature related to the precise safety diagnosis system for agricultural reservoirs established by Korea Rural Community Corporation (KRCC) and analyze problems of its evaluation method. And then, it proposed ways to improve the system including a modified diagnosis system, which was applied to pilot districts in order to verify the utility. For assessment model development of agricultural reservoir, we reviewed status of precision safety inspections systems of agricultural reservoir. There are many problems such as assess agricultural reservoir not by sheet which used in fill dam but by block which used in concrete dam construction and diversion tunnel which main element in reservoir levee is treated as water intake facility. For considering diversion tunnel in reservoir levee, previous precision safety inspection systems which summed in separated phenomenon, separated element, separated site, separated facility was change to new systems which summed in site, phenomenon, element, and facility. Compared results of previous inspection system calculated total assessment index (Ec) with new system calculated total assessment index (Ec) are not show statistical difference.

• Agribusiness and Information Management
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• 제10권2호
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• pp.8-17
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• 2018

Due to changes in the agricultural market environment and both overseas and domestic farming conditions, uncertainties in agricultural production and management are becoming greater. Hence, there is a stronger need for farmers to choose crops in the optimal condition. This research aims to introduce the result and process of developing a decision support system for selecting crops, aimed to assist farmers in selecting the optimal crops most suitable in the given situation. There are basically three main factors to consider in the decision-making process for farmers when selecting a crop to introduce to their lands. First of all, one must consider how much profit crop A will produce when it is cultivated. Secondly, one must consider which crop to cultivate in order to earn a certain amount of profit. Thirdly, one must consider what is the best way to maximize Farm A's business profit. For instance, a farm may have land as its resource, and one must research which location, type of crop, level of technology, and so forth, to maximize profit.This research creates a database of the profitability of a total of 180 crop types by analyzing Rural Development Administration's survey of agricultural products income of 115 crop types, small land profitability index survey of 53 crop types, and Statistics Korea's survey of production costs of 12 crop types. Furthermore, this research presents the result and developmental process of a web-based crop introduction decision support system that provides overseas cases of new crop introduction support programs, as well as databases of outstanding business success cases of each crop type researched by agricultural institutions.

• 한국환경농학회지
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• 제39권2호
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• pp.83-88
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• 2020

BACKGROUND: This study was carried out to investigate residual characteristics of diethofencarb during ginseng cultivation and processing, and to establish the maximum residue limits (MRL) of ginseng and its processed products. METHODS AND RESULTS: Supervised field trials were conducted from three fields located at Seosan, Goesan and Jeongeup in Korea. Diethofencarb 25% WP was diluted by 500 times and sprayed 4 times onto the ginseng with 10 days interval. The samples were collected at 80 days after final application. The residual amounts of diethofencarb ranged from 0.074 to 0.460 mg/kg in fresh ginseng, from 0.292 to 0.720 mg/kg in dried ginseng, and from 0.208 to 0.557 mg/kg in red ginseng. These data exceeded the ginseng's MRL, 0.3 mg/kg. The processing factors of diethofencarb in processed products were found to be 2.64 and 1.99, respectively for dried and red ginseng. CONCLUSION: Given the lower residual concentration of red ginseng that goes through a more complicated process than dried ginseng, the residual concentrations of diethofencarb in processed ginseng products were found to be dependent on processing method. Therefore, it is necessary to reconsider the MRL of diethofencarb in fresh ginseng and its processed products.

• 농촌계획
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• 제25권3호
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• pp.11-18
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• 2019

It is widely known that agricultural plastic waste incineration by farmers may cause big forest fire or fine dust in rural areas. Hence, how to increase the rate of collection and recycling of the agricultural plastic waste is of concern to policy makers especially for rural environment. The purpose of this study is to find the determinants of the collection rate of agricultural plastic waste. This study used the data from 'Research on Agricultural Waste' by the Korea Environment Corporation from year 2012 to 2015 for 163 regions. This study found that the compensation rate for collection, the frequency of collecting services, and the quality of waste are important to increase the collection rate. And the regions with more elderly and low income people are more likely to have higher collection rate. Finally, the chief producing regions that are specialized in a certain crop shows higher collection rate.

• 한국농공학회논문집
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• 제60권6호
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• pp.121-131
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• 2018

Climate change has caused changes in environmental factors that have a direct impact on agriculture such as temperature and precipitation. The meteorological disaster that has the greatest impact on agriculture is drought, and its forecasts are closely related to agricultural production and water supply. In the case of terrestrial data, the accuracy of the spatial map obtained by interpolating the each point data is lowered because it is based on the point observation. Therefore, acquisition of various meteorological data through satellite imagery can complement this terrestrial based drought monitoring. In this study, Evaporative Stress Index (ESI) was used as satellite data for drought determination. The ESI was developed by NASA and USDA, and is calculated through thermal observations of GOES satellites, MODIS, Landsat 5, 7 and 8. We will identify the difference between ESI and other satellite-based drought assessment indices (Vegetation Health Index, VHI, Leaf Area Index, LAI, Enhanced Vegetation Index, EVI), and use it to analyze the drought in South Korea, and examines the applicability of ESI as a new indicator of agricultural drought monitoring.

• 농촌계획
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• 제27권1호
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• pp.21-28
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• 2021

Since 2001, the Pangyo district multipurpose rural water development project has been promoted as a new target project for stable supply of agricultural water and improvement of the living environment of rural areas in Seocheon-gun. Detailed data analysis and logic must be reinforced, focusing on the items reorganized by the reorganization of the preliminary feasibility study. The purpose of this study is to promote the smooth promotion of projects by conducting a policy effect assessment following the reorganization of the preliminary feasibility study system. This study conducted a policy assessment of agricultural infrastructure improvement project for preliminary feasibility study. The policy assessment is divided into three parts: project implementation conditions, policy effects and special assessments. The newly established policy effect is to assess the job effects, living conditions impact, environmental evaluation, and safety evaluation that contribute to the quality of life. Sixteen policy assessment items were selected and evaluated quantitatively and qualitatively. The results of the study are expected to provide basic data for the comprehensive judgment of the preliminary feasibility study of agricultural infrastructure improvement project in the future.

• 농업과학연구
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• 제49권2호
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• pp.193-202
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• 2022

The recurrent neural network (RNN) algorithm has been widely used in water-related research areas, such as water level predictions and water quality predictions, due to its excellent time series learning capabilities. However, studies on water quality predictions using RNN algorithms are limited because of the scarcity of water quality data. Therefore, most previous studies related to water quality predictions were based on monthly predictions. In this study, the quality of the water in a reservoir in Nonsan, Chungcheongnam-do Republic of Korea was predicted using the RNN-LSTM algorithm. The study was conducted after constructing data that could then be, linearly interpolated as daily data. In this study, we attempt to predict the water quality on the 7th, 15th, 30th, 45th and 60th days instead of making daily predictions of water quality factors. For daily predictions, linear interpolated daily water quality data and daily weather data (rainfall, average temperature, and average wind speed) were used. The results of predicting water quality concentrations (chemical oxygen demand [COD], dissolved oxygen [DO], suspended solid [SS], total nitrogen [T-N], total phosphorus [TP]) through the LSTM algorithm indicated that the predictive value was high on the 7th and 15th days. In the 30th day predictions, the COD and DO items showed R² that exceeded 0.6 at all points, whereas the SS, T-N, and T-P items showed differences depending on the factor being assessed. In the 45th day predictions, it was found that the accuracy of all water quality predictions except for the DO item was sharply lowered.

• 한국환경농학회지
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• 제35권2호
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• pp.148-151
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• 2016

BACKGROUND: There are few studies on the impacts of hydrophytes on water quality, so there is a need to research the effects of death of hydrophytes on the worsening of water quality. This study aimed to monitor the effects of Trapa japonica death on reservoir water quality.METHODS AND RESULTS: T.japonica shows the life cycle that highest growth in summer and rapid death in fall decomposing their body in general. T.japonica contains comparatively large portion of nutrients and minerals. Through the field survey using Mesocosm to identify the effects of excessive population of T.japonica on water quality, the water quality of plots planted T.japonica is gradually worse compared with the control plot. And the result of Wilcoxon-test also shows that the negative effect of T.japonica on water quality with significant (p<0.05).CONCLUSION: It is necessary to control the population growth of T.japonica in order to prevention of water pollution in fall.

• 한국농공학회논문집
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• 제61권1호
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• pp.21-29
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• 2019

This study analyzed the variability of drought risk based on trend analysis of dry-seasonal dam inflow located in upper river basins. To this, we used areal averaged precipitation and dam inflow of three upper river dams such as Soyang dam, Chungju dam, and Andong dam. We employed Mann-Kendall trend analysis and change point detection method to identify the significant trends and changing point in time series. Our results showed that significant decreasing trends (95% confidence interval) in dry-seasonal runoff rates (= dam inflow/precipitation) in three-dam basins. We investigated potential causes of decreasing runoff rates trends using changes in potential evapotranspiration (PET) and precipitation indices. However, there were no clear relation among changes in runoff rates, PET, and precipitation indices. Runoff rate reduction in the three dams may increase the risk of dam operational management and long-term water resource planning. Therefore, it will be necessary to perform a multilateral analysis to better understand decreasing runoff rates.