• Title/Summary/Keyword: agricultural agency

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The Evolution of Festival Culture of Using the XR Technology (XR 기술을 활용한 축제 문화의 진화)

  • Lee Yong Il;Park Seon Hwa
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.4
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    • pp.669-674
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    • 2024
  • Up to now, domestic festival culture has been continued by traditional way, so it has been continued to the thema of local traditional culture after the stage of promoting the local agricultural products and marine products. Recently, a newscaster was replaced by the AI newscaster of using AI technology, and what was more AI technology is used to the election campaign. Also, in the university and local festival, VR and XR technologies have been used. To prove the fact that XR technologies could be used in the military training, XR technologies were applied to the military training program. It is expected that these VR and XR technologies will be applied to not only the military training, but also various areas, and change the festival culture with the new trend. In this study, we proved that the XR technologies could be applied to the festival culture.

A comparative study of management system of unregulated agricultural pesticides in Korea, the European Union, and the United States of America: a review (비규제 농약 관리를 위한 한국, 유럽, 미국의 농약관리체계 비교분석)

  • Nam, Sun-Hwa;Kwak, Jin Il;Kim, Dasom;An, Youn-Joo
    • Journal of Applied Biological Chemistry
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    • v.61 no.2
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    • pp.195-204
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    • 2018
  • Pesticide residue in the eggs in the market has become a significant problem in Korea. In particular, the detection of fipronil indicated that unregulated pesticide residue can be present in livestock products, including eggs. Institutionally unregulated pesticides are a risk to human health and the ecosystem. In this study, we analyzed the system of agricultural pesticide management in Korea, the European Union, and the United States of America (USA) and discussed the problems of the Korean management system and the possible improvement directions. Based on the analysis, we considered three tasks: registration of pesticides, pesticide residue levels in food, and pesticide residue levels in environmental media. The registration of pesticides was conducted by the Ministry of Agriculture, Food, and Rural Affairs in Korea; the Directorate-General for Health and Food Safety in the European Commission (EC); and the US Environmental Protection Agency (USEPA) in the USA. The work regarding pesticide residue levels in food was conducted by the Ministry of Food and Drug Safety in Korea, the Directorate-General for the Health and Food Safety in the EC, and the USEPA and Food and Drug Administration in the USA. The work regarding pesticide residue levels in environmental media was conducted by the Ministry of Environment in Korea, the Directorate-General for Environment in the EC, and the USEPA in the USA. Therefore, Korea should review the extension of pesticide residue standards in the environmental media for strengthening the system of management of unregulated agricultural pesticides.

Assessing the Benefits of Incorporating Rainfall Forecasts into Monthly Flow Forecast System of Tampa Bay Water, Florida (하천 유량 예측 시스템 개선을 위한 강우 예측 자료의 적용성 평가: 플로리다 템파 지역 사례를 중심으로)

  • Hwang, Sye-Woon;Martinez, Chris;Asefa, Tirusew
    • Journal of The Korean Society of Agricultural Engineers
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    • v.54 no.4
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    • pp.127-135
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    • 2012
  • This paper introduced the flow forecast modeling system that a water management agency in west central Florida, Tampa Bay Water has been operated to forecast monthly rainfall and streamflow in the Tampa Bay region, Florida. We evaluated current 1-year monthly rainfall forecasts and flow forecasts and actual observations to investigate the benefits of incorporating rainfall forecasts into monthly flow forecast. Results for rainfall forecasts showed that the observed annual cycle of monthly rainfall was accurately reproduced by the $50^{th}$ percentile of forecasts. While observed monthly rainfall was within the $25^{th}$ and $75^{th}$ percentile of forecasts for most months, several outliers were found during the dry months especially in the dry year of 2007. The flow forecast results for the three streamflow stations (HRD, MB, and BS) indicated that while the 90 % confidence interval mostly covers the observed monthly streamflow, the $50^{th}$ percentile forecast generally overestimated observed streamflow. Especially for HRD station, observed streamflow was reproduced within $5^{th}$ and $25^{th}$ percentile of forecasts while monthly rainfall observations closely followed the $50^{th}$ percentile of rainfall forecasts. This was due to the historical variability at the station was significantly high and it resulted in a wide range of forecasts. Additionally, it was found that the forecasts for each station tend to converge after several months as the influence of the initial condition diminished. The forecast period to converge to simulation bounds was estimated by comparing the forecast results for 2006 and 2007. We found that initial conditions have influence on forecasts during the first 4-6 months, indicating that FMS forecasts should be updated at least every 4-6 months. That is, knowledge of initial condition (i.e., monthly flow observation in the last-recent month) provided no foreknowledge of the flows after 4-6 months of simulation. Based on the experimental flow forecasts using the observed rainfall data, we found that the 90 % confidence interval band for flow predictions was significantly reduced for all stations. This result evidently shows that accurate short-term rainfall forecasts could reduce the range of streamflow forecasts and improve forecast skill compared to employing the stochastic rainfall forecasts. We expect that the framework employed in this study using available observations could be used to investigate the applicability of existing hydrological and water management modeling system for use of stateof-the-art climate forecasts.

Biological Activity of Omija (Schizandra chinensis Baillon) Extracts (오미자(Schizandra chinensis Baillon) 추출물의 생리활성)

  • Ju, In-Sik;Kim, Byung-Chul;Lee, Woo-Shik;Kim, Mi-Ja;Lee, Byoung-Gu;An, Bong-Jeun;Kim, Jeung-Hoan;Kwon, Oh-Jun;Cho, Young-Je
    • Applied Biological Chemistry
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    • v.50 no.3
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    • pp.198-203
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    • 2007
  • Extracts from Schizandra chinensis Baillon (Korean name: Omija) were tested for antioxidant and their inhibitory activities of ${\alpha}-amylase$ and ${\alpha}-glucosidase$. Total contents of phenolics were found as 4.35 mg/g (water extract)${\sim}$6.35 mg/g (60% ethanol extract). Electron donating ability (EDA), ABTS [2,2'-azinobis(3-ethyl-benzothiaznoline-6-sulfonic acid)] radical decolorization, antioxidant protection factor (PF) and thiobarbituric acid reactive substance (TBARS) were measured for the antioxidative activity of the extracts from S. chinensis. The water extract were determined as 97.5% at 200 ${\mu}g/ml$ while the activity of 60% ethanol extract were 96.2% at 200 ${\mu}g/ml$ in EDA. The 60% ethanol extract showed higher antioxidant activity than water extract when evaluated by ABTS radical decolorization, antioxidant PF and TBARS. ${\alpha}-Amylase$ inhibitory activity of water extract was similar with that of 60% EtOH extract. ${\alpha}-glucosidase$ inhibitory activities of water extract (97.4%) was higher than that of 60% ethanol extract (84.5%) at 200 ${\mu}g$/ml. The water extract from S. chinensis did not show an antimicrobial activity against Helicobacter pylori, but the 60% ethanol extract showed high antimicrobial activities such as 23 ${\pm}$ 1.6 mm of clear zone in 200 ${\mu}g/ml$ of phenolics. The result suggest that the water and 60% ethanol extract from S. chinensis will be useful as natural antioxidants and functional foods.

Development of an Emergence Model for Overwintering Eggs of Metcalfa pruinosa (Hemiptera: Flatidae) (미국선녀벌레(Metcalfa pruinosa) (Hemiptera: Flatidae) 월동난 부화 예측 모델 개발)

  • Lee, Wonhoon;Park, Chang-Gyu;Seo, Bo Yoon;Lee, Sang-Ku
    • Korean journal of applied entomology
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    • v.55 no.1
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    • pp.35-43
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    • 2016
  • The temperature-dependent development of Metcalfa pruinosa overwintering eggs was investigated at ten constant temperatures (12.5, 15, 17.5, 20, 22.5, 25, 27.5, 30, 32.5, and $35{\pm}1^{\circ}C$, Relative Humidity 20~30%). All individuals collected before April 13, 2012 failed to develop into first instar larvae. In contrast, some individuals that were collected on April 11, 2013 successfully developed when reared under $20{\sim}32.5^{\circ}C$ temperature regimes. The developmental duration was shortest at $30^{\circ}C$ (13.3 days) and longest at $15^{\circ}C$ (49.6 days) in the fourth collected colony (April 26 2013). Developmental duration decreased with increasing temperature up to $30^{\circ}C$ and development was retarded at high-temperature regimes ($32.5^{\circ}C$). The lower developmental threshold was $10.1^{\circ}C$ and the thermal constant required to complete egg overwintering was 252DD. The Lactin 2 model provided the best statistical description of the relationship between temperature and the developmental rate of M. pruinosa overwintering eggs ($r^2=0.99$). The distribution of the developmental completion of overwintering eggs was well described by the 2-parameter Weibull function ($r^2=0.92$) based on the standardized development duration. However, the estimated cumulative 50% spring emergence dates of overwintering eggs were best predicted by poikilotherm rate model combined with the 2-parameter Weibull model (average difference of 1.7days between observed and estimated dates).

Fruit price prediction study using artificial intelligence (인공지능을 이용한 과일 가격 예측 모델 연구)

  • Im, Jin-mo;Kim, Weol-Youg;Byoun, Woo-Jin;Shin, Seung-Jung
    • The Journal of the Convergence on Culture Technology
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    • v.4 no.2
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    • pp.197-204
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    • 2018
  • One of the hottest issues in our 21st century is AI. Just as the automation of manual labor has been achieved through the Industrial Revolution in the agricultural society, the intelligence information society has come through the SW Revolution in the information society. With the advent of Google 'Alpha Go', the computer has learned and predicted its own machine learning, and now the time has come for the computer to surpass the human, even to the world of Baduk, in other words, the computer. Machine learning ML (machine learning) is a field of artificial intelligence. Machine learning ML (machine learning) is a field of artificial intelligence, which means that AI technology is developed to allow the computer to learn by itself. The time has come when computers are beyond human beings. Many companies use machine learning, for example, to keep learning images on Facebook, and then telling them who they are. We also used a neural network to build an efficient energy usage model for Google's data center optimization. As another example, Microsoft's real-time interpretation model is a more sophisticated translation model as the language-related input data increases through translation learning. As machine learning has been increasingly used in many fields, we have to jump into the AI industry to move forward in our 21st century society.

Development of Examination Model of Weather Factors on Garlic Yield Using Big Data Analysis (빅데이터 분석을 활용한 마늘 생산에 미치는 날씨 요인에 관한 영향 조사 모형 개발)

  • Kim, Shinkon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.5
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    • pp.480-488
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    • 2018
  • The development of information and communication technology has been carried out actively in the field of agriculture to generate valuable information from large amounts of data and apply big data technology to utilize it. Crops and their varieties are determined by the influence of the natural environment such as temperature, precipitation, and sunshine hours. This paper derives the climatic factors affecting the production of crops using the garlic growth process and daily meteorological variables. A prediction model was also developed for the production of garlic per unit area. A big data analysis technique considering the growth stage of garlic was used. In the exploratory data analysis process, various agricultural production data, such as the production volume, wholesale market load, and growth data were provided from the National Statistical Office, the Rural Development Administration, and Korea Rural Economic Institute. Various meteorological data, such as AWS, ASOS, and special status data, were collected and utilized from the Korea Meteorological Agency. The correlation analysis process was designed by comparing the prediction power of the models and fitness of models derived from the variable selection, candidate model derivation, model diagnosis, and scenario prediction. Numerous weather factor variables were selected as descriptive variables by factor analysis to reduce the dimensions. Using this method, it was possible to effectively control the multicollinearity and low degree of freedom that can occur in regression analysis and improve the fitness and predictive power of regression analysis.

Water Quality Monitoring in Small/Medium Sized Reservoirs (국내 중소형 저수지 활용을 위한 수질 분석)

  • Lim, Myunghee;Lee, Wontae;Son, Younggyu
    • Journal of Korean Society of Environmental Engineers
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    • v.37 no.11
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    • pp.631-635
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    • 2015
  • Water quality investigation was conducted for small/medium sized reservoirs in A city in June and November 2014 as a preliminary step for further use. Water quality analysis experiments were conducted for 21 reservoirs managed by a local government and water quality data were obtained from Korea Rural Community Corporation for 12 reservoirs. It was found that relatively poor water quality, not satisfied with the regulation level (somewhat poor(IV)) for agricultural use, was observed for some reservoirs and worse water quality (poor(V) and very poor(VI) grade) was observed for more reservoirs during autumn /winter season due to the decrease in water volume. Correspondingly, the trophic state was obtained as "Eutrophic" or "Hypertrophic" using the Korean trophic state index for most reservoirs. It was also revealed that significant contamination in sediments was not observed for selected 8 reservoirs considering water quality in each reservoir. The results in this study could be useful for the use of small/medium sized reservoirs as alternative water resources, tourism resources, inland fishery resources, renewable energy production sites, and anti-flooding reservoirs.

A Tyrosinase Inhibitor Isolated from the Seeds of Eriobotrya japonica (비파 씨로부터 Tyrosinase 저해 활성물질의 분리)

  • Kim, Tae-Hoon;Shin, Seung-Ryeul;Kim, Tae-Wan;Lee, In-Chul;Park, Moon-Young;Jo, Cheo-Run
    • Food Science and Preservation
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    • v.16 no.3
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    • pp.435-441
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    • 2009
  • Activity-guided isolation from the ethylacetate (EtOAc)-soluble portion of a methanolic extract of the seeds of Eriobotrya japonica, using several bioassays, led to the isolation and identification of six phenolic compounds of previously known structure: benzaldehyde (1), chlorogenic acid (2), caffeic acid (3), benzoic acid (4), ferulic acid (5), and amygdalin (6). Of these, benzaldehyde (1) exhibited tyrosinase inhibitory activity in a bioassay. In addition, chlorogenic acid (2) and caffeic acid (3) were found to have strong antioxidative effects on 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging and superoxide dismutase (SOD)-like activity.

An Epidemiological Investigation on an Outbreak of Shigellosis during Travelling Cambodia and Vietnam among Korean Rural People, 2005 (2005년 농촌 주민들에서 캄보디아와 베트남 여행 중 발생한 세균성이질)

  • Lim, Hyun-Sul;Lee, Hwan-Seok
    • Journal of agricultural medicine and community health
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    • v.34 no.3
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    • pp.368-374
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    • 2009
  • Objectives: A group consisted of 32 Korean rural people had been travelled to Cambodia and Vietnam. During their travel for 7 days, first diarrheal case had occurred on 3rd day of travel and overall 8 people had diarrhea during travel. So we investigated the case for determination of the cause and route of infection. Methods: We interviewed all 32 people by visiting or telephone and took 23 stool samples from them, which are examined by Gyeungsangbuk-do Government Public Institute of Health & Environment in Korea. We interviewed travel agency for travel route and schedule. Results: The attack rate was 25.0% (8 cases) among 32 people. Of them, 3 cases were microbiologically confirmed to have the infection of Shigella flexneri (Serotype 3a). The result of this epidemiological investigation showed that the infection of shigellosis was happened in foreign countries. We assumed the water from Angkor-Watt was contaminated by S. flexneri. We could not able to test environmental specimens because of the infection is thought to be occurred in foreign countries. Conclusions: Most common infectious diseases from foreign countries are transmitted by water or food. Travellers to foreign countries must take caution for communicable diseases and must do report and get appropriate treatment when symptoms developed after travel.