• Journal of the Institute of Convergence Signal Processing
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• v.22 no.4
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• pp.193-198
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• 2021

Recently, interests in the 4th industry have increased the level of demand for pest control by farmers in the field of rice farming, and the interests and use of agricultural pest control drones. Therefore, the diversification of agricultural control drones that spray high-concentration pesticides and the increase of agricultural exterminators due to the acquisition of national drone certifications are rapidly developing the agricultural sector in the drone industry. In addition, as detailed projects, an effective platform is required to construct large-scale big data due to pesticide management, exterminator management, precise spraying, pest control work volume classification, settlement, soil management, prediction and monitoring of damages by pests, etc. and to process the data. However, studies in South Korea and other countries on development of models and programs to integrate and process the big data such as data analysis algorithms, image analysis algorithms, growth management algorithms, AI algorithms, etc. are insufficient. This paper proposed an online drone pest control management information platform to meet the needs of managers and farmers in the agricultural field and to realize precise AI pest control based on the agricultural drone pest control processor using drones and presented foundation for development of a comprehensive management system through empirical experiments.

• Korean Journal of Weed Science
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• v.31 no.1
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• pp.8-23
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• 2011

Weeds are one of the major constraints to crop production in organic farming systems. This paper reviews major results and techniques achieved with physical, cultural, and biological weed control and their perspectives in organic agriculture. Physical methods includes mechanical, thermal, lighting, electrocution, pneumatic, autonomous robot weeding control techniques. Cultural weed control methods includes mulching, tillage, crop rotation, cover crops and crop competition. Physical and cultural weed control techniques are especially important in organic farming crops where other weed control options are limited or not available without use of herbicides. Biological weed control includes mycoherbicides, innundative biological control, broad-spectrum biological control and allelopathy. Successful weed management in organic farming requires well managed integrated systems of mechanical control using newly developed machines, cultural control and biological control methods. Weed management decision-aid models may also needed to develop to provide greater assurance of achieving profitability and appropriate long-term weed management in organic farming in the future.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2012.06a
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• pp.186-187
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• 2012

본 연구에서는 방제수행의 책임이 있는 오염자부담의 원칙성을 제고하고, 방제수행의 대표적인 두 부문인 정부-민간 부문의 방제수행 능력은 꾸준히 증가시키면서 활성화 할 수 있는 6단계 방제역할모델을 제시하고자 한다. 1단계 역할정립단계에는 정부와 민간부문의 역할정립 및 오염행위자 방제실시의 원칙성을 제고하고, 2단계 산업육성 단계에는 각 부문별 장 단점을 인정하고 의도적으로 산업계의 발전을 도모해야 한다. 3단계 감독단계부터는 오염행위자 방제실시 여부에 따른 엄격한 책임강조 및 관리 감독을 실시한다. 4단계 해석단계는 양적 질적 성장된 방제산업계에 대한 정부의 올바른 평가 및 지도가 이뤄져야 한다. 5단계 상호의존단계는 민 관의 서로의 입장을 충분히 고려해 의존적이며 수평적인 관계를 형성한다. 6단계 독립단계는 정확하게 구분된 역할에 따른 자생 및 성장을 도모하는 단계이다. 6단계의 발전단계를 거침으로써 영세한 방제산업의 활성화 및 정부와 민간 부문의 정확한 역할을 구분을 통한 지속적인 성장을 도모할 것으로 사료된다.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.531-536
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• 2024

Control drones, which are recently classified as smart agricultural machines in the agricultural field, are striving to build smart control and automatic control systems by combining hardware and software in order to shorten working hours and increase the effectiveness of control in the aging era of rural areas. In this paper, the characteristics of the nozzle dedicated to the control drone were analyzed as a basic study for the establishment of management control and automatic control systems. In order to consider various variables such as the type of various drone models, controller, wind, flight speed, flight altitude, weather conditions, and UAV pesticide types, related studies are needed to be able to present the drug spraying criteria in consideration of the characteristics and versatility of the nozzle. Therefore, to enable the consideration of various variables, flow analysis (CFD) simulation was conducted based on the self-designed nozzle, and the theoretical and experimental values of the droplet distribution were compared and analyzed through water reduction experiments. In the future, we intend to calculate accurate scattering in consideration of various variables according to drone operation and use it in management control and automatic control systems.

• The Korean Chronic Disease News
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• no.314
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• pp.1-26
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• 2007

강원도 횡성군 보건소 염경숙 소장/대대적 국가암관리사업 추진/노인장기요양보험 3차 시범 내달 시행/만성질환 예방의식 고취 총력/65세 이상 노인 30%가 당뇨 환자/성인 3명 중 1명 중증 안구건조증 환자/“감 잘못 먹으면‘위석’생긴다”/방문보건.재가복지통합사업 성과 커/자율방역봉사단 구성 맞춤형 모기방제 실시/보건의료투자 전략, 어떻게 추진되나/고령친화 모델지역 기본 구상/생명표 작성, 국민건강실태 분석/

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.05a
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• pp.1-1
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• 2018

위험 유해물질(Hazardous and Noxious Substances) 과 유출에 및 그 대응 기술에 관한 연구는 활발히 이루어졌지만 HNS 선박 승무원 안전 관리 연구는 미흡한 면이 있다. 승무원은 HNS 사고를 미연에 예방하고, 대비할 수 있을 뿐만 아니라 사고의 초등 대응 책임자로서 재해 감소에 큰 역할을 할 수 있다. 본 연구에서는 승무원 재해를 분류 및 구조화하고 Risk 평가하였다. 현 HNS 선박의 방제자원을 분석하여 승무원 Risk를 기반으로 사고 초기 대비 대응력 강화를 위한 방안을 제시하였다. 연구결과를 바탕으로 HNS 선박의 방제자원 모델 개발을 위한 연구를 수행해 나갈 예정이다.

• Journal of Navigation and Port Research
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• v.39 no.1
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• pp.23-28
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• 2015

This paper is to identify the dynamic phenomenon of the marine pollution management that is connected directly or indirectly by using system dynamics analysis. The method used herein is based on system dynamics analysis that analyzed the sub-systems for marine pollution management. Furthermore designed feedback loop between system elements. And made total casual map of marine pollution management. The main results of the paper are the following : 1. It's necessary to equipments and technology development and law revision for feedback loop slump of initial measures delay in oil spill. 2. It should be come up with partnerships and new business for community corrosion non-proliferation caused by social conflicts. 3. Marine pollution management should be an obligation that must be minimized to include social conflicts in the community and national levels besides oil spill response on-site. This model confirmed the hidden cause of delay by existing response plans, manuals and programs. And oil spill response in broader sense is more important from now on. The result can be useful in the guidance of marine pollution and management.

• Journal of the Korean Society for Marine Environment & Energy
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• v.19 no.4
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• pp.322-331
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• 2016

Oil budget calculator identifies the removal pathways of spilled oil by both natural and response methods, and estimates the remaining oil required response activities. A oil budget calculator was newly developed as a response tool for Deepwater Horizon oil spill incident in Gulf of Mexico in 2010 to inform clean up decisions for Incident Comment System, which was also successfully utilized to media and general public promotion of oil spill response activities. This study analyzed the theoretical background of the oil budget calculator and explored its future application to Korea. The oil budge calculation of four catastrophic marine pollution incidents indicates that 3~8% of spilled oil was removed mechanically by skimmers, 1~5% by in-situ burning, 4.8~16% by chemical dispersion due to dispersant operation, and 37~56% by weathering processes such as evaporation, dissolution, and natural dispersion. The results show that in-situ burning and chemical dispersion effectively remove spilled oil more than the mechanical removal by skimming, and natural weathering processes are also very effective to remove spilled oil. To apply the oil budget calculator in Korea, its parameters need to be optimized in response to the seasonal characteristics of marine environment, the characteristics of spilled oil and response technologies. A new algorithm also needs to be developed to estimate the oil budget due to shoreline cleanup activities. An oil budget calculator optimized in Korea can play a critical role in informing decisions for oil spill response activities and communicating spill prevention and response activities with the media and general public.

• Research in Plant Disease
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• v.30 no.3
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• pp.256-267
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• 2024

We have developed FBcastS (Fire Blight Forecasting System), a cloud-based information system that leverages the K-Maryblyt forecasting model. The FBcastS provides an optimal timing for spraying antibiotics to prevent flower infection caused by Erwinia amylovora and forecasts the onset of disease symptoms to assist in scheduling field scouting activities. FBcastS comprises four discrete subsystems tailored to specific functionalities: meteorological data acquisition and processing, execution of the K-Maryblyt model, distribution of web-based information, and dissemination of spray timing notifications. The meteorological data acquisition subsystem gathers both observed and forecasted weather data from 1,583 sites across South Korea, including 761 apple or pear orchards where automated weather stations are installed for fire blight forecast. This subsystem also performs post-processing tasks such as quality control and data conversion. The model execution subsystem operates the K-Maryblyt model and stores its results in a database. The web-based service subsystem offers an array of internet-based services, including weather monitoring, mobile services for forecasting fire blight infection and symptoms, and nationwide fire blight monitoring. The final subsystem issues timely notifications of fire blight spray timing alert to growers based on forecasts from the K-Maryblyt model, blossom status, pesticide types, and field conditions, following guidelines set by the Rural Development Administration. FBcastS epitomizes a smart agriculture internet of things (IoT) by utilizing densely collected data with a spatial resolution of approximately 4.25 km to improve the accuracy of fire blight forecasts. The system's internet-based services ensure high accessibility and utility, making it a vital tool in data-driven smart agricultural practices.

• Journal of Korean Society of societal Security
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• v.2 no.1
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• pp.65-74
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• 2009

In this study, the air pollution management system based GIS has been developed to estimate the emission rate and air pollution modeling of air pollutants, effectively. This system is able to estimate emission rate of air pollutant and to analyze the emission characteristics with high spatial and temporal resolution. air pollution modeling. The air pollution management system was applied to Gwangyang Bay including large industry complex with a large number of emission sources. The air pollution management system was constructed using the spatial database of emission sources in Gwangyang Bay. It was found that the estimated emission rates of air pollutants is similar to the emission characteristics in Gwangyang Bay. Also, the spatial distribution of pollutants was similar to the location of emission sources. The predicted results of air pollution model was showed a good correlation coefficient (0.75) for TSP. The air pollution management system is expected to be effective tool (database system (GIS)) for the management and the control of air pollution.