• The Bimonthly Magazine for Agrochemicals and Plant Protection
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• v.11 no.3 s.96
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• pp.10-14
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• 1990

유기농업은 농작물의 재배에 있어서 농약 및 화학비료등의 사용을 거부하고 퇴비와 인력, 기계력만으로 농작물을 가꾸려는 재배법을 말한다. 현재 지구의 인구는 해마다 1억씩 불어나고 있다. 지금 유기농업으로 되돌아 간다면 틀림없이 인류의 45억 이상이 굶어죽게 될 것이다.

• Plant Disease and Agriculture
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• v.4 no.1
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• pp.45-50
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• 1998

• Life and Agrochemicals
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• s.260
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• pp.18-21
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• 2010

농작물 병해충 예찰 및 발생정보 발표는 발생 실태와 발생 가능성을 미리 살펴서 그결과를 농업인과 관계기관에 널리 알려 적절한 조치를 취하도록 하는 일이다. 한마디로 말하면 일을 키워서 가래로 막는 우를 범하지 말자는 것이다.

• Journal of the Korean earth science society
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• v.34 no.6
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• pp.515-523
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• 2013

The eastern coast of South Korea is expected to be damaged by volcanic ash when Mt. Baekdusan volcano erupts. Even if the amount of volcanic ash is small, it can be fatal on the agricultural sector withering many plants and causing soil acidification. Thus, in this paper, we aim to estimate agricultural losses caused by the volcanic ash and to visualize them with Google map. To estimate the volcanic ash losses, a damage assessment model is needed. As the volcanic ash hazard depends on the kind of a crops and the ash thickness, the fragility function of damage assessment model should represent the relation between ash thickness and damage rate of crops. Thus, we model the fragility function using the damage rate for each crop of RiskScape. The volcanic ash losses can be calculated with the agricultural output and the price of each crop using the fragility function. This paper also represents the estimated result of the losses in Gangwon province, which is most likely to get damaged by volcanic ashes in Korea. According to the result with gross agricultural output of Gangwon province in 2010, the amount of volcanic ash losses runs nearly 635,124 million wons in Korean currency if volcanic ash is accumulated over four millimeters. This amount represents about 50% of the gross agricultural output of Gangwon province. We consider the damage only for the crops in this paper. However, a volcanic ash fall has the potential to damage the assets for a farm, including the soil fertility and installations. Thus, to estimate the total amount of volcanic ash damage for the whole agricultural sectors, these collateral damages should also be considered.

• 농업기술회보
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• v.49 no.4
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• pp.24-25
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• 2012

최근 한반도의 기후변화 진행속도는 세계평균의 2배 이상을 웃돌며 외국에 비해 기상재해 발생 가능성이 증가하고 있다. 태풍, 집중호우 등 풍수해가 증가하면서 상시화되는 경향을 보이며 강수량 증가로 호우피해가 확대되고 있다. 1월 한파, 2~3월에는 일조부족, 3~4월 저온, 5~6월 우박과 강수랑 부족으로 일부지역에서 농작물 가뭄피해가 발생했다. 여름철을 맞아 집중호우, 태풍, 폭염에 대비한 농작물 관리요령을 알아보자.

• Life and Agrochemicals
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• s.258
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• pp.26-29
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• 2010

저항성 품종 이용, 태양열 소독, 윤작, 침수법, 다양한 선충병 방제 방법을 토대로 농가 실정과 작부체계를 고려해서 우리나라에 맞는 방제 기술을 개발하고 농가에 보급함으로써 피해를 최소화하고 연작장해의 문제를 해결해야 할 것이다.

• Journal of Korean Society of Forest Science
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• v.103 no.2
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• pp.307-312
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• 2014

Wild boar have increased in recent years in Korea where damage to agricultural crops is considered as a social issue. The ecological studies on wild boar are essential for the effective management in the future. During May and December 2012, We collected 79 wild boar stomach samples from culling program implementation to reduce agricultural damage in Geochang County and analyzed stomach contents to figure out wild boar diet habit and which crop was preferred. There was seasonal variation in the diet. Plant foods represented up to 93.5% of the diet and were consumed more frequently than animal foods. Invertebrates occurred with high frequency but were underestimated in dry weight because they are rapidly digested. Agricultural crops consumed comprised mainly chestnuts(33%), rice(33%), and apples(24%). Agricultural crops are also a potentially important food resources for wild boar. The frequency of occurrence of earthworms was 50% of diet. Earthworm consumption generally increased in summer, and then decreased in winter. Our results show that wild boar can be considered an omnivore whose diet consists of plant and animal foods. To reduce wild boar agricultural damages, We have to focus on the prevention effort to rice paddy adjacent to chestnut forest and to apple orchard.

• Spatial Information Research
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• v.13 no.4 s.35
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• pp.365-372
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• 2005

In North Korea, there has been the considerable loss of human lives every year due to the deficiency of foods. Thus, in order to reduce such damages, a research project should be launched to provide various information for cooperation with North Korean government, and to develop proper agricultural information management system. Therefore, this research is mainly to develop North Korean Agricultural Information Management System (NKAIMS), which can collect, manage and analyze agricultural information and water resources utilization status of North Korea, and further support to make relevant decisions and establish the agricultural land-use plans. This research has three phases. The major outcome of the first phase is collecting the agricultural and water resources utilization data such as soils, rivers, streams, collective farms, etc., designing and building database, and developing integrated management system considering the users' requirements. The main work of the second phase is improving and reinforcing database such as adding the information of dams, land-over data, bridges, tunnels, satellite images, etc., inspecting and renewing such as importing detail attribute information of reservoirs, and improving system for more conveniently using. The third phase will be to supplement more useful functions such as statistic analysis, continually inspecting and improving database, and developing web-based system. The product of this research supports collecting and analyzing relevant data to facilitate easier agricultural activities and support effective decision making for food production in the preparation of unification. Moreover, through designing database considering sharing information and system expendability, it can support systematic data usability of agricultural information and save cost for data management.

• Korean Journal of Environment and Ecology
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• v.32 no.2
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• pp.140-146
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• 2018

Wild boars have expanded their habitats in Korea in recent years and caused serious social problems such as crop damage and appearance in urban areas. This study was carried out from May to October 2012 to investigate the environmental factors that affect crop damage based on actual cases reported in Geochang County of Gyeongnam Province, Korea. The analysis showed that the damages by wild boars occurred mainly between August and September, and rice was damaged most often while sweet potatoes were damaged most intensely. The results indicated that the damages were related to the wild boars' preference of crop and the seasonal availability of crops. Other factors that affected the crop damage included the slope, the topographic relief, and the distances from forest, stream, road, and residential area. There was no significant difference of environmental factor according to damage intensity, suggesting that the wild boars tended to attack the same cropland repeatedly and thus accumulating the damage. Our study suggests that reducing crop damages by wild boars will require cultivating crops less preferred by wild boars, installing electric fences, and controlling wild boar population with hunting and trapping.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.3
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• pp.107-119
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• 2019

As the development of ICT and integration technology, many changes and innovations in agriculture field are implemented. The agricultural sector has shifted from a traditional industry to a new industrial form called the 6th industry combined with various advanced technologies such as ICT and IT. Various approaches have been attempted to analyze and predict crops based on spatial information. In particular, a variety of research has been carried out recently for crop cultivation and smart farms using drones. The goal of this study was to establish an agricultural drought monitoring system using drones to produce scientific and objective indicators of drought. A soil moisture sensor was installed in the drought area and checked the actual soil moisture. The soil moisture data was used by the reference value to compare and analyze the temperature and NDVI established by drones. The soil temperature by the drone thermal image sensor and the NDVI by the drone hyperspectral was analyzed the correlation between crop condition and soil moisture in study area. To verify this, the actual soil moisture was calculated using the soil moisture measurement sensor installed in the target area and compared with the drone performance. This study using drone drought monitoring system may enhance to promote the crop data and to save time and economy.