• Research in Plant Disease
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• v.8 no.2
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• pp.84-91
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• 2002

Disease forecasting in Korea was first studied in the Department of Fundamental Research, in the Central Agricultural Technology Institute in Suwon in 1947, where the dispersal of air-borne conidia of blast and brown spot pathogens in rice was examined. Disease forecasting system in Korea is operated based on information obtained from 200 main forecasting plots scattered around country (rice 150, economic crops 50) and 1,403 supplementary observational plots (rice 1,050, others 353) maintained by Korean government. Total number of target crops and diseases in both forecasting plots amount to 30 crops and 104 diseases. Disease development in the forecasting plots is examined by two extension agents specialized in disease forecasting, working in the national Agricul-tural Technology Service Center(ATSC) founded in each city and prefecture. The data obtained by the extension agents are transferred to a central organization, Rural Development Administration (RDA) through an internet-web system for analysis in a nation-wide forecasting program, and forwarded far the Central Forecasting Council consisted of 12 members from administration, university, research institution, meteorology station, and mass media to discuss present situation of disease development and subsequent progress. The council issues a forecasting information message, as a result of analysis, that is announced in public via mass media to 245 agencies including ATSC, who informs to local administration, the related agencies and farmers for implementation of disease control activity. However, in future successful performance of plant disease forecasting system is thought to be securing of excellent extension agents specialized in disease forecasting, elevation of their forecasting ability through continuous trainings, and furnishing of prominent forecasting equipments. Researches in plant disease forecasting in Korea have been concentrated on rice blast, where much information is available, but are substan-tially limited in other diseases. Most of the forecasting researches failed to achieve the continuity of researches on specialized topic, ignoring steady improvement towards practical use. Since disease forecasting loses its value without practicality, more efforts are needed to improve the practicality of the forecasting method in both spatial and temporal aspects. Since significance of disease forecasting is directly related to economic profit, further fore-casting researches should be planned and propelled in relation to fungicide spray scheduling or decision-making of control activities.

• Journal of the Korean Association of Geographic Information Studies
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• v.13 no.1
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• pp.28-34
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• 2010

The spatial distribution characteristics of damaged trees by the pine wilt disease appear scattered spots spreading from single dead trees. That is the reason why it is difficult to early detect damage and to prevent from extensive damage. Thus, it is very important to forecast and analyze the damage occurrences, to establish strategies for prevention, and to supervise them. However, conventional survey which observes around roads or residential areas by naked eyes was impossible to investigate completely, missing target areas and dangerous areas. Therefore, aerial forecasting techniques on the damaged area were developed using GIS, GPS, and helicopters for an accurate observation of systematic and scientific approach in this study. Moreover, advantages of the techniques application were confirmed to survey 972 dead tree samples at 349 position-coordinates in 32 cities (about $28,810km^2$), 2005. This study is expected to apply widely to find dead trees and the causes, particularly by pine wilt disease.

• Agrochemical news magazine
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• v.22 no.4 s.167
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• pp.8-12
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• 2001

• KAPE Magazine
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• s.146
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• pp.6-7
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• 2008

2005년 이전 OIE 위생규약상 BSE 예찰기준은 성우(24개월령 이상) 사육규모별로 BSE 유사 임상증상을 보이는 임상의심축을 일정 두수 검사하도록 권고하였으며, 우리나라는 당시 사육규모 당 99두의 임상의 심축만을 검사하면 동 기준을 충족했다. 그러나 OIE의 BSE 예찰기준은 2004년 EU 전염성해면상 뇌증(TSE) 연합 표준 실험실(Community Reference Laboratory, CRL)인 영국 수의연구청에 의해 개발된 BSurvE model과 동모델에 대한 회원국의 의견에 기초하여 2005년 이전의 두수제에서 점수제로 개정됐다. 우리나라는 점수제를 2007년부터 적용했다.

• Korean Journal Plant Pathology
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• v.12 no.1
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• pp.121-128
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• 1996

농업 기상 자료의 수집 및 식물병 예찰 절차를 통합한 시스템을 -32비트 개인용 컴퓨터 운영 체계인 OS/2에서 개발하였다. 통합 시스템은 무인기상관측기(AWS)로부터 자료 수집을 하는 절차, 준실시간 기상자료로부터 병예찰을 하는 절차, 기상 정보와 병예찰 정보를 글과 그림으로 출력하는 절차의 세 부분으로 나뉘어 있다. 통합 시스템은 여러 지역의 실시간 기상 자료를 수집하며 기상 자료를 이용하여 각 지역의 병예찰 정보를 즉시 생성한다. 본 연구에서는 기상 자료를 이용한 병예찰 모형의 예로서 도열병 예찰 시뮬레이션 모형을 사용하였다. 또한 식물병 예찰을 위하여 무인기상관측기가 갖추어져야 하는 최소한의 요구 사항을 검토하였다. 본 시스템은 각종 식물병 예찰 모형의 개발과 관련하여 각 모형의 구동을 위하여 쓰여질 수 있을 것이다. 현재 각 농촌진흥원과 지도소에는 많은 수의 무인기상관측기가 설치되어 있으므로 이를 이용하여 본 시스템을 실용화 할 수 있을 것이다.

• Agrochemical news magazine
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• v.23 no.2 s.175
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• pp.18-21
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• 2002

• 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.

• Korean journal of applied entomology
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• v.60 no.4
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• pp.357-361
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• 2021

Monitoring about nine high risk insect pests, Aceria diospyri, Bactrocera dorsalis, Bactrocera minax, Bactrocera tsuneonis, Cydia pomonella, Lobesia botrana, Proeulia sp., Solenopsis invicta and Stephanitis takeyai, were carried out in seven regions from April to October in 2020. A total of 12,045 traps/visual scouting were investigated in 222 points of 78 local sites of seven regions, resulting the nine species, A. diospyri, B. dorsalis, B. minax, B. tsuneonis, C. pomonella, L. botrana, Proeulia sp., S. invicta, and S. takeyai, were not detected. This study has been conducted from 2018 to 2020, and we established the nationwide monitoring system and secured a bridgehead for monitoring invasive insect pests passing the border including seven universities.

• Research in Plant Disease
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• v.16 no.1
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• pp.66-73
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• 2010

Field trials were conducted in Suwon, Andong, Bongwha and Taean to evaluate an anthracnose forecaster in the integrated pest management system (IPM) including anthracnose, Phytophthora blight and tobacco budworm for hot pepper in 2008-2009. Percentage of diseased fruits by pepper anthracnose and yield were compared among three treatments, no-fungicide, forecaster and conventional. The incidence and yield of the forecaster at Bongwha on two varieties were 3.1-3.5% and 30-33 kg/40 plants. These were little less than those of the conventional's 0.3-0.8% and 35-36 kg/40 plants and much higher than those of the no-fungicide's 23-27% and 18-24 kg/40 plants. The number of spray at the forecaster was 5 times, whereas those at the conventional was 11-19 times depending on the farmers. In addition, the results of an anthracnose forecaster at the other three field trials allowed in protecting hot pepper from anthracnose while reducing the amount of pesticides used and the total cost of the pathogen control. However, it is needed to improve for anthracnose forecaster when anthracnose pressure was high such as Taean where 60-80% of the incidence. Because the control values of the forecaster at Taean were between those of no-pesticide and conventional treatment at best. If anthracnose is severe early in the season, additional preventive control should be considered when the fruits were fully grown yet.

• Journal of Mushroom
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• v.16 no.1
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• pp.57-60
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• 2018

Agricultural sticky traps are used for forecasting flying insects, including fungus gnat adults. Forecasting using sticky trap is an important measure to determine pesticides or environmentally friendly control means. Sticky traps of various colors can be installed easily and quickly. The yellow sticky trap is most effective for forecasting fungus gnat adults. In addition, they are used for control purposes by mass trapping. We tested the optimum installation height of yellow sticky traps to forecast and control the fungus gnat adults effectively in the cultivation of mushroom and horticultural plants. The number of captured fungus gnat adults was highest on the second floor for button mushroom and oyster mushroom, 100 cm above the floor for sawdust shiitake mushroom, 20 cm under the floor for hydroponic strawberry, and 20 cm above the floor for hydroponic tomato. This suggests that sticky trap height should be installed differently depending on the cultivation type or environment for effective forecasting and control of fungus gnat adults.