• 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.

• 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 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

• Korean journal of applied entomology
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• v.38 no.3
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• pp.231-240
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• 1999

The long-term tend an pattern changes of Chilo suppressalis(Walker) occurrence in Suwon were analyzed and the forecasting models for spring emergence of C. suppressalis in Suwon were developed. From 1965 to 196, the population dynamics of C. suppressalis in Suwon shows a cyclic fluctuation with one large peak an one small peak, and its periodicity was ca. 36 generations(18 years). C. suppressalis population dynamics in Suwon was characterized as controlled by the endogenous dynamics dictated by the 1st order negative feedback mechanism (fast density dependence). The dynaics mechanism of C. suppressalis populations was not changed although its population density decreased drastically over the years. Using th dta of C. suppressalis spring occurrence in Suwon, forecasting models for spring emergence of C.supressalis were developed based on temperature-dependent development model or degree days. In general, these models well described the C. suppressalis spring emergence pattern in Suwon. Also, forecasting problems in spring moth emergence related with C. suppressalis population dynamics were discussed.

• Proceedings of the Korea Multimedia Society Conference
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• 1998.04a
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• pp.16-21
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• 1998

농작물 병해충의 발생에 대한 실시간 정보의 제공은 병해충으로부터 농작물 피해를 최소화하는데 매우 중요하다. 이를 위해서는 농작물 병해충 발생 정보를 실시간으로 수집하여, 다양한 형태로 가공한 후 병해충 발생 예찰 정보를 제공하는 정보 시스템의 개발이 필요하다. 본 논문은 인터넷 환경에서 국내외에 분포되어 있는 농작물 병해충 예찰소에서 관측·조사된 병해충 관련 정보를 실시간으로 입력받아 객체 관계형 데이터베이스에 체계적으로 저장하고 사용자 질의에 따라 병해충 발생 정도 및 분포 정보를 다양한 형태로 제공하는 병해충 예찰 정보 시스템 (Pest Monitoring System : ReMoS)을 개발한 내용을 기술한다.

• Monthly Duck's Village
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• v.63 no.9
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• pp.42-51
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• 2008

AI방역체계가 상시방역체계로 전환됨에 따라 상시방역 예찰프로그램이 본격적으로 가동되기 시작했다. 농림수산식품부는 최근 2008년도 하반기 AI예찰 시행계획을 발표했다. 시행계획에 따르면 예찰기간은 8월부터 오는 12월까지이며 과거 발생지역인 13개 시.군을 포함해 올해 발생지역 19개시군 및 야생조류에서 항체항원이 분리된 5개 지역을 집중관리지역으로 임상예찰이 중점적으로 시행된다. 또 종오리 및 육용오리 농가들의 경우 분기별로 검사를 실시하며 전국 철새도래지 41개소에 대해서는 매월 포획 및 분변검사를 실시하다. 또 재래시장에서 유통되고 있는 가금류에 대한 검사와 함께 집중 관리지역 및 철새도래지 인근 돼지 사육농가에 대해서도 AI 검사를 실시한다는 방침이다. 종오리 농장의 경우 전국 84개소에 대해 매일 1회 전화조사 및 사료.음수 섭취량과 산란을 저하 등의 일지를 작성 매월 실적을 방역당국에 제출해야 한다. 또 종오리 농장 및 육용오리 농장은 9월 마지막주에서 10월 둘째주에 1차, 12월 10일-12월 31일까지 2차로 채혈검사가 실시된다. 이와 함께 전국 철새도래지 등 야생조류 분변에 대한 모니터링 검사와 함께 포획검사도 실시된다. 재래시장 유통 가금류에 대해서는 전국 80여개 상설시장에서 시료를 채취해 검사를 실시하고 위험지역 및 철새도래지 반경 15km 이내의 돼지농장도 검사대상에 포함된다. 이 밖에도 관산용 및 전시용 조류 사육농가에 대한 검사도 실시되며 2006년부터 올해까지 HPAI가 발생됐던 국가에서 수입된 가축사료용 수입 원료에 대해서도 항원 검사를 실시한다.

• 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.

• Life and Agrochemicals
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• s.310
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• pp.24-27
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• 2015

• The Bimonthly Magazine for Agrochemicals and Plant Protection
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• v.1 no.1
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• pp.68-72
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• 1980