• 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.

• Korean journal of applied entomology
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• v.59 no.3
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• pp.203-207
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• 2020

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 2019. A total of 12,285 traps/visual scouting were investigated in 288 points of 87 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 have been carried out from 2018, and we established the nationwide monitoring system and secured a bridgehead for monitoring invasive insect pests passing the border.

• 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.

• Korean journal of applied entomology
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• v.58 no.3
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• pp.183-187
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• 2019

To establish the cooperative monitoring network which can investigate introductions or outbreaks of high risk insect pests into Korea, seven universities, Gyeongsang National University, Kunsan National University, Seoul National University, Sunchon National University, Andong National University, Jeju National University, and Chungbuk National University, carried out seven regions' monitoring about nine high risk insect pests, Aceria diospyri, Bactrocera dorsalis, Bactrocera minax, Bactrocera tsuneonis, Cydia pomonella, Lobesia botrana, Proeulia sp., Solenopsis invicta, Stephanitis takeyai, from June to October in 2018. A total of 7,560 traps/visual scouting were investigated in 315 points of 105 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. From this study, we established the nationwide monitoring system which can early detect high risk insect pests and secured a bridgehead for monitoring invasive insect pests passing the border.

• 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.

• Korean journal of applied entomology
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• v.42 no.1
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• pp.57-63
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• 2003

Accurate forecasting of occurrence time and abundance of insect pests is essential for developing technology of integrated pest management system. Digital image processing algorithms were utilized to automatically recognize rice planthoppers which are major insect pests in the rice cultivation field and were subsequently used to estimate densities in the field for efficient forecasting of insect pests. To the images taken in the rice field, image decomposition, top-hat transformation, threshold, and minimum and maximum filter were implemented for patterning individually the brown planthopper specimens attached at the bottom area of rice stems. In average 95.8cio of images were correctly recognized for estimating densities by the developed system, and the recognition rate was higher than that obtained from direct observations by experienced observers. Furthermore, the size of the recognized specimens was measured and was used for estimating the age structure in the observed brown planthopper populations.

• 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.

• Korean journal of applied entomology
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• v.41 no.2
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• pp.129-136
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• 2002

Agamermis unka, a mermithid parasite of brown planthopper (BPH), Nilaparvata lugens, is the most important natural enemy of BPH and white-backed planthopper (WBPH), Sogatella furcifera in Korea. Distribution of A. unka was investigated in Korean rice fields from 1992 to 1998 and in 2001. Overwintering population of A. unka in Gosung, Namhae, and Tongyoung from 1992 to 1998 was different depending on locality and year. In the survey of A. tanka distribution in the spring of 2001, A. unka was found only at Jangheung and Haenam in Jeonnam province and Namhae, Jinju, Sancheong, Sacheon, Gosung, Tongyoung, Uiryeong, Changwon, Gimhae, and the experimental field of Gyeongsangnamdo Agricultural Research and Extension Services at Jinju in Gyeongnam province out of 30 observed regions in 5 provinces. The number of A. unka was 1,045/㎥ at Namhae, 947/㎥ at the experimental field of Gyeongsangnamdo Agricultural Research and Extension Services, and 395/㎥ at Gosung. Density of A. unka at the rice paddies of Gyeongnam province after harvest in 2001 was higher at the rice fields of Namhae, Gosung, and the experimental field of Gyeongsangnamdo Agricultural Research and Extension Services. Although density of A. unka was higher in the pesticide-untreated plots than fungicide-treated or insecticide-treated plots of forecasting paddies, there were no significant differences. After rice harvest A. unka was found from the forecasting paddies of Gosung, Jinju, Namhae and Sacheon out of 19 observed localities in Gyeongnam province.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.7 no.3
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• pp.218-220
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• 2002

현재 국립수산과학원에서 실시하고 있는 해양조사는 크게 연안 정지 해양관측, 정선 해양관측, 해양오염측정망관측, 적조예찰 및 조사 등이 있다. 수집된 조사자료는 국립수산과학원 홈페이지(http://www.nfrdi.re.kr/)에 제공하고 있다.

• 동물약계
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• no.18
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• pp.3-4
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• 1995

1. 제조(수입)업허가 변경 2. 수출입 통관제도 개선의견 수렴 3. 가축질병 병성감정 실시가관 지정 4. 농축산 자재류 품목현황 조사 5. 제 139차 가축질병 중앙예찰협의회 개최 6. 국가검정기준 개정에 대한 의견 제출 7. 국내 내$\cdot$외부 구충제 견본품 수집 8. 제1차 이사회 개최 9. 동물약사 감시결과 지적사항 10. 동물약품협회 전문위원회명단