• Title/Summary/Keyword: 병해충 관리

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Comprehensive Pest Management Techniques of Organic Cultivation Sweet Persimmon Orchards (유기재배 단감 과수원의 병해충 종합관리기술)

  • Choi, Duck-Soo;Ma, Kyung-Cheol;Ko, Sug-Ju;Kim, Hyo-Jeong;Lee, Jin-Hee
    • Korean Journal of Organic Agriculture
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    • v.25 no.2
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    • pp.445-460
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    • 2017
  • This study was carried out for three years from 2013 to 2015 to investigate the actual condition of pest control of domestic persimmon organically cultivated farmers, to select environment - friendly pest control materials for major pests, and to conduct field test of established control system. The main cultivated cultivar of the reader farmer of organic cultivation was "Buyou" and sprayed organic agricultural material 9~17 times per year for pest control. The most harmful pests were anthracnose, bugs, persimmon fruit worm, and scales, etc. The control materials used were organic lime sulfur mixture, red clay sulfur, emulsifier, bordeaux solution, and self-made plant extracts using garlic, ginkgo nut and pine tree. The effective materials for controlling anthrax were lime sulfur mixture and red clay sulfur. Garlic oil + citronella emulsion, shrubby sophora seed extract + tea extract was effective to control Riptortus clavatus and Euproctis subflava. When installed 60 ea per 10a of mating disruption trap in a sweet orchard, the fruit setting rate was improved by 30%. The results of field test of control system to control 10 times a year in organically grown persimmons were able to harvest fruit of 70.7%. However, since any kinds of pesticides can not be sprayed during the harvest season in September and October, the damaged by bugs did not decreased, and further research is needed.

친환경농업 - 잡곡해충관리는 태양광트랩으로

  • Bae, Sun-Do
    • 농업기술회보
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    • v.49 no.5
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    • pp.19-20
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    • 2012
  • 잡곡은 현대인이 걸리기 쉬운 고혈압, 당뇨, 비만, 고지혈증 등의 생활습관병 예방에 좋은 건강기능성 물질을 풍부하게 함유하고 있어 오늘날 웰빙작물로 각광받고 있다. 그리하여 지난 몇 년간 국내에서 잡곡의 수요와 소비가 크게 증가함에 따라 전국적으로 잡곡 재배단지를 조성하여 잡곡의 안정생산을 위해 많은 노력을 기울이고 있다. 하지만 잡곡재배가 단지화 및 규모화 됨에 따라 지금까지 문제되지 않았던 병해충의 발생이 심화되어 이들을 효과적으로 관리할 수 있는 기술개발의 필요성이 높아졌다. 특히 잡곡의 수량과 품질에 크게 영향을 미치는 나방류, 노린재류, 풍데이류 등의 해충을 친환경적으로 관리하여 잡곡을 안전하게 생산하는 기술은 국산잡곡의 가격경쟁력 제고와 소비자의 신뢰 확보를 위해 매우 중요하다.

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Survey of Diease and Weed Control in Organic and Free-pesticide Cultivation of Chunnam Area 'Ssam' Vegegable (전남지역 쌈채류 무농약.유기재배농가의 잡초, 병해충관리 실태분석)

  • Lim, Kyeong-Ho;Kim, Sun-Guk;Choi, Kyong-Ju;Kim, Do-Ik;Kim, Seon-Gon;Lee, Yong-Hwan
    • Korean Journal of Organic Agriculture
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    • v.15 no.1
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    • pp.109-121
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    • 2007
  • For developing standard method for diease, pest and weed control in environmental friendly 'Ssam' vegetable cultivation, this study was carried out to investigating agriculture material use in organic agriculture and no pesticide cultivation for lettuce, kale, leafy perilla and korean cabbage. The 28.6% of investigated farmer carried out seed sterilization by seed selection with salt solution and soaking in chitosan that not validated. For raising seedling periods, the 55.6% of farmer did not use environmental-friendly agriculture material for, diease control and the 50% of farmer used one time for. pest control. Therefore, the control of disease and pest could be achieved with one or two times use of environmental-friendly agriculture material. Seed sterilization was carried out by soil solar sterilization, one time per year in 71.4% of farmer. Weed was controled by black PE film for weed germination of furrow in many farmer, by man-power weeding for weed of ridge in 85% of farmer and by machine weeding and mulching in some farmer. During cultivation period, the major pest were Aphis gossypii in lettuce, Plutella xylostella in kale, Plutella xylostella and Phyllotreta striolata (Fabricius) in korean cabbage and Pyrausta panopealis (Walke) in feat perilla. The many farmers used environ-mental-friendly agriculture material for control of pest over 10 times for spring season, and more used sold materials in market than home-made materials. In result, it needs to develop standardized method and validate cultivation methods for control of disease and pest, and seed sterilization treatment environmental-friendly 'Ssam' vegetable.

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Discussions on Pesticides Production and Supply in Korea (농약의 생산과 소비의 실태에 관한 고찰)

  • Bai Dai Han
    • Korean journal of applied entomology
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    • v.17 no.2 s.35
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    • pp.115-123
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    • 1978
  • Present status on the pesticides production, supply, manufacture and pests control in Korea are summarized. The data in the past several years (1971-76) are analyzed to find out the problems and solutions for the further development of plant protection and pesticide industry in Korea. Since the acreages of crop plantation and the quantities of pesticides uses are already near to the stage of plateau, pesticide formulation with imported technical grade should be modified by local synthesis with imported quality. The government pesticides management act and regulations must be modernized urgently in connection with the synthesis. formulation, tests, registration, quality control. price and supply system as well as the safety use of pesticides. Recommendation concerning acceptable daily intakes(ADI) and residue limits must be established for the strengthning pesticide safety use and plant protection activities as soon as possible. The use of fungicide-insectide mixture in dust formulation must be authorized and practiced immediately for the labor saving and one-hit cooperative mass control of rice disease and insect pests, especially. At present, serious considerations on pesticide safety use and integrated pest control are strongly urged to help the farmers, to save the industries and to keep the nature as it is required.

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2009친환경유기농자재 관리 어떻게 하나? - 사후관리 강화.세부검토기준 확립.지원사업 개선돼야

  • Lee, Gwang-Ha
    • Life and Agrochemicals
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    • v.30 no.1 s.244
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    • pp.28-31
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    • 2009
  • 현재 목록공시 품목은 토양개량 작물생육용 485종 및 병해충관리용 164종 등 총 649종이다. 그러나 법률규정 및 사후관리가 미흡하고 천연물질 등에 대한 분석이 어려워 품질관리가 쉽지않은 실정이다. 관련업계 및 유관기과, 농업인 단체 등의 지혜를 모아햐 할 때이다.

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Spatial Network Analysis of Pathogen Spread in Korean Rice Farming Areas Using Graph Theory (그래프 이론을 적용한 벼 병원균 확산 공간 연결망 분석)

  • Kang, Wanmo;Lee, Dowon;Park, Chan-Ryul
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.15 no.4
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    • pp.201-209
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    • 2013
  • The spread and expansion of pests and pathogens due to climate change have caused considerable reduction of rice yield in agricultural landscapes. This study was conducted to quantitatively analyze the spread of rice pathogens carried by insect pests on spatial network in South Korea using graph-theoretic methods. We identified the connectivity "backbone" of pathogen spread network among the cities along the coastal area of West Sea. In addition, we graphically represented 1) the core areas that can cause local and regional outbreaks of pathogens; and 2) the areas that act as bottlenecks in the spread of pathogen which can link the core areas. Especially, the cities in the coastal areas of West Sea that have the high density of rice crops, represented a low spread resistance to pathogen infection. These results may suggest insights into planning the integrated pest management possibly through regional collaboration.

A study on the development of an automatic detection algorithm for trees suspected of being damaged by forest pests (산림병해충 피해의심목 자동탐지 알고리즘 개발 연구)

  • Hoo-Dong, LEE;Seong-Hee, LEE;Young-Jin, LEE
    • Journal of the Korean Association of Geographic Information Studies
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    • v.25 no.4
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    • pp.151-162
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    • 2022
  • Recently, the forests in Korea have accumulated damage due to continuous forest disasters, and the need for technologies to monitor forest managements is being issued. The size of the affected area is large terrain, technologies using drones, artificial intelligence, and big data are being studied. In this study, a standard dataset were conducted to develop an algorithm that automatically detects suspicious trees damaged by forest pests using deep learning and drones. Experiments using the YOLO model among object detection algorithm models, the YOLOv4-P7 model showed the highest recall rate of 69.69% and precision of 69.15%. It was confirmed that YOLOv4-P7 should be used as an automatic detection algorithm model for trees suspected of being damaged by forest pests, considering the detection target is an ortho-image with a large image size.