• 제목/요약/키워드: pests

검색결과 986건 처리시간 0.025초

벼 기계이앙 및 직파재배에 따른 수도 주요해충의 발생.피해 (Occurrence of Major Insect Pests in Machine Transplanted and Direct Seeded Rice Paddy Field)

  • 이승찬;마경철
    • 한국응용곤충학회지
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    • 제36권2호
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    • pp.141-144
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    • 1997
  • 우리나라 남부지방에서 벼 기계이앙 및 직파재배에 따른 수도 주요해충의 발생피해를 조사한 결과, 끝동매미충, 혹명나방은 기계이앙답에서 다소 많은 발생을 보였으나 벼멸구, 애멸구는 직파재배답에서 더 많은 밸생을 보였다. 그리고 이화명나방, 흰등멸구, 벼줄기굴파리는 그 차이를 인정하기 어려웠다. 조사 해충 모두 기계이앙이나 직파재배보다는 재배시기가 발생 피해에 더 큰 영향을 주었다. 벼멸구, 흰등멸구, 애멸구, 끝동매미충은 재배시기가 늦을수록 발생량이 많았으나, 이화명나방과 혹명나방은 그 시기가 빠를수록 발생피해가 컸다.

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벼 이앙시기 및 시비수준에 따른 수도 주요해충의 발생.피해 (Occurrence of Major Rice Insect Pests at Different Transplanting Times and Fertilizer Levels in Paddy Field)

  • 마경철;이승찬
    • 한국응용곤충학회지
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    • 제35권2호
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    • pp.132-136
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    • 1996
  • 우리나라 남부지방에서 벼 이앙시기 및 시비수준과 주용해충 발생치해와의 관계를 조사한 결과, 조사해충은 모두 시비수준보다 이앙시기가 발생 피해에 더 큰 영향을 주었다. 특히 벼멸구 흰등멸구, 애멸구, 끝동매미충, 벼물기굴파리는 이앙시기가 늦을수록 발생량이 많았으나, 이화명나방, 혹명나방은 이앙시기가빠를수록 발생량도 많았고, 피해도 컸다. 그리고 끝동매미충과 이화명나방을 제외한 해충들은 이앙시기가 늦으면서 질소질비료가 많으며 발생량이 증가하는 경향이었다.

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논 태우기가 논 포장 및 농경지 서식 절지동물에 미치는 영향 평가 (Evaluation of the Effect of Burning Rice Paddy Fields on Arthropods in Rice Paddy Fields and Agricultural Fields)

  • 공민재;전성욱;권경화;송순이;김광호
    • 한국환경과학회지
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    • 제30권12호
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    • pp.993-1003
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    • 2021
  • It is known that the effect of traditional agricultural techniques of burning farmland such as paddy fields and fields gradually declines and affects both the fauna and flora of the rice paddy as well as pests. Therefore, in this study, a study was conducted to investigate the effects of burning rice paddy fields and rice paddy fields levee on the control effect of winter pests inhabiting agricultural land and the amount of pests generated and damaged during the growing season. As a result of this study, the pest control effect of incineration reduces not only the density of pests, but also beneficial insects (natural enemies) and non-reptiles. It is judged that burning has a very low insect control effect. It is expected to be used as basic data to create a sustainable agricultural environment, such as minimizing various negative effects such as pest control effects, wildfires, and air pollution caused by incineration, and suppressing unnecessary incineration and fine dust generation.

후추(Piper nigrum) 열매의 Alkaloids (Alkaloids from fruits of Piper nigrum)

  • 박일권;이학주;이상길;신상철;박지두;최돈하;안용준
    • Journal of the Korean Wood Science and Technology
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    • 제31권5호
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    • pp.88-95
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    • 2003
  • 후추 열매의 MeOH 추출물로부터 silica gel 및 preparative HPLC 칼럼 크로마토그라피를 이용하여 5종의 알카로이드 화합물을 단리하였으며, NMR, MS 등의 기기분석 결과, N-isobutyl amide alkaloids인 pellitorin (I)를 비롯하여, quineensine (II), pipercide (III), retrofractamide A (IV)과 piperidine alkaloid인 piperine (V)으로 각각 동정하였다.

Leveraging Deep Learning and Farmland Fertility Algorithm for Automated Rice Pest Detection and Classification Model

  • Hussain. A;Balaji Srikaanth. P
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제18권4호
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    • pp.959-979
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    • 2024
  • Rice pest identification is essential in modern agriculture for the health of rice crops. As global rice consumption rises, yields and quality must be maintained. Various methodologies were employed to identify pests, encompassing sensor-based technologies, deep learning, and remote sensing models. Visual inspection by professionals and farmers remains essential, but integrating technology such as satellites, IoT-based sensors, and drones enhances efficiency and accuracy. A computer vision system processes images to detect pests automatically. It gives real-time data for proactive and targeted pest management. With this motive in mind, this research provides a novel farmland fertility algorithm with a deep learning-based automated rice pest detection and classification (FFADL-ARPDC) technique. The FFADL-ARPDC approach classifies rice pests from rice plant images. Before processing, FFADL-ARPDC removes noise and enhances contrast using bilateral filtering (BF). Additionally, rice crop images are processed using the NASNetLarge deep learning architecture to extract image features. The FFA is used for hyperparameter tweaking to optimise the model performance of the NASNetLarge, which aids in enhancing classification performance. Using an Elman recurrent neural network (ERNN), the model accurately categorises 14 types of pests. The FFADL-ARPDC approach is thoroughly evaluated using a benchmark dataset available in the public repository. With an accuracy of 97.58, the FFADL-ARPDC model exceeds existing pest detection methods.

Study of Major Insect Pests on Rice and Corn in Four Provinces in Red River Delta of Vietnam During 2018- 2022

  • Thuy Linh Pham;Ohseok Kwon
    • Proceedings of the National Institute of Ecology of the Republic of Korea
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    • 제5권1호
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    • pp.21-27
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    • 2024
  • Harmful pet insects, if not controlled, can negatively affect people, plants and their surrounding environment. In Vietnam, all crops are regularly impacted by pest insects. In serious cases, crops can be totally destroyed by insect pests. Harmful insects that damage crops often grow fast and increase rapidly. Therefore, research on insects is crucial for managing pests, protecting crops, and forecasting pest situation in the following years. This study aimed to collect data regarding changes of pests on rice and corn as two main crops in four provinces in Red River Delta of Vietnam, including Thai Binh, Nam Dinh, Ha Nam, and Hung Yen, from 2018 to 2022. Primary data were collected from reports of government agencies and official statistics. Based on these data, this study evaluated changes of pest insects in five years, discussed reasons for such changes and response methods, and forecasted pest's behavior in the following years. Significant findings of this study include the fact that Vietnam has to face many difficulties to develop its agricultural sector. For insect management, an essential action is to do ground surveys to gather all related data including weather data, pesticide data, crop yield, and product quality. This information is meaningful for finding out causes of changes, understanding relationships between insects and surrounding factors, and predicting the situation in the following years.

Sampling, Surveillance and Forecasting of Insect Population for Integrated Pest Management in Sericulture

  • Singh, R.N.;Maheshwari, M.;Saratchandra, B.
    • International Journal of Industrial Entomology and Biomaterials
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    • 제8권1호
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    • pp.17-26
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    • 2004
  • Pest monitoring through field surveys and surveillance helps in forecasting the population build up of pest. It reduces the load of pesticides application and forms the basis of Integrated Pest Management in sericulture. Common sampling techniques for quantifying pest populations and damage caused by them are reviewed emphasizing the need for quick and simple sampling methods. Various direct and indirect sampling methods for establishing pest populations are discussed and methods have been discussed to use indirect sampling method under IPM programme in sericulture. The use of pheromone lures and traps forms one of the important ingredients of integrated pest management, which calls for integration of all available methods in a cost effective and environmental friendly manner offering consistent efficacy. Silk-worms feed on the variety of silk host plants and spin cocoons. Each silk host plant is attacked in the field by number of insect pest species. Several pests are common to mulberry, tasar, oak tasar, muga and eri host plant but pest status and seasonal abundance differs from each crop. The key pests are serious perennially occurring persistent species which cause considerable yield loss every year on large areas and require control measure. Regular occurrence of minor pest is noticed but sudden increase in its population is not known. The occasional pests are sporadic but potential causing sufficient damage. Silk losses due to attack of all the pests have not been calculated. However, information on pest biology and ecology, and control practices being practiced is available but the period of outbreak of major pests and predators on silkworms and its host plant needs to be reinvestigated. Pest and predators forecasting based on surveillance information may provide an opportunity to minimize the losses, particularly to reduce expenditure involved in pest management.

경남지역 매실에 발생하는 주요해충의 발생소장 (Occurrences of Major Pests in Japanese Apricot, Prunus mume Siebold & Zucc. in Gyeongnam Province)

  • 이흥수;정부근
    • 한국응용곤충학회지
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    • 제50권1호
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    • pp.21-27
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    • 2011
  • 2005년부터 2007년까지 경남 진주, 하동지역 매실에서 25종의 해충이 조사되었다. 붉은테두리진딧물(Rhopalosiphum rufiabdominale(Sasaki)), 외점애매미충(Singapora shinshana M.), 벚나무응애(Tetranychus viennensis Zacher), 복숭아유리나방(Synanthedon hector B.) 등이 주요해충 이었으며, 복숭아꽃바구미(Anthonomus persicae sp. nov.), 복숭아순나방(Grapholita molesta (Busk)), 담배거세미나방(Spodoptera litura F.), 복숭아혹진딧물(Myzus persicae) 등이 일시적으로 발생하는 해충으로 나타났다. 외점애매미충의 발생은 4월 하순부터 10월 하순까지 지속적으로 발생하였고, 벚나무응애는 5월초에 발생하기 시작하여 6월 하순에서 7월 상순사이에 정점에 도달한 후 잎의 섭식조건 악화와 더불어 밀도가 감소하였다. 복숭아유리나방은 6월 중순 뚜렷한 발생최성기를 보인 후 7월 상순부터 8월 상순사이 기간에 발생이 거의 없었다가 9월 초중순에 뚜렷한 2차 발생최성기를 보였다. 복숭아꽃바구미는 매실 개화 전 꽃눈에서 발생하였고, 그 이후 4월~5월초에 우화 성충이 관찰되었다.

잔디 재배지 발생 해충 종류 (Insect Pests in Turf Sod Production Areas in Korea)

  • 이채민;권오경;이광수;이상명;최성환;이동운
    • Weed & Turfgrass Science
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    • 제3권2호
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    • pp.114-120
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    • 2014
  • 우리나라 잔디재배지역에 발생하는 잔디 해충을 알아보기 위하여 조사를 수행하였다. 6목 7과 12종의 해충과 한 종의 Eriophyidae 응애류인 잔디혹응애(Aceria zoysiae)가 잔디 재배지에서 채집되었다. 잔디혹응애는 한국잔디류(Zoysia spp.) 재배지에서 가장 빈번하게 발생하였고, 피해율은 5월에서 9월로 갈수록 증가하였다. 나비목 밤나방과 해충인 잔디밤나방(Spodoptera depravata)과 검거세미나방(Agrotis ipsilon), 거세미나방(A. segetum), 포충나방과 해충인 포충나방류(Crambus sp.)가 검거세미나방 성페로몬트랩에 유인되었다. 검거세미나방 알과 유충은 8월에 가장 많이 발생하였다. 잔디혹응애와 잔디밤나방이 우리나라 잔디 재배지에서 가장 중요한 해충이었다.

Tolerance: An Ideal Co-Survival Crop Breeding System of Pest and Host in Nature with Reference to Maize

  • Kim, Soon-Kwon
    • 한국작물학회지
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    • 제45권1호
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    • pp.59-70
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    • 2000
  • In nature, plant diseases, insects and parasites (hereafter called as "pest") must be co-survived. The most common expression of co-survival of a host crop to the pest can be tolerance. With tolerance, chemical uses can be minimized and it protects environment and sustains host productivity and the minimum pest survival. Tolerance can be applicable in all living organisms including crop plants, lifestocks and even human beings. Tolerant system controls pest about 90 to 95% (this pest control system often be called as horizontal or partial resistance), while the use of chemicals or selection of high resistance controls pest 100% (the most expression of this control system is vertical resistance or true resistance). Controlling or eliminating the pests by either chemicals or vertical resistance create new problems in nature and destroy the co-survial balance of pest and host. Controlling pests through tolerance can only permit co-survive of pests and hosts. Tolerance is durable and environmentally-friend. Crop cultivars based on tolerance system are different from those developed by genetically modified organism (GMO) system. The former stabilizes genetic balance of a pest and a host crop in nature while the latter destabilizes the genetic balance due to 100% control. For three decades, the author has implemented the tolerance system in breeding maize cultivars against various pests in both tropical and temperate environments. Parasitic weed Striga species known as the greatest biological problem in agriculture has even been controlled through this system. The final effect of the tolerance can be an integrated genetic pest management (IGPM) without any chemical uses and it makes co-survival of pests in nature.in nature.

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