• Title/Summary/Keyword: exotic weed

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Investigation of Weed Flora in Pastures in Jeju Island (제주지역 목초지에 발생하는 잡초양상)

  • Lee, In-Yong;Kim, Chang-Seok;Lee, Jeongran;Hwang, Kyung-Jun;Kim, Kyung-Hoon;Kim, Mi-Seon;Song, Hee-Kun
    • Weed & Turfgrass Science
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    • v.4 no.1
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    • pp.10-17
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    • 2015
  • This study was conducted to investigate the occurrence of weed flora in pastures in Jeju island of Korea and to establish the basic data for controlling them occurred in the pastures. Weed flora was investigated twice, May and July on 2003. There were a total of 207 weed species including 49 families. Among them 67 species were annual, 39 species were biennial and 101 species were perennial. The compositions of major plant families, Asteraceae, Poaceae, Polygonaceae, Rosaceae, Fabaceae were 17, 15, 8, 7, 6%, respectively. Sixty-eight species of exotics were occurred, as well. Rumex obtusifolius was the highest in importance analysis and the followings were in order of Trifolium repens, Artemisia princeps, Plantago asiatica, Potentilla anemonefolia and Rumex acetosella etc. Among the exotic weeds, R. obtusifolius, T. repens, R. acetosella and C. holosteoides var. hallaisanense might be most problematic weeds species in pastures in Jeju island in the future. And at the boundary of some pastures and mountains Smilax china, Duchesnea indica, Rosa maximowicziana, etc. 17 shrub species were also occurred.

Exotic Weeds Classification : Hierarchical Approach with Convolutional Neural Network (외래잡초 분류 : 합성곱 신경망 기반 계층적 구조)

  • Yu, Gwanghyun;Lee, Jaewon;Trong, Vo Hoang;Vu, Dang Thanh;Nguyen, Huy Toan;Lee, JooHwan;Shin, Dosung;Kim, Jinyoung
    • The Journal of Korean Institute of Information Technology
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    • v.17 no.12
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    • pp.81-92
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    • 2019
  • Weeds are a major object which is very harmful to crops. To remove the weeds effectively, we have to classify them accurately and use herbicides. As computing technology has developed, image-based machine learning methods have been studied in this field, specially convolutional neural network(CNN) based models have shown good performance in public image dataset. However, CNN with numerous training parameters and high computational amount. Thus, it works under high hardware condition of expensive GPUs in real application. To solve these problems, in this paper, a hierarchical architecture based deep-learning model is proposed. The experimental results show that the proposed model successfully classify 21 species of the exotic weeds. That is, the model achieve 97.2612% accuracy with a small number of parameters. Our proposed model with a few parameters is expected to be applicable to actual application of network based classification services.

Occurrence Characteristics of Weed Flora in Arable Fields of Korea (우리나라 농경지에 발생하는 잡초 현황)

  • Lee, In-Yong;Oh, Young-Ju;Park, Jung-Soo;Hong, Sun-Hee;Choi, Jun-Keun;Heo, Su-Jeoung;Kim, Eun Jeong;Lee, Chae-Young;Park, Kee Woong;Cho, Seng-Hyun;Kwon, Oh-Do;Im, Il-Bin;Kim, Sang-Kuk;Seong, Deok-Gyeong;Chung, Young-Jae;Kim, Chang-Seog;Lee, Jeongran;Seo, Hyun-A;Jang, Hyung-Mok;Kim, Jin-Won
    • Weed & Turfgrass Science
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    • v.6 no.2
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    • pp.86-108
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    • 2017
  • The nationwide weed survey was conducted in arable land, paddy field, upland, orchard and pasture, over whole country of Korea during 3 years from 2013 to 2015. Also, these survey were conducted in order to determine a change of weed community and to identify a major dominant weed species, and problem weeds. Weeds of arable land were composed of 619 species belonging to 81 families. Weeds occurred in paddy field were 90 species belonging to 28 families, upland weeds were 375 species of 50 families, orchard weeds were 492 species of 63 families and pasture weeds 275 species of 52 families. Among total 81 families, the Asteraceae (15.5%) was the biggest family, followed by Poaceae (13.1%), Fabaceae (5.5%), Cyperaceae (5.2%), Polygonaceae (6.3%), respectively. And these weed species were composed of annual weeds of 209 species (33.8%), winter annual of 102 species (16.4%) and perennial weeds of 308 species (49.8%). Exotic weeds naturalized in Korea were investigated as 166 species. Weed flora in Korean cultivation area have been increased as much as 13 families and 186 species for 10 years compared to 2000~2004 weed survey result of 68 families and 433 species. The increment could be resulted from the change of weed population such as increase of the herbicide-resistant and the difference of investigation method.

Changes in Weed Vegetation in Paddy Fields over the Last 50 Years in Korea (과거 50년간 우리나라 논잡초 군락의 변화)

  • Lee, In-Yong;Kim, Chang-Seog;Lee, Jeongran;Park, Tae-Seon;Moon, Byeng-Chul;Park, Jae-Eup
    • Weed & Turfgrass Science
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    • v.5 no.1
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    • pp.1-4
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    • 2016
  • The Rural Development Administration of Korea conducted a series of surveys of paddy weeds from 1971 to 2013 in approximately 10-year cycles and the results have been used for the efficient weed management of paddy fields. In 1971, annual weeds such as Rotala indica, Eleocharis acicularis f. longiseta, and Monochoria vaginalis were dominant. In 1981, the population of Echinochloa species decreased whereas broadleaf weeds such as M. vaginalis, Sagittaria pygmaea, and S. trifolia were dominant. In 1991, perennial weeds such as Eleocharis kuroguwai, S. pygmaea, and S. trifolia were dominant over annual weeds. In 2000, M. vaginalis was the most abundant species, followed by E. kuroguwai, Echinochloa species, and S. trifolia. In 2013, herbicide-resistant Echinochloa species and M. vaginalis were most dominant, followed by E. kuroguwai, Scirpus juncoides, and S. trifolia. It has been predicted that the prevalence of Echinochloa species will continue to increase and that perennial weeds will be more abundant than annual ones in the near future. The occurrence of herbicide-resistant weeds and exotic weeds will also increase due to global warming and changes in agricultural patterns.

Distribution of Invasive Alien Species in Korean Croplands (농경지 내 생태계교란식물의 분포)

  • Kim, Jin-Won;Lee, In-Yong;Lee, Jeongran
    • Weed & Turfgrass Science
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    • v.6 no.2
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    • pp.117-123
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    • 2017
  • Invasive alien species (IAS) can affect agricultural ecosystem negatively and critically. The geographical distributions of nine IAS plants in Korean orchards and uplands were investigated. Ambrosia artemisiifolia distributed widely in Korean peninsula and Ambrosia trifida distributed intensively in Gyeonggi-do. Aster pilosus distributed in Gyeonggi-Gangwon region and Lactuca scariola distributed linear region from the north-western to south-eastern part of Korea. Hypochaeris radicata distributed mainly in Jeju-do and Solanum carolinense distributed in eastern Gyeonggi-do. Rumex acetosella and Sicyos angulatus sporadically occurred in Korean croplands and Eupatorium rugosum was found in one region only. The distribution of IAS plants in croplands was very similar to that in non-croplands suggesting that ecological position of arable lands is not different from that of non-arable lands. Therefore, IAS plants in the croplands should be managed for not only prevention of yield reduction, but also protection or maintenance of original ecosystem. Development of management methods apposite to current Korean status are required to control IAS plants in croplands.

Weed Management Technology with Host Specific of Biological Control Agents (기주특이성 잡초 활성 미생물을 이용한 잡초방제 기술)

  • Hong, Yeon-Kyu;Lee, Bong-Choon;Song, Seok-Bo;Park, Sung-Tae;Kim, Jeong-Nam;Geon, Min-Goo;Kim, In-Seob
    • Asian Journal of Turfgrass Science
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    • v.20 no.2
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    • pp.175-190
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    • 2006
  • The term mycoherbicide started in 1970, but its interest heightened due to increase costs of chemical herbicides. A classical biocontrol agent is expected to become a permanent part of its new environment and do no harm to it. Contemporary biological control agent(BCA) must be produced by artificial culture and could be applied like chemical herbicides over weeds. BCA is different from the classical approach in that it released through natural spread. To date 26 species of fungi are used as classical BCA against 26 species of weeds in seven countries. There are a number of examples of pathogens attacking non-target plants. But through risk assessments which include understanding the taxonomy, biology and ecology, the target and non-target species, it will be safe to introduce of exotic pathogens to control weeds. But pathogens have not been successfully used in practice. Many mycoherbicides show potential in laboratories, but are ineffective in the field and not consistent from year to year or field to field. There is also a lack of understanding humidity, dew formation and temperature and their effects on suppression of weeds by plant pathogens. Potential pathogen must be selected as a BCA. Previous studies suggest that these pathogens must (1) produce abundant and durable inoculum in artifical culture, (2) be genetically stable and weed specific and (3) kill weeds in control. A granular preparation of mycoherbicide into sodium alginate is lighter than liquids and less bulky than organic matter. Gel forms have also been used.

Estimating the Spatial Distribution of Rumex acetosella L. on Hill Pasture using UAV Monitoring System and Digital Camera (무인기와 디지털카메라를 이용한 산지초지에서의 애기수영 분포도 제작)

  • Lee, Hyo-Jin;Lee, Hyowon;Go, Han Jong
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.36 no.4
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    • pp.365-369
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    • 2016
  • Red sorrel (Rumex acetosella L.), as one of exotic weeds in Korea, was dominated in grassland and reduced the quality of forage. Improving current pasture productivity by precision management requires practical tools to collect site-specific pasture weed data. Recent development in unmanned aerial vehicle (UAV) technology has offered cost effective and real time applications for site-specific data collection. To map red sorrel on a hill pasture, we tested the potential use of an UAV system with digital cameras (visible and near-infrared (NIR) camera). Field measurements were conducted on grazing hill pasture at Hanwoo Improvement Office, Seosan City, Chungcheongnam-do Province, Korea on May 17, 2014. Plant samples were obtained at 20 sites. An UAV system was used to obtain aerial photos from a height of approximately 50 m (approximately 30 cm spatial resolution). Normalized digital number values of Red, Green, Blue, and NIR channels were extracted from aerial photos. Multiple linear regression analysis results showed that the correlation coefficient between Rumex content and 4 bands of UAV image was 0.96 with root mean square error of 9.3. Therefore, UAV monitoring system can be a quick and cost effective tool to obtain spatial distribution of red sorrel data for precision management of hilly grazing pasture.

New Alternate Host of Rice stripe virus - 'Deulmuksae' (벼 줄무의잎마름병의 새로운 중간기주 '들묵새')

  • Yoon, Young-Nam;Lee, Bong-Choon;Jung, Ji-Hun;Kim, Jung-In;Hwang, Jae-Bok;Kim, Chang-Seok;Hong, Sung-Jun;Kang, Hang-Won;Song, Suk-Bo;Hong, Yeun-Gyu;Park, Sung-Tae;Lee, Key-Woon
    • Research in Plant Disease
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    • v.15 no.2
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    • pp.63-67
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    • 2009
  • Rice stripe virus (RSV) is one of Tenuivirus Group, which is carried by small brown planthopper. There is an outbreak of RSV in South Korea at 20Ot, and 2007. The infection caused by RSV had been investigated on weeds around the rice cultivated areas 13 region and 26 site including Jeonbuk Buan and Chungnam Seocheon. There have a doubt as to alternate host of RSV is total 15 Family and 50 Species including Gramineae 24 species of Duksaepul (Alopecurus aequalis), H. sativum var. vulgare etc.. There is identified the infected RSV in Festuca myuros, Alopecurus aequalis, Hordeum sativum var. vulgare, Trisetum bifidum, Echinochloa crus-galli var. crus-galli, Digitaria ciliaris among this species. Deulmuksae is the overwintering exotic weed which sprout in Autumn and wither in Spring and commonly growed as green manure crop or cover crop. In order to identify the infection rate furthermore, 111 samples which were collected at Buan Gyehwa-myeon region, and 50 samples from Seocheon Maseo-myeon in June, 2008, were ELISA tested. The results are 32 positives from Buan, 28.8% infection rate, 8 positives from Seocheon 16.0% infection rate. RSV infection of Deulmuksae is not reported currently, and follow report first describes the Deulmuksae as an alternate host of RSV.

Effect of Herbicide Application on Weed Control and Forage Production in Alpine Grassland Predominated with Red Sorrel(Rumex acetosella L.) (애기수영이 우점한 고랭지 목초지에 제초제의 처리가 잡초방제 및 목초생육에 미치는 영향)

  • Kim, Y.K.;Chung, C.W.;Choi, Y.S.;Lim, Y.C.;Han , S.Y.;Na, K.J.
    • Journal of Animal Science and Technology
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    • v.45 no.5
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    • pp.865-874
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    • 2003
  • Red sorrel, as one of exotic weeds in Korea, was introduced along with imported cereals for concentrate feed or within the seed for forage production. The plant was dominated in grassland and reduced the quality of forage. In particular, this weed cause severe problem in alpine grassland. This study was carried out to investigate the effect and response of red sorrel and forage crops by foliar and soil applied herbicide application. Mecoprop(MCPP) and pendimethaline were selected by pre-field experiment trials and applied to control the red sorrel in grassland. Herbicidal activity of MCPP was 77.2% at 500$m\ell$/10a level and 82.8% at 750$m\ell$/10a level. However, seeds of red sorrel from bare land formed after foliar applied herbicide treatment were germinated and covered bare land. Pendimethalin was not reduced the rhizome growth grown from red sorrel root but retarded seedling growth of germinated red sorrel. The herbicidal activity of pendimethalin to the red sorrel seedling was 83.0%. 2 times application of MCPP at the rate of 750$m\ell$/10a was effective to control of red sorrel regrown from root and herbicidal activity was 93.2%. MCPP and pendimethaline treatment was not reduced growth of grass and have no herbicidal injury to forage crop seedling. Amount of MCPP and pendimethalin remained in grass plant was decreased from 20 days after herbicide treatment and could not be problem in livestock feeding.