• Title/Summary/Keyword: plant classification

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Structure, Ontogeny, Classification, and Taxonomic Significance of Trichomes in Malvales

  • Inamdar, J.A.;Bhat, Balakrishna;Rao, T.V.Ramana
    • Journal of Plant Biology
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    • v.26 no.3
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    • pp.151-160
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    • 1983
  • Structuer, ontogeny, classification and taxonomic significance of trichomes have been studied in 39 genera and 125 species of the selected families in Malvales. They were studied on both vegetative and floral organs. There are nine types of eglandular and eight of glandular trichomes. The trichomes were classified on the basis of their form, structure and contents. All of them originated from a single papillate hair initial. According to the trichome data, the Malvales was comfirmed as a natural order with 5 homogenous families: Malvaceae, Bombacaceae, Sterculiaceae, Tiliaceae, and Elaeocarpaceae.

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A Study of Epidermal Patterns of the Leaf Blades on Korean Sedges, Eriophorum, Fuirena, Kobresia, Rhynchospora and Scirpus(6) (한국산 사초과 식물 잎의 표피형에 대하여(6))

  • 오용자
    • Journal of Plant Biology
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    • v.17 no.2
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    • pp.99-105
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    • 1974
  • Author has studied and reported on taxonomy of Korean sedges, using gross morphology, anatomy and epidermal patterns of the leaf blades(1969, 1971, 1973, 1974). This paper is the 6th report of epidermal patterns of leaf blade on sedges and includes 5 genera, Eriophorum, Fuirena, Kobresia, Rhynchospora and Scirpus. The author proposed to find epidermal patterns of leaf blades as an important taxonomic characteristic of sedges classification. The result of this study, the elements of leaf epidermis, subsidal cells, silica body, cell wall of long cell, prickles, and arrangement of the elements are considered to be significant characteristics for the identification and classification of sedge.

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A Study on Inspection-ability and Classification-ability Evaluation for Mechanical Parts (기계부품의 검사 및 분류성 평가에 관한 연구)

  • Chang-Su Jeon
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.6_2
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    • pp.1055-1062
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    • 2023
  • Globally, the need for remanufacturing or reusing ships and various mechanical parts continues to increase due to environmental problems including global warming. Research on remanufacturing is being carried out in many areas. However, research on inspection and classification to identify the performance or degree of wear of mechanical parts is insufficient. In particular, studies on the inspection-ability and classification-ability of mechanical parts equipped with various materials and complex forms are highly required. Remanufacturing must be considered from the stage of design to extend the life cycle of mechanical parts. Particularly, it is very important to perform research for evaluating the degree of ease to inspect and classify various sorts of wear or deterioration of parts caused by long-term use easily. In this study, the degree of ease in inspecting or classifying mechanical parts for remanufacturing is defined as inspection-ability and classification-ability. In fact, to remanufacture old parts, inspection-ability and classification-ability should be reflected from the stage of design. The purpose of this study is to evaluate the inspection-ability and classification-ability of ships and various mechanical parts. This researcher has presented the quantitative evaluation procedure of inspection-ability and classification-ability, derived the factors and ranges that influence each of the details of easiness, assigned scores according to the ranges of the factors, and calculated weights. Lastly, this study presents the procedure of scoring to evaluate the overall weights of inspection-ability and classification-ability and also inspection-ability and classification-ability quantitatively.

Phyto-Sociological Study of Resource Plant in Mt. Daedun

  • Lee, Yoon-Won
    • Plant Resources
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    • v.2 no.2
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    • pp.113-126
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    • 1999
  • Through the research of tracheophytes type around Mt. Daedun, we are aiming at figuring out the habitat condition of useful resource plants by the classification of vegetation units and communities using the Z-M phyto-sociological method in the basis of the traits of species composition and by the analysis of vegetation and environment by way of coincidence method. Tracheophytes in our research sites was classifid into 117 family, 475 genus 797, species 102 variety,18 breed, in total to 917 kinds. The forest around Mt. Daedun district was classified into 6 communities, 12 groups, 2 sub-groups according to feature species group, differential species group and differential. Judging the result from the examination of community classification factors by the coincidence method, vegetation unit was decided by altitude and topography.

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A Study on the Risk Level of Work Types in Nuclear Power Plant Construction (원자력발전소 건설공사의 공종별 위험도에 관한 연구)

  • Lee, Jong-Bin;Lee, Jun Kyung;Chang, Seong Rok
    • Journal of the Korean Society of Safety
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    • v.28 no.3
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    • pp.95-99
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    • 2013
  • The goal of this study was to investigate some significant factors to influence level of safety at plant construction field and analyze degree of risk by work classification. Currently, there are lots of construction fields for the nuclear power plant for electricity generation, and our government also planned constructing more nuclear power plant in near future. However, much of the safety literature neglected the degree of risk factors on the plant construction field. Safety managers participated in the brainstorming session for drawing decision criteria of the degree of risk (i.e., significant factors). Then, they were asked to answer a structured questionnaire which was developed for drawing most important factors. Finally, the analytic hierarchy process (AHP) was used to analyze level of risk by work classification. The following results were obtained. First, total twelve factors judging degree of risk were found in the brainstorming session. Second, the questionnaire showed four significant factors, including number of workers, working environments, skill of craft and accident experience. Third, the results of AHP showed Architecture work is the most dangerous work among 6 work types. The results could be used to reduce degree of risk in construction field of the nuclear power plant.

Distribution of Medicinal Plants included in the Korean Pharmacopoeia at Cheongoksan Bonghwagun in Korea (봉화군 청옥산에 분포하는 대한민국약전 수재 약용식물의 분포 특성)

  • Song, Hong Seon;Gim, Mung Hea;Lee, Geo Lyong;Kim, Seong Min
    • Korean Journal of Medicinal Crop Science
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    • v.21 no.4
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    • pp.268-275
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    • 2013
  • This text was analyzed and investigated the distribution of medicinal plants in Cheongoksan Bonghwagun Korea, in order to search the medicinal resources that are used in modern medicine. Medicinal plants of the Korean Pharmacopoeia (10th edition) distributed in Cheongoksan Bonghwagun were consisted of 93 taxa ; 82 species, 10 varieties, 1 forma of 79 genus, 50 families. In medicinal plants of the Korean Pharmacopoeia, rate of native species and exotic species was 89.2% (83 taxa) and 10.8% (10 taxa) respectively. Family classification was the most of compositae of 8 taxa, and life form classification was most of herb of hemicryptophyte species. The classification by using parts were 34 taxa of root use and the classification of efficacy utilization was 24 taxa of Cheongyeolyak (heat-clearing drug) use.

A Study on Revision of Regulations to Promote Recycling of Animal and Plant Residues (동·식물성잔재물의 재활용 촉진을 위한 관련 법규 개정 연구)

  • Oh, Gil-Jong;Park, Seon-Oh;Kim, Ki-Heon
    • Journal of the Korea Organic Resources Recycling Association
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    • v.25 no.2
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    • pp.77-90
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    • 2017
  • In order to promote recycling of animal and plant residues, it is necessary to prepare detailed statistics on the sources, generation amount and the state of disposal so that waste recycling companies and enterprises can obtain the information easily. Also, the recycling methods specified in the law should be appropriate. For this, the study reviewed the appropriateness of detailed classification of animal and plant residues and permitted recycling methods in the Enforcement Regulations of the Waste Management Act of Korea. For improvement of the detailed classification, the study conducted literature review on European and Japanese ones. Additionally, we visited slaughterhouses of livestock and poultry, vegetable oils manufacturing companies, starches and glucose or maltose manufacturing companies, which generate the waste and recycle the waste, to grasp the status of recycling in Korea. Based on the results, the study proposes improvement measures for the detailed classification and the permitted recycling types in the law.

Plant Species Identification based on Plant Leaf Using Computer Vision and Machine Learning Techniques

  • Kaur, Surleen;Kaur, Prabhpreet
    • Journal of Multimedia Information System
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    • v.6 no.2
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    • pp.49-60
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    • 2019
  • Plants are very crucial for life on Earth. There is a wide variety of plant species available, and the number is increasing every year. Species knowledge is a necessity of various groups of society like foresters, farmers, environmentalists, educators for different work areas. This makes species identification an interdisciplinary interest. This, however, requires expert knowledge and becomes a tedious and challenging task for the non-experts who have very little or no knowledge of the typical botanical terms. However, the advancements in the fields of machine learning and computer vision can help make this task comparatively easier. There is still not a system so developed that can identify all the plant species, but some efforts have been made. In this study, we also have made such an attempt. Plant identification usually involves four steps, i.e. image acquisition, pre-processing, feature extraction, and classification. In this study, images from Swedish leaf dataset have been used, which contains 1,125 images of 15 different species. This is followed by pre-processing using Gaussian filtering mechanism and then texture and color features have been extracted. Finally, classification has been done using Multiclass-support vector machine, which achieved accuracy of nearly 93.26%, which we aim to enhance further.

Morphological Classification of Trichomes Associated with Possible Biotic Stress Resistance in the Genus Capsicum

  • Kim, Hyun-Jung;Seo, Eun-Young;Kim, Ji-Hyun;Cheong, Hee-Jin;Kang, Byoung-Cheorl;Choi, Do-Il
    • The Plant Pathology Journal
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    • v.28 no.1
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    • pp.107-113
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    • 2012
  • Trichomes are specialized epidermal structure having the functions of physical and chemical block against biotic and abiotic stresses. Several studies on $Capsicum$ species revealed that virus and herbivore resistance is associated with trichome-formation. However, there is no research on the structural characterization of trichomes developed on the epidermis of $Capsicum$ spp. Thus, this study attempts to charaterize the trichome morphologies in 5 species of $Capsicum$ using a Field Emission Scanning Electron Microscopy (FESEM). Six main trichome types were identified by their morphology under FESEM. Both glandular and non-glandular types of trichomes were developed on the epidermal tissues of $Capsicum$ spp. The glandular trichome were further classified into type I, IV and VII according to their base, stalk length, and stalk. Non-glandular trichomes were also classified into type II, III, and V based on stalk cell number and norphology. Almost all the species in $C.$ $chinense$ and $C.$ $pubescens$ had glandular trichomes. To our knowledge, this is the first study on classification of trichomes in the genus $Capsicum$ and, our results could provide basic informations for understanding the structure and function of trichomes on the epidermal differentiation and association with biotic stress tolerance.

Superpixel-based Apple Leaf Disease Classification using Convolutional Neural Network (합성곱 신경망을 이용하는 수퍼픽셀 기반 사과잎 병충해의 분류)

  • Kim, Manbae;Choi, Changyeol
    • Journal of Broadcast Engineering
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    • v.25 no.2
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    • pp.208-217
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    • 2020
  • The classification of plant diseases by images captured by a camera sensor has been studied over past decades. A method that has gained much interest is to use image segmentation, from which statistical features are derived and analyzed by machine learning. Recently, deep learning has been adopted in this area. However, image segmentation is still a difficult task to achieve stable performance due to a variety of environmental variations. The end-to-end learning in neural network has a demerit that train images may be different from real images acquired in outdoor fields. To solve these problems, we propose superpixel-based disease classification method using end-to-end CNN (convolutional neural network) learning. Based on experiments performed on PlantVillage apple images, the classification accuracy is 98.29% and 92.43% for full-image and superpixel. As well, the multivariate F1-score is (0.98, 0.93). Therefore we validate that the method of using superpixel is comparable to that of full-image.