• Korean Journal of Medicinal Crop Science
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• v.4 no.1
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• pp.52-57
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• 1996

This study was carried out to compare isozyme band pattern, growth characteristics and tuber yield of Dioscorea batatas to get basic information for varietal classification. It could be identify clearly by protein and esterase band pattern of leaf, petiole and stem tissue in three cultivar but with peroxidase band it was difficult to identify because of similar pattern in leaf and petiole tissue. Three cultivars has different leaf shape as Dan-ma and Jang-ma were lanceolate, Sukunea was long-heart shape in upper part of plants. In phyllotaxis, Dan-ma and Jang-ma shows alternate and opposite but Suwon 2 shows opposite in upper parts of stem. Root length shows significant difference from 9.7cm to 51cm respectively as 30cm, 51cm and 9.7cm in Dan-ma, Jang-ma and Sukunea. Tuber yield of three cultivars were 27.5M/T in Dan-ma, 22.8M/T in Jang-ma and 22.8M/T/ha in Sukunea.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.48 no.4
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• pp.339-344
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• 2003

To identify the new source of breeding materials for rice salt tolerance, the salinity tolerance of thirty-four varieties was evaluated under 0.5% saline condition at seedling stage. The salinity score showed highly significant correlations to dry weight and dead leaf ratio. The tested varieties were classified into three groups by visual score, reduction ratio of dry weight, and dead leaf ratio. Eighteen varieties were classified as the highly tolerant group (salinity scores of 1.3-3.7), seven varieties were fallen into the tolerant group (salinity scores of 4.2-5.8), and others were susceptible (salinity scores of 6.7-9.0). In highly tolerant group, most indica varieties including Getu, Dikwee and Kuatic Putic, didn't exsert a panicle under the Korean climate. But six varieties, Xiangcho V, Annapuruna, HP 3319-2wx-6-3-1, Giza 175, and GZ 2447-S-17, GZ 4255-6-3 were suitable to the Korean climate, and their heading date (6-16, August) and culm length (65-78㎝) were similar to the Korean varieties. Accordingly, these varieties can be utilized as crossing materials for the salt tolerance in japonica rice.

• Korean Journal of Medicinal Crop Science
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• v.15 no.5
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• pp.357-361
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• 2007

This study was conducted to evaluate the vegetation structure of the Peucedanum japonicum community by the phytosociological method of floristic composition table and cluster analysis on the southern coast of Korea. The vegetation of the Peucedanum japonicum community was classified mainly into 2 communities such as the Miscanthus sinensis community and the Lysimachia mauritiana-Rosa wichuraiana community. The Carex boottiana and Sedum oryzifolium community were classified as the lower rank of Miscanthus sinensis community. On level 1 of the cluster analysis of plant species, they were classified into Lysimachia mauritiana and Rosa wichuraiana group, also Miscanthus sinensis, Carex boottiana and Sedum oryzifolium in Peucedanum japonicum community, which is similar to the community classification shown in the synoptic table. On level 1 of the cluster analysis of relev, inland coast with Jejudo was Lysimachia mauritiana and Rosa wichuraiana of group such as level 1 of the cluster analysis of plant species, and island coast with Geomundo was Miscanthus sinensis Carex boottiana and Sedum oryzifolium of group such as cluster analysis of plant species.

• Korean Journal of Agricultural and Forest Meteorology
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• v.17 no.2
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• pp.102-107
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• 2015

This study was conducted to classify agro-climatic zones in Northeast district of China. For agro-climatic zoning, monthly mean temperature and precipitation data from Global Modeling and Assimilation Office (GMAO) of National Aeronautics and Space Administration (NASA, USA) between 1979 and 2010 (http://disc.sci.gsfc.nasa.gov/) were collected. Altitude and vegetation fraction of East Asia from Weather Research and Forecasting (WRF) were also used to classify them. The criteria of agro-climatic classification were altitude (200 m, between 200-800 m, 800 m), vegetation fraction (60%), annual mean temperature ($0^{\circ}C$), temperature in the hottest month ($22^{\circ}C$), and annual precipitation (700 mm). In Northeast district of China, mean annual temperature, annual precipitation, and solar radiation were $3.4^{\circ}C$, 613.2 mm, and $4,414.2MJ/m^2$ between 2009 and 2013, respectively. Twenty-two agro-climatic zones identified in Northeast district of China by metrics classification method, from which the map of agro-climatic zones for Northeast district of China was derived. The results could be useful as information for estimating agro-meteorological characteristics and predicting crop development and crop yield of Northeast district of China as well as those of North Korea.

• Korean Journal of Weed Science
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• v.2 no.2
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• pp.129-140
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• 1982

Herbicides were classified by two-dimensional ordination analysis based on the weed flora which was not controlled by application of a particular herbicide. The number of herbicide group was varied depending upon the weed community type and the experiment site. The technique of the two-dimensional ordination analysis gave more comprehensive informations about selecting of herbicides for increasing the herbicidal efficacy, for increasing the weed spectrum and for reducing the herbicide cost by mixing of herbicides. The two-dimensional ordination analysis could be used not only herbicide classification and selecting effective herbicide or herbicide combination but also can be used for the evaluation of systematic application of herbicides.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.66 no.4
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• pp.350-357
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• 2021

In the present study, the seed color of 200 common bean genetic resources was analyzed and located on the HTML color chart to classify these resources according to color characteristics. This classification method predicts the components of seed and may serve as a new method for efficiently using secured genetic resources. The imagary data of common bean exhibiting various seed colors were expressed using the HTML color chart. According to the proposed classification method, the seed color was distributed in seven categories: yellow-green, yellow, brown, red, white, gray, and indigo. In addition, the distribution of each seed color was according to its concentration. The distribution by concentration was the highest for red, whereas the distribution of gray and yellow-green was not concentration-dependent. As the dominant pigments based on color distribution, chlorophylls in yellow-green; carotenoids in yellow; and anthocyanins in brown, red, white, gray, and indigo significantly affected seed color. When expressed objectively, seed colors can be applied to the systematic management, breeding, and cultivation of genetic resources and can be useful for marketing or developing products of desired colors. This method can also be applied to other crops.

• Korean Journal of Remote Sensing
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• v.25 no.5
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• pp.411-421
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• 2009

This study refers to develop a semi-automatic extraction of agricultural land use and vegetation information using high resolution satellite images. Data of IKONOS-2 satellite images (May 25 of 2001, December 25 of 2001, and October 23 of 2003), QuickBird-2 satellite images (May 1 of 2006 and November 17 of 2004) and KOMPSAT-2 satellite image (September 17 of 2007) which resemble with the spatial resolution and spectral characteristics of KOMPSAT-3 were used. The precise agricultural land use classification was tried using ISODATA unsupervised classification technique, and the result was compared with on-screen digitizing land use accompanying with field investigation. For the extraction of crop growth information, three crops of paddy, com and red pepper were selected, and the spectral characteristics were collected during each growing period using ground spectroradiometer. The vegetation indices viz. RVI, NDVI, ARVI, and SAVI for the crops were evaluated. The evaluation process was developed using the ERDAS IMAGINE Spatial Modeler Tool.

• Korean Journal of Medicinal Crop Science
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• v.13 no.6
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• pp.278-286
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• 2005

This study was conducted to classify 80 Artemisia spp. collections based on morphological characters and RAPD analysis to get the basic information of Artemisia spp. collections as medicinal plants. The eighty Artemisia spp. collections were classified into 5 groups with the maximum distance 0.82 between clusters based on the complete linkage cluster analysis with morphological traits. Out of 80 operon primer, 10 primers showing polymorphic bands were selected for RAPD analysis. Among the 98 bands amplified with the primers, 68 (69%) bands showed polymorphism. The number of amplified bands ranged from 8 to 10 with an average number of 9.8 bands. Artemisia spp. collections classified into 6 groups with the similarity value of 0.63 in dendrogram derived from the cluster analysis based on RAPDs. Group consisted of 29 collections. Group, which is the largest one, contained 40 collections. Most of the A. asiatica and A. feddei LEV et VNT. were classified into Group and. The rest of the collections (31%) were classified into Group $III{\sim}V$.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.20 no.2
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• pp.8-13
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• 2021

The study for soil has been conducted separately by several areas such as soil mechanics and soil chemistry. Soil is important in terms of prediction of how the plant grow with nutrient requirement. Also, soil is important for machines to work on to solve labor shortage and save farmers from harsh environment during farm work. To meet diverse needs related to soil in agriculture, the soil related study needs to be conducted synthetically. Thus, we tried to obtain the data related to soil chemistry including pH and Electrical Conductivity (EC) with data related to soil mechanics including Cone Index (CI), moisture content, soil classification. Specifically, the condition of the field was set to be cultivated at least for five years continuously at a first step. The soil was taken from 30 sites. CI was obtained using the soil penetrometer and soil classification was conducted using sieve analysis with eight kinds of sieve. The soil was taken on December when is during winter in Korea. There was variation of data including moisture content and CI.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.67-80
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• 2023

Rice is an important food crop for most of the population in Nowadays, psychologists consider social media an important tool to examine mental disorders. Among these disorders, depression is one of the most common yet least cured disease Since abundant of writers having extensive followers express their feelings on social media and depression is significantly increasing, thus, exploring the literary text shared on social media may provide multidimensional features of depressive behaviors: (1) Background: Several studies observed that depressive data contains certain language styles and self-expressing pronouns, but current study provides the evidence that posts appearing with self-expressing pronouns and depressive language styles contain high emotional temperatures. Therefore, the main objective of this study is to examine the literary cyber writers' posts for discovering the symptomatic signs of depression. For this purpose, our research emphases on extracting the data from writers' public social media pages, blogs, and communities; (3) Results: To examine the emotional temperatures and sentences usage between depressive and not depressive groups, we employed the SentiStrength algorithm as a psycholinguistic method, TF-IDF and N-Gram for ranked phrases extraction, and Latent Dirichlet Allocation for topic modelling of the extracted phrases. The results unearth the strong connection between depression and negative emotional temperatures in writer's posts. Moreover, we used Naïve Bayes, Support Vector Machines, Random Forest, and Decision Tree algorithms to validate the classification of depressive and not depressive in terms of sentences, phrases and topics. The results reveal that comparing with others, Support Vectors Machines algorithm validates the classification while attaining highest 79% f-score; (4) Conclusions: Experimental results show that the proposed system outperformed for detection of depression trends in literary cyber writers using sentiment analysis.