• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.6
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• pp.671-679
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• 2020

In order to increase the food self-sufficiency rate, monitoring and analysis of crop conditions in the cultivated area is important, and the existing measurement methods in which agricultural personnel perform measurement and sampling analysis in the field are time-consuming and labor-intensive for this reason inefficient. In order to overcome this limitation, it is necessary to develop an efficient method for monitoring crop information in a small area where many exist. In this study, RGB images acquired from unmanned aerial vehicles and vegetation index calculated using RGB image were applied as deep learning input data to classify complex upland crops in small farmland. As a result of each input data classification, the classification using RGB images showed an overall accuracy of 80.23% and a Kappa coefficient of 0.65, In the case of using the RGB image and vegetation index, the additional data of 3 vegetation indices (ExG, ExR, VDVI) were total accuracy 89.51%, Kappa coefficient was 0.80, and 6 vegetation indices (ExG, ExR, VDVI, RGRI, NRGDI, ExGR) showed 90.35% and Kappa coefficient of 0.82. As a result, the accuracy of the data to which the vegetation index was added was relatively high compared to the method using only RGB images, and the data to which the vegetation index was added showed a significant improvement in accuracy in classifying complex crops.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.33 no.s01
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• pp.39-47
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• 1988

Soybean grain is most widely used and soybean crop produces most high protein per area among crops. To meet rapid increase of human population and supply protein in safety. soybean has considered more and more important crop. And it has been emphasizing that high quality and high protein soybean breeding must be made efforts in future. Many papers related to soybean breeding for high quality and protein and soybean protein composition have suggested the problems to do in future. Soybean germplasm collection. classification and conservation should be continuously performed, and it is emphasized that wild type of soybeans (G. soja) be considered to use in breeding for high protein varieties. Selections would be better emphasized in first yield and therefore high yield of protein per area. Selection for high protein would be secondary criterion. High protein lines with high yielding potential could be selection from certain populations, and breeders should consider this phenomenon in procedure of selection. Heritability of protein percent is relatively high and genetic gain of increment of protein percent is large. Soybean protein which is comprised 70 to 90% of globulin is constituted mostly 11S and 7S proteins. Sulfur-containing amino acids, methionine and cysteine, are identified to contain more in 11S protein than 7S protein. High 11S germplasm should be desirable to use in crossing plan, and selection of high ratio of 11S/7S lines be better in development of high quality varieties.

• Korean Journal of Remote Sensing
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• v.20 no.4
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• pp.253-259
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• 2004

The purpose of this study is to present a standardized scheme for providing agriculture-related information at various spatial resolutions of satellite images including Landsat + ETM, KOMPSAT-1 EOC, ASTER VNIR, and IKONOS panchromatic and multi-spectral images. The satellite images were interpreted especially for identifying agricultural areas, crop types, agricultural facilities and structures. The results were compared with the land cover/land use classification system suggested by National Geographic Information based on aerial photograph and Ministry of Environment based on satellite remote sensing data. As a result, high-resolution agricultural land cover map from IKONOS imageries was made out. The classification result by IKONOS image will be provided to KOMPSAT-2 project for agricultural application.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.42 no.2
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• pp.202-213
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• 1997

In order to find out a high potential black soybean lines, of which demand has been increasing in Korea, twenty eight local cultivars were evaluated on agronomic characteristics and the classification of the cultivars was made by the cluster analysis. Days to maturity and days to growing of black soybeans were widely ranged from 58 to 82 days, and 117 to 148 days, respectively. Late maturing group showed over 140 maturity days, and heavy 100 seed weight. There was shown low yield potential in late maturing group, and growing days was positively correlated with flowering days, days to maturity, 100-seed weight and stem length, respectively. From the principal component analysis upper two components composed 76.5％ cumulative eigen value to total. Nine varietal groups were identified in relations to their affinity of the black soybeans. Selected black soybeans, Namhae-2 and Hamyang-l were field-tested and those characteristics of many pod, small seed and high yield were found out to be suitable for sprouting.

• The Korean Journal of Ecology
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• v.6 no.2
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• pp.114-127
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• 1983

The production and productivity of $C_3 and C_4$ type plants in Korea was studcied In the areas, in which the summer temperature is above $30^{\circ}C,;C_3$ type plants showed“M” type productivity curves exhibiting two peaks in spring and autumn, and C4 type plants showd “Bell” type productivity curves which show one peak in summer(Figs. 1,2,3,4,5). From the result of researching the standing crop of $C_3 and C_4$type plants dcuring August and September in which the standing crop reaches the highest peak, the dominant plants in the natural grass vegetation were almost all of $C_4$ type plants, showing the high standing crop, while the standing crop of $C_3$ type plants shows its high peak in the humid areas, riversides and dams.

• Journal of Applied Biological Chemistry
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• v.63 no.4
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• pp.393-399
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• 2020

Saposhnikoviae Radix (SR) and Peucedani Japonici Radix (PR) have been used as the main traditional herbal medicines in Korea, China and Japan. In this study, ultra-performance liquid chromatography coupled to quadrupole time of flight mass spectrometry (UPLC-QTOF/MS)-based metabolomics was applied to evaluate the quality of SR and PR using the marker compounds. In the S-plot of SR and PR, 5-O-methylvisammioside and peucedanol were selected as a marker compound for SR and PR, respectively. Also, an UPLC method was established and well validated for marker compounds of SR and PR. These results suggested that the established analysis method could be used one of the good methods for the classification and quality assessment of SR and PR.

• Korean Journal of Environmental Agriculture
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• v.25 no.2
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• pp.138-146
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• 2006

To understand the status of water quality and work out a suitable countermeasures in Seonakdong watershed which has poor agro- environmental condition because of severe point and non-point source pollution by popularized city and near sea, we investigated the pollution sources and water quality from '03 and '05 and the result were mapped with GIS and RS for end-users's convenient comprehense and conjunction of water quality and geological data. The most degraded tributary was Hogeo stream which was affected directly by highly popularized Gimhae city, the main pollution source of the watershed. The pollution of tributaries in watershed increased the T-N of main body that reached over 4 mg/L during dry season. Pyeonggang stream and the lower part of main water way were suffered from high salt contents induced near sea and the EC value of those area were increased to 2.25 dS/m. The delivered loads of T-N and T-P were largest in Joman river as 56% and 61% of total delivered loads 1mm tributaries because of lots of stream flow. When Management mandate for irrigation water in Seonakdong river watershed was mapped for estimating integrated water quality as the basis of classification of EC and T-N contents in water, Hogeo and Shineo catchments were showed the requiring countermeasures none against nutrients hazard and Pyeonggang catchment was the vulnerable zone against nutrients and salts hazard. As the result, Seonakdong watershed had very various status of water quality by characteristics of catchments and countermeasures for improving water quality and crop productivity safely should changed depend on that.

• Korean Journal of Remote Sensing
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• v.22 no.2
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• pp.101-110
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• 2006

The accuracy of rural land cover using airborne multispectral images and LEAR (Light Detection And Ranging) data was analyzed. Multispectral image consists of three bands in green, red and near infrared. Intensity image was derived from the first returns of LIDAR, and vegetation height image was calculated by difference between elevation of the first returns and DEM (Digital Elevation Model) derived from the last returns of LIDAR. Using maximum likelihood classification method, three bands of multispectral images, LIDAR vegetation height image, and intensity image were employed for land cover classification. Overall accuracy of classification using all the five images was improved to 85.6% about 10% higher than that using only the three bands of multispectral images. The classification accuracy of rural land cover map using multispectral images and LIDAR images, was improved with clear difference between heights of different crops and between heights of crop and tree by LIDAR data and use of LIDAR intensity for land cover classification.

• Korean Journal of Medicinal Crop Science
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• v.2 no.2
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• pp.140-145
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• 1994

B. falcatum plants were classified into six groups from group I to grop VI by the complete linkage cluster method depending on 8 charactenstics such as plant height. number of nodes, number of branches, position of the first branching node root diameter, root length, number of lateral root, dry weight of root. These groups are divided into two plants types, such as multi-branching and non multi-branching type by the number of branches, group II and group VI were the multi-branching types and the other groups were nonmulti-branching ones, Dry weight of root had highly positive correlation with the number of branches and negative correlation with the position of first branching nodes.

• The Plant Pathology Journal
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• v.36 no.4
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• pp.346-354
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• 2020

Pectobacterium, which causes soft rot disease, is divided into 18 species based on the current classification. A total of 225 Pectobacterium strains were isolated from 10 main cultivation regions of potato (Solanum tuberosum), napa cabbage (Brassica rapa subsp. pekinensis), and radish (Raphanus sativus) in South Korea; 202 isolates (90%) were from potato, 18 from napa cabbage, and five from radish. Strains were identified using the Biolog test and phylogenetic analysis. The pathogenicity and swimming motility were tested at four different temperatures. Pectolytic activity and plant cell-wall degrading enzyme (PCWDE) activity were evaluated for six species (P. carotovorum subsp. carotovorum, Pcc; P. odoriferum, Pod; P. brasiliense, Pbr; P. versatile, Pve; P. polaris, Ppo; P. parmentieri, Ppa). Pod, Pcc, Pbr, and Pve were the most prevalent species. Although P. atrosepticum is a widespread pathogen in other countries, it was not found here. This is the first report of Ppo, Ppa, and Pve in South Korea. Pectobacterium species showed stronger activity at 28℃ and 32℃ than at 24℃, and showed weak activity at 37℃. Pectolytic activity decreased with increasing temperature. Activity of pectate lyase was not significantly affected by temperature. Activity of protease, cellulase, and polygalacturonase decreased with increasing temperature. The inability of isolated Pectobacterium to soften host tissues at 37℃ may be a consequence of decreased motility and PCWDE activity. These data suggest that future increases in temperature as a result of climate change may affect the population dynamics of Pectobacterium.