• Research in Plant Disease
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• v.6 no.1
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• pp.6-9
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• 2000

Nine samples of soft rotten roots and blighted leaves of Ficus spp. plants were collected from the vinyl-houses in Taejeon, Seongnam, Suweon and Yangjae in 1988 and pathogenic bactea were isolated from them Results of the studies on morphological, cultural, physiologucal and pathological characteristics indicated that the bacteria from Ficus retusa were Pseudomonas cichorii, from Ficus retusa \`Golden leaf\` and Ficus benjamina were P.viridiflava. These are the first description of bacteria which caused the diseases on Ficus spp. in Korea. We proposed to name the disease of Ficus retusa by P. cichorii as \"bacterial root rot of Ficus retusa\" and Ficus retusa(Golden leaf) and Ficus benjamina by P. viridiflava as \"bacterial leaf blight of Ficus retusa (Golden leaf)\", \"bacterial blight of Ficus benjamina\", respectively.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2001.06a
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• pp.93-96
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• 2001

Estimation of leaf wetness duration (LWD) facilitates assessment of the likelihood of outbreaks of many crop diseases. Models that estimate LWD may be more convenient and grower-friendly than measuring it with wetness sensors. Empirical models utilizing statistical procedures such as CART (Classification and Regression Tree; Gleason et al., 1994) have estimated LWD with accuracy comparable to that of electronic sensors.(omitted)

• Journal of the East Asian Society of Dietary Life
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• v.15 no.2
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• pp.188-193
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• 2005

As the modern medicine develops, the physique and average life span are increasing. In proportion to that, modern diseases of adult people such as cancer, obesity, arteriosclerosis, cardiac disorder become great social issues. In the meantime, as the development of a new diet brings a new attention, the study is designed to examine the availability of functional food by adding Korean traditional food, soybean Dasik, mulberry leaf. For this study, mulberry leaf was added 0, 5, 10, and $15\%$ respectively to soybean Dasik in proportion to the total weight of soybean power. These are compared with the soybean Dasik itself in relation to the nutritional composition, sensory evaluation, and mechanical characteristics. The results of the research were as follows. Nutritional composition showed that mulberry leaf soybean Dasik increased Na, Ca, K, crude fiber, and ash. As for the result of sensory evaluation of mulberry leaf soybean Dasik, the followings were turned out to be good : color - $10\%$, mulberry leaf smell - $5\%,\;10\%,\;15\%$, bitterness - $5\%,\;10\%$, softness and moistness - $0\%,\;5\%,\;10\%$, and sweetness and overall quality - all the added food group. As the test results of mechanical characteristics, mulberry leaf soybean Dasik showed statistically significant difference only in the hardness, especially high on $5\%,\;10\%,\;and\;15\%$. There were no significant differences in other characteristics. In color, mulberry leaf soybean Dasik showed that L, a and b values decreased as the percentage of addition of mulberry leaf went up. Therefore, the appropriate amount of addition for the production of mulberry leaf soybean Dasik was $5\~10\%$ mulberry leaf in proportion to the weight of soybean power.

• The Korean Journal of Mycology
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• v.48 no.1
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• pp.69-74
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• 2020

In September 2017, a heavy damage by premature defoliation with the zonate leaf spots was observed in several shrubs of Lespedeza cyrtobotrya growing at Mt. Obongsan in Chuncheon, Korea. Numerous cone-shaped, white sporophores of a fungus were observed on lesions of the abaxial leaf surface. A similar fungus was isolated in September 2019 from the leaves of L. cyrtobotrya growing at Mt. Taegisan in Hoengseong, Korea. The morphological characteristics of the sporophores were consistent with those of Grovesinia moricola. The species identification was confirmed by sequencing the internal transcribed spacer (ITS) region of the ribosomal DNA from the two isolates (KACC48417 and KACC48934). The fungal pathogenicity was determined by an artificial inoculation in conditions of relative humidity and temperature of 100% and 15±2℃, respectively. This is the first report of association of G. moricola with L. cyrtobotrya in Korea.

• Korean Journal of Organic Agriculture
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• v.20 no.4
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• pp.655-668
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• 2012

Foliar diseases are major constraints to profitable organic tomato production. Especially, powdery mildew, leaf mold and gray mold of tomato occur severely on organic cultured tomatoes in Korea. This study was conducted to develop organic tomato cultivation technology using environmental-friendly disease control methods (resistance cultivar planting, air circulation fan installation, oil-egg yolk mixtures, and microbial agents). When tomatoes were cultivated in plastic film house installed with air circulation fan, daily range of temperature was decreased by $2{\sim}7^{\circ}C$, average relative humidity was decreased by 1~5% compared to those in plastic house without air circulation fan. Consequently, incidence of tomato leaf mold and tomato gray mold was reduced by 55.0% and 24.4%, respectively. Control effect of microbial agents and oil-egg yolk mixtures against major tomato diseases was examined in plastic house. As a result, the control value of microbial agents against tomato gray mold and tomato leaf mold showed at the range of 49.0~55.9 %(gray mold) and 39.2~58.2%(leaf mold), respectively. The control value of oilegg yolk mixtures against tomato powdery mildew showed 97.6%. Fifteen tomato cultivars were evaluated for disease resistance against leaf mold and powdery mildew in organically cultivated tomato field. Among 15 tomato cultivars, seven cultivars including 'Super-top' were found to be high resistant to tomato leaf mold. Also 'Powerking', one of fifteen tomato cultivars, showed to be high resistant to tomato powdery mildew.

• Journal of Bio-Environment Control
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• v.33 no.1
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• pp.1-11
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• 2024

In this study, five artificial intelligence (AI) models: Inception v3, SqueezeNet (local), VGG-16, Painters, and DeepLoc were used to classify tea leaf diseases. Eight image categories were used: healthy, algal leaf spot, anthracnose, bird's eye spot, brown blight, gray blight, red leaf spot, and white spot. Software used in this study was Orange 3 which functions as a Python library for visual programming, that operates through an interface that generates workflows to visually manipulate and analyze the data. The precision of each AI model was recorded to select the ideal AI model. All models were trained using the Adam solver, rectified linear unit activation function, 100 neurons in the hidden layers, 200 maximum number of iterations in the neural network, and 0.0001 regularizations. To extend the functionality of Orange 3, new add-ons can be installed and, this study image analytics add-on was newly added which is required for image analysis. For the training model, the import image, image embedding, neural network, test and score, and confusion matrix widgets were used, whereas the import images, image embedding, predictions, and image viewer widgets were used for the prediction. Precisions of the neural networks of the five AI models (Inception v3, SqueezeNet (local), VGG-16, Painters, and DeepLoc) were 0.807, 0.901, 0.780, 0.800, and 0.771, respectively. Finally, the SqueezeNet (local) model was selected as the optimal AI model for the detection of tea diseases using tea leaf images owing to its high precision and good performance throughout the confusion matrix.

• Korean Journal Plant Pathology
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• v.14 no.6
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• pp.668-675
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• 1998

These surveys were conducted to check the occurrence of disease in various horticultural crops in alpine areas, especially Daekwallyong areas, Pyongchang-Gun, and Hyeongseong-Gun in Kangwon province. TuMV on Chinese cabbage was one of the most serious diseases, especially in 1994 and 1997. The incidence of soft rot and clubroot has been increased gradually. Brittle root rot on Chinese cabbage was significantly decreased. Soft rot, gray mold, downy mildew, powdery mildew, bottom rot and Alternaria leaf spot were the common diseases on most vegetable crops. Gray mold (Botrytis cinerea) on celery, cercospora leaf spot (Cercospora sp.) on melon, powdery mildew (Erysiphe cichoracearum) on lettuce, and clubroot (Plasmodiophora brassicae) on parsley are newly found in Korea. The most common and predominant diseases were viruses, especially CMV, TMV, TuMV, BBMV, and gray mold, wilts, and cercospora leaf spot on many flowers in alpine areas. Fusarium oxysporum f. sp. eustomae causing wilting on lisianthus (Eustoma grandiflorum), Turnip mosaic virus causing mosaic and color breaking on stock, Cercospora spp. causing cercospora leaf spot on various wild lily, Cladosporum echinulatum causing leaf spot on carnation, and phytoplasma causing witches' broom on statice (Limonium sinuatum) and blazing star (Liatris spp.) were newly found during these surveys in Korea.

• Korean Journal of Food Science and Technology
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• v.30 no.2
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• pp.468-471
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• 1998

Regarding the characterstics of allergic diseases, preventive and continuous treatment is desirable, and tea would be the one of the best functional food formula for it. Here we report the development of tea processing method for the leaves of Castnaea crenata. Two forms of Castnaea crenata leaf tea were prepared, non-fermented steaming tea and semi-fermented rolling tea. Anti-allergic actions of Castanea crenata leaf tea were asessed by testing their effects on the degranulation of mast cells. For this, hexosaminidase release (degranulation marker) from RBL-2H3 cells (mast cell line) was used. At the concentration of $300\;{\mu}g/mL$ of the water extract, the degranulation of RBL-2H3 cells were inhibited 50.4% and 35.4% by non-fermented steaming tea and semi-fermented rolling tea, respectively. These results suggest that the tea processing method we developed could provide a valuable resource for the treatment of allergic diseases.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.5
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• pp.959-968
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• 2019

In the agricultural industry, wireless sensor network technology has being applied by utilizing various sensors and embedded systems. In particular, a lot of researches are being conducted to diagnose diseases of crops early by using sensor network. There are some difficulties on traditional research how to diagnose crop diseases is not practical for agriculture. This paper proposes the algorithm which enables to investigate and analyze the crop leaf image taken by image camera and detect the infected area within the image. We applied the enhanced k-means clustering method to the images captured at horticulture facility and categorized the areas in the image. Then we used the edge detection and edge tracking scheme to decide whether the extracted areas are located in inside of leaf or not. The performance was evaluated using the images capturing tomato leaves. The results of performance evaluation shows that the proposed algorithm outperforms the traditional algorithms in terms of classification capability.

• Research in Plant Disease
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• v.21 no.1
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• pp.40-43
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• 2015

Bacterial pustule of soybean is caused by Xanthomonas axonopodis pv. glycines, one of the most important diseases in soybean. The symptom of bacterial pustule is mainly distributed around leaf veins. However, the reason has not been known. In order to determine pathosystem of bacterial pustule in leaf, soybean leaves were collected and observed using scanning electron microscopy (SEM) and light microscopy. Many hairs were observed at abaxial sides of the leaf, few hairs were observed at tissue around the leaf veins. In addition, unidentified bacterial cells and dusts at the no hair part near veins were observed. In the inoculation assays, the cells of X. axonopodis pv. glycines were observed near leaf veins. The imprint of underside of soybean leaves inoculated with X.axonopodis pv. glycines on PDA showed that the growth of bacteria around veins was observed but no bacterial growth at the part with leaf hairs. Our data demonstrated that soybean leaf hairs play an important role as a physical barrier for structural resistance of soybean against bacterial pustule pathogen.