• The Plant Pathology Journal
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• 제22권4호
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• pp.375-380
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• 2006

In the survey from 1992 to 2000, twenty-eight parasitic diseases were observed in major apple producing areas in Korea. The predominant apple diseases were white rot(Botryosphaeria dothidea), Marssonina blotch(Marssonina mali), Valsa canker(Valsa ceratosperma), Alternaria leaf spot(Alternaria mali), and bitter rot(Collectotrichum gloeosporioides and C. acutatum). Apple scab that reappeared in 1990 after disappearance for 15 years was disappeared again since 1997. A viroid disease(caused by apple scar skin viroid) was newly found in this survey. The five diseases, fire blight(Erwinia amylovora), black rot(Botryosphaeria obtusa), scab(Cladosporium carpophilum), Monochaetia twig blight(Monochaetia sp.), and brown leaf spot(Hendersonia mali), which had once described in 1928 but no further reports on their occurrence, were not found in this survey. However, blossom blight(Monilinia mali), brown rot(Monilinia fructigena), and pink rot(Trichothecium roseum), which did not occur on apple after mid 1970s, were found in this survey.

• International Journal of Computer Science & Network Security
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• 제21권7호
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• pp.324-330
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• 2021

Agriculture is one of the essential needs of human life on planet Earth. It is the source of food and earnings for many individuals around the world. The economy of many countries is associated with the agriculture sector. Lots of diseases exist that attack various fruits and crops. Apple Tree Leaves also suffer different types of pathological conditions that affect their production. These pathological conditions include apple scab, cedar apple rust, or multiple diseases, etc. In this paper, an automatic detection framework based on deep learning is investigated for apple leaves disease classification. Different pre-trained models, VGG16, ResNetV2, InceptionV3, and MobileNetV2, are considered for transfer learning. A combination of parameters like learning rate, batch size, and optimizer is analyzed, and the best combination of ResNetV2 with Adam optimizer provided the best classification accuracy of 94%.

• 한국유기농업학회지
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• 제5권1호
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• pp.137-147
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• 1996

For the purpose of acquiring microbial agents that can be utilized to biologically control the major airborne diseases to apple trees, such as canker(Botryosphaeria dothidea), bitter rot(Glomerella cingulata), alternaria leaf spot(Alternaria mali), root rot(rosellinia necatrix), canker(Valsa ceratosperma) and gray mold rot(Botrytis cinerea), the effective microorgaisms were isolated, tested for antagonistic activity to the pathogens causing major diseases to apple trees and identifed. Screening of more than 5,000 species of microorganisms collected in nature for them antagonistic action to the pathogens causing 5 major diseases to apple trees resulted in selection of effective species. Out of the 11 species, one species designated as CAP134 demonstrated outstanding activity. The bacterial strain, CAP134 exerted antagonistic efficiency of 57% on an isolated strain and 40% on a donated strain of Botryosphaeria dothidea., 52% on an isolated strain and 46% on a purchased strain of Alternaria mali, 60% on Valsa ceratosperma 25% on Glomerella cingulata, and 64% Rosellinia necatrix. The CAP134 was identified as a bacterial strain to Bacillus subtilis ATCC 6633 based on morephology, culture conditions, and physio-biochemical characteristics.

• Journal of Information Processing Systems
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• 제17권6호
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• pp.1115-1126
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• 2021

Plant disease is one of the most irritating problems for agriculture growers. Thus, timely detection of plant diseases is of high importance to practical value, and corresponding measures can be taken at the early stage of plant diseases. Therefore, numerous researchers have made unremitting efforts in plant disease identification. However, this problem was not solved effectively until the development of artificial intelligence and big data technologies, especially the wide application of deep learning models in different fields. Since the symptoms of plant diseases mainly appear visually on leaves, computer vision and machine learning technologies are effective and rapid methods for identifying various kinds of plant diseases. As one of the fruits with the highest nutritional value, apple production directly affects the quality of life, and it is important to prevent disease intrusion in advance for yield and taste. In this study, an improved deep residual network is proposed for apple leaf disease identification in a novel way, a global residual connection is added to the original residual network, and the local residual connection architecture is optimized. Including that 1,977 apple leaf disease images with three categories that are collected in this study, experimental results show that the proposed method has achieved 98.74% top-1 accuracy on the test set, outperforming the existing state-of-the-art models in apple leaf disease identification tasks, and proving the effectiveness of the proposed method.

• 농약과학회지
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• 제2권2호
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• pp.83-89
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• 1998

사과 주산단지로부터 1995년부터 1997년까지 3개년에 걸쳐 저장시 부패를 일으키는 병 피해를 조사하고 분리된 병원균의 병원성을 검정한 결과, Alternaria spp., Botryosphaeria dothidea, Botrytis cinerea, Fusarium spp., and Penicillium spp. 등 10종의 진균이 분리되었으며, 그 중 Botrytis cinerea, Penicillium spp. 및 Fusarium은 분리빈도도 높았고 병원성도 높았다. 균사생장에 있어서 Penicillium spp.은 $10{\sim}30^{\circ}C$에서, Botrytis cinerea 및 Alternaria spp.는 $5{\sim}30^{\circ}C$의 범위에서 잘 되었다. Penicillium spp.와 Alternaria spp.는 pH와 관련없이 생장하는 것으로 나타났고 Botrytis cinerea는 pH가 증가함에 따라 생장이 감소되었다. 포자 형성에 있어서는 Penicillium spp.는 $15{\sim}25^{\circ}C$, Botrytis cinerea는 $10{\sim}20^{\circ}C$에서 양호하였다. 사과선과가 저장병 발생에 미치는 영향을 조사한 결과 선과를 소홀히 할 경우 피해가 큰 것으로 나타났다. 생육기중 건전과일을 채취하여 과피서식미생물을 조사한 결과 저장병에 관여하는 대부분의 진균이 분리된 점으로 보아 저장병균은 포장에서 오염되어 저장기간 중에 병을 일으키는 것으로 판명되었다. 사과저장병해를 줄이기 위하여 프로라츠 유제등 사과병해방제용 약제를 수확전 30일에 살포한 결과 저장병 피해를 현저히 줄일 수 있었다.

• 식물병연구
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• 제26권2호
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• pp.88-94
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• 2020

Recently, the severe dieback of apple trees resulting from soil-borne diseases has occurred in South Korea. The casual agents of dieback were surveyed on 74 apple orchards that had been damaged nationwide in 2016-2019. The number of apple orchards affected alone by Phytophthora rot, violet root rot, and white root rot was 31, 34, and 3, respectively. Also, the total number of mixed infection orchards was 6. Out of 9,112 apple trees affected by dieback, the trees damaged by Phytophthora rot, violet root rot, and white root rot were 3,332, 3,831, and 44, respectively. Moreover, the total number of mixed infection apple trees was 1,905. The provinces mainly affected were Gyeongnam, Gyeongbuk, Chungbuk, and Jeonbuk. The survey on these infected apple orchards will be available to form management strategy for the dieback that had been increased by soil-borne fungal pathogens.

• 식물병연구
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• 제24권4호
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• pp.249-256
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• 2018

1992년부터 2010년까지 경북 군위를 비롯한 사과 주산지 8개 지역에서 사과의 잎에 발병하는 병의 발생상황을 조사하였다. 사과의 잎에 발병하는 주요 병은 붉은별무늬병, 잿빛곰팡이병, 점무늬낙엽병, 갈색무늬병이였다. 지난 19년간 사과 잎에 발병하는 병의 발생양상은 상당히 많이 변해왔는데, 1990년대 초반, 발생이 많아 문제가 되었던 붉은별무늬병, 검은별무늬병은 1990년대 후반 이후 발생이 감소하거나 발생하지 않았다. 잿빛곰팡이병은 일부 과원에 따라 발병이 관찰되었으며, 점무늬낙엽병과 갈색무늬병의 발병은 지속적으로 발병이 관찰되었다. 병해발생상황은 기상조건, 재배조건 및 방식, 약제 살포 체계 등 다양한 요인에 의해 변화한 것으로 판단된다. 이러한 병해들의 발생상황의 변화에 대한 조사는 장기적이고 지속적인 모니터링이 필요할 것으로 판단된다.

• The Plant Pathology Journal
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• 제38권4호
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• pp.355-365
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• 2022

Erwinia amylovora and E. pyrifoliae are the causative agents of destructive diseases in both apple and pear trees viz. fire blight and black shoot blight, respectively. Since the introduction of fire blight in Korea in 2015, the occurrence of both pathogens has been independently reported. The co-incidence of these diseases is highly probable given the co-existence of their pathogenic bacteria in the same trees or orchards in a city/district. Hence, this study evaluated whether both diseases occurred in neighboring orchards and whether they occurred together in a single orchard. The competition and virulence of the two pathogens was compared using growth rates in vitro and in planta. Importantly, E amylovora showed significantly higher colony numbers than E. pyrifoliae when they were co-cultured in liquid media and co-inoculated into immature apple fruits and seedlings. In a comparison of the usage of major carbon sources, which are abundant in immature apple fruits and seedlings, E. amylovora also showed better growth rates than E. pyrifoliae. In virulence assays, including motility and a hypersensitive response (HR), E. amylovora demonstrated a larger diameter of travel from the inoculation site than E. pyrifoliae in both swarming and swimming motilities. E. amylovora elicited a HR in tobacco leaves when diluted from 1:1 to 1:16 but E. pyrifoliae does not elicit a HR when diluted at 1:16. Therefore, E. amylovora was concluded to have a greater competitive fitness than E. pyrifoliae.

• 한국치위생학회지
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• 제24권2호
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• pp.91-98
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• 2024

Objectives: This case study aimed to evaluate changes in periodontal pathogens and systemic disease indicators following the adjunctive use of probiotics for periodontal treatment. Methods: Two adults, a 64-year-old male and 71-year-old female, were selected with ethical approval and underwent comprehensive oral and systemic health assessments before and after probiotic intake with periodontal debridement. Results: There was a significant reduction in the periodontal pathogens, particularly Porphyromonas gingivalis and Treponema forsythia, and no adverse systemic indicators were observed. Moreover, a trend toward improved lipid profiles was noted, suggesting a potential positive impact on systemic health. Conclusions: This study shows the potential role of probiotics in enhancing oral health and preventing systemic diseases, thus highlighting the need for further research and clinical trials.

• 한국식물병리학회지
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• 제11권1호
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• pp.17-29
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• 1995

This study was conducted from 1991 to 1993 to develop a fungicidal spray program for the apples exportable to the United States of America, in which quarantine and pesticide residue in agricultural products are strictly regulated. In 1991, 2 spray schedules were applied to an orchard, in one of which the 7 fungicides registered for apple both in Korea and U.S. were used, and in the other of which the Bordeaux mixture for which the tolerance was exempted in U.S. was used 2 times along with those 7 fungicides. The apple white rot and fruit infection by Alternaria mali were not effectively controlled by the 7 fungicides alone; however, the control efficacy was raised by adding the Bordeaux mixture to the spray schedule. In 1992, 4 spray schedules were applied in which the kinds of fungicides and spray intervals were different one another. The results suggested that an effective spray program can be developed by adopting the Bordeaux mixture for 3 times or adopting the imminoctadine-triacetate which has not tolerance level in U.S. for same times in the vulnerable stage of apple white rot and alternaria blotch. In spite of the high efficacies against major apple diseases, the Bordeaux mixture could not be recommended to the apple growers due to the various defects such as restrictions in compatibility with insecticides and acaricides, troublesomeness in preparation and spray, especially the harmful effect on the finish of Fuji apples. In 1993, a spray program adopting 3 times of imminoctadine-triacetate during the growing season of apple was developed, which not only can effectively control the major apple diseases but also avoid the pesticide residue problems if it was sprayed 2 or 3 times after bagging. On the basis of the 3 years results, a basic fungicide spray program was formulated in which 1~3 times of imminoctadine-triacetate and 1~2 times of bitertanol were adopted in addition of the 7 common fungicides registered in both countries. In the results of application of the spray schedule to the actual farming in the 4 areas of Kyungpook Province in 1994, no noticeable defects were detected at the first year trial. However, this spray program will be continuously evaluated and modified to obtain better control efficacies against major apple diseases.