• Proceedings of the Korean Society of Crop Science Conference
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• 2022.04a
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• pp.21-21
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• 2022

• Proceedings of the Korean Society of Crop Science Conference
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• 2021.10a
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• pp.195-195
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• 2021

• Proceedings of the Korean Society of Crop Science Conference
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• 2021.10a
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• pp.199-199
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• 2021

• Proceedings of the Korean Society of Crop Science Conference
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• 2021.04a
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• pp.112-112
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• 2021

• The Plant Pathology Journal
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• v.37 no.3
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• pp.307-314
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• 2021

Pepper (Capsicum annuum L.) is an important agricultural crop worldwide. Recently, Colletotrichum scovillei, a member of the C. acutatum species complex, was reported to be the dominant pathogen causing pepper anthracnose disease in South Korea. In the present study, we isolated bacterial strains from rhizosphere soil in a pepper field in Gangwon Province, Korea, and assessed their antifungal ability against C. scovillei strain KC05. Among these strains, a strain named BS1 significantly inhibited mycelial growth, appressorium formation, and disease development of C. scovillei. By combined sequence analysis using 16S rRNA and partial gyrA sequences, strain BS1 was identified as Bacillus velezensis, a member of the B. subtilis species complex. BS1 produced hydrolytic enzymes (cellulase and protease) and iron-chelating siderophores. It also promoted chili pepper (cv. Nockwang) seedling growth compared with untreated plants. The study concluded that B. velezensis BS1 has good potential as a biocontrol agent of anthracnose disease in chili pepper caused by C. scovillei.

• Journal of Internet of Things and Convergence
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• v.2 no.2
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• pp.27-36
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• 2016

These days, many people are interested in healthy eating. They want to buy organic fruits and organic vegetables for their wellbeing life or to grow the plants themselves. However, if you buy the organic fruits or vegetables carrying costs a lot of money, it would be difficult to bring the plants directly. In this paper, we propose the Smart Plant Growth Chamber to grow plants directly at home. Through proposed the Smart Plant Growth Chamber, users can grow the plants with minimum effort in optimized environment without need to know detailed information about to grow the plants. Also, users can feel fun of growing plants through online activities of the smart plant growth chamber, it is believed to contribute to a health eating.

• Journal of Korean Institute of Industrial Engineers
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• v.43 no.1
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• pp.12-18
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• 2017

This study presents a plant concept design for a smart factory which is mainly targeted to machine airplane parts. The plant layout is based on the TOC-DBR approach together with autonomous distributed factory control considered, while discrete event simulation is also performed in order to validate its layout. The resulting layout and its procedure turn out to be quite a useful guideline in realizing those smart factories especially for machining-oriented manufacturing industries.

• Journal of the Korea Safety Management & Science
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• v.14 no.4
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• pp.211-218
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• 2012

In this paper, we propose a system architecture of the AMI to be applied in the modern agricultural sector. Agricultural electricity costs in South Korea is very inexpensive compared with other industries. It is expected to increase oil prices to rise over the medium to long term so the facilities must to be installed for farmers in terms of energy savings and energy costs. The research and development of plant factory which can replace the ills of modern agriculture is very active. The technologies of smart grid and plat factory are good paradigm of next generation agricultural sector. Good use of smart grid technologies, the traditional energy consumption industries, agriculture sector can be self-sufficiency industry. In this article the AMI architecture is developed and it will be applicable for modern farmers plant factory.

• Journal of the Korea Convergence Society
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• v.12 no.6
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• pp.1-8
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• 2021

The purpose of this study is to study the interaction structure of a smart farm for controlled environment horticulture. As a research method, interaction factors were analyzed by defining the growth stages of humans, plants, and plants, which are the subjects of interaction during the production, distribution, sales and consumption stages of smart farms. Additionally, on-site survey was used to differentiate between one-time, short-term, and long-term, depending on the behavior and operation of the interacting entity and time. As a result, the research came up to a finding that 1) Human and Plant are based on interactions of 'one-time, short-term' 2) Plant and Smart Farm as 'short-term' 3) Smart Farm and Human as 'short-term and long-term'. For this reason, this study is meaningful in deriving the relationship between the subjects and the interaction elements in the production stage of the smart farm and presenting a new interaction structure model by structuring them.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.04a
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• pp.101-101
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• 2022