• Journal of Korean Society of Rural Planning
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• v.25 no.1
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• pp.21-38
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• 2019

Korean agricultural industry has weakened as demand for domestic agricultural products has declined due to accelerating market liberalization, aging and shrinking of rural population, and stagnating rural households' incomes. On the other hand, as the forth industrial revolution unfolds in earnest, tremendous changes are expected, and those changes won't be confined to certain industries but would shaken the world we know of entirely. Smart farm, which is one example of the fourth industrial revolution, is increasingly being recognized as a new growth engine for the future as smart farm and the science and technology behind it, not the size of arable land, will determine competitiveness of the agricultural industry and drive agricultural productivity and managerial efficiency. In consideration that John W. Kingdon's Multiple Streams Framework has recently been presented as an important theoretical model in the policy field, this study analyzed problem stream, policy stream, and political stream in the process of forming the smart farm policy, and looked into what role the government played as policy entrepreneur in policy window. The smart farm policy was put on policy agenda by the government and was approved when the government announced the Smart Farm Plan together with relevant ministries at the 5th Economy-Related Ministers' Meeting held in April 2018. This suggests that change of the government is the most critical factor in political stream, and explicitly indicates the importance of politics in formation of an agricultural policy. In addition, actual outcome of the policy and how policy alternatives that will enhance people's understanding will support it seem to be the key to success. It also shows that it is important that policy alternatives be determined based on sufficient discussion amongst stakeholders.

• 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.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.4
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• pp.719-724
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• 2021

In this paper, we studied properties of smart farms that can automatically control not only the temperature and humidity but also the illumination to improve plant productivity. The smart farm was designed to allow the controllers to operate through Arduino by receiving input values from each sensor. In addition, to maximize the convenience of smart farm, the Bluetooth communication module is used to control the smart phone. The study confirmed that the automation function of smart farms can create an environment suitable for plants to grow.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.450-453
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• 2017

국내 농업의 경쟁력을 향상하고 농업인구의 부족과 노령화 문제를 해결하기 위해서 스마트 팜을 도입하고 있다. 그러나 스마트 팜이 실제 농업 경쟁력을 향상하고 농업종사자 부족과 노령화 문제를 해결하기에는 여러 가지 문제점들을 내포하고 있다. 본 논문에서는 이 같은 문제점들을 해결하기 위한 방안을 제시한다.

• Journal of Digital Convergence
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• v.17 no.6
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• pp.145-157
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• 2019

This study is to look at the influential factors associated with the acceptance intention of smart farm and suggest a proposal for spreading adoption of smart farms. The research questionnaire distributed to the farmers were used for the research analysis by statistical program SPSS v22.0 and Process macro v3.0. The technical characteristics of smart farm, which are availability, reliability and economic efficiency were selected as independent variables to analyze the influential factors on acceptance intention of smart farm and the mediating effect of effort expectation was observed. As a result, availability and economic efficiency have a positive(+) influence on acceptance intention and reliability have no influence on acceptance intention. And availability, reliability and economic efficiency have a positive(+) influence on effort expectation. Effort expectation mediates the relationship between the technical characteristics of smart farm and acceptance intention. The results of the study are expected to be utilized at the seeking direction of policy for potential adopters of smart farm, the training and consulting in actual field of smart farm.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.1
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• pp.130-133
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• 2020

Smart pig farm which is based on IoT has been widely adopted by many pig farmers. In order to achieve optimal control of smart pig farm, the relation between environmental conditions and performance metric should be characterized. In this study, the relation between multiple environmental conditions including temperature, humidity and various performance metrics, which are daily gain, feed intake, and MSY, is analyzed based on data obtained from 55 real pig farm. Especially, based on preprocessing of data, various regression based machine learning algorithms are considered. Through performance evaluation, we show that the performance can be predicted with high precision, which can improve the efficiency of management.

• Journal of People, Plants, and Environment
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• v.24 no.3
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• pp.257-266
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• 2021

Background and objective: Vertical smart farm (VSF) is an alternative that contributes to solving various problems such as climate change and food shortage. This study focused on the types and awareness of VSF to introduce and diffuse VSF. We aimed to investigate the types of VSF and citizens' awareness on VSF. We analyzed 1) where the smart farm technology could be implemented on a building; 2) what citizens think about VSF; and 3) suggested what is most necessary for the introduction and diffusion of VSF in the future based on citizens' perception. Methods: VSF types were investigated through case studies on VSF in Korea and overseas. Citizens' perception on VSF was investigated through a questionnaire survey. A statistical analysis was conducted with the survey results for implications of the introduction and diffusion of VSF. Results: Four types of VSF were derived: rooftop farms, facade farms, indoor farms, and farms using the whole building. The survey showed that 29.2%, 27.8%, and 22.2% of respondents knew well about urban agriculture, smart farms, and vertical smart farms, respectively. Respondents answered that improving awareness is the most important factor to introduce VSF. According to the statistical analysis, it was determined that education and promotion of the necessity of VSF would be important to diffuse the VSF. Conclusion: VSF can be a solution to a variety of problems we face. The results of this study suggest a direction for the introduction and diffusion of VSF. In order to introduce VSF in the future, additional studies must be conducted on the legal system.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.6
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• pp.225-233
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• 2010

Recently, in the field of Smart Grid, Smart Home Network, Ubiquitous Computing, etc. we have continued to study Smart Information Monitoring Technology(SIMT) which exchange, control and monitor information collected and processed by need in real-time and two-way. In this paper, we understand application products or recent trends of SIMT for Energy, U-Farm, Vehicle Information and Home Network. Specially, we explain Google PowerMeter which exchange information with Smart Meter of core part of the smart grid at real-time, Real-time Monitoring System(RMS) for U-Farm, RMS for vehicle status Information. we subscribe Smart Information Monitoring Technology application based on ZigBee of low price, low power or related work. Finally we subscribe actual proof construction situation of Jesu for smart grid.

• Journal of Convergence for Information Technology
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• v.10 no.2
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• pp.15-20
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• 2020

In this paper, we propose an ICT-based smart farm design. At present, the decrease in rural population is naturally inevitable due to the decrease of the total population. The economic burden on each farm grows with increasing labor costs. As a solution to this, the necessity of spreading smart farms using computing resources is emerging. The proposed system utilizes the ICT technology emerging from the Fourth Industrial Revolution. We will use big data analysis to collect a large amount of data and propose a platform for managing collected data and providing efficient services. The proposed platform consists of SOA service layer, middleware layer, resource pool layer and physical resource layer. ICT-based smart farm service can reduce costs and be easy to install and manage because ICT-based smart farm service provides only necessary functions from the user's point of view.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.171-177
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• 2020

Under the influence of the Fourth Industrial Revolution, there are many tries to promote productivity enhancement and competitiveness by adapting smart farm technology that converges ICT technologies in agriculture. This smart farming technology is emerging as a new paradigm for future growth in agriculture. The development of real-time cultivation environment monitoring and automatic control system is needed to implement smart farm. Furthermore, the development of intelligent system that manages cultivation environment using monitoring data of the growth of crops is required. In this paper, a fast and efficient development method for implementing a cloud-based smart farm management system using a highly compatible and scalable web platform is proposed. It was verified that the proposed method using the web platform is effective and stable system implementation through the operation of the actual implementation system.