• Journal of Practical Agriculture & Fisheries Research
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• v.24 no.4
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• pp.5-10
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• 2022

After ginseng seeds were planted in sand, the first experiment was conducted by germinating seeds with a nutrient concentration of 0 to 2.5. The average germination rate was highest in EC 1.0 with a nutrient concentration of 87%, followed by the comparative group with EC 1.5, 82%, EC 2.0, 78%, EC 2.5, 72%, EC 0.5, 71%, and con, 68%. Ginseng seeds were sown in the sandy soil, grown for 60 days were transferred to the ginseng soil, and the second growth experiment was conducted 30 days later. As a result of the experiment, at the nutrient concentration of EC 1.5, it grew from 11.64cm to 15.54cm, the average total length(cm)increased the most from 3.90cm. At the EC 1.0, nutrient concentration, the average total weight(g)increased the most from 0.42g to 0.75g to 0.33g. At the EC 0.5, nutrient concentration, the average total root width(mm) increased the most from 4.06mm to 5.52mm to 1.46mm.

• Electronics and Telecommunications Trends
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• v.30 no.2
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• pp.49-58
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• 2015

최근 농업분야에 있어 ICT(Information and Communications Technology)기술을 접목하여 농/축산물 및 식품의 생산, 유통, 판매, 소비 전주기 프로세스에 대한 생산성, 안전성, 경제성 및 품질 향상과 각 단계의 활동 주체(생산, 유통, 소비)들 간에 상생의 생태계 구축을 위한 스마트농업 기술이 대두되고 있다. 이 스마트농업 기술은 농업 가치사슬 전반에 걸쳐 IT(Information Technology)와의 접목을 통해 1차 산업인 농업을 6차 산업으로 발전시킴으로써, 고기능, 고효율화는 물론, 부가가치 제고, 생산비 절감, 환경오염 최소화, 농촌생활의 편리성 증대로 지속 가능한 농업을 구현할 수 있을 것으로 기대되는 기술이다. 본고에서는 스마트농업 기술에 관한 배경, 정책 및 시장동향, 기술 및 표준화동향을 제시하고 향후 지속적인 발전을 위한 스마트농업에 관한 표준화 정책을 제언한다.

• Agribusiness and Information Management
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• v.12 no.2
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• pp.24-39
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• 2021

As the number of fields adopting ICT (Information and Communication Technology) increased, it was necessary to diagnose the information service status of corporations and present improvement plans in agriculture. Therefore, we designed and conducted various surveys to understand the information service status of domestic agricultural company corporations.The research included ways to utilize information technology, establishing infrastructure related to information technology, current status of information technology application and impact on performance. Specifically, the main purpose of this study was to subdivide related corporations by industry and sales level and provide differentiated management implications for each sector. This is because the type of information service and information technology support that each corporation needs varies greatly depending on the industry and sales level. We provide customized management and policy proposals based on descriptive statistics and regression techniques.

• Korean Journal of Agricultural Science
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• v.49 no.1
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• pp.31-43
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• 2022

The global trade environment is rapidly changing. The spread of COVID-19 promotes digitalization, and online transactions are becoming the new normal. Currently, Korea is actively introducing information and communication technology (ICT) that uses the internet of things (IoT) in relation to agriculture. However, few studies have analyzed the impact of digitalization on trade in the agricultural sector. Thus, the purpose of this study is to examine how the introduction of digital technology can affect the economy and trade of Korea. In this study, we estimate the impact of introducing digital technologies using the computable general equilibrium (CGE) model. The results of this analysis indicate that the GDP could increase by 3.82% to 10.53%. Also, agricultural production and trade according to the model will significantly increase to 8.67% and 5.72%, respectively, through a productivity increase from Blockchain, IoT, and artificial intelligence (AI) technologies, despite logistics inefficiencies. Although the effects of digitalization could be significant, farmers are still struggling to introduce digital technologies, stemming from the fact that government support systems are concentrated in only a few sub-sectors. In this regard, support in this area must be expanded and diversified according to the current environment of agriculture in Korea.

• Journal of the Korean Applied Science and Technology
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• v.38 no.1
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• pp.241-262
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• 2021

This paper reviewed the necessity of a information and communication technology (ICT)-based smart livestock system as a development strategy for the animal life industry in the future. It also predicted the trends of livestock and animal food until 2050, 30 years later. Worldwide, livestock raising and consumption of animal food are rapidly changing in response to population growth, aging, reduction of agriculture population, urbanization, and income growth. Climate change can change the environment and livestock's productivity and reproductive efficiencies. Livestock production can lead to increased greenhouse gas emissions, land degradation, water pollution, animal welfare, and human health problems. To solve these issues, there is a need for a preemptive future response strategy to respond to climate change, improve productivity, animal welfare, and nutritional quality of animal foods, and prevent animal diseases using ICT-based smart livestock system fused with the 4th industrial revolution in various aspects of the animal life industry. The animal life industry of the future needs to integrate automation to improve sustainability and production efficiency. In the digital age, intelligent precision animal feeding with IoT (internet of things) and big data, ICT-based smart livestock system can collect, process, and analyze data from various sources in the animal life industry. It is composed of a digital system that can precisely remote control environmental parameters inside and outside the animal husbandry. The ICT-based smart livestock system can also be used for monitoring animal behavior and welfare, and feeding management of livestock using sensing technology for remote control through the Internet and mobile phones. It can be helpful in the collection, storage, retrieval, and dissemination of a wide range of information that farmers need. It can provide new information services to farmers.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.6
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• pp.1221-1226
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• 2019

The importance of livestock production of agriculture in Korea is very large. Investments in sanitation facilities and environmental factors such as animal health and odor have been relatively crude, and over the past few years animal disease has emerged as the leading cause of domestic livestock farmers' income stability. There is a need for an access control system that can be purchased and installed by small and medium-sized farmers who are suffering from pollutants and small farmers who can not afford to install costly sterilization on an economical basis. In this paper, based on the plasma access control system proposed previously, we developed an ICT surveillance access control prototype system that can ensure safety and security through access control and integrated control system that introduces a sterilization system using plasma required by farmers affected by pollutants.

• Journal of Plant Biotechnology
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• v.43 no.1
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• pp.21-29
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• 2016

Remote Sensing (RS) is a technique to obtain necessary information in a non-contact and non-destructive method by using various sensors on the surface, water or atmospheric phenomena. These techniques combine elements such as sensors, and platform and information communication technology (ICT) for mounting the sensor. ICT has contributed significantly to the success of smart agriculture through quantification and measurement of environmental factors and information such as weather, crop and soil management to distribution and consumption stage, as well as the production stage by the cloud computer. Remote sensing techniques, including non-destructive non-contact bioimaging (remote imaging) is required to measure the plant function. In addition, bioimaging study in plant science is performed at the gene, cellular and individual plant level. Recently, bioimaging technology is considered the latest phenomics that identifies the relationship between the genotype and environment for distinguishing phenotypes. In this review, trends in remote sensing in plants, plants diagnostics and response to environment and status of plants phonemics research were presented.

• Korean Journal of Agricultural and Forest Meteorology
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• v.25 no.4
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• pp.427-435
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• 2023

Changes in flowering time due to weather fluctuations impact plant growth and ecosystem dynamics. Accurate prediction of flowering timing is crucial for effective forest ecosystem management. This study uses a process-based model to predict flowering timing in 2023 for five major tree species in Korean forests. Models are developed based on nine years (2009-2017) of flowering data for Abeliophyllum distichum, Robinia pseudoacacia, Rhododendron schlippenbachii, Rhododendron yedoense f. poukhanense, and Sorbus commixta, distributed across 28 regions in the country, including mountains. Weather data from the Automatic Mountain Meteorology Observation System (AMOS) and the Korea Meteorological Administration (KMA) are utilized as inputs for the models. The Single Triangle Degree Days (STDD) and Growing Degree Days (GDD) models, known for their superior performance, are employed to predict flowering dates. Daily temperature readings at a 1 km spatial resolution are obtained by merging AMOS and KMA data. To improve prediction accuracy nationwide, random forest machine learning is used to generate region-specific correction coefficients. Applying these coefficients results in minimal prediction errors, particularly for Abeliophyllum distichum, Robinia pseudoacacia, and Rhododendron schlippenbachii, with root mean square errors (RMSEs) of 1.2, 0.6, and 1.2 days, respectively. Model performance is evaluated using ten random sampling tests per species, selecting the model with the highest R². The models with applied correction coefficients achieve R² values ranging from 0.07 to 0.7, except for Sorbus commixta, and exhibit a final explanatory power of 0.75-0.9. This study provides valuable insights into seasonal changes in plant phenology, aiding in identifying honey harvesting seasons affected by abnormal weather conditions, such as those of Robinia pseudoacacia. Detailed information on flowering timing for various plant species and regions enhances understanding of the climate-plant phenology relationship.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.617-618
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• 2015

IT convergence with agriculture is expected to bring more efficiency and quality improvement in pre-production stage, Production stage, post-production stage of agricultural products with the aid of information processing and autonomous control technologies of the IT area. This paper describes the actualized convergence service for agriculture, namely Smart Farming as a solution to cope various problems caused by severe conditions or the gap of viewpoints between the people engaged in farming and the IT engineers. In particular this defines service capabilities for Smart Farming, provides a reference model for Smart Farming, and identifies network capabilities required to produce an infrastructure which supports Smart Farming.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.718-720
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• 2017

IT convergence with agriculture and livestock farming are expected to bring more efficiency and quality improvement in producing, distributing, consuming of agricultural products with the aid of information processing and autonomous control technologies of the IT area. In this paper, it is analyzed reference model and consider the actualized IT convergence case for agriculture and livestock, namely Smart Farming and Smart livestock Farming as a solution to cope the presented problems.