• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.4
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• pp.505-514
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• 2015

This paper proposes a probabilistic generation assessment model of renewable energy generators(REGs) considering uncertainty of resources, mainly focused on Wind Turbine Generator(WTG) and Solar Cell Generator(SCG) which are dispersed widely in South Korea The proposed numerical analysis method assesses the one day-ahead generation by combining equivalent generation characteristics function and probabilistic distribution function of wind speed(WS) and solar radiation(SR) resources. The equivalent generation functions(EGFs) of the wind and solar farms are established by grouping a lot of the farms appropriately centered on Weather Measurement Station(WMS). First, the EGFs are assessed by using regression analysis method based on typical least square method from the recorded actual generation data and historical resources(WS and SR). Second, the generation of the REGs is assessed by adding the one day-ahead resources forecast, announced by WMS, to the EGFs which are formulated as third order degree polynomials using the regression analysis. Third, a Renewable Energy Generation Assessment System(REGAS) including D/B of recorded actual generation data and historical resources is developed using the model and algorithm predicting one day-ahead power output of renewable energy generators.

• Smart Media Journal
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• v.11 no.4
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• pp.19-29
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• 2022

Recently, with the development of IoT technology, the number of farms using smart farms is increasing. Smart farms monitor the environment and optimise internal environment automatically to improve crop yield and quality. For optimized crop cultivation, researches on predict crop productivity are actively studied, by using collected agricultural digital data. However, most of the existing studies are based on statistical models based on existing statistical data, and thus there is a problem with low prediction accuracy. In this paper, we use various predition models for predicting the production and sales profits, and compare the performance results through models by using the agricultural digital data collected in the facility horticultural smart farm. The models that compared the performance are multiple linear regression, support vector machine, artificial neural network, recurrent neural network, LSTM, and ConvLSTM. As a result of performance comparison, ConvLSTM showed the best performance in R2 value and RMSE value.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.1
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• pp.15-20
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• 2022

With the arrival of the fourth industrial era, demand for agriculture is increasing day by day, and smart farm technology, in which computers manage agriculture in line with the current situation, is developing. However, agricultural workers who use it find it difficult to set up and use a management system for smart farms. This paper aims to establish a Lab-View smart farm management system to facilitate the use of a control program for ICT technology farms (hereinafter referred to as smart farms), one of the promising projects of the next industrial revolution. Based on Lab-View, users simply set the type of crops they want to grow, set appropriate temperature/humidity data for each set crop, and collect data in real time through sensors and store it in DB. This functionality maximizes convenience and usability in terms of users.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.285-286
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• 2021

With the recent development of Internet of Things (IoT) technology, smartization technology is expanding to the fields of agriculture, livestock, and fisheries, and smartization is in progress. In this smart technology, the most important thing is how to measure the data in the field and transmit it to the management system. Currently, the sensors used in the construction of smart farms and other livestock houses and farms are measuring and monitoring smart farms and other environmental conditions through various sensors such as temperature, humidity, CO gas, CO2, hydrogen, and O2. The communication method between these sensors and the HMI (Human Machine Interface) module that controls and manages the smart farm is still mainly using the RS-485-based modbus-RTU method. In this paper, we intend to design the MCU module for HMI so that various sensor modules can be connected to manage data through the RS-485-based Modbus method so that the sensor data required for smart farm construction can be managed by the HMI module.

• Journal of fish pathology
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• v.37 no.1
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• pp.71-78
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• 2024

Streptococcosis, caused by Streptococcus iniae and Streptococcus parauberis is an important bacterial disease that affects in olive flounder in Korea. In Korea, multivalent bacterial vaccines are used to prevent streptococcal diseases in aquaculture. In this study, commercial vaccines containing formalin-inactivated bacterial cells of S. iniae and S. parauberis were administered at six fish farms and one unvaccinated fish farm were designated for investigation (Wando; 4 sites and Jeju; 3 sites). Blood was collected from vaccinated and unvaccinated olive flounders, and titers of antibodies against S. iniae and S. parauberis in serum were analyzed using ELISA. After a one shot vaccination in the farms at Jeju (farm A) and Wando (farm D), the proportion of individuals with specific antibodies against S. parauberis OD values of 0.4 or higher was 60% and 53.5%, respectively. But after booster vaccination, the proportion of individuals with serum OD values of 0.4 or higher was higher substantially increased to 96.6% (farm A) and 100% (farm D). The levels of S. parauberis specific antibodies of olive flounder were increased after vaccination in three fish farms (farm D, E, and F), but not S. iniae specific antibodies.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.1
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• pp.209-216
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• 2024

Land shrimp farms can control the growth environment more stably than coastal ones, making them advantageous for high-quality, large-scale production. In order to maintain an optimal shrimp growth environment, various factors such as water circulation, maintaining appropriate water temperature, oxygen supply, and feed supply must be managed. In particular, failure to properly manage water quality can lead to the death of shrimp, making it difficult to have people stationed at the farm 24 hours a day to continuously manage them. In this paper, to solve this problem, we design an integrated monitoring system for land farms that can be operated with minimal manpower. The proposed design plan uses IoT technology to collect real-time images of land farms, pump status, water quality data, and energy usage and transmit them to the server. Through web interfaces and smartphone apps, administrators can check the status of the farm stored on the server anytime, anywhere in real time and take necessary measures. Therefore, it is possible to significantly reduce field work hours without the need for managers to reside in the farm.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.665-667
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• 2018

The agriculture is the first industrial technology to lay the foundation for human development and is an essential component to human survival. With the emergence of various industries, agriculture has become a relatively neglected industry. However, with the recent development of IT technology, agricultural technology has found an infinite potential for development and has been selected as a promising industry that will not be lost in the future. Smart Farm improved the quality of life by improving the poor working environment of existing farmers. In addition, it is expected that physically disadvantaged workers can participate in the industry, and by promoting the inflow of excellent workers, the staff can be increased and the level can be increased. Currently, smart farms are in the early stages of commercialization and need to develop more diverse technologies. The project aims to popularize smart farms and to collect and database crop growth environment information through sensors.

• The Korean Journal of Malacology
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• v.28 no.3
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• pp.259-267
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• 2012

Due to the oil spill incident in December 2007, every facility of oyster culture was removed in western coast especially in Taean and Seosan. To restore oyster resources in Taean and Seosan, we brought oyster seeds from southern area and monitored their growth. In addition we monitored the culture environment throughout the year, and observed the number of oyster larvae and attached spats on collectors during summer. The factors of water environment were appropriate for oyster culture in both study area. The growth of shell height was larger in Uihang-ri, Taean than Jungwang-ri, Seosan. Spawning was more intensive in a short time in Jungwang-ri, Seosan than Uihang-ri, Taean. The number of oyster larvae and spats of collectors were much more in Jungwang-ri, Seosan than Uihang-ri, Taean. This study showed that transplantation of healthy oyster seeds from southern area can be a way of restoration of oyster resources in western coast. In addition, systematic approaches are necessary by building a better understanding of regional characteristics to restore and enlarge the oyster culture farms in western coast. In summary Uihang-ri, Taean will be appropriate for cultivation farms and Jungwang-ri, Seosan for seedling grounds to increase oyster culture productivity.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.18 no.1
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• pp.49-61
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• 2008

The objective of this study is to survey the risk factors of greenhouse vegetables farmers' work-related musculoskeletal disorders(MSDs). To offer the fundamental data for agricultural improvement of greenhouse vegetable farms, the questionnaire of MSDs and heath condition were carried out. A group of 736 workers(males=492, females=244) in 6 branches constitutes the population and database for the analysis between 2004 and 2005. The sample branch was chosen based on paper are watermelon, strawberry, tomato, melon, cucumber, lettuce. The results are as follows: 1. Smoking rates in cucumber and tomato is the highest. 2. Drinking rates in strawberry, cucumber and lettuce is the highest in males, watermelon and melon are the highest in females. 3. Regular exercise rates in melon are the highest. 4. Physical and mental fatigue in females is higher than that of males in most crops except melon. That of strawberry and tomato is the highest. 5. The prevalence rates of medical diagnosed diseases are higher in order of osteoarthritis, herniated nucleus pulposus(HNP), and hypertension. That of strawberry, melon, and cucumber is high in case of osteoarthritis; Strawberry, melon, and watermelon are high in case of HNP. 6. Prevalence rates of musculoskeletal symptoms among the various pain areas are higher in order of low back, knees, and shoulders. That of tomato and watermelon is high in case of low back; strawberry and tomato are high in case of knees. These results can be used practically for agricultural improvement of greenhouse vegetables farms to prevent MSDs.

• The Korean Journal of Community Living Science
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• v.17 no.2
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• pp.125-138
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• 2006

While the global food system prevails in America, the community food system is also spreading rapidly. The former, which is based on industrial agriculture, has negative impacts on family farms, food safety, and community development. In contrast, the latter has positive effects on farmers, consumers, communities, and the environment. Community food systems have been able to grow successfully through the participation of farmers and consumers, support of the federal and state governments, and the initiatives of NGOs. Food Circle, upon which this study focuses, is one of the community food systems based on the regional level. It is the outcome of the green movement in Kansas City, Missouri. The goal of Food Circle in Missouri is to retain and support rural family farms by connecting them with regional consumers. Its main activity is to collect data, including a directory of farmers and their regional products, and distribute this data to regional consumers. It is informally organized and entirely self funded. Although community food systems have several problems, their development is to continue in America. The food system in Korea has become a global one in recent decades, and agricultural problems and food safety issues are being generated as a result. The development of community food systems would be helpful in resolving these problems. In order to activate community food systems in Korea as seen in America's case, it would be necessary to have the imperative participation of both farmers and consumers, the support of the central and provincial governments, and the initiatives of NGOs.