• Journal of the Korean Solar Energy Society
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• v.35 no.3
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• pp.17-25
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• 2015

The main objective of this study is to predict the wind power generation at the wind farm using various wake models. Modeling of wind farm is a prerequisite for prediction of annual energy production at the wind farm. In this study, we modeled 20 MW class Seongsan wind farm which has 10 wind turbines located at the eastern part of Jeju Island. WindSim based on the computational fluid dynamics was adopted for the estimation of power generation. The power curve and thrust coefficient with meteorology file were prepared for wind farm modelling. The meteorology file was produced based on the measured data of the Korea Wind Atlas provided by Korea Institute of Energy Research. Three types of wake models such as Jensen, Larsen, and Ishihara et al. wake models were applied to investigate the wake effects. From the result, Jensen and Ishihara wake models show nearly the same value of power generation whereas the Larsen wake model shows the largest value. New positions of wind turbines are proposed to reduce the wake loss, and to increase the annual energy production of the wind farm.

• Journal of Korean Society of Rural Planning
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• v.24 no.4
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• pp.27-35
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• 2018

This study analyzed the factors influencing the choice of new farming type in order to prepare the countermeasures against structural changes of farm labor force. The analytical model was the multinomial logit model(MNL). The test for Independence and Irrelevance Alternatives(IIA) assumption in MNL shows that the IIA assumption in our data is rejected. Alternatively, we chose the multinomial probit model(MNP) that does not assume IIA. Data were obtained from 2010 census of Agriculture, Forestry and Fisheries of Statistics Korea. New farming types are succession(13.9%), return-to-farming(45.0%), part-time-farming(32.5%) and etc(8.6%). Analysis results showed that the characteristics of farms, commodity, management, and region influenced the choice of new farming type. This study is expected to help policy makers to produce support policies by new farming types in order to increase the number of new farmers and to make them easier to settle down in agriculture.

• Journal of the Korean Institute of Rural Architecture
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• v.2 no.2
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• pp.1-10
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• 2000

The traditional farm houses in Yongdong area of Kangwon province have a different spatial structure from those of the other areas because of the characteristics of the climatic, geographic and sociocultural circumstances between the Taebaek mountains and the East Sea. So the purpose of this study is aimed at grasping how the spatial features of traditional farm houses in Yongdong area have been different in each regional circle. The plans of traditional farm houses of this region which are four types - ㅡ typed house without floor, ㅡ typed house with floor, ㄱ typed house without floor, ㄱ typed house with floor - show very similar but different space arrangements.

• Journal of Korean Society of Rural Planning
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• v.24 no.3
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• pp.55-62
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• 2018

This study analyze factors influencing business performance by types of agricultural corporation for improving performance. The number of agricultural corporations have been increasing but their profitability has been decreasing. In this situation, it is important to analyze factors influencing business performance for improving their profitability. We estimate a model including financial indexes and corporation's characters using ordinary least square. We use agricultural corporations survey data for 10years(2005~2014) of Statistics Korea. This study analyze bookkeeping recorded agricultural corporations for the same period. As a result, we find factors to influence Return on Assets(ROA). Additionally, we calculate optimized current ratio and debt ratio for ROA maximization. Operation period and the number of full-time workers also have a positive effect on ROA. Agricultural production, processing and distribution variables by business types have a positive effect on ROA, but some of their interaction terms have a negative effect on ROA. We expect that this result will help for improving corporation's business performance.

• Journal of Veterinary Science
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• v.23 no.4
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• pp.60.1-60.6
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• 2022

Background: A definite diagnosis should be made in the bovine practice field, however, it was difficult to perform laboratory analysis immediately. Currently, three types of portable blood gas analyzers are available in Korea. Objectives: This study aimed to evaluate the correlations among these three analyzers. Methods: Seventy-two plasma samples from Holstein-Friesian cows were used for blood gas analysis, and three instruments (EDAN i15 Vet, VETSCAN i-STAT, and EPOC) were operated simultaneously. Moreover, plasma calcium levels were compared between these portable analyzers and blood chemistry device, which is usually used in a laboratory environment. Pearson analysis was performed to confirm the correlation of each parameter produced with the three instruments and blood chemistry analyzer. Results: As results, high correlation was observed in parameters of pH, pO₂, potassium ion, ionized calcium, and glucose (p < 0.001, r > 0.7). In addition, pCO₂ showed a moderate correlation among the three analyzers (p < 0.001, r > 0.5), and there was no correlation among all instruments for sodium ions. There was also a high correlation between ionized calcium from the three portable devices and total calcium from the biochemistry analyzer (p < 0.001, r > 0.9). Conclusions: In conclusion, there was a high correlation between results from the three different blood gas analyzers used in the bovine clinical field in Korea. Thus, a consistent diagnosis can be made even with different equipment if the operator is aware of the strengths and weaknesses of each piece of equipment and operates it properly.

• The Korean Journal of Community Living Science
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• v.22 no.4
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• pp.689-704
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• 2011

Farm themed restaurants is an initiation by the Rural Development Administration (RDA) in order to perpetuate and develop Korean traditional food-culture. This food business model contributes to the increase of local food consumption and non-farm income for rural communities. Thus, the purpose of this study was to investigate the visitor's expectations, perception and satisfaction on the farm restaurant management type in order to assist activation of farm restaurants. Farm restaurants were categorized into two types; restaurant style and experience style. The majority of subjects(67.9%) were experiencing their first time to dine at farm restaurants. Regardless of farm restaurant style, the subjects perceived that farm restaurants use high quality food ingredients. The degree of subjects expectations prior to visiting a farm restaurant was estimated by 7 Likert scales. The results show that most subjects had high expectations for using good-quality food ingredients such as ‘fresh food (restaurant style 6.25, dietary education style 6.02)’ and ‘environment-friendly food (restaurant style 6.07, dietary education style 5.91)’. Overall satisfaction of the farm restaurants was also high. The satisfaction of food scored 4.1 and the satisfaction of experience program scored 3.8.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.6
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• pp.41-55
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• 2023

In order to secure sustainable competitiveness of startups, business model innovation is an important task to achieve competitive advantage by transforming the various elements that make up the business model. This study conducted a multi-case analysis study on leading smart farm companies around the world using an analysis framework based on business model theory. Through this, we sought to identify business model types and their constituent elements. For this, 19 companies were selected from the list of top 10 investment startups of the year for the past three years published by Agfunder, a global investment research company specializing in AgTech. Then data collection and analysis of the company cases were conducted according to the case study protocol. As a result of the study, the business model types were analyzed into four types: large-scale centralized production model, medium-to-large local distributed production model, small-scale hyperlocal modular FaaS model, and small-scale hyperlocal turnkey solution supply model. A comparative analysis was conducted on five business model components for each type, and strategic implications were derived through this. This study is expected to contribute to improving the competitiveness of domestic smart farm startups and diversifying their strategies by identifying the business models of overseas leading companies in the smart farm field using an academic analysis framework.

• Asian-Australasian Journal of Animal Sciences
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• v.22 no.12
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• pp.1709-1717
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• 2009

This review presents a series of Key Performance Indicators (KPI) to assist Asian smallholder dairy farmers in identifying the possible causes for their poor farm performance and profitability. When assessing farm profitability, these indicators can be split into two types, those diagnosing problems with feeding management and those indicating poor herd management. As home grown forage is generally cheaper to source than purchased forage, the more produced on farm, the better. Too many stock on limited land is a common feature on Asian dairy small holdings. Unlike other classes of livestock, milking cows have very high nutrient requirements, therefore high quality forages and concentrates are essential for profitable dairying. Milk income less feed cost is one of the simplest and easy to measure indicators of farm profitability and is also quick to respond to small changes in farm practices. Problems with herd management can be diagnosed using measures such as the proportion of cows actually milking in the herd or their peak yield and persistency of production. There are also simple indicators of herd reproductive performance and of health and growth of young stock that assist in searching for the underlying causes of poor farm profitability.

• Smart Media Journal
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• v.11 no.5
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• pp.38-47
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• 2022

Honey is one of the most significant ingredients in conventional food production in different regions of the world. Honey is commonly used as an ingredient in ethnic food. Beekeeping is performed in various locations as part of the local food culture and an occupation related to pollinator production. It is important to conduct beekeeping so that it generates food culture and helps regulate the regional environment in an integrated manner in preserving and improving local food culture. This study analyzes different types of environmental factors of a smart bee farm. The major goal of this study is to determine the best prediction model between the linear regression model (LM) and the support vector regression model (SVR) based on the environmental factors of a smart bee farm. The performance of prediction models is measured by R² value, root mean squared error (RMSE), and mean absolute error (MAE). From all analysis reports, the best prediction model is the support vector regression model (SVR) with a low coefficient of variation, and the R² values for Farm inside temperature, bee box inside temperature, and Farm inside humidity are 0.97, 0.96, and 0.44.

• Journal of the Korean Society of Food Culture
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• v.24 no.6
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• pp.692-701
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• 2009

Green tourism has recently focused on an alternative plan for activating a rural economy and coping with an income inequality between urban and rural areas. The Rural Development Administration has supported farm restaurants with the aim of increasing the income of farmers, determined unique native local foods and developed programs based on the experience rural life since 2007. Farm restaurants, which are the new type of local food restaurants, have unique food and various experiencing programs that reflect their own regional characteristics. We would like to understand how the farm restaurants have been developed and what types of characteristics they have based on the currently operating farm restaurants. The management situations and value of farm restaurants as tourist attractions were investigated as well in the tools for rural development.