• Journal of Digital Convergence
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• v.15 no.3
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• pp.65-75
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• 2017

Agricultural sector in Korea faces the threat of aging farmers and many other difficulties. Because agriculture is a very less-competitive industry in Korea and many solutions to improve the competitiveness of Korean agriculture should be studied. The advent of Internet of things(IoT) technology makes possible many new industries and business models in the current society. The adoption of this new technology in agriculture can bring about innovations in agricultural production and distribution as $6^{th}$ industry. This paper summarizes the opportunities in IoT and smart farm. The major benefits and obstacles in introducing smart farms are reviewed and the cases of two successful smart farms in Korea are analyzed. Through these case studies, we can recognize the current status and future strategies in Korean smart farms.

• Journal of Korean Society of Rural Planning
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• v.27 no.1
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• pp.57-70
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• 2021

The degree of benefits of living services related to the quality of life can solve the depopulation problem, and it is necessary to be able to quantitatively analyze problems related to the quality of life in rural areas in order to cope with the rural depopulation. The purpose of this study was to develop the assessment model of a village-level rural living service that reflects the regional characteristics of rural villages to evaluate the level of rural living services for response rural depopulation. Based on the review of previous related studies, the evaluation index was composed of seven sectors of education, health, welfare, culture, environment, safety, and convenience, and the assessment model of a rural living service was established. This model was evaluated through a sample survey of 90 villages in Nonsan-si, Seongju-gun, and Pyeongchang-gun. As a result of the rural life services evaluation by Si and Gun, Seongju-gun, which is affected by nearby large cities, has the largest variation by village level and is assessed at a lower level overall than other Si and Gun. As a result of the rural life services evaluation by 7 sectors, in the case of health and welfare, low scores were shown in the assessment model, but the level of residents' satisfaction was mid-level. In particular, in the case of Seongju-gun, there were significant differences in the assessment model and the survey results of the level of residents' satisfaction in the health and welfare sectors due to the influence of nearby large cities. As a result of analyzing the number of villages corresponding to the top 30% and the bottom 30% of the evaluation results for each sector, it was analyzed that the villages with the highest evaluation results in Pyeongchang-gun in both the assessment model and the level of residents' satisfaction. It implies that quantitative analysis of data based index and accessibility as well as level satisfaction of residents are necessary.

• Asia-Pacific Journal of Business
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• v.15 no.1
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• pp.319-334
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• 2024

Purpose - The purpose of this study is to examine the gravity model commonly used for demand forecasting upon the implementation of new tourist facilities and analyze the main causation of forecasting errors to provide a suggestion on how to improve. Design/methodology/approach - This study first measured the errors in predicted values derived from past feasibility study reports by examining the cases of five national science museums. Next, to improve the predictive accuracy of the gravity model, the study identified the five most likely issues contributing to errors, applied modified values, and recalculated. The potential for improvement was then evaluated through a comparison of forecasting errors. Findings - First, among the five science museums with very similar characteristics, there was no clear indication of a decrease in the number of visitors to existing facilities due to the introduction of new facilities. Second, representing the attractiveness of tourist facilities using the facility size ratio can lead to significant prediction errors. Third, the impact of distance on demand can vary depending on the characteristics of the facility and the conditions of the area where the facility is located. Fourth, if the distance value is below 1, it is necessary to limit the range of that value to avoid having an excessively small value. Fifth, depending on the type of population data used, prediction results may vary, so it is necessary to use population data suitable for each latent market instead of simply using overall population data. Finally, if a clear trend is anticipated in a certain type of tourist behavior, incorporating this trend into the predicted values could help reduce prediction errors. Research implications or Originality - This study identified the key factors causing prediction errors by using national science museums as cases and proposed directions for improvement. Additionally, suggestions were made to apply the model more flexibly to enhance predictive accuracy. Since reducing prediction errors contributes to increased reliability of analytical results, the findings of this study are expected to contribute to policy decisions handled with more accurate information when running feasibility analyses.

• International Area Studies Review
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• v.14 no.3
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• pp.454-476
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• 2010

In this paper is two-step trade model introduced. It is assumed that countries have 3 basic factors- capital(K), land (Z)and population(N)-as national factor endowments. As the first step, education 'produces' 'educated labor(EL)' which embodies new knowledge or new technology by using the population and capital as inputs. As the second step, manufacturing goods is produced with EL and uneducated labor(UL), and agriculture goods with land and UL. According to this model, the higher the increase rate of capital in a country is, the lower the usage rate of land is, the lower the increase rate of discount is, the country tends to export the manufacturing goods and import the agriculture goods. Trade widens the discrepancy of increase rate of EL in both countries but reduces the gap of increase rate of relative wage of EL as far as the gap of usage rate is not so big. Trade also affect real income rather than nominal income. This model can be extended to explain the migration from rural areas to urban areas when the manufacturing sector and education organization exist in urban area while the agricultural sector exist in rural area.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.4
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• pp.193-198
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• 2021

Recently, interests in the 4th industry have increased the level of demand for pest control by farmers in the field of rice farming, and the interests and use of agricultural pest control drones. Therefore, the diversification of agricultural control drones that spray high-concentration pesticides and the increase of agricultural exterminators due to the acquisition of national drone certifications are rapidly developing the agricultural sector in the drone industry. In addition, as detailed projects, an effective platform is required to construct large-scale big data due to pesticide management, exterminator management, precise spraying, pest control work volume classification, settlement, soil management, prediction and monitoring of damages by pests, etc. and to process the data. However, studies in South Korea and other countries on development of models and programs to integrate and process the big data such as data analysis algorithms, image analysis algorithms, growth management algorithms, AI algorithms, etc. are insufficient. This paper proposed an online drone pest control management information platform to meet the needs of managers and farmers in the agricultural field and to realize precise AI pest control based on the agricultural drone pest control processor using drones and presented foundation for development of a comprehensive management system through empirical experiments.

• Steel and Composite Structures
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• v.35 no.1
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• pp.111-127
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• 2020

The goal of this study is to fill this apparent gap in the area about investigating the effect of porosity distributions on vibrational behavior of FG sectorial plates resting on a two-parameter elastic foundation. The response of the elastic medium is formulated by the Winkler/Pasternak model. The internal pores and graphene platelets (GPLs) are distributed in the matrix either uniformly or non-uniformly according to three different patterns. The model is proposed with material parameters varying in the thickness of plate to achieve graded distributions in both porosity and nanofillers. The elastic modulus of the nanocomposite is obtained by using Halpin-Tsai micromechanics model. The annular sector plate is assumed to be simply supported in the radial edges while any arbitrary boundary conditions are applied to the other two circular edges including simply supported, clamped and free. The 2-D differential quadrature method as an efficient and accurate numerical approach is used to discretize the governing equations and to implement the boundary conditions. The convergence of the method is demonstrated and to validate the results, comparisons are made between the present results and those reported by well-known references for special cases treated before, have confirmed accuracy and efficiency of the present approach. It is observed that the maximum vibration frequency obtained in the case of symmetric porosity and GPL distribution, while the minimum vibration frequency is obtained using uniform porosity distribution. Results show that for better understanding of mechanical behavior of nanocomposite plates, it is crucial to consider porosities inside the material structure.

• Journal of Agricultural Extension & Community Development
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• v.3 no.1
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• pp.17-41
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• 1996

In the situation of rapid industrialization based on the lopsided development of economy since 1960, Korean rural society has faced a crisis of disruption. As a result, the civilian government has tried a few actions to change the circumstance. However, it is said that the coral polices were not satisfactory. Those who were concerned with the rural problems of these days argue that it is necessary to adopt new policies and further to change the policymakers` philosophies concerning the matter. The arguments are certainly based on the beliefs that the sound policies come from the sound philosophies. This study aims to analyze the existing rural polices and their policymakers` philosophies and to design of a new paradigm. For the purpose, this study was set there specific objectives: First, to overview the moor points of Quantitative Utilitarianism of Jeremy Bentham and the Social Justice Theory of John Rawls, the contrasting frameworks of the moral philosophies; Second, to trace the major or trade of the rural policies since 1960s in Korea; Third, to analyze the policymakers` philosophies reflected on the rural policies; Fourth, to design a new paradigm of the rural policies. This study mainly adopted descriptive method based on the various source of government and non-government statistics, white papers and other researches. The major findings of this study may be summarized as follows: 1. The historical epochs of the rural policies in Korea was divided into the periods: (1) An organizational and institutional establishment for self-reliance of main crops and the New Village Movement $(1969{\sim}70)$; (2) An initiation of `open-door` policies to the foreign farm products $(1970{\sim}80)$; (3) Completion of the UR meetings and the recommendations of the Rural and Fishery Development Commission (1980-present). 2. It was found that the philosophical foundations of coral policies were directly reflected from the utilitarianism of the national development. Under the philosophy it was the modem sector of economy that was to spearhead the national development, and the rural sector was situated to the peripheral position and hardly in the spot-light. Therefore, it may be said that the present situation of the rural society was largely rooted in the model of economic development. 3. As a new direction of the coral policies, many studies were focussing on the NTC (non-trade concerns) functions of agriculture for the present and future society. The researchers argue that the cost of protecting and supporting agriculture and rural society may be higher than that of the burden which the nation should be bear in the case of failure of agriculture. Although it tray be true, however, it should be noted that the argument is another type of utilitarianism which prevailed in the past. As a philosophy of rural policies, utilitarianism is straight forward and persuasive, however, it has also limitations in terms of relativism in broad sense or social justice in specific manna. 4. This study suggests to set the philosophical foundations of rural policies on the basis of Rawl`s Theory of Justice mentioned earlier. It emphasizes the inviolability of social justice which was neglected for the national benefits timing the period of development dictatorship in 1960s and 1970s. The principles of social justice for coral people were identified as twofold; (1) The principle of the t equal liberty; (2) (a) Difference principle, (b) The principle of fair equality of opportunity.

• Journal of Korean Society of Rural Planning
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• v.24 no.1
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• pp.47-60
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• 2018

계획적이고 안정적인 영농을 위해 영농작업 인력을 확보하는 것은 매우 중요하다. 하지만 농가인구의 감소로 인한 농업인력 확보의 어려움과 농업노동 임금의 지속적인 증가는 경영주에게 이중의 고통이 되고 있다. 따라서 본 연구에서는 농가처분가능소득이 전국에서 가장 높은 강원도를 지역 표집으로 선정하여 Bivariate Probit 모형을 이용해 내국인과 외국인 고용의 상호 관계를 고려한 고용인력 수요 결정요인을 살펴보았다. 분석결과, 첫째, 3개월 이상 노동력을 고용하는 농가들의 경우 내국인 고용수요와 외국인 고용수요 간에는 양(+)의 상관관계가 있는 것으로 나타났다. 둘째, 전형적인 도시근교 농업의 특징을 나타내는 춘천시에 비해 강원도내 타 지역 농가들은 다른 변수들이 일정할 경우 내국인과 외국인의 고용수요가 증가하는 것으로 나타났다. 셋째, 젊은 경영주일수록 내국인 상시 고용에 대한 수요가 높고, 농가조직에 참여하고 있는 농가일수록 자가노동 확률은 0.13% 감소하고, 상시 농업 노동력에 대한 수요가 증가하는 것으로 나타났다. 이러한 분석결과를 종합한 농업 노동력 확보를 위한 정책적 시사점으로는 첫째, 상시고용된 농업인력들을 대상으로 국내외 문화 차이를 인지하고, 내국인 노동자와 외국인 노동자간의 협력 네트워크 구축을 위한 영농교육 확대가 필요하다. 둘째, 각 지역별로 내국인 또는 외국인 노동자의 상시고용 수요가 상이한 것으로 나타나 강원도내 지역별 농산업 현황을 기반으로 "(가칭)강원도 농업 인력 수급 플랫폼" 구축이 필요하다. 셋째, 청년창업농과 농가조직 참여 농가들을 대상으로 농작업 상시고용 인력을 우선적으로 매칭해 주는 것이 필요하다.

• The Journal of Industrial Distribution & Business
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• v.12 no.10
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• pp.19-30
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• 2021

Purpose: Dairy marketing cooperatives operate in the agricultural sector of the Ethiopian economy and are supposed to increase the efficiency of the marketing system. This paper aims to study factors affecting the participation of farm households' in dairy marketing cooperatives. Research design, data, and methodology: The research has focused on one primary question. What are the possible factors that affect farm households' participation in dairy marketing cooperatives? The survey questionnaire was developed and an interview was made using enumerators. A total of 1500 sample households were selected randomly using the method of sampling with probability proportionate to size. Descriptive and inferential statistical analysis (binary logit model) was used for analysis. Results: The study result revealed that among thirteen explanatory variables hypothesized to affect dairy producer farmers' participation in dairy marketing cooperatives; eleven were found to be statistically significant. From these findings, it is observed that members of the dairy cooperatives have significant advantage over nonmembers. Conclusions: Both internal and external intervention measures are suggested. Internally, the cooperatives' board of directors should design appropriate strategies to attract nonmembers to improve future participation, and, externally, government, NGOs, and other stakeholders need to emphasize methods that increase nonmembers' participation in dairy marketing cooperatives.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.8
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• pp.71-80
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• 2022

This study aims to investigate the effects of fair value valuation of biological assets and bearer plants measured at historical cost on the cost of third-party capital. The study contributes to the agricultural sector and the International Accounting Standard - IAS 41, which has been modified to remove the requirement to apply fair value for bearer plants, one of the primary biological assets with no active market. For this, 182 companies from 39 countries were studied in the years 2020 and 2021, with information taken from the Thomson Reuters Eikon platform. The methodology involves regression by the ordinary least squares method based on the model of Daly and Skaife (2016). The results show that the biological asset at fair value does not influence the cost of debt and that the measurement of bearer plants at historical cost has no effect on the cost of debt. Fair value did not change the perceived cost of debt of the analyzed companies in the studied period, contrary to Daly and Skaife (2016). Finally, the cost of third-party capital can be influenced by other aspects related to profit quality, which were not examined in this paper, such as profit management.