• 농촌계획
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• 제29권4호
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• pp.175-182
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• 2023

The purpose of this study, the trend of renewable energy, domestic and foreign renewable energy policies, and the flow of the legal system related to renewable energy location were identified, and a location analysis using public data was studied when solar energy was located. First, renewable energy is leading to energy conversion by reducing the proportion of existing fossil fuel-centered energy sources in the global trend and increasing the proportion of renewable energy, an eco-friendly energy source, and changing the institutional and market structure. Second, large-scale solar energy power plants are installed and operated in rural areas where there is no change in insolation and land prices are cheaper than in urban areas where there are many changes in insolation due to surrounding high-rise buildings and street trees. Third, if a preliminary location review is conducted using public data at this time, it will be easy to identify the optimal location for area and size calculation. Fourth, the solar energy location functional area was studied in area A, and the total area of the target area was 624.5km², with 392.7km² and 62.9% of the avoidance area where solar power cannot be located.

• 한국농공학회논문집
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• 제57권5호
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• pp.101-111
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• 2015

Establishment of appropriate data in certain formats is essential for agricultural water cycle analysis, which involves complex interactions and uncertainties such as climate change, social & economic change, and watershed environmental change. The main objective of this study was to develop web-based Data processing and Model linkage Techniques for Agricultural Water-Resource analysis (AWR-DMT). The developed techniques consisted of database development, data processing technique, and model linkage technique. The watershed of this study was the upper Cheongmi stream and Geunsam-Ri. The database was constructed using MS SQL with data code, watershed characteristics, reservoir information, weather station information, meteorological data, processed data, hydrological data, and paddy field information. The AWR-DMT was developed using Python. Processing technique generated probable rainfall data using non-stationary frequency analysis and evapotranspiration data. Model linkage technique built input data for agricultural watershed models, such as the TANK and Agricultural Watershed Supply (AWS). This study might be considered to contribute to the development of intelligent watercycle analysis by developing data processing and model linkage techniques for agricultural water-resource analysis.

• Nutritional Sciences
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• 제7권1호
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• pp.47-52
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• 2004

The food composition database is used to evaluate the nutritional value of foods in Korea. It is used as a source for basic data in many fields, not only for the establishment of the National Food Supply Plan but also for nutritional research, to aid in the drafting of the National Food Policy, and in clinical and epidemiological research. The database is also used by institutional and commercial food services and by the food processing industry among others. In 1970, the Rural Development Administration(RDA) published the "Korean Food Composition Table" for the first time and it has since become the established authority on food composition for the entire nation. The latest published food composition table (the 6th edition, published by the National Rural Living Science Institute, KDA) covers 2,337 kinds of foods and consists of two volumes. The National Rural Living Science Institute, the Korea Food and Drug Administration, and the National Fisheries Research and Development Institute have continuously improved production of food composition data in Korea. As consumers have grown more interested in the quality and safety of foods and raw agricultural products, we can expect even further development of food composition data through improvements in quality and increases in quantity. We need to develop more comprehensive food composition data by diversifying the kinds of foods that are included, unifying analytical methods, and increasing the number of nutrients covered. Moreover, food composition data must be modified in other ways to make for a better food composition database for the convenience of users. of users.

• 한국농촌건축학회논문집
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• 제24권4호
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• pp.77-84
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• 2022

The purpose of this study is to derive implications by comparing the spatial distribution of each service facility per unit population(1,000 people) with population decline areas. For this purpose, major concepts such as living infrastructure services, Spatial Distribution of Rural Living Service Facilities, areas of declining population, and regional extinction were reviewed and trends in prior research. Based on the literature review, 'Spatial Distribution of Rural Living Service Facilities' analysis criteria were set, and it was derived by 'the number of facilities per 1,000 population by township' using population data and rural space data. And the trend of each service sector was identified and implications were derived with 89 cities and counties in 'depopulation areas' suggested by the Ministry of Public Administration and Security. The derived implications are as follows. In the medical, leisure, and sports infrastructure sectors, 'rural areas with few service facilities per unit population' and 'depopulated areas' tended to coincide. In addition, the distribution characteristics of rural and urban areas differed by sector, which is judged to depend on the inclusion of rural facilities and population density.

• 한국지역사회생활과학회지
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• 제19권2호
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• pp.297-308
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• 2008

Previous research on elderly care in rural areas has focused on inter-generational support, ignoring the possibility of elderly care among community members in the rural areas of Korea. This study attempts to explore the roles and potentials of community-based elderly care in rural areas where nearby family or formal services are unavailable. For this purpose, data was collected from the elderly in three Korean rural villages using qualitative case study methods. Each village was studied as a separate case study and in-depth interviews with the elderly in each village were conducted. All interviews were tape-recorded and transcribed verbatim for the analysis. The data was analyzed using the Reflective Qualitative Analytic Technique. Results showed that rural elderly in all three villages had lunch, talked, and played together; almost everyday in the winter. However, the nature of care among rural elderly varied depending on the characteristics of the rural community (the traditional rural, the rural mixed with the urban, and the neighboring rural with the urban). Specifically, the use of mutual aids (providing food, repairing housing, and checking personal safety by telephone or visit, etc.) was most consistent at the traditional rural village. Because both the rural village mixed with the urban and the neighboring rural village with urban have better access to many aids and programs from formal institutions, mutual aids among community members decreased compared with the traditional rural village. However, regular group activities such as sports, dancing or debate help to provide pleasure and integrate the community. These results suggest that community relationships as a substitution for social support provide by family or formal services can be utilized in rural areas.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2022년도 추계학술대회
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• pp.81-81
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• 2022

Recently, many studies on big data based smart farming have been conducted. Research to quantify morphological characteristics using image data from various crops in smart farming is underway. Rice is one of the most important food crops in the world. Much research has been done to predict and model rice crop yield production. The number of productive tillers per plant is one of the important agronomic traits associated with the grain yield of rice crop. However, modeling the basic growth characteristics of rice requires accurate data measurements. The existing method of measurement by humans is not only labor intensive but also prone to human error. Therefore, conversion to digital data is necessary to obtain accurate and phenotyping quickly. In this study, we present an image-based method to predict leaf number and evaluate tiller number of individual rice crop using YOLOv5 deep learning network. We performed using various network of the YOLOv5 model and compared them to determine higher prediction accuracy. We ako performed data augmentation, a method we use to complement small datasets. Based on the number of leaves and tiller actually measured in rice crop, the number of leaves predicted by the model from the image data and the existing regression equation were used to evaluate the number of tillers using the image data.

• 농촌계획
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• 제16권3호
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• pp.117-129
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• 2010

The purpose of this paper is to develop a web-based information system for rural settlement environment diagnosis which is useful to apply the village based evaluation for new rural development projects. To achieve this purpose, this study performed : 1) analyzing the business process in the field of rural settlement environment diagnosis, 2) designing the data flow diagram and the database based on settlement environment diagnostic indices(SEDI), and 3) developing the system using APM (Apache, PHP, and MySQL) of web-system development environment. The developed system was applied to the study rural villages for testing of efficient and logical working. Users of the system, such as, researchers, decision makers, and rural residents, can input directly the village data to diagnose through a file format of Excel in MS Office. Futhermore, they can analyze the visual results with graphic and graph types, simultaneously. From the results of this study, it showed that the developed system enables decision-makers not only to assist the planning process of the rural village development project, but also to improve the level of information technology in the research and planning field concerning with rural development.

• 농촌지도와개발
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• 제29권2호
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• pp.51-64
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• 2022

This study aims to investigate relationships between lifestyle and benefit sought of rural healing tourists. For data collection, a total of 3,000 copies of questionnaires were collected by nationwide online survey. The data were analyzed by using SPSS 26.0. The factor analysis identified seven dimensions of the lifestyle : conservative, sports activity orientation, health orientation, consumption orientation, achievement orientation, adventure orientation, and personal orientation. Five dimensions of benefit sought were identified as psychological recovery, outdoor activities, rest, rural experience, and exercise. The results of the canonical correlation analysis indicated that adventure orientation of lifestyle and psychological recovery, outdoor activities, rural experience, exercise of benefit sought were highly correlated. This means it is important to place an emphasis on psychological recovery, outdoor activities, rural experience, and exercise for tourists looking for an adventure away from everyday life. Rural healing tourism marketers should consider lifestyle aspects as the most important factors affecting benefit sought of rural healing tourism.

• 산경연구논집
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• 제14권9호
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• pp.13-19
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• 2023

Purpose: Rural tourism, as a green and sustainable new development method, has become a new economic growth point in China's rural revitalization. The current research on rural tourism has not formed a complete and mature theoretical system, especially the study of tourist satisfaction. This paper is based on the perspective of tourist satisfaction and takes rural tourism in southern Jiangsu, China as the research object. Starting from the current situation of rural tourism development in southern Jiangsu, it elaborates on the current situation of rural tourism development in southern Jiangsu. Research design, data and methodology: Through literature analysis, it is concluded that the factors that affect tourist satisfaction are divided into four major aspects: personal factors, perceived effect factors, destination experience factors, and social factors. Design a survey questionnaire from four aspects: diversity, safety, convenience, agreeableness, and draw conclusions through data analysis. Results: From the four dimensions of the survey, tourists pay more attention to the diversity, agreeableness, and convenience of rural tourism products. This requires increasing the development of tourism products and improving the richness and diversity of rural tourism products. Conclusions: Therefore, optimization measures such as continuously implementing local rural cultural construction, establishing brand effects, and increasing policy support have been proposed.

• 농촌계획
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• 제28권4호
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• pp.1-9
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• 2022

Rural decline due to the decrease of the local population is an inevitable phenomenon, and a vicious cycle has been formed between a lack of basic living services and a population decrease in rural areas. Therefore, the study aims to derive the migration decision-making characteristics based on basic living service infrastructure data in rural areas. To do this, the population change over the past 20 years was categorized into six types, and the relationship between the classified population change types and the number of basic living service infrastructures was analyzed using decision tree analysis. Of the total 3,501 regions, 801 regions were the continuous decline type, of which 740 were rural areas. On the other hand, among 569 regions that were the continuous increase type, 401 regions were urban areas, confirming the population imbalance between rural and urban areas. As a result of the decision tree analysis on the relationship between population change types and the distribution of basic living service infrastructure, the number of daycare centers was derived as an important variable to classify the continuous increase type. Hospitals, parks, and public transportation were also found to be major basic living services affecting the classification of population change types.