• Atmosphere
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• v.16 no.4
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• pp.259-267
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• 2006

In the present study, the neural network (NN) model with cluster analysis method was developed to predict storm surge in the whole Korean coastal regions with special focuses on the regional extension. The model used in this study is NN model for each cluster (CL-NN) with the cluster analysis. In order to find the optimal clustering of the stations, agglomerative method among hierarchical clustering methods was used. Various stations were clustered each other according to the centroid-linkage criterion and the cluster analysis should stop when the distances between merged groups exceed any criterion. Finally the CL-NN can be constructed for predicting storm surge in the cluster regions. To validate model results, predicted sea level value from CL-NN model was compared with that of conventional harmonic analysis (HA) and of the NN model in each region. The forecast values from NN and CL-NN models show more accuracy with observed data than that of HA. Especially the statistics analysis such as RMSE and correlation coefficient shows little differences between CL-NN and NN model results. These results show that cluster analysis and CL-NN model can be applied in the regional storm surge prediction and developed forecast system.

• Journal of Agricultural Extension & Community Development
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• v.14 no.1
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• pp.1-27
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• 2007

Localization of extension services in 1997 has weakened the linkage and cooperation between the central and district extension agencies(Provincial Agricultural Research & Extension Services and City & County Technology Centers). Since agriculture needs a national or regional dimension approach in many senses, it is important for agricultural prosperity to maintain and even further strengthen the practice of cooperation between different levels of governments and extension agencies.The objective of this study was to suggest policy measures to strengthen the linkage and cooperation between agricultural extension agencies. Existing works were reviewed to see a general picture of problems associated with he localization of extension services. In order to gain insight into policy measures, questionnaire surveys to extension staffs in districts(8 of 9 Provincial Agricultural Research & Extension Services and 160 of City & County Technology Centers) were conducted. Survey respondents were mainly asked about policy measures which would contribute to strengthen the linkage and cooperation between extension service agencies.Three policy measures derived from the study are: to expand the professional and technological education at the central level; to establish the central－local partnership; and to strengthen the linkage and cooperation between city & county agricultural technology centers.

• Agribusiness and Information Management
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• v.7 no.2
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• pp.27-37
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• 2015

This study was carried out with the goal of improving accessibility for farmers in record management. The pre-survey for farm records found that the main reasons for lack of records were "no need" and "no time" to keep such records. Based on the results of the pre-survey of smartphone-based farm recordkeeping, the major composition articles were management books, daily work logs, analysis books and additional books compiled by setting log in, notice and suggestions. The number of smartphone-based farm record books was 4,430 nationwide. We also updated farms keeping records on seven occasions for user convenience. Regional differences in the utilization ratio of record books showed that continuous promotion and education aimed at users were key points of success for farm recordkeeping books.

• Journal of Agricultural Extension & Community Development
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• v.22 no.3
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• pp.333-344
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• 2015

The purpose of this study was to assume suitable cultivation areas by items and expectably suitable cultivation areas through coefficient of specialization and spatial concentration analysis, and suggested regional specialized items discovered by this research and regional specialized business management plans & development directions. This study has monitored changing aspects of spatial distribution of suitable cultivation areas in stockbreeding items from 2000 to 2010 by applying methods of location quotient(LQ), a multiple model, and etc, and predicted changing aspects of suitable cultivation areas from 2015 to 2020. As the result of analysis, I found that there were specialized items which were spatially concentrated and that there were hot-spots which were focused on some areas by items. Additionally, there were suitable cultivation areas which remained stable or changed by them. To discover specialized items and to develop businesses, I have suggested that it is necessary to ensure business project's feasibility including the present conditions, circumstances & potential of specialized items, and etc., and to secure business competitiveness including technology exchange, production cost curtailment, business management based on consumer's needs and building systematic data about achievement and etc.

• Journal of Agricultural Extension & Community Development
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• v.22 no.3
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• pp.301-319
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• 2015

Competitiveness strategies has been associated in the tourism literature as a crucial factor for the success of tourist. The study aims to explore the competitiveness strategies for tourism destinations by conducting in-depth interviews with probe questions. Thirteen community enterprises' managers in rural tourism communities were interviewed with a semi-structured interview questionnaire for one or two hours. From the interview data, eight themes in two dimensions were identified as competitiveness strategies of rural community enterprises in rural Korea. Differentiation strategies consist of new product development, service improvement, brand image improvement, advertise and public relation, and concentration. Cost leadership dimension includes cost reduction, increasing benefit, and long-term investment. The findings of this paper implicate the underlying the competitiveness strategies from managers' perspective.

• Journal of Agricultural Extension & Community Development
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• v.25 no.4
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• pp.175-184
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• 2018

There are two main types of agricultural extension projects in Korea, the impacts and routes of each type on farm income are different. This paper empirically studies the impact of agricultural extension to farms' income, using Multi-level production function considering time lag. It is found that direct type of extension has positive effect to farms' income. Also indirect type on income is significant only when the level of education is high. Due to the characteristics of Korean agricultural structure, the technical level of farm is greatly influenced by the government's R&D investment and technology guidance. The result implies that indirect type of extension that take into account the educational level of farms should be emphasized for long-term technological advances.

• Korean Journal of Breeding Science
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• v.43 no.3
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• pp.177-179
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• 2011

A new soybean cultivar 'Daewang' was released by Agricultural Research & Extension Services, Gangwon Province in 2008. The Goals of breeding the variety was for large seed size, high yield, lodging tolerance and resistance to diseases such as soybean mosaic virus (SMV) and bacterial pustule. 'Daewang' was derived from the cross of GWS91, which has yellow seed coat, large seed size and late maturity, and 'Seokryang-putkong', which has large seed size and early maturity. The preliminary, advanced and regional yield trials for evaluation and selection were carried out from 2002 to 2007. It has a determinate growth habit with purple flower, yellow seed coat, yellow hilum and large seed weight (33.6 g per 100 seeds). The maturity date of 'Daewang' is 16 days later than the 'Taekwang'. It has a high content of total isoflavone ($1,851{\mu}g/g$). The average yield of 'Daewang' was 2.68 MT/ha in the regional yield trials (RYT) carried out in four locations in Gangwon province from 2004 to 2007 which was 4 percent higher than the check cultivar 'Taekwang'.

• Journal of Korea Water Resources Association
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• v.49 no.5
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• pp.439-450
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• 2016

For the design of infrastructures controlling the flood events at ungauged basins, this study tries to find the regional flood frequencies using peak flow data generated by the spatial extension of flood records. The Chungju Dam watershed is selected to validate the possibility of regional flood frequency analysis using the spatially extended flood data. Firstly, based on the index flood method, the flood event data from the spatial extension method is evaluated for 22 mid/smaller sub-basins at the Chungju Dam watershed. The homogeneity of the Chungju dam watershed was assessed in terms of the different size of watershed conditions such as accumulated and individual sub-basins. Based on the result of homogeneity analysis, this watershed is heterogeneous with respect to individual sub-basins because of the heterogeneity of rainfall distribution. To decide the regional probability distribution, goodness-of fit measure and weighted moving averages method from flood frequency analysis were adopted. Finally, GEV distribution was selected as a representative distribution and regional quantile were estimated. This research is one step further method to estimate regional flood frequency for ungauged basins.

• Korean Journal of Environmental Agriculture
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• v.41 no.1
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• pp.16-23
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• 2022

BACKGROUND: Rice production by the current standard cultivation method is predicted to decrease due to global warming. It seems that there has been a strong warming trend in Hwaseong-si, Gyeonggi-do. This study attempted to understand the climate change in Hwaseongsi, Gyeonggi-do and to analyze the effect of climate change on rice production. METHODS AND RESULTS: The statistical and physicochemical analyses were performed using the rice cultivar 'Chucheongbyeo' yields grown at the rice paddy field plot in the Gyeonggi-do Agricultural Research and Extension Services and the weather data measured in near the rice paddy plot. CONCLUSION(S): There was no significant difference between the average rice yields per area in 2000s (2001~2010) and 2010s (2011~2020), but the rice yield variability was greater in 2010s than in 2000s. The mean, minimum, maximum temperature, and the sunshine hours were evaluated for the correlation with the rice yield. The understanding of climate change in Hwaseong-si, Gyeonggi-do and the major weather factors affecting changes in rice yield, presented in this study, would enhance scientific understanding of regional climate change, and improve rice cultivation management.

• Korean Journal of Breeding Science
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• v.43 no.6
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• pp.587-590
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• 2011

A new sesame variety 'Yunheuk' was developed from Yeongnam Agricultural Research Institute in 2007. A cross was made by 'Yoosung' with weak disease resistance and 'Kunheuk' with high yield capacity & quality, followed by pedigree selection, yield test and regional yield trial (RYT) by the sesame breeding team at the National Institute of Crop Science and Yeongnam Agricultural Research Institute up to 2007. The variety showed higher lodging resistance and more dark seed coloring rather than that of check variety 'Yangheuk'. Average stem length and the number of capsules per plant is 118 cm, 79 cm respectively. Its 1,000 grains weight is about 2.67 g indicating 0.10 g lower than that of 'Yangheuk', and its oil content is about 46.4%. 'Yunheuk' also contains total 2.59 mg/g of such lignans as sesamin and sesamolin. And its dark color density ($L^*$ Value) of seed coat is 22.43 which was about 10% lower than that of check variety. The average yield of 'Yunheuk' was 99.9 kg per 10a at the national-wide regional performance.