• Journal of Korean Society of Rural Planning
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• v.16 no.3
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• pp.67-76
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• 2010

The objective of this study is to investigate a priority and selection of agricultural specialization items from Daegu and Gyeongbuk region by using analytical tools such as, the Analytic Hierarchy Process(AHP) and the Scoring Method. The results of this study are as follows; 1) Five major items were selected for each region based on Daegu and Gyeongbuk regional agricultural performances. 2) The results of AHP analysis, Daegu and Gyeongbuk's agricultural experts evaluated the weight of three decision-elements(objectiveness 0.35, efficiency 0.341, identity 0.309) and seven decision-elements. 3) Results of AHP and Scoring Method analysis, Investigated a priority of agricultural specialization 3 items in 25 cities and districts Daegu and Gyeongbuk regional agricultural performances. 4) Finally, The results of this study will provide basic information on agricultural specialization policy in Daegu and Gyeongbuk region.

• Journal of Agricultural Extension & Community Development
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• v.7 no.1
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• pp.75-100
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• 2000

In the 21th century, many people predict the change of agricultural conditions in our country because of the arrival of knowledge- information age. Now it is supposed that agricultural technology comes to $45%{\sim}50%$ level compare to advanced countries. So the development of new technology in agriculture are demanded all the more. Agriculture in the 21th century will be grown based on the connection of environment, knowledge and taffeta. The agricultural conditions in Kyongbuk has more profitablity and potentiality, because there are wide lands, distinguished 4 seasons, various main production crops and cultural inheritance etc. For the innovation of agricultural technology in Kyungbuk, province this plan presented 7 visions; such as foods-life, knowledge-brain, precisious environment, resouces-saving, export-market, traditional- specialization and development-participation agriculture and 7 basic strategies; such as environment-stabilization, speciality-discrimination, standard-modeliztion, demand-market, field-practicality, management-information, specialization-cooperation strategy. The major contents of this plan were presented to achieve strengthen -ment and advancement of competitive power on the agriculture of Kyongbuk; 21 superme technologies get to develop the highest technique, 21 major conventional projects will be mown continuously, 21 main clops snakes to intensify competitive power. Wheras, we will be propulsed 21 special projects for increasing a phase of Kyongbuk R D. A. and we inculuded 74 items of Si-Gym region for balanced development of area This plan consisted of 1,730 items in 84 fields and about 260 billion won will be invest every year. When it is finished successfully in 10 years, agricultural technical level of Kyungbuk will be not only promote to $80{\sim}90%$ level to advanced country, but also clanged to competitive industry, and farming villiages might be changed to a space of comfortable life.

• 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.21 no.1
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• pp.35-82
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• 2014

It was main objectives to find the learners characteristics and educational effects of cyber agricultural technology courses in RDA. For the research, it was followed by literature reviews and internet based survey methods. In internet based survey, two staged stratified sampling method was adopted from cyber training members database in RDA along with some key word as open course or certificate course, and enrollment years. Instrument was composed through literature reviews about cyber education effects and educational effect factors. And learner characteristics items were added in survey documents. It was sent to sampled persons by e-mail and 316 data was returned via google survey systems. Through the data cleaning, 303 data were analysed by chi-square, t-test and F-test. It's significance level was .05. The results of the research were as followed; First, the respondent was composed of mainly man(77.9%), and monthly income group was mainly 2,000,000 or 3,000,000 won(24%), bachelor degree(48%), fifty or forty age group was shared to 75%, and their job was changed after learning(12.2%). So major respondents' job was not changed. Their major was not mainly agriculture. Learners' learning style were composed of two or more types as concrete-sequential, mixing, abstract-random, so e-learning course should be developed for the students' type. Second, it was attended at 3.2 days a week, 53.53 minutes a class, totally 172.63 minutes a week. They were very eager or generally eager to study, and attended two or more subjects. The cyber education motives was for farming knowledge, personal competency development, job performance enlarging. They selected subjects along with their interest. A subject person couldn't choose more subjects for little time, others, non interesting subject, but more subject persons were for job performance benefits and previous subjects effectiveness. Most learner was finished their subject, but a fourth was not finished for busy (26.7%). And their entrying behavior was not enough to learn e-course and computer or internet using ability was middle level as software using. And they thought RDA cyber course was comfort in non time or space limit, knowledge acquisition, and personal competency development. Cyber learning group was composed of open course only (12.5%), certificate only(25.7%), both(36.3%). Third, satisfaction and academic achievement of e-learning learners were good, and educational service offering for doing job in learning application category was good, but effect of cyber education was not good, especially, agricultural income increasing was not good because major learner group was not farmer, so they couldn't apply their knowledge to farming. And content structure and design, content comprehension, content amount were good. The more learning subject group responded to good in effects, and both open course and certificate course group satisfied more than open course only group. Based on the results, recommendation was offered as cyber course specialization before main course in RDA training system, support staff and faculty enlargement, building blended learning system with local RDA office, introducing cyber tutor system.