• 농촌지도와개발
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• 제16권4호
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• pp.939-965
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• 2009

The Machine Learning has been identified as a promising approach to knowledge-based system development. This study aims to examine the ability of machine learning techniques for farmer's decision making and to develop the reference model for using pig farm data. We compared five machine learning techniques: logistic regression, decision tree, artificial neural network, k-nearest neighbor, and ensemble. All models are well performed to predict the sow's productivity in all parity, showing over 87.6% predictability. The model predictability of total litter size are highest at 91.3% in third parity and decreasing as parity increases. The ensemble is well performed to predict the sow's productivity. The neural network and logistic regression is excellent classifier for all parity. The decision tree and the k-nearest neighbor was not good classifier for all parity. Performance of models varies over models used, showing up to 104% difference in lift values. Artificial Neural network and ensemble models have resulted in highest lift values implying best performance among models.

• 농업과학연구
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• 제25권1호
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• pp.138-147
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• 1998

U-turn migration is one of the prominent phenomenon after IMF controlled Korean economy. However a number of U-turn migrants were settled in rural area before that time. This paper is aims at studying the socio-economic effects of U-turn migration in rural area. The study results are summarized as follows; First, migrants are relatively young and engaged in overall parts of the farming. The farmer with age under 50 is represented at 71.4% of migrants comparing with 53.7% of those farmers in rural area. Second, owing to the increasing number of U-turn migrants, the decreasing price of rural wages, the decreasing of idle land, and the increasing price of farm land are the outstanding phenomenon at present. Third, even though there are many kinds of supporting systems for U-turn migrants, the systems are not so successfully functioned. For the successful supporting system they must be changed for the individual migrant rather than target group.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2008년도 춘계 학술발표회 초청강연 및 논문집
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• pp.505-510
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• 2008

FBG Sensor, which is smaller than strain gauge and has better durability and does not have a noise from electromagnetic waves, was adapted to develope a smart anchor. A series of pullout tests were performed to verify the feasibility of smart anchor and find out the load transfer mechanism around the steel wire fixed to rock with grout. Distribution of shear stresses at steel wire-grout interface is assessed from the measured strain distribution by the optical fiber sensors and compared with stress distributions predicted by Farmer's and Aydan's formulas. It was found that present theoretical formulas may underestimate the failure depth and magnitude of shear stresses when the pullout loads increase.

• 농촌지도와개발
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• 제6권2호
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• pp.39-51
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• 1999

For the last 10 years, many institutions have tried to build more effective rural information system. They have devoted most effort to build DB/NWs for agribusiness, farmers, and rural community. However, their information system has not satisfied the demands on farm. To meet the farmer's demands, rural information system should be a farm-oriented, educational, democratic, realistic, and comprehensive information system. Few suggestions are raised to build successful information based agriculture and rural community. First, we should focus more on developing a farm based MIS SWs rather than the DB/NWs. Second, we should emphasize education and AS of information system more than development of the system. Third, governments should invest more to build better information infrastructure for rural community including information super highways.

• Radiation Oncology Journal
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• 제2권2호
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• pp.281-285
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• 1984

The authors have intended to measure intrinsic dose distribution by Farmer dosimeter in irregularly shaped fields such as L.M and T shape models in order to determine dose inhomogeneity in those models. We made 2 off·axis points in each model and measured the depth dose at 1.5, 5 and 9cm below surface. The results showed $l\~3\%$ dose discrepancy between 2 points. We also measured the depth dose by geometric approximation and computer calculation in those models, and came to the conclusion that computer calculation using Clarkson's principle is simpler and the measurements are closer to the ideal data obtained by the experiment in three models of irregularly shaped fields than those of geometric approximation method.

• 한국유기농업학회지
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• 제20권2호
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• pp.161-172
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• 2012

This study was carried out to estimate carbon footprint and to establish of LCA of garlic production system. We have case study in cultivate garlic 1 kg calculate in carbon footprint. LCA carried out to estimate carbon footprint and to establish of LCI (life cycle inventory) database of garlic production system. The data is from Research of Farmer's income in 2010 (RDA, 2011), and used Pass (5.0.0) program. The value of fertilizer, amount of pesticide input were shown the environmental effect and direct emission. Carbon footprint in agriculture guarantees the choice right the consumer to choose the lower carbon goods. Its can make to strengthen of agriculture and food industry's reduction effort of $CO_2$. Nowadays consumer requests food's safety and environment friendly process. Carbon footprint also needs consumer's relief and incentives.

• 농촌지도와개발
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• 제3권1호
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• pp.83-93
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• 1996

This study examines the agricultural extension agents` satisfaction with their job and its related variables - personal characteristics, achievement motivation, and needs level. Based on die Job Descriptive Index, Brayfield-Rothe Index, and Porter Instrument, the survey was carried out on 127 agents. Results show 1) a significant difference in personal characteristics is found in position, farmer contact frequency, and service region applied for, but not in age, gender, scholastic ability, career, task, and another department contact frequency, 2) the achievement motivational level is related to job satisfaction, and 3) the needs level is not related to job satisfaction.

• 농촌지도와개발
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• 제1권1호
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• pp.57-65
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• 1994

This study undertakes a critical survey of literatures on the nest development in agricultural extension system; T&V(Traininig and Visit Extension), FSR&E(Fanning Systems Research and Extension), and FF(Farmer First). The study compares the three extension systems in their establishment, objectives, charactersistics, and methods. to find the minor factors for the betterment of agricultural extension system. Those are; 1) client-oriented program, 2) educational service, 3) comprehensive goal and work, 4) benefit to wide range of customers, 5) democratic program, 6) participatory approach, 7) four based experiment, 8) linkages among participants, 9) specialization of extensionists, 10) autonomy of extension offices, 11) humanstic program.

• 한국유기농업학회지
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• 제19권3호
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• pp.291-308
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• 2011

This study was carried out to estimate carbon footprint and to establish of LCA of cherry-tomato production system. I have case study in cultivate cherry tomato (1 kg) calculate in carbon foot print. LCA carried out to estimate carbon foot print and to establish of LCI (life cycle inventory) database of cherry tomato production system. The data is from Research of Farmer's income in 2007 (RDA, 2008), and used Pass (4.1.3) program. The value of fertilizer, amount of pesticide input were show the environmental effect and direct emission. Carbon foot printing in agriculture guarantee the choice right th consumer th choose the row carbon goods. Its can make to strengthen of agriculture and food industry's reduction effort of $CO_2$. Nowadays consumer request food's safety and environment friendly process. Carbon foot printing needs consumer's relief and incentives.

• 한국균학회지
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• 제49권3호
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• pp.413-416
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• 2021

In July 2019, damping-off symptoms of young Fischer's ragwort (Ligularia fischeri) plants were observed in four vinyl greenhouses of a farmer located in Taebaek, Gangwon Province, Korea. This disease occurred in 20-30% of plants in the vinyl greenhouses investigated. Nine isolates of Rhizoctonia sp. were obtained from the diseased plants. All the isolates were identified as Rhizoctonia solani AG-2-2 (IIIB), based on morphological, cultural characteristics, and anastomosis test. Three isolates were used for artificial inoculation test on Fischer's ragwort. Pathogenicity of these isolates was confirmed on the plants with the inoculation tests. Damping-off symptoms observed on the inoculated plants were similar to those observed in the diseased plants in the vinyl greenhouses. This is the first report of R. solani AG-2-2 (IIIB) being the causative agent in damping-off in Fischer's ragwort.