• 가정과삶의질연구
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• 제7권2호
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• pp.145-161
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• 1989

The objectives of this study are ; 1) To analyze the time use and the invironments of rural housewives household labor according to the characteristics of agriculture. 2) To investigate the factors influencing household labor time. In this study, the rural areas are divided into two groups according to characteristics of agriculture. One is traditional agricultural area-Seokchon Dong in Youngcheon Kun, and the other is commercial agricultural area-Dongpo 1 Dong in Sungju Kun. Two areas are located in Kyungpook Province. 145 housewives dwelling in above two villiages were interviewed. The statistics used for data analysis were frequency, percentile, T-test, x2-test, and multiple regression analysis. Results are as follows; 1) household labor time had not significant differences Hetween Youngcheon and Sungju. But agricultural labor time was longer in Sungju than in Youngcheon. 2) household labor environments in Sungju were better than those in Youngcheon. 3) household labor time was influenced by agricultural labor time and socio-cultural time.

• 응용통계연구
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• 제11권2호
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• pp.423-433
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• 1998

농사실험에서 품종실험자료를 분석할 때, 난괴법(Completely Randomized Block Design) 모형을 많이 이용하고 있다. 이 모형에서는 각 블록내의 모든 실험단위들에서 비옥도가 같다고 가정한다. 그러나 많은 경우에 각 블록내 실험단위들의 비옥도에 규칙적인 이질성이 존재한다. 이러한 이질성을 고려하기 위하여, 본 논문에서는 다단계 일반화 선형모형(Hierarchical Generalized Linear Models)을 이용하여 품종효과와 블록내의 비옥도 효과를 함께 모형화 하고, 이 모형으로 Scottish Agricultural Colleges의 목록에 실려 있는 자료를 분석하여, 마코프체인 몬테칼로(Markov Chain Monte Carlo)방법으로 분석한 결과와 비교해 본다.

• 농촌계획
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• 제24권3호
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• pp.55-62
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• 2018

This study analyze factors influencing business performance by types of agricultural corporation for improving performance. The number of agricultural corporations have been increasing but their profitability has been decreasing. In this situation, it is important to analyze factors influencing business performance for improving their profitability. We estimate a model including financial indexes and corporation's characters using ordinary least square. We use agricultural corporations survey data for 10years(2005~2014) of Statistics Korea. This study analyze bookkeeping recorded agricultural corporations for the same period. As a result, we find factors to influence Return on Assets(ROA). Additionally, we calculate optimized current ratio and debt ratio for ROA maximization. Operation period and the number of full-time workers also have a positive effect on ROA. Agricultural production, processing and distribution variables by business types have a positive effect on ROA, but some of their interaction terms have a negative effect on ROA. We expect that this result will help for improving corporation's business performance.

• Agribusiness and Information Management
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• 제11권1호
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• pp.1-9
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• 2019

This research intends to propose the methodology for analyzing the current trends of agriculture, which directly connects to the survival of the nation, and through this methodology, identify the agricultural trend of Korea. Based on the relationship between three types of data - policy reports, academic articles, and news articles - the research deducts the major issues stored by each data through LDA, the representative topic modeling method. By comparing and analyzing the LDA results deducted from each data source, this study intends to identify the implications regarding the current agricultural trends of Korea. This methodology can be utilized in analyzing industrial trends other than agricultural ones. To go on further, it can also be used as a basic resource for contemplation on potential areas in the future through insight on the current situation. database of the profitability of a total of 180 crop types by analyzing Rural Development Administration's survey of agricultural products income of 115 crop types, small land profitability index survey of 53 crop types, and Statistics Korea's survey of production costs of 12 crop types. Furthermore, this research presents the result and developmental process of a web-based crop introduction decision support system that provides overseas cases of new crop introduction support programs, as well as databases of outstanding business success cases of each crop type researched by agricultural institutions.

• 한국학교수학회논문집
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• 제3권2호
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• pp.123-131
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• 2000

In order to educate future leaders of the new age, we should help students to increase their basic knowledge, thinking and problem solving ability. It is necessary that we should use multi-media, computer as well as old teaching-learning material to improve students' basic knowledge and to motivate their interest in mathematics in the small-sized Middle School situated on the agricultural and fishery village. In solving this problem, it is ultimately necessary that we should utilize CAI program on the learning achievement in mathematics for the students to understand basic concept, principle, law and to promote teaching-learning process considered on individual different abilities. Therefore, this study is on the effect of students' interest and learning achievement in mathematics when we develop CAI program focusing on the lesson statistics in the 3rd Grade Middle School Mathematics Textbook and explain the concept and principle of statistics through using exact and various techniques of computers

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2019년도 추계학술발표대회
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• pp.858-860
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• 2019

본 논문에서 우리는 범함수 회귀모형을 이용한 양파의 성장단계별 무게를 예측할 수 있는 새로운 통계적 추정방법을 제안한다. 여기서 우리는 풍속, 평균온도, 강우량, 일조량 그리고 습도 등 나타내는 환경요인들을 설명변수들로 사용하고, 양파의 성장단계별 무게를 반응변수로 사용하여 범함수 회귀모형을 적용하였다. 먼저 그래프분석과 상관분석을 통하여 우리는 일일 평균온도는 양파의 무게 증진에 가장 큰 양의상관이 있고, 풍속이나 습도 그리고 일조량들은 양파의 성장에 약간의 영향력이 있으며 강우량은 양파의 성장에 전혀 도움이 안됨을 알 수 있었다. 두 번째로 범함수 회귀 분석을 통하여 얻어진 각 환경요인들에 대한 회귀계수들의 그림을 통하여 우리는 양파의 성장 기간 동안에 이들의 무게를 향상시키기 위해서는 어떻게 환경요인들을 관리해야 되는 가를 알 수 있는 재배방법을 유도하였다.

• 농촌지도와개발
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• 제22권4호
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• pp.435-444
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• 2015

This study analyzes the structural relationship between attitudes and learning more properties in agricultural college education programs. The results were as follows. first, The model was accepted according to the some goodness of fit statistics such as ${\chi}^2$(84.28, p>.05), RMR(.036), RMSEA(.041), GFI(.927), NFI(.945), CFI(.985), IFI(985). seconds, Learning attitude(.31) and content validity(.47) in the structural relationship between variables is a direct impact on satisfaction. thirds, Perceived Usefulness(.34) and Content validity(.36) has direct effect of factor on learning attitude. Finally Perceived Usefulness was found to direct effect all Content validity(.64) and easy of use(.27). Finally, considering of duties required in the agriculture. increase the satisfaction of learners should have provide field learning based Learning materials, practices, instructional media. As a result, it will enhance the performance of field learning agricultural education programs.

• 한국농공학회논문집
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• 제49권2호
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• pp.49-60
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• 2007

The alpine agricultural activities are usually performed at higher and steep areas in nature. Thus, significant amounts of soil erosion are occurring compared with those from other areas. Thus, the soil erosion induced environmental impacts in these areas are getting greater. The Doam watershed is located at alpine areas and it has been well known that the agricultural activities in the watershed are causing accelerated soil erosion and water quality degradations. Many modeling approaches were employed to solve soil erosion and water quality issues. In this study, the Soil and Water Assessment Tool (SWAT) model was utilized to simulate the hydrologic and sediment behaviors in the Doam watershed. In many previous modeling studies, the digital soil map and its corresponding soil properties were used without modification to reflect soil conditioning at many agricultural fields of the Doam watershed. Thus, the soil sample was taken at the agricultural field within the Doam watershed and analyzed for its physical properties. In this study, the digital topsoil properties in the agricultural fields within the Doam watershed were replaced with the soil properties for reconditioned soil analyzed in this study to simulate the impacts of using soil properties for reconditioned soil in hydrologic and sediment modeling at the Doam watershed using the SWAT model. The hydrologic component of the SWAT model was calibrated and validated for measured flow data from 2002 to 2003. The $R^2$ value was 0.79 and the EI value was 0.53 for weekly simulated data. The calibrated model parameters were used for hydrologic component validation and the $R^2$ value was 0.86 and the EI value was 0.74 for weekly data. For sediment comparison, the $R^2$ value was 0.67 and the EI value was 0.59. These statistics improved with the use of soil properties of the reconditioned soil in the field compared with the results obtained without considering soil reconditioning. The simulated sediment amounts with and without considering the soil properties of the reconditioned soil were 284,813 ton and 158,369 ton, respectively. This result indicates that there could be approximately 79% of errors in estimated sediment yield at the Doam watershed, although the model comparison with the measured data gave similar satisfactory statistics with and without considering soil properties from the reconditioned soil.

• 농약과학회지
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• 제4권4호
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• pp.35-39
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• 2000

국내 농업환경 중 농약지표 설정을 위해 16개 지대 29지역 100농가를 대상으로 수도 재배용 농약 실제 사용량을 조사 분석하였다. 또한 농약별 실제 사용량에 따른 잔류 경향을 알아보고자, 조사농가에서 재배된 벼의 현미 및 볏짚 중 농약잔류량을 분석하였다. 수도재배시 용도별 농약 실제 사용량은 살충제 43%, 제초제 29%, 살균제 27%를 나타냈으며, 살충제 중 주요 사용농약은 carbofuran, BPMC, cartap 등이었다. 제초제는 혼합제인 molinate+pyrazosulfuran-ethyl과 butachlor, 살균제의 경우 IBP와 혼합제 isoprothiolan+tricyclazole이 우선적으로 사용되었다. 제형별 농약사용량은 입제농약 위주의 사용경향을 나타냈으며 GR>DP>WP>EC>FG>SP 순이었다. 수도재배 단위면적당(a.i./ha) 농약사용량은 7.13 kg이었으며, 전국 총 사용량을 추산한 결과 8,387 M/T로 추정되었다. 용도별 농약 실제 사용량과 출하량과의 일치도는 살충제 84.3%, 제초제 77.8%, 살균제 94.7%로 나타났고 총 실물량 일치도는 97%이었다. 농약 실제 사용량에 따른 농약잔류성은 살균, 살충제로서 사용 빈도가 높은 농약인 BPMC와 IBP가 $57.7{\sim}94.9%$의 높은 검출빈도를 나타냈으며, 이들 농약의 잔류수준은 허용기준 미만이었다.

• 한국응용곤충학회:학술대회논문집
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• 한국응용곤충학회 2002년도 합동 춘계 학술발표회
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• pp.152-152
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• 2002