• 한국유기농업학회지
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• 제10권1호
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• pp.19-34
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• 2002

This study is to analyze the demand for organic farming products . The demand for organic farming products is increasing rapidly but the study to analyze the demand system by the methods of econometrics is not tried at all because there is no any formal statistical data about the demand. Therefore, this study tries to estimate the raw statistical data to expect the demand trends of organic farming products in the future. To analyze the demand functions of organic farming products such as rice, bean, apple, grape, beef, and park, this study uses AIDS model by using several assumptions and estimates the price and income elasticities of the demands. The results demonstrate that the demands of organic farming products will be increased in the future and the prices of organic farming products will be the key factor in the demand, In 2004, the quantity demanded of the organic grape will account for 3% of total grape market. As a result, consumer's concerns about organic farming products will be high and the demand for organic farming products will be increased. Thus, the reasonable price system has a significant influence on the market of organic farming products.

• 한국정보통신학회논문지
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• 제24권11호
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• pp.1534-1538
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• 2020

스마트농업 교육 서비스는 농업정보의 확산을 촉진하기 위해 제공되며 농업 정보는 현재의 농업활동, 농산품, 농지에서의 생산자 경험으로부터 추출된다. 스마트농업 교육은 웹 오브젝트 기반의 자기주도형 학습으로 제공되어 공간, 장소, 시간에 제약을 받지 않는다. 본 연구에서는 클라우드를 기반으로 하는 학습관리기능과 감시기능, 학습심사기능 등으로 구성된 스마트농업 교육의 기준 구성도를 제시하여 스마트농업의 확산을 위해 필수적으로 요구되는 스마트 농업 교육 서비스 기술 표준 및 스마트 농업의 보급 과정에서 필요한 네트워크 기반 참조 모델을 제시 한다.

• 한국인터넷방송통신학회논문지
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• 제22권6호
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• pp.179-184
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• 2022

최근 4차 산업혁명 시대에 발맞춰 개방하는 공공데이터가 증가함에 따라 농업 공공데이터 또한 증가하고 있다. 현재 농업인 대다수가 친환경 인증과 기본형 공익직접지불사업을 이유로 영농일지를 작성하고 있다. 그러나 바쁜 농가에 고령화된 농촌 사회에서 영농일지를 작성하는 것은 힘든 일이다. 이 때문에 영농일지를 대리 작성하는 일이 일어나고 있다. 그러나 이 경우 친환경 인증과 기본형 공익직접지불사업에서 불이익을 받을 수 있다. 따라서 본 논문은 영농일지를 작성할 때 작물과 날짜를 통해 서버에 저장된 영농일지 데이터를 확인하고 사용자에게 적합한 영농일지 공공데이터를 찾아 자동으로 영농일지를 채움으로써 영농일지를 편리하게 작성하는 시스템을 제안한다.

• 한국농공학회논문집
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• 제52권2호
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• pp.35-42
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• 2010

In this paper, we propose a ubiquitous Farming Diary System which can support the easy and reliable recording of a farming diary for the certificate on environment-friendly agricultural products by using the USN(Ubiquitous Sensor Network) technologies. By using growth-related data, the system can also control farming facilities remotely and automatically. To achieve this goal, the UFDS(Ubiquitous Farming Diary System) is consisted with 3 layers. The first 'physical layer' can collect data from sensors, cameras and facilities then controls the growth environment based on the analyzed information. The second 'Middle layer' can process and store the data from 'physical layer' to sensor manager, image manager, control manager and diary manager separately. The third 'application layer' can provide growth-related services to users through various applications. The UFDS can recording grow history information automatically and Easily. Besides, the system can make an accurate and reliable farming diary with multimedia information such as motion and sound. Furthermore, environmental information such as temperature, humidity, luminance and soil conditions (soil temperature, soil humidity, soil EC) can be monitored in real-time and the facilities managed in remote sites.

• 농업과학연구
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• 제37권3호
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• pp.509-514
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• 2010

The purpose of this study is to analyze the technical efficiency and its determinants for Korean Apiculture farming by using from door to door and e-mail inquiry data. The analysis was implemented through the Cobb-Douglas stochastic frontier production function (SFPF) model including the technical inefficiency effect model for cross-sectional data. To measure the SFPF model, honey production was used for a dependent variable, and for input variables labor cost, preventive cost, material cost, feeding cost, depreciation cost were used. Farmer's age, farmer's career, farming scale, full-time or half-time firm and movement or fixed firm variables were used to measure the inefficiency effect model. The average technical efficiency on apiculture farming in Korea is estimated to be 0.8112. It means that there were technical inefficiency of about 18.88% in Korea apiculture farming. In this study there are some suggestions which could increase the technical efficiency of Korean apiculture farming.

• 품질경영학회지
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• 제46권3호
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• pp.707-716
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• 2018

Purpose: This study aims to analyze the management performance and production efficiency of strawberry farmers who introduced smart farming, one of the primary symbols of the fourth industrial revolution in the agricultural sector. Methods: We conducted an empirical survey of strawberry farms using smart farming and analyzed production efficiency using DEA method. Results: First, difficulties for strawberry farmers introducing smart farming included time and money spent on parts replacement and additional costs due to compatibility problems with existing facilities after the adoption. Second, strawberry farmers using smart farming increased their total income by producing higher yield and improving quality thanks to the competent growth management. Third, the analysis of production efficiencies before and after smart farming found improvement in technical efficiency, pure technical efficiency, and scale efficiency. But, the gaps in technical and scale efficiencies among the farms widened. Conclusion: Based on the results above, following policy suggestions are offered. First, an environment control technology suitable for strawberry farming needs to be developed. Second, the smart farming technology needs to be standardized by the government. Third, new smart farm models need to be developed to accommodate to the facilities and environment in Korea through collecting big data including high-quality data on the environment, growth, and yield. Fourth, continuing education needs to be provided to narrow the gap in smart farming technology among strawberry farmers.

• 농촌지도와개발
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• 제24권1호
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• pp.33-48
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• 2017

Returning to farming and rural village is one of the most hot social issues in Korea. Therefore, the government has tried to make up a policy program, which aims to support for the urban residents to get appropriate informations and to make right decisions about returning to farming and rural village. For the sparsely populated rural communities, this phenomena are some good opportunities for their sustainable development. The government needs the resasonale prospect on returning to farming and rural village, because their policy program should be made on the basis sound data and information. But, with the current data about returning to farming in Korea, it is impossible to make an econometrical model that can forecast the population who will return to farming and rural village. So, we tried a delphi method to sketch the future returning to farming and rural village. The delphi panels gave us some prospects on the issues. They anticipated that the population of returning to farming will increase for the next five years. And, they recommended some policy directions.

• 농촌계획
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• 제24권4호
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• pp.27-35
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• 2018

This study analyzed the factors influencing the choice of new farming type in order to prepare the countermeasures against structural changes of farm labor force. The analytical model was the multinomial logit model(MNL). The test for Independence and Irrelevance Alternatives(IIA) assumption in MNL shows that the IIA assumption in our data is rejected. Alternatively, we chose the multinomial probit model(MNP) that does not assume IIA. Data were obtained from 2010 census of Agriculture, Forestry and Fisheries of Statistics Korea. New farming types are succession(13.9%), return-to-farming(45.0%), part-time-farming(32.5%) and etc(8.6%). Analysis results showed that the characteristics of farms, commodity, management, and region influenced the choice of new farming type. This study is expected to help policy makers to produce support policies by new farming types in order to increase the number of new farmers and to make them easier to settle down in agriculture.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.194-196
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• 2021

본 논문에서는 스마트농업의 생산 전 단계에서 생산 계획을 세워야 하는 농업 생산자와 유통사업자들에게 농업 정보 데이터를 제공하고 빅 데이터 분석에서 요구되는 다량의 데이터를 처리하고 분석할 수 있는 형태로 변환시켜 분석에 적용하는 스마트 농업 생산 전 서비스 모델을 제시한다. 수집된 데이터들을 저장 및 추출하기 위한 농업 정보 베이스의 구축 그리고 농업생산자와 유통사업자의 질의에 대응하여 적절한 자문을 수행할 수 있게 해주는 상호 소통 수단에 대한 기준 구조도 제시하였다.

• Journal of Biosystems Engineering
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• 제19권3호
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• pp.258-273
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• 1994

In this study, an expert system named ESMEF (Expert System for Mechanized Entrusted Farming) was developed. The function of ESMEF is to provide the various data and informations for entrusted farming such as farm machinery management data, mechanization systems by farm sizes, number of units and sizes of machinery needed, machinery replacement analysis, mechanization costs analysis. Mechanization systems were selected by ESMEF for different farming sizes of Chungnam Province and an economic analysis was conducted as an example. The results showed that the farm machinery purchasing costs were 1,344~4,829 thousand won per ha and there was no significant difference for farm sizes above 60 ha. The total annual machinery costs were 3,595~4,537 thousand won per ha, and a minimum cost was appeared for farm size of l00ha at first. According to this analysis, an optimum entrusted farming size would be 100ha by the present available farm machinery systems.