• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2005.09a
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• pp.219-221
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• 2005

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.435-440
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• 2007

본 연구는 무리행동과 인지적 유용성을 중심으로, e-learning 컨텐츠 구매에 미치는 영향을 e-learning 수강경험자 집단과 경험하지 못한 잠재구매자 집단의 차이점을 경험적인 측면에서 밝히고자 시도하였다. 전체 528명의 표본을 경험자(395명)와 비경험자(133명)로 나누어 PLS(Partial Least Square)를 통하여 분석한 결과 e-learning 구매 경험자는 인지적 유용성이 구매의도에 주는 영향이 무리행동의 영향보다 큰 것으로 나타났고, 잠재 구매자는 무리행동이 구매의도에 주는 영향이 더 큰 것으로 나타났다.

• Journal of Practical Agriculture & Fisheries Research
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• v.14 no.1
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• pp.23-45
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• 2012

The objective of this study is to provide development strategies in the production and distribution system of highland Chinese cabbage by evaluating and analyzing problems of the current system, focusing on several main stages between production and distribution system of highland Chinese cabbage. Through interview of groups such as farmers, distributers in the main producing areas, commission merchants of the wholesale market and large-scale distributors the relavant information was collected. Also, data such as production situations in main producing areas, distribution conditions in the wholesale market was analyzed. The functions of highland Chinese cabbage were classified and the current state of highland Chinese cabbage distribution system was investigated to provide an overall insight into the highland Chinese cabbage distribution system. Also the factors which will affect a price of wholesale market and consumer of highland Chinese cabbage were examined. Finally problems and improvements in the production and distribution system through analysis of the distribution system of highland Chinese cabbage were provided. the main contents of this study are as follows. The first is to keep stability of production in main producing areas by applying a differentiated production method, for example, rainshelter cultivation method. The second is to establish the distribution system which the relevant information is opened transparently. The third is that the consistent cold transportation system from main producing areas to consumers must be built.

• Smart Media Journal
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• v.11 no.4
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• pp.9-18
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• 2022

Recently, research and system using AI is rapidly increasing in various fields. Smart farm using artificial intelligence and information communication technology is also being studied in agriculture. In addition, data-based precision agriculture is being commercialized by convergence various advanced technology such as autonomous driving, satellites, and big data. In Korea, the number of commercialization cases of facility agriculture among smart agriculture is increasing. However, research and investment are being biased in the field of facility agriculture. The gap between research and investment in facility agriculture and open-air agriculture continues to increase. The fields of fruit trees and plant factories have low research and investment. There is a problem that the big data collection and utilization system is insufficient. In this paper, we are proposed the system for determining the fruit tree growth stage using a deep learning-based object detection model. The system was proposed as a hybrid app for use in agricultural sites. In addition, we are implemented an object detection function for the fruit tree growth stage determine.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2005.10a
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• pp.7-13
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• 2005

There are two ways to mitigate the drought. One is the structural measures such as storage of irrigation water, development of emergency wells, etc. The other one is the nonstructural measures such as water saving management by the early warning system. To precast and evaluate the drought, we need to develop the drought indices for agriculture. In the present drought preparedness plans of Ministry of Agriculture and Forestry (MAF), it is prescribed that the preparedness levels should be classified by considering the precipitation, reservoir storage, soil moisture in paddy and upland, and the growing status of crops. However there are not clear quantitative criteria for consistent judgment. This shows that we have not selected and utilized the proper drought index for agriculture and we did not have the information system to calculate the drought indices periodically and warn the outbreak of the drought. The objectives of the study are to develope of Agricultural Drought Evaluation System and to evaluate this indices for current agricultural status using the system.

• Proceedings of the Korean Society for Information Management Conference
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• 2000.08a
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• pp.129-132
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• 2000

GIS(Geographic Information System) tool has been applied to determine a spatial difference of weed population density in paddy field and it has introduced to rice yield difference among counties as well as to rice blast in Korea. There was highly difference between sampling sites in terms of spatial analysis which may imply to be able to apply this tool for the precesion agriculture in the 21 century.

• Korean Journal of Agricultural Science
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• v.29 no.2
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• pp.109-121
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• 2002

In the near future information technology will make more extensive applications to agricultural marketing system through e-commerce system. This paper is to investigate the current trends of e-commerce in agricultural marketing and suggest strategies for increasing agricultural product sales at the farm level as follows ; 1) price and quality control for attracting customers 2) increasing brand power for marketing promotion, and 3) devising more convenient website for internet users.

• Agribusiness and Information Management
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• v.10 no.2
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• pp.1-7
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• 2018

In the present day context of changing information needs of the farmers and diversified production systems there is an urgent need to look for the effective extension support system for the small and marginal farmers in the developing countries like India. The rapid developments in the collection and analysis of field data by using the spatial technologies like GPS&GIS were made available for the extension functionaries and clientele for the diversified information needs. This article describes the GIS and GPS based decision support system in precision agriculture for the resource poor farmers. Precision farming techniques are employed to increase yield, reduce production costs, and minimize negative impacts to the environment. The parameters those can affect the crop yields, anomalous factors and variations in management practices can be evaluated through this GPS and GIS based applications. The spatial visualisation capabilities of GIS technology interfaced with a relational database provide an effective method for analysing and displaying the impacts of Extension education and outreach projects for small and marginal farmers in precision agriculture. This approach mainly benefits from the emergence and convergence of several technologies, including the Global Positioning System (GPS), geographic information system (GIS), miniaturised computer components, automatic control, in-field and remote sensing, mobile computing, advanced information processing, and telecommunications. The PPP convergence of person (farmer), project (the operational field) and pixel (the digital images related to the field and the crop grown in the field) will better be addressed by this decision support model. So the convergence and emergence of such information will further pave the way for categorisation and grouping of the production systems for the better extension delivery. In a big country like India where the farmers and holdings are many in number and diversified categorically such grouping is inevitable and also economical. With this premise an attempt has been made to develop a precision farming model suitable for the developing countries like India.

• Journal of The Korean Society of Agricultural Engineers
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• v.52 no.2
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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.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.183-190
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• 2017

Recently the scale and area of greenhouse cultivation have been enlarged in Korea, and its importance in domestic agriculture is being increased. According to these situation, environment control systems are widely used in greenhouses. Even though development of greenhouse facilities and control devices, cultivation skill using them is in lower level more than european countries and Japan. In this study, we propose intelligent information system based on information-communication technology that supports environment control systems. Proposed system is able to support to maintain optimal environment for plant growth using data from environment control system, and also give useful knowledge for cultivation by active way. Furthermore, it estimates future status of plant growth, and suggest best strategy of environment control for current stage.