• Management & Information Systems Review
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• v.24
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• pp.155-185
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• 2008

This study tries to find out the resonable improvement method of the export logistics system for fresh agriculture products. Export logistics system improvement of fresh agriculture products rationalized the export network covering the export and import of fresh agriculture products from producers to end customers and realized cost reduction and profit maximization. We are also operating our very own comprehensive logistics system that maximizes customer satisfaction. Supporting the entire logistics process starting from the collection, unloading, sorting, packaging, customs clearing, and information up to comprehensive logistics services, the export logistics system of fresh agriculture products realized a comprehensive transport system that uses 12 feet cool container. We have successfully reduced logistics costs through efficient operation in the export logistics system of fresh agriculture products.

• Korean Journal of Organic Agriculture
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• v.27 no.2
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• pp.133-146
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• 2019

This study analyze the certified management bodies for rural convergence industry promotion in Jeonnam province. The main results are as follows. Firstly, both certified management bodies and committee members are positive about the prospects of the 6^th industry, and they also agree on the need for 6^th Industrial accreditation system. Secondly, The 6^th industry affects "creation of value added" and "linked to regional agriculture." In other words, we can see that the 6^th industry can contribute to creating new values and linking regional agriculture. Finally, in order to foster certified management bodies for the 6^th industry, the management bodies put joint promotion, marketing and sales support on a priority basis, and was interested in supporting commercialization, such as on-site coaching, while the expert committee put priority on fostering the search for profit models, placing importance on supporting commercialization such as customized coaching.

• Journal of Information Processing Systems
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• v.16 no.3
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• pp.629-638
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• 2020

In this paper, an unmanned automation system for harvesting chili peppers through image recognition in the color space is proposed. We developed a cutting-edge technology in terms of convergence between information and communication technology (ICT) and agriculture. Agriculture requires a lot of manpower and entails hard work by the laborers. In this study, we developed an autonomous application that can obtain the head coordinates of a chili pepper using image recognition based on the OpenCV library. As an alternative solution to labor shortages in rural areas, a robot-based chili pepper harvester is proposed as a convergence technology between ICT and agriculture requiring hard labor. Although agriculture is currently a very important industry for human workers, in the future, we expect robots to have the capability of harvesting chili peppers autonomously.

• Korean Journal of Organic Agriculture
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• v.21 no.2
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• pp.157-170
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• 2013

The objective of this study is to investigate the commercializations and difficulties on the farm-food. For the activation of the farm-food, it is necessary to totally review the support of the government and prepare the supporting system like manual on the commercialization of farm-food that is helpful to the small farmers. It is also necessary to support small farms strategies customized for increase the sales and satisfaction on farm-food and build-up the promotion related to the green tour and/or farm experience. The results and finding of this study can be used to build-up the supporting system that reflects the rapid change of market and customer's preference. They can also be used to design rational policies that is helpful to the farm-food producers.

• Journal of Information Technology Services
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• v.12 no.1
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• pp.15-32
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• 2013

The concrete information technology (IT) has affected ways for supporting agricultural products. However, studies relating IT to agriculture in a broader sense have not been prevalent. The objective of this study is to improve agencies' effectiveness and performance in the use and application of IT through understanding the organizational fit and misfit. This research applied a multi-contingency view to Korean IT supporting agricultural promotion agencies and it evaluated the competitiveness of these agencies with reference to the correspondence of factors (Goal, Strategy, Environment, Knowledge Exchange, Task Design, and Information System) affecting their performance with organizational goals. The results reveal that organizations with good performance show better organizational fit with their organizational goal. This study contributes to the ways of efficient IT management in agricultural organizations in Korea.

• Agribusiness and Information Management
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• v.7 no.1
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• pp.1-9
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• 2015

The purpose of this study is to develop a growth prediction model that can predict growth and development information influencing the production of citrus fruits: the growth model algorithm that can predict floral leaf ratio, number of fruit sets, fruit width, and overweight depending on the main period of growth and development with consideration of the applied weather factors. Every year, large scale of manpower was mobilized to investigate the production of outdoor-grown citrus fruits, but it was limited to recycling the data without an observation supporting system to systemize the database. This study intends to create a systematical database based on the basic data obtained through the observation supporting system in application of an algorithm according to the accumulated long term data and prepare a base for its continuous improvement and development. The importance of the observed data is increasingly recognized every year, and the citrus fruit observation supporting system is important for utilizing an effective policy and decision making according to various applications and analysis results through an interconnection and an integration of the investigated statistical data. The citrus fruit is a representative crop having a great ripple effect in Jeju agriculture. An early prediction of the growth and development information influencing the production of citrus fruits may be helpful for decision making in supply and demand control of agricultural products.

• Korean Journal of Organic Agriculture
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• v.20 no.4
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• pp.563-576
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• 2012

The Purpose of this paper is to establish development strategies for sustainability of environment-Friendly agriculture based on farm awareness analysis. To analysis farm management, a series of farm household surveys were conducted on farmers residing in Embong-Myun. The sample size of the survey is 108 respectively. As a survey result, satisfaction level about market stability and understanding of upper organization is high, on the contrary, awareness of related organization is low in a relative sense. Most of farmers reveal their intention to sustain environment-Friendly agriculture but future agriculturalist and an ageing society that one face as well. In order to establish development strategies for sustainability of environment-Friendly agriculture, an infrastructure should be consistently expanded. On the other hand, self-supporting ability of farmer's organization and education system attempt to expand for sustainability.

• Korean Journal of Organic Agriculture
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• v.12 no.4
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• pp.377-397
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• 2004

The objectives of this study are to find out, the fact-analysis of environmental friendly farm households around the Chuam Dam through the sample survey, 2) the developing strategies to improve the EPA on the assumption that is the conservation of Chuam Dam's water quality. The data used in this study comes from 75 sample farm households. The developing strategies to improve the EPA around Chuam Dam was found out that the efficiency measure of land utilization around CImam Dam, producing of high quality and safety agricultural products, promoting of the EPA connected with tourist agriculture, improving of the EPA products and supporting of price and income. In conclusion, there must be strategic measures to increase the income of environmental friendly farmers and to conserve the Chuam Dam's water quality.

• Journal of Agricultural Extension & Community Development
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• v.12 no.1
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• pp.97-107
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• 2005

The purpose of this study was to make a survey of the operation of childcare facilities in rural regions through in-depth interviews with 5 facility principals. Owing to regional disadvantages, rural childcare facilities have many problems as follows: uneven distribution of facilities, shortage of teachers, financial difficulties, unsuitable programs for rural regions, insufficient reeducation of principals and teachers, and poor operations and accessibility for handicapped or very young children. The principals proposed that many conditions might be made better as follows: evenly distributing facilities in step with needs and supply, raising the salary of teachers of rural facilities, supporting the facilities themselves side by side with supporting children, improving 'childcare fee supporting system' of the Ministry of Agriculture and Forestry, developing and spreading programs suitable for rural regions, and promoting the reeducation of principals and teachers through online programs.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.5
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• pp.521-530
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• 2018

This paper proposes "The Agriculture Decision-making System(ADS) based on Deep Learning for improving crop productivity" that collects weather information based on location supporting precision agriculture, predicts current crop condition by using the collected information and real time crop data, and notifies a farmer of the result. The system works as follows. The ICM(Information Collection Module) collects weather information based on location supporting precision agriculture. The DRCM(Deep learning based Risk Calculation Module) predicts whether the C, H, N and moisture content of soil are appropriate to grow specific crops according to current weather. The RNM(Risk Notification Module) notifies a farmer of the prediction result based on the DRCM. The proposed system improves the stability because it reduces the accuracy reduction rate as the amount of data increases and is apply the unsupervised learning to the analysis stage compared to the existing system. As a result, the simulation result shows that the ADS improved the success rate of data analysis by about 6%. And the ADS predicts the current crop growth condition accurately, prevents in advance the crop diseases in various environments, and provides the optimized condition for growing crops.