• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 1998.10a
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• pp.395-400
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• 1998

This paper presents a geotechnical information system(HGIS) developed for Korea Highway Corporation. To make a database for boring information, characterization study of boring data is carried out. Based on tile study, the HGIS database is developed as a relational database. The HGIS database consists of 23 tables including 13 reference tables. For an effective database management, a boring log program called GEOLOG is developed. GEOLOG can print boring log and store those data to tile HGIS database.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2001.10a
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• pp.488-491
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• 2001

Tn this study aimed at developing the water quality environmental Information system using GIS. Based on the analysis that is from the pollution level of the river Jeonju depth, it suggests environment manager makes their decision protecting and helps people to use the information.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 1999.10c
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• pp.493-498
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• 1999

To extract hydrologic information more easily , the pre-processor for hydrologic model using Geographic Information System was developed . This model was applied to the Balan-reservoir watershed which is located at the southwest of Suwon. For estimation SCS curve number, landuse map and hydrologic soil group map were collected from digital map and reconnaissance soil map respectively. The estimated curve number from the GIS technique was 73.

• Journal of The Korean Society of Agricultural Engineers
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• v.49 no.5
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• pp.81-90
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• 2007

Watershed topographical information is required in hydrologic analysis, supporting efficient hydrologic model operation and managing water resources. Watershed topographical data extraction systems based on desktop GIS are abundant these days placing burdens for spatial data processing on users. This paper describes development of a Web-based Geographic Information Systems that can delineate the Geum River sub-basins and extract watershed topographical data in real time. Through this system, users can obtain a watershed boundary by selecting outlet location and then extracting topographical data including watershed area, boundary length, average altitude, slope distribution about the elevation range with Web browsers. Moreover, the system provides watershed hydrological data including land use, soil types, soil drainage conditions, and NRCS(Natural Resources Conservation Service) curve number for hydrologic model operation through grid overlay technique. The system operability was evaluated with the hydrological data of WAMIS(Water Management Information System) with the government operation Web site as reference data.

• Korean Journal of Agricultural Science
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• v.32 no.1
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• pp.95-106
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• 2005

This study was focused on analyzing the impacts of e-commerce on the farmer's management behavior and suggesting alternatives for the development of e-commerce in agricultural industry. For this study, survey was conducted for 24 farmers who sell agricultural products through e-commerce in Chungnam province. The results of study are as follows; First, farmers have changed their management practices in terms of production, marketing and processing by using the information of consumers' preferences while doing e-commerce business. Second, farmers have attempted to differentiate their product through product brand and customer relationship marketing, because they recognized the importance of developing marketing techniques adapted to e-commerce system for more revenues. Third, if quality certification system of agricultural products is introduced under e-commerce, farmers would use it for their environmentally sounded farming because they expect to increase their income. Fourth, 75% of the farmers sold their product at retail price. It means that e-commerce farmers act as a price maker rather than price taker at e-commerce market, who will be encouraged to have larger business size resulting in more added value. Based on the results of study, we suggest that there should be reduction of service charge for credit card, and encouragement of B2B transaction for the economy of scale and introduction of quality certification system so as to establish e-commerce system of agricultural industry as soon as possible.

• Journal of Agricultural Extension & Community Development
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• v.5 no.1
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• pp.103-112
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• 1998

This research was carried out to provide the information for the reorganization of County Extension system. In order to develop the extension system, basically we must understand the various characteristics of the extension organization such as farmer`s needs, community environments and its releated organizations. In respose to localization, county extension organization will be changed by the consderation its unique characteristics.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.25 no.3
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• pp.58-63
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• 2002

The Internet, as a commercial tool, presented a new market that connects producers with consumers through the E-commerce. Now, E-commerce spreads over almost all industries through the Internet excluding some. This research indicates the reason why the E-commerce is not activated in agricultural Industry, which is less developed than other industries. And it suggests a good example of E-commerce on the agricultural products combining on and off line markets. In addition, data-mining technique is suggested to analyze whole information in system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.11
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• pp.3991-4010
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• 2021

The Question Similarity Measurement of Chinese Crop Diseases and Insect Pests (QSM-CCD&IP) aims to judge the user's tendency to ask questions regarding input problems. The measurement is the basis of the Agricultural Knowledge Question and Answering (Q & A) system, information retrieval, and other tasks. However, the corpus and measurement methods available in this field have some deficiencies. In addition, error propagation may occur when the word boundary features and local context information are ignored when the general method embeds sentences. Hence, these factors make the task challenging. To solve the above problems and tackle the Question Similarity Measurement task in this work, a corpus on Chinese crop diseases and insect pests(CCDIP), which contains 13 categories, was established. Then, taking the CCDIP as the research object, this study proposes a Chinese agricultural text similarity matching model, namely, the AgrCQS. This model is based on mixed information extraction. Specifically, the hybrid embedding layer can enrich character information and improve the recognition ability of the model on the word boundary. The multi-scale local information can be extracted by multi-core convolutional neural network based on multi-weight (MM-CNN). The self-attention mechanism can enhance the fusion ability of the model on global information. In this research, the performance of the AgrCQS on the CCDIP is verified, and three benchmark datasets, namely, AFQMC, LCQMC, and BQ, are used. The accuracy rates are 93.92%, 74.42%, 86.35%, and 83.05%, respectively, which are higher than that of baseline systems without using any external knowledge. Additionally, the proposed method module can be extracted separately and applied to other models, thus providing reference for related research.

• International Commerce and Information Review
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• v.11 no.2
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• pp.49-66
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• 2009

The DDA negotiations, in 9th multilateral trade round, has focused on nine sectors including agriculture, non-agricultural market access, and service. After August 2004, member countries have intensified negotiations in order to reduce gaps between countries perspective. So most attention of members countries has been focused on agricultural trade and non-agricultural market access. Agricultural negotiation confront tough challenges because of different positions among members countries, and are not expected to reach perfect forms of modalities. Nevertheless based on the fact that many countries nearly reached agreement on some core. Under this circumstance, Korea has to prepare more practical strategics and more effective individual commitments to minimized the agricultural market opening. The other way, some Korean agricultural products will be exported by the DDA negotiation. Recently the understanding of Third-Party Logistics and Logistics Outsourcing are receiving increased attention as means of becoming competitive in agricultural products export improvement. So this paper presents a in-depth analysis for third-party logistics and its implications for Korea agricultural product export system improvement in E-trade Era.

• Journal of Information Technology Applications and Management
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• v.29 no.5
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• pp.27-37
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• 2022

This study intends to link agricultural machine history data with related organizations or collect them through IoT sensors, receive input from agricultural machine users and managers, and analyze them through AI algorithms. Through this, the goal is to track and manage the history data throughout all stages of production, purchase, operation, and disposal of agricultural machinery. First, LSTM (Long Short-Term Memory) is used to estimate oil consumption and recommend maintenance from historical data of agricultural machines such as tractors and combines, and C-LSTM (Convolution Long Short-Term Memory) is used to diagnose and determine failures. Memory) to build a deep learning algorithm. Second, in order to collect historical data of agricultural machinery, IoT sensors including GPS module, gyro sensor, acceleration sensor, and temperature and humidity sensor are attached to agricultural machinery to automatically collect data. Third, event-type data such as agricultural machine production, purchase, and disposal are automatically collected from related organizations to design an interface that can integrate the entire life cycle history data and collect data through this.