• The Korean Journal of Community Living Science
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• v.27 no.spc
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• pp.681-688
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• 2016

This study examined the effective uses of an ecosystem service value assessment in the fields of rural planning and development through archiving and reviewing/analyzing existing concepts, evaluation methods and prior examples of Ecosystem services. Based on land cover analysis, this study evaluated the usability changes in the ecosystem service value for a period spanning 1975 to 2000. The results from the countrywide data survey (with an exception of Jeju island) showed a 33.15% decrease in ESV by 2000. The total ESV represented 5,385 million USD in 1975, and 3,600 million USD in 2000 of the study area. In addition, the ecosystem service value with a scale of metro cities and provinces was also examined. The ESV of most regions decreased by 2000, but Daejeon and Kyeongnam, and Kyeongbuk provinces increased. The trends of year to year changes in the ESV were very diverse throughout the country. Jeonnam showed the smallest decrease, 747 million USD, which is 59% of the ESV in 1975. Nevertheless, the despite the regional differences in available natural resources, the natural resource assets value is ultimately determined by rural development policies and regional economic attributes. Therefore, an ecosystem service must be considered as an important criterion for rural planning and development policy.

• Korean Journal of Environmental Agriculture
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• v.38 no.3
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• pp.159-165
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• 2019

BACKGROUND: The water footprint (WF) is an indicator of freshwater use that appears not only at direct water use of a consumer or producer, but also at the indirect water use. As an indicator of 'water use', the water footprint includes the green, blue, and grey WF, and differs from the classical measure of 'water withdrawal' because of green and grey WF. This study was conducted to assess and estimate the water footprint of the soybean and Chinese cabbage. METHODS AND RESULTS: APEX model with weather data, soil and water quality data from NAS (National Institute of Agricultural Sciences), and farming data from RDA (Rural Development Administration) was operated for analyzing the WF of the crops. As the result of comparing the yield estimated from APEX with the yield extracted from statistic data of each county, the coefficients of determination were 0.83 for soybean and 0.97 for Chinese cabbage and p-value was statistically significant. The WFs of the soybean and Chinese cabbage at production procedure were 1,985 L/Kg and 58 L/Kg, respectively. This difference may have originated from the cultivation duration. The WF ratios of soybean were 91.1% for green WF and 8.9% for grey WF, but the WF ratios of Chinese cabbage were 41.5% for green WF and 58.5% for grey WF. CONCLUSION: These results mean that the efficiency of water use for soybean is better than that for Chinese cabbage. The results could also be useful as an information to assess environmental impact of water use and agricultural farming on soybean and Chinese cabbage.

• Advanced Industrial SCIence
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• v.3 no.2
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• pp.17-22
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• 2024

Recently, as the ICT field has been used in various environments, it has become possible to analyze pests by crops, use robots when harvesting crops, and predict by big data by utilizing ICT technologies in a sustainable agricultural environment. However, in a sustainable agricultural environment, efforts to solve resource depletion, agricultural population decline, poverty increase, and environmental destruction are constantly being demanded. This paper proposes an artificial intelligence-based big data processing analysis method to reduce the production cost and increase the efficiency of crops based on a sustainable agricultural environment. The proposed technique strengthens the security and reliability of data by processing big data of crops combined with AI, and enables better decision-making and business value extraction. It can lead to innovative changes in various industries and fields and promote the development of data-oriented business models. During the experiment, the proposed technique gave an accurate answer to only a small amount of data, and at a farm site where it is difficult to tag the correct answer one by one, the performance similar to that of learning with a large amount of correct answer data (with an error rate within 0.05) was found.

• Journal of Biosystems Engineering
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• v.38 no.1
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• pp.25-32
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• 2013

Purpose: The objective of this study is to develop a data middleware for u-IT convergence in agricultural environment monitoring, which can support non-standard data interfaces and solve the compatibility problems of heterogenous sensor networks. Methods: Six factors with three different interfaces were chosen as target data among the environmental monitoring factors for crop cultivation. PostgresSQL and PostGIS were used for database and the data middleware was implemented by Python programming language. Based on hierarchical model design and key-value type table design, the data middleware was developed. For evaluation, 2,000 records of each data access interface were prepared. Results: Their execution times of File I/O interface, SQL interface and HTTP interface were 0.00951 s/record, 0.01967 s/record and 0.0401 s/record respectively. And there was no data loss. Conclusions: The data middleware integrated three heterogenous sensor networks with different data access interfaces.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1993.10a
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• pp.896-905
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• 1993

Thin-layers of wheat and barley are dried at near-ambient temperatures(3.5$^{\circ}C$ -5$0^{\circ}C$) in order to obtain the intrinsic drying data. The well established apparatus was modified to enable it to record all the sample weight data in still air by using a purpose -built automatically controlled sliding valve. The air could be diverted in less than 0.5seconds and a 7 second period was required to attain a steady weight reading. With this apparatus, very smooth drying curves were obtained. The data of sample weight , drying temperature and dew point temperature wee recorded continuously . The drying process was terminated when the moisture content change in 24 hours was less than 0.004 d.b. This was achieved by drying a sample for about a week . The final points were recorded as the dynamic equilibrium moisture content(EMC). The drying data were than fitted to the exponential Newton model and the dynamic EMC data were fitted to the Modified-Chung-Pfost Model . All the fitted parameters are given and comparison is made with previous published data. The comparisons who that the current drying constants are lower than the previous data, the dynamic EMC data obtained for wheat and barely agree with the previous data. The results show that to obtain the drying constant in the exponential Newton model, adequate drying time is necessary.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.7
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• pp.1246-1252
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• 2006

Recently, customers interest increase in the agricultural product safety when receiving the many information about food problem due to the development of media. Such amid, domestic agricultural environment don't have a system that safety certification of agricultural product. At this rate, domestic agricultural products will decrease the competitive power and apprehend by the giving a market to foreign agricultural product. In this paper, we designed and implementation of AIGT system for the improvement of agricultural environment to producing the agricultural product safety and customers' reliability increase to offering clear information. Also, we defined the right data structure for agricultural environment. The monitoring and video conference are imported for efficient improvement of environment.

• Journal of Korean Society of Rural Planning
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• v.29 no.4
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• pp.153-163
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• 2023

This study was conducted to review data utilization plans and suggest solutions based on the need for tools that can objectively diagnose problems in rural areas. The study extracted items through prior research and was carried out as a process of reviewing data capable of constructing spatial data. The results performed in the above manner are as follows. First, prior research and expert surveys were conducted to select diagnostic items to derive details of a total of three items that should be considered for rural space plans such as regional revitalization and regeneration using regional characteristics such as environment, society, and culture. Second, as a result of listing data available for regional diagnosis, 6 types of environment, 15 types of society, and 18 types of culture were selected out of a total of 529. Finally, it was suggested to establish a national standard spatial unit by grasping the limitations of public data such as omission of spatial data and accuracy. This study is significant in that it presented implications for data utilization as well as selection of items for rural diagnosis and reviewed data utilization based on rural specialized districts of "The Act on Support for Restructuring and Regeneration of Rural Spaces" to be implemented in 2024. This is considered to be valuable as a study for sustainable rural diagnosis if processes such as spatial data construction and weight setting are carried out in the future.

• Korean Journal of Community Nutrition
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• v.16 no.1
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• pp.75-85
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• 2011

The purpose of this study was to investigate basic data on the degree of parents' recognition and satisfaction with the use of environment-friendly agricultural products. The conclusions of this study are as follows. The survey on the use of environment-friendly products in households showed that 68.7% of the respondents used environment-friendly products at home. The frequency of purchasing organic products by household consumers showed that 25.1% of the respondents bought organic products one to two times per week. The most popular items of the environment-friendly agricultural products used were vegetables, comprising 63.9%. The households with more than 3,000,000 won of monthly income tended to consume more domestic livestock products (p < 0.05). In comparison to general agricultural products, environment-friendly agricultural products users showed higher satisfaction level with a better quality in term of safety, quality, nutrition, taste, appearance, diversity and price. The degree of satisfaction with safety was the highest ($3.8{\pm}0.68$), and price showed the lowest ($2.76{\pm}0.79$). The degree of parents' recognition of the governmental support for environment-friendly agricultural products showed that those who were aware of the supporting policy were 44.5%, but 55.5% of them didn't know about the fact that 46.6% of the respondents agreed that environment-friendly agricultural products should be used in more than 50% of the foods used for school food service. The respondents pointed out that vegetables (45%) sprayed with pesticide are the most urgent food item that need to be replaced by environment-friendly farm products.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1996.06c
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• pp.1081-1089
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• 1996

In Korean agriculture, an automatic environment control system for greenhouse is essential to save labor and to increase the quality of products. The existing environment monitoring systems have weighed on greenhouse growers and researchers because of their high cost and difficult applications. Many sensors are widely used for monitoring the greenhouse environment, but most of commercial sensors are expensive and not suitable for use in greenhouses. Thus , the development of an environment monitoring system for exclusive use in greenhouses is essential . The objective of this study was to develop modular environment monitoring systems, which are low-cost , reliable and easy -to -use. The results showed that the sensors for indoor and outdoor environments and nutrient solution had the ranges and accuracies appropriate for use in greenhouses. Also the modular environment systems developed showed a satisfactory performance in terms of stability and reliability in the measurement and acquisition of the greenhouse environment data.

• Journal of Environmental Science International
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• v.26 no.11
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• pp.1255-1266
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• 2017

Phosphorus (P) is an essential and major nutrient for both plants and animals. However, anthropogenic P in the environment may cause severe problems such as the deterioration of water quality. Therefore, it is essential for the Korean government to manage P in the agricultural sector. The annual P budget for Korea was 46 kg P ha-1 in 2013, placing Korea in second among Organisation for Economic Co-operation and Development (OECD) countries. P surplus and deficiency in agricultural lands can be estimated according to the P budget, which is one of the OECD agri-environment indicators. In the P budget, it is important to ensure consistency in the input-output data sources, in order to apply national and regional policies for the environmentally sound management of agricultural P. This study examines the impacts on the input-output data sources in the regional P budget in Korea. P budgets were between 99-145 kg-P/ha, depending on different data sources. We suggest two recommended data combinations (DC 1 and DC 2) for reliability of the data. P budgets calculated using DC 1 and DC 2 were 128 kg-P/ha and 97 kg-P/ha, respectively. According to the results, one of the core factors affecting P budgets was crop production. In this study, DC 2 was recommended rather than DC 1 in order to consider the cultivated areas for various crops. It is also necessary to analyze the sensitivity of the coefficients used in P budget in the future.