• Title/Summary/Keyword: Agricultural weather

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Pond-Wetland System for the Water Resources Conservation of Estuary Lake (담수호 수자원보전을 위한 유역처리 연못-습지 시스템(지역환경 \circled2))

  • 양홍모;최수명;윤광식
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 2000.10a
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    • pp.557-562
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    • 2000
  • Estuary lakes constructed for agricultural water resources development projects have encountered eutrophication problems. Natural water purification function of wetland is considered for nutrient removal from inflowing stream. A constructed wetland was designed and installed for pollutant loading abatement in estuary lake Koheung. Combined pond-wetland system was adopted. In this system primary and secondary ponds and six wetland cells were interconnected. Reed and cattail were selected for wetland vegetation and planted in the wetland cells. In this paper, design criteria of the pond-wetland system in temperate weather zone is presented.

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Development of A Pilot Android Application for Location-based Mobile Agricultural Information System (위치기반 모바일 농업정보시스템 구축을 위한 안드로이드 애플리케이션 시험 개발)

  • Kim, Sang Min;Jang, Min-Won
    • Journal of Korean Society of Rural Planning
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    • v.20 no.4
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    • pp.277-284
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    • 2014
  • Recently the use of smart phones and mobile devices is increasing rapidly, data search and retrieval in the mobile environments are generalized. There are only few mobile applications available in the area of agriculture while huge amount of new applications are developed and uploaded. The purpose of this study was to develop the android based mobile application for providing agricultural infrastructure and disaster information. The mobile application was designed through the database establishment and management system, server management system, and mobile application development. The database is composed of weather data, agricultural infrastructure data, and agricultural disaster data. By developing the mobile application which provides agricultural infrastructure information, it is expected to improve the accessibility to agricultural information and mitigate the agricultural disaster damages.

Field Application of Permeable Polymer Concrete Pipe for Drainage (집.배수용 투수성 폴리머 콘크리트 관의 농업 수리시설물의 현장적용)

  • 민정기;연규석;성찬용
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.45 no.6
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    • pp.136-143
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    • 2003
  • This study is performed to evaluate performance of the developed pipe when using for underground drainage in fm land, the efficiency of the pipe is examined such as quantity of drainage, water temperature and other field performance in all weather condition. Results of this study, the higher permeability through wall of the pipe is achieved by making various size pores using open-graded aggregate. And in all weather conditions, permeable polymer concrete pipe perform much better than conventional perforated pipes. During rice farming period, quantity of drainage the permeable polymer concrete pipe is 1.25 time greater than conventional perforated pipes. Therefore, use of the permeable polymer concrete pipe is greater advantages when considering collecting and draining capacity compared with conventional perforated pipes.

Development of Web-GIS based SWAT Data Generation System (Web-GIS 기반 SWAT 자료 공급 시스템 구축)

  • Nam, Won-Ho;Choi, Jin-Yong;Hong, Eun-Mi;Kim, Hak-Kwan
    • Journal of The Korean Society of Agricultural Engineers
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    • v.51 no.6
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    • pp.1-9
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    • 2009
  • Watershed topographical data is essential for the management for water resources and watershed management in terms of hydrology analysis. Collecting watershed topographical and meteorological data is the first step for simulating hydrological models and calculating hydrological components. This study describes a specialized Web-based Geographic Information Systems, Soil Water Assessment Tool model data generation system, which was developed to support SWAT model operation using Web-GIS capability for map browsing, online watershed delineation and topographical and meteorological data extraction. This system tested its operability extracting watershed topographical and meteorological data in real time and the extracted spatial and weather data were seamlessly imported to ArcSWAT system demonstrating its usability. The Web-GIS would be useful to users who are willing to operate SWAT models for the various watershed management purposes in terms of spatial and weather preparing.

Basic Investigation on the Water Resource Development of the Principal Riever Basins for All Weather Farming (전천후농업용수원 개발을 위한 중요하천 수계별 기본조사의 실시)

  • 임은진
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.9 no.2
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    • pp.1291-1295
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    • 1967
  • This paper is a brief description on the task of the basic investigation of the water resource development of the principal river basins in this country for all- weather farming. In order to show how the people in the nation can best be benefited by further development of the water resources of the basins, this paper includes a description of the in individual basin's resource, its needs and problems, and its present and future development of the water resources within the natural drainage basin of the rivers are listed and their over-all results are summarised in the investigation report and separately filled. It is hoped that the government should continue and expand its detailed investigations of potential projects within the each principal river basin to obtain adequate information by which the Union of Land improvement Association can formulate a comprehensive plan for use of all the water resources of the basin's and select and recommend projects for successive stages of development.

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Analysis of Factors Influencing Cultivation Area of Apple Cultivars (사과 품종별 재배면적 변동 요인 분석)

  • Choi, Don-Woo;Kim, Dong-Choon;Lim, Cheong-Ryong
    • Journal of Korean Society of Rural Planning
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    • v.24 no.3
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    • pp.25-31
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    • 2018
  • This study analyzed factors influencing cultivation area of two major apple cultivars, Fuji and Hongro, applying the panel SUR model to survey data from farms. Characteristics of farms, distribution factors, and weather factors were the independent variables of the model. The analysis indicated that characteristics of farms, distribution factors, and weather factors influence the cultivation area of Hongro and Fuji. The independent variables were also found to have different levels of influence on increase and decrease of the cultivated area. Helping predict changes in cultivation area of Hongro and Fuji, the research results can be used as primary data to support efforts to prevent price fluctuations due to changes in supply.

Optimal Reservoir Operation Models for Paddy Rice Irrigation with Weather Forecasts(Ill) -Model Application- (기상예보를 고려한 관개용 저수지의 최적 조작 모형(III) -모형의 적용-)

  • 김병진;박승우;정하우
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.36 no.3
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    • pp.47-59
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    • 1994
  • The irrigation reservoir operation models developed were tested with weather and field data, and the sensitivity of the water requirement deficiency indices(WRDI) were checked with different initial reservoir storages, irrigated areas, and other water uses from the reservoir storage. Seven reservoir release rules were applied to Yongseol Reservoir. Twenty year WRDIs were computed to check performances of those reservoir release rules. Mean WRDIs were 138, 198, 198, 200, 240, 344, and 1033mm for ROM, TOS, COS, CRR, MSC, FAS, and SRC, respectively. The results indicated that ROM contributes consistently to higher operation efficiencies of an irrigation reservoir. The test results of LFROM and SFROM showed that reservoir operation with the proposed optimization technique ROM would be better suited for an irrigation district than those with the other rules. And the proposed model could be used as a tool to improve reservoir operations.

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Price Forecasting of a Chinese Cabbage with Meteorological Information using Deep Learning Technique (딥러닝 기반의 기상정보를 반영한 배추 가격 예측)

  • Chae, Myungsu;Jung, Sungkwan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.412-414
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    • 2017
  • It is important to predict price of agricultural products accurately to government, local government, bodies in charge of agriculture. Production and shipping of agricultural products are affected by weather condition significantly. In this research, prediction model of a Chinese cabbage which is highly sensitive to weather condition is proposed using deep learning technique. After performance of proposed model and a model of previous research is compared, superiority of proposed model is proved.

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