• Title/Summary/Keyword: 제어된 환경에서 농업

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Development of a Fully-Controlled Plant Growth System(II) - An Integrated Control System - (완전제어형 실험용 작물생육장치의 개발(II) - 복합 환경제어 시스템 -)

  • Shim, K.D.;Ryu, K.H.;Noh, S.H.;Hong, S.H.
    • Journal of Biosystems Engineering
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    • v.17 no.4
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    • pp.344-353
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    • 1992
  • This study was carried out to develop a fully-controlled plant growth system for studying the effects of environmental factors on plant growth. The plant growth system consists of the growth chamber, the measurement system for sensing and signal conditioning the environmental factors and the control system which includes control algorithm required for optimum operation and on-line monitoring. The results of the study on the performance of the controlled plant growth system are summarized as follows : 1. Under the light intensity of 18,000~20,000 lux, the temperature was controlled in the range of $22{\pm}0.4^{\circ}C$, the relative humidity of $70{\pm}5%$ respectively. 2. The $CO_2$ concentration was controlled in the range of $1,000{\pm}40ppm$(from 1st to 4th day) and $1,500{\pm}40ppm$(from 4th to 9th day). 3. The electric conductivity(EC) and pH of the nutrient solution were controlled in the range of $1.9{\pm}0.2mS/cm$ and $6.8{\pm}0.5pH$ respectively. 4. Under the above environmental conditions, the average fresh weight of leaf lettuce increased from 10g to 74g in 9 days with 24 hour lighting.

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저궤도 관측용 다중 카메라 성능 및 활용 분석

  • Sin, Sang-Yun;Yong, Sang-Sun
    • The Bulletin of The Korean Astronomical Society
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    • v.37 no.2
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    • pp.225.2-225.2
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    • 2012
  • 저궤도 관측용 다중 카메라를 통해 고해상도 위성을 제공할 수 있으며, 지도 제작이나 환경, 농업, 해양 지역 모니터링 등의 목적으로 사용될 수 있다. 특히 항공촬영 및 지구 관측을 통해 수치표고모델(DEM) 추출을 함으로써 촬영지역의 고도정보를 포함하는 입체영상을 얻는데 유용하다. 또한, 달 관측을 위한 관측위성에 장착할 경우 달 표면의 지형을 정밀하게 얻어내어 달표면 고도 지형 지도제작 및 향후 달 탐사선을 통한 달 탐사 시 탐사지역 선정에 필요한 정보를 제공할 수 있다. 다중 카메라를 포함한 탑재체 시스템은 크게 광학부와 카메라 전자부로 구성된다. 광학부에서는 입체촬영 및 줌인이 가능한 광학계를 제공하며, 카메라 전자부에서는 광학계를 통해 검출기로 입사되는 빛에너지를 전자신호로 변환하고, 이를 카메라 전자부 영상출력 형식으로 변환하게 된다. 특히, 다중카메라를 각각 제어하기 위한 정밀제어로직, 다양한 촬영 지원 모드, 다중카메라 영상자료 및 영상처리를 위한 추가적인 영상정보를 제공한다. 본 논문에서는 저궤도 관측용 다중 카메라를 이용한 다양한 활용에 따른 각 모드별 성능분석방법을 제안한다. 이를 위해 각 촬영조건에 따라 필요한 파라미터를 분석하고 실제 활용시 예상되는 성능을 분석해 본다. 또한 다중카메라를 통해 얻어진 영상을 처리하는데 필요한 처리 과정 및 처리된 영상을 활용하는 방법을 제시한다. 특히 다중 카메라 촬영을 통해 얻어진 영상데이터의 특성을 알아보고, 이를 보정 및 처리하기 위해 필요한 추가 적인 정보, 영상파라미터, 처리 단계 및 최종결과물을 검증하는 방법을 제시한다.

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Study on the Efficient Operation of Public Wastewater Treatment Facilities in Bukpyeong Industrial Complexes (북평산업단지 공공폐수처리시설의 효율적 운영에 관한 연구)

  • Park, Woon Ji;Shim, Jung Min;Choi, Yong Hun;Lee, Gwan Jae;Lim, Kyoung Jae
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.425-425
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    • 2021
  • 북평산업단지내 공공폐수처리시설(6,500톤/일)의 가동률은 30% 이하로 매우 저조하며, 폐수배출업체는 29개소로 그 수가 적어 배출오염부하량 비율에 따른 처리비용이 일부 업체의 경우 과도하게 부과되고 있는 실정이다. 입주업체 운영비용 부담을 저감하기 위해 해당 지자체에서는 운영비용의 65% 이내에서 일정금액을 지원하고 있으나, 동일업종에 대한 원인자비용부담금 비율의 경우, 동해시 A업체는 30.18%로 타 지역 B업체의 4.83% 보다 높은 것으로 나타났으며, 지자체 지원금을 제외한 순수 처리부과금의 경우 A업체가 2배 이상 큰 것으로 나타났다. 이에 북평산업단지 공공폐수처리시설의 전체 운영비 절감을 위한 효율적인 운영방안 마련이 필요하다. 따라서 본 연구에서는 북평산업단지내 공공폐수처리시설의 운영 및 관리현황을 검토하여 효율적인 운영방안을 제시하고자 하였다. 현재 운영시설에 대한 현황을 파악하고 관련 법률 및 계획등을 검토한 결과, 북평산단 지역은 하수처리 구역이 아닌 공공폐수처리구역으로 산업폐수의 공공하수도처리시설 연계처리 지침에 따라 인근 공공하수처리시설과의 연계처리가 불가한 것으로 나타났다. 또한, 환경부에서는 가동률이 저조한 처리시설에 대해서는 시설개선을 통한 방안을 제시하고 있어 현 처리시설의 공정개선을 통한 운영비 절감방안이 가장 효율적인 것으로 판단되었다. 이에, 현재 생물 반응조 후단에서 운영 중인 가압 부상조에 새로운 배관을 설치하여, 최초 침전지 유출수를 가압부상조 처리 후, 생물 반응조로 유입하고, 최종 침전 후 총인을 제어 할 수 있는 약품투입 시설을 설치하는 공정 개선 방안을 제시하였다. 이처럼 생물 반응조 이전에 가압부상조를 설치하고, 후단 가압 부상조 미운영시 공정개선 전·후에 따른 총 슬러지 발생량은 24.2%, 탈수케익 처리비용은 27.6% 절감할 수 있는 것으로 산정되었으며, 전체 처리시설에 대한 총 운영비 감소율은 13.4%로 분석되었다.

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Development of crop harvest prediction system architecture using IoT Sensing (IoT Sensing을 이용한 농작물 수확 시기 예측 시스템 아키텍처 개발)

  • Oh, Jung Won;Kim, Hangkon
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.6
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    • pp.719-729
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    • 2017
  • Recently, the field of agriculture has been gaining a new leap with the integration of ICT technology in agriculture. In particular, smart farms, which incorporate the Internet of Things (IoT) technology in agriculture, are in the spotlight. Smart farm technology collects and analyzes information such as temperature and humidity of the environment where crops are cultivated in real time using sensors to automatically control the devices necessary for harvesting crops in the control device, Environment. Although smart farm technology is paying attention as if it can solve everything, most of the research focuses only on increasing crop yields. This paper focuses on the development of a system architecture that can harvest high quality crops at the optimum stage rather than increase crop yields. In this paper, we have developed an architecture using apple trees as a sample and used the color information and weight information to predict the harvest time of apple trees. The simple board that collects color information and weight information and transmits it to the server side uses Arduino and adopts model-driven development (MDD) as development methodology. We have developed an architecture to provide services to PC users in the form of Web and to provide Smart Phone users with services in the form of hybrid apps. We also developed an architecture that uses beacon technology to provide orchestration information to users in real time.

IoT Data Processing Model of Smart Farm Based on Machine Learning (머신러닝 기반 스마트팜의 IoT 데이터 처리 모델)

  • Yoon-Su, Jeong
    • Advanced Industrial SCIence
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    • v.1 no.2
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    • pp.24-29
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    • 2022
  • Recently, smart farm research that applies IoT technology to various farms is being actively conducted to improve agricultural cooling power and minimize cost reduction. In particular, methods for automatically and remotely controlling environmental information data around smart farms through IoT devices are being studied. This paper proposes a processing model that can maintain an optimal growth environment by monitoring environmental information data collected from smart farms in real time based on machine learning. Since the proposed model uses machine learning technology, environmental information is grouped into multiple blockchains to enable continuous data collection through rich big data securing measures. In addition, the proposed model selectively (or binding) the collected environmental information data according to priority using weights and correlation indices. Finally, the proposed model allows us to extend the cost of processing environmental information to n-layer to a minimum so that we can process environmental information in real time.

Flow Characteristics of Injected Concentrates in Spray Booms (주입식 붐 방제기의 농약 혼합 유동특성)

  • 구영모;스티븐영;데니스쿨만
    • Journal of Biosystems Engineering
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    • v.21 no.2
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    • pp.146-154
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    • 1996
  • 농약의 직주입 혼합방식은 작업자의 안전에 기여하며 남은 농약은 용기와 함께 수거되어 재사용 되므로 환경보전 및 경제적 이점이 있다. 그러나 주입식 방제기의 분관내 농약혼합액이 노즐에 이르는 시간까지의 유동특성인 지연시간은 농약 살포량에 오차를 유발한다. 본 연구는 이 지연시간이 미치는 실제 살포오차의 정도를 파악하려 시뮬레이션을 행하였다. 시뮬레이션의 결과에 의하면 오차는 상당히 심각한 것으로 판단되었으며 지연시간을 단축하려는 여러 방법을 검토하였다. 분관의 직경을 줄여 유동속도를 빠르게 하거나, 혼입 농약의 양을 일정하게 유지하며 방제속도를 가능한 목표속도에 맞추는 방법 등은 약간의 오차를 줄일 수 있을 뿐이었고, 농약을 각 노즐에 주입함으로써 오차를 최소화할 수 있으나 미소계략의 문제를 내포하였다. 따라서 농도의 변화에 따른 지연시간을 없앤 직주입 총유량 제어방식을 통하여 노즐 배출유량을 방제속도의 변이에 따라 보상하며 비례적으로 농약을 주입하여 농도를 일정하게 유지할 수 있을 것으로 판단된다.

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Reference model Analysis for Smart Farming and Livestock Farming (스마트 농축산업을 위한 기준모델 분석)

  • Kim, Dong Il;Chung, Hee Chang
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.718-720
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    • 2017
  • IT convergence with agriculture and livestock farming are expected to bring more efficiency and quality improvement in producing, distributing, consuming of agricultural products with the aid of information processing and autonomous control technologies of the IT area. In this paper, it is analyzed reference model and consider the actualized IT convergence case for agriculture and livestock, namely Smart Farming and Smart livestock Farming as a solution to cope the presented problems.

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A Plot Scale Experiment to Assess the NPS Reduction of Sediment Trap for Non-irrigated Cropland (침사구의 밭 비점오염 저감효과 평가를 위한 포장실험 연구)

  • Park, Tae-Yang;Kim, Sung-Jae;Jang, Jeong-Ryeol;Choi, Kang-Won;Kim, Sang-Min
    • Journal of agriculture & life science
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    • v.45 no.5
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    • pp.97-103
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    • 2011
  • The purpose of this study was to analyze the pollutant reduction effect for non-irrigated crop land by nonpoint source pollution control. For a field scale monitoring, 6 plots (5m width and 22m length) and 3 sediment traps were installed. At the outlet of each plot, the stage gauges were installed for runoff monitoring. For a rainfall monitoring, tipping bucket rain gage was installed within the experiment site. Through the artificial irrigation, runoff from the plots were monitored. The SS, TOC, T-N, T-P, COD, NTU of sampled water were analyzed by standard methods. The SS, TOC, T-N, T-P, COD, NTU concentration of initial runoff were 15.00, 1.54, 5.27, 0.07, 4.72, 0.45mg/L, respectively. Four hours later than the initial runoff, the concentration was changed to 1.00, 0.94, 4.06, 0.01, 0.60, 0.33 mg/L, respectively. As a result of artificial irrigation, three out of four sediment traps were filled with runoff water from the experimental plots. One sediment trap was not filled with runoff water because the artificial irrigation was not supplied for two experimental plots. The stage of sediment traps were gradually lowered. However, the water quality didn't showed a decrease trend as the stage went down because the suspended solid was not equally collected during the water sampling.

Implimentation of Smart Farm System Using the Used Smart Phone (중고 스마트폰을 활용한 스마트 팜 시스템의 구현)

  • Kwon, Sung-Gab;Kang, Shin-Chul;Tack, Han-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.11
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    • pp.1524-1530
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    • 2018
  • In this paper, we designed a product that can prevent environmental pollution, waste of resources, and leakage of foreign currency by commercializing a green IT solution by merging a used smart phone with the IoT object communication technology for the first time in the world. For the experiment of the designed system, various performance and communication condition was experimented by installing it in the actual crop cultivation facility. As a result, when a problem occurs, the alarm sound and video notification are generated by the user's smart phone, and remote control of various installed devices and data analysis in real time are possible. In this study, it is thought that the terminal management board developed for the utilization of the used smart phone can be applied to various fields such as agriculture and environment.

Actual State of Structures and Environmental Control Facilities for Tomato Greenhouses in Chungnam Region (충남지역 토마토 재배온실의 구조와 환경조절설비 실태분석)

  • Nam, Sang-Woon;Kim, Young-Shik
    • Korean Journal of Agricultural Science
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    • v.36 no.1
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    • pp.73-85
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    • 2009
  • An investigation was conducted to get the basic data for establishing structural safety and environmental management of tomato greenhouses in Chungnam region. The contents of the investigation consisted of actual state of greenhouse structures and environmental control facilities. Most of greenhouses were arch type single-span plastic houses and they had too low height for growing tomatoes. Frameworks of multi-span greenhouses were suitable, but those of single-span were mostly insufficient. Every greenhouse had thermal curtain movable or covering fixed inside the greenhouse for energy saving, and heating facilities were mostly warm air heater. Irrigation facilities were mostly drip tube and controlled by manual operation or timer. Almost all of the greenhouses didn't install high level of environmental control facilities such as ventilator, air circulation fan, $CO_2$ fertilizer, insect screen, supplemental light, and cooling device.

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