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Kafe 바로가기주관연구기관 | 국립원예특작과학원 National Institute of Horticultural and Herbal Science |
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연구책임자 | 김광진 |
참여연구자 | 김찬중 , 김현주 , 유수진 , 윤형권 , 정나라 , 한승원 , 김호현 , 곽민정 , 양호형 , 이정훈 , 고수진 , 김동영 , 김학재 , 김형주 , 김지은 , 박새롬 , 송학진 , 양윤정 , 이은빈 |
보고서유형 | 최종보고서 |
발행국가 | 대한민국 |
언어 | 한국어 |
발행년월 | 2020-02 |
과제시작연도 | 2019 |
주관부처 | 농촌진흥청 Rural Development Administration(RDA) |
등록번호 | TRKO202000030208 |
과제고유번호 | 1395061515 |
사업명 | 농업정책지원기술개발사업(R&D) |
DB 구축일자 | 2020-10-17 |
키워드 | 사물인터넷.실내식물.실내공기질.근권미생물.전자화분.IoT.IAQ.Microorganism.e-plant. |
○ IoT 기반 스마트 센서를 활용하여 실내공기질 측정 빅데이터 플랫폼 구축 : 소비자용 앱 개발
○ IoT기반 실내정원용 그린지수(Green Index) 개발 및 특허 출원
○ IoT 기반 실내 식물군 효과 및 건강-편익 분석
○ 식물의 상태 (정상, 고사상태)에 따른 전기화학 신호 측정 및 비교 분석
○ 다양한 식물의 생장 환경변화 (빛, 온도, 비료, 급수 등)에 따른 전기화학 신호 변화 확인
○ 식물의 상태에 따른 근권부 미생물의 차이 확인 및 전기화학적 활성 미생물의 분리 동정
○ 식물 근권
○ IoT 기반 스마트 센서를 활용하여 실내공기질 측정 빅데이터 플랫폼 구축 : 소비자용 앱 개발
○ IoT기반 실내정원용 그린지수(Green Index) 개발 및 특허 출원
○ IoT 기반 실내 식물군 효과 및 건강-편익 분석
○ 식물의 상태 (정상, 고사상태)에 따른 전기화학 신호 측정 및 비교 분석
○ 다양한 식물의 생장 환경변화 (빛, 온도, 비료, 급수 등)에 따른 전기화학 신호 변화 확인
○ 식물의 상태에 따른 근권부 미생물의 차이 확인 및 전기화학적 활성 미생물의 분리 동정
○ 식물 근권부 전기화학 신호를 시각, 청각적으로 출력하는 장치 개발
(출처 : 요약서 3p)
□ Purpose&Contents
○ To provide information to urban plant growers on the best light, temperature and water content requirement for indoor plants.
○ Industrialization and urbanization have increased demand for continuous maintenance technology development with interest in horticulture in urban
□ Purpose&Contents
○ To provide information to urban plant growers on the best light, temperature and water content requirement for indoor plants.
○ Industrialization and urbanization have increased demand for continuous maintenance technology development with interest in horticulture in urban life.
○ Development of IoT-based smart garden management system is required due to the development of the Internet of Things
○ Through sensing-based monitoring, the company aims to develop integrated indoor garden IoT solutions to ensure objectivity in the effectiveness of indoor environmental control by applying plants, and to enable the re-employed to clearly recognize the effect of reducing indoor air quality and to provide efficient health care.
○ A big data platform is developed through IoT-based smart sensing equipment and indoor garden installation, and data collected through comparison and analysis to develop green index for indoor garden to assess its applicability.
○ Development of maintenance technology for indoor garden based on Internet of Things(IoT)
○ Measurement of electrical signals between plant and rhizobacteria according to growth conditions and applicationof an IoT technology.
□ Results
○ Seven (7) levels of light intensity resulted from the determination of the Vmax/2 and Km. Level 1 refers to value more than the Km, Level 2 ranged from Km(½)1 to the Km value, and the subsequent levels were determined by using the formula: level=Km(½)n; wheren refers to subsequent levels (i.e. n2 = level 3, n3 = level 4…7). The best is level 1 while the least is level 7. The ETR of 93 indoor plant species were determined and Vmax and Km values of each plant were calculated.
○ The data generated from this study can be utilized in IoT to make the information on plant cultivation and environmental conditions accessible to urban growers who use smart phones.
○ Building a big data platform for measuring indoor air quality by utilizing IoT-based smart sensors
○ Analysis of indoor air quality by applying indoor garden through big data analysis collected through built big data platform
○ Preparation and implementation of the final big data platform(proposal) through analysis of data by indoor air quality item (DB-linked
○ Development of Green Index (Green Index) for IoT-based indoor garden and patent application
○ Development of an integrated solution for custom air purification indoor plant group
○ IoT-based indoor plant group effect and health-benefit analysis
○ Implementation of the IoT-based smart IAQ display application for indoor garden
○ Providing information on farming techniques for the developed green index
○ Determine the plant health monitoring method using Plant Microbial Fuel Cell system
○ Analysis of the electrochemical signals from rhizosphere following the plant condition (live or dead)
○ Analysis of the electrochemical signals according to the difference of plant growth conditions (light intensity, temperature, fertilization, water supply)
○ Comparative analysis of the electrochemical signals depending on the kind of plant species
○ Measurement and analysis of the electrochemical signals from plants in the event of changes the two growth conditions
○ Identification of differences in rhizobacteria according to plant conditions and the isolation of electrochemical active microorganisms
○ Develop the small device to measuring same electrochemical signal compare with previous device
○ Development of a device that visually and auditory outputs the rhizosphere electrochemical signals
○ Development of an app to check plant conditions by providing electrochemical signals wirelessly
□ Expected Contribution
○ Increased convenience of consumers by applying IT technology to indoor plant management
○ Indoor air quality can be clearly checked by indoor garden
○ Effect of sensor-based IAQ monitoring IoT infrastructure establishment and public utilization
○ Development of smart plant management technology using electrochemical signal measurement
○ Identification of plant conditions based on electrochemical signals from plant-rhizosphere using this system
○ Inexpensive and accurate sensing technology enables the application of a wide area of plant cultivation facilities
○ It can be used as an significant technology factor in smart farming
○ Effective plant cultivation by identifying plant culture characteristics
○ Utilizing long-term and effectual management technique of indoor plants
○ Use this technology as smart plant factories management technology
(출처 : SUMMARY 6p)
과제명(ProjectTitle) : | - |
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연구책임자(Manager) : | - |
과제기간(DetailSeriesProject) : | - |
총연구비 (DetailSeriesProject) : | - |
키워드(keyword) : | - |
과제수행기간(LeadAgency) : | - |
연구목표(Goal) : | - |
연구내용(Abstract) : | - |
기대효과(Effect) : | - |
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