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        ICT 기반 환경모니터링 센서 데이터 검증을 위한 원스탑 플랫폼

        채민아,조재혁,Chae, Minah,Cho, Jae Hyuk ICT플랫폼학회 2021 JOURNAL OF PLATFORM TECHNOLOGY Vol.9 No.1

        기존 환경측정기기는 전자파 및 친환경 제품 인증, 내구성 시험 위주이며, 센서 신뢰성 검증 및 측정 데이터에 대한 검증은 형식 승인 및 등록, 인수시험, 초기교정, 주기시험 등을 통해 센서 성능평가 위주로 수행된다. 본 플랫폼은 각 타겟 센서별 성능평가 뿐만 아니라 센서의 데이터 신뢰성에 대한 검증체계 지원 ICT 기반 환경 모니터링 센서 신뢰성 검증 체계를 구축하였다. 환경 정보에 대한 센서 데이터를 수집할 센서보드를 제작하였고 센서 및 데이터 신뢰성 평가 및 검증 서비스 체계를 규격화 하였다. 또한, ICT 기반 센서 데이터 신뢰성 평가 및 검증을 위해 LoRa 통신을 이용한 센서 데이터 플랫폼 모니터링 프로토타입을 제작하였고 이를 스마트 시티 등에 실증 테스트하였다. 해당 시스템을 통해 받은 데이터 분석을 위해 머신러닝을 이용하여 최적화 알고리즘 개발하였다. 이를 통해 신뢰성 검증을 위한 센서 빅데이터 분석시스템을 구축하였고 통합 평가 및 검증 시스템의 기반을 마련하였다. Existing environmental measuring devices mainly focus on electromagnetic wave and eco-friendly product certification and durability test, and sensor reliability verification and verification of measurement data are conducted mainly through sensor performance evaluation through type approval and registration, acceptance test, initial calibration, and periodic test. This platform has established an ICT-based environmental monitoring sensor reliability verification system that supports not only performance evaluation for each target sensor, but also a verification system for sensor data reliability. A sensor board to collect sensor data for environmental information was produced, and a sensor and data reliability evaluation and verification service system was standardized. In addition, to evaluate and verify the reliability of sensor data based on ICT, a sensor data platform monitoring prototype using LoRa communication was produced, and the test was conducted in smart cities. To analyze the data received through the system, an optimization algorithm was developed using machine learning. Through this, a sensor big data analysis system is established for reliability verification, and the foundation for an integrated evaluation and verification system is provide.

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      • 메밀의 생육단계별 작물계수(Kc) 결정을 위한 예비 시험

        오광스티븐 ( Stephen Okwang ),박현수 ( Hyunsu Park ),장태일 ( Taeil Jang ) 한국농공학회 2023 한국농공학회 학술대회초록집 Vol.2023 No.0

        Buckwheat holds considerable agricultural importance in the Republic of Korea for its nutritional value and diverse culinary applications. Due to climate change and abnormal weather conditions, uncertainty in crop cultivation, including buckwheat, has increased, resulting in seasonal variations in water use and difficulties in crop production and water management. According to the Rural Development Administration (RDA), accurate measurement of water consumption and research on crop water use in field crops is crucial for properly planning and managing rural water resources. In this study, three weighing lysimeters were used to measure and quantify the actual evapotranspiration (ETc) of buckwheat under sprinkler irrigation. The study was conducted at Jeonbuk Gochang-gun Academy Farm, where the farm primarily grows barley and buckwheat as double crops. The study area was divided into three subplots, each equipped with a lysimeter for data collection. Real-time data collection was accomplished through ICT-based soil moisture sensors in each plot, enabling comprehensive soil and crop growth investigation. Additionally, other seasonal plant parameters such as crop height, Leaf Area Index (LAI), crop weight, and yield were closely monitored per growth stage, followed by data analysis. The lysimeter ETc was computed daily as a function of inputs and outputs using a water balance equation. The collected ETc data was integrated with weather data-derived Reference Evapotranspiration (ETo), determined using the Penman-Monteith equation, to calculate Buckwheat's growth-stage-specific crop coefficients (Kc) using the formula; Kc = ETc/ETo. The daily Kc values were then fitted against days after planting to create Kc regression models, which will be instrumental in the development of Mobile service technology.

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