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학술지 IoT-Based Strawberry Disease Prediction System for Smart Farming
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저자
김세한, 이명훈, 신창선
발행일
201811
출처
Sensors, v.18 no.11, pp.1-17
ISSN
1424-8220
출판사
MDPI AG
DOI
https://dx.doi.org/10.3390/s18114051
협약과제
18HH3200, 스마트팜 확산을 위한 클라우드 기반 스마트베드 시스템 및 Farm-As-A-Service 기술 개발, 김세한
초록
Crop diseases cannot be accurately predicted by merely analyzing individual disease causes. Only through construction of a comprehensive analysis system can users be provided with predictions of highly probable diseases. In this study, cloud-based technology capable of handling the collection, analysis, and prediction of agricultural environment information in one common platform was developed. The proposed Farm as a Service (FaaS) integrated system supports high-level application services by operating and monitoring farms as well as managing associated devices, data, and models. This system registers, connects, and manages Internet of Things (IoT) devices and analyzes environmental and growth information. In addition, the IoT-Hub network model was constructed in this study. This model supports efficient data transfer for each IoT device as well as communication for non-standard products, and exhibits high communication reliability even in poor communication environments. Thus, IoT-Hub ensures the stability of technology specialized for agricultural environments. The integrated agriculture-specialized FaaS system implements specific systems at different levels. The proposed system was verified through design and analysis of a strawberry infection prediction system, which was compared with other infection models.
키워드
Infection forecast model, Iot, Lora, Onem2m, Prediction, Smart farming
KSP 제안 키워드
Agricultural environment, Cloud-based technology, Communication reliability, Data transfer, Disease prediction, Environment information, Forecast model, Growth information, Integrated system, Internet of thing(IoT), IoT Devices
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