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http://dx.doi.org/10.9723/jksiis.2021.26.1.021

Development of Microclimate-based Smart farm Predictive Platform for Intelligent Agricultural Services  

Moon, Aekyung (한국전자통신연구원 지역산업IT융합연구실)
Lee, Eunryung (한국전자통신연구원 의료IT융합연구실)
Kim, Seunghan (경상북도농업기술원 풍기인삼연구소)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.26, no.1, 2021 , pp. 21-29 More about this Journal
Abstract
The emerging smart world based on IoT requires deployment of a large number of diverse sensors to generate data pertaining to different applications. Recent years have witnessed a plethora of IoT solutions beneficial to various application domains, IoT techniques also help boost agricultural productivity by increasing crop yields and reducing losses. This paper presents a predictive IoT smart farm platform for forcast services. We built an online agricultural forecasting service that collects microclimate data from weather stations in real-time. To demonstrate effectiveness of our proposed system, we designed a frost and pest forecasting modes on the microclimate data collected from weather stations, notifies the possibilities of frost, and sends pest forecast messages to farmers using push services so that they can protect crops against damages. It is expected to provide effectively that more precise climate forecasts thus could potentially precision agricultural services to reduce crop damages and unnecessary costs, such as the use of non-essential pesticides.
Keywords
Microclimate; frost and pest forecast; Agriculture ICT; Smart farm;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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