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Parallel Processing Implementation on Weather Monitoring System for Agriculture
2017
Indonesian Journal of Electrical Engineering and Computer Science
<p>Weather monitoring and forecasting are very important in agricultural sectors. There are several data need to be collected in real-time to support weather monitoring and forecasting systems, such as temperature, humidity, air pressure, wind speed, wind direction, and rainfall. The purpose of this research to develop a real-time weather monitoring system using a parallel computation approach and analyze the computational performance (i.e., speed up and efficiency) using the ARIMA model. The
doi:10.11591/ijeecs.v6.i3.pp682-687
fatcat:ech3fswi65ef7dlztmqgzr33ym