An effective Web System for Weather monitoring using Artificial Neural Network Based on Internet of Things and Cloud Computing
Ebtehal Akeel Hamed1, Nahla Ibraheem Jabbar2, Zaid Th Hassan3, Refed Adnan Jaleel4,5,*
1Al Qasim Green University, Babylon, Iraq
2Babylon University, Collage of engineering, Babylon, Iraq
3Reconstruction and Projects Department, University of Baghdad, Baghdad, Iraq
4 Info. & Comm. Engineering, Al-Nahrain University, Baghdad, Iraq
5 Commission of Care for Persons with Disabilities and Special Needs, Ministry of Labor and Social Affairs, Baghdad, Iraq
Emails: ebtehal82@uoqasim.edu.iq, eng.nahla.ibraheem@uobabylon.edu.iq, iraq_it_2010@yahoo.com, iraq_it_2010@yahoo.com
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Abstract
This research presents an effective web system for weather monitoring based on the Internet of Things (IoT) and cloud computing. The three primary parts of the system are an online application, a cloud platform, and Internet of Things-based weather stations. Periodically, IoT-based weather stations gather meteorological data and send it to a cloud platform. The ANN model can access the meteorological data that is stored in a database by the cloud platform. ANN model utilizes the meteorological data to produce predictions for several weather factors. The web application gives users access to real-time weather data and forecasts.
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Keywords: Weather monitoring; IoT, Cloud computing; Artificial neural network; Web application