Artificial Neural Network (ANN) Enabled Weather Monitoring and Prediction System using IoT

Abstract

This article proposes a weather monitoring and prediction system using ANN with Internet of things (IoT) for the diverse applications. Neural networks provide an ability to perform computation and learning. Neural networks can solve difficult problems that appear to be computationally interact. The output neurons are responsible for producing a function of the inputs from the input neurons and their previous outputs. The proposed system is developed based on IoT using ES P32 microcontroller by interfacing different sensors to take the input parameters. All the acquired sensor information can be visualized in the ThingSpeak cloud as well as in the mobile application. Once the data is acquired from the sensors it is processed by the system with the available data set and gives the output, that can be seen on the cloud, text message, and mail to the end user. As the proof of concepts, it is tested in different weather conditions.