Real Time Temperature Prediction Using IoT

Abstract

Accurate temperature predictions play a crucial role on planning our day-to-day tasks. Farmers need information about the weather condition in order to get ready for planting as well as harvesting of their yields. This study is done to make an endeavor to predict accurate temperature by utilizing potential deep learning approach; Long Term Memory (LSTM). DHT11 digital temperature and humidity sensor were used to gather real time data for undertaking the experiment. For the contextual investigation, the prediction of the temperature in different places of Vadodara is considered.