Controlling Weather Dependent Tasks Using Random Forest Algorithm

A variety of tasks and works are depend directly or indirectly on the weather conditions. Sectors like agricultural sectors and industrial sectors are principally dependent on weather conditions. Weather conditions are also used to warn about natural disasters. These are the reasons that an accurate weather forecast is required to control the tasks dependent on the weather or to make decisions for these tasks according the weather forecast. The prediction of the weather using the right values of weather parameters is known as weather forecast. In this paper dataset for weather is taken for the training process and then random forest algorithm is used to predict the weather conditions to control different tasks which are dependent on these weather conditions directly or indirectly. The weather parameters used are temperature, pressure and humidity and the tasks which are taken in this study are irrigation, heath outcomes related to temperature and humidity. A hardware setup is used which works as a live weather station which sends the weather data on cloud platform.