Development of IoT Based Weather Reporting System

Weather reporting is important in our daily lives because it provides vital information that allows us to make informed decisions about how to plan our activities and protect ourselves from potential hazards. It is also important in agriculture, where weather conditions like temperature, rainfall, and humidity can have a big impact on crop yields and harvests. In this project, a hardware module comprising of ESP-32 controller and sensors is developed to capture the various weather parameters and to upload these parameters to the cloud database MYSQL. Weather parameters over past 21 years are also collected from the source Data Access Viewer (DAV) website. The cloud database comprising of the historical data from 1st January 2001 to 1st January 2022 is created. This database is updated periodically with the sensor data captured using hardware module in real time on hourly basis. Machine learning algorithms are implemented to predict the weather parameters for the duration specified by the users. Also possible crops that can be grown is suggested. HTML web page with user interface is created for collecting user queries, to display predicted weather parameters and also to suggest the crops that could be cultivated in the region.