IoT Based Predictive Model for Cloud Seeding

Weather prediction is an attempt to predict the conditions of weather in the near future and what should be expected from the weather. The parameters which determine the conditions are temperature, humidity, wind.We will consider temperature and humidity to predict the future weather conditions. The data will be collected from DHT11 sensor and FC-37, they are low-cost sensors which are used to collect temperature, humidity and rain values. The sensors installed on the raspberry pi collects the data and stores it in the pi. The data is stored in the form of CSV file which is used for analyzing the data further. R is used to do analysis on the data collected. R is a very effective language and software for analyzing data and comes with many inbuilt functionalities for statistical data analysis. The motive is to find situations in which drought could occur and generate artificial clouds over the place for temporary relief.