Comprehensive Study of Weather Prediction Using IoT and Machine Learning

The combination of the Internet of Things (IoT) and machine learning (ML) is becoming increasingly popular and has the potential to revolutionize various aspects of our daily existence, including weather prediction. Accurate weather predictions play a crucial role in agriculture, transportation, emergency response, and energy consumption. The traditional methods of weather prediction, such as manual observations and numerical weather prediction models, are being supplemented with the use of IoT devices and ML algorithms. This research paper seeks to investigate the use of IoT and ML in weather prediction and demonstrate their potential to provide accurate and cost-effective forecasts. The study will evaluate various weather prediction methods, including manual observations, numerical models, and IoT and ML algorithms. The varieties of sensors and weather stations that can be used to collect meteorological data and the various ML algorithms that can be utilized will also be investigated. The aim is to develop a cost-effective and accessible solution for individuals and communities and evaluate the accuracy of the predictions. The results of this study will demonstrate the capability of IoT and ML to provide accurate weather forecasts and will contribute to the development of new and innovative solutions in this field.