Developing a Sustainable IoT-based Smart Weather Station for Real Time Weather Monitoring and Forecasting

Abstract

Weather forecasting is an important aspect of many industries and activities, from agriculture to transportation. The main motive of this research is to design a sustainable smart weather station to track temperature, humidity, wind speed, and other weather parameters, and send the data to the IOTA network via a Wi-Fi module. The GISMO micro controller provides the necessary processing power to collect and store data, while the Wi-Fi module allows for real-time monitoring and remote access to the data. The data collected by the smart weather station can be used for weather forecasting, climate research, and disaster management. The proposed model is used to develop the accurate weather information in real-time, making it an ideal solution for individuals and organizations looking to monitor local weather conditions. By leveraging IoT technology, smart weather stations offer numerous advantages over traditional weather monitoring systems. The research mainly focuses to enable seamless data collection from multiple sensors placed strategically in various locations, providing a comprehensive view of weather conditions across different areas.