IOT BASED WEATHER FORECASTING SYSTEM USING RASPBERRY PI

The rapid development of the Internet of Things (IoT) has enabled real-time monitoring and data collection across various domains, including environmental and weather monitoring. An IoT-based weather forecasting system uses interconnected sensors and devices to collect atmospheric data such as temperature, humidity, pressure, and gas levels, and transmits this data over the internet for analysis and prediction. In this system, the Raspberry Pi acts as the central processing unit due to its low cost, compact size, and ability to interface with multiple sensors. It collects data from various environmental sensors such as temperature sensors, humidity sensors, and pressure sensors, and processes this data locally or sends it to cloud platforms for further analysis. The system continuously monitors weather conditions and provides real-time updates through web applications or mobile interfaces. This helps in improving forecasting accuracy, especially in localized areas where traditional weather stations may not be available. Additionally, IoT-based systems can be easily scaled and deployed in remote areas, making them highly efficient for smart agriculture, disaster management.