Solar Powered IoT based Environment Monitoring System

In an era marked by rapid evolution, the importance of effective environmental monitoring and precise weather prediction cannot be overstated. This paper introduces an independent robotic solution engineered to observe vital environmental metrics such as temperature, humidity, air quality, and levels of harmful gases. The robotic system is constructed around an Arduino, consolidating all sensors for monitoring environmental conditions. It seamlessly incorporates LoRa (Long-Range) technology for seamless real-time data transmission. Furthermore, random forest machine learning algorithms have been deployed to predict current weather conditions like sunny, cloudy, and rainy. Primary idea guiding the incorporation of renewable energy is to address the energy gap in rural areas without access to conventional power sources.