Climatic Variable Assessment in a Smart Sensory Enabled Setting

This research paper focuses on the use of smart and intelligent environment technology to monitor climatic conditions and their impact on the environment. It explores the various applications of smart environmental monitoring systems in weather forecasting, air quality monitoring, agriculture, and disaster response. It emphasizes the advantages of using different sensors, clouds, communication devices, etc. to collect real-time data on temperature, humidity, air pressure, wind speed and direction, pollution, and harmful gases. This research paper reminds us of how important it is to use technology for environment monitoring and decision-making toward sustainable living; with the help of smart systems, we can better take proactive measures to protect our planet. Overall, this research paper talks about how using smart technology to monitor our environment can help us understand and improve the conditions. It provides information about air quality, natural disasters, agriculture, and weather patterns. The implementation performed shows that the XGBoost model generates the best performance with a 94.7% accuracy rate. This knowledge helps understanding and monitoring through smart systems for sustainable future.