An Iot Based Framework For Prediction Of Enviornment Quality Using Artificial Intelligence
Omar Alqahtani, Pravin Ramdas Kshirsagar · 2024
Environmental phenomena affect our everyday life greatly. This included flexible structures the resources of life, including the pure water and air of our planet. The word climate is characterized as a platform that provides numerous facilities for several atmospheric applications in the areas of water allocation, poor air quality, meteorological conditions, radioactive detection, wastewater treatment, catastrophic event as well as many other predisposing factors. Monitoring system, modeling and management provide a better knowledge of key development and environmental changing management methods. Over time, the problem of emissions has increased owing to a number of reasons, such as increasing population and usage of cars, urban development, which has a significant impact on workers’ health. This article proposes AI and IoT for the predictions and modeling of the environmental quality assessment system. The Artificial Intelligence method can evaluate data extremely efficiently and take accurate choices on services in many kinds. The IoT gateway includes the entire application software from sensor level to environmental information systems. The test data suggest that the new approach offers an efficient means of analyzing environmental information over a lengthy period of time.