IoT-Enabled Environmental Monitoring System Using AI

Abstract

In light of the expansion of Internet of Things (IoT) bias, there is a great opportunity to improve environmental monitoring skills across a variety of fields, including but not limited to husbandry, civic planning, and artificial safety. The incorporation of artificial intelligence methods, such as machine literacy algorithms and deep literacy models, makes it possible to do real-time analysis and interpretation of environmental data that is gathered by Internet of Things cameras. This paper examines the approaches and technologies that are currently being utilized in Internet of Things (IoT)-based environmental monitoring systems. The focus is placed on the role that artificial intelligence plays in the process of perfecting data quality, predictive analytics, and decision-making procedures. Case studies and experimental findings illustrate the efficiency of the system in detecting and forecasting changes in the environment, which makes it easier to implement imaginative actions for environmental conservation and operation. It is important to note that the findings highlight the potentially disruptive outcome of merging Internet of Things (IoT) and artificial intelligence (AI) technologies to address urgent environmental concerns and pave the way for sustainable development enterprise.