Our planet is under environmental threats on an unprecedented level: climate change, pollution, loss of biodiversity and ecosystem degradation. Much older methods of environmental monitoring aim to fail in flexibility, promptness, and significance. This paper presents the idea of the so-called Digital Guardian, an interactive technical system based on Artificial Intelligence (AI), the Internet of Things (IoT), and Wireless sensor networks (WSNs), which imply a fresh concept in environmental protection. All these technologies contribute to the monitoring around the clock, making decisions in real-time, and prediction in various environmental conditions, including the quality of the air and water, the detection of disaster, maintaining forests and predicting the impacts of climate changes. This paper seeks to discuss usability, application-ability, and transformational aspect of AI, IoT, and sensor networks in transforming environmental governance. The paper consists of a theoretical framework, real-world case studies and critical benefits and limitations evaluation described together with the mixed-methods approach. It highlights how intelligent technologies advance the quality of data gathering on the environment, shorten reaction time, and make ecological data more democratic. Yet, it discusses such barriers as infrastructural gaps, issues of data security, and surveillance and AI bias ethical dilemmas. According to the paper, the final recommendation points out ideas on future integration, which include edge computing, data integrity with blockchain, and citizen science programs. As the world experiences mounting pressure on its environmental front, the Digital Guardian comes through as a potent technology-induced solution to sustainable environmental management in the present day and age.
Shara et al. (Thu,) studied this question.