AI-Powered Environmental Surveillance: Enhancing AIr and Water Quality Monitoring Through Real-Time Predictive Analytics

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Integration of AI and IoT improves real-time pollution detection in air and water, revolutionizing environmental surveillance.
AI algorithms and IoT frameworks support predictive analytics for ongoing monitoring of pollution levels.
Challenges like algorithmic bias and cybersecurity need addressing for effective deployment of AI systems in environmental monitoring.
Sustainability strategies may benefit from AI-powered systems, emphasizing the importance of interdisciplinary collaboration.

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Analysis reveals AI enhances real-time pollution detection in urban settings, indicating improved environmental management.

Gamit et al. (2024) studied this question.

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