Artificial intelligence in environmental monitoring: Advancements, challenges, and future directions
York St John University · University of East London · +6 more institutions
Abstract
• AI-driven pollution detection enhances environmental protection. • Real-time monitoring facilitates prompt interventions for pollution prevention. • Accurate air quality forecasting aids in planning pollution-reducing activities. • AI's role in smart cities fosters sustainable urban development. • AI algorithms integrate diverse data sources for pollution detection. The application of Artificial Intelligence (AI) in environmental monitoring offers accurate disaster forecasts, pollution source detection, and comprehensive air and water quality monitoring. This article provides an overview of the value of environmental monitoring, the challenges of conventional methods, and potential AI-based solutions.…
Citation impact
- FWCI
- 43.18
- Percentile
- 100%
- References
- 254
Authors
6Topics & keywords
- Environmental monitoring
- Computer science
- Data science
- Environmental resource management
- Environmental science
- Environmental planning
- Environmental engineering