aceArtificial intelligence in environmental monitoring: Advancements, challenges, and future directions
• 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 co…
AI enables real-time pollution detection, air and water quality monitoring, and accurate disaster and air quality forecasting to support prompt interventions and sustainable urban management.
Full potential is limited by shortage of specialized AI experts in the environmental sector and by data access, control, and privacy challenges, which are more pronounced in regions with developing technological infrastructure.
Evidence
- Peer-reviewedHygiene and Environmental Health Advances2024-10-18
- Peer-reviewedFrontiers in Environmental Science2024-02-20
- Peer-reviewedElectronics2025-02-11
- Peer-reviewedIEEE Access2024-01-01
- Peer-reviewedExpert Systems with Applications2023-12-06
How should this claim be treated?
Truvace Impact Record TRV-2026-0341, v5: “Artificial intelligence in environmental monitoring: Advancements, challenges, and future directions.” Truvace, 2026-09-24. /record/TRV-2026-0341 (accessed at citation time). sha256 d31fa5a972530b2e…
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