Artificial Intelligence Models as a Tool for Environmental Monitoring: Review and Analysis
The application of artificial intelligence (AI) for environmental monitoring enables accurate forecasts of natural disasters, identification of pollution sources, and comprehensive monitoring of air and water quality. This article provides an overview of the challenges associated with monitoring using traditional methods, as well as the potential for implementing AI-based solutions. The article discusses several models that apply artificial intelligence in the implementation of environmental monitoring, demonstrating case studies of environmental research. However, realizing the full potential of AI faces obstacles such as the lack of specialized AI experts in the environmental sector and the problem of data access, control and privacy. The above challenges are more acute in regions with developing technological infrastructure.
Authors
- Saida K. Kuizheva (ORCID: https://orcid.org/0000-0002-3182-0672)
- Vitaly Dovgal (ORCID: https://orcid.org/0000-0003-4181-8776)
Institutions
- Maikop State Technological University (RU)
Publication Details
- Journal
- Rossijskij žurnal nauk o zemle/Russian journal of earth sciences
- Published
- 2025-11-14
- DOI
- https://doi.org/10.2205/2025es001070
- Primary Topic
- Air Quality Monitoring and Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.00