Articles
| Open Access |
https://doi.org/10.37547/ajast/Volume05Issue11-26
Integration Of Artificial Intelligence In Environmental Protection Technologies
Abstract
This research explores the integration of artificial intelligence (AI) into modern environmental protection technologies. It highlights how AI-driven systems—such as machine learning, computer vision, and data analytics—enhance environmental monitoring, pollution control, waste management, and climate modeling. The paper discusses applications of AI in predicting natural disasters, optimizing energy use, and supporting sustainable resource management. Furthermore, ethical challenges, data reliability, and policy implications are examined to ensure responsible and effective deployment of AI technologies in environmental protection. The study concludes that AI has transformative potential to accelerate global sustainability efforts and improve decision-making for environmental governance.
Keywords
Artificial Intelligence (AI)Environmental Protection Machine Learning Sustainability
References
Zhang, Q., & Li, H. (2023). Artificial intelligence for sustainable environmental management. Journal of Cleaner Production, 432, 139–158.
Chen, L., et al. (2022). Deep learning approaches in air pollution forecasting. Environmental Modelling & Software, 154, 105–122.
United Nations (2024). AI and the Sustainable Development Goals: Environmental Applications. UN Reports.
Tursunova, Z., & Karimov, B. (2024). Raqamli texnologiyalar yordamida ekologik monitoring tizimlarini takomillashtirish. O‘zbekiston Ekologiya Jurnali, 6(2), 40–48.
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