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American Journal of Applied Science and Technology

Peer Reviewed | Open Access | E-ISSN: 2771-2745
Published Article

Integration Of Artificial Intelligence In Environmental Protection Technologies

Integration Of Artificial Intelligence In Environmental Protection Technologies

  • Jumaqulova Zulayho Bahodirjon kizi
    Assistant Professor of the Department of Labor Protection, Andijan State Technical Institute, Uzbekistan
Artificial Intelligence (AI)Environmental Protection Machine Learning Sustainability

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.

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.