Leveraging AI for Environmental Solutions addressing Climate Change, Pollution Monitoring and Sustainable Resource Management

Abstract. Artificial Intelligence (AI) has emerged as a transformative tool in addressing critical environmental challenges, including climate change, pollution monitoring, and sustainable resource management. This review synthesizes recent advancements and applications of AI techniques in these domains, highlighting key findings and identifying future research directions. In climate science, AI has significantly enhanced the accuracy of climate models and optimized renewable energy deployment, contributing to effective mitigation strategies. For pollution monitoring, AI-driven systems offer real-time detection and analysis, surpassing traditional methods in precision and scalability. In sustainable resource management, AI optimizes agricultural practices, forest conservation, and water resource allocation, promoting efficiency and sustainability. Despite these promising advancements, challenges such as data quality, model interpretability, integration with existing systems, and ethical considerations remain.

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Publication Details

Journal
Materials research proceedings
Published
2025-02-12
DOI
https://doi.org/10.21741/9781644903414-97
Citations
2
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
1.60
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article

Leveraging AI for Environmental Solutions addressing Climate Change, Pollution Monitoring and Sustainable Resource Management

Nazia Akbar
2 citations
Materials research proceedings
Air Quality Monitoring and Forecasting
1.60
article

Leveraging AI for Environmental Solutions addressing Climate Change, Pollution Monitoring and Sustainable Resource Management

Nazia Akbar
article en
2 citations

Abstract

Abstract. Artificial Intelligence (AI) has emerged as a transformative tool in addressing critical environmental challenges, including climate change, pollution monitoring, and sustainable resource management. This review synthesizes recent advancements and applications of AI techniques in these domains, highlighting key findings and identifying future research directions. In climate science, AI has significantly enhanced the accuracy of climate models and optimized renewable energy deployment, contributing to effective mitigation strategies. For pollution monitoring, AI-driven systems offer real-time detection and analysis, surpassing traditional methods in precision and scalability. In sustainable resource management, AI optimizes agricultural practices, forest conservation, and water resource allocation, promoting efficiency and sustainability. Despite these promising advancements, challenges such as data quality, model interpretability, integration with existing systems, and ethical considerations remain.

Materials research proceedingsVol. 48
Prince Mohammad bin Fahd University (SA)
Openalex Percentile: Top 20%
Air Quality Monitoring and Forecasting
1.60
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Leveraging AI for Environmental Solutions addressing Climate Change, Pollution Monitoring and Sustainable Resource Management — Nazia Akbar · Materials research proceedings (2025) | TGRS Research Map | TGRS