Artificial Intelligence-Driven Analytics for Monitoring and Mitigating Climate Change Impacts

Artificial intelligence (AI) and big data analytics are transforming the fight against climate change by enabling advanced monitoring, predictive modeling, and actionable insights. This study aims to examine how AI-driven analytics enhance the understanding of climate systems, support mitigation strategies, and inform policy decisions. By processing vast datasets from satellites, sensors, and climate models, AI algorithms identify patterns, predict extreme weather events, and quantify the impacts of human activities on ecosystems. Applications, such as real-time greenhouse gas monitoring, precision agriculture, and energy optimization, showcase AI’s potential to reduce emissions and enhance sustainability. Challenges, including data gaps, algorithmic biases, and ethical considerations, must be addressed to fully realize AI’s transformative potential. AI and big data contribute to the accelerating global efforts to mitigate climate change and build resilience against its adverse effects.

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Published
2025-08-29
DOI
https://doi.org/10.3390/engproc2025108007
Citations
1
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.80
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article

Artificial Intelligence-Driven Analytics for Monitoring and Mitigating Climate Change Impacts

Wai Yie Leong
1 citations
Air Quality Monitoring and Forecasting
0.80
article

Artificial Intelligence-Driven Analytics for Monitoring and Mitigating Climate Change Impacts

Wai Yie Leong
article en
1 citations

Abstract

Artificial intelligence (AI) and big data analytics are transforming the fight against climate change by enabling advanced monitoring, predictive modeling, and actionable insights. This study aims to examine how AI-driven analytics enhance the understanding of climate systems, support mitigation strategies, and inform policy decisions. By processing vast datasets from satellites, sensors, and climate models, AI algorithms identify patterns, predict extreme weather events, and quantify the impacts of human activities on ecosystems. Applications, such as real-time greenhouse gas monitoring, precision agriculture, and energy optimization, showcase AI’s potential to reduce emissions and enhance sustainability. Challenges, including data gaps, algorithmic biases, and ethical considerations, must be addressed to fully realize AI’s transformative potential. AI and big data contribute to the accelerating global efforts to mitigate climate change and build resilience against its adverse effects.

INTI International University (MY)
Openalex Percentile: Top 25%
Air Quality Monitoring and Forecasting
0.80
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