Artificial intelligence in environmental research: bibliometric, text mining and content analysis

Artificial intelligence in environmental research: bibliometric, text mining and content analysis

Abstract Artificial intelligence (AI) is increasingly being used today to provide solutions to many environmental problems. This is because of AI’s capability over empirical measurement and conventional computational techniques. This work therefore aim to review publications on AI applications in en...

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Bibliographic Details
Main Authors: Chukwuebuka C. Okafor, Festus A. Otunomo, Valentine E. Nnadi, Chinelo A. Nzekwe, Adaobi V. Nwoye, Charles C. Ajaero
Format: Article
Language:English
Published: Springer 2025-06-01
Series:Discover Artificial Intelligence
Subjects:
Artificial intelligence
Environmental research
Machine learning
Decision-support system
Sustainability transitions
Pollution monitoring
Online Access:https://doi.org/10.1007/s44163-025-00289-7
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https://doi.org/10.1007/s44163-025-00289-7

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