CORRECTION article

Front. Soil Sci., 12 August 2025

Sec. Soil Pollution & Remediation

Volume 5 - 2025 | https://doi.org/10.3389/fsoil.2025.1659154

Correction: A systematic review on machine learning-aided design of engineered biochar for soil and water contaminant removal

  • 1. Guangxi Key Laboratory of Calcium Carbonate Resources Comprehensive Utilization, College of Materials and Chemical Engineering, Hezhou University, Hezhou, China

  • 2. College of Environmental Science and Engineering, Guilin University of Technology, Guilin, China

  • 3. College of Chemical Engineering, Huaqiao University, Xiamen, China

  • 4. Department of Chemistry, College of Science, King Khalid University, Abha, Saudi Arabia

  • 5. Research Center for Advanced Materials Science (RCAMS), King Khalid University, Abha, Saudi Arabia

  • 6. School of Environmental Science and Engineering, Hainan University, Haikou, China

  • 7. Department of Environmental Science, Zhejiang University, Hangzhou, Zhejiang, China

  • 8. Innovation Center of Yangtze River Delta, Zhejiang University, Jiashan, China

An incorrect Funding statement was provided. The correct Funding statement reads:

“The authors extend their appreciation to the Deanship of Research and Graduate Studies at King Khalid University for funding this work through Large Research Project under grant number RGP2/475/46.”

The original version of this article has been updated.

Statements

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Summary

Keywords

machine learning (ML), engineered biochar, environmental remediation, adsorption, contaminants

Citation

Ge Y, Ying K, Yu G, Ali MU, Idris AM, Shahab A and Ullah H (2025) Correction: A systematic review on machine learning-aided design of engineered biochar for soil and water contaminant removal. Front. Soil Sci. 5:1659154. doi: 10.3389/fsoil.2025.1659154

Received

03 July 2025

Accepted

01 August 2025

Published

12 August 2025

Approved by

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Volume

5 - 2025

Updates

Copyright

*Correspondence: Habib Ullah,

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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