CORRECTION article
Front. Soil Sci.
Sec. Soil Pollution & Remediation
Volume 5 - 2025 | doi: 10.3389/fsoil.2025.1659154
A systematic review on machinelearning-aided design ofengineered biochar for soil andwater contaminant removal
Provisionally accepted
- 1Hezhou University, Hezhou, China
- 2Guilin University of Technology, Guilin, China
- 3Huaqiao University, Quanzhou, China
- 4King Khalid University, Abha, Saudi Arabia
- 5Hainan Normal University, Haikou, China
- 6Zhejiang University, Hangzhou, China
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Keywords: machine learning (ML), Engineered biochar, Environmental Remediation, Adsorp tion, contaminants
Received: 03 Jul 2025; Accepted: 01 Aug 2025.
Copyright: © 2025 Ge, Ying, Yu, Ali, Idris, Shahab and Ullah. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Habib Ullah, Zhejiang University, Hangzhou, China
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.