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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

This article is a correction to:

  1. A Systematic Review on Machine Learning-Aided Design of Engineered Biochar for Soil and Water Contaminant Removal

    1. Read original article
Yunpeng GeYunpeng Ge1Kaiyang YingKaiyang Ying2Guo YuGuo Yu2Muhammad Ubaid AliMuhammad Ubaid Ali3Abubakr M. Idris,Abubakr M. Idris4,5Asfandyar ShahabAsfandyar Shahab6Habib Ullah,*Habib Ullah7,8*
  • 1Guangxi Key Laboratory of Calcium Carbonate Resources Comprehensive Utilization, College of Materials and Chemical Engineering, Hezhou University, Hezhou, China
  • 2College of Environmental Science and Engineering, Guilin University of Technology, Guilin, China
  • 3College of Chemical Engineering, Huaqiao University, Xiamen, China
  • 4Department of Chemistry, College of Science, King Khalid University, Abha, Saudi Arabia
  • 5Research Center for Advanced Materials Science (RCAMS), King Khalid University, Abha, Saudi Arabia
  • 6School of Environmental Science and Engineering, Hainan University, Haikou, China
  • 7Department of Environmental Science, Zhejiang University, Hangzhou, Zhejiang, China
  • 8Innovation Center of Yangtze River Delta, Zhejiang University, Jiashan, China

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

By Ge Y, Ying K, Yu G, Ali MU, Idris AM, Shahab A and Ullah H (2025) Front. Soil Sci. 5:1623083. doi: 10.3389/fsoil.2025.1623083

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.

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.

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

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) and the copyright owner(s) 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, aGFiaWI5MDFAemp1LmVkdS5jbg==

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.