Review
Open access
Sep 2026
Machine Learning in Contaminated Soil Remediation: From Monitoring, Source Apportionment, and Risk Assessment to Practical Applications
This review summarizes the key strengths and inherent drawbacks of machine learning techniques in contaminated soil remediation and further indicates the promising application prospects of machine learning in this field.
Chen Li, Hong Jiang, Qiao-Wu Deng et al.
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