A machine learning-based approach to optimizing heavy metal pollution remediation in biochar-treated soils. (IMAGE)

Cactus Communications

A machine learning-based approach to optimizing heavy metal pollution remediation in biochar-treated soils.

Caption

Biochar is a promising approach to mitigating heavy metal (HM) pollution in soils. However, the optimum conditions for maximum remediation vary with site, biochar, and HM properties. Now, scientists show that machine learning can help predict these optimum conditions beforehand.

Credit

Prof. Yong Sik Ok from Korea University.

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