Article Details
Retrieved on: 2024-08-26 07:39:53
Tags for this article:
Click the tags to see associated articles and topics
Summary
The article discusses the use of machine learning to improve the efficiency of phytoremediation methods for soil contamination by predicting plant resistance and degradability of pollutants, specifically PCBs. The research integrates techniques like 3D-QSAR modeling to better understand and enhance bioremediation processes. Tags: Soil contamination, Pollution, Bioremediation, Environmental engineering, Polychlorinated biphenyl, Phytoremediation, Environmental remediation, Persistent organic pollutant, Machine learning, Quantitative structure-activity relationship.
Article found on: www.frontiersin.org
This article is found inside other hiswai user's workspaces. To start your own collection, sign up for free.
Sign UpAlready have an account? Log in here