A Machine Learning Approach for Predicting Plant Uptake and Translocation of Per- and Polyfluoroalkyl Substances (PFAS) from Hydroponics

Overview of attention for article published in ACS ES&T Engineering, June 2024

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RT @EnvSciTech: This ACS ES&T Engineering study shows that #machinelearning models can provide critical insights into the plant uptake and…

This ACS ES&T Engineering study shows that #machinelearning models can provide critical insights into the plant uptake and translocation of #PFAS in hydroponics systems which may have implications for food safety. @TAMUCVEN @TAMU_SPH #Openaccess: h…

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