#7382. Predicting crop root concentration factors of organic contaminants with machine learning models

October 2026publication date
Proposal available till 31-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Environmental Engineering;
Pollution;
Health, Toxicology and Mutagenesis;
Waste Management and Disposal;
Environmental Chemistry;
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More details about the manuscript: Science Citation Index Expanded only!
Abstract:
Accurate prediction of uptake and accumulation of organic contaminants by crops from soils is essential to assessing human exposure via the food chain. However, traditional empirical or mechanistic models frequently show variable performance due to complex interactions among contaminants, soils, and plants. Thus, in this study different machine learning algorithms were compared and applied to predict root concentration factors (RCFs) based on a dataset.
Keywords:
Machine learning; Model interpretability; Organic contaminant; Plant uptake; Root concentration Factor

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