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

Gao, Feng, Shen, Yike, Brett Sallach, J. orcid.org/0000-0003-4588-3364 et al. (4 more authors) (2022) Predicting crop root concentration factors of organic contaminants with machine learning models. Journal of hazardous materials. 127437. ISSN 0304-3894

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Item Type: Article
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Funding Information: The work was supported by the National Key Research and Development Program of China , China ( 2019YFC1604503 and 2016YFD0800403 ). © 2021 Elsevier B.V. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy.

Keywords: Machine learning,Model interpretability,Organic contaminant,Plant uptake,Root concentration Factor
Dates:
  • Published: 15 February 2022
  • Published (online): 5 October 2021
  • Accepted: 3 October 2021
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Environment and Geography (York)
The University of York > Faculty of Sciences (York) > Chemistry (York)
Depositing User: Pure (York)
Date Deposited: 25 Nov 2021 14:00
Last Modified: 17 Mar 2025 00:09
Published Version: https://doi.org/10.1016/j.jhazmat.2021.127437
Status: Published
Refereed: Yes
Identification Number: 10.1016/j.jhazmat.2021.127437
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