Predicting Cd accumulation in crops and identifying nonlinear effects of multiple environmental factors based on machine learning models

Lu, Xiaosong; Sun, Li; Zhang, Ya; Du, Junyang; Wang, Guoqing; Huang, Xinghua; Li, Xuzhi; Wang, Xiaozhi

doi:10.1016/j.scitotenv.2024.175787

Science of The Total Environment

2024

DOI: 10.1016/j.scitotenv.2024.175787

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Predicting Cd accumulation in crops and identifying nonlinear effects of multiple environmental factors based on machine learning models

Xiaosong Lu,

Li Sun,

Ya Zhang

et al.

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Cited by 3 publications

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Predicting Cd accumulation in crops and identifying nonlinear effects of multiple environmental factors based on machine learning models

Cited by 3 publications

References 53 publications

Leveraging multi-omics tools to comprehend responses and tolerance mechanisms of heavy metals in crop plants

Leveraging multi-omics tools to comprehend responses and tolerance mechanisms of heavy metals in crop plants

Screening of practical low-accumulating crops in cadmium-polluted farmland: A field survey and field trail in Guangdong Province, China

Mapping soil cadmium content using multi-spectral satellite images and multiple-residual-stacking model: Incorporating information from homologous pollution and spectrally active materials

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