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A novel quantitative approach for factor identification and risk prediction of cadmium accumulation in wheat using machine learning and Bayesian models

Crossref DOI link: https://doi.org/10.1007/s11104-026-08272-6

Published Online: 2026-01-15

Published Print: 2026-02

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wang, Yakun

Zhang, Zhuo https://orcid.org/0000-0002-2847-4115
Liang, Chouyuan

Huang, Haochong

Wu, Kening

Zhao, Huafu

Shangguan, Yuxian
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Text and Data Mining valid from 2026-01-15

Version of Record valid from 2026-01-15
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Article History

Received: 13 October 2025

Accepted: 31 December 2025

First Online: 15 January 2026

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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