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Interpretable machine learning models to predict cadmium in wheat for safe production and soil management.

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Title: Interpretable machine learning models to predict cadmium in wheat for safe production and soil management.
Authors: Lü, Qi-Xin1, Tang, Zhi-Xian1, Tang, Zhong1, Dong, Ge1, Xu, Zhong-Rui1, Zhao, Fang-Jie1, Wang, Peng1 p.wang3@njau.edu.cn
Source: Fundamental Research. May2026, Vol. 6 Issue 3, p1492-1500. 9p.
Database: Academic Search Ultimate
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An: 194709573
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  Data: Interpretable machine learning models to predict cadmium in wheat for safe production and soil management.
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  Data: <searchLink fieldCode="JN" term="%22Fundamental+Research%22">Fundamental Research</searchLink>. May2026, Vol. 6 Issue 3, p1492-1500. 9p.
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      – Type: doi
        Value: 10.1016/j.fmre.2025.05.001
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        Text: English
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      – TitleFull: Interpretable machine learning models to predict cadmium in wheat for safe production and soil management.
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              Text: May2026
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              Y: 2026
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