An interpretable machine learning approach based on SHAP, Sobol and LIME values for precise estimation of daily soybean crop coefficients.

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Title: An interpretable machine learning approach based on SHAP, Sobol and LIME values for precise estimation of daily soybean crop coefficients.
Authors: Elbeltagi, Ahmed1,2 (AUTHOR), Srivastava, Aman3 (AUTHOR), Cao, Xinchun1,4 (AUTHOR) caoxinchun@hhu.edu.cn, Bilali, Ali El5 (AUTHOR), Raza, Ali6 (AUTHOR), Khadke, Leena7 (AUTHOR), Salem, Ali8,9 (AUTHOR) salem.ali@mik.pte.hu
Source: Scientific Reports. 10/21/2025, Vol. 15 Issue 1, p1-20. 20p.
Database: Academic Search Ultimate
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  Data: An interpretable machine learning approach based on SHAP, Sobol and LIME values for precise estimation of daily soybean crop coefficients.
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 10/21/2025, Vol. 15 Issue 1, p1-20. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188799953
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        Value: 10.1038/s41598-025-20386-y
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              Text: 10/21/2025
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