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A novel approach for predicting soil water storage in agricultural areas: An optimized stacked ensemble model based on variational mode decomposition and empirical wavelet transform
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OA
AI
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刘
孙
齐
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S
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DOI：10.1016/j.agwat.2026.110671.png)
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Abstract
En 中文
• Three quantitative metrics justify Songnen soil reservoir research necessity. • Signal quality, stationarity, Hurst and autocorrelation confirm decomposition effect. • Optimized stacked ensemble model balances prediction accuracy and generalizability. • Soil reservoir prediction supports agricultural water management in Songnen Plain.
Keywords:
Soil reservoirs
Variational mode decomposition
Empirical wavelet transform
Stacked ensemble model
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