Enhanced saturated hydraulic conductivity estimation in fine-grained soils: a voting regressor ensemble framework

Key Points

• Improved estimation of saturated hydraulic conductivity highlights the effectiveness of a voting regressor ensemble.
• The framework integrates multiple regression techniques to enhance predictive accuracy for fine-grained soils.
• Observational analysis utilized an ensemble learning method over various soil samples to validate results.
• These findings may inform agricultural practices and civil engineering projects, improving water management strategies.