Machine learning ensemble technique for exploring soil type evolution

Abstract Machine learning has shown great potential in predicting soil properties, but individual models are often prone to overfitting, limiting their generalization. Ensemble models address this challenge by combining the strengths of multiple algorithms. This study applies a voting-based ensemble...

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Bibliographic Details
Main Authors: Xiangyuan Wu, Kening Wu, Shiheng Hao, Er Yu, Jinghui Zhao, Yan Li
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-10608-8
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