Estimating Soil Cd Contamination in Wheat Farmland Using Hyperspectral Data and Interpretable Stacking Ensemble Learning

Estimating Soil Cd Contamination in Wheat Farmland Using Hyperspectral Data and Interpretable Stacking Ensemble Learning

Soil heavy metal pollution threatens agricultural safety and human health, with Cd exceeding standards being the most common problem in contaminated farmland. The development of hyperspectral remote sensing technology has provided a novel methodology of quickly and non-destructively monitoring heavy...

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Bibliographic Details
Main Authors: Liang Zhong, Meng Ding, Shengjie Yang, Xindan Xu, Jianlong Li, Zhengguo Sun
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Agronomy
Subjects:
soil heavy metal
Cd contamination
hyperspectral
stacking ensemble learning
SHAP
fractional-order derivative
Online Access:https://www.mdpi.com/2073-4395/15/7/1574
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