A Fusion XGBoost Approach for Large-Scale Monitoring of Soil Heavy Metal in Farmland Using Hyperspectral Imagery

A Fusion XGBoost Approach for Large-Scale Monitoring of Soil Heavy Metal in Farmland Using Hyperspectral Imagery

Heavy metal pollution of farmland is worsened by the excessive introduction of heavy metal elements into soil systems, posing a substantial threat for global food security and human health. The traditional laboratory-based methods for monitoring soil heavy metals are limited for large-scale applicat...

Full description

Saved in:
Bibliographic Details
Main Authors: Xuqing Li, Huitao Gu, Ruiyin Tang, Bin Zou, Xiangnan Liu, Huiping Ou, Xuying Chen, Yubin Song, Wei Luo, Bin Wen
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Agronomy
Subjects:
hyperspectral image
spectral response features
soil heavy metal
farmland
XGB-Boruta
XGBoost
Online Access:https://www.mdpi.com/2073-4395/15/3/676
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2073-4395/15/3/676

Similar Items