An Interpretable Model for Salinity Inversion Assessment of the South Bank of the Yellow River Based on Optuna Hyperparameter Optimization and XGBoost

An Interpretable Model for Salinity Inversion Assessment of the South Bank of the Yellow River Based on Optuna Hyperparameter Optimization and XGBoost

Soil salinization is a serious land degradation phenomenon, posing a severe threat to regional agricultural resource utilization and sustainable development. It has been a mainstream trend to use machine-learning methods to achieve monitoring of large-scale salinized soil quickly. However, machine l...

Full description

Saved in:
Bibliographic Details
Main Authors: Xia Liu, Yu Hu, Xiang Li, Ruiqi Du, Youzhen Xiang, Fucang Zhang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agronomy
Subjects:
arid saline land
soil salinity estimation
hyperparameter optimization
explainability
multi-source remotely sensed data
Online Access:https://www.mdpi.com/2073-4395/15/1/18
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2073-4395/15/1/18

Similar Items