Prediction of Soil Salinity/Sodicity and Salt-Affected Soil Classes from Soluble Salt Ions Using Machine Learning Algorithms

Prediction of Soil Salinity/Sodicity and Salt-Affected Soil Classes from Soluble Salt Ions Using Machine Learning Algorithms

Salt-affected soils are related to salinity (high content of soluble salts) and/or sodicity (excess of sodium), which are major leading causes of agricultural land degradation. This study aimed to evaluate the performances of three machine learning (ML) algorithms in predicting the soil exchangeable...

Full description

Bibliographic Details
Main Authors: Demis Andrade Foronda, Gilles Colinet
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Soil Systems
Subjects:
machine learning
electrical conductivity
exchangeable sodium percentage
salt-affected soil classification
Online Access:https://www.mdpi.com/2571-8789/7/2/47

Internet

https://www.mdpi.com/2571-8789/7/2/47

Similar Items