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...

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Bibliografische gegevens

Hoofdauteurs:	Demis Andrade Foronda, Gilles Colinet
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2023-05-01
Reeks:	Soil Systems
Onderwerpen:	machine learning electrical conductivity exchangeable sodium percentage salt-affected soil classification
Online toegang:	https://www.mdpi.com/2571-8789/7/2/47
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