Combining Digital Covariates and Machine Learning Models to Predict the Spatial Variation of Soil Cation Exchange Capacity

Combining Digital Covariates and Machine Learning Models to Predict the Spatial Variation of Soil Cation Exchange Capacity

Cation exchange capacity (CEC) is a soil property that significantly determines nutrient availability and effectiveness of fertilizer applied in lands under different managements. CEC’s accurate and high-resolution spatial information is needed for the sustainability of agricultural management on fa...

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Bibliographic Details
Main Authors: Fuat Kaya, Gaurav Mishra, Rosa Francaviglia, Ali Keshavarzi
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Land
Subjects:
digital soil mapping
soil cation exchange capacity
feature selection
uncertainty
mountainous region
geomorphology
Online Access:https://www.mdpi.com/2073-445X/12/4/819

Internet

https://www.mdpi.com/2073-445X/12/4/819

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