Machine Learning Models for Prediction of Soil Properties in the Riparian Forests

Machine Learning Models for Prediction of Soil Properties in the Riparian Forests

Spatial variability of soil properties is a critical factor for the planning, management, and exploitation of soil resources. Thus, the use of different digital soil mapping models to provide accuracy plays a crucial role in providing soil physicochemical properties maps. Soil spatial variability in...

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Bibliographic Details
Main Authors: Masoud Zolfaghari Nia, Mostafa Moradi, Gholamhosein Moradi, Ruhollah Taghizadeh-Mehrjardi
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Land
Subjects:
random forest
artificial neural networks
cubist
ancillary data
soil properties
Online Access:https://www.mdpi.com/2073-445X/12/1/32

Internet

https://www.mdpi.com/2073-445X/12/1/32

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