Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran
Estimation of the soil organic carbon (SOC) content is of utmost importance in understanding the chemical, physical, and biological functions of the soil. This study proposes machine learning algorithms of support vector machines (SVM), artificial neural networks (ANN), regression tree, random fores...
Main Authors: | Mostafa Emadi, Ruhollah Taghizadeh-Mehrjardi, Ali Cherati, Majid Danesh, Amir Mosavi, Thomas Scholten |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-07-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/14/2234 |
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