Predicting and Mapping of Soil Organic Matter with Machine Learning in the Black Soil Region of the Southern Northeast Plain of China

Predicting and Mapping of Soil Organic Matter with Machine Learning in the Black Soil Region of the Southern Northeast Plain of China

The estimation of soil organic matter (SOM) content is essential for understanding the chemical, physical, and biological functions of soil. It is also an important attribute reflecting the quality of black soil. In this study, machine learning algorithms of support vector machine (SVM), neural netw...

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Bibliographic Details
Main Authors: Yiyang Li, Gang Yao, Shuangyi Li, Xiuru Dong
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Agronomy
Subjects:
soil organic matter
machine learning
random forest
mapping
soil information
Online Access:https://www.mdpi.com/2073-4395/15/3/533
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