Precise prediction of soil organic matter in soils planted with a variety of crops through hybrid methods

• Published in: Computers and electronics in agriculture Vol. 200; p. 107246
• Main Authors: Lu, Mu-yuan, Liu, Yuan, Liu, Gui-jian
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2022
• Subjects: Bayesian Maximum Entropy; Disturbance factors; Machine learning models; Soil organic matter; Soil organic matter; Machine learning models; Disturbance factors; Bayesian Maximum Entropy

[Display omitted] •The influence of disturbance factors was quantified by transforming them into soft data.•The BME-RF model was proposed in the SOM prediction research.•The BME-RF model performed better than traditional ML model in SOM prediction.•The spatial distribution of SOM was determined by c...