Digital mapping of soil phosphorous sorption parameters (PSPs) using environmental variables and machine learning algorithms
Author:
Affiliation:
1. Department of Soil Science, College of Agriculture, Isfahan University of Technology, Isfahan, Iran
2. Department Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road, Urumqi, People’s Republic of China
Funder
Isfahan University of Technology
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences,Computer Science Applications,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2210314
Reference79 articles.
1. THE EFFECTS OF SOIL PROPERTIES ON THE DIFFERENTIAL PHOSPHATE SORPTION BY SEMIARID SOILS FROM NORTHEAST BRAZIL
2. Phosphate sorption in calcareous Moroccan soils as affected by soil properties
3. Phosphorus sorption isotherm characteristics and availability parameters of Appalachian acidic soils
4. Predicting heavy metal contents by applying machine learning approaches and environmental covariates in west of Iran
5. Phosphorus sorption-desorption and effects of temperature, pH and salinity on phosphorus sorption in marsh soils from coastal wetlands with different flooding conditions
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