X-ray fluorescence spectrometry applied to digital mapping of soil fertility attributes in tropical region with elevated spatial variability
نویسندگان
چکیده
Portable X-ray fluorescence (pXRF) spectrometry offers valuable information for prediction models of soil fertility attributes spatial variation, although this approach is yet scarce in tropical regions. This study aims to predict and build variability maps pH, remaining phosphorus (P-Rem), organic matter (SOM) sum bases (SB) using pXRF results through stepwise multiple linear regression (SMLR) Random Forest (RF) a highly variable area. Composite samples from A horizon were collected at 90 points throughout the campus Federal University Lavras, Minas Gerais, Brazil, P-Rem, SOM, SB analyses. RF predictions showed highest accuracies, especially P-Rem (R² values 0.66 0.55, respectively). Attributes that higher R² punctual also exhibited predictions. Data obtained tandem with can be used assist attributes, consequently enabling digital mapping such helping improve knowledge about soils climate. technique therefore identification orientation adequate management practices agricultural practices.
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ژورنال
عنوان ژورنال: Anais Da Academia Brasileira De Ciencias
سال: 2021
ISSN: ['0001-3765', '1678-2690']
DOI: https://doi.org/10.1590/0001-3765202120200646