Multiple linear regression and random forest to predict and map soil properties using data from portable X-ray fluorescence spectrometer (pXRF)

Multiple linear regression and random forest to predict and map soil properties using data from portable X-ray fluorescence spectrometer (pXRF)

ABSTRACT Determination of soil properties helps in the correct management of soil fertility. The portable X-ray fluorescence spectrometer (pXRF) has been recently adopted to determine total chemical element contents in soils, allowing soil property inferences. However, these studies are still scarce...

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Bibliographic Details
Main Authors: Sérgio Henrique Godinho Silva, Anita Fernanda dos Santos Teixeira, Michele Duarte de Menezes, Luiz Roberto Guimarães Guilherme, Fatima Maria de Souza Moreira, Nilton Curi
Format: Article
Language:English
Published: Universidade Federal de Lavras
Series:Ciência e Agrotecnologia
Subjects:
Análises de solo
predição espacial
sensor próximo.
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542017000600648&lng=en&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542017000600648&lng=en&tlng=en

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