Comparing the artificial neural network with parcial least squares for prediction of soil organic carbon and pH at different moisture content levels using visible and near-infrared spectroscopy

Comparing the artificial neural network with parcial least squares for prediction of soil organic carbon and pH at different moisture content levels using visible and near-infrared spectroscopy

Show other versions (1)

Visible and near infrared (vis-NIR) spectroscopy is widely used to detect soil properties. The objective of this study is to evaluate the combined effect of moisture content (MC) and the modeling algorithm on prediction of soil organic carbon (SOC) and pH. Partial least squares (PLS) and the Artific...

Full description

Bibliographic Details
Main Authors: Yücel Tekin, Zeynal Tümsavas, Abdul Mounem Mouazen
Format: Article
Language:English
Published: Sociedade Brasileira de Ciência do Solo 2014-12-01
Series:Revista Brasileira de Ciência do Solo
Subjects:
modelagem
predição
vis-IVP
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832014000600014&lng=en&tlng=en

Similar Items

Similar Items