Comparison among principal component, partial least squares and back propagation neural network analyses for accuracy of measurement of selected soil properties with visible and near infrared spectroscopy-Reference-Cited by-同舟云学术

Comparison among principal component, partial least squares and back propagation neural network analyses for accuracy of measurement of selected soil properties with visible and near infrared spectroscopy

Published:2010-08 Issue:1-2 Volume:158 Page:23-31
ISSN:0016-7061
Container-title:Geoderma
language:en
Short-container-title:Geoderma

Author:

Mouazen A.M.,Kuang B.,De Baerdemaeker J.,Ramon H.

Publisher

Elsevier BV

Subject

Soil Science

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4. Validation requirement for diffuse reflectance soil characterization models with a case study of VNIR soil C prediction in Montana;Brown;Geoderma,2005

5. Global soil characterization with VNIR diffuse reflectance spectroscopy;Brown;Geoderma,2006

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