Predictive performance of mobile vis-near infrared spectroscopy for key soil properties at different geographical scales by using spiking and data mining techniques-Reference-Cited by-同舟云学术

Predictive performance of mobile vis-near infrared spectroscopy for key soil properties at different geographical scales by using spiking and data mining techniques

Published:2017-04 Issue: Volume:151 Page:118-129
ISSN:0341-8162
Container-title:CATENA
language:en
Short-container-title:CATENA

Author:

Nawar Said^ORCID,Mouazen Abdul M.

Funder

Innovate UK and Biotechnology and Biological Sciences Research Council

Publisher

Elsevier BV

Subject

Earth-Surface Processes

Reference63 articles.

1. Improving the prediction performance of a large tropical vis-NIR spectroscopic soil library from Brazil by clustering into smaller subsets or use of data mining calibration techniques;Araújo;Eur. J. Soil Sci.,2014

2. Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy. TrAC;Bellon-Maurel;Trends Anal. Chem.,2010

3. Visible-near infrared reflectance spectroscopy for assessment of soil properties in a semi-arid area of Turkey;Bilgili;J. Arid Environ.,2010

4. Precision agriculture and sustainability;Bongiovanni;Precis. Agric.,2004

5. Soil Quality. Chemical Methods. Determination of Organic and Total Carbon After Dry Combustion (Elementary Analysis). Equivalent to ISO 10694:1995;British Standard BS 7755 Section 3.8,1995

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