A comparative study between a new method and other machine learning algorithms for soil organic carbon and total nitrogen prediction using near infrared spectroscopy-Reference-Cited by-同舟云学术

A comparative study between a new method and other machine learning algorithms for soil organic carbon and total nitrogen prediction using near infrared spectroscopy

Published:2019-12 Issue: Volume:195 Page:103873
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Reda Rabie,Saffaj Taoufiq,Ilham Bouzida,Saidi Ouadi,Issam Kadmiri,Brahim Lakssir,El Hadrami El Mestafa

Funder

ANN

MLR

PLS

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference66 articles.

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3. Temporal and Spatial Variability of Soil Organic Matter and Total Nitrogen in an Agricultural Ecosystem as Affected by Farming Practices;Huang,2007

4. Evaluation of sensing technologies for on-the-go detection of macro-nutrients in cultivated soils;Sinfield;Comput. Electron. Agric.,2010

5. Measuring and monitoring soil organic carbon stocks in agricultural lands for climate mitigation;Conant;Front. Ecol. Environ.,2011

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