Comparison of multivariate models and variable selection algorithms for rapid analysis of the chemical composition of field crops

Comparison of multivariate models and variable selection algorithms for rapid analysis of the chemical composition of field crops

This study evaluates the use of visible and near-infrared spectroscopy for rapid prediction of total carbon, total nitrogen, and total phosphorus concentrations in field crop samples. Two multivariate models (partial least squares regression and support vector machine regression) were compared. In a...

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Bibliographic Details
Main Authors: Shengxiang Xu, Meiyan Wang, Xuezheng Shi
Format: Article
Language:English
Published: Taylor & Francis Group 2019-07-01
Series:Acta Agriculturae Scandinavica. Section B, Soil and Plant Science
Subjects:
model calibration
support vector machine regression
total carbon
total nitrogen
total phosphorus
visible and near-infrared spectroscopy
Online Access:http://dx.doi.org/10.1080/09064710.2019.1600012

Internet

http://dx.doi.org/10.1080/09064710.2019.1600012

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