Improving the prediction of arsenic contents in agricultural soils by combining the reflectance spectroscopy of soils and rice plants

Published 2016 View Full Article

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Title
Improving the prediction of arsenic contents in agricultural soils by combining the reflectance spectroscopy of soils and rice plants
Authors
Keywords
Visible and near-infrared reflectance spectroscopy, Genetic algorithm, Partial least squares regression, Soil organic matter, Leaf chlorophyll, Paddy soil
Journal
International Journal of Applied Earth Observation and Geoinformation
Volume 52, Issue -, Pages 95-103
Publisher
Elsevier BV
Online
2016-06-16
DOI
10.1016/j.jag.2016.06.002

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