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	Improving the prediction of arsenic contents in agricultural soils by combining the reflectance spectroscopy of soils and rice plants
	Shi, Tiezhu; Wang, Junjie; Chen, Yiyun; Wu, Guofeng
刊名	INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
	2016
卷号	52
关键词	Visible and near-infrared reflectance spectroscopy Genetic algorithm Partial least squares regression Soil organic matter Leaf chlorophyll Paddy soil
ISSN号	0303-2434
DOI	10.1016/j.jag.2016.06.002
URL标识	查看原文
收录类别	SCIE
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4048120
专题	武汉大学
推荐引用方式 GB/T 7714	Shi, Tiezhu,Wang, Junjie,Chen, Yiyun,et al. Improving the prediction of arsenic contents in agricultural soils by combining the reflectance spectroscopy of soils and rice plants[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2016,52.
APA	Shi, Tiezhu,Wang, Junjie,Chen, Yiyun,&Wu, Guofeng.(2016).Improving the prediction of arsenic contents in agricultural soils by combining the reflectance spectroscopy of soils and rice plants.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,52.
MLA	Shi, Tiezhu,et al."Improving the prediction of arsenic contents in agricultural soils by combining the reflectance spectroscopy of soils and rice plants".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 52(2016).

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