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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