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	Rapid identification of soil organic matter level via visible and near-infrared spectroscopy: Effects of two-dimensional correlation coefficient and extreme learning machine
	Hong, Yongsheng; Chen, Songchao; Zhang, Yong; Chen, Yiyun; Yu, Lei; Liu, Yanfang; Liu, Yaolin; Cheng, Hang; Liu, Yi
刊名	SCIENCE OF THE TOTAL ENVIRONMENT
	2018
卷号	644
关键词	Remote sensing Soil organic matter fertility level Correlation coefficient Machine learning model
ISSN号	0048-9697
DOI	10.1016/j.scitotenv.2018.06.319
URL标识	查看原文
收录类别	SCIE ; EI
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4150464
专题	武汉大学
推荐引用方式 GB/T 7714	Hong, Yongsheng,Chen, Songchao,Zhang, Yong,et al. Rapid identification of soil organic matter level via visible and near-infrared spectroscopy: Effects of two-dimensional correlation coefficient and extreme learning machine[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2018,644.
APA	Hong, Yongsheng.,Chen, Songchao.,Zhang, Yong.,Chen, Yiyun.,Yu, Lei.,...&Liu, Yi.(2018).Rapid identification of soil organic matter level via visible and near-infrared spectroscopy: Effects of two-dimensional correlation coefficient and extreme learning machine.SCIENCE OF THE TOTAL ENVIRONMENT,644.
MLA	Hong, Yongsheng,et al."Rapid identification of soil organic matter level via visible and near-infrared spectroscopy: Effects of two-dimensional correlation coefficient and extreme learning machine".SCIENCE OF THE TOTAL ENVIRONMENT 644(2018).

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