DETECTING MOISTURE CONTENT OF SOUTHERN SOIL IN CHINAUSING NEAR-INFRARED SPECTROSCOPY

摘要：

Three types of Southern soil (yellow-brown soil, paddy soil and alluvial soil) were studied based on NIR spectra. Soil moisture analysis model of pretreated soil samples was established by PLS, with R2=0.9946 and 0.9919 and RMSECV=0.801％, RMSEP=0.912％ for validation and prediction, respectively. 12 unpretreated soil samples were predicted by re-established PLS model based on Kennard-Stone algorithm,with average absolute error reducing from 0.78％ to 0.42％, which showed that the soil sample space expansion method can improve model prediction accuracy.

关键词： NIR soil water content PCA PLS Kennard-Stone algorithm

作者: Feng Yaoze Li Xiaoyu Li Peiwu Lei Tingwu Wang Wei Xiao Wu Zhou Zhu

作者单位: College of Engineering and Technology,Huazhong Agricultural University,Wuhan,China Oil Crops Research Institute,Chinese Academy of Agricultural Sciences,Wuhan,China Institute of Soil and Water Conservation,Chinese Academy of Sciences and Ministry of Water Resources

会议类型: 国际会议

会议名称: 第三届亚洲精细农业会议暨第五届智能化农业信息技术国际会议

会议地点: 北京

会议语种:英文

页码: 1-6

在线出版日期: 2009-10-14（万方平台首次上网日期，不代表论文的发表时间）