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当前位置: 首页 > 文章 > 基于近红外傅里叶特征提取方法的土壤含水率检测 农业机械学报 2009,40 (5) 70-73
Position: Home > Articles > Near-infrared Spectral Detection of Soil Moisture Based on Feature Extraction of FFT Transactions of the Chinese Society for Agricultural Machinery 2009,40 (5) 70-73

基于近红外傅里叶特征提取方法的土壤含水率检测

作  者：
李小昱;肖武;李培武;雷廷武;王为;冯耀泽
单  位：
中国农业科学院油料作物研究所;华中农业大学工程技术学院;中国科学院水利部水土保持研究所
关键词：
土壤;含水率;近红外光谱;傅里叶变换;特征提取
摘  要：
以湖北地区的3种土壤为研究对象,利用偏最小二乘法建立了处理后样品的土壤含水率分析模型,模型预测值与标准值的决定系数为0.995,交叉验证预测均方差为0.801%,模型预测决定系数为0.992,预测均方差为0.912%,利用该模型预测黄土高原地区黄绵土含水率误差均大于4%。利用近红外光谱傅里叶变换特征提取方法对湖北地区黄棕壤、稻田土和潮土建立土壤含水率PLS预测模型,模型决定系数为0.988,交叉验证预测均方差为1.106%,且该模型预测黄绵土的误差均在2%左右,精度较传统模型有较大提高。
译  名：
Near-infrared Spectral Detection of Soil Moisture Based on Feature Extraction of FFT
作  者：
Li Xiaoyu1 Xiao Wu1 Li Peiwu2 Lei Tingwu3 Wang Wei1 Feng Yaoze1(1.College of Engineering and Technology,Huazhong Agricultural University,Wuhan 430070,China2.Oil Crops Research Institute,Chinese Academy of Agricultural Sciences,Wuhan 430062,China3.Institute of Soil and Water Conservation,Chinese Academy of Sciences and Ministry of Water Resources,Yangling,Shaanxi 712100,China)
关键词：
Soil,Moisture,Near infrared,Fourier transform,Feature extraction
摘  要：
Three kinds of soil from Hubei province was studied,PLS and cross calibration method was employed to establish soil moisture analysis model.The result indicates that the model's decision coefficient was 0.995,and RMSECV was 0.801%,the model's forecast decision coefficient was 0.992,the RMSEP was 0.912%.Using the model to forecast loessial soil on Loess Plateau region,the error was greater than 4%.At last,the study of the Hubei yellow brown earth,paddy field soil and alluvial soil samples collected from Fourier transform parameters and characteristics of soil moisture to establish PLS prediction model,model decision coefficient was 0.988,and RMSECV is 1.106%.And the error of model prediction of loessial soil was less than 2%,the accuracy improved more greatly than traditional model.

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