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基于光谱反射特征葡萄叶片含水率模型的建立
引用本文:毛罕平,张晓东,李雪,张元.基于光谱反射特征葡萄叶片含水率模型的建立[J].江苏大学学报(自然科学版),2008,29(5).
作者姓名:毛罕平  张晓东  李雪  张元
作者单位:江苏大学农业工程研究院现代农业装备与技术省部共建教育部/江苏省重点实验室,江苏,镇江,212013
基金项目:国家高技术研究发展计划(863计划),江苏省科技攻关计划
摘    要:采用光谱分析技术对葡萄缺水状况进行了定量分析,对4种水分胁迫下的葡萄叶片的光谱数据进行分析,发现703nm的导数光谱及460,720,1450,1650和1920nm波段的光谱反射率与葡萄干基含水率呈极显著相关.为克服多重共线性影响,采用主成分回归法建立了叶片干基含水率的定量分析模型,模型预测值与实测值的相关系数为0.94,模型的检验误差(RMSE)为0.15.

关 键 词:葡萄  含水率  光谱分析  多重共线性  主成分分析

Model establishment for grape leaves dry-basis moisture content based on spectral signature
MAO Han-ping,ZHANG Xiao-dong,LI Xue,ZHANG Yuan.Model establishment for grape leaves dry-basis moisture content based on spectral signature[J].Journal of Jiangsu University:Natural Science Edition,2008,29(5).
Authors:MAO Han-ping  ZHANG Xiao-dong  LI Xue  ZHANG Yuan
Abstract:The grape water stress condition was quantitatively analyzed by using spectroscopy.From the spectral data of grape leaves under different water stress,it was found that the linear relationships between dry-basis moisture content of grape leaf and spectral reflectance data in 460,720,1 450,1 650,1 920 nm and the derivative data in 703 nm were very notable.In the case of the effect of multiple coli-nearity,the method of principal component regression was used to establish the model of the dry-basis moisture content of grape leaves.The correlation coefficient between the predicted data and the measurement data is 0.94,and the root mean square error is 0.15.
Keywords:grape  moisture content  spectral analysis  multiple colinearity  principal component analysis
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