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703 nm的导数光谱及460,720,1450,1 650和1920 nm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.
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 colinearity, 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.
出处
《江苏大学学报（自然科学版）》
EI
CAS
北大核心
2008年第5期369-372,共4页
Journal of Jiangsu University：Natural Science Edition
基金
国家高技术863项目(2008AA10Z204)
江苏省科技攻关项目(BE2005316)
关键词
葡萄
含水率
光谱分析
多重共线性
主成分分析
grape
moisture content
spectral analysis
multiple colinearity
principal component analysis
