青菜叶面药液浓度光谱相关特性研究
Research of related character spectra of pesticide concentration on the green vegetables leaf
本文依据青菜叶面药液浓度的光谱相关特性曲线,寻找到叶面药液光谱的最佳建模波段,最佳波段范围为350~1900nm。在该波段下进行偏最小二乘法回归,建立了青菜叶面药液浓度大小与样本光谱反射率之间的定量数学模型。PLS主成分数为4,校正集相关系数为0.984,校正均方根误差为0.009;预测集相关系数为0.929,预测均方根误差为0.075,预测平均相对误差为11.469%。试验结果表明,所建模型的预测精度较高,运用相关谱图优选建模波段,以该波段建模预测青菜叶面药液浓度是可行的。
his paper based on spectra related characteristic curve of pesticide concentrtion on the green vegetables leaf. finding the best spectra band of establishing model, the best band interval is 350~1900nm. making partial least squares regression in this band,and developing the quantitative analysis model for pesticide concentration with diffuse reflectance spectroscopy. Principal component count of Partial least squares is four,The correlation coefficient between the prediction values and the truth values in the calibration set (Rc) was 0. 984, the root mean square error of cross-validation of the calibration set(RMSEC) was0.009.The correlation coefficient between the prediction values and the truth values in the prediction set (Rp) was 0. 929, the root mean square error of cross-validation of the prediction set(RMSEP) was 0.075. Predict average relative error is 11.469%. Experiment results show that model prediction accuracy is higher, it is feasible that near infrared spectroscopy test pesticide concentration on the green vegetables leaf.
殷磊、邱白晶
植物保护农业科学技术发展生物科学现状、生物科学发展
近红外光谱青菜叶面偏最小二乘敏感波段
Near infrared spectroscopyGreen vegetables leafPartial least squaresSensitive band
殷磊,邱白晶.青菜叶面药液浓度光谱相关特性研究[EB/OL].(2012-04-26)[2025-08-18].http://www.paper.edu.cn/releasepaper/content/201204-392.点此复制
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