通过测定不同品种玉米不同器官（叶片、茎、穗和叶鞘）的室内光谱反射率及其对应的粗脂肪含量，采用相关性分析以及单变量线性拟合分析技术，对粗脂肪含量与原始光谱反射率、光谱反射率一阶微分之间的关系进行了分析。结果表明，采用高光谱反射率对玉米粗脂肪含量进行估算具有可行性。对所构建的方程采用3类指标进行精度检验，认为由1 954 nm处光谱反射率一阶微分所构建的指数模型可对玉米粗脂肪含量较好地预测。
The hyperspectral reflectances of leaf, stem, ear and sheath and corresponding crude fat content in six kinds of corn (Zea mays L.) were determined. Correlation between crude fat content and spectral measurements was calculated. The crude fat content of dried ground leaves was best predicted with the first derivative reflectance. Precision evaluation indicated that the exponential model derived from the first derivative reflectance at 1954 nm was the best for the estimation of corn crude fat content.
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