利用高光谱数据估测水稻米粉中粗蛋白粗淀粉和直链-矿业科学学报.DOC

利用高光谱数据估测水稻米粉中粗蛋白粗淀粉和直链-矿业科学学报.DOC

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利用高光谱数据估测水稻米粉中粗蛋白粗淀粉和直链-矿业科学学报

利用高光谱数据估测水稻米粉中粗蛋白粗淀粉 和直链淀粉含量 刘 芸1,唐延林1,黄敬峰2,蔡绍洪1,楼 佳1 (1贵州大学理学院,贵阳 550025;2浙江大学农业遥感与信息技术应用研究所,杭州 310029) 摘要:【目的】粗蛋白质、粗淀粉和直链淀粉含量是水稻品质的3个重要指标。研究米粉中粗蛋白、粗淀粉和直链淀粉含量的光谱快速检测方法为水稻品质遥感监测提供依据。【方法】通过田间小区试验,获得了5个品种、3个供氮水平处理的米粉样品,提取样品的粗蛋白质、粗淀粉和直链淀粉,测定样品的粗蛋白质、粗淀粉和直链淀粉含量,同时测定相应的高光谱数据及粗蛋白质与粗淀粉混合样品的高光谱数据,分析它们的高光谱特征及其与样品粗蛋白质、粗淀粉和直链淀粉含量之间的相关性,建立相关估测模型。【结果】粗蛋白质和粗淀粉、直链淀粉的光谱有明显的差异,米粉粗蛋白质、粗淀粉和直链淀粉含量与其某些高光谱参量之间存在极显著相关,其中决定系数R2约0.7,相关估测模型的检验精度在80%以上。【结论】高光谱法可以用来估测米粉的粗蛋白、粗淀粉和直链淀粉含量。 关键词:高光谱数据;米粉;粗蛋白质;粗淀粉;直链淀粉 Contents of Crude Protein, Crude Starch and Amylase in Rice Flour by Hyperspectral Data LIU Yun1, TANG Yan-lin1, HUANG Jing-feng2, CAI Shao-hong1, LOU Jia1 (1College of Science, Guizhou University, Guiyang 550025; 2Institute of Agricultural Remote Sensing Information System Application, Zhejiang University, Hangzhou 310029) Abstract: 【Objective】The contents of crude protein, crude starch and amylase are three important indices to evaluate the nutrition and taste quality of rice. To study the method for quick inspecting the contents of crude protein, crude starch and amylase of rice flour may provide a basis for monitoring rice quality by remote sensing. 【Method】The 5 varieties of rice flour sample under 3 nitrogen levels were obtained through field testing. The crude protein, crude starch and amylase were extracted from the rice flour, and their contents were determined. The hyperspectral reflectances of samples themselves, their crude protein, crude starch, amylase and mixture with crude protein and crude starch were measured by a ASD FieldSpec Pro FR?. The hyperspectral characteristics and their correlation were analyzed. 【Result】The hyperspectral reflectances of crude protein different from that of crude starch and amylase. The contents (%) of crude protein, crude starch and amylase in rice were very significantly correlated to their some hyperspectral parameters. The squared multiple correlation coefficients (R2) were about 0.7. For the inspection of estimating m

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