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首页> 外文期刊>Acta Horticulturae >Correlation between glucosinolate content and spectral reflectance of cabbage leaves using a spectrometer.
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Correlation between glucosinolate content and spectral reflectance of cabbage leaves using a spectrometer.

机译:使用光谱仪测定芥子油苷的芥子油苷含量与光谱反射率之间的相关性。

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Reflectance properties of cabbage leaves at ultra-violet/visibleear-infrared wavebands were studied to examine the relationship between reflectance at selected wavelengths and glucosinolate content for remote sensing. A total of 63 cabbage leaves were sampled from a plant factory to collect reflectance spectra with an UV/VIS/NIR spectrometer, and then the glucosinolate contents were determined through laboratory analysis. The collected reflectance spectra in a range within 250-1100 nm were used to analyze relationship between the reflectance spectra and glucosinolate content. The spectra were collected using the software provided by the manufacturer. To reduce spectral noise, Savitzky-Golay smoothing method with 15 factors on a subset of the dependent variables was used to preprocess the reflectance data. Before the smoothing method was applied, mathematical transformation, including exponential reflectance (Exp(R)), the square of reflectance (R 2), the square root of reflectance (R), and inverse reflectance (1/R) was applied. Then, stepwise multiple linear regression (SMLR) models were obtained. Good relationships were obtained for neoglucobrassicin, glucoraphanin, and 4-methoxyglucobrassicin, while a poor relationship was obtained for the total glucosinolate content. Important wavelengths selected were 305.46 nm, 310.26 nm, 357.21 nm, 414.4 nm, 446.58 nm, 451.21 nm, 485.87 nm, 1,013.3 nm, and 1,027.57 nm. CT International Symposium on New Technologies for Environment Control, Energy-Saving and Crop Production in Greenhouse and Plant Factory - Greensys 2013, Jeju, Korea Republic, 22-27 September 2013.
机译:研究了甘蓝叶在紫外/可见/近红外波段的反射特性,以检验所选波长下的反射率与芥子油苷含量之间的关系,以进行遥感。从植物工厂中总共采集了63张卷心菜叶子,用UV / VIS / NIR光谱仪收集反射光谱,然后通过实验室分析确定芥子油苷的含量。在250-1100nm范围内收集的反射光谱用于分析反射光谱和芥子油苷含量之间的关系。使用制造商提供的软件收集光谱。为了减少频谱噪声,使用在因变量子集上具有15个因子的Savitzky-Golay平滑方法预处理反射率数据。在应用平滑方法之前,应用了数学变换,包括指数反射率(Exp(R)),反射率平方(R 2),反射率平方根(R)和反反射率(1 / R)。然后,获得了逐步多元线性回归(SMLR)模型。新葡糖溴素,葡糖硫蛋白和4-甲氧基葡糖素的关系良好,而总芥子油苷含量的关系较差。选择的重要波长是305.46 nm,310.26 nm,357.21 nm,414.4 nm,446.58 nm,451.21 nm,485.87 nm,1,013.3 nm和1,027.57 nm。 CT国际温室和植物工厂环境控制,节能和作物生产新技术研讨会-Greensys 2013,韩国济州,2013年9月22日至27日。

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