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Weeds Discrimination Using Near Infrared/Visible Spectral Analysis Technology

机译:使用近红外/可见光谱分析技术识别杂草

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The spectral reflectance of cotton, rice and weeds were determined in the range from 350 to 2500nm using the Analytical Spectral Device Full Range FieldSpee Pro (ASD) in laboratory. The discrimination analysis was done using the statistical software package SAS. The spectral reflectance at the green peak (555nm) was chosen as denominator, wavelength ratios were calculated as variables to discriminate. Wavelength ratios were selected using the STEPDISC procedure. With the selected variables, discriminant models were developed using the DISCRIM procedure in SAS. Five wavelength ratios selected, which are 395/555, 535/555, 705/555 and 1105/555, gained good classification performance (100% accuracy) for distinguishing barnyard-grass from rice. The ratio of spectral reflectance at 705nm in the red edge to spectral reflectance at 555nm contributes more to discrimination.
机译:在实验室中使用分析光谱仪全量程FieldSpee Pro(ASD)在350至2500nm范围内测定棉花,水稻和杂草的光谱反射率。辨别分析是使用统计软件包SAS完成的。选择绿色峰(555nm)处的光谱反射率作为分母,计算波长比作为变量以进行区分。使用STEPDISC程序选择波长比。通过选择变量,使用SAS中的DISCRIM程序开发了判别模型。所选择的五个波长比分别为395 / 555、535 / 555、705 / 555和1105/555,在区分rice和稻谷方面获得了很好的分类性能(100%精度)。红色边缘中705nm处的光谱反射率与555nm处的光谱反射率之比,对分辨力的贡献更大。

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