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Optical weed detection and evaluation using reflection measurements

机译：使用反射测量进行光学杂草检测和评估

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Abstract: For the site-specific application of herbicides, the automatic detection and evaluation of weeds is necessary. Since reflectance of crop, weeds and soil differs in visual and near IR wavelengths, there is a potential for using reflection measurements at different wavelengths to distinguish between them. Diffuse reflectance spectra of crop and weed leaves were used to evaluate the possibilities of weed detection with reflection measurements. Fourteen different weed species and four crops were included in the dataset. Classification of the spectra in crop, weeds and soil is possible, based on 3 to 7 narrow wavelength bands. The spectral analysis was repeated for reflectance measurements of canopies. Sugarbeet and Maize and 7 weed species were included in the measurements. The classification into crop and weeds was still possible, suing a limited number of wavelength band ratios. This suggest that reflection measurements at a limited number of wavelength bands could be used to detect and treat weeds in a field. This is a great environmental benefit, as agrochemicals will only be used where they are needed. The possibilities of using optical reflectance for weed detection and treatment in the field are discussed. !27
机译：摘要：对于除草剂的现场特定应用，杂草的自动检测和评估是必要的。由于农作物，杂草和土壤的反射率在可见光和近红外波长上不同，因此有可能使用不同波长的反射测量值来区分它们。作物和杂草叶片的漫反射光谱用于评估反射测量对杂草检测的可能性。数据集中包括14种不同的杂草物种和4种农作物。根据3至7个窄波段，可以对作物，杂草和土壤中的光谱进行分类。重复光谱分析以测量冠层的反射率。测量中包括了甜菜和玉米以及7种杂草。使用有限数量的波长带比率，仍然可以将农作物和杂草分类。这表明在有限数量的波段上的反射测量可用于检测和处理田间的杂草。这是巨大的环境效益，因为农药仅在需要的地方使用。讨论了将光反射率用于野外杂草检测和处理的可能性。 ！27

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