Identifying Nutrition Sensitive Spectral Changes in Various Winter Wheat Samples

摘要

The hyperspectral imaging spectroscopy is a promising future tool in the field of optical remote sensing and it creates new perspective for modern information management in site specific agricultural production. One can determine quantitative relationships between the environmental and physiological parameters of vegetation cover and the soil quality parameters as well as the features of the reflectance spectra by the new-generation data monitoring and sampling method. These reflectance spectra havecharacteristics of the different crops and provide with the possibility of accurate classification and detection. The objective was to present the technological capabilities of hyperspectral imaging and show some exprimental results of nutrient sensitivechanges in the winter wheat spectra. There were found two characteristic wavelength ranges: the 500 to 800 ran for wheat kernel samples and the 1650 nm to 1800 ran for wheat ear samples where fertilizer treatments showed definite trend on the basis of the normalized reflectance spectra.