The present invention relates to a method of determining origin grain samples using near infrared multivariate analysis, in more detail the grain sample is irradiated with near-infrared light to measure the amount of any near-infrared absorption spectrum for each wavelength and determine any origin divided into predictive models for the prediction model development and one for verification and any distinct origin for the development of predictive models to determine the grain sample takes the raw absorption spectra and its derivative correction to the average of the near infrared absorption spectrum of the sample determine the difference between the origin of grain spectrum and subjected to statistical analysis to develop predictive models of the grain sample and determination of origin, the development of the grain sample Origin prediction model to determine the grain sample and compare predictive models to determine the origin of the near infrared absorption spectra for verification to verify the fit of predictive models and predictive models to determine the origin of the best ways to determine the origin of the grain sample comprising the steps of starting relates. According to the present invention, does not require a separate expensive apparatus, time required for the analysis, it is possible to reduce the expense and effort, with destructive or non-destructive way, regardless of the type of sample to be analyzed can be analyzed, genetic information possible to determine the country of origin in accordance with the same even if the plantations with high accuracy, and grain samples 1 bet in real-time determination of origin is possible in a short period of time of about 30 seconds. ;
展开▼
