Method for distinguishing varieties of crop seeds

Abstract

The invention aims to provide a method for rapidly distinguishing varieties of crop seeds by near infrared spectrum and biomimetic pattern recognition. The method establishes a biomimetic pattern recognition model in a near infrared spectrum wavelength region of the crop seed varieties and identifies variety samples of the crop seeds through the biomimetic pattern recognition model. The near infrared spectrum can be used for obtaining characteristic information of all organic molecule hydrogen-containing groups in the samples, and has the advantages of strong substance penetration capacity, no need for performing any pretreatment on the samples, no harm to human body, no pollution to the environment and capacity of implementing automatic classification of the crop seed varieties through a computer by the biomimetic pattern recognition. The near infrared spectrum and the biomimetic pattern recognition are combined to perform rapid, lossless and efficient qualitative analysis on the crop seed varieties, so the method has an important theoretical and realistic significance for distinguishing crop varieties.

Description

technical field [0001] The invention belongs to the field of agricultural spectrum analysis, and in particular relates to a method for rapidly identifying crop seed varieties by using near-infrared spectrum and bionic pattern recognition. Background technique [0002] Since the 1930s, people have gradually paid attention to the hybrid vigor of crops, and hybrid varieties have also been widely promoted. At the same time, incidents of pitting and harming farmers caused by fake seeds have occurred from time to time, causing great losses to the country and agricultural production. Therefore, the identification of crop seed varieties is one of the important issues in agricultural production, crop breeding and seed inspection. Commonly used methods for seed variety identification at home and abroad mainly include morphological methods, fluorescence scanning identification methods, chemical identification methods and electrophoresis identification methods. [0003] Morphological ...

AI Technical Summary

Problems solved by technology

The electrophoresis identification method has high accuracy and good repeatability, but it is difficult to find specific proteins for some varieties with very close genetic composition, and it is also difficult to find the characteristic bands for distinction by protein electrophoresis

In addition, electrophoresis takes a long time, and the identification process is cumbersome, and it is difficult for non-professionals to do it. It is not suitable for batch rapid analysis and non-destructive online monitoring of samples.

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