Method for rapidly identifying red jujube varieties

Abstract

The invention discloses a method for rapidly identifying red jujube varieties. The method comprises the following steps: respectively selecting hyperspectral data in upper, lower, left, right and middle areas of interest from each red jujube, and solving the average spectrum of the five areas of interest to serve as spectral data of the sample; measuring the maximum size of the length, width and height of the red jujubes through an MYD64A1 measurement light curtain so as to obtain an approximate volume of the red jujubes; selecting an optimal two-dimensional wavelet to perform multiscale decomposition on two-dimensional correlation spectroscopy and respectively reconstructing each layer; performing modeling prediction on each layer of reconstructed correlation spectrum and obtaining a root-mean-square error of cross validation; performing sub-model fusion through the calculated weight; and evaluating the result and performance of the multiscale-two-dimensional correlation spectrum model by predicting the root-mean-square error and correlation coefficient. According to the method disclosed by the invention, the maximum size of the length, width and height of the red jujubes is measured based on the light curtain method, and the red jujube varieties are rapidly identified by utilizing the volume difference and spectral data.

Description

technical field [0001] The invention relates to a jujube variety identification method, in particular to a jujube variety rapid identification method. Background technique [0002] Jujube is a plant fruit with extremely high nutritional and health care value and medicinal value. It is a health fruit that integrates the three functions of medicine, food and tonic. Xinjiang is one of the main production areas of jujube in my country. Its jujube resources are very rich and there are many kinds of samples. With the continuous breeding of varieties for many years, the quality of jujubes varies greatly among different varieties or even the same variety, and the amount of information representing the quality of jujubes is very large. [0003] It is difficult for existing technologies to quickly and effectively identify them. In addition, due to the complex composition of jujube, the corresponding quality characteristic factors are many, and the amount of characterization data is ...

AI Technical Summary

Problems solved by technology

[0003] Existing technology is difficult to quickly and effectively identify it

In addition, due to the complex composition of jujube, the corresponding quality characteristic factors are many, and the amount of characterization data is large, it is urgent to develop an intelligent identification device that can meet the requirements of industrial online real-time processing and can identify the quality of jujube non-destructively, quickly and accurately

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