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Method for discriminating shelf life of apple through near infrared spectroscopy based on JADE and ELM

A technology of near-infrared spectroscopy and shelf life, applied in the field of infrared non-destructive testing, can solve the problems of large sample base required for modeling, long training time, time-consuming and labor-consuming acquisition of physical and chemical values ​​of samples, etc., to save manpower and material resources, and test quickly , the effect of improving the accuracy of the model

Active Publication Date: 2016-06-08
CHINA JILIANG UNIV
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AI Technical Summary

Problems solved by technology

The current identification method of fruit shelf life based on near-infrared spectroscopy requires a large number of samples for modeling, a long training time, and the acquisition of physical and chemical values ​​of a large number of samples is time-consuming and labor-intensive.

Method used

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  • Method for discriminating shelf life of apple through near infrared spectroscopy based on JADE and ELM
  • Method for discriminating shelf life of apple through near infrared spectroscopy based on JADE and ELM

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Experimental program
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Embodiment

[0024] 1. Sample Collection and Spectrum Acquisition

[0025] The tested apples are Red Fuji apples, which are produced in Shandong Province and are suitable for fresh consumption, but they have a short shelf life and are easily damaged during storage and transportation. Pick 80 apples with medium size, similar color and no pests and mechanical damage, and transport them to the laboratory for storage at room temperature (25°C, RH50%-60%) on the day of picking. Since the apples need a balance process from picking to room temperature, the composition changes greatly, and they are stored for two days before the first spectral collection. After the spectrum collection was completed, the samples were stored continuously, and the second spectrum collection was performed seven days later. as attached figure 2 As shown, the dotted line in the figure is the spectrum collected for the first time of a certain sample, and the solid line is the spectrum collected for the second time. It...

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Abstract

The invention discloses a method for discriminating the shelf life of an apple through near infrared spectroscopy based on JADE and ELM. The method comprises the following steps: 1, collecting a sample, acquiring the spectrum of the sample to obtain sample near infrared diffuse reflection spectrum data, and packing the original near infrared spectrum data by using discrete wavelet transform; 2, decomposing the packed spectrum data by using a characteristic matrix joint approximate diagonalization algorithm to obtain independent component matrixes and a demixing matrix; 3, establishing an extreme learning machine analysis model by using an extreme learning machine technology with the demixing matrix as model input and corresponding shelf life as output; and 4, carrying out quality evaluation on the model, and determining the shelf life of the sample to be identified. The method has the advantages of realization of rapid identification of the shelf life of apples, enrichment of chemometrics methods, and good application prospect.

Description

technical field [0001] The invention relates to the technical field of infrared non-destructive testing, in particular to a method for identifying the shelf life of apples based on near-infrared spectrum analysis of eigenmatrix joint approximate diagonalization (JADE) and extreme learning machine (ELM). Background technique [0002] Apple is the main fruit that is abundant in northern my country. After harvesting, the activity of certain enzymes in the apple becomes stronger, the respiration rate and ethylene release rate of the fruit increase, and the reproduction of putrefactive microorganisms accelerates, resulting in a decline in quality and eventually rot and loss of commercial value. Therefore, strengthening the monitoring of the shelf life of apples during storage, transportation, and sales will help reduce the loss of fresh apples and ensure the eating quality of fresh fruits during the shelf life, improving economic benefits. [0003] Modern near-infrared spectrosco...

Claims

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Application Information

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IPC IPC(8): G01N21/359
CPCG01N21/359G01N2021/3595
Inventor 林敏焦亮刘辉军
Owner CHINA JILIANG UNIV
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