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Fruit soluble solid indirect nondestructive testing method and system

A non-destructive testing and soluble technology, applied in measuring devices, material excitation analysis, instruments, etc., can solve the problems of inability to detect the soluble solids content of fresh fruits, improve training speed and accuracy, strong practicability, and simple sample preparation Effect

Inactive Publication Date: 2021-04-06
HUAZHONG UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of the above defects or improvement needs of the prior art, the present invention provides an indirect nondestructive detection method and system for fruit soluble solids, the purpose of which is to solve the problem that the existing technology cannot detect the content of fresh fruit soluble solids under non-destructive conditions. technical problem

Method used

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  • Fruit soluble solid indirect nondestructive testing method and system
  • Fruit soluble solid indirect nondestructive testing method and system
  • Fruit soluble solid indirect nondestructive testing method and system

Examples

Experimental program
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Effect test

Embodiment 1

[0035] A kind of indirect non-destructive detection method of fruit soluble solids, such as figure 1 shown, including the following steps:

[0036] S1. The leaves on the fruit to be detected are heated at a constant temperature until the quality of the leaves does not change, and the spectrum of the leaves is collected based on laser-induced breakdown spectroscopy technology to obtain the spectral characteristics of the leaves; preferably, after collecting the spectra of the leaves, The collected spectra were peak-finded and redundantly removed to obtain the spectral characteristics of the leaves. Specifically, in this embodiment, a genetic algorithm is used to remove redundancy from the spectrum after peak finding.

[0037] S2. Input the obtained leaf spectral features into the pre-trained soluble solids detection model to obtain the classification level of soluble solids content;

[0038] Among them, the soluble solids detection model is a machine learning model. Specific...

Embodiment 2

[0052] An indirect nondestructive detection system for fruit soluble solids, comprising:

[0053] The feature extraction module is used to heat the leaves on the fruit to be detected at a constant temperature until the quality of the leaves does not change, and collect the spectra of the leaves based on laser-induced breakdown spectroscopy to obtain the spectral characteristics of the leaves;

[0054] The soluble solids detection module is used to input the leaf spectral characteristics into the pre-trained soluble solids detection model to obtain the classification level of the soluble solids content;

[0055] Among them, the soluble solids detection model is a machine learning model.

[0056] Preferably, the above-mentioned indirect nondestructive detection system for fruit soluble solids further includes: a model training module, configured to execute steps S01-S03 provided in Embodiment 1 of the present invention.

[0057] The relevant technical features are the same as t...

Embodiment 3

[0059] A computer-readable storage medium, the computer-readable storage medium includes a stored computer program, wherein, when the computer program is run by a processor, the device where the storage medium is located is controlled to execute a method provided in Embodiment 1 of the present invention. An indirect nondestructive detection method for fruit soluble solids.

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Abstract

The invention discloses a fruit soluble solid indirect nondestructive testing method and a fruit soluble solid indirect nondestructive testing system and belong to the field of food component analysis. The method comprise the following steps of S1, carrying out constant-temperature heating on leaves on a fruit to be detected until the mass of the leaves is not changed, and carrying out spectrum acquisition on the leaves based on a laser-induced breakdown spectroscopy technology, leaf spectral characteristics being obtained; and S2, inputting the obtained leaf spectral characteristics into a pre-trained soluble solid detection model to obtain the classification grade of the soluble solid content. According to the method, the content of the soluble solids in the fruits is indirectly analyzed through the leaf spectrum, the fruits to be detected cannot be damaged, the content of the soluble solids in the fresh fruits can be detected under the nondestructive condition, and the method is high in practicability in the field of fresh fruit detection. In addition, a laser-induced breakdown spectroscopy technology is combined with chemometrics to detect soluble solids of fruits, and the method is simple, convenient and rapid.

Description

technical field [0001] The invention belongs to the field of food component analysis, and more specifically relates to an indirect nondestructive detection method and system for fruit soluble solids. Background technique [0002] Fruits are rich in nutrients such as vitamins, minerals and dietary fiber, and are favored by consumers. With the improvement of people's living standards, indicators such as the flavor quality and nutritional content of fruits have gradually been valued by people. Among them, the soluble solid content largely determines the sugar content and nutritional content of the fruit, and is one of the important indicators to determine the quality and price of the fruit. The determination of fruit soluble solid content can guide its picking, storage and processing, reduce the loss in the process, and improve its economic benefits. Therefore, there is an urgent need for a rapid and non-destructive method for the determination of fruit soluble solids content...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/71
CPCG01N21/718
Inventor 郭连波张登赵志方汪威良陈锋胡桢麟寇卫萍
Owner HUAZHONG UNIV OF SCI & TECH