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Fruit and vegetable quality highlight photographing and nondestructive spectral scanning determining system

A spectral scanning, fruit and vegetable technology, applied in high-light photography and non-destructive spectral scanning to judge the quality of fruits and vegetables, and in the field of non-destructive detection of food quality systems, it can solve the problems that the comprehensive evaluation of fruits has not been realized and has not yet appeared, and achieve non-destructive evaluation of fruit and vegetable quality Effect

Inactive Publication Date: 2017-05-31
SHENZHEN BATIAN ECOTYPIC ENG
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The detection system only solves the internal evaluation. Although it solves the location data of the fruit, it does not realize the comprehensive evaluation of the external and internal of the fruit.
[0006] The problem to be solved by the present invention is to develop a system that simultaneously detects the quality of fruits based on external detection and internal detection. The high-light database and spectral database of this system are currently not available. appear, the present invention is to solve this problem, and at the same time, in order to realize that the system can solve the comprehensive evaluation under the condition that the quality of fruits and vegetables is not damaged, and provides a method for applying the system

Method used

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  • Fruit and vegetable quality highlight photographing and nondestructive spectral scanning determining system

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Effect test

Embodiment 1

[0023] Example 1: Highlight Database

[0024] The high-gloss database is connected to the high-gloss data input end and the naked eye evaluation data input end, the high-gloss data input end is connected to the high-gloss camera device, and the high-gloss camera device takes photos of fruits and vegetables, and inputs the photos taken and / or high-broad-spectrum data to the high-gloss data input At the same time, the data on the flatness of the surface of fruits and vegetables evaluated by naked eyes is input to the input end of the visual evaluation data. The fruits and vegetables evaluated by the naked eye and the fruits and vegetables captured by the high-light camera equipment are the same batch of fruits and vegetables. One-to-one correspondence is input into the high-gloss database for calculation, and the high-gloss data evaluation module of fruits and vegetables is obtained. The evaluation module can evaluate the surface quality of the fruits and vegetables targeted by t...

Embodiment 2

[0025] Example 2: Spectral Database

[0026] The spectral database is connected to the input end of the chemical composition database and the input end of the spectral detection data. The input end of the chemical composition data receives the chemical composition and its content data detected by the chemical detection end, and the input end of the spectral detection data receives the spectral data detected by the spectral detection end. The chemical composition data at the input end of the chemical composition data and the spectral detection data at the input end of the spectral detection data are jointly input into the spectral database, and the spectral database is set into a chemical composition calculation model through the chemical composition data and spectral detection data, after the new spectral data is input into the database The chemical composition data are obtained through the calculation of the model.

Embodiment 3

[0027] Embodiment 3: comprehensive judgment system

[0028] The fruit and vegetable quality comprehensive judgment system includes a fruit and vegetable comprehensive quality judgment calculator, which is connected to the high-light database and the spectral database, receives the surface quality data of the high-light database and the chemical quality data of the spectral database, and receives the surface quality data and spectrum from the high-light database. The chemical composition data from the database are jointly calculated to obtain the comprehensive quality of fruits and vegetables, and output through the comprehensive quality output terminal. The high light database is connected to the high light data input terminal, and the high light data input terminal receives the high light data obtained by the high light camera equipment to shoot the fruits and vegetables, and the high light data includes the photos obtained by the high light ratio or the photos and the hypersp...

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Abstract

The invention relates to a fruit and vegetable quality highlight photographing and nondestructive spectral scanning determining system. The invention is characterized in that the system comprises a comprehensive quality determination calculator, wherein the comprehensive quality determination calculator is connected with a highlight database and a spectral database, the spectral database is connected with a spectral detection data input end, the highlight database is connected with a highlight data input end, the comprehensive quality determination calculator is connected with a comprehensive quality output end, the highlight data input end receives fruit and vegetable surface highlight photographed data transmitted by a highlight photographing device, and the spectral detection data input end receives fruit and vegetable spectral data detected by a spectral detection instrument. The system of the invention sufficiently utilizes two data forms, i.e. spectral data and highlight data, and the two kinds of data are obtained by adopting a nondestructive way for fruits and vegetables, so that a result calculated by the system according to the two data can evaluate the internal quality and external quality of the fruits.

Description

technical field [0001] The invention belongs to the field of food testing, and in particular relates to a system for non-destructive testing of food quality, in particular to a system for judging the quality of fruits and vegetables by high-light photography and non-destructive spectral scanning and a method for applying the system. Background technique [0002] At present, there are many non-destructive testing systems for fruits and vegetables, but the general systems are based on a single detection method. [0003] A detection system in the prior art such as CN103048277B discloses a system for non-destructive detection of fruit internal quality by near-infrared spectroscopy, including: a collector and a microcomputer; the collector includes a collection probe and an optical fiber that runs through the collector. Probe; the acquisition probe is provided with an elastic shading pad and a correction wheel; the correction wheel is connected to a stepping motor, and the steppi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/25
CPCG01N21/25
Inventor 朱湘飞刘毅刘法安谭占鳌陈剑杨敏张宇航
Owner SHENZHEN BATIAN ECOTYPIC ENG
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