Mango quality nondestructive detection method and mango quality nondestructive detection apparatus

A non-destructive testing, mango technology, applied in the measurement device, the use of optical devices, color/spectral characteristic measurement and other directions, can solve the problems of noise interference, affecting the efficiency and accuracy of detection, to improve accuracy, eliminate human subjective factors, The effect of a high degree of automation

Inactive Publication Date: 2015-11-18
GUANGXI TEACHERS EDUCATION UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, near-infrared spectroscopy technology cannot collect the spatial information of the measured object, and can only be detected in one area, which may cause large errors, and is easily affected by environmental factors (such as temperature and humidity) and may bring A large amount of noise interferes with information, which affects the efficiency and accuracy of detection

Method used

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  • Mango quality nondestructive detection method and mango quality nondestructive detection apparatus
  • Mango quality nondestructive detection method and mango quality nondestructive detection apparatus
  • Mango quality nondestructive detection method and mango quality nondestructive detection apparatus

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Experimental program
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Embodiment 1

[0049] This method comprises two general steps, one is the training modeling process 101 of the sample and the mango detection process 102, then the result obtained in 102 is substituted into the model generated by the 101 process to obtain specific detection results, and the specific process is as follows:

[0050] (1) Manually select a batch of mature mangoes of a certain variety as training samples according to the relevant national or industry mango quality standards, and manually mark the quality of these mangoes, and select 30 mango samples for each quality category;

[0051] (2) Use the hyperspectral imaging system to collect spectral data information and image information of mango; and use the odor sensor of the bionic electronic nose system to collect the odor response spectrum data information volatile from mango;

[0052] (3) Spectral data preprocessing, including data curve black and white correction and Savitzky-Golay convolution smoothing method (for more details ...

Embodiment 2

[0066] like figure 1 Shown the present invention also provides a kind of mango quality non-destructive testing device, comprising:

[0067] A device for collecting mango spectral information;

[0068] A unit for processing spectral information;

[0069] A unit for extracting spectral information;

[0070] Mango image information acquisition device;

[0071] A unit for processing the collected mango image information;

[0072] A unit for further extracting processed mango image information;

[0073] bionic electronic nose device;

[0074] A device for extracting odor information collected by a bionic electronic nose;

[0075] A unit that fuses the processed and extracted hyperspectral and odor information with multi-source information features;

[0076] Mango quality multi-source information fusion evaluation model building unit;

[0077] A control unit for the input and output of data between the various units;

[0078] Mango quality judgment result output unit.

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Abstract

The present invention discloses a multi-source information fusion mango internal and external quality intelligent automatic detection method and a multi-source information fusion mango internal and external quality intelligent automatic detection apparatus. The apparatus comprises an illumination system, a hyperspectral imaging system, a bionic electronic nose system and an analysis treatment and control unit. According to the present invention, with the apparatus, the information collected by various separated sensors are subjected to reasonable screening and optimal combination to carry out fault tolerance and complementation so as to carry out comprehensive decision making, such that the discrimination precision and the effectiveness of the whole fusion system are improved so as to establish the automatic evaluation system with characteristics of high precision, high robustness, objective property and rapidness; and with the detection method and the detection apparatus, the detection result consistency of is good, the automation degree is high, the non-contact type non-destructive detection can be achieved, the labor can be released, the human subjective factors can be eliminated, the production efficiency can be improved, and the production cost can be reduced.

Description

technical field [0001] The invention relates to an intelligent automatic detection method and device for fruit quality. Background technique [0002] At present, there are relatively few researches and results on post-harvest automatic detection and processing of mangoes at home and abroad. Especially in mango defect detection, it mainly depends on human eyes. For this reason, how to fully explore and dig out scientific methods to intelligently and automatically extract, analyze and comprehensively evaluate various quality characteristic information of mangoes, and judge the quality level of mangoes is an important method to use modern technology to improve post-harvest processing of mangoes. [0003] Due to the rapid development of computer technology and electronic technology, the development of fruit external quality detection technology has become increasingly mature. Photoelectric grading based on computer vision has been widely used in the field of fruit external qual...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/25G01N27/00G01B11/00
Inventor 彭昱忠元昌安
Owner GUANGXI TEACHERS EDUCATION UNIV
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