Nondestructive testing method for sugar degree and acidity of fruits based on spectral wavelength optimization

A non-destructive testing and spectral wavelength technology, which is applied to measuring devices, material analysis through optical means, instruments, etc., can solve the problem that high-precision prediction of sugar content and acidity of peaches cannot be realized at the same time, and achieve fast non-destructive and high-precision detection and detection Fast, practical effects

Active Publication Date: 2021-08-17
HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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Problems solved by technology

Therefore, the BP neural network detection method cannot realize the high-precision prediction of the sugar content and acidity of peaches at the same time.

Method used

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  • Nondestructive testing method for sugar degree and acidity of fruits based on spectral wavelength optimization
  • Nondestructive testing method for sugar degree and acidity of fruits based on spectral wavelength optimization
  • Nondestructive testing method for sugar degree and acidity of fruits based on spectral wavelength optimization

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Embodiment Construction

[0043] Taking the golden handsome apple as an example, such as figure 1Shown, a kind of fruit sugar content and acidity non-destructive detection method based on spectral wavelength preferred, comprises the following steps:

[0044] Step 1. Collect fruit sample data, form a set of labeled samples, and use the labeled samples for model training. The labeled sample set consists of two parts, which are (a) the spectral characteristics of the fruit sample, that is, the original near-infrared spectral data of the sample, and (b) the sample label, that is, the actual quality index of the sample that has collected the spectrum, that is, the actual sugar content and acidity of the fruit data;

[0045] a. Raw near-infrared spectrum data collection of fruit samples.

[0046] Select 31 "Golden Handsome" apples purchased from supermarkets without surface damage and defects, and number and mark the four parts of each apple sample that are evenly distributed on the equator; use a USB4000 ...

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Abstract

The invention discloses a nondestructive testing method for sugar degree and acidity of fruits based on spectral wavelength optimization. The nondestructive testing method comprises the steps: 1, collecting a fruit sample spectrum and measuring sugar degree and acidity data; 2, preprocessing the collected spectrum; 3, using a competitive self-adaptive reweighted sampling algorithm CARS to select wavelengths for the preprocessed spectrum based on the sugar degree and acidity data; 4, integrating and screening the characteristic wavelength data matrixes of the sugar degree and the acidity based on a wavelength optimization method to obtain an optimized wavelength data matrix; and 5, establishing a partial least squares PLS model by using the correction set according to the optimal wavelength data matrix and the sugar degree and acidity data, and evaluating a model result through the prediction set. According to the method, the wavelength which is effective for predicting the sugar degree and the acidity at the same time is optimized, the prediction model established based on the optimized wavelength is high in detection efficiency, high in precision and high in practicability, and important reference is provided for rapid nondestructive detection of the sugar degree and the acidity of the fruits at the same time.

Description

technical field [0001] The embodiment of the present invention relates to the technical field of rapid non-destructive detection of fruit internal quality, in particular to a method for non-destructive detection of fruit sugar content and acidity based on spectral wavelength optimization. Background technique [0002] The internal quality of fruit affects consumers' willingness to purchase, and the most important indicators to measure internal quality are sugar content and acidity. The traditional methods of measuring the sugar content and acidity of fruits are all destructive and require a lot of manpower, material and financial resources. [0003] Near-infrared spectroscopy technology has been applied in the detection of fruit internal quality due to its fast and non-destructive advantages. The near-infrared spectrum of fruit samples contains the molecular structure information of its chemical composition, and its composition content and property parameters are also close...

Claims

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Application Information

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IPC IPC(8): G01N21/359G01N21/01
CPCG01N21/359G01N21/01G01N2021/0112
Inventor 崔超远乌云
Owner HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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