Watermelon sugar degree rapid modeling method based on secondary spectrum recombination

A modeling method and secondary spectrum technology, applied in the direction of color/spectral characteristic measurement, etc., can solve problems such as large amount of data, weak spectral information, speed limit, etc., to meet high-speed online detection, improve detection efficiency, and increase computing speed Effect

A modeling method and secondary spectrum technology, applied in the direction of color/spectral characteristic measurement, etc., can solve problems such as large amount of data, weak spectral information, speed limit, etc., to meet high-speed online detection, improve detection efficiency, and increase computing speed Effect

CN102937575AActive Publication Date: 2013-02-20浙江德菲洛智能机械制造有限公司

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  • Watermelon sugar degree rapid modeling method based on secondary spectrum recombination
  • Watermelon sugar degree rapid modeling method based on secondary spectrum recombination
  • Watermelon sugar degree rapid modeling method based on secondary spectrum recombination

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Embodiment Construction

[0025] The present invention will be further described below in conjunction with specific implementation examples.

[0026] Taking the visible / near-infrared spectrum of watermelon as an example, after recombining the diffuse transmission spectrum of watermelon, a watermelon sugar content prediction model is established, and the prediction model is analyzed.

[0027] Such as figure 1 As shown in , it is a schematic flow chart of the rapid modeling method for sugar content of watermelon, such as figure 2 As shown, it is the visible / near-infrared diffuse transmission spectrum of the watermelon sample, and the spectral range is 550~1020 nm. Since the signal-to-noise ratio at both ends of the diffuse transmission spectrum is large, the signal-to-noise ratio is removed according to the characteristics of the collected spectral data. For large spectral bands, the visible / near-infrared diffuse transmission spectrum in the wavelength range of 680-1000 nm is selected. In order to en...

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Abstract

The invention discloses a watermelon sugar degree rapid modeling method based on secondary spectrum recombination. The method comprises the following steps: collecting diffuse transmission spectrums of a watermelon, and selecting spectrums of J wavelengths within a high-signal-noise-ratio spectrum range; measuring sugar degree values of the watermelon; adopting a uniformly-spaced extraction spectrum method or a uniformly-spaced average spectrum method to reconstruct new spectrum matrixes, arranging uniformly-spaced points j, enabling j to be no smaller than 1 and no larger than J / 2 and be a positive integer, reconstructing the spectrums of J wavelengths, making comparisons of modeling effects of the new spectrum matrixes, and performing self-adaption optimization of the new spectrum matrixes with the correlation coefficient to be over 0.8; performing spectrum pretreatment on the new spectrum matrixes with the correlation coefficient to be over 0.8; and using diffuse transmission spectrums screened out and the sugar degree values of the watermelon to build a prediction model of the watermelon sugar degree, and achieving on-line detection of the watermelon sugar degree. The watermelon sugar degree rapid modeling method can also be used for detection research of internal quality of other fruits such as sugar degree, acidity and hardness.

Description

technical field [0001] The invention relates to a watermelon sugar content modeling method, in particular to a watermelon sugar content rapid modeling method based on secondary spectral recombination. Background technique [0002] With the development of science and technology and the continuous improvement of people's living standards, people have higher and higher requirements for the appearance, flavor and nutrition of fruits. Traditional fruit internal quality inspection methods are all destructive testing, which cannot meet the development needs of nondestructive inspection and real-time grading of fruit internal quality. [0003] With the development of non-destructive testing technology based on spectral analysis for many years, the price of the instrument has become civilians. Even because this method does not need to use chemical reagents, the detection cost is lower than some traditional national standard methods, and its operation is simple, and it can realize fas...

Claims

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Application Information

Patent Timeline
20 Feb 2013
Publication
CN102937575A
IPC
G01N21/25
Inventors
谢丽娟; 介邓飞