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The method of identifying the ripeness of Huanghua pear based on the fast-decaying elimination algorithm and plsda

A mature and huanghuali technology, applied in character and pattern recognition, computing, computer components, etc., can solve the problems of large sample base required for modeling, long training time, and time-consuming and labor-intensive acquisition of sample physical and chemical values. Achieve the effects of easy and fast training, fast running speed, and saving manpower and material resources

Inactive Publication Date: 2019-09-20
CHINA JILIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current identification method of fruit ripeness based on near-infrared spectroscopy requires a large number of samples for modeling, a long training time, and the acquisition of physical and chemical values ​​of a large number of samples is time-consuming and labor-intensive.

Method used

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  • The method of identifying the ripeness of Huanghua pear based on the fast-decaying elimination algorithm and plsda
  • The method of identifying the ripeness of Huanghua pear based on the fast-decaying elimination algorithm and plsda
  • The method of identifying the ripeness of Huanghua pear based on the fast-decaying elimination algorithm and plsda

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Experimental program
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Effect test

Embodiment

[0036] 1. Sample Collection and Spectrum Acquisition

[0037] The tested huanghuali samples were all from Hangzhou Binjiang Fruit Industry Co., Ltd., and the samples were collected one week before the ripening period, during the ripening period, and one week after the ripening period. The three maturity spectra were as follows: figure 2shown. A total of 144 huanghuali samples were numbered, and 108 of them were randomly selected as the calibration set, and the remaining 36 were used as the prediction set. The spectrum acquisition instrument is a German Zeiss spectrometer model MCS600, the spectrum area acquisition range: 190nm-2150nm, and the experiments are all carried out at room temperature. In the experiment, each sample was scanned 12 times at different positions along the equator, using BaSO 4 The slice was used as a reference sample, and its average spectrum was taken. In order to avoid the interference of stray light, a 1.5mm spacer was used to shield light when co...

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Abstract

The invention discloses a method for identifying the maturity of huanghuali pears based on a fast-attenuation elimination algorithm and PLSDA, which comprises the following steps: (1) collecting samples, collecting sample spectra, obtaining sample near-infrared diffuse reflectance spectral data, and using first-order differential (2) Use the fast decay elimination algorithm to filter the characteristic wavelengths of the preprocessed spectral data; (3) Use the partial least squares discriminant method to use the filtered spectrum as the model input, and the corresponding mature The degree is used as the output to establish a partial least squares discriminant analysis model; (4) the quality evaluation of the model is to determine the maturity of the sample to be identified. The invention can quickly identify the maturity of the huanghuali, enriches the chemometric method, and has good application prospects.

Description

technical field [0001] The invention relates to the technical field of infrared non-destructive testing, in particular to a method for identifying the maturity of huanghuali based on a fast decay elimination algorithm and PLSDA. Background technique [0002] Huanghuali is a high-quality pear, and the harvest time has a great influence on the quality of huanghuali. When harvesting, the maturity of huanghuali does not meet the requirements or is overripe, which will result in low fruit quality and unsatisfactory economic benefits. Therefore, timely harvesting can maximize economic benefits. [0003] Modern near-infrared spectroscopy is a fast and non-destructive detection method. Its principle is to absorb the double frequency combination of hydrogen-containing groups X-H in organic matter. The physical and chemical indicators of organic matter are measured by stoichiometric methods. Effective mathematics The algorithm establishes the functional relationship between the phys...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/359G06K9/20G06K9/46
CPCG01N21/359G06V10/143G06V10/56
Inventor 林敏徐微微黄咏梅刘辉军
Owner CHINA JILIANG UNIV
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