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Agricultural product quality analysis method and analyzer

A technology for quality analysis and agricultural products, applied in the field of spectral analysis, can solve the problems of small amount of calculation and low stability of variable selection

Active Publication Date: 2019-09-20
BEIJING ACADEMY OF AGRICULTURE & FORESTRY SCIENCES
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The present invention is conceived as follows: in view of the current Monte Carlo-variable selection actual work, the parameter setting of the Monte Carlo sampling link has no fixed rules to follow, and only relies on empirical values, which leads to the problem of low stability of variable selection. Sampling method, proposed parameter setting, which minimizes the amount of calculation while ensuring the variables obtained by Monte Carlo sampling achieve high stability

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  • Agricultural product quality analysis method and analyzer

Examples

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Effect test

Embodiment 1

[0083] Example 1 Selection of Stable Key Variables for Cherry Sugar Detection Based on Optimized Parameters

[0084] combine figure 1 The selection of key variables for the stability of cherry sugar detection based on optimized parameters is described.

[0085] The agricultural products used in this example are cherries, preferably the cherries produced in Tongzhou, Beijing; the collected spectrum is near-infrared spectrum, and the DLP technology near-infrared spectrometer is used to collect the experimental data overall. single integration time 50ms; 50 times of accumulation to take the average; wavelength range 901.841nm ~ 1700.930nm, spectral center resolution 8.00nm ~ 12.00nm, preferably 9.36nm, number of spectral variables 128, spectral variable interval 4.882nm ~ 7.883nm , the preferred spectral variable interval is 6.292nm; the quality index is soluble solid content (Soluble Solid Content, SSC), and its unit is Brix (Brix), and a refractometer is used to measure the re...

Embodiment 2

[0135] Example 2 Based on the selected stable key variables, a portable non-destructive rapid analyzer for agricultural product quality was developed and the quality analysis and grading of cherries were carried out

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Abstract

The invention provides an agricultural product quality analysis method and an analyzer. The agricultural product quality analysis method comprises the following steps: acquiring spectral data and measuring reference value data; wherein the data is divided into a correction set and an external verification set; arranging the spectral data and the reference value data into a data matrix, and sampling the data matrix by using a Monte Carlo sampling method; carrying out key variable selection on a data matrix sampling result by adopting a variable selection algorithm, carrying out statistics on the selected frequency of each variable, and sorting; carrying out statistical stability on the high relative frequency variables, screening out stable key variables and establishing a mathematical model; substituting the acquired spectral data of the to-be-detected agricultural product into the mathematical model, and analyzing the quality of the agricultural product according to an operation result. In order to realize the application of the method, an agricultural product quality analyzer is developed, and a result is predicted and output according to stable key variables. According to the method, Monte Carlo sampling parameters are optimized, the operation cost is reduced to the maximum extent while a stable key variable screening result is obtained, and the working efficiency is improved.

Description

technical field [0001] The invention belongs to the field of spectral analysis, and in particular relates to an agricultural product quality analysis method and an analyzer. Background technique [0002] Spectral analysis has the technical characteristics of fast, efficient, non-destructive, and environment-friendly, and has always been an important analysis method in the field of fast and non-destructive analysis. In the field of industrial and agricultural production, multispectral analysis represented by near-infrared spectroscopy has become a popular research field in recent years. Taking near-infrared spectroscopy as an example, because it is caused by the combined and doubled frequency absorption of hydrogen-containing groups, it often presents the characteristics of mixed spectral peaks and the inability to obtain a single characteristic peak of the substance. In view of the above characteristics, traditional spectral analysis often adopts full-spectrum multivariate ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/02G06T7/00G01N21/25G01N21/3563G01N21/359
CPCG01N21/25G01N21/3563G01N21/359G06Q10/06395G06Q50/02G06T7/0002G06T2207/10048
Inventor 王冬韩平王卉贾文珅刘庆菊王世芳马智宏
Owner BEIJING ACADEMY OF AGRICULTURE & FORESTRY SCIENCES
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