Quantitative detection method for mildewing of three types of aspergillus in rice based on hyperspectral imaging technology

A hyperspectral imaging and detection method technology, applied in the field of rapid non-destructive detection of mold, can solve problems such as poor timeliness, low sensitivity, and complex detection technology operations, and achieve the effects of improving accuracy and simplifying detection steps and processes

Pending Publication Date: 2022-02-01
NANJING UNIV OF FINANCE & ECONOMICS
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Problems solved by technology

[0005] The purpose of the present invention is to provide a method for quantitative detection of three kinds of Aspergillus mildew in rice based on hyperspectral imaging technology, which has the advantages of fast detection speed and good detection effect, and solves the problems of complicated operation, poor timeliness and low sensitivity of existing detection technology

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  • Quantitative detection method for mildewing of three types of aspergillus in rice based on hyperspectral imaging technology
  • Quantitative detection method for mildewing of three types of aspergillus in rice based on hyperspectral imaging technology
  • Quantitative detection method for mildewing of three types of aspergillus in rice based on hyperspectral imaging technology

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[0022] Next, the technical solutions in the embodiments of the present invention will be described in connection with the drawings of the embodiments of the present invention, and it is understood that the described embodiments are merely the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art are in the range of the present invention without making creative labor premise.

[0023] (1) Take 120 rice samples, randomly extract 2 / 3 samples for the construction of sample samples, 1 / 3 is to verify the sample; under room temperature conditions, each sample takes a proper amount of rice on the high spectrum stage, Set the parameters, collect the spectrum data of the sample; take the average value as the high spectrum spectrum data of the modeling sample set and the high spectrum spectrum data of the predicted sample set (see attached figure 1 );

[0024] (...

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Abstract

The invention discloses a quantitative detection method for mildewing of three types of aspergillus in rice based on a hyperspectral imaging technology. The quantitative detection method comprises the steps of: preparation of a rice sample, spectrum acquisition, determination of the number of microbial colonies, correction and extraction of hyperspectral data, and data preprocessing and modeling. The quantitative detection method is simple to operate, high in analysis speed, high in detection precision and low in analysis cost, can nondestructively and quickly detect the colony counts of three common moulds, namely aspergillus flavus, aspergillus niger and aspergillus versicolor, in the rice, and provides a technical support and a theoretical basis rapid and nondestructive detection of rice aspergillus mildew.

Description

Technical field [0001] The present invention relates to the field of rapid non-destructive detection of molds, in particular, to a three kinds of rice mildew modulus detection methods based on high spectroscopy imaging techniques. Background technique [0002] Rice is the staple food of about half the population worldwide, is the most important food crop in Asia. my country is a large country of grain, and the grain supply is related to the people's livelihood. The total output of rice in my country accounts for one third of the total food production. During the planting, harvesting, storage, and transportation, rice is extremely susceptible to pollution of xylomyxin, black matrixin, and variegae, and the rice contaminated by fungi will not only cause serious health. Hazard, will also have huge economic losses. [0003] At present, the traditional rice fungi detection method has a disadvantage that the process is cumbersome, poor timeliness or low sensitivity, and cannot achieve ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/25G06V20/69G06V10/77G06K9/62G06F17/18
CPCG01N21/25G06F17/18G06F18/2135
Inventor 刘强张婉婷丁焱薇任秋涵刘纪伟张崇彬
Owner NANJING UNIV OF FINANCE & ECONOMICS
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