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Variety identification method and system based on component structure characteristics

A technology for structural features and varieties, applied in the field of variety identification methods and systems based on component structural features, can solve problems such as identification of varieties without substances, and achieve the effect of improving identification accuracy, objective and reliable identification

Active Publication Date: 2019-11-22
INST OF QUALITY STANDARD & TESTING TECH FOR AGRO PROD OF CAAS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, there is no method to identify the species of the substance by using the composition and structure characteristics of the substance

Method used

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  • Variety identification method and system based on component structure characteristics
  • Variety identification method and system based on component structure characteristics
  • Variety identification method and system based on component structure characteristics

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Experimental program
Comparison scheme
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Embodiment 1

[0038] Such as figure 1 As shown, it is a flow chart of a kind of method for identifying varieties based on component structural features provided by the embodiment of the present invention, which consists of figure 1 It can be seen that the identification method includes the following steps:

[0039]Step S102: Obtain the content data of the target component substances contained in the sample to be identified.

[0040] Here, the samples to be identified may be various plant seeds, various specimens, or other objectively existing objects. A substance is composed of components, and usually a substance contains multiple components. Here, one or more components in the sample to be identified are selected as the target component substance.

[0041] In at least one possible implementation, the internal analysis of the sample to be identified can be achieved by component detection methods, for example, by techniques such as spectroscopy, chromatography, energy spectrum, thermal spe...

Embodiment 2

[0067] In this embodiment, taking the variety identification of rapeseed as an example, the oleic acid component in rapeseed is selected as the target component substance, and the method of variety identification based on the structural characteristics of the components provided in the above-mentioned embodiment 1 is introduced. The process of identifying varieties of different species, in order to understand more clearly the above-mentioned identification method of varieties based on the structural characteristics of components.

[0068] see figure 2 , is a schematic flow chart of the rapeseed variety identification process, wherein the specific steps are as follows:

[0069] First, get the rapeseed standard sample and understand the data background. Here, the data background includes the source of the sample, sampling and detection methods, etc.

[0070] Then, the percentage content of 16 kinds of oleic acid in the standard sample was determined, so as to establish a sampl...

Embodiment 3

[0085] The embodiment of the present invention also provides a variety identification system based on component structure features, see image 3 , is the structural diagram of the system, by image 3 It can be seen that the system includes sequentially connected data acquisition module 41 , component data conversion module 42 , sample index matrix establishment module 43 , new sample index matrix conversion module 44 and variety identification module 45 . Here, the functions of each module are as follows:

[0086] A data acquisition module 41, configured to acquire the content data of the target component substance contained in the sample to be identified;

[0087] Component data conversion module 42, for converting the content data into component data of relative percentage closed structure features;

[0088] A sample index matrix building module 43, configured to build a sample index matrix according to the component data;

[0089] The new sample index matrix conversion m...

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Abstract

The present invention provides a variety identification method and system based on component structure characteristics, and relates to the technical field of variety identification. The method includes obtaining content data of target component substances contained in a sample to be identified; converting the content data into a relative percentage closed structure The component data of the characteristics; the sample index matrix is ​​established according to the component data; the sample index matrix is ​​converted to the Euclidean space to obtain a new sample index matrix; the variety of the sample to be identified is identified according to the new sample index matrix, and the sample index matrix is ​​obtained identification accuracy. The method and system for identifying species based on the structural characteristics of components provided by the embodiments of the present invention can identify material species more objectively and reliably, and effectively improve the accuracy of identification.

Description

technical field [0001] The invention relates to the technical field of variety identification, in particular to a method and system for identifying varieties based on component structure characteristics. Background technique [0002] Variety identification is the process of assessing artificially selected populations with certain regional distribution and compositional characteristics. [0003] Composition data are ubiquitous in reality, such as industrial composition data in economics, rock composition data in geology, population ratio data of each age group, and proportion data of different fatty acid content in oil crops, etc. Compared with conventional data, component data has its own unique advantages in analysis and application, for example: component data can reflect the relative relationship between data and data; the mutual constraint relationship between different index variables in component data can enhance the integrity of model structure , which is conducive t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG06F18/24G06F18/214
Inventor 陈志军刘艳张蕾
Owner INST OF QUALITY STANDARD & TESTING TECH FOR AGRO PROD OF CAAS
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