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Single-grain fixed-point recognition technology by aiming at different categories of wheat seeds

A wheat seed, fixed-point recognition technology, applied in character and pattern recognition, instruments, computer parts and other directions, to achieve the effect of fixed-point recognition

Inactive Publication Date: 2018-11-02
NORTHEAST DIANLI UNIVERSITY
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

However, machine vision can only capture a single trait of a seed sample

Method used

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  • Single-grain fixed-point recognition technology by aiming at different categories of wheat seeds
  • Single-grain fixed-point recognition technology by aiming at different categories of wheat seeds
  • Single-grain fixed-point recognition technology by aiming at different categories of wheat seeds

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Embodiment

[0031] Sample selection and hyperspectral image data acquisition

[0032] The hybrid wheat seed samples (see Table 1) used in this example are widely planted in the three northeastern provinces of China. Among them, according to the attributes, the six hybrid wheat seeds belong to two major attributes, namely Dongnong Dongmai No. 1 (winter wheat), Dongnong Dongmai No. 2 (winter wheat), Kechun No. 4 (spring wheat), and Kehan ​​No. 16 (spring wheat). , Kenjiu No. 10 (spring wheat) and Longfumai No. 21 (spring wheat). Among them, 100 samples are selected for each variety, and a total of 600 samples are to be tested. The hyperspectral image data of six kinds of hybrid wheat seeds were obtained by using a hyperspectral sorter, and the arrangement of the wheat seeds obtained each time was as follows figure 1 As shown, 8 grains per row, 5 rows at a time. During the hyperspectral image acquisition process, due to various objective conditions, the collected hyperspectral imaging da...

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Abstract

The invention discloses a single-grain fixed-point recognition technology by aiming at different categories of wheat seeds. The technology comprises the following steps that: obtaining the hyperspectral image data of a wheat seed to be identified, and after a black and white correction method is adopted to correct the hyperspectral image, carrying out principal component transformation; selectinga whole grain of wheat seed as a region of interest to extract the average spectrum as the spectral data of a grain sample; adopting a S-G smoothing method to carry out smoothing processing on the spectral data; using a Kennard-Stone method to divide the sample spectral data into a training set and a prediction set at a ratio of 3:2, and adopting a successive projection algorithm to select an optimal waveband for identifying the wheat seeds of different hybrid varieties; constructing a support vector machine model; and inputting an optimal waveband into the established SVM (Support Vector Machine) model, and showing a prediction result by different colors to finish hybrid seed fixed-point recognition. By use of the technology, the online detection of the wheat grains of different hybrid varieties is realized, and single-grain fixed-point recognition is realized.

Description

technical field [0001] The invention relates to the field of seed identification, in particular to a single-grain fixed-point identification technology for different varieties of wheat seeds. Background technique [0002] The purity of seeds is an important indicator to measure the quality of seeds. The purity of the wheat is defined as the proportion of the intended seed contained in the test seed lot. With the wide application of hybridization technology, wheat seed varieties are increasing, and the similarity between varieties is gradually increasing, and it is difficult to distinguish them subjectively. During storage and transportation, different wheat seeds may be mixed together, reducing the purity of the seeds and affecting the traits of hybrid offspring. And unscrupulous businessmen mix seeds of other varieties or unqualified seeds into qualified seeds, causing crop yield reduction and seriously damaging the interests of growers. Traditional seed purity testing m...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/32
CPCG06V10/255G06F18/213G06F18/2135G06F18/2411
Inventor 刘晶晶史铁王晓楠房海瑞门洪
Owner NORTHEAST DIANLI UNIVERSITY
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