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Method for discriminating corn haploid kernels based on near-infrared spectrum technology

A near-infrared spectroscopy and haploid technology, which is applied in the application field of computer and optical technology, can solve problems such as strong correlation, and achieve the effects of removing correlation, improving algorithm efficiency, and reducing data feature dimension.

Inactive Publication Date: 2017-08-11
INST OF SEMICONDUCTORS - CHINESE ACAD OF SCI
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Problems solved by technology

Center normalization or Standard normalization is the commonly used feature normalization processing method at present, but there is still a strong correlation between the features of this method after feature processing.

Method used

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  • Method for discriminating corn haploid kernels based on near-infrared spectrum technology
  • Method for discriminating corn haploid kernels based on near-infrared spectrum technology
  • Method for discriminating corn haploid kernels based on near-infrared spectrum technology

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Embodiment Construction

[0045] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be understood that what is described here is only a part of the embodiments of the present invention, and all other embodiments obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0046] figure 1 and figure 2 It is the method flowchart of the corn haploid grain identification method based on the near-infrared spectroscopy technology provided by the embodiment of the present invention. For the convenience of description, only the parts related to the embodiment of the present invention are shown. The identification method is mainly composed of spectral features. Normalization, spectral feature dimensionality reduction and sp...

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Abstract

The invention discloses a method for discriminating corn haploid kernels based on a near-infrared spectrum technology. The method comprises the following steps of: reading into an original spectrum file and acquiring spectrum intensity data; dividing data sets; carrying out feature normalization on spectrum data; adopting a partial least-squares regression method to reduce the dimensionality; adjusting parameters of a neural network classifier; carrying out fine adjustment and performance evaluation on the neural network classifier; and storing the parameters of the neutral network. The method disclosed by the invention has the advantages that the corn haploid kernels can be identified from heterozygote kernels, and simultaneously higher correct discrimination rate and model stability are ensured.

Description

technical field [0001] The invention belongs to the application field of computer and optical technology, and in particular relates to a method for identifying haploid corn grains based on near-infrared spectrum technology. Background technique [0002] Maize haploid kernel identification is a new technical field of computer and spectral applications. Since the maize haploid kernel has a very low production rate in the seed cultivation process, usually less than 10%, manual screening of maize haploid kernels is time-consuming exhausting. Therefore, the purpose of applying near-infrared spectroscopy and computer technology is to use the method of pattern identification to realize the computer-aided haploid grain screening function, so as to realize automatic seed selection and achieve the effect of optimizing agriculture. [0003] The maize haploid identification technology based on near-infrared spectroscopy, such as using the diffuse transmission method to obtain the grain...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/359G01N21/3563
CPCG01N21/359G01N21/3563
Inventor 李卫军林剑楚覃鸿于丽娜
Owner INST OF SEMICONDUCTORS - CHINESE ACAD OF SCI
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