Gender identification method for chick embryo in near-infrared hatching egg at earlier stage of incubation

A technology of gender identification and near-infrared spectroscopy, which is applied in the field of egg hatching detection, can solve the problems of time-consuming, multiple equipment, and increased risk of egg breakage, etc., and achieve the effect of reducing the cost of hatching operations and high identification efficiency and accuracy

Inactive Publication Date: 2013-12-25
HEILONGJIANG BAYI AGRICULTURAL UNIVERSITY
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Lu Zhinan and Zhao Zongsheng used the fuzzy method, and Yang Dongfeng used the wavelet method to realize empirical discrimination. The production of this metho...

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  • Gender identification method for chick embryo in near-infrared hatching egg at earlier stage of incubation
  • Gender identification method for chick embryo in near-infrared hatching egg at earlier stage of incubation
  • Gender identification method for chick embryo in near-infrared hatching egg at earlier stage of incubation

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Embodiment Construction

[0008] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. A method for identifying the sex of chicken embryos in near-infrared eggs in the early stage of incubation. The method includes the following steps: obtaining the near-infrared spectrum of the eggs through an optical fiber probe and a Fourier near-infrared spectrometer in a darkroom environment, and decomposing the near-infrared spectra of the eggs by using the overall mean empirical model. , to remove high-frequency eigenmode components to achieve denoising; based on the empirical mode decomposition method to decompose the near-infrared spectrum of eggs, remove low-frequency eigenmode components, and achieve baseline correction; use SPSS11.0 to extract principal components, and the default characteristic root value is λ c =1, the number of 5 principal components is extracted, the neural network classification adopts a 3-layer BP neural network with 1 hid...

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Abstract

The invention discloses a gender identification method for a chick embryo in a near-infrared hatching egg at earlier stage of incubation, and belongs to a hatching egg detection technology. The method comprises the following steps: obtaining a near-infrared spectrum of a hatching egg through an optical fiber probe and a Fourier near-infrared spectrometer in a dark room, decomposing the near-infrared spectrum of the hatching egg by an overall mean empirical mode, removing high-frequency characteristic mode components to remove noise, removing low-frequency characteristic mode components by a method based on empirical mode decomposition to achieve baseline correction, extracting main components of spectral data as input variables of a nerve network so as to finish the identification, wherein the output value of the nerve network is 0 or 1. According to the method, the gender identification efficiency and accuracy of the hatching egg at earlier stage of incubation are high, the incubation cost is reduced, and the development of layer chicken and meat chicken feeding production is facilitated.

Description

technical field [0001] The invention belongs to the hatching detection technology of breeding eggs, and mainly relates to a method for identifying the sex of breeding eggs in the early stage of hatching. Background technique [0002] In the poultry industry, because the rooster grows faster than the hen, it is hoped that all broiler eggs are male embryos; in the egg industry, the more female embryos, the better the benefits. Therefore, it is of great significance to develop a method that can predict the sex of chicken embryos in the early stage of incubation, to reduce the labor intensity of manual classification and artificial egg turning, to improve the production efficiency of the incubator and to reduce the electricity cost of incubation. The gender identification of chicken embryos has always been based on production experience, such as weight, aspect ratio, and surface smoothness. Lu Zhinan and Zhao Zongsheng used the fuzzy method, and Yang Dongfeng used the wavelet m...

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Application Information

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IPC IPC(8): G01N21/25
Inventor 赵肖宇宋志远关勇谭峰尚廷义邸国辉杨立刘英楠
Owner HEILONGJIANG BAYI AGRICULTURAL UNIVERSITY
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