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Training method, measurement method and device of growth performance measurement model

A technology of growth performance and training method, which is applied in the field of animal breeding and can solve the problems of poor accuracy of livestock growth performance and the like

Active Publication Date: 2022-04-22
SHANDONG NEW HOPE LIUHE GROUP +2
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] This application provides a training method, measurement method and device for a growth performance measurement model to solve the technical problem of poor accuracy of current livestock growth performance measurement methods

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  • Training method, measurement method and device of growth performance measurement model
  • Training method, measurement method and device of growth performance measurement model
  • Training method, measurement method and device of growth performance measurement model

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Embodiment Construction

[0053] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0054]As described in the related background technology, the measurement of the growth performance of livestock is done by manual + equipment, relying on manual measurement of livestock at close range with the help of collection equipment, and the livestock need to be driven if necessary. However, artificial methods are prone to inaccurate data due to different manual experience and inconsistent measurement standards, and driving livestock may cause stress reactions in livestock, affecting t...

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Abstract

This application discloses a training method, measurement method and device for a growth performance measurement model. By obtaining the livestock pedigree table and the first individual characteristics of the livestock individual, and according to the livestock pedigree table, a first adjacency matrix is ​​established; for the first adjacency The matrix and the first individual feature are spliced ​​to obtain the first splicing feature, so as to combine the individual characteristics of the individual livestock with the genetic relationship, so as to combine the current status of the individual livestock and the influence of genetic factors on growth performance; finally, based on the first The splicing features are used as model input, and the preset graph neural network model is iteratively trained until the graph neural network model reaches the preset convergence condition, the iteration is stopped, and the growth performance measurement model is obtained, so that the growth performance of livestock can be measured by using the neural network model. Solve the problem of inaccurate measurement results caused by relying on manual work, and at the same time do not need to drive the livestock to avoid the stress response of the livestock.

Description

technical field [0001] The present application relates to the field of animal breeding, in particular to a training method, measurement method and device for a growth performance measurement model. Background technique [0002] The determination of livestock growth performance is of great significance to breeding and fattening, which can provide data basis for the genetic evaluation of individual livestock, the genetic evaluation of group economic traits, the evaluation of the production level of livestock groups, the formulation of breeding planning and the management of livestock farms. . [0003] At present, the measurement of the growth performance of livestock is done manually and equipment, relying on manual measurement of livestock at close range with the help of collection equipment, and the need to drive the livestock if necessary. However, artificial methods are prone to inaccurate data due to different manual experience and inconsistent measurement standards, and...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A01K29/00G06N3/04G06N3/08
CPCA01K29/005A01K15/02
Inventor 刘旭杨帆马文彦
Owner SHANDONG NEW HOPE LIUHE GROUP
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