Corn seed production cluster screening method and device based on double-channel convolutional neural network

A convolutional neural network and neural network technology, which is applied in the field of corn seed production and ear screening, can solve the problems that manual screening is susceptible to subjective influence, large errors, and consumes a lot of manpower and material resources.

Inactive Publication Date: 2020-02-07
CHINA AGRI UNIV
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Problems solved by technology

[0005] Aiming at the current problem that manual selection of ear selection for seed production is slow, consumes a lot of manpower and material resources, and manual screening is easily affecte

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  • Corn seed production cluster screening method and device based on double-channel convolutional neural network
  • Corn seed production cluster screening method and device based on double-channel convolutional neural network
  • Corn seed production cluster screening method and device based on double-channel convolutional neural network

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[0023] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0024] The rapid classification of corn ear targets in high-throughput corn seed production can greatly simplify the operation process of corn seed production, improve the efficiency of corn seed production, and save labor costs. It has important reference value for ensuring the quality of corn seeds and corn ear selection.

[0025] figure 1 It i...

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Abstract

The invention provides a corn seed production cluster screening method and a device based on a double-channel convolutional neural network. The method comprises the following steps: inputting a corn seed production cluster image with a corn seed production cluster type label into a first branch model and a second branch model of a double-channel convolutional neural network in advance; and respectively extracting the characteristic quantities of the corn seed production cluster images and inputting the characteristic quantities into a fusion classification model for fusion and classification,thereby training the double-channel convolutional neural network, and then obtaining the corn seed production cluster types corresponding to the acquired corn seed production cluster images by using the trained double-channel convolutional neural network. According to the method, the advantages of the first branch model and the second branch model can be combined; the classification accuracy of the model is improved, the problems that it is difficult to manually extract deep features of corn ear images and it is difficult to obtain high classification accuracy are effectively solved, the cornseed production operation process is greatly simplified, the corn seed production efficiency is improved, the labor cost is saved, and the method has important reference significance for improving thecorn ear seed production efficiency.

Description

technical field [0001] The invention relates to the technical field of deep learning and image processing, in particular to a method and device for ear screening of corn seed production based on a two-way convolutional neural network. Background technique [0002] As one of the important food crops, maize's yield has a decisive impact on the development of agricultural economy, and the quality of maize seeds is the key factor for the maize yield. As one of the world's largest agricultural countries, increasing corn production is of great significance to my country's economic development. Therefore, planting high-quality corn seeds is an important means to greatly increase my country's corn production and promote agricultural economic development. [0003] The corn seed production process mainly includes bract removal, ear selection, drying, and threshing. In the ear selection process of corn seed production, corn ears with good phenotypic characteristics are selected for thr...

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/68G06N3/045G06F18/254G06F18/214
Inventor 马钦张佳婧刘哲朱德海崔雪莲
Owner CHINA AGRI UNIV
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