Corn seed variety authenticity identification method and device

Abstract

The embodiment of the invention provides a corn seed variety authenticity identification method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a structure image of a to-be-detected corn seed; wherein the structure image comprises an embryo surface image, an endosperm surface image and an embryo and endosperm mixed image; inputting the structure image of the to-be-detected corn seed into a preset convolutional neural network model, and outputting whether the variety of the to-be-detected corn seed is a target variety or not; wherein the convolutional neural network model is obtained by training based on a structure image of a corn seed sample and a predetermined label of the target variety. According to the embodiment of the invention, the structure image of the to-be-detected corn seed is judged by adopting the preset convolutional neural network model, so that the authenticity of the corn seed variety can be conveniently, quickly, nondestructively identified with high accuracy and low cost, and flexible adjustment can be made according to requirements in practical application.

Description

technical field [0001] The invention relates to the field of agricultural technology, in particular to a method, device, electronic equipment and storage medium for identifying the authenticity of corn seed varieties. Background technique [0002] In all aspects of corn seed production, processing, and sales, the authenticity of the variety plays a very important role. At present, the combination of traditional breeding and molecular breeding technology has accelerated the pace of breeding. At the same time, with the implementation of the integration of breeding, propagation and promotion, the simplification of the corn approval procedure has led to a blowout increase in the number of new corn varieties that have passed the approval in recent years. However, some lawbreakers will take advantage of the opportunity to manufacture and sell fake and inferior seeds with false ones, and some even shoddy and use other varieties of seeds to pretend to be seeds of well-known varietie...

AI Technical Summary

Problems solved by technology

All of the above methods have certain limitations, and cannot be a low-cost, non-destructive, fast, and efficient detection method, nor can they screen the identified samples one by one

[0004] There are more or less problems in the existing methods for identifying the authenticity of varieties, and they can only identify the seeds and cannot be screened. Authenticity identification and screening

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