Corn plant type identification method and device, electronic equipment and storage medium

Abstract

The invention provides a corn plant type identification method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a field corn plant image, and obtaining an edge image based on the field corn plant image; based on the edge image, disconnecting an annular path of the edge image to obtain an initial path set; removing multi-path connection points corresponding to the field corn plant image based on the initial path set to obtain a path endpoint set; performing quadratic curve fitting on every two endpoints in the path endpoint set in pairs to obtain a target path set; and based on the target path set, determining an included angle between the center line of the corn stalk and the corn vein fitting straight line, and based on the included angle, determining the corn plant type. According to the method provided by the invention, the corn plant type can be automatically judged through the field corn plant image, manual identification is not needed, the plant type data acquisition efficiency and the accuracy of corn plant type judgment are greatly improved, and a support is provided for variety evaluation automation and commercial breeding development.

Description

Technical field [0001] The present invention relates to the field of image recognition, and more particularly to a corn strain type identification method, apparatus, electronic device, and storage medium. Background technique [0002] Corn is the most important food crop in the world. It is divided into compact, semi-compact, flat, compact corn varieties into ideal varieties that are macco-molding, and variety strains. It is of great significance for the breeding and review of corn varieties. [0003] The corn variety is judged by the angle between the blades and stems. It is currently based on manual measurements, background settings, three-dimensional point cloud scan or subjective judgment. Handmade measurement method, field operation labor, one person is difficult to complete; background setting photo, need to set the background curtain back in the corn plant, then take a photo, then graphically divide the graphics, the background setting is cumbersome; three-dimensional poin...

AI Technical Summary

Problems solved by technology

The manual measurement method requires a lot of labor in the field, and it is difficult for one person to complete it; setting up the background to take pictures requires setting up a background curtain behind the corn plants, then taking pictures, and then performing graphic segmentation and plant type judgment. The background setting is cumbersome; 3D point cloud scanning requires A single corn plant is placed in a 3D scanning environment, which is costly and complicated to leave the field, and can only be used in a laboratory environment; subjective judgment is currently the most commonly used method, and observers directly give plant type judgments based on their own experience. large deviation between

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