Method and device for obtaining maize internode phenotypic parameters

Abstract

The embodiments of the present invention provide a method and device for obtaining phenotypic parameters of corn internodes, which belong to the technical field of agricultural informatization. It includes: obtaining images of corn internodes from different perspectives, and constructing a three-dimensional mesh model of corn internodes based on the images; based on the three-dimensional network model, obtaining phenotypic parameters of corn internodes. The method provided by the embodiment of the present invention obtains images of corn internodes under different viewing angles, and constructs a three-dimensional mesh model of corn internodes based on the images. Based on the three-dimensional network model, the phenotypic parameters of maize internodes were obtained. Since the phenotypic parameters of maize internodes can be automatically determined in combination with the three-dimensional network model, the accuracy and efficiency of measuring structures can be improved. In addition, it can also meet the needs of subsequent maize structure-function analysis and genome-phenome association analysis.

Description

technical field [0001] The invention relates to the technical field of agricultural informatization, in particular to a method and a device for obtaining internode phenotypic parameters of maize. Background technique [0002] Corn is one of the most important food crops in my country, with great potential for increasing production. The morphological structure of maize node units is the basic unit of maize plants and canopies. High-throughput and accurate analysis of the morphological structure of maize internodes is of great significance for understanding the morphological construction of maize plant height and the response of maize morphology to the environment. However, since maize internodes are wrapped by leaf sheaths and leaves, it is impossible to directly and automatically measure the phenotypic parameters of maize internodes. Wherein, the phenotypic parameters may include length, diameter, length, circumference, etc. of maize internodes. In related technologies, th...

AI Technical Summary

Problems solved by technology

[0003] Due to the low efficiency of manual measurement, and it is difficult to reflect the change of internode length diameter and circumference with internode length, and corn nodes and internodes are not regular cylinders, the internode length diameter obtained by the method based on monocular images can only reflect the current measurement The parameters of the angle of view, so the related technology has certain errors in measuring the long and short diameters and estimating the circumference

Images