A high-throughput calculation method for crop plant height

Abstract

The invention provides a high-throughput calculation method for crop plant height. The method comprises the following steps: acquiring a color image, an infrared image and a depth image of a crop sample group; and carrying out image registration on the color image and the depth image, and constructing a point cloud image with color information; extracting crop canopy three-dimensional point cloudaccording to the point cloud image with the color information; extracting a canopy image corresponding to each crop in the crop sample group according to the crop canopy three-dimensional point cloud,and calculating the plant height of each crop through a high-throughput calculation method. According to the embodiment of the invention, the plant height of each pot of crops in the group crops canbe quickly and accurately calculated; Compared with a traditional plant height measuring method which utilizes a ruler, a handheld laser range finder and other devices to manually measure the verticallength from the highest point of a canopy to the root of a plant, the high-throughput calculation of the plant height of the crop is realized, and the method is quicker, simpler and more convenient.Compared with a network camera remote phenotype measurement method, the accuracy of crop plant height measurement is improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of three-dimensional reconstruction of crops and extraction of phenotypic features, and in particular to a high-throughput calculation method for plant height of crops. Background technique [0002] The morphological characteristics reflected in the growth process of crops play an important role in the selection of excellent varieties of crops. Dynamic changes in plant height affect crop yield to varying degrees, and this phenotypic trait is critical to improving crop performance. The traditional plant height measurement method is to manually measure the vertical length from the highest point of the canopy to the root of the plant by using a ruler, a handheld laser rangefinder, etc., which is not only time-consuming and laborious, but also the result is easily affected by the subjective factors of the measurer. Due to the inadequacy of traditional measurement techniques, informatio...

AI Technical Summary

Problems solved by technology

Although handheld laser scanning technology (such as FastSCAN laser scanner, Artec EVA laser scanner) can reconstruct the three-dimensional structure of crop canopy with high precision, the disadvantage is that the acquisition speed is slow

In recent years, based on the analysis of phenotypic parameters of ground objects, spatially high-throughput measurement methods have also been proposed, such as the remote phenotypic measurement method of network cameras. Wide range of fluctuations

[0004] 3D laser scanning and radar technology (for example: FARO Focus3D 120 ground object laser scanning), can quickly and accurately obtain plant canopy point cloud information, but there is a large amount of redundant background information in the 3D point cloud, which requires point cloud screening and other operations to accurately construct the three-dimensional structure of the canopy, and the high price further limits the wide application of this equipment

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