Leaf area vertical distribution information extraction method

A vertical distribution and information extraction technology, applied in the field of agricultural remote sensing, which can solve the problems of difficult to penetrate the crop canopy, laborious plants, and inability to express the distribution of leaves in the canopy.

Inactive Publication Date: 2016-08-31
CHINA AGRI UNIV
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Problems solved by technology

Among them, although the direct measurement method has high measurement accuracy, it needs to manually harvest and measure the area of ​​all leaves, so it can only be measured at limited points, which is time-consuming, laborious and destructive to the plant itself. The measurement of large-scale structural properties in large areas is unrealistic, so it is often used as a correction and verification of indirect measurement methods
Indirect measurement methods include indirect contact measurement using optical instruments and

Method used

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Embodiment Construction

[0043] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but should not be used to limit the scope of the present invention.

[0044] figure 1 For the flow chart of extracting the vertical distribution information of corn leaf area proposed by the present invention, the content includes the following steps:

[0045] S1. According to the laser radar, obtain the three-dimensional point cloud of the corn plant, and perform multi-site cloud registration;

[0046] S2. Calculate the normal of the corn plant echo point cloud, calculate the normal difference method, and use the clustering operation to obtain the corn leaf echo point cloud;

[0047] S3. Voxelize the corn leaf echo point cloud, and determine the attribute of the voxel according to the transmission path of the laser in the voxel;

[0048]S4, corn plant is layered according t...

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Abstract

The invention discloses a leaf area vertical distribution information extraction method for a corn plant. The method comprises the steps of utilizing a laser radar as a data source, identifying a corn leaf echo point cloud by means of a normal-based differential method; voxelizing a corn plant echo point cloud, and extracting leaf area vertical distribution information by means of a canopy analysis method. The leaf area vertical distribution information extraction method has advantages of quickly and accurately extracting leaf area vertical distribution information of the corn plant, simplifying a corn plant structure parameter extracting process, improving automatic degree and furthermore realizing no damage of the corn leaf.

Description

technical field [0001] The invention relates to the technical field of agricultural remote sensing, and more specifically relates to a method for extracting vertical distribution information of corn leaf area. Background technique [0002] The vertical distribution of crop leaf area is one of the important parameters in the field of agricultural remote sensing theorem inversion research, crop mechanism model research, and crop genetics and breeding. Leaf is an important carrier of photosynthesis and other physiological processes of plants. Accurate and quantitative description of the vertical distribution of leaves is of great significance for crop growth monitoring, potential disaster stress monitoring, yield estimation, and genetic effect analysis. [0003] At present, the commonly used methods for extracting the vertical distribution information of crop leaf area in agricultural applications can be roughly divided into two categories: direct measurement methods and indire...

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Application Information

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IPC IPC(8): G01B11/28
CPCG01B11/28
Inventor 苏伟朱德海张晓东黄健熙刘哲郭皓张明政
Owner CHINA AGRI UNIV
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