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Multispectral estimation method of tomato chlorophyll content

A chlorophyll content and multi-spectral technology, applied in the field of crop chlorophyll estimation, to overcome the narrow field of view and solve the effect of image quality degradation

Active Publication Date: 2018-06-22
LANZHOU CITY UNIV
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AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a multi-spectral estimation method for tomato chlorophyll content, to overcome the shortcomings of the existing spectral imaging system, to establish a high-precision chlorophyll estimation model, so that it can effectively deal with complex tomato populations with overlapping leaves

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  • Multispectral estimation method of tomato chlorophyll content
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  • Multispectral estimation method of tomato chlorophyll content

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Embodiment Construction

[0026] refer to figure 1 In the flow chart of the steps shown, the embodiment of the present invention provides a multi-spectral estimation method for tomato chlorophyll content, which takes greenhouse tomato as the research object, and acquires multi-spectral images of crop canopies, extracts leaves with the largest leaf area, and uses reflectance. Reconstruction, multispectral image feature definition and selection, partial least squares modeling, and finally a set of tomato chlorophyll content estimation method is proposed, which includes the following specific steps:

[0027] (1) Put the standard emission plate and the leaves in the same field of view, and use the camera to acquire 8 multispectral images in different bands of the crop canopy in the same scene according to the 8 bands that are sensitive to the chlorophyll content of the crop.

[0028] Among them, the eight bands sensitive to the chlorophyll content of crops are 520, 560, 640, 670, 700, 760, 800 and 870nm re...

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Abstract

The invention relate to a multispectral estimation method of tomato chlorophyll content. The method comprises the following steps: eight multispectral images in different wavebands are acquired according to eight wavebands sensitive to tomato chlorophyll content, wherein the eight bands sensitive to the tomato chlorophyll content are 520, 560, 640, 670, 700, 760, 800 and 870 nm respectively; then,a high-precision tomato chlorophyll estimation model is finally proposed through chlorophyll content determination, extraction of a leaf with the largest leaf area, reflectance reconstruction, multispectral image feature definition and selection, and partial least squares modeling. Even complicated leaf-overlapping tomatoes can be treated better, a higher-precision chlorophyll estimation result is obtained, and a theoretical basis is provided for research of nondestructive, rapid and efficient estimation of the tomato canopy chlorophyll content with the multispectral image technology.

Description

technical field [0001] The invention relates to the technical field of crop chlorophyll estimation, in particular to a method for multispectral estimation of tomato chlorophyll content. Background technique [0002] During the growth of crops, the chlorophyll located in the thylakoid membrane directly affects the metabolic activities and yield formation of crops. It is the main pigment involved in photosynthesis and an important part of nitrogen synthesis in crop leaves. Therefore, chlorophyll content plays an important role in the process of monitoring and analyzing tomato growth status and nutrient level. In practical applications, spectral analysis technology is usually used to detect the chlorophyll content of tomato leaves, because there is a correlation between the chlorophyll content and the spectral reflectance in its growth state. [0003] At present, the use of spectroradiometers such as ASD to obtain the reflectance spectrum information of crop canopies has the d...

Claims

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Application Information

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IPC IPC(8): G01N21/31G06T7/00G06T7/155
CPCG01N21/31G06T7/0012G06T2207/20152G06T2207/30188G06T7/155
Inventor 丁永军张晶晶海波蓝才会朱小军岳建斌姚海龙孟从从
Owner LANZHOU CITY UNIV
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