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A multispectral estimation method for tomato chlorophyll content

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

Active Publication Date: 2021-03-12
LANZHOU CITY UNIV
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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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  • A multispectral estimation method for tomato chlorophyll content
  • A multispectral estimation method for tomato chlorophyll content
  • A multispectral estimation method for 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 relates to a multi-spectral estimation method for tomato chlorophyll content, comprising: acquiring eight multi-spectral images under different bands according to eight bands sensitive to tomato chlorophyll content; wherein, the eight bands sensitive to tomato chlorophyll content are respectively It is 520, 560, 640, 670, 700, 760, 800 and 870nm; then through the determination of chlorophyll content, the extraction of leaves with the largest leaf area, the reconstruction of reflectance, the definition and selection of multi-spectral image features, and the partial least squares modeling, finally proposed A high-precision tomato chlorophyll estimation model is developed, even in the face of tomato populations with complex overlapping leaves, and a higher-precision chlorophyll estimation result is obtained. The research on estimating tomato canopy chlorophyll content provides a theoretical basis.

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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Patent Type & Authority Patents(China)
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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