Multispectral estimation method of tomato chlorophyll content

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...

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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