Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

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
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A multispectral estimation method for tomato chlorophyll content
  • A multispectral estimation method for tomato chlorophyll content
  • A multispectral estimation method for tomato chlorophyll content

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com