Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Visible-light-terahertz-light-based plant health identification method and device

A terahertz and visible light technology, applied in image data processing, instruments, calculations, etc., can solve the problem that the detection of plant lesions is easily affected by external inspection factors

Active Publication Date: 2017-11-24
BEIJING RES CENT FOR INFORMATION TECH & AGRI
View PDF6 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The present invention provides a plant health identification method and device based on visible light-terahertz light to overcome the above problems or at least partially solve the above problems, so as to solve the problem that the existing plant lesion detection is easily affected by external inspection factors and cannot be accurately and quickly , problems identified in real time

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
  • Visible-light-terahertz-light-based plant health identification method and device
  • Visible-light-terahertz-light-based plant health identification method and device
  • Visible-light-terahertz-light-based plant health identification method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] Such as figure 1 As shown in the figure, a plant health discrimination method based on visible light-terahertz light is shown, including:

[0043] S1. Obtain the terahertz water absorption grayscale image of the complete leaf of the plant and the A channel grayscale image of the visible light Lab image;

[0044]S2. Use the adaptive threshold segmentation method to judge whether the terahertz water absorption grayscale image and the A-channel grayscale image of the visible light Lab image are within the grayscale threshold of the healthy leaf grayscale image, and judge based on the corresponding relationship between the leaf imaging results and plant lesions Whether the leaves are diseased;

[0045] S3. Collect the terahertz absorption coefficient spectrum of the virus spores on the diseased leaves to determine the specific disease type of the plant.

[0046] In step S1 of this embodiment, the complete leaf is any leaf in the randomly collected plant, which can represe...

Embodiment 2

[0069] Such as figure 2 As shown in the figure, a plant health discrimination device is shown, including a terahertz instrument 5, a visible light-terahertz light sensor 6 and a PC 4;

[0070] The terahertz instrument 5 is used to generate a terahertz spectral signal;

[0071] The visible light-terahertz light sensor 6 is used to randomly collect the terahertz water absorption grayscale image of the complete leaf of the plant and the visible light Lab image A channel grayscale image, and transmit it to the processor;

[0072] The PC 4 is used to judge whether the leaves are diseased, and collect the terahertz absorption coefficient spectrum of the virus spores to determine the specific disease type of the plant.

[0073] Preferably, it also includes a crop cultivation room 1 for placing the plants 2 to be identified, and the visible light-terahertz light sensor 6 is arranged on the side wall of the crop cultivation room 1 .

[0074] Preferably, the processor includes an ima...

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 provides a visible-light-terahertz-light-based plant health identification method and device. The method comprises: S1, acquiring a terahertz moisture absorption grayscale image and a visible-light Lab image A channel grayscale image of a complete leaf of a plant; S2, determining whether the terahertz moisture absorption grayscale image and the visible-light Lab image A channel grayscale image are in a normal grayscale threshold range by using an adaptive threshold segmentation method and determining whether the leaf is in lesion state based on a corresponding relationship between leaf imaging results and plant lesions; and S3, collecting a terahertz absorption coefficient map of a diseased leaf virus spore and determining a specific lesion type of the plant. According to the invention, on the basis of combination of the special moisture absorption characteristic of the terahertz spectrum, the association characteristic of the plant leaf moisture and the plant health, and the characteristic of association between the plant leaf color and the plant health, the terahertz moisture absorption grayscale image and the visible-light Lab image A channel grayscale image are obtained and whether the two images are in a lesion state is determined, thereby finding out the lesion early.

Description

technical field [0001] The present invention relates to the technical field of plant health monitoring, and more particularly, to a method and device for identifying plant health based on visible light-terahertz light. Background technique [0002] Plant leaves are one of the important indicators for judging the health of plants. During the process of growth and development, plants will be affected by various adverse factors, resulting in diseases. Under the action of these diseases, the process of growth, development and fruiting of plants will be affected, and pathological changes in morphology, physiology and biochemistry will occur. Generally, these changes will appear on the leaves. Experienced farmers can judge whether the plants are diseased or not by observing the color and shape of the leaves. [0003] Using leaf characteristics to judge plant lesions, although there are some studies, has not yet been popularized in the market. The methods currently used mainly in...

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 Applications(China)
IPC IPC(8): G06T7/11G06T7/136G06T5/40G06T5/10
CPCG06T5/10G06T5/40G06T7/11G06T7/136G06T2207/30188
Inventor 李斌李银坤杨小冬洪昊星
Owner BEIJING RES CENT FOR INFORMATION TECH & AGRI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products