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

Method for monitoring plant growth by using unmanned aerial vehicle with multispectral light source

A multi-spectral light source and plant growth technology, which is applied in the field of plant growth monitoring using drones to carry multi-spectral light sources, can solve the problems of time-consuming and labor-consuming plant growth monitoring technology, and low monitoring accuracy, and achieve a simple and easy monitoring method operation, save manpower, and reduce the effect of error rate and complexity

Inactive Publication Date: 2017-04-26
上海复展智能科技股份有限公司 +1
View PDF6 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a method for plant growth monitoring using a multi-spectral light source carried by an unmanned aerial vehicle to solve the problems that the current plant growth monitoring technology is time-consuming and labor-intensive, and the monitoring accuracy is not high

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
  • Method for monitoring plant growth by using unmanned aerial vehicle with multispectral light source
  • Method for monitoring plant growth by using unmanned aerial vehicle with multispectral light source
  • Method for monitoring plant growth by using unmanned aerial vehicle with multispectral light source

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] Example 1: figure 1 It is a flow chart of a method for monitoring plant growth using a multispectral light source carried by an unmanned aerial vehicle of the present invention. In this embodiment, rice planted in the field is taken as an example to specifically describe the process steps of the whole plant growth monitoring.

[0034] The first step is the selection of multi-spectral standard light source.

[0035] The characteristic wavelengths of rice are 491 nm, 545 nm, and 676 nm, respectively. Taking these three values ​​as the peak wavelengths of narrow-band colored light, standard blue LEDs, standard green LEDs, standard red LEDs, and standard full-spectrum white LEDs are selected as the multi-spectrum wavelengths. Standard light source combination.

[0036] The second step is to establish the rice spectral database.

[0037] The color coordinates and reflection spectra of 100 healthy rice leaves, 100 diseased rice leaves and 100 aging rice leaves were collect...

Embodiment 2

[0042] Example 2: figure 2 It is a working schematic diagram of using a drone to carry a multispectral light source and an area array CCD spectral imager to monitor plant growth in the present invention. Such as figure 2 As shown, the UAV 1 carries a multi-spectral light source 2 and an area array CCD spectral imager 3 and flies above the field 6, flies and hovers according to the set route and position, and takes pictures of the plants 7 and stores information. A charging pile 4 is arranged around the field 6, and the charging pile 4 stores a supporting battery 5 for the drone. When the power detection device of the UAV 1 detects that the battery power of the UAV 1 is lower than 10%, the UAV 1 will automatically detect and locate, fly to the vicinity of the charging pile 4, and automatically replace the supporting battery 5 .

[0043] image 3 It is a schematic diagram of the scanning coverage area of ​​the area array CCD spectral imager of the present invention. 3-1 is...

Embodiment 3

[0045] Embodiment 3: The method mentioned in the present invention can also be applied in plant factories.

[0046] In the plant factory, the plants planted have fixed red and blue LED combination light sources. Therefore, when monitoring the growth status of plants in a plant factory, first of all, turn off the blue LED and turn on the red LED, and the UAV 1 only carries the area array CCD spectral imager 3 to scan and shoot, and store information such as images, color coordinates, and reflection spectra. . Secondly, turn off the red LED, turn on the blue LED, scan and shoot again, and store relevant information. Finally, compare and analyze the information stored when a single red LED and a single blue LED are irradiated with the spectral information irradiated by the corresponding light source in the plant database to confirm the growth status of the plant and issue an analysis report. In this case, there is no need to choose a combination of multi-spectral light sources,...

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

PropertyMeasurementUnit
wavelengthaaaaaaaaaa
Login to View More

Abstract

The invention specifically provides a method for monitoring plant growth by using an unmanned aerial vehicle with a multispectral light source, belonging to the technical field of monitoring of plant growth. The method comprises the following steps: determining the characteristic wavelengths of plants according to the species of the plants and selecting a corresponding standard narrowband colored light combination as a standard multispectral light source; irradiating the plants with the standard multispectral light source, acquiring information like the chromaticity coordinates and reflection spectra of the plants of different species and establishing a plant spectrum database; controlling the unmanned aerial vehicle to shoot a detected plant by using an area-array CCD spectral imager and to store information; and comparing the information of the shot detected plant with information like the chromaticity coordinates and reflection spectra of leaves of a plant of a same species in the plant spectrum database so as to analyze the growth condition of detected leaves. According to the invention, the unmanned aerial vehicle carries the multispectral light source and the area-array CCD spectral imager for monitoring, so the coverage area of a single scanning is great and measuring precision is high; the unmanned aerial vehicle is simple in flight route, easy to control and low in cost; thus, the method is applicable to monitoring of plant growth during current agricultural plantation in fields, greenhouses, plant factories, etc.

Description

technical field [0001] The invention belongs to the technical field of plant growth monitoring, and in particular relates to a method for monitoring plant growth by using an unmanned aerial vehicle to carry a multispectral light source. Background technique [0002] With the development of the national economy and the introduction of agricultural incentive policies, the state has paid more attention to the increase of agricultural harvest. At present, my country's agricultural production capacity is huge, and the monitoring of the quality of crops and the health of plants has become a huge project under the huge production capacity. In the past, people generally used artificial visual methods to monitor whether the quality of crops was qualified and whether the growth of plants was healthy, but this method was too labor-intensive and time-consuming, and when the plants were detected to be unhealthy, the plants had already exhibited symptoms, which was not conducive to timely...

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): G01N21/17
CPCG01N21/17G01N2021/1748G01N2021/1797
Inventor 李福生高丹韩秋漪刘佳张善端
Owner 上海复展智能科技股份有限公司
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