CN109507070A - Detect the method and device of Droplet deposition - Google Patents
Detect the method and device of Droplet deposition Download PDFInfo
- Publication number
- CN109507070A CN109507070A CN201811231087.8A CN201811231087A CN109507070A CN 109507070 A CN109507070 A CN 109507070A CN 201811231087 A CN201811231087 A CN 201811231087A CN 109507070 A CN109507070 A CN 109507070A
- Authority
- CN
- China
- Prior art keywords
- droplet
- deposition
- target
- grayscale image
- image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000008021 deposition Effects 0.000 title claims abstract description 51
- 238000000034 method Methods 0.000 title claims abstract description 29
- 230000007704 transition Effects 0.000 claims abstract description 25
- 238000000151 deposition Methods 0.000 claims description 48
- 238000001514 detection method Methods 0.000 claims description 17
- 238000004891 communication Methods 0.000 claims description 9
- 238000000605 extraction Methods 0.000 claims description 9
- 238000003860 storage Methods 0.000 claims description 8
- 238000013507 mapping Methods 0.000 claims description 6
- 239000003595 mist Substances 0.000 claims description 5
- 230000011218 segmentation Effects 0.000 claims description 4
- 230000001052 transient effect Effects 0.000 claims description 4
- 238000001914 filtration Methods 0.000 claims description 3
- 238000003709 image segmentation Methods 0.000 claims description 3
- 238000004590 computer program Methods 0.000 claims description 2
- 230000009466 transformation Effects 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 abstract description 9
- 238000012360 testing method Methods 0.000 abstract description 7
- 239000000575 pesticide Substances 0.000 abstract description 5
- 238000004364 calculation method Methods 0.000 abstract description 4
- 238000011161 development Methods 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 6
- 239000007921 spray Substances 0.000 description 5
- 239000000284 extract Substances 0.000 description 4
- 239000011521 glass Substances 0.000 description 4
- 230000018109 developmental process Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- 238000009826 distribution Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000010828 elution Methods 0.000 description 1
- 230000002401 inhibitory effect Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000007620 mathematical function Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000011946 reduction process Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000005507 spraying Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/04—Investigating sedimentation of particle suspensions
Landscapes
- Chemical & Material Sciences (AREA)
- Dispersion Chemistry (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Image Processing (AREA)
Abstract
The embodiment of the present invention provides a kind of method and device for detecting Droplet deposition.This method comprises: carrying out grey transitions to natural droplet image, droplet grayscale image is obtained, droplet grayscale image includes droplet part and background parts;Droplet part and background parts are split, droplet part is obtained;It is extracted by feature of the gray value space to droplet part, obtains target droplet;The volume for calculating target droplet, using the volume of target droplet as the deposition of droplet.The embodiment of the present invention obtains droplet grayscale image by the way that nature droplet image is carried out grey transitions;And droplet grayscale image is split, obtain droplet part;It is extracted again by feature of the gray value space to droplet part, obtains target droplet;The volume of target droplet is obtained by calculation, and using the volume of target droplet as the deposition of droplet.It can fast and accurately detect the deposition of droplet, improve worker productivity, promote the development of pesticide application intelligent testing technology.
Description
Technical field
The present embodiments relate to digital image processing techniques fields, more particularly to the method and dress of detection Droplet deposition
It sets.
Background technique
China is large agricultural country, and the sprinkling of pesticide is to agricultural plant protection link important role.Spray effect is mainly from mist
Distributing homogeneity, coverage rate and deposition of drop etc. are evaluated.It is spraying for grasping to the intellectualized detection of spray effect
The distribution character of droplet timely and effectively controls and adjusts spray process important in inhibiting.Therefore, for the intelligence of spray effect
The demand that detection method and device can be changed is increasingly urgent to.
The method of existing detection Droplet deposition, which mainly has, carries out two kinds of detection based on optics and water-sensitive test paper.Optics inspection
Survey method expensive equipment, it is complicated for operation time-consuming.The detection method of water-sensitive test paper sample is using the side such as microscope or elution
Method, leaving a trace on water-sensitive test paper to the droplet after sprinkling, carried out measurement is time-consuming and laborious, accuracy is low.
Summary of the invention
The embodiment of the present invention provides a kind of detection droplet for overcoming the above problem or at least being partially solved the above problem
The method and device of deposition.
In a first aspect, the embodiment of the present invention provides a kind of method for detecting Droplet deposition, comprising: to natural droplet image
Grey transitions are carried out, obtain droplet grayscale image, droplet grayscale image includes droplet part and background parts;To droplet part and back
Scape part is split, and obtains droplet part;It is extracted by feature of the gray value space to droplet part, obtains target mist
Drop;The volume for calculating target droplet, using the volume of target droplet as the deposition of droplet.
Second aspect, the embodiment of the present invention provide a kind of device for detecting Droplet deposition, comprising: transition module is used for
Grey transitions are carried out to natural droplet image, obtain droplet grayscale image, droplet grayscale image includes droplet part and background parts;
Divide module, for being split to droplet part and background parts, obtains droplet part;Extraction module, for passing through gray scale
Value space extracts the feature of droplet part, obtains target droplet;Computing module, for calculating the volume of target droplet,
Using the volume of target droplet as the deposition of droplet.
The third aspect, the embodiment of the present invention provides a kind of electronic equipment, including memory, processor and is stored in memory
Computer program that is upper and can running on a processor, processor realize the detection Droplet deposition of first aspect when executing program
Method the step of.
Fourth aspect, the embodiment of the present invention provide a kind of non-transient computer readable storage medium, are stored thereon with calculating
Machine program, when which is executed by processor the step of the method for the detection Droplet deposition of realization first aspect.
The embodiment of the present invention obtains droplet grayscale image by the way that nature droplet image is carried out grey transitions;And to droplet ash
Degree figure is split, and obtains droplet part;It is extracted again by feature of the gray value space to droplet part, obtains target mist
Drop;The volume of target droplet is obtained by calculation, and using the volume of target droplet as the deposition of droplet.It can be quick, quasi-
The true deposition for detecting droplet improves worker productivity, promotes the development of pesticide application intelligent testing technology.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the flow diagram of the method for detection Droplet deposition provided in an embodiment of the present invention;
Fig. 2 is the structural schematic diagram of the device of detection Droplet deposition provided in an embodiment of the present invention;
Fig. 3 is the entity structure schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
Fig. 1 is the flow diagram of the method for detection Droplet deposition provided in an embodiment of the present invention.As shown in Figure 1, should
Detection Droplet deposition method include:
Step 11, grey transitions are carried out to natural droplet image, obtains droplet grayscale image, droplet grayscale image includes droplet
Part and background parts;
Step 12, droplet part and background parts are split, obtain droplet part;
Step 13, it is extracted by feature of the gray value space to droplet part, obtains target droplet;
Step 14, the volume of target droplet is calculated, and using the volume of target droplet as the deposition of droplet.
Specifically, step 11 obtains natural droplet image to be detected.Natural droplet image is obtained by the means such as take pictures
The natural image comprising droplet and background taken.For example, on a glass by droplet to be measured sprinkling, and take pictures to it,
The image comprising droplet and glass plate background obtained.By certain grey transitions technology, ash is carried out to natural droplet image
Degree transformation, obtains droplet gray value.Obtained droplet grayscale image is also made of droplet part and background parts accordingly.
Step 12, in the droplet grayscale image obtained in step 11 droplet part and background parts, be split.By
Droplet part in droplet grayscale image is different with the gray value of background parts, according to the difference of the two gray value, using cluster
Droplet part and background parts can be split by method etc..As a kind of optional embodiment, to droplet part and background
Part is split, comprising: is used K-means mean value image segmentation, is split to droplet part and background parts.
Step 13, the feature for carrying out the droplet part of over-segmentation with background parts in step 12 is extracted.Using ash
Angle value space carries out feature extraction to droplet part, will propose that obtained feature is combined, obtains the grayscale image of droplet part,
As target droplet.
Step 14, the deposition of droplet refers to the amount of sprayed droplet, can be characterized with the volume of droplet.
The volume of target droplet is calculated by volume and the mapping relations of deposition, obtained target droplet volume will be calculated and made
For the deposition of droplet.
The embodiment of the present invention obtains droplet grayscale image by the way that nature droplet image is carried out grey transitions;And to droplet ash
Degree figure is split, and obtains droplet part;It is extracted again by feature of the gray value space to droplet part, obtains target mist
Drop;The volume of target droplet is obtained by calculation, and using the volume of target droplet as the deposition of droplet.It can be quick, quasi-
The true deposition for detecting droplet improves worker productivity, promotes the development of pesticide application intelligent testing technology.
On the basis of the above embodiments, as a kind of optional embodiment, the volume of target droplet is calculated, comprising: meter
Calculate the area of target droplet;By the area of target droplet, substitutes into area mapping equation and calculated, obtain the body of target droplet
Product.
Specifically, after extracting by feature of the gray value space to droplet part, target droplet is obtained.By certain
Calculation method the profile of target droplet is calculated, the area of available target droplet.For example, mathematical function is called,
According to the profile of target droplet, the area of target droplet can be calculated.By the area of target droplet, it is public to substitute into area mapping
The volume of target droplet corresponding with the area of target droplet can be calculated in formula.
The embodiment of the present invention, which passes through, is first calculated the area of target droplet, further according to area mapping equation, obtains and mesh
The volume for marking the corresponding target droplet of area of droplet, can simply and quickly calculate the volume of target droplet.
On the basis of the above embodiments, as a kind of optional embodiment, grey transitions are carried out to natural droplet image,
After obtaining droplet grayscale image, further includes: be modified using gray-level histogram equalization to droplet grayscale image.
Specifically, highest preset value and minimum predetermined value are set.The gray value in each region in droplet grayscale image is sieved
Choosing filters out the region that gray value is lower than lowest gray value higher than highest preset value or gray value;And the area that will be filtered out
Original gray value in domain, is replaced with the average gray value of droplet grayscale image.And then it eliminates in droplet grayscale image in gray scale too
Dark or too bright influence factor.
The embodiment of the present invention is modified droplet grayscale image by using gray-level histogram equalization, so that droplet gray scale
The distribution of gray value in figure is more uniform, is split convenient for the later period to droplet grayscale image.
On the basis of the above embodiments, it is also wrapped before being split to droplet grayscale image as a kind of optional embodiment
It includes: droplet grayscale image being handled using median filtering.
Specifically, since there are some disturbing factors in droplet grayscale image, before being split to droplet grayscale image
It needs to carry out noise reduction process.Median filter process is carried out to droplet grayscale image, the noise in droplet grayscale image is greater than default
It is eliminated apparent isolated with the gray value in the average value of the gray value region put around the pixel in the region in the region of value
Noise spot filters out noise.
The embodiment of the present invention is handled droplet grayscale image by using median filtering.It can remove in droplet grayscale image
Disturbing factor, can be improved Droplet deposition detection accuracy.
Fig. 2 is the structural schematic diagram of the device of detection Droplet deposition provided in an embodiment of the present invention.As shown in Fig. 2, should
Device includes transition module 1, segmentation module 2, extraction module 3 and computing module 4;Wherein:
Transition module 1 obtains droplet grayscale image, droplet grayscale image packet for carrying out grey transitions to natural droplet image
It includes, droplet part and background parts;
Divide module 2, for being split to droplet part and background parts, obtains droplet part;
Extraction module 3 obtains target droplet for extracting by feature of the gray value space to droplet part;
Computing module 4, for calculating the volume of target droplet, using the volume of target droplet as the deposition of droplet.
Specifically, transition module 1 obtains natural droplet image to be detected.Natural droplet image is by the means such as take pictures
The natural image comprising droplet and background obtained.For example, on a glass by droplet to be measured sprinkling, and it is clapped
According to the image comprising droplet and glass plate background of acquisition.Transition module 1 is by certain grey transitions technology, to natural fog
It drips image and carries out grey transitions, obtain droplet gray value.Obtained droplet grayscale image is also accordingly by droplet part and background portion
It is grouped as.
Divide module 2, in the droplet grayscale image obtained of transition module 1 droplet part and background parts, divided
It cuts.Since the droplet part in droplet grayscale image is different with the gray value of background parts, divide module 2 according to the two gray value
Droplet part and background parts can be split by difference using clustering method etc..For example, segmentation module 2 uses K-
Means mean value image segmentation, is split droplet part and background parts.
Extraction module 3 carries out the feature of the segmentation module 2 droplet part obtained that over-segmentation is carried out with background parts
It extracts.Extraction module 3 carries out feature extraction to droplet part using gray value space, will propose that obtained feature is combined,
The grayscale image of droplet part is obtained, as target droplet.
Computing module 4 calculates the volume of target droplet by the mapping relations of droplet area to volume, will count
Calculate deposition of the obtained target droplet volume as droplet.
As a kind of optional embodiment, the device of Droplet deposition is detected, further includes: camera module, camera module are used
It is shot in droplet, obtains nature droplet image.
As a kind of optional embodiment, the device of Droplet deposition is detected, further includes: communication device, communication device are used
In the deposition of droplet is sent to droplet detection system.
Nature droplet image is carried out grey transitions by transition module by the embodiment of the present invention, obtains droplet grayscale image;And
Droplet grayscale image is split by dividing module, obtains droplet part;Again by extraction module to the feature of droplet part
It extracts, obtains target droplet;By computing module, the volume of target droplet is calculated, the volume of target droplet is made
For the deposition of droplet.It can fast and accurately detect the deposition of droplet, improve worker productivity, promote pesticide spray
Apply the development of intelligent testing technology.
Fig. 3 is the entity structure schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention.As shown in figure 3, the electronics
Equipment includes: processor (processor) 310,320, memory communication interface (Communications Interface)
(memory) 330 and communication bus 340, wherein processor 310, communication interface 320, memory 330 pass through communication bus 340
Complete mutual communication.Processor 310 can call the logical order in memory 330, to execute following method: to nature
Droplet image carries out grey transitions, obtains droplet grayscale image, droplet grayscale image includes droplet part and background parts;To droplet
Part and background parts are split, and obtain droplet part;It is extracted, is obtained by feature of the gray value space to droplet part
Obtain target droplet;The volume for calculating target droplet, using the volume of target droplet as the deposition of droplet.
In addition, the logical order in above-mentioned memory 330 can be realized by way of SFU software functional unit and conduct
Independent product when selling or using, can store in a computer readable storage medium.Based on this understanding, originally
Substantially the part of the part that contributes to existing technology or the technical solution can be in other words for the technical solution of invention
The form of software product embodies, which is stored in a storage medium, including some instructions to
So that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation of the present invention
The all or part of the steps of example method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-
Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can be with
Store the medium of program code.
The embodiment of the present invention provides a kind of non-transient computer readable storage medium, the non-transient computer readable storage medium
Matter stores computer instruction, which makes computer execute the side for detecting Droplet deposition provided by above-described embodiment
Method, for example, grey transitions are carried out to natural droplet image, obtain droplet grayscale image, droplet grayscale image includes droplet part
And background parts;Droplet part and background parts are split, droplet part is obtained;By gray value space to droplet part
Feature extract, obtain target droplet;The volume for calculating target droplet, using the volume of target droplet as the deposition of droplet
Amount.
The apparatus embodiments described above are merely exemplary, wherein unit can be as illustrated by the separation member
Or may not be and be physically separated, component shown as a unit may or may not be physical unit, i.e.,
It can be located in one place, or may be distributed over multiple network units.It can select according to the actual needs therein
Some or all of the modules achieves the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creative labor
In the case where dynamic, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
The method of certain parts of example or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features;
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of method for detecting Droplet deposition characterized by comprising
Grey transitions are carried out to natural droplet image, obtain droplet grayscale image, the droplet grayscale image includes droplet part and back
Scape part;
The droplet part and the background parts are split, the droplet part is obtained;
It is extracted by feature of the gray value space to the droplet part, obtains target droplet;
The volume for calculating the target droplet, using the volume of the target droplet as the deposition of droplet.
2. detecting the method for Droplet deposition according to claim 1, which is characterized in that the calculating target droplet
Volume, comprising:
Calculate the area of the target droplet;
By the area of the target droplet, substitutes into area mapping equation and calculated, obtain the volume of the target droplet.
3. detecting the method for Droplet deposition according to claim 1, which is characterized in that described to the droplet part and institute
It states background parts to be split, comprising: K-means mean value image segmentation is used, to the droplet part and the background portion
Divide and is split.
4. detecting the method for Droplet deposition according to claim 1, which is characterized in that carry out gray scale to natural droplet image
Transformation, after obtaining droplet grayscale image, further includes: be modified using gray-level histogram equalization to the droplet grayscale image.
5. according to claim 1 detect Droplet deposition method, which is characterized in that it is described to the droplet grayscale image into
Before row segmentation, further includes: handled using median filtering the droplet grayscale image.
6. a kind of device for detecting Droplet deposition characterized by comprising
Transition module obtains droplet grayscale image, the droplet grayscale image packet for carrying out grey transitions to natural droplet image
It includes, droplet part and background parts;
Divide module and obtains the droplet part for being split to the droplet part and the background parts;
Extraction module obtains target droplet for extracting by feature of the gray value space to the droplet part;
Computing module, for calculating the volume of the target droplet, using the volume of the target droplet as the deposition of droplet.
7. detecting the device of Droplet deposition according to claim 6, which is characterized in that further include: camera module, it is described to take the photograph
Shadow module obtains the natural droplet image for shooting to droplet.
8. detecting the device of Droplet deposition according to claim 6, which is characterized in that further include: communication device is described logical
News device is used to the deposition of the droplet being sent to droplet detection system.
9. a kind of electronic equipment including memory, processor and stores the calculating that can be run on a memory and on a processor
Machine program, which is characterized in that realized when the processor executes described program and detect mist as described in any one of claim 1 to 5
The step of dripping the method for deposition.
10. a kind of non-transient computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer
The step of method that Droplet deposition is detected as described in any one of claim 1 to 5 is realized when program is executed by processor.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811231087.8A CN109507070A (en) | 2018-10-22 | 2018-10-22 | Detect the method and device of Droplet deposition |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811231087.8A CN109507070A (en) | 2018-10-22 | 2018-10-22 | Detect the method and device of Droplet deposition |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109507070A true CN109507070A (en) | 2019-03-22 |
Family
ID=65745886
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811231087.8A Pending CN109507070A (en) | 2018-10-22 | 2018-10-22 | Detect the method and device of Droplet deposition |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109507070A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110823771A (en) * | 2019-10-24 | 2020-02-21 | 江苏大学 | Root system droplet adhesion area detection device based on low-field nuclear magnetic resonance and optical fiber detection and detection method thereof |
CN113008742A (en) * | 2021-02-23 | 2021-06-22 | 中国农业大学 | Method and system for detecting deposition amount of fog drops |
CN113252523A (en) * | 2021-05-12 | 2021-08-13 | 中国农业大学 | Device and method for measuring deposition amount of plant leaf fog drops based on RGB camera |
CN113303306A (en) * | 2021-05-20 | 2021-08-27 | 中国农业科学院烟草研究所(中国烟草总公司青州烟草研究所) | Pesticide spraying prevention drifting method and system for pesticide spraying unmanned aerial vehicle and storage medium |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5567865A (en) * | 1994-09-14 | 1996-10-22 | Deutsche Forschungsanstalt Fur Luft-Und Raumfahrt E.V. | Method for determining the size of airborne water droplets |
CN1916598A (en) * | 2005-08-15 | 2007-02-21 | 中国农业大学 | Apparatus for measuring spectrum of fog drop, and image processing device |
CN103487437A (en) * | 2013-09-17 | 2014-01-01 | 北京农业信息技术研究中心 | Method and system for detecting aerial pesticide spraying droplet distribution index |
CN105372165A (en) * | 2015-12-22 | 2016-03-02 | 东南大学 | Liquid drop diameter distribution measurement method based on hydrophobic material |
CN107063949A (en) * | 2016-12-30 | 2017-08-18 | 北京农业智能装备技术研究中心 | Measure the methods, devices and systems of mist droplet deposition distribution situation |
CN107110754A (en) * | 2015-10-12 | 2017-08-29 | 深圳市大疆创新科技有限公司 | Spray quality detection device, system, method and sampling servicing unit |
WO2017222461A1 (en) * | 2016-06-21 | 2017-12-28 | Giatrellis Sarantis | System and method for precision deposition of liquid droplets |
CN108182703A (en) * | 2017-12-13 | 2018-06-19 | 安徽农业大学 | A kind of measuring method and system quantitative based on water-sensitive test paper |
CN108595907A (en) * | 2018-04-19 | 2018-09-28 | 浙江工业大学 | A kind of plant leaf blade Droplet deposition statistical method based on dummy model |
-
2018
- 2018-10-22 CN CN201811231087.8A patent/CN109507070A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5567865A (en) * | 1994-09-14 | 1996-10-22 | Deutsche Forschungsanstalt Fur Luft-Und Raumfahrt E.V. | Method for determining the size of airborne water droplets |
CN1916598A (en) * | 2005-08-15 | 2007-02-21 | 中国农业大学 | Apparatus for measuring spectrum of fog drop, and image processing device |
CN103487437A (en) * | 2013-09-17 | 2014-01-01 | 北京农业信息技术研究中心 | Method and system for detecting aerial pesticide spraying droplet distribution index |
CN107110754A (en) * | 2015-10-12 | 2017-08-29 | 深圳市大疆创新科技有限公司 | Spray quality detection device, system, method and sampling servicing unit |
CN105372165A (en) * | 2015-12-22 | 2016-03-02 | 东南大学 | Liquid drop diameter distribution measurement method based on hydrophobic material |
WO2017222461A1 (en) * | 2016-06-21 | 2017-12-28 | Giatrellis Sarantis | System and method for precision deposition of liquid droplets |
CN107063949A (en) * | 2016-12-30 | 2017-08-18 | 北京农业智能装备技术研究中心 | Measure the methods, devices and systems of mist droplet deposition distribution situation |
CN108182703A (en) * | 2017-12-13 | 2018-06-19 | 安徽农业大学 | A kind of measuring method and system quantitative based on water-sensitive test paper |
CN108595907A (en) * | 2018-04-19 | 2018-09-28 | 浙江工业大学 | A kind of plant leaf blade Droplet deposition statistical method based on dummy model |
Non-Patent Citations (3)
Title |
---|
WEI-CAI QIN 等: ""Droplet deposition and control effect of insecticides sprayed with an unmanned aerial vehicle against plant hoppers"", 《CROP PROTECTION》 * |
何勇 等: ""植保无人机雾滴沉积效果研究综述"", 《浙江大学学报(农业与生命科学版)》 * |
郭娜 等: ""雾滴沉积特性参数的图像检测算法改进"", 《农业工程学报》 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110823771A (en) * | 2019-10-24 | 2020-02-21 | 江苏大学 | Root system droplet adhesion area detection device based on low-field nuclear magnetic resonance and optical fiber detection and detection method thereof |
CN110823771B (en) * | 2019-10-24 | 2022-05-20 | 江苏大学 | Root system droplet adhesion area detection device based on low-field nuclear magnetic resonance and optical fiber detection and detection method thereof |
CN113008742A (en) * | 2021-02-23 | 2021-06-22 | 中国农业大学 | Method and system for detecting deposition amount of fog drops |
CN113252523A (en) * | 2021-05-12 | 2021-08-13 | 中国农业大学 | Device and method for measuring deposition amount of plant leaf fog drops based on RGB camera |
CN113252523B (en) * | 2021-05-12 | 2022-03-15 | 中国农业大学 | Device and method for measuring deposition amount of plant leaf fog drops based on RGB camera |
CN113303306A (en) * | 2021-05-20 | 2021-08-27 | 中国农业科学院烟草研究所(中国烟草总公司青州烟草研究所) | Pesticide spraying prevention drifting method and system for pesticide spraying unmanned aerial vehicle and storage medium |
CN113303306B (en) * | 2021-05-20 | 2022-10-11 | 中国农业科学院烟草研究所(中国烟草总公司青州烟草研究所) | Pesticide spraying prevention drifting method and system for pesticide spraying unmanned aerial vehicle and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109507070A (en) | Detect the method and device of Droplet deposition | |
CN107657606B (en) | Method and device for detecting brightness defect of display device | |
Phoulady et al. | A framework for nucleus and overlapping cytoplasm segmentation in cervical cytology extended depth of field and volume images | |
CN109977997B (en) | Image target detection and segmentation method based on convolutional neural network rapid robustness | |
CN107220647B (en) | Crop center point positioning method and system under blade crossing condition | |
CN107063949B (en) | Method, device and system for measuring droplet deposition distribution | |
CN110689519B (en) | Fog drop deposition image detection system and method based on yolo network | |
CN108230367A (en) | A kind of quick method for tracking and positioning to set objective in greyscale video | |
CN110335246B (en) | License picture definition evaluation method | |
CN112991374B (en) | Canny algorithm-based edge enhancement method, canny algorithm-based edge enhancement device, canny algorithm-based edge enhancement equipment and storage medium | |
CN109060842B (en) | Citrus surface defect detection method based on surface fitting correction | |
CN108427971A (en) | The method and system of tobacco leaf grading based on mobile terminal | |
CN118096815A (en) | Road abnormal event detection system based on machine vision | |
CN112614174A (en) | Point cloud complementing and point cloud dividing method and device, electronic equipment and storage medium | |
CN115205291A (en) | Circuit board detection method, device, equipment and medium | |
CN115294035A (en) | Bright point positioning method, bright point positioning device, electronic equipment and storage medium | |
Wu et al. | Automatic kernel counting on maize ear using RGB images | |
CN108765424A (en) | Stain method for detecting area and device, analytical instrument and storage medium | |
CN113065454B (en) | High-altitude parabolic target identification and comparison method and device | |
CN114431005A (en) | Intelligent agricultural fruit picking, identifying and positioning method, system and device | |
CN115719326A (en) | PCB defect detection method and device | |
CA3189362A1 (en) | Computer implemented method for assessing the growth of germinative growths from germinative units | |
CN115409793A (en) | Fog drop detection method and system based on machine vision | |
CN107437254B (en) | Orchard adjacent overlapping shape fruit distinguishing method | |
CN113421301B (en) | Method and system for positioning central area of field crop |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190322 |
|
RJ01 | Rejection of invention patent application after publication |