CN109859161A - A kind of tubular type swells leg bee method of counting and its application - Google Patents
A kind of tubular type swells leg bee method of counting and its application Download PDFInfo
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- CN109859161A CN109859161A CN201811549907.8A CN201811549907A CN109859161A CN 109859161 A CN109859161 A CN 109859161A CN 201811549907 A CN201811549907 A CN 201811549907A CN 109859161 A CN109859161 A CN 109859161A
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- 238000000034 method Methods 0.000 title claims abstract description 45
- 239000012535 impurity Substances 0.000 claims abstract description 30
- 238000004519 manufacturing process Methods 0.000 claims description 6
- 239000002245 particle Substances 0.000 claims description 6
- 230000003068 static effect Effects 0.000 claims description 6
- 238000012544 monitoring process Methods 0.000 claims description 5
- 230000008014 freezing Effects 0.000 abstract description 5
- 238000007710 freezing Methods 0.000 abstract description 5
- 230000007547 defect Effects 0.000 abstract description 3
- 238000007873 sieving Methods 0.000 description 5
- 241000238631 Hexapoda Species 0.000 description 4
- 230000008961 swelling Effects 0.000 description 4
- 238000012360 testing method Methods 0.000 description 4
- 241001442207 Monochamus alternatus Species 0.000 description 3
- 241000607479 Yersinia pestis Species 0.000 description 3
- 241001124657 Bethylidae Species 0.000 description 2
- 241001481710 Cerambycidae Species 0.000 description 2
- 241000257303 Hymenoptera Species 0.000 description 2
- 235000008331 Pinus X rigitaeda Nutrition 0.000 description 2
- 235000011613 Pinus brutia Nutrition 0.000 description 2
- 241000018646 Pinus brutia Species 0.000 description 2
- 206010039710 Scleroderma Diseases 0.000 description 2
- 239000000853 adhesive Substances 0.000 description 2
- 230000001070 adhesive effect Effects 0.000 description 2
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 238000012216 screening Methods 0.000 description 2
- 241000254173 Coleoptera Species 0.000 description 1
- 241000244206 Nematoda Species 0.000 description 1
- 241000382353 Pupa Species 0.000 description 1
- 241000467911 Sclerodermus guani Species 0.000 description 1
- 208000003464 asthenopia Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000003071 parasitic effect Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 239000003643 water by type Substances 0.000 description 1
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Abstract
The invention discloses a kind of swollen leg bee method of counting of tubular type and its applications.The method of counting includes the swollen leg bee freezing of tubular type, removes impurity, photograph, Image J software counts.It takes a picture and counts the suitable photo of the pixel used for providing Image J software；Image J software counts the statistics that the swollen leg bee population number of tubular type in photograph is completed by setting relevant parameter.The population number for the swollen leg bee of this method statistics tubular type that the present invention is combined using photo and software, can quickly finish the statistics to bee population number, count accuracy rate height, solve the defect of the time-consuming fallibility of artificial counting.
Description
Technical field
The invention belongs to field of image recognition, are related to the swollen leg bee method of counting of tubular type, and in particular to a kind of swollen leg bee of tubular type
Using software method of counting and this method tubular type swell leg bee production and release monitoring bee quantity is appraised and decided in apply.
Background technique
The swollen leg bee Scleroderma guani Xiao et Wu of tubular type is a kind of parasitic enemy insect, belongs to Hymenoptera
(Hymenoptera) Bethylidae (Bethylidae), host are larva and the pupa of the borer pests such as coleoptera.It leads at present
To be used to control the harm of longicorn, especially based on Monochamus alternatus (Monochamus alternatus Hope, 1842), this be because
It is the primary vehicle insect of pine nematode for Monochamus alternatus, which is a kind of crushing epidemic disease of pine tree.Forestry disease
The biological prevention and control of insect pest are to guarantee the effective means of blue mountains and green waters, therefore the swollen leg bee of tubular type is purchased for the anti-of longicorn class pest
Control.The swollen leg bee of tubular type is purchased generally according to population number, therefore need to be monitored to burst size when release, the leg so that tubular type swells
Bee determination of amount in production and release is particularly important.
The swollen leg bee determination of amount of tubular type is that this method of counting is time-consuming to be taken manually, simultaneously manually directly to count at present
Interference of the staff when counting by extraneous factor is big, or even counting for a long time will appear visual fatigue etc. and cause to count out
Existing mistake.
Summary of the invention
In view of the drawbacks of the prior art, one of the objects of the present invention is to provide the methods that a kind of swollen leg bee of tubular type counts.
Another object of the present invention is to provide a kind of above-mentioned tubular type swell leg bee method of counting tubular type swell leg bee production and
The application of release monitoring aspect.
Method of counting of the invention is sieved, photograph, it is swollen that ImageJ software counts acquisition tubular type by the swollen leg bee freezing of tubular type
Leg bee quantity, to overcome the defect of artificial counting.
In order to achieve the above objectives, the invention adopts the following technical scheme:
A kind of swollen leg bee method of counting of tubular type, includes the following steps:
Step 1 is handled the leg bee so that the tubular type swells to the swollen leg bee of tubular type to be counted and is remained static；
Step 2 removes impurity from the swollen leg bee of the tubular type to remain static；
Step 3 will go the swollen leg bee of deimpurity tubular type to be placed in plane and independently put between the swollen leg bee individual of tubular type, so
Photograph obtains photograph afterwards；
Step 4, using Image J software to tubular type swell leg bee count, wherein it is described counting successively include following sub-step
It is rapid:
Sub-step one clicks Type and selects 8-bit；
Sub-step two is clicked Adjust selection Threshold and is adjusted；
Sub-step three clicks Analyze, and Analyze Particles is selected to click to enter, and adjusts Size value, Show choosing
Outlines is selected, Summarize is chosen；Then it completes to count after clicking ok.
In the swollen leg bee method of counting of above-mentioned tubular type, as a preferred implementation manner, in said step 1, the place
Reason, which refers to for the swollen leg bee of tubular type to be counted to be placed under low temperature, to be freezed；Preferably -48h for 24 hours is kept the temperature at -15--30 DEG C.
It is described to go to clean as a preferred implementation manner, in step 2 in the swollen leg bee method of counting of above-mentioned tubular type
Matter includes: manually to pick impurity of the size greater than the swollen leg bee of tubular type and screen out impurity of the size less than the swollen leg bee of tubular type.
In the swollen leg bee method of counting of above-mentioned tubular type, the size that screens out is less than tubular type as a preferred implementation manner,
The mesh number of the sieve used when the impurity of swollen leg bee is 40-80 mesh, preferably 40 mesh.
In the swollen leg bee method of counting of above-mentioned tubular type, the pixel coverage of the photograph is as a preferred implementation manner,
The wide a height of 2411*1808-8562*6423 of *.
In the swollen leg bee method of counting of above-mentioned tubular type, as a preferred implementation manner, in the sub-step two, selection
Default is Red.
In the swollen leg bee method of counting of above-mentioned tubular type, as a preferred implementation manner, in the sub-step two, adjustment
Same tubular type is required to swell leg bee polypide red as continuously without breakpoint after Threshold value.
In the swollen leg bee method of counting of above-mentioned tubular type, as a preferred implementation manner, in the sub-step three, size
Minimum value be 50-181.
In the swollen leg bee method of counting of above-mentioned tubular type, as a preferred implementation manner, in the sub-step three, size
Minimum value be 80.
The swollen leg bee method of counting of above-mentioned tubular type appraises and decides aspect to bee quantity when tubular type swells the production of leg bee and release monitoring
Using.
Compared with prior art, the invention has the following beneficial effects: the swollen leg bee method of counting of tubular type of the invention is fine
Ground solve the big defect of the time-consuming error of artificial counting, especially tubular type swell leg bee release when population number need to measure, using
The method of conventional artificial counting, it is time-consuming big by external interference, and method of counting of the invention is used, it is time saving by external interference
It is small.In addition, the population number that counting method of the present invention obtains has corresponding photo as evidence, accomplish the prison of the swollen leg bee population number of tubular type
Survey has good grounds.
Detailed description of the invention
The accompanying drawings constituting a part of this application is used to provide further understanding of the present invention, and of the invention shows
Examples and descriptions thereof are used to explain the present invention for meaning property, does not constitute improper limitations of the present invention.Wherein:
Figure 1A is that 1 method of embodiment counts the continuous red of the swollen same polypide of leg bee of tubular type (after adjustment Threshold value)；Figure
1B is statistics of Figure 1A partial software to population number.
Fig. 2A is that the same polypide red of 1 method of embodiment counting has breakpoint (after adjustment Threshold value)；Fig. 2 B is Fig. 2A
Statistics of the partial software to population number.
Fig. 3 A is that 1 method of embodiment counts the swollen leg bee of tubular type；Fig. 3 B is that Fig. 3 part A software counts population number.
Specific embodiment
The technical scheme in the embodiments of the invention will be clearly and completely described below, it is clear that described implementation
Example is only a part of the embodiments of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is general
Logical technical staff's every other embodiment obtained, shall fall within the protection scope of the present invention.
Below by concrete example, the present invention is described in detail, but the present invention is not limited thereto.
Image J 1.50i version is used in the present invention, other versions of the software can also；Taking photograph of intelligent mobile phone.
The present invention provides a kind of swollen leg bee method of counting of tubular type, includes the following steps:
Step 1 is handled the leg bee so that tubular type swells to the swollen leg bee of tubular type to be counted and is remained static；To just
In subsequent operation.
The present invention can using any feasible pattern by tubular type swell leg bee kill or make its temporarily it is motionless.Implement in the present invention
In example preferably using freezing under low temperature by the way of, which is simply and conveniently；More preferably -48h for 24 hours is kept the temperature at -15--30 DEG C.
Step 2 removes impurity from the swollen leg bee of the tubular type to remain static；
Acquire tubular type to be counted swell leg bee sample when, certain feed or other impurities can be mixed in sample, in order to rear
The continuous accuracy counted, reduces the false positive of counting, needs to remove impurity from sample, the impurity bigger for size, than
If size be greater than tubular type swell leg bee impurity, can using sieve by the way of be isolated, can also by the way of artificial incite somebody to action
It is picked；Since large scale amount of impurities is fewer, it is advantageous to by the way of manually picking.Smaller for size is miscellaneous
Matter, such as size are less than the impurity of the swollen leg bee of tubular type, manually pick relatively difficult, it is preferred to use and the mode of screening removes, in order to
Guarantee the removal effect of impurity, reduce counting error, it is preferable that is used when screening out impurity of the size less than the swollen leg bee of tubular type
The mesh number of sieve be 40-80 mesh (such as 45 mesh, 60 mesh, 70 mesh, 75 mesh), preferably 40 mesh, tubular type swell leg bee can stay on sieve, impurity
It can be sieved under sieve.
Step 3 will go the swollen leg bee of deimpurity tubular type to be placed in plane and independently put between the swollen leg bee individual of tubular type, so
Photograph obtains photograph afterwards；
Wherein the plane is to keep horizontal filter paper, i.e., the swollen leg bee of deimpurity tubular type will be gone to be placed in horizontal positioned filter
On paper.
In order to increase count accuracy, convenient for the setting of parameter and the control of parameter value in Image J software, the phase
The pixel coverage of piece is a height of 2411*1808-8562*6423 of width *.When pixel is too low, image quality is too poor, influences to count quasi-
True property, when pixel is excessively high, not only the requirement to camera installation increases, and reduces the convenience of test, and can be to photograph when counting
Load causes difficult while also resulting in the bad control of size value, to cause to count inaccuracy.
Step 4, using Image J software to tubular type swell leg bee count, wherein it is described counting successively include following sub-step
It is rapid:
Sub-step one clicks Type (type) and selects 8-bit；Picture is converted to gray level image, and this minimum ash
It is accurate that rank can guarantee to count；
Sub-step two is clicked Adjust (adjustment) selection Threshold (threshold value) and is adjusted；Simultaneous selection
Default (default value) is Red (red), convenient for observation, statistics.In order to guarantee count accuracy, after adjusting Threshold value
It is required that same tubular type swells, leg bee polypide red is continuously and the background redfree without breakpoint.
Sub-step three is clicked Analyze (analysis), is selected Analyze Particles (analysis particle) to click to enter, is adjusted
Whole Size (size) value, Show (displaying) select Outlines (profile), choose Summarize (general introduction)；Then after clicking ok
It completes to count.
In order to increase counting accuracy, reducing the interference of impurity and avoid the quantity of leakage meter bee, the setting of size value is minimum
Value is 50-181；It is highly preferred that size numerical value setting minimum value is 80.
It can also include: to click Adjust selection between sub-step one and sub-step two to be more clear picture
Brightness/Contrast is adjusted.
The swollen leg bee method of counting of above-mentioned tubular type appraises and decides aspect to bee quantity when tubular type swells the production of leg bee and release monitoring
Using.
1 basic model of embodiment
Tubular type swells leg bee method of counting specifically:
(1) pipe equipped with the swollen leg bee sample of tubular type is placed in -20 DEG C of -48h for 24 hours, guarantees that it is motionless in subsequent operation；
(2) the swollen leg bee of tubular type after taking out freezing, bee and feed are removed, discard feed bulk impurity with tweezers；
(3) tubular type leg bee of swelling is placed on the sieve that mesh number is 40 mesh, light to shake, small impurity leakage rejects small impurity, pipe in sieve is lower
The swollen leg bee of formula substantially remains on sieve；
(4) filter paper (long * wide=30cm*30cm) double-sided adhesive adheres to filter paper on desktop, need to pave completely；After sieving
The swollen leg bee of tubular type is placed on filter paper, independently puts between individual, smart phone or camera are taken pictures, photograph pixel 4032*3024
Or 3024*4032 (wide * high), but the tubular type on photo swells, leg bee image needs shadow-free.
(5) with Image J software to tubular type swell leg bee count, successively in accordance with the following steps operate:
1. clicking Type selects 8-bit, purpose is converted to gray level image, and this minimum gray can guarantee the standard counted
Really；
2. clicking Adjust selects Threshold, Default, Red (convenient for observation, statistics) is selected then to adjust
Threshold value meets same polypide red continuously without breakpoint, and background redfree (referring to Fig. 1).Continuous red, software is
It is calculated as the quantity of bee, if a certain bee is discontinuous red, counts and is higher than 1；Background is that red can also be counted,
The quantity that will cause last bee is inaccurate (Fig. 2).It can be seen that same polypide red continuously without breakpoint, institute from Figure 1A and Figure 1B
1 quantity is only calculated as with same polypide；And can be seen that same polypide because red discontinuous from Fig. 2A and Fig. 2 B, and it is counted as 2
A quantity, so as to cause error.
3. clicking Analyze, Analyze Particles is selected to click to enter, adjustment Size minimum value is 80, is greater than 80
Whole be calculated as tubular type and swell the quantity of leg bee, purpose is rejected residual impurity interference and is counted, while guaranteeing every bee quilt as far as possible
It counts (Fig. 3).Show selects Outlines, chooses Summarize；Ok is clicked after being adjusted to complete to count.From Fig. 3 A and figure
3B can be seen that red point of the size less than 80 and not counted as tubular type leg bee of swelling.
Embodiment 2: the optimization of sieve mesh number
Key step and step (1)-(3) in embodiment 1 are essentially identical, are only that the sieve mesh number selected in step (3) is pressed
It is carried out according to the following table 1.The present embodiment swollen leg bee sample to be counted to multiple groups has carried out the swollen leg bee sieving population number of 1 tubular type of table
Test, test result are shown in Table 1.The results show that tubular type swells, leg bee crosses 20 mesh sieve, and sieving lower population number is 22-80；
40 mesh sieve are crossed, an only bee drops down under sieve, and it is few to sieve upper impurity level；Cross 80 mesh sieve, bee is sieved all on sieve
Impurity level it is slightly more；Son is sieved with 100 mesh sieve, though bee, all on sieve, impurity level is more, and photo is not suitable for software meter
Number.Therefore the mesh number of the swollen leg bee sieving of tubular type is selected as 40, and the bee occasionally fallen under sieve can be fetched with tweezers to be clapped simultaneously with the upper bee of sieve
According to.
Embodiment 3: same photo is counted using different size minimum values
(1) pipe equipped with the swollen leg bee sample of tubular type is placed in -20 DEG C of -48h for 24 hours, guarantees that it is motionless in subsequent operation；
(2) the swollen leg bee of tubular type after taking out freezing, bee and feed are removed, discard feed bulk impurity with tweezers；
(3) tubular type leg bee of swelling is placed on the sieve that mesh number is 40 mesh, light to shake, small impurity leakage rejects small impurity, pipe in sieve is lower
The swollen leg bee of formula substantially remains on sieve；
(4) filter paper (long * wide=30cm*30cm) double-sided adhesive adheres to filter paper on desktop, need to pave completely；After sieving
The swollen leg bee of tubular type is placed on filter paper, independently puts between individual, smart phone or camera are taken pictures, photograph pixel 4032*3024
Or 3024*4032 (wide * high), but the tubular type on photo swells, leg bee image needs shadow-free.
(5) with Image J software to tubular type swell leg bee count, successively in accordance with the following steps operate:
1. clicking Type selects 8-bit, purpose is converted to gray level image, and this minimum gray can guarantee the standard counted
Really；
2. clicking Adjust selects Threshold, Default, Red are selected, then adjusts Threshold value, is met same
One polypide red is continuously without breakpoint, and background redfree.
3. clicking Analyze, Analyze Particles is selected to click to enter, Size minimum value is adjusted, referring specifically under
Table 2, Show select Outlines, choose Summarize；Ok is clicked to complete to count.
2 difference size value of table records the swollen leg bee quantity of tubular type
| size(pixels2) | Software counts (head) | Artificial counting (head) | Error rate (%) |
| 30-Infinity | 57 | 56 | 1.78 |
| 50-Infinity | 56 | 56 | 0 |
| 70-Infinity | 56 | 56 | 0 |
| 90-Infinity | 56 | 56 | 0 |
| 110-Infinity | 56 | 56 | 0 |
| 130-Infinity | 56 | 56 | 0 |
| 150-Infinity | 56 | 56 | 0 |
| 170-Infinity | 56 | 56 | 0 |
| 181-Infinity | 56 | 56 | 0 |
| 182-Infinity | 55 | 56 | 1.78 |
It can be seen from Table 2 that when the value range of the minimum value of Size is 50-181, error rate 0.
Embodiment 4: Size minimum value is used to count for 80 parameter to the swollen leg bee sample of different tubular types
For the method for counting of the present embodiment substantially with embodiment 3, which is 4032*3024,
Size minimum value is 80, the count results such as following table 3. of the swollen leg bee sample of each tubular type
Table 3Size minimum value is the swollen leg bee count table of 80 tubular types
| size(pixels2) | Software counts (head) | Manually/count (head) | Error rate (%) |
| 80-Infinity | 43 | 43 | 0 |
| 80-Infinity | 74 | 74 | 0 |
| 80-Infinity | 33 | 33 | 0 |
| 80-Infinity | 73 | 73 | 0 |
| 80-Infinity | 117 | 117 | 0 |
| 80-Infinity | 136 | 136 | 0 |
| 80-Infinity | 158 | 158 | 0 |
| 80-Infinity | 73 | 73 | 0 |
| 80-Infinity | 77 | 77 | 0 |
| 80-Infinity | 56 | 56 | 0 |
From table 3 it is observed that above-mentioned setting can effectively count formula leg bee of swelling.
Embodiment 5: the sample of same Scleroderma Xiao et Wu is counted using the photo of different pixels
In addition to photograph pixel is different from embodiment 4, for other steps with embodiment 4, the pixel of 5 photo of the present embodiment is as follows
Table 4.
Test result is referring to table 4.Photograph pixel range is 2411*1808-8562*6423, and the present embodiment can be well
Count Scleroderma Xiao et Wu.When photograph pixel is lower than 2411*1808, counting inaccuracy；If pixel is excessively high, photo memory space adds
Greatly, increase the difficulty of photograph storage, there is also difficulties for the determination of size value；Therefore photograph pixel of the present invention is preferably 4032*
3024 or 3024*4032.
The swollen leg bee quantity of tubular type is recorded under the conditions of 4 different pixels of table
Key step is same as Example 1, and difference is: photograph pixel 4032*3024, size value is embodiment 6
The method of counting of the present embodiment is substantially with embodiment 3, and the photograph pixel used in the examples is referring to table 5, Size
Minimum value is 80, count results such as the following table 5 of the swollen leg bee sample of each tubular type.
The swollen leg bee population number of 5 tubular type of table is manually compared with software statistics result
Amount to the swollen leg bee of 11 pipe tubular type of number according to above-mentioned method of counting, counts the insect population with artificial counting referring to 5 software of table
Quantity is completely the same.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Mind and principle within, any modification, equivalent replacement, improvement and so on, accompanying claims protection scope of the present invention it
It is interior.
Claims (10)
- The leg bee method of counting 1. a kind of tubular type swells, which comprises the steps of:Step 1 is handled the leg bee so that the tubular type swells to the swollen leg bee of tubular type to be counted and is remained static；Step 2 removes impurity from the swollen leg bee of the tubular type to remain static；Step 3, will go deimpurity tubular type swell leg bee be placed in plane and tubular type swell leg bee individual between independently put, then according to Mutually obtain photograph；Step 4, using Image J software to tubular type swell leg bee count, wherein it is described counting successively include following sub-step:Sub-step one clicks Type and selects 8-bit；Sub-step two is clicked Adjust selection Threshold and is adjusted；Sub-step three clicks Analyze, and Analyze Particles is selected to click to enter, and adjusts Size value, Show selection Outlines chooses Summarize；Then it completes to count after clicking ok.
- The leg bee method of counting 2. tubular type according to claim 1 swells, which is characterized in thatIn said step 1, the processing refers to for the swollen leg bee of tubular type to be counted to be placed under low temperature and freeze；Preferably- 15--30 DEG C keeps the temperature -48h for 24 hours.
- The leg bee method of counting 3. tubular type according to claim 1 swells, which is characterized in that described to go to clean in step 2 Matter includes: manually to pick impurity of the size greater than the swollen leg bee of tubular type and screen out impurity of the size less than the swollen leg bee of tubular type.
- The leg bee method of counting 4. tubular type according to claim 3 swells, which is characterized in that the size that screens out swells less than tubular type The mesh number of the sieve used when the impurity of leg bee is 40-80 mesh, preferably 40 mesh.
- The leg bee method of counting 5. tubular type according to claim 1 swells, which is characterized in that the pixel coverage of the photograph is The wide a height of 2411*1808-8562*6423 of *.
- The leg bee method of counting 6. tubular type according to claim 1 swells, which is characterized in thatIn the sub-step two, select Default for Red.
- The leg bee method of counting 7. tubular type according to claim 6 swells, which is characterized in that in the sub-step two, adjustment Same tubular type is required to swell leg bee polypide red as continuously without breakpoint after Threshold value.
- The leg bee method of counting 8. tubular type according to claim 1 swells, which is characterized in that in the sub-step three, size Minimum value be 50-181.
- The leg bee method of counting 9. tubular type according to claim 1 swells, which is characterized in that in the sub-step three, size Minimum value be 80.
- 10. tubular type of any of claims 1-9 swell leg bee method of counting tubular type swell leg bee production and release monitoring When to bee quantity appraise and decide aspect application.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111982757A (en) * | 2020-05-13 | 2020-11-24 | 北京华龛生物科技有限公司 | Method for measuring number of particles in unit mass powder |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203812266U (en) * | 2014-03-31 | 2014-09-03 | 北京市农林科学院 | Insect trapping and counting device |
| CN104106554A (en) * | 2013-04-18 | 2014-10-22 | 浙江托普仪器有限公司 | Automatic light-trap identifying and counting device |
| CN105447859A (en) * | 2015-11-18 | 2016-03-30 | 扬州大学 | Field wheat aphid counting method |
| CN108872096A (en) * | 2018-07-11 | 2018-11-23 | 中国农业科学院蜜蜂研究所 | A kind of multifarious measurement method of honeybee herborization pollen |
-
2018
- 2018-12-18 CN CN201811549907.8A patent/CN109859161A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104106554A (en) * | 2013-04-18 | 2014-10-22 | 浙江托普仪器有限公司 | Automatic light-trap identifying and counting device |
| CN203812266U (en) * | 2014-03-31 | 2014-09-03 | 北京市农林科学院 | Insect trapping and counting device |
| CN105447859A (en) * | 2015-11-18 | 2016-03-30 | 扬州大学 | Field wheat aphid counting method |
| CN108872096A (en) * | 2018-07-11 | 2018-11-23 | 中国农业科学院蜜蜂研究所 | A kind of multifarious measurement method of honeybee herborization pollen |
Non-Patent Citations (2)
| Title |
|---|
| 李文勇: "基于机器视觉的果园性诱害虫在线识别与计数方法研究", 《中国博士学位论文全文数据库》 * |
| 解螺旋: "老司机带你解锁ImageJ的各种技术姿势", 《搜狐网》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111982757A (en) * | 2020-05-13 | 2020-11-24 | 北京华龛生物科技有限公司 | Method for measuring number of particles in unit mass powder |
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