CN109872025A - Crop disease and insect subregion variable management method and device - Google Patents
Crop disease and insect subregion variable management method and device Download PDFInfo
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Abstract
The embodiment of the present invention provides a kind of crop disease and insect subregion variable management method and device, and wherein method includes: the coordinate and pest and disease damage severity information that each sampled point in target area is obtained according to remote sensing image；According to fuzzy clustering algorithm, in conjunction with the coordinate and pest and disease damage severity information of each sampled point, subregion is carried out to the target area；Corresponding formulation rate is determined according to the pest and disease damage severity information of each subregion.The embodiment of the present invention overcomes the drawbacks such as previous pesticide spraying region is uniform, utilization rate is low, risk of environmental pollution is high.
Description
Technical field
The present embodiments relate to pest management technical field more particularly to a kind of crop disease and insect subregion variable management
Method and device.
Background technique
Crop disease and insect is an important factor for restricting agricultural production, to cause large effect to the yield and quality of crop.
In agricultural production, it is influenced by factors such as crop varieties, growing way, the soil moisture, humidity, between different plot or even same plot
The crop disease and insect in portion occurs severity and differs greatly on two-dimensional space.No matter traditional mode of uniformly spraying insecticide is from warp
The requirement of science production will be all able to satisfy in Ji or in ecological environmental protection.There is an urgent need to be directed to the aggrieved feelings of practical crop
Condition carries out accurate partition management.Theoretically, prescription operation unit is smaller, just more smart to the adjusting of pest and disease damage spatial diversity
Really, however, too small prescription unit can at geometric progression increase data processing and storage when large area implements accuracy pesticide applying
Capacity, the output quantity that automatic control continually adjusts nozzle also will increase mechanical wear.Therefore reasonable accuracy pesticide applying management subregion is non-
It is often important.
Traditional pest and disease monitoring, forecast and prevention and control system lacks large area based on craft, semi-mechanization working method
The fast and accurate agricultural aviation plant protection technology for observing and predicting means and automated intelligent.It is grown rapidly recently as remote sensing technology, is
Large area crop disease and insect is quick, accurate observe and predict provides data and technical support.Unmanned plane plant protection technology is also because of efficient, peace
Entirely, the advantages that mobility is good, droplet drift is few has become develops fast one emerging field in recent years, but current unmanned plane is made
Industry still uses uniform pesticide spraying mode substantially, lacks the subregion variable farm chemical applying method and device of strong operability.There is an urgent need to comprehensive
The quick Forecast Techniques of combination of syndromes insect pest remote sensing and unmanned plane plant protection technology divide reasonable accuracy pesticide applying management subregion, realize variable
Application.
Summary of the invention
In view of the problems of the existing technology, the embodiment of the present invention provides a kind of crop disease and insect subregion variable management method
And device.
First aspect, the embodiment of the present invention provide a kind of crop disease and insect subregion variable management method, comprising:
The coordinate and pest and disease damage severity information of each sampled point in target area are obtained according to remote sensing image；
According to fuzzy clustering algorithm, in conjunction with the coordinate and pest and disease damage severity information of each sampled point, to the target area
Domain carries out subregion；
Corresponding formulation rate is determined according to the pest and disease damage severity information of each subregion.
The second aspect, the embodiment of the present invention provide a kind of crop disease and insect subregion variable managing device, comprising:
Sampling module is believed for obtaining the coordinate of each sampled point and pest and disease damage severity in target area according to remote sensing image
Breath；
Division module, for according to fuzzy clustering algorithm, in conjunction with the coordinate and pest and disease damage severity information of each sampled point,
Subregion is carried out to the target area；
Formulation rate determining module, for determining corresponding formulation rate according to the pest and disease damage severity information of each subregion.
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, is realized when the processor executes described program as first aspect provides
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 is realized as provided by first aspect when the computer program is executed by processor the step of method.
Crop disease and insect subregion variable management method provided in an embodiment of the present invention and device are, it can be achieved that disease pest feelings remote sensing is fast
Slowdown monitoring, accuracy pesticide applying management Division, the disaster-stricken severity prescription map of different management subregions generate, according to different management subregions
Dose prescription values carry out the accurate variable farm chemical applying of unmanned plane, solve that previous pesticide spraying region is uniform, utilization rate is low, environmental pollution
The problems such as risk is high.The present invention reaches better prevention and control of plant diseases, pest control effect, reduces agricultural cost, reduces and use the applications of pesticide
Amount.The present invention is suitble to the crop disease and insect subregion variable management of field and farm scale.
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 according to crop disease and insect subregion variable management method provided in an embodiment of the present invention；
Fig. 2 is the flow diagram that the embodiment of the present invention obtains FCM cluster centre and subordinated-degree matrix；
Fig. 3 is the structural schematic diagram of the linear controller of the cruise system of the embodiment of the present invention；
Fig. 4 is the structural schematic diagram according to 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 according to crop disease and insect subregion variable management method provided in an embodiment of the present invention, such as
Shown in Fig. 1, comprising:
S101, the coordinate and pest and disease damage severity information that each sampled point in target area is obtained according to remote sensing image.
Specifically, the embodiment of the present invention can be by obtaining the clear cloudless high-resolution satellite image number in target area
According to high-resolution image data can also be obtained by unmanned plane multispectral camera, by being spliced to image data, being cut out
Cut, the pretreatment operations such as radiation calibration, atmospheric correction, in zoning each sampled point disease index (disease index,
DI) and/or insect pest situation index (Pest index, PI), as pest and disease damage severity information.DI or IPI value is smaller, and expression is endangered
Degree is smaller, otherwise bigger.DI or IPI indicates to be accounted for total leaf number purpose percentage by disease or insect pest blade on unit area.
S102, according to fuzzy clustering algorithm, in conjunction with the coordinate and pest and disease damage severity information of each sampled point, to the mesh
It marks region and carries out subregion.
It should be noted that the embodiment of the present invention is believed according to the coordinate and pest and disease damage severity of each sampled point in target area
Breath carries out the division of agricultural land application directorial area using Fuzzy C-Means Cluster Algorithm (FCM, Fuzzy c-means), will
Input value of the coordinate and pest and disease damage severity information of sampled point as FCM.
S103, corresponding formulation rate is determined according to the pest and disease damage severity information of each subregion.
Specifically, after carrying out subregion to target area, by counting the flat of the pest and disease damage severity information in each region
Mean value determines the formulation rate in region according to the average value of the pest and disease damage severity information in each region.
It should be noted that the crop disease and insect subregion variable management method of the embodiment of the present invention, passes through remote sensing technique reality
Show the disease index of target area or the fast slowdown monitoring of insect pest situation index, and carries out farmland disease using Fuzzy C-Means Cluster Algorithm
The division of insect pest application directorial area；Corresponding formulation rate is determined to different regions, overcome previous pesticide spraying region it is uniform,
The drawbacks such as utilization rate is low, risk of environmental pollution is high.
On the basis of the various embodiments described above, respectively adopted according to fuzzy clustering algorithm in conjunction with described as a kind of alternative embodiment
The coordinate and pest and disease damage severity information of sampling point carry out subregion to the target area, specifically:
The coordinate and disease pest of the cluster centre of current each subregion are calculated according to current subordinated-degree matrix and each sampled point
Severity information is done harm to, the element in the subordinated-degree matrix is for characterizing sampled point for the degree of membership of subregion.
Specifically, it is calculated by the following formula the coordinate of the cluster centre of current each subregion:
Wherein, uijIndicate that sampled point j belongs to the degree of membership of subregion i；xjIndicate the coordinate and pest and disease damage severity of sampled point j
Information；M is Weighted Index, and value is not less than 1；ciIndicate the coordinate and pest and disease damage severity information of the cluster centre of subregion i.It needs
It is noted that xiAnd ciBelong to multi-C vector.
According to each sampled point and the coordinate and pest and disease damage severity information of the cluster centre of current each subregion, and it is subordinate to
Matrix is spent, the FCM objective function constructed in advance is calculated.
Specifically, FCM objective function specifically:
Wherein, J indicates FCM objective function；U indicates subordinated-degree matrix；uijIndicate that sampled point j belongs to the degree of membership of subregion i；
xjIndicate the coordinate and pest and disease damage severity information of sampled point j；M is Weighted Index, and value is not less than 1；ciIndicate that subregion i's is poly-
The coordinate and pest and disease damage severity information at class center；The sum of s expression subregion；λjIndicate j-th of Lagrange multiplier, n is indicated
The sum of sampled point.
If objective function is small less than the knots modification of the first preset threshold and/or the relatively last objective function of objective function
In the second preset threshold, then the subregion of highest degree of membership is corresponded to as the sampling according to sampled point in current subordinated-degree matrix
Subregion where point.
It should be noted that the embodiment of the present invention constructs objective function, by calculating the cluster centre of each area's (group), so that
The value of objective function reaches minimum, in specific application, a first sufficiently small preset threshold can be set, work as objective function
When less than preset threshold, that is, stop calculating；The difference that the adjacent objective function iterated to calculate twice can also be calculated, if difference
Less than the second preset threshold, then stop calculating.Due to having recorded each sampled point being subordinate to for each subregion in subordinated-degree matrix
Degree, for each sampled point, using the corresponding subregion of highest degree of membership as the subregion where the sampled point.
On the basis of the various embodiments described above, if objective function is opposite not less than the first preset threshold and/or objective function
The knots modification of last objective function is not less than the second preset threshold, then updates subordinating degree function according to the following formula:
Wherein, uijIndicate that sampled point j belongs to the degree of membership of subregion i；xjIndicate the coordinate and pest and disease damage severity of sampled point j
Information；M is Weighted Index, and value is not less than 1；ciIndicate the coordinate and pest and disease damage severity information of the cluster centre of subregion i, s
Indicate the sum of subregion；
According to each sampled point and the coordinate and pest and disease damage severity information of the cluster centre of current each subregion, and it is subordinate to
Matrix is spent, the FCM objective function constructed in advance is calculated；Until objective function is less than the first preset threshold and/or objective function phase
To the knots modification of last objective function less than the second preset threshold.
Fig. 2 is the flow diagram that the embodiment of the present invention obtains FCM cluster centre and subordinated-degree matrix, as shown in Fig. 2,
Include:
S201: the random number being used between [0,1] initializes Subject Matrix U, it is made to meet constraint condition:
S202: formula is used:Calculate s cluster centre ci, i=1 ..., s.
S203: calculating target function:
If objective function, less than the second preset threshold, stops less than the knots modification of the first preset threshold or its opposite last time objective function
Only；If objective function is not less than the second default valve not less than the knots modification of the first preset threshold or its opposite last time objective function
Value, then execute S204；
S204: formula is used:Subordinated-degree matrix is updated, S202 is returned.
On the basis of the above embodiments, as a kind of alternative embodiment, according to the pest and disease damage severity information of each subregion
Determine corresponding formulation rate, specifically:
For any one subregion, the average pest and disease damage severity information of the subregion is calculated；Specifically, it counts in subregion
All sampled points, the pest and disease damage severity information of all sampled points is averaged, can be obtained the average pest and disease damage of subregion
Severity information.
According to preset pest and disease damage grade scale, divide in conjunction with described in the average pest and disease damage severity information determination of the subregion
The pest and disease damage grade in area.
According to the corresponding relationship of preset pest and disease damage grade scale and formulation rate, the formulation rate of the subregion is determined, generate
The application spirogram of different subregions.
Specifically, the embodiment of the present invention, will be sick according to plant protection expert knowledge library by the way that plant protection expert knowledge library is pre-created
Insect pest severity information is classified.Corresponding grade is converted into formulation rate further according to grade scale.Generate different subregions
It is administered spirogram.
On the basis of the various embodiments described above, as a kind of alternative embodiment, the pest and disease damage according to each subregion is serious
Degree information determines corresponding formulation rate, later further include:
The application spirogram is formatted, is input in unmanned plane embedded GIS, application spirogram is obtained and sits
Mark system, so that unmanned plane executes spray drug operation according to the application spirogram coordinate system.
Specifically, it is converted by the way that spirogram will be administered by file format, is transmitted to plant protection drone embedded GIS
In.Plant protection drone is in field work, by the current work location information obtained in real time and variable farm chemical applying prescription map coordinate system
The prescription map subregion where current work position is judged in fusion, reads the corresponding application prescription values of subregion.By controlling general ability
Domain network (CAN) bus is sent to spraying control system, and spraying control system issues control signal control spraying device and executes change
Measure spray drug operation.
Fig. 3 is the structural schematic diagram of the linear controller of the cruise system of the embodiment of the present invention, as shown, the device
Including sampling module 301, division module 302 and formulation rate determining module 303；Specifically:
Sampling module 301, it is serious for obtaining the coordinate of each sampled point and pest and disease damage in target area according to remote sensing image
Spend information.
Specifically, the embodiment of the present invention can be by obtaining the clear cloudless high-resolution satellite image number in target area
According to the image data of rigid resolution ratio can also be obtained by unmanned plane multispectral camera, by being spliced to image data, being cut out
Cut, the pretreatment operations such as radiation calibration, atmospheric correction, in zoning each sampled point disease index (disease index,
DI) and/or insect pest situation index (Pest index, PI), as pest and disease damage severity information.DI or IPI value is smaller, and expression is endangered
Degree is smaller, otherwise bigger.DI or IPI indicates to be accounted for total leaf number purpose percentage by disease or insect pest blade on unit area.
Division module 302, for being believed in conjunction with the coordinate and pest and disease damage severity of each sampled point according to fuzzy clustering algorithm
Breath carries out subregion to the target area.
It should be noted that the embodiment of the present invention is believed according to the coordinate and pest and disease damage severity of each sampled point in target area
Breath carries out the division of agricultural land application directorial area using Fuzzy C-Means Cluster Algorithm (FCM, Fuzzy c-means), will
Input value of the coordinate and pest and disease damage severity information of sampled point as FCM.
Formulation rate determining module 303, for determining corresponding formulation rate according to the pest and disease damage severity information of each subregion.Tool
Body, after carrying out subregion to target area, by counting the average value of the pest and disease damage severity information in each region, according to each
The average value of the pest and disease damage severity information in region determines the formulation rate in region.
Crop disease and insect subregion variable managing device provided in an embodiment of the present invention specifically executes above-mentioned crop disease and insect point
The embodiment process of area variable management method please specifically be detailed in the content of above-mentioned each method embodiment, and details are not described herein.This hair
The crop disease and insect subregion variable managing device of bright embodiment, disease index or the worm of target area are realized by remote sensing technique
The fast slowdown monitoring of feelings index, and the division that agricultural land is administered directorial area is carried out using Fuzzy C-Means Cluster Algorithm；To difference
Region determine corresponding formulation rate, overcome the disadvantages such as previous pesticide spraying region is uniform, utilization rate is low, risk of environmental pollution is high
End.
Fig. 4 is the entity structure schematic diagram of electronic equipment provided in an embodiment of the present invention, as shown in figure 4, the electronic equipment
It may include: processor (processor) 410,420, memory communication interface (Communications Interface)
(memory) 430 and communication bus 440, wherein processor 410, communication interface 420, memory 430 pass through communication bus 440
Complete mutual communication.Processor 410 can call the meter that is stored on memory 430 and can run on the processor 410
Calculation machine program, to execute the crop disease and insect subregion variable management method of the various embodiments described above offer, for example, according to remote sensing
The coordinate of each sampled point and pest and disease damage severity information in image capturing target area；According to fuzzy clustering algorithm, in conjunction with described each
The coordinate and pest and disease damage severity information of sampled point carry out subregion to the target area；Pest and disease damage according to each subregion is serious
Degree information determines corresponding formulation rate.
In addition, the logical order in above-mentioned memory 430 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
The technical solution of the inventive embodiments substantially part of the part that contributes to existing technology or the technical solution in other words
It can be embodied in the form of software products, which is stored in a storage medium, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes the present invention respectively
The all or part of the steps of a embodiment the 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. the various media that can store program code.
The embodiment of the present invention also provides a kind of non-transient computer readable storage medium, is stored thereon with computer program,
The computer program is implemented to carry out the crop disease and insect subregion variable management of the various embodiments described above offer when being executed by processor
Method, for example, the coordinate and pest and disease damage severity information of each sampled point in target area are obtained according to remote sensing image；According to
Fuzzy clustering algorithm carries out subregion to the target area in conjunction with the coordinate and pest and disease damage severity information of each sampled point；Root
Corresponding formulation rate is determined according to the pest and disease damage severity information of each subregion.
The apparatus embodiments described above are merely exemplary, wherein described, unit can as illustrated by the separation member
It is physically separated with being or may not be, component shown as a unit may or may not be physics list
Member, it can it is in one place, or may be distributed over multiple network units.It can be selected according to the actual needs
In some or all of the modules achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creativeness
Labour in the case where, 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
Method described in 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 crop disease and insect subregion variable management method characterized by comprising
The coordinate and pest and disease damage severity information of each sampled point in target area are obtained according to remote sensing image；
According to fuzzy clustering algorithm, in conjunction with the coordinate and pest and disease damage severity information of each sampled point, to the target area into
Row subregion；
Corresponding formulation rate is determined according to the pest and disease damage severity information of each subregion.
2. management method according to claim 1, which is characterized in that it is described according to fuzzy clustering algorithm, it is respectively adopted in conjunction with described
The coordinate and pest and disease damage severity information of sampling point carry out subregion to the target area, specifically:
It is tight that the currently coordinate of the cluster centre of each subregion and pest and disease damage are calculated according to current subordinated-degree matrix and each sampled point
Severe information, the element in the subordinated-degree matrix is for characterizing sampled point for the degree of membership of subregion；
According to the coordinate and pest and disease damage severity information and degree of membership square of each sampled point and the cluster centre of current each subregion
Battle array calculates the FCM objective function constructed in advance；
If objective function less than the relatively last objective function of the first preset threshold and/or objective function knots modification less than the
Two preset thresholds then correspond to the subregion of highest degree of membership as the sampled point institute according to sampled point in current subordinated-degree matrix
Subregion.
3. management method according to claim 2, which is characterized in that calculate current each subregion especially by following formula
The coordinate of cluster centre:
Wherein, uijIndicate that sampled point j belongs to the degree of membership of subregion i；xjIndicate the coordinate and pest and disease damage severity letter of sampled point j
Breath；M is Weighted Index, and value is not less than 1；ciIndicate the coordinate and pest and disease damage severity information of the cluster centre of subregion i.
4. management method according to claim 2, which is characterized in that the FCM objective function specifically:
Wherein, J indicates FCM objective function；U indicates subordinated-degree matrix；uijIndicate that sampled point j belongs to the degree of membership of subregion i；xjTable
Show the coordinate and pest and disease damage severity information of sampled point j；M is Weighted Index, and value is not less than 1；ciIn the cluster for indicating subregion i
The coordinate and pest and disease damage severity information of the heart；The sum of s expression subregion；λjIndicate j-th of Lagrange multiplier, n indicates sampling
The sum of point.
5. management method according to claim 2, which is characterized in that it is described to calculate the FCM objective function constructed in advance, it
Afterwards further include:
If objective function is not small not less than the knots modification of the first preset threshold and/or the relatively last objective function of objective function
In the second preset threshold, then subordinating degree function is updated according to the following formula:
Wherein, uijIndicate that sampled point j belongs to the degree of membership of subregion i；xjIndicate the coordinate and pest and disease damage severity letter of sampled point j
Breath；M is Weighted Index, and value is not less than 1；ciIndicate the coordinate and pest and disease damage severity information of the cluster centre of subregion i, s table
Show the sum of subregion；
According to the coordinate and pest and disease damage severity information and degree of membership square of each sampled point and the cluster centre of current each subregion
Battle array calculates the FCM objective function constructed in advance；Until objective function less than the first preset threshold and/or objective function relatively on
The knots modification of objective function is less than the second preset threshold.
6. management method according to claim 1, which is characterized in that the pest and disease damage severity information according to each subregion
Determine corresponding formulation rate, specifically:
For any one subregion, the average pest and disease damage severity information of the subregion is calculated；
According to preset pest and disease damage Seriousness gradation standard, in conjunction with described in the average pest and disease damage severity information determination of the subregion
The pest and disease damage grade of subregion；
According to the corresponding relationship of preset pest and disease damage Seriousness gradation standard and formulation rate, the formulation rate of the subregion is determined, it is raw
At the application spirogram of different subregions.
7. management method according to claim 1, which is characterized in that the pest and disease damage severity information according to each subregion
Determine corresponding formulation rate, later further include:
The application spirogram is formatted, is input in unmanned plane embedded GIS, application spirogram coordinate is obtained
System, so that unmanned plane executes spray drug operation according to the application spirogram coordinate system.
8. a kind of crop disease and insect subregion variable managing device characterized by comprising
Sampling module, for obtaining the coordinate and pest and disease damage severity information of each sampled point in target area according to remote sensing image；
Division module is used for according to fuzzy clustering algorithm, in conjunction with the coordinate and pest and disease damage severity information of each sampled point, to institute
It states target area and carries out subregion；
Formulation rate determining module, for determining corresponding formulation rate according to the pest and disease damage severity information of each subregion.
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 the processor realizes method as described in any one of claim 1 to 7 when executing described program.
10. a kind of non-transient computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer
Method as described in any one of claim 1 to 7 is realized when program is executed by processor.
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| CN114651799A (en) * | 2022-03-08 | 2022-06-24 | 南京工程学院 | Liquid medicine spraying method of flight equipment and flight equipment |
| CN117151353A (en) * | 2023-11-01 | 2023-12-01 | 广东省农业科学院植物保护研究所 | Intelligent litchi pest identification and ecological regulation method, system and medium |
| CN117151353B (en) * | 2023-11-01 | 2024-04-26 | 广东省农业科学院植物保护研究所 | Intelligent litchi pest identification and ecological regulation method, system and medium |
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