CN111539372A - Method, equipment, storage medium and device for monitoring pest and disease damage distribution - Google Patents
Method, equipment, storage medium and device for monitoring pest and disease damage distribution Download PDFInfo
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Abstract
The invention relates to the technical field of monitoring of pest and disease damage distribution, and discloses a method, equipment, a storage medium and a device for monitoring pest and disease damage distribution. The method comprises the steps of obtaining geographical position information of a farmland to be displayed; searching corresponding reference farmland pest and disease damage image information according to the geographical position information; obtaining current farmland image information of a farmland to be displayed, and comparing the current farmland image information with the reference farmland pest and disease damage image information; determining sample farmland pest image information in the reference farmland pest image information according to the comparison result; according to sample farmland plant diseases and insect pests image information obtains the plant diseases and insect pests distribution information of waiting to demonstrate the farmland to monitor the plant diseases and insect pests distribution information of waiting to demonstrate the farmland in real time through the geographical position information of waiting to demonstrate the farmland, avoid carrying out data entry through the manual work, reach the purpose that improves farmland plant diseases and insect pests monitoring efficiency.
Description
Technical Field
The invention relates to the technical field of monitoring of pest and disease damage distribution, in particular to a method, equipment, a storage medium and a device for monitoring pest and disease damage distribution.
Background
Modern agriculture focuses on precision agriculture, namely the most advanced technology is applied to agricultural production, so that the purposes of scientifically and reasonably utilizing agricultural resources, improving crop yield, reducing production cost, reducing environmental pollution and improving agricultural economic benefit are achieved, and a satellite navigation system is used as a spatial information infrastructure, is an important technical support of precision agriculture and is a key point for developing modern agriculture and realizing sustainable development of agriculture.
At present, the disease and pest distribution prediction is based on a Geographic Information System (GIS), that is, a computer technology System that inputs, stores, queries, retrieves, displays, comprehensively analyzes and applies various Geographic Information according to spatial distribution or Geographic coordinates in a certain format under the support of computer software and hardware, when a GIS technology is used for realizing the drawing of a farmland disease and pest distribution map, the Geographic position Information of a farmland needs to be collected firstly, in the GIS technology, Geographic data is generally collected manually and then recorded into the System, the farmland Geographic distribution in China is wide and varied, and if the data is collected and recorded in a manual mode, the problems of time consumption, low precision and incapability of monitoring the change of the farmland Information in real time exist.
Disclosure of Invention
The invention mainly aims to provide a method, equipment, a storage medium and a device for monitoring disease and pest distribution, and aims to improve the efficiency of farmland disease and pest monitoring.
In order to achieve the purpose, the invention provides a method for monitoring pest distribution, which comprises the following steps:
acquiring geographical position information of a farmland to be displayed;
searching corresponding reference farmland pest and disease damage image information according to the geographical position information;
obtaining current farmland image information of a farmland to be displayed, and comparing the current farmland image information with the reference farmland pest and disease damage image information;
determining sample farmland pest image information in the reference farmland pest image information according to the comparison result;
and obtaining pest and disease distribution information of the farmland to be displayed according to the sample farmland pest and disease image information.
Preferably, the obtaining of pest and disease distribution information of the farmland to be displayed according to the sample farmland pest and disease image information includes:
selecting sample point information and corresponding interpolation point information of the sample farmland pest and disease damage image information;
obtaining distance information of interpolation point information corresponding to the distance of the sample point information, and obtaining weight information according to the distance information;
obtaining interpolation information in the sample farmland disease and insect pest image information according to the sample information in the sample farmland disease and insect pest image information and the weight information;
interpolating the sample farmland disease and insect pest image information according to the interpolation information to obtain target farmland disease and insect pest image information;
and obtaining pest and disease distribution information of the farmland to be displayed according to the target farmland pest and disease image information.
Preferably, before obtaining distance information of interpolation point information corresponding to the distance between the sample point information and the interpolation point information and obtaining weight information according to the distance information, the method further includes:
acquiring elevation difference information of the sample point information and corresponding interpolation point information and quantity information of sample points;
the obtaining of the distance information of the interpolation point information corresponding to the distance between the sample point information and the interpolation point information and the obtaining of the weight information according to the distance information include:
obtaining distance information of interpolation point information corresponding to the distance of the sample point information;
and obtaining weight information according to the distance information, the elevation difference information and the quantity information.
Preferably, before obtaining the weight information according to the distance information, the elevation difference information and the quantity information, the method further includes:
acquiring historical farmland pest and disease damage image information and historical weight index information;
obtaining historical farmland pest interpolation information according to the historical farmland pest image information and the historical weight index information;
comparing the historical farmland disease and insect pest interpolation information with actual farmland disease and insect pest information, and obtaining target weight index information according to a comparison result;
obtaining weight information according to the distance information, the elevation difference information and the quantity information comprises:
and obtaining weight information according to the distance information, the elevation difference information, the quantity information and the target weight index information.
Preferably, the obtaining of the pest and disease distribution information of the farmland to be displayed according to the target farmland pest and disease image information includes:
acquiring a export grid instruction, and converting the target farmland pest image information into grid image information according to the export grid instruction;
acquiring pest damage degree information corresponding to the target farmland pest damage image information, and according to the region information of the pest damage degree information corresponding to the grid image information;
and masking the raster image information according to the region information to obtain pest and disease distribution information of the farmland to be displayed.
Preferably, the obtaining of the current farmland image information of the farmland to be displayed compares the current farmland image information with the reference farmland pest image information, and includes:
acquiring current farmland image information of a farmland to be displayed, and respectively extracting pest image information of a preset area in the current farmland image information;
carrying out image enhancement and graying on the insect pest image information to obtain processed insect pest image information;
extracting image characteristic information in the processed insect pest image information, and clustering the image characteristic information to obtain clustered image characteristic information;
and comparing the clustered image characteristic information with the reference farmland pest and disease damage image information.
Preferably, before the obtaining of the geographical location information of the farmland to be shown, the method further comprises:
calling a Beidou satellite navigation system, wherein the Beidou satellite navigation system has a multi-frequency signal;
and acquiring the geographical position information of the farmland to be displayed through the Beidou satellite navigation system.
In addition, in order to achieve the above object, the present invention further provides a device for monitoring distribution of plant diseases and insect pests, comprising: the monitoring method comprises a memory, a processor and a monitoring program stored on the memory and running on the processor, wherein the monitoring program of the pest distribution realizes the steps of the monitoring method of the pest distribution when being executed by the processor.
In addition, in order to achieve the above object, the present invention further provides a storage medium, on which a monitoring program of pest distribution is stored, and the monitoring program of pest distribution, when executed by a processor, implements the steps of the method for monitoring pest distribution as described above.
In addition, in order to achieve the above object, the present invention further provides a device for monitoring distribution of plant diseases and insect pests, comprising:
the acquisition module is used for acquiring the geographical position information of the farmland to be displayed;
the searching module is used for searching corresponding reference farmland pest and disease damage image information according to the geographical position information;
the comparison module is used for acquiring the current farmland image information of the farmland to be displayed and comparing the current farmland image information with the reference farmland pest and disease damage image information;
the determining module is used for determining sample farmland pest image information in the reference farmland pest image information according to the comparison result;
and the determining module is also used for obtaining pest and disease distribution information of the farmland to be displayed according to the sample farmland pest and disease image information.
According to the technical scheme provided by the invention, the geographical position information of the farmland to be displayed is obtained; searching corresponding reference farmland pest and disease damage image information according to the geographical position information; obtaining current farmland image information of a farmland to be displayed, and comparing the current farmland image information with the reference farmland pest and disease damage image information; determining sample farmland pest image information in the reference farmland pest image information according to the comparison result; according to sample farmland plant diseases and insect pests image information obtains the plant diseases and insect pests distribution information of waiting to demonstrate the farmland to monitor the plant diseases and insect pests distribution information of waiting to demonstrate the farmland in real time through the geographical position information of waiting to demonstrate the farmland, avoid carrying out data entry through the manual work, reach the purpose that improves farmland plant diseases and insect pests monitoring efficiency.
Drawings
FIG. 1 is a schematic structural diagram of a monitoring device for pest and disease damage distribution in a hardware operating environment according to an embodiment of the invention;
FIG. 2 is a schematic flow chart of a first embodiment of a method for monitoring pest distribution according to the present invention;
FIG. 3 is a schematic diagram of a farmland positioning structure according to an embodiment of the method for monitoring pest distribution of the present invention;
FIG. 4 is a schematic view of a pest identification process according to an embodiment of the pest distribution monitoring method of the present invention;
FIG. 5 is a schematic view of pest distribution in an embodiment of the method for monitoring pest distribution of the present invention;
FIG. 6 is a schematic view of an overall monitoring process of pest distribution according to an embodiment of the method for monitoring pest distribution of the present invention;
FIG. 7 is a schematic flow chart of a monitoring method for pest distribution according to a second embodiment of the present invention;
fig. 8 is a block diagram showing the structure of the first embodiment of the monitoring device for pest distribution according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a monitoring device for pest and disease damage distribution in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the monitoring apparatus for pest distribution may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), the optional user interface 1003 may also include a standard wired interface and a wireless interface, and the wired interface of the user interface 1003 may be a Universal Serial Bus (USB) interface in the present invention. The network interface 1004 may optionally include a standard wired interface as well as a wireless interface (e.g., WI-FI interface). The Memory 1005 may be a high speed Random Access Memory (RAM); or a stable Memory, such as a Non-volatile Memory (Non-volatile Memory), and may be a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
It will be appreciated by those skilled in the art that the configuration shown in fig. 1 does not constitute a limitation of the monitoring device for pest distribution and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a monitoring program of pest distribution.
In the monitoring device for pest and disease damage distribution shown in fig. 1, the network interface 1004 is mainly used for connecting a background server and performing data communication with the background server; the user interface 1003 is mainly used for connecting peripheral equipment; the monitoring device for pest distribution calls a monitoring program for pest distribution stored in the memory 1005 through the processor 1001, and executes the monitoring method for pest distribution provided by the embodiment of the invention.
Based on the hardware structure, the embodiment of the monitoring method for the pest and disease damage distribution is provided.
Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the pest distribution monitoring method of the present invention.
In a first embodiment, the method for monitoring pest distribution comprises the following steps:
step S10: and acquiring the geographical position information of the farmland to be displayed.
It should be noted that the execution main body of the embodiment is monitoring equipment for pest distribution, and may also be other equipment capable of implementing the same or similar functions.
In this embodiment, be equipped with big dipper satellite navigation system receiver on the monitoring facilities that the plant diseases and insect pests distributed, can receive through big dipper satellite navigation system receiver the geographical positional information of the farmland of waiting to demonstrate is gathered to big dipper satellite navigation system, can gather the accurate geographical positional information of waiting to demonstrate the farmland through big dipper satellite navigation system.
In a specific implementation, a Beidou satellite navigation system is called, and the Beidou satellite navigation system has a multi-frequency signal; the Beidou satellite navigation system collects the geographical position information of the farmland to be shown, the multi-frequency signal can be a three-frequency signal, so that the accurate positioning of the geographical position of the farmland is realized, the three-frequency signal can also be used for positioning the farmland to be shown through other frequency band signals which normally work under the condition that a signal of one frequency band has a fault, so that the accuracy of the positioning geographical position information is improved, because the Beidou satellite navigation system can carry out satellite positioning, shooting and unmanned aerial vehicle control, in some deep mountain forest lands with weak signals, because the Beidou satellite navigation system has a three-frequency signal service function, the anti-interference capability is stronger, the farmland under complex geographical environments such as deep hills and the like has a good monitoring effect, in the complex farmland environments, the result difference is often caused by errors of several meters, and the accurate positioning in 10m of the Beidou satellite navigation system obviously has higher accuracy compared with manually collected GIS data, the error range is greatly reduced.
It can be understood that like the farmland location structure schematic diagram that fig. 3 shows, be equipped with big dipper data receiver and big dipper satellite in the farmland and pass through three frequency signal connection, the airborne computer that is located on the monitoring facilities that the plant diseases and insect pests distributed is connected with big dipper data receiver, reads the geographical position information of waiting to demonstrate the farmland on big dipper data receiver.
In the concrete implementation, the Beidou data receiver can analyze the received Beidou satellite signals in a decoding or other mode, because the position of the satellite is accurately known, the distance from the satellite to the receiver can be obtained in the satellite observation of the receiver, 3 equations can be formed by utilizing a distance formula in a three-dimensional coordinate and 3 satellites to solve the position information (X, Y and Z) of a farmland, an airborne computer reads dynamic data of longitude and latitude coordinates of the position of an antenna of the Beidou data receiver installed in the farmland, records and stores the position, in addition, the Beidou satellite navigation system has a three-frequency signal service function, errors generated in the positioning process can be effectively eliminated through three signals with different frequencies, and the signals with a plurality of frequencies can be changed into other signals when a certain frequency signal has a problem, so that the reliability and the anti-interference capability of the positioning system are improved, the method has a good monitoring effect on farmlands distributed in complex mountainous geographical environments.
Step S20: and searching corresponding reference farmland pest and disease damage image information according to the geographical position information.
In this embodiment, there is field plant diseases and insect pests image database among the monitoring facilities that the plant diseases and insect pests distributed, according to geographical position information is in look for corresponding reference farmland plant diseases and insect pests image information in the field plant diseases and insect pests image database, various farmland plant diseases and insect pests image information and the farmland plant diseases and insect pests severity that correspond in the field plant diseases and insect pests image database go out reference farmland plant diseases and insect pests image information through the matching in the field plant diseases and insect pests image database to obtain the farmland plant diseases and insect pests severity information of waiting to demonstrate the farmland through reference farmland plant diseases and insect pests image information and the farmland plant diseases and insect pests severity information that corresponds.
In order to establish a field disease and insect pest image database, the Beidou system is connected with high-quality camera equipment to acquire image information of a historical farmland, the field disease and insect pest image database is established according to the collected historical farmland disease and insect pest information image information, the field disease and insect pest condition can be judged nondestructively, quickly and in real time by using a relevant algorithm of a computer vision technology on the acquired historical farmland image information, and the identified severity of the historical farmland disease and insect pest is also stored in the field disease and insect pest image database.
It can be understood that, in order to improve the accuracy of the identification, the current season information and the time information can be acquired, and multi-azimuth data matching is performed in the field pest image database through the current season information, the time information and the geographic position information, for example, when the current season is in autumn, the image information in the field pest image database is located according to the autumn information, then matching is performed in the field pest image database after season matching according to the position information, and the accuracy and the efficiency of the image identification are improved.
Step S30: and acquiring current farmland image information of a farmland to be displayed, and comparing the current farmland image information with the reference farmland pest and disease damage image information.
In the specific implementation, pest image information of a preset area in current farmland image information is respectively extracted by acquiring the current farmland image information of a farmland to be displayed, wherein the preset area comprises a suspected pest area part; carrying out image enhancement and graying on the insect pest image information to obtain processed insect pest image information; extracting image characteristic information in the processed insect pest image information, and clustering the image characteristic information to obtain clustered image characteristic information, wherein the image characteristic information comprises at least one of color characteristics, shape characteristics and texture characteristics; comparing the clustered image characteristic information with the reference farmland pest image information, namely, performing integral scanning on the image, capturing and image enhancing on a suspected pest area part, and performing gray processing; extracting the digital characteristics of the current image information, such as color characteristics, shape characteristics, texture characteristics and the like; traversing pest and disease damage sample data in a database by using a computer pattern matching algorithm, setting a characteristic matching threshold value, counting characteristic points and clustering; and outputting a pest sample with the highest similarity and synchronously outputting the pest damage degree, wherein the characteristic matching threshold can be 90%, and other parameter information can be used, which is not limited in the embodiment.
Step S40: and determining sample farmland pest image information in the reference farmland pest image information according to the comparison result.
According to the pest and disease damage identification flow diagram shown in fig. 4, the current farmland image information of the farmland to be displayed is matched with the field pest and disease damage image database through a pest and disease damage identification algorithm to obtain pest and disease damage information, so that automatic identification of pest and disease damage is realized, and data input through manual work is avoided.
Step S50: and obtaining pest and disease distribution information of the farmland to be displayed according to the sample farmland pest and disease image information.
In this embodiment, according to the big dipper to the location information in farmland and the plant diseases and insect pests identification information in computer vision technique to the farmland, still can draw the distribution condition of the plant diseases and insect pests severity in farmland through plant diseases and insect pests distribution information.
In a specific implementation, the pest and disease data is analyzed by using an interpolation method in a spatial interpolation method, where the interpolation method may be an inverse distance weight interpolation method, or may also be another interpolation method, which is not limited in this embodiment, the inverse distance weight interpolation method is a method of performing a weighted mean value by using a distance between an interpolation point and a sample point as a weight, and finally predicting an unknown point, where a larger weight is given to a sample point in a known range close to the interpolation point, the more a curve obtained by fitting is matched, the smaller a mean square value is, the better a result is, and after performing mask analysis on a raster image obtained by interpolation, the pest and disease data is classified to obtain a pest and disease distribution map, such as a pest and disease distribution map shown in fig. 5.
As shown in fig. 6 monitoring overall flow diagram of pest distribution, including program control, farmland position detection, farmland pest identification and pest distribution diagram drawing, be equipped with the monitoring program that the pest distributes on the machine carries the computer, detect the monitoring to the pest distribution through start-up procedure, loading map and farmland, to farmland position detection, obtain longitude and latitude coordinate information through big dipper data reception, in farmland pest identification stage, obtain farmland image information through high definition camera equipment, and match farmland image information with the data in the original save database, realize the identification of pest, in pest distribution diagram drawing stage, carry out the drawing of pest distribution diagram through anti-distance weight interpolation method, obtain the pest distribution diagram.
In this embodiment, connect high quality video camera system through beidou system and shoot the analysis image, can collect raw data, monitor field crop, obtain field pest distribution size position to can confirm the migratory flight route, population quantity and the harm degree of pest through shooing gradually, and pest development direction and popular trend.
According to the scheme, the geographical position information of the farmland to be displayed is acquired; searching corresponding reference farmland pest and disease damage image information according to the geographical position information; obtaining current farmland image information of a farmland to be displayed, and comparing the current farmland image information with the reference farmland pest and disease damage image information; determining sample farmland pest image information in the reference farmland pest image information according to the comparison result; according to sample farmland plant diseases and insect pests image information obtains the plant diseases and insect pests distribution information of waiting to demonstrate the farmland to monitor the plant diseases and insect pests distribution information of waiting to demonstrate the farmland in real time through the geographical position information of waiting to demonstrate the farmland, avoid carrying out data entry through the manual work, reach the purpose that improves farmland plant diseases and insect pests monitoring efficiency.
Referring to fig. 7, fig. 7 is a schematic flow chart of a second embodiment of the method for monitoring pest distribution according to the present invention, and the second embodiment of the method for monitoring pest distribution according to the present invention is proposed based on the first embodiment shown in fig. 2.
In the second embodiment, the step S50 includes:
and S501, selecting sample point information and corresponding interpolation point information of the sample farmland pest and disease damage image information.
It should be noted that the sample point information of the sample farmland pest image information is only a few image information, and in order to obtain complete image information within a certain time period, predicted insertion point information can be inserted into the sample farmland pest image information in an interpolation manner, so that target farmland pest image information is obtained.
In the specific implementation, the sample point information and the corresponding interpolation point information of the sample farmland pest and disease damage image information are selected, the corresponding interpolation point information is the interpolation point information needing to be inserted, and the prediction and the insertion of the interpolation information are realized through the sample point information and the corresponding interpolation point information.
Step S502, obtaining distance information of the interpolation point information corresponding to the distance of the sample point information, and obtaining weight information according to the distance information.
It can be understood that the weight information is obtained from the distance between the interpolation point and the sample point by the following formula (one):
wherein λ isiWeight information of the ith sample point is represented, d represents distance information between the sample point information and the interpolation point information, N represents the number of the sample point information, and b represents a weight index.
And S503, obtaining interpolation information in the sample farmland disease and insect pest image information according to the sample information in the sample farmland disease and insect pest image information and the weight information.
In a specific implementation, the interpolation information in the sample farmland pest image information is obtained according to the sample information in the sample farmland pest image information and the weight information by the following formula (II):
wherein, P0Representing interpolation information, P, in the sample farmland pest image informationiAnd representing the sample information in the sample farmland pest and disease damage image information.
And S504, interpolating the sample farmland disease and insect pest image information according to the interpolation information to obtain target farmland disease and insect pest image information.
And S505, obtaining pest and disease distribution information of the farmland to be displayed according to the target farmland pest and disease image information.
In an embodiment, the damage degree information of the farmland to be displayed can be obtained according to the target farmland pest image information, the pest distribution information of the farmland to be displayed can be obtained according to the damage degree information, the sample farmland pest image information can be used for searching a field pest image database to obtain corresponding damage degree information, and the pest distribution information of the farmland to be displayed can be obtained according to the damage degree information.
Further, before the step S502, the method further includes:
and acquiring elevation difference information of the sample point information and the corresponding interpolation point information and quantity information of the sample points.
In specific implementation, the distance of the sample point information and the corresponding interpolation point information are corrected through the elevation difference information, so that the accuracy of the weight information is ensured.
The step S502 includes:
obtaining distance information of interpolation point information corresponding to the distance of the sample point information; and obtaining weight information according to the distance information, the elevation difference information and the quantity information.
In the present embodiment, weight information is obtained from the distance information, the elevation difference information, and the quantity information by the following formula (three):
wherein, Delta EiAnd elevation difference information representing the distance between the sample point information and the corresponding interpolation point information.
Further, before obtaining the weight information according to the distance information, the elevation difference information, and the quantity information, the method further includes:
acquiring historical farmland pest and disease damage image information and historical weight index information; obtaining historical farmland pest interpolation information according to the historical farmland pest image information and the historical weight index information; and comparing the historical farmland disease and insect pest interpolation information with actual farmland disease and insect pest information, and obtaining target weight index information according to a comparison result.
Obtaining weight information according to the distance information, the elevation difference information and the quantity information comprises:
and obtaining weight information according to the distance information, the elevation difference information, the quantity information and the target weight index information.
Further, the step S505 includes:
acquiring a export grid instruction, and converting the target farmland pest image information into grid image information according to the export grid instruction; acquiring pest damage degree information corresponding to the target farmland pest damage image information, and according to the region information of the pest damage degree information corresponding to the grid image information; and masking the raster image information according to the region information to obtain pest and disease distribution information of the farmland to be displayed.
In the embodiment, after the grid image obtained by interpolation is subjected to mask analysis, the pest and disease data are classified to obtain the equivalent distribution map of the pest and disease condition, so that the pest and disease distribution map is automatically formed, and the data processing efficiency is improved.
According to the embodiment, through the scheme, the distance information of the interpolation point information corresponding to the distance of the sample point information is obtained, the weight information is obtained according to the distance information, and the sample farmland pest image information is interpolated according to the weight information, so that pest distribution information of a farmland to be displayed is obtained, and omnibearing pest distribution is realized.
In addition, an embodiment of the present invention further provides a storage medium, where a monitoring program of pest distribution is stored on the storage medium, and the monitoring program of pest distribution is executed by a processor to implement the steps of the terminal network access method described above.
Since the storage medium adopts all technical solutions of all the embodiments, at least all the beneficial effects brought by the technical solutions of the embodiments are achieved, and no further description is given here.
In addition, referring to fig. 8, an embodiment of the present invention further provides a device for monitoring pest distribution, where the device for monitoring pest distribution includes:
the acquisition module 10 is configured to acquire geographical location information of a farmland to be displayed.
In this embodiment, be equipped with big dipper satellite navigation system receiver on the monitoring facilities that the plant diseases and insect pests distributed, can receive through big dipper satellite navigation system receiver the geographical positional information of the farmland of waiting to demonstrate is gathered to big dipper satellite navigation system, can gather the accurate geographical positional information of waiting to demonstrate the farmland through big dipper satellite navigation system.
In a specific implementation, a Beidou satellite navigation system is called, and the Beidou satellite navigation system has a multi-frequency signal; the Beidou satellite navigation system collects the geographical position information of the farmland to be shown, the multi-frequency signal can be a three-frequency signal, so that the accurate positioning of the geographical position of the farmland is realized, the three-frequency signal can also be used for positioning the farmland to be shown through other frequency band signals which normally work under the condition that a signal of one frequency band has a fault, so that the accuracy of the positioning geographical position information is improved, because the Beidou satellite navigation system can carry out satellite positioning, shooting and unmanned aerial vehicle control, in some deep mountain forest lands with weak signals, because the Beidou satellite navigation system has a three-frequency signal service function, the anti-interference capability is stronger, the farmland under complex geographical environments such as deep hills and the like has a good monitoring effect, in the complex farmland environments, the result difference is often caused by errors of several meters, and the accurate positioning in 10m of the Beidou satellite navigation system obviously has higher accuracy compared with manually collected GIS data, the error range is greatly reduced.
It can be understood that like the farmland location structure schematic diagram that fig. 3 shows, be equipped with big dipper data receiver and big dipper satellite in the farmland and pass through three frequency signal connection, the airborne computer that is located on the monitoring facilities that the plant diseases and insect pests distributed is connected with big dipper data receiver, reads the geographical position information of waiting to demonstrate the farmland on big dipper data receiver.
In the concrete implementation, the Beidou data receiver can analyze the received Beidou satellite signals in a decoding or other mode, because the position of the satellite is accurately known, the distance from the satellite to the receiver can be obtained in the satellite observation of the receiver, 3 equations can be formed by utilizing a distance formula in a three-dimensional coordinate and 3 satellites to solve the position information (X, Y and Z) of a farmland, an airborne computer reads dynamic data of longitude and latitude coordinates of the position of an antenna of the Beidou data receiver installed in the farmland, records and stores the position, in addition, the Beidou satellite navigation system has a three-frequency signal service function, errors generated in the positioning process can be effectively eliminated through three signals with different frequencies, and the signals with a plurality of frequencies can be changed into other signals when a certain frequency signal has a problem, so that the reliability and the anti-interference capability of the positioning system are improved, the method has a good monitoring effect on farmlands distributed in complex mountainous geographical environments.
And the searching module 20 is used for searching the corresponding reference farmland pest and disease damage image information according to the geographical position information.
In this embodiment, there is field plant diseases and insect pests image database among the monitoring facilities that the plant diseases and insect pests distributed, according to geographical position information is in look for corresponding reference farmland plant diseases and insect pests image information in the field plant diseases and insect pests image database, various farmland plant diseases and insect pests image information and the farmland plant diseases and insect pests severity that correspond in the field plant diseases and insect pests image database go out reference farmland plant diseases and insect pests image information through the matching in the field plant diseases and insect pests image database to obtain the farmland plant diseases and insect pests severity information of waiting to demonstrate the farmland through reference farmland plant diseases and insect pests image information and the farmland plant diseases and insect pests severity information that corresponds.
In order to establish a field disease and insect pest image database, the Beidou system is connected with high-quality camera equipment to acquire image information of a historical farmland, the field disease and insect pest image database is established according to the collected historical farmland disease and insect pest information image information, the field disease and insect pest condition can be judged nondestructively, quickly and in real time by using a relevant algorithm of a computer vision technology on the acquired historical farmland image information, and the identified severity of the historical farmland disease and insect pest is also stored in the field disease and insect pest image database.
It can be understood that, in order to improve the accuracy of the identification, the current season information and the time information can be acquired, and multi-azimuth data matching is performed in the field pest image database through the current season information, the time information and the geographic position information, for example, when the current season is in autumn, the image information in the field pest image database is located according to the autumn information, then matching is performed in the field pest image database after season matching according to the position information, and the accuracy and the efficiency of the image identification are improved.
And the comparison module 30 is used for acquiring the current farmland image information of the farmland to be displayed and comparing the current farmland image information with the reference farmland pest and disease damage image information.
In the specific implementation, pest image information of a preset area in current farmland image information is respectively extracted by acquiring the current farmland image information of a farmland to be displayed, wherein the preset area comprises a suspected pest area part; carrying out image enhancement and graying on the insect pest image information to obtain processed insect pest image information; extracting image characteristic information in the processed insect pest image information, and clustering the image characteristic information to obtain clustered image characteristic information, wherein the image characteristic information comprises at least one of color characteristics, shape characteristics and texture characteristics; comparing the clustered image characteristic information with the reference farmland pest image information, namely, performing integral scanning on the image, capturing and image enhancing on a suspected pest area part, and performing gray processing; extracting the digital characteristics of the current image information, such as color characteristics, shape characteristics, texture characteristics and the like; traversing pest and disease damage sample data in a database by using a computer pattern matching algorithm, setting a characteristic matching threshold value, counting characteristic points and clustering; and outputting a pest sample with the highest similarity and synchronously outputting the pest damage degree, wherein the characteristic matching threshold can be 90%, and other parameter information can be used, which is not limited in the embodiment.
And the determining module 40 is used for determining the sample farmland pest image information in the reference farmland pest image information according to the comparison result.
According to the pest and disease damage identification flow diagram shown in fig. 4, the current farmland image information of the farmland to be displayed is matched with the field pest and disease damage image database through a pest and disease damage identification algorithm to obtain pest and disease damage information, so that automatic identification of pest and disease damage is realized, and data input through manual work is avoided.
And the determining module 40 is further configured to obtain pest and disease distribution information of the farmland to be displayed according to the sample farmland pest and disease image information.
In this embodiment, according to the big dipper to the location information in farmland and the plant diseases and insect pests identification information in computer vision technique to the farmland, still can draw the distribution condition of the plant diseases and insect pests severity in farmland through plant diseases and insect pests distribution information.
In a specific implementation, the pest and disease data is analyzed by using an interpolation method in a spatial interpolation method, where the interpolation method may be an inverse distance weight interpolation method, or may also be another interpolation method, which is not limited in this embodiment, the inverse distance weight interpolation method is a method of performing a weighted mean value by using a distance between an interpolation point and a sample point as a weight, and finally predicting an unknown point, where a larger weight is given to a sample point in a known range close to the interpolation point, the more a curve obtained by fitting is matched, the smaller a mean square value is, the better a result is, and after performing mask analysis on a raster image obtained by interpolation, the pest and disease data is classified to obtain a pest and disease distribution map, such as a pest and disease distribution map shown in fig. 5.
As shown in fig. 6 monitoring overall flow diagram of pest distribution, including program control, farmland position detection, farmland pest identification and pest distribution diagram drawing, be equipped with the monitoring program that the pest distributes on the machine carries the computer, detect the monitoring to the pest distribution through start-up procedure, loading map and farmland, to farmland position detection, obtain longitude and latitude coordinate information through big dipper data reception, in farmland pest identification stage, obtain farmland image information through high definition camera equipment, and match farmland image information with the data in the original save database, realize the identification of pest, in pest distribution diagram drawing stage, carry out the drawing of pest distribution diagram through anti-distance weight interpolation method, obtain the pest distribution diagram.
In this embodiment, connect high quality video camera system through beidou system and shoot the analysis image, can collect raw data, monitor field crop, obtain field pest distribution size position to can confirm the migratory flight route, population quantity and the harm degree of pest through shooing gradually, and pest development direction and popular trend.
According to the scheme, the geographical position information of the farmland to be displayed is acquired; searching corresponding reference farmland pest and disease damage image information according to the geographical position information; obtaining current farmland image information of a farmland to be displayed, and comparing the current farmland image information with the reference farmland pest and disease damage image information; determining sample farmland pest image information in the reference farmland pest image information according to the comparison result; according to sample farmland plant diseases and insect pests image information obtains the plant diseases and insect pests distribution information of waiting to demonstrate the farmland to monitor the plant diseases and insect pests distribution information of waiting to demonstrate the farmland in real time through the geographical position information of waiting to demonstrate the farmland, avoid carrying out data entry through the manual work, reach the purpose that improves farmland plant diseases and insect pests monitoring efficiency.
The monitoring device for pest and disease damage distribution adopts all technical schemes of all the embodiments, so that all the beneficial effects brought by the technical schemes of the embodiments are at least achieved, and detailed description is omitted.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A monitoring method for pest distribution is characterized by comprising the following steps:
acquiring geographical position information of a farmland to be displayed;
searching corresponding reference farmland pest and disease damage image information according to the geographical position information;
obtaining current farmland image information of a farmland to be displayed, and comparing the current farmland image information with the reference farmland pest and disease damage image information;
determining sample farmland pest image information in the reference farmland pest image information according to the comparison result;
and obtaining pest and disease distribution information of the farmland to be displayed according to the sample farmland pest and disease image information.
2. A method of monitoring pest distribution according to claim 1 wherein obtaining pest distribution information for a field to be displayed according to the sample field pest image information includes:
selecting sample point information and corresponding interpolation point information of the sample farmland pest and disease damage image information;
obtaining distance information of interpolation point information corresponding to the distance of the sample point information, and obtaining weight information according to the distance information;
obtaining interpolation information in the sample farmland disease and insect pest image information according to the sample information in the sample farmland disease and insect pest image information and the weight information;
interpolating the sample farmland disease and insect pest image information according to the interpolation information to obtain target farmland disease and insect pest image information;
and obtaining pest and disease distribution information of the farmland to be displayed according to the target farmland pest and disease image information.
3. A pest distribution monitoring method according to claim 2, wherein before obtaining distance information of the sample point information from corresponding interpolation point information and obtaining weight information according to the distance information, the method further comprises:
acquiring elevation difference information of the sample point information and corresponding interpolation point information and quantity information of sample points;
the obtaining of the distance information of the interpolation point information corresponding to the distance between the sample point information and the interpolation point information and the obtaining of the weight information according to the distance information include:
obtaining distance information of interpolation point information corresponding to the distance of the sample point information;
and obtaining weight information according to the distance information, the elevation difference information and the quantity information.
4. A method of monitoring a pest distribution according to claim 3 wherein, prior to deriving weighting information from the distance information, elevation difference information and quantity information, the method further comprises:
acquiring historical farmland pest and disease damage image information and historical weight index information;
obtaining historical farmland pest interpolation information according to the historical farmland pest image information and the historical weight index information;
comparing the historical farmland disease and insect pest interpolation information with actual farmland disease and insect pest information, and obtaining target weight index information according to a comparison result;
obtaining weight information according to the distance information, the elevation difference information and the quantity information comprises:
and obtaining weight information according to the distance information, the elevation difference information, the quantity information and the target weight index information.
5. A method of monitoring pest distribution according to claim 2 wherein obtaining pest distribution information for a field to be displayed based on the target field pest image information includes:
acquiring a export grid instruction, and converting the target farmland pest image information into grid image information according to the export grid instruction;
acquiring pest damage degree information corresponding to the target farmland pest damage image information, and according to the region information of the pest damage degree information corresponding to the grid image information;
and masking the raster image information according to the region information to obtain pest and disease distribution information of the farmland to be displayed.
6. A pest distribution monitoring method according to any one of claims 1 to 5 wherein the obtaining of current farmland image information of a farmland to be displayed and comparing the current farmland image information with the reference farmland pest image information comprises:
acquiring current farmland image information of a farmland to be displayed, and respectively extracting pest image information of a preset area in the current farmland image information;
carrying out image enhancement and graying on the insect pest image information to obtain processed insect pest image information;
extracting image characteristic information in the processed insect pest image information, and clustering the image characteristic information to obtain clustered image characteristic information;
and comparing the clustered image characteristic information with the reference farmland pest and disease damage image information.
7. A pest distribution monitoring method according to any one of claims 1 to 5 wherein, prior to obtaining geographical location information for the field to be displayed, the method further includes:
calling a Beidou satellite navigation system, wherein the Beidou satellite navigation system has a multi-frequency signal;
and acquiring the geographical position information of the farmland to be displayed through the Beidou satellite navigation system.
8. The utility model provides a monitoring facilities of plant diseases and insect pests distribution which characterized in that, monitoring facilities of plant diseases and insect pests distribution includes: a memory, a processor and a monitoring program stored on the memory and running on the processor for pest distribution, the monitoring program for pest distribution when executed by the processor implementing the steps of the method for monitoring pest distribution according to any one of claims 1 to 7.
9. A storage medium having stored thereon a pest distribution monitoring program that, when executed by a processor, implements the steps of the pest distribution monitoring method according to any one of claims 1 to 7.
10. The utility model provides a monitoring devices of plant diseases and insect pests distribution which characterized in that, monitoring devices of plant diseases and insect pests distribution includes:
the acquisition module is used for acquiring the geographical position information of the farmland to be displayed;
the searching module is used for searching corresponding reference farmland pest and disease damage image information according to the geographical position information;
the comparison module is used for acquiring the current farmland image information of the farmland to be displayed and comparing the current farmland image information with the reference farmland pest and disease damage image information;
the determining module is used for determining sample farmland pest image information in the reference farmland pest image information according to the comparison result;
and the determining module is also used for obtaining pest and disease distribution information of the farmland to be displayed according to the sample farmland pest and disease image information.
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