CN112528814A - Harmful organism monitoring and early warning method and system and storage medium - Google Patents

Harmful organism monitoring and early warning method and system and storage medium Download PDF

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CN112528814A
CN112528814A CN202011407859.6A CN202011407859A CN112528814A CN 112528814 A CN112528814 A CN 112528814A CN 202011407859 A CN202011407859 A CN 202011407859A CN 112528814 A CN112528814 A CN 112528814A
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pests
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personnel
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雷靖
董维
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Hunan Gaode Lianchuang Environmental Management Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01M—CATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
    • A01M1/00—Stationary means for catching or killing insects
    • A01M1/02—Stationary means for catching or killing insects with devices or substances, e.g. food, pheronones attracting the insects
    • A01M1/04—Attracting insects by using illumination or colours
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01M—CATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
    • A01M1/00—Stationary means for catching or killing insects
    • A01M1/10—Catching insects by using Traps
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
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    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components

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Abstract

The application relates to a pest monitoring and early warning method, a system and a storage medium, which relate to the field of pest control and solve the problem of untimely pest monitoring and comprise the following steps: starting a trap arranged at a monitoring point to attract and trap pests around; shooting an image of the pest in the trap; analyzing and acquiring the types of pests and the number of the pests of the corresponding types based on the shot pest images; estimating the number of different kinds of pests in a preset area based on the kinds of pests, the number of the pests of corresponding kinds, the external environment condition and the starting time of the trapper; if the number of partial kinds of pests in the preset area exceeds the preset number, analyzing a treatment scheme of the corresponding pests, and informing appropriate pest control personnel of the treatment scheme and the pest conditions. This application has improved the timely effectual monitoring effect to the insect pest.

Description

Harmful organism monitoring and early warning method and system and storage medium
Technical Field
The application relates to the field of pest control, in particular to a pest monitoring and early warning method, a pest monitoring and early warning system and a storage medium.
Background
The existing harmful organisms refer to organisms which are harmful to life, production and even survival of human beings under certain conditions; is an organism which is seriously damaged by captive animals, cultivated crops, flowers and seedlings due to large quantity.
The influence of pests in pests on plants such as agricultural and forestry crops is well known, and the commonly used control method mainly comprises mechanical capture or pesticide spraying, wherein the mechanical capture has certain passivity, so that the pesticide spraying has a good pest control effect, but the pesticide spraying has pollution to the environment and is dangerous for animals to eat by mistake, and the pesticide is also time-efficient, so that the pesticide spraying method mainly comprises the steps of spraying at the corresponding position when the pests occur; therefore, the method is very important for timely finding the occurrence of pests and determining the types of the pests.
At present, the monitoring of insect pests is carried out by observing the plants or crops to be protected manually and periodically.
In view of the above-mentioned related arts, the inventor believes that there are some defects that human observation makes mistakes on one hand, and that periodic observation is labor-consuming and may affect the monitoring effect on insect pests in short time when the area to be observed is large on the other hand.
Disclosure of Invention
In order to improve the timely and effective monitoring effect on pests, the application provides a pest monitoring and early warning method, a pest monitoring and early warning system and a storage medium.
In a first aspect, the present application provides a pest monitoring and early warning method, which adopts the following technical scheme:
a pest monitoring and early warning method, comprising:
starting a trap arranged at a monitoring point to attract and trap pests around;
shooting an image of the pest in the trap;
analyzing and acquiring the types of pests and the number of the pests of the corresponding types based on the shot pest images;
estimating the number of different kinds of pests in a preset area based on the kinds of pests, the number of the pests of corresponding kinds, the external environment condition and the starting time of the trapper;
if the number of partial kinds of pests in the preset area exceeds the preset number, analyzing a treatment scheme of the corresponding pests, and informing appropriate pest control personnel of the treatment scheme and the pest conditions.
Through adopting above-mentioned technical scheme, when having realized the traping to the pest through the trapper that sets up in the monitoring point, can also effectively predict the quantity condition of predetermineeing the regional interior different pests according to trapper to the trapping ability and the influence scope of pest to when some kind pests influence is great, can in time inform suitable pest control personnel, so that in time remove the pest.
Optionally, the steps of acquiring the types of pests and the number of the pests of the corresponding types are as follows:
identifying and acquiring the quantity of the same type of pests in the pest image, and synchronously acquiring all photos of the same type of pests;
and comparing and inquiring the pest species corresponding to the corresponding pest pictures in a preset first database in which the pest pictures and the pest species corresponding to the corresponding pest pictures are stored by using all the obtained pictures of the same type of pests.
Through adopting above-mentioned technical scheme, through setting up in the shooting device of monitoring point can be timely accurate acquire the pest and the corresponding kind that the trapper was traped, compare in the original people for observing the pest and discern the mode of corresponding kind at the trapper, there is great promotion at the discernment of quantity and the discernment accuracy nature of kind.
Optionally, the step of obtaining the pest type and the number of the corresponding pest type further includes a step of, after the pest type corresponding to the corresponding pest photo is found out by comparison:
if the pest type corresponding to the corresponding pest photo is not found through comparison and query, all the photos of the identified pests of the same type are subjected to local feature decomposition, and the pest type corresponding to the local feature which is found to be the most in accordance with the local features is compared and queried from a preset second database in which the pest type and all the local feature photos of the corresponding pest type are stored, so that the pest type corresponding to the corresponding pest photo is found.
By adopting the technical scheme, the situation that the pest species corresponding to the corresponding pest pictures cannot be found out through comparison and query is fully considered, on the premise that the situation occurs, whether the shooting angle is not right or not and the situation that the corresponding angle pictures are not stored in the first database can be considered, under the situation that the situation occurs, the local specific diagnosis of the same type of pests is decomposed and compared with the features stored in the second database, so that the pest species can be analyzed in reverse according to the local features, and the pest species corresponding to the corresponding pest pictures can be analyzed when the pest species corresponding to the corresponding pest pictures cannot be found out through comparison and query of the first database.
Optionally, the estimating steps of the number of different kinds of pests in the preset area are as follows:
acquiring the starting time of the trapper;
if the starting time of the trappers exceeds the preset starting time, inquiring the area range and the capturing success rate of the trappers preset at the monitoring point on different kinds of pests in the current environment from a preset third database in which the trappers, the area range and the capturing success rate of the corresponding trappers on different kinds of pests in different environments are stored, and the current environment condition and the currently started trappers are used as inquiry objects;
the following analysis and calculation formula of pest number is constructed, and specifically the following formula is constructed: zi=（Ai/Ci）×(Q/qi），0<i<N, n is the number of all pest species in the current region, i is the i-th species in the n pest species in the current region, ZiIs an estimated total number of i-th type pests in the current area, AiNumber of i-th type pests caught by the trap during the start-up time, CiCapture success rate for the corresponding trap in the current environment, Q being the total area of the current field, QiInfluence of corresponding trapper on i-th pest under current environmentThe area range of (a).
By adopting the technical scheme, the condition that the starting time of the trap is not long is effectively considered, and the estimation of the quantity of different kinds of pests in the preset area is far from being accurate, so that the specific calculation mode of the quantity of the pests is effectively constructed by combining the area range influenced by the trap of the monitoring point on different kinds of pests in the current environment and the capturing success rate on the previous day when the use time of the trap is ensured.
Optionally, the steps of analyzing and obtaining the corresponding pest treatment protocol are as follows:
inquiring a treatment scheme of a corresponding pest species by taking pest species exceeding a preset number as inquiry objects from a preset fourth database in which pest and corresponding species pest treatment schemes are stored;
and if the number of the pest species exceeding the preset number is at least two, comparing and analyzing the parts with the same parts from the inquired processing schemes of all the pest species and marking the parts.
By adopting the technical scheme, on one hand, a corresponding pest type processing mode can be obtained based on the pest type with problems at present, and how to mark the duplicate parts in the processing scheme under the condition that more than a preset number of pest types are present is further considered, so that the attention of informed people can be better attracted.
Alternatively, the identification of suitable pest control personnel may be as follows:
searching the treatment success rate of the pest eliminating personnel for different kinds of pests from a preset fifth database in which the pest eliminating personnel, the contact way of the corresponding pest eliminating personnel and the treatment success rate of the corresponding pest eliminating personnel for different kinds of pests are stored;
based on the ratio of the pest species exceeding the preset number to the preset number of the corresponding pest species and the treatment success rate of the pest-removing personnel on the corresponding pests, the comprehensive pest-removing coefficient of the corresponding pest-removing personnel at this time is constructed, and the calculation steps of the comprehensive pest-removing coefficient of the pest-removing personnel at this time are as follows: y = a1×R1+.....at×Rt+aS×Rs,1<=t<= S, S is the total number of pest species exceeding the predetermined number, t is the t-th of the S pest species, RtTo achieve a treatment success rate for the t-th pest species pest exterminator, atThe ratio of the estimated number of the t-th pest species to the preset number of the corresponding t-th pest species is calculated, and Y is the comprehensive pest eliminating coefficient of the pest eliminator;
and calculating the comprehensive harm removal coefficient of each harm remover, and selecting the harm remover with the highest comprehensive harm removal coefficient as a proper harm remover.
By adopting the technical scheme, the treatment success rate of the pest eliminating personnel for different kinds of pests and the influence conditions of the different kinds of pests are combined, the comprehensive pest eliminating coefficients of the different pest eliminating personnel are effectively estimated, and the pest eliminating personnel with the strongest comprehensive pest eliminating capability are selected.
Optionally, the step of notifying the appropriate pest control personnel is as follows:
loading the processing scheme and the pest situation into a confirmation short message for informing proper pest-removing personnel;
and if the appropriate harm-removing personnel do not reply the confirmation within the preset time, taking the harm-removing personnel with the highest comprehensive harm-removing coefficient in the rest harm-removing personnel as the appropriate harm-removing personnel to correspondingly inform.
By adopting the technical scheme, the condition that the harm removing personnel can not timely reply information when the harm removing personnel required to be notified is effectively ensured, and the most appropriate personnel in the rest harm removing personnel can be notified under the condition.
In a second aspect, the present application provides a pest monitoring and early warning system, which adopts the following technical scheme:
a pest monitoring and warning system comprising a memory, a processor and a program stored on the memory and executable on the processor, the program being capable of being loaded and executed by the processor to implement a pest monitoring and warning method as claimed in any one of the preceding claims.
Through adopting above-mentioned technical scheme, through the calling-up of procedure, when having realized the traping to the pest through the trapper that sets up in the monitoring point, can also effectively predict the quantity condition of predetermineeing the regional interior different pests according to trapper to the trapping ability and the influence scope of pest to when partial kind pest influence is great, can in time inform suitable personnel of removing the evil, so that in time remove the pest.
In a third aspect, the present application provides a computer storage medium, which adopts the following technical solutions:
a computer storage medium comprising a program that is capable of being loaded into execution by a processor to implement the pest monitoring and warning method of any one of the preceding claims.
Through adopting above-mentioned technical scheme, through the calling-up of procedure, when having realized the traping to the pest through the trapper that sets up in the monitoring point, can also effectively predict the quantity condition of predetermineeing the regional interior different pests according to trapper to the trapping ability and the influence scope of pest to when partial kind pest influence is great, can in time inform suitable personnel of removing the evil, so that in time remove the pest.
To sum up, the beneficial technical effect of this application does:
1. when the trapper catches pests, the pests in the area range can be estimated, and appropriate pest eliminating personnel can be informed to process the pests when the influence of the pests is large;
2. in the process of screening suitable pest eliminating persons, the success rate of treating different pests and the influence degree of the current pests are comprehensively considered, so that the selected pest eliminating persons are ensured to be the most suitable at present.
Drawings
Fig. 1 is a schematic diagram illustrating specific steps of a pest monitoring and early warning method according to the present application.
Fig. 2 is a detailed step diagram of step S300 in fig. 1.
Fig. 3 is a detailed step diagram of step S400 in fig. 1.
Fig. 4 is a schematic view showing a specific analysis acquisition step of the corresponding pest treatment protocol mentioned in step S500 of fig. 1.
Fig. 5 is a schematic diagram of the specific confirmation procedure of the suitable pest killer mentioned in step S500 of fig. 1.
FIG. 6 is a schematic view showing a procedure for notifying a suitable pest killer of the treatment scheme together with the number of different kinds of pests in a preset area.
Detailed Description
The present application is described in further detail below with reference to the attached drawings.
Referring to fig. 1, a pest monitoring and early warning method disclosed by the present application includes steps S100 to S500.
In step S100, traps provided at the monitoring site are activated to attract and trap surrounding pests.
Specifically, the trap mentioned in step S100 includes a trap lamp and a stunning plate, the trap lamp is used for attracting pests, the pests collide with the stunning plate in the way of flying to the trap lamp to stun, the trap lamp is an LED frequency conversion trap lamp, the stunning plate may be made of glass material, or sound waves or light waves of a specific frequency band may be used for stunning or killing the pests.
In step S200, an image of the pest inside the trap is captured.
Specifically, the photographing S200 mentioned in step S200 is mainly taken by a camera provided in the trap.
In step S300, the kind of pest and the number of pest of the corresponding kind are obtained based on the photographed pest image analysis.
Referring to fig. 2, wherein the acquiring step of the kind of pest and the number of pest of the corresponding kind mentioned in step S300 may be divided into steps S310 to S330.
In step S310, the number of the same type of pest in the captured pest image is identified, and all photos of the same type of pest are captured simultaneously.
Specifically, the identification and acquisition of the number of the same type of pests in the pest image in step S310 is mainly completed by a convolutional neural network identification method, which includes performing gray processing and normalization processing on the pest image, dividing the processed pest image into 15 image data, the number of the divided image data is not limited to that, and the number of the divided image data may be other number, identifying and counting the content of each image, and finally accumulating the content to obtain the number of the same type of pests.
In step S320, all the obtained photos of the same type of pest are compared with a preset first database storing the photos of the pest and the types of pest corresponding to the photos of the corresponding pest, so as to find out the types of pest corresponding to the photos of the corresponding pest.
In step S330, if the comparison query does not find the pest type corresponding to the corresponding pest photo, the local features of all the photos of the identified pest of the same type are decomposed, and the pest type corresponding to the most local features is compared and found from the preset second database storing the pest type and all the local feature photos of the corresponding pest type, and is used as the pest type corresponding to the corresponding pest photo.
Specifically, all the photos of the same type of pest mentioned in step S330 are decomposed into local features, for example, the head, the leg, and the body of the same type of pest can be distinguished, and without being limited thereto, the leg can be distinguished according to the leg close to the head and the leg far from the head.
In step S400, the number of different kinds of pests in the preset area is estimated based on the kind of pests and the number of the corresponding kinds of pests, the external environment condition, and the activation time of the trap.
Referring to fig. 3, the step of estimating the number of different kinds of pest in the preset area mentioned in step S400 can be divided into steps S410 to S430.
In step S410, the activation time of the trap is acquired.
In particular, the acquisition of the trap activation time mentioned in step S410 may be timed by a timing device.
In step S420, if the activation time of the trap exceeds the preset activation time, the area range and the capturing success rate of the trap preset at the monitoring point for different kinds of pests in the current environment are queried from a third database in which the traps, the area ranges of the traps affected by the corresponding traps to different kinds of pests in different environments and the capturing success rate are stored, with the current environment condition and the currently activated trap as query objects.
In step S430, the following analytical calculation formula of pest number is constructed, specifically as follows: zi=（Ai/Ci）×(Q/qi），0<i<N, n is the number of all pest species in the current region, i is the i-th species in the n pest species in the current region, ZiIs an estimated total number of i-th type pests in the current area, AiNumber of i-th type pests caught by the trap during the start-up time, CiCapture success rate for the corresponding trap in the current environment, Q being the total area of the current field, QiThe area of the region affected by the corresponding trap to the i-th pest under the current environment.
For example, assume that a certain type of pest beetle is captured by the trap in 30 numbers during the start-up time, AiThe value is 30 and the corresponding trap has a capture success rate of 50% in the current environment, i.e. CiThe value is 50%, the area of the area affected by the corresponding trap under the current circumstances by the nail is 50 cubic meters, while the total area of the lower area is 1000 cubic meters, then the quantitative analysis of the nail can be in terms of Zi=（Ai/Ci）×(Q/qi) And acquiring, specifically 1200.
In step S500, if the number of partial kinds of pests in the preset area exceeds the preset number, analyzing a treatment scheme for the corresponding pests, and notifying appropriate pest control personnel of the treatment scheme and the number of different kinds of pests in the preset area; otherwise, the number of different kinds of pests in the preset area is regularly notified to proper pest-removing personnel.
Here, the number of different kinds of pests in the preset area is notified to the appropriate pest killer at regular intervals in step S500, and the regular intervals may be 6 hours or 12 hours, but is not limited to 6 hours or 12 hours.
Referring to fig. 4, wherein the analyzing step of the treatment regimen for the respective pests mentioned in step S500 may be divided into steps S5a0 through S5b 0.
In step S5a0, a pest treatment plan for a corresponding pest species is searched for from a preset fourth database in which pest and pest treatment plans for the corresponding species are stored, with pest species exceeding a preset number as search targets.
In step S5b0, if the number of pest species exceeding the preset number is at least two, the parts analyzed for identity are compared and labeled from the processing schemes of all the queried pest species.
Specifically, the same part mentioned in step S5b0 is a scheme that can be applied partially in a superposition manner for two or more pest species treatment schemes, and the scheme can better attract the attention of the treatment personnel by marking the superposed applied parts.
Referring to fig. 5, the step of confirming the proper harm-removed person mentioned in step S500 may be divided into steps SA00 to SC 00.
In step SA00, the success rate of pest control for different types of pests is found from a preset fifth database storing pest control personnel, the contact information of the corresponding pest control personnel, and the success rate of pest control for different types of pests.
In step SB00, based on the ratio of the pest species exceeding the preset number to the preset number of the corresponding pest species and the success rate of the pest exterminators in processing the corresponding pests, a current comprehensive pest exterminator coefficient of the corresponding pest exterminator is constructed, and the current comprehensive pest exterminator coefficient of the pest exterminator is calculated as follows: y = a1×R1+.....at×Rt+aS×Rs,1<=t<= S, S is the total number of pest species exceeding the predetermined number, t is the t-th of the S pest species, RtTo achieve a treatment success rate for the t-th pest species pest exterminator, atThe ratio of the estimated number of the t-th pest species to the preset number of the corresponding t-th pest species is calculated, and Y is the comprehensive pest eliminating coefficient of the pest eliminator.
For example, two kinds of pest species, a and B, respectively, coexist, assuming that the pest killer is S and X, respectively, the treatment success rate of the pest killer S for the pest species a is 90%, the ratio of the number of the pest species a to the preset number is 1.2, the treatment success rate of the pest killer S for the pest species B is 70%, and the ratio of the number of the pest species B to the preset number is 1.5; the success rate of the other pest killer X for treating the pest species A is 80%, and the success rate of the pest killer for treating the pest species B is 80%.
According to the above assumed data and the calculation procedure of the comprehensive injury coefficients, it can be determined that the comprehensive injury coefficient of the injury eliminating person S is 2.13 and the comprehensive injury coefficient of the injury eliminating person X is 2.16.
In step SC00, the present comprehensive harm-removing coefficient for each pest-removing person is calculated, and the pest-removing person having the highest comprehensive harm-removing coefficient is selected as the appropriate pest-removing person.
Referring to fig. 6, the step of notifying appropriate harmful personnel mentioned in step S500 may be divided into steps S5a0 through S5B 0.
In step S5a0, the processing recipe is loaded in a confirmation message informing appropriate pest exterminators together with the pest situation.
Specifically, the confirmation short message mentioned in step S5a0 is sent by the short message prompter.
In step S5B0, if the appropriate pest eliminating person does not reply the confirmation within the preset time, the pest eliminating person with the highest comprehensive pest eliminating coefficient among the remaining pest eliminating persons is used as the appropriate pest eliminating person for corresponding notification;
for example, assuming that the human being with the highest overall phytotoxicity coefficient is B at present and the human being with the highest overall phytotoxicity coefficient is C except B, assuming that the preset time is 15 minutes, after the notification of B, if B does not reply within 15 minutes, C is notified again and is taken as a suitable phytocide.
An embodiment of the present invention provides a computer-readable storage medium, which includes a program capable of being loaded and executed by a processor to implement any one of the methods shown in fig. 1-6.
The computer-readable storage medium includes, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Based on the same inventive concept, an embodiment of the present invention provides a pest monitoring and early warning system, which includes a memory and a processor, wherein the memory stores a program that can be executed on the processor to implement any one of the methods shown in fig. 1 to 6.
It will be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to perform all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a module or a unit may be divided into only one logical function, and may be implemented in other ways, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: u disk, removable hard disk, read only memory, random access memory, magnetic or optical disk, etc. for storing program codes.
The embodiments of the present invention are preferred embodiments of the present invention, and the scope of the present invention is not limited by these embodiments, so: all equivalent changes made according to the structure, shape and principle of the invention are covered by the protection scope of the invention.

Claims (9)

1. A pest monitoring and early warning method is characterized by comprising the following steps:
starting a trap arranged at a monitoring point to attract and trap pests around;
shooting an image of the pest in the trap;
analyzing and acquiring the types of pests and the number of the pests of the corresponding types based on the shot pest images;
estimating the number of different kinds of pests in a preset area based on the kinds of pests, the number of the pests of corresponding kinds, the external environment condition and the starting time of the trapper;
if the number of partial kinds of pests in the preset area exceeds the preset number, analyzing a treatment scheme of the corresponding pests, and informing appropriate pest control personnel of the treatment scheme and the number of different kinds of pests in the preset area; otherwise, the number of different kinds of pests in the preset area is regularly notified to proper pest-removing personnel.
2. A pest monitoring and warning method according to claim 1, wherein the pest species and the number of the corresponding species are obtained by the steps of:
identifying and acquiring the quantity of the same type of pests in the pest image, and synchronously acquiring all photos of the same type of pests;
and comparing and inquiring the pest species corresponding to the corresponding pest pictures in a preset first database in which the pest pictures and the pest species corresponding to the corresponding pest pictures are stored by using all the obtained pictures of the same type of pests.
3. A pest monitoring and warning method according to claim 2, wherein the step of obtaining the pest type and the number of the corresponding pest type further comprises the step of comparing and searching the pest type corresponding to the corresponding pest photo:
if the pest type corresponding to the corresponding pest photo is not found through comparison and query, all the photos of the identified pests of the same type are subjected to local feature decomposition, and the pest type corresponding to the local feature which is found to be the most in accordance with the local features is compared and queried from a preset second database in which the pest type and all the local feature photos of the corresponding pest type are stored, so that the pest type corresponding to the corresponding pest photo is found.
4. A pest monitoring and warning method according to claim 3, wherein: the method comprises the following steps of estimating the quantity of different types of pests in a preset area:
acquiring the starting time of the trapper;
if the starting time of the trappers exceeds the preset starting time, inquiring the area range and the capturing success rate of the trappers preset at the monitoring point on different kinds of pests in the current environment from a preset third database in which the trappers, the area range and the capturing success rate of the corresponding trappers on different kinds of pests in different environments are stored, and the current environment condition and the currently started trappers are used as inquiry objects;
the following analysis and calculation formula of pest number is constructed, and specifically the following formula is constructed: zi=（Ai/Ci）×(Q/qi），0<i<N, n is the number of all pest species in the current region, i is the i-th species in the n pest species in the current region, ZiIs an estimated total number of i-th type pests in the current area, AiNumber of i-th type pests caught by the trap during the start-up time, CiCapture success rate for the corresponding trap in the current environment, Q being the total area of the current field, QiThe area of the region affected by the corresponding trap to the i-th pest under the current environment.
5. A pest monitoring and warning method according to claim 1, wherein: the steps of analyzing and obtaining the corresponding pest treatment scheme are as follows:
inquiring a treatment scheme of a corresponding pest species by taking pest species exceeding a preset number as inquiry objects from a preset fourth database in which pest and corresponding species pest treatment schemes are stored;
and if the number of the pest species exceeding the preset number is at least two, comparing and analyzing the parts with the same parts from the inquired processing schemes of all the pest species and marking the parts.
6. A pest monitoring and warning method according to claim 1, wherein: the procedure for the identification of suitable pest control personnel is as follows:
searching the treatment success rate of the pest eliminating personnel for different kinds of pests from a preset fifth database in which the pest eliminating personnel, the contact way of the corresponding pest eliminating personnel and the treatment success rate of the corresponding pest eliminating personnel for different kinds of pests are stored;
based on the ratio of the pest species exceeding the preset number to the preset number of the corresponding pest species and the treatment success rate of the pest-removing personnel on the corresponding pests, the comprehensive pest-removing coefficient of the corresponding pest-removing personnel at this time is constructed, and the calculation steps of the comprehensive pest-removing coefficient of the pest-removing personnel at this time are as follows: y = a1×R1+.....at×Rt+aS×Rs,1<=t<= S, S is the total number of pest species exceeding the predetermined number, t is the t-th of the S pest species, RtTo achieve a treatment success rate for the t-th pest species pest exterminator, atThe ratio of the estimated number of the t-th pest species to the preset number of the corresponding t-th pest species is calculated, and Y is the comprehensive pest eliminating coefficient of the pest eliminator;
and calculating the comprehensive harm removal coefficient of each harm remover, and selecting the harm remover with the highest comprehensive harm removal coefficient as a proper harm remover.
7. A pest monitoring and warning method according to claim 6, wherein the step of informing appropriate pest control personnel of the treatment scheme and the number of different kinds of pests in the preset area comprises:
loading the processing scheme and the pest situation into a confirmation short message for informing proper pest-removing personnel;
and if the appropriate harm-removing personnel do not reply the confirmation within the preset time, taking the harm-removing personnel with the highest comprehensive harm-removing coefficient in the rest harm-removing personnel as the appropriate harm-removing personnel to correspondingly inform.
8. A pest monitoring and early warning system is characterized in that: comprising a memory, a processor, and a program stored on the memory and executable on the processor, the program being capable of being loaded for execution by the processor to implement a pest monitoring and warning method as claimed in any one of claims 1 to 7.
9. A computer storage medium, characterized in that: a program that is capable of being loaded and executed by a processor to implement a method of pest monitoring and warning as claimed in any one of claims 1 to 7.
CN202011407859.6A 2020-12-04 2020-12-04 Harmful organism monitoring and early warning method and system and storage medium Withdrawn CN112528814A (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113204584A (en) * 2021-04-26 2021-08-03 红云红河烟草(集团)有限责任公司 Insect condition monitoring and early warning method, device and equipment applied to tobacco industry
CN113741597A (en) * 2021-09-03 2021-12-03 安徽中昆绿色防控科技有限公司 Intelligent control system for insect trapping, measuring and reporting in agriculture and forestry
CN113749067A (en) * 2021-07-27 2021-12-07 湖南明洁有害生物防治有限公司 Pest control monitoring method, device, system and storage medium
CN113887595A (en) * 2021-09-23 2022-01-04 四川飘绿植物保护有限公司 Garden pest identification method, system, computer equipment and storage medium
CN114586751A (en) * 2022-03-29 2022-06-07 北京病媒有害生物防控中心 Forestry pest control qualification evaluation system

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113204584A (en) * 2021-04-26 2021-08-03 红云红河烟草(集团)有限责任公司 Insect condition monitoring and early warning method, device and equipment applied to tobacco industry
CN113749067A (en) * 2021-07-27 2021-12-07 湖南明洁有害生物防治有限公司 Pest control monitoring method, device, system and storage medium
CN113741597A (en) * 2021-09-03 2021-12-03 安徽中昆绿色防控科技有限公司 Intelligent control system for insect trapping, measuring and reporting in agriculture and forestry
CN113741597B (en) * 2021-09-03 2022-04-12 安徽中昆绿色防控科技有限公司 Intelligent control system for insect trapping, measuring and reporting in agriculture and forestry
CN113887595A (en) * 2021-09-23 2022-01-04 四川飘绿植物保护有限公司 Garden pest identification method, system, computer equipment and storage medium
CN114586751A (en) * 2022-03-29 2022-06-07 北京病媒有害生物防控中心 Forestry pest control qualification evaluation system
CN114586751B (en) * 2022-03-29 2023-10-20 北京病媒疾病预防控制中心 Forestry pest control qualification evaluation system

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