A forestry pest control management system and method

Abstract

The present application provides a forestry pest control management system and method, which belongs to the technical field of forestry pest control management. The pest distribution map of the target forestry area is constructed through the management block division and pest information of the target forestry area, and then the distribution network of the deworming points in each management block is determined; multiple variable deworming points are determined according to the recovery rate and natural recovery rate of each management block during the deworming process, and then the dynamic layout strategy of the deworming points in each management block is determined according to all the variable deworming points; the deworming controllable range of each management block in the target forestry area is predicted through all the distribution networks and all the dynamic layout strategies, and the pests and diseases in the current target forestry area are risk assessed based on all the deworming controllable ranges. The above scheme can weaken the impact of the uneven distribution of pests and diseases in the forestry area on the forestry area monitoring department in preventing and controlling pests and diseases, thereby improving the prevention and control effect of the forestry area monitoring department.

Description

Technical Field

[0001] The present application relates to the technical field of forestry pest control management, and more specifically, to a forestry pest control management system and method. Background Art

[0002] Forestry pest and disease control management is a technology and means to systematically manage relevant information on pest and disease prevention and control in the forestry field. Its purpose is to improve the protection and management efficiency of forestry resources by effectively collecting, analyzing, storing, sharing and utilizing pest and disease control information. In the existing forestry pest and disease control management, the management of pests and diseases in forestry areas is a key factor in forestry pest and disease management. When pests and diseases appear in forestry areas, forestry area monitoring departments will prevent and control pests and diseases in forestry areas. However, pests and diseases in forestry areas are not evenly distributed, and the distribution density of pests and diseases in forestry areas is not the same, which leads to incomplete prevention and control effects of forestry area monitoring departments when preventing and controlling pests and diseases in forestry areas. Therefore, how to weaken the impact of uneven distribution of pests and diseases in forestry areas on forestry area monitoring departments in preventing and controlling pests and diseases, thereby improving the prevention and control effects of forestry area monitoring departments has become a problem faced by the industry. Summary of the invention

[0003] The present application provides a forestry pest control management system and method, which can weaken the impact of uneven distribution of pests and diseases in forestry areas on the prevention and control of pests and diseases by forestry area monitoring departments, thereby improving the prevention and control effect of forestry area monitoring departments.

[0004] In a first aspect, the present application provides a forestry pest control management method, comprising the following steps:

[0005] Monitor pests and diseases in the target forestry area and determine the pest and disease information in the current target forestry area;

[0006] Based on the management block division of the target forestry area and the pest information, a pest distribution map of the target forestry area is constructed, and then the pest distribution map is used to perform demand planning for the pest control points of each management block in the target forestry area, so as to obtain a distribution network of the pest control points in each management block when pest control is performed in the target forestry area;

[0007] Determine the forestry ecological recovery rate of each management block during the deworming process, take all deworming points in the management block whose forestry ecological recovery rate is higher than the natural recovery rate of forestry ecology in the target forestry area as variable deworming points, dynamically allocate all variable deworming points according to the current spread status of pests and diseases in the target forestry area, and obtain the dynamic layout strategy of deworming points in each management block in the target forestry area during the deworming process;

[0008] Through all distribution networks and all dynamic layout strategies, the controllable range of insect repellent in each management block in the target forestry area is predicted, and then the risk assessment of pests and diseases in the current target forestry area is carried out based on all controllable ranges of insect repellent.

[0009] In some embodiments, constructing a pest distribution map of the target forestry area based on the management area division of the target forestry area and the pest information specifically includes:

[0010] Obtain management block divisions for target forestry areas;

[0011] Determine pest and disease area information of each management block according to the management block division and the pest and disease information;

[0012] Determine the pest and disease distribution map of the target forestry area based on all pest and disease area information.

[0013] In some embodiments, the pest distribution map is used to perform demand planning on the pest control points of each management block in the target forestry area, and the distribution network of the pest control points in each management block when performing pest control in the target forestry area specifically includes:

[0014] Obtain the insect repellent range of the insect repellent in the target forestry area;

[0015] Selecting a management block as a selected management block, and extracting the pest density distribution of the selected management block from the pest distribution map;

[0016] Determining the number of deworming points required for the selected management block according to the deworming range and the area of ​​the selected management block;

[0017] Determine the distribution network of the deworming points in the selected management block when deworming is performed in the target forestry area through the demand for deworming points and the density distribution of the pests and diseases;

[0018] Continue to determine the distribution network of deworming points in the remaining management blocks when deworming is carried out in the target forestry area.

[0019] In some embodiments, the natural recovery rate represents the rate at which the ecosystem of a target forestry area self-repairs and recovers from pests and diseases without human intervention.

[0020] In some embodiments, all variable insect repellent points are dynamically allocated according to the spread status of pests and diseases in the current target forestry area, and the dynamic layout strategy of insect repellent points in each management block of the target forestry area during the insect repellent process specifically includes:

[0021] Monitor the spread of pests and diseases in current target forestry areas;

[0022] Determine the degree of pest spread in each management area during the deworming process according to the spread status;

[0023] All variable insect repellent points are allocated according to the spread of all pests and diseases, and a dynamic layout strategy of insect repellent points in each management block in the target forestry area during the insect repellent process is obtained.

[0024] In some embodiments, predicting the controllable range of insect repellent in each management block in the target forestry area through all distribution networks and all dynamic layout strategies specifically includes:

[0025] A management block is selected as the selected management block, and a distribution adjustment result of the insect repellent points in the selected management block is predicted through a distribution network corresponding to the selected management block and a dynamic layout strategy corresponding to the selected management block;

[0026] Determine the controllable range of insect repellent in the selected management block in the target forestry area according to the distribution adjustment result;

[0027] Continue to determine the controllable extent of insect repellent in the remaining management blocks within the target forestry area.

[0028] In some embodiments, the risk assessment of pests and diseases in the current target forestry area based on all controllable ranges of insect repellent specifically includes:

[0029] Collect the pest and disease ranges of pests and diseases in the current target forestry area;

[0030] Determine the pest and disease risk index of the current target forestry area based on all controllable ranges of pest control and the range of the pests and diseases;

[0031] Assess pests and diseases in the current target forestry area based on the pest and disease risk index.

[0032] In a second aspect, the present application provides a forestry pest control management system, comprising:

[0033] A monitoring module is used to monitor pests and diseases in the target forestry area and determine the pest and disease information in the current target forestry area;

[0034] A processing module is used to construct a pest distribution map of the target forestry area based on the management block division of the target forestry area and the pest information, and then perform demand planning on the pest control points of each management block in the target forestry area according to the pest distribution map, so as to obtain a distribution network of the pest control points in each management block when pest control is performed in the target forestry area;

[0035] The processing module is also used to determine the recovery rate of the forestry ecology of each management block during the deworming process, and use all deworming points in the management block whose forestry ecology recovery rate is higher than the natural recovery rate of the forestry ecology in the target forestry area as variable deworming points, and dynamically allocate all variable deworming points according to the spread status of pests and diseases in the current target forestry area, so as to obtain a dynamic layout strategy of deworming points in each management block in the target forestry area during the deworming process;

[0036] The execution module is used to predict the controllable range of pest control in each management block in the target forestry area through all distribution networks and all dynamic layout strategies, and then conduct risk assessment of pests and diseases in the current target forestry area based on all controllable ranges of pest control.

[0037] In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory stores codes, and the processor is configured to obtain the codes and execute the above-mentioned forestry pest control management method.

[0038] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned forestry pest control management method is implemented.

[0039] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects:

[0040] In the forestry pest control management system and method provided by the present application, the pests and diseases in the target forestry area are first monitored to determine the pest and disease information in the current target forestry area; a pest and disease distribution map of the target forestry area is constructed based on the management block division of the target forestry area and the pest and disease information, and then the pest and disease distribution map is used to perform demand planning for the deworming points of each management block in the target forestry area to obtain a distribution network of the deworming points in each management block when deworming is performed in the target forestry area; the recovery rate of the forestry ecology of each management block during the deworming process is determined, All the deworming points in the management blocks whose forestry ecological recovery rate is higher than the natural recovery rate of forestry ecology in the target forestry area are taken as variable deworming points, and all the variable deworming points are dynamically allocated according to the spread status of pests and diseases in the current target forestry area, so as to obtain the dynamic layout strategy of deworming points in each management block in the target forestry area during the deworming process; the deworming controllable range of each management block in the target forestry area is predicted through all the distribution networks and all the dynamic layout strategies, and then the risk assessment of pests and diseases in the current target forestry area is carried out according to all the deworming controllable ranges.

[0041] It can be seen that in the process of forestry pest control management, the present application firstly carries out deworming planning based on the distribution of pests and diseases in the current target forestry area, and obtains a distribution network of deworming points in each management block in the target forestry area. The distribution network is used to predict the distribution of deworming points in the target forestry area when deworming is carried out, thereby reducing the impact of the uneven distribution of pests and diseases in the forestry area on deworming; secondly, the recovery rate of each management block in the target forestry area is judged, and the deworming points that can be moved in the deworming process in the target forestry area are determined, thereby obtaining a plurality of variable deworming points, and the variable deworming points are used to supplement other deworming areas, thereby reducing the deworming time for deworming in the target forestry area, and the deworming time for deworming in other management blocks is reduced according to all the variable deworming points. The target forest area is adjusted, and the layout strategy of the insect repellent points in each management block during the insect repellent process is determined, and then a dynamic layout strategy is obtained. The dynamic layout strategy is used to dynamically adjust the insect repellent points in the target forest area during the insect repellent process, thereby improving the insect repellent effect; thus, through all distribution networks and all dynamic layout strategies, the range of controllable degree of pests and diseases during the insect repellent in each management block of the target forest area is predicted, and then the controllable range of insect repellent is obtained. The controllable range of insect repellent is used to evaluate the risk of pests and diseases in the target forest area, reducing the impact of uneven distribution of pests and diseases in the target forest area on the monitoring department of the forest area when preventing and controlling pests and diseases; finally, all controllable ranges of insect repellent are used to conduct risk assessment of pests and diseases in the current target forest area. The above scheme can weaken the impact of uneven distribution of pests and diseases in the forest area on the monitoring department of the forest area when preventing and controlling pests and diseases, thereby improving the prevention and control effect of the monitoring department of the forest area. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 is an exemplary flow chart of a forestry pest control management method according to some embodiments of the present application;

[0043] Figure 2 is a schematic diagram of the coverage of insect repellent points in a region according to some embodiments of the present application;

[0044] Figure 3 is an exemplary flow chart of determining a dynamic layout strategy according to some embodiments of the present application;

[0045] Figure 4 It is a structural schematic diagram of a forestry pest control management system according to some embodiments of the present application;

[0046] Figure 5 It is a structural schematic diagram of a computer device for implementing a forestry pest control management method according to some embodiments of the present application. DETAILED DESCRIPTION

[0047] In order to better understand the technical solution of the present application, the technical solution of the present application will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0048] refer to Figure 1 , which is an exemplary flow chart of a forestry pest control management method according to some embodiments of the present application. The forestry pest control management method 100 mainly includes the following steps:

[0049] In step 101, pests and diseases in a target forestry area are monitored to determine pest and disease information of the current target forestry area.

[0050] In specific implementation, the existing remote sensing technology is used to monitor the pests and diseases in the target forestry area, obtain the information on the health status of plants, the types and quantities of pests and diseases in the current target forestry area, and use the information on the health status of plants, the types and quantities of pests and diseases as the pest and disease information of the current forestry area, wherein the pest and disease information represents the information on data related to the diseases and pests suffered by plants in the target forestry area, and the forestry area may be a mangrove forestry area or other forestry area that requires deinsectization, which is not specifically limited here.

[0051] In step 102, a pest and disease distribution map of the target forestry area is constructed based on the management block division of the target forestry area and the pest and disease information, and then the pest and disease distribution map is used to perform demand planning for the deworming points in each management block in the target forestry area to obtain a distribution network of deworming points in each management block when deworming is performed in the target forestry area.

[0052] In some embodiments, constructing a pest distribution map of the target forestry area based on the management area division of the target forestry area and the pest information can be achieved by the following steps:

[0053] Obtain management block divisions for target forestry areas;

[0054] Determine pest and disease area information of each management block according to the management block division and the pest and disease information;

[0055] Determine the pest and disease distribution map of the target forestry area based on all pest and disease area information.

[0056] In a specific implementation, the management block division of the target forestry area is obtained from a database corresponding to the target forestry area, wherein the management block division indicates that the target forestry area is divided into a plurality of management blocks according to the region, so as to facilitate the management of the target forestry area; determining the pest and disease area information of each management block according to the management block division and the pest and disease information can be implemented in the following manner, namely: dividing the target forestry management block into a plurality of management blocks by management block division, selecting a management block as the selected management block, extracting information on the plant health status, types and quantities of pests and diseases of the selected management block from the pest and disease information, and obtaining information on the plant health status, types and quantities of pests and diseases of the selected management block; and as the pest and disease area information of the selected management block, and continue to determine the pest and disease area information of the remaining management blocks, wherein the pest and disease area information represents the relevant information of the pests and diseases in the management block, and is used to manage the pests and diseases in the management block; determining the pest and disease distribution map of the target forestry area according to all the pest and disease area information can be achieved in the following manner, namely: training a pest and disease distribution map model of the target forestry area through a machine learning algorithm in the prior art (such as a support vector machine, a random forest) combined with all the pest and disease area information, and then predicting the pest and disease distribution map of the target forestry area from the pest and disease distribution map model; in other embodiments, other methods can also be used for determination, which are not limited here.

[0057] It should be noted that the pest distribution map in the present application is a distribution map that reflects the distribution of pests and diseases in various management blocks in the forestry area, wherein the pest distribution map includes the pest and disease density distribution, species distribution, etc. in each management block, and the pest and disease density distribution represents the distribution of pest and disease density in the management block. In this embodiment, the management block is divided into multiple small management blocks, and the pest and disease density values ​​of each small management block are combined into a pest and disease density distribution according to the position of the management block, which is used to predict the pest and disease area in the forestry area, and then prevent and control the pests and diseases in the forestry area.

[0058] In some embodiments, demand planning is performed on the insect repellent points of each management block in the target forestry area based on the pest distribution map, and the distribution network of the insect repellent points in each management block when performing insect repellent in the target forestry area can be achieved by the following steps:

[0059] Obtain the insect repellent range of the insect repellent in the target forestry area;

[0060] Selecting a management block as a selected management block, and extracting the pest density distribution of the selected management block from the pest distribution map;

[0061] Determining the number of deworming points required for the selected management block according to the deworming range and the area of ​​the selected management block;

[0062] Determine the distribution network of the deworming points in the selected management block when deworming is performed in the target forestry area through the demand for deworming points and the density distribution of the pests and diseases;

[0063] Continue to determine the distribution network of deworming points in the remaining management blocks when deworming is carried out in the target forestry area.

[0064] In specific implementation, obtaining the repellent range of the repellent in the target forestry area can be achieved in the following manner, namely: obtaining the repellent range of the repellent in the target forestry area from the instruction manual of the repellent, wherein the repellent range represents the range covered by the repellent during the repellent process, and is used to analyze the repellent process in the target forestry area; determining the repellent point demand of the selected management block according to the repellent range and the area of ​​the selected management block can be achieved in the following manner, namely: measuring the area of ​​the selected management block by an area measurement tool in the prior art, dividing the area of ​​the selected management block by the repellent range, and taking the sum of the value obtained by the division and 1 as the repellent point demand of the selected management block; in other embodiments, other methods can also be used for determination, which are not limited here.

[0065] It should be noted that the demand for insect repellent points in this application represents the number of insect repellent devices required by the management block during insect repellent. One insect repellent device is used as an insect repellent point. During the insect repellent process, it can be appropriately adjusted according to the insect repellent effect. Since the insect repellent range and the range of the management block are not completely overlapped, for example, refer to Figure 2 As described above, the figure is a schematic diagram of the coverage of the insect repellent points in the management block shown in this embodiment, so adding one more insect repellent can make the insect repellent of the target forestry area more thorough.

[0066] Among them, in specific implementation, the distribution network of the insect repellent points in the selected management block when performing insect repellent in the target forestry area can be determined by the insect repellent point demand and the pest density distribution, which can be implemented in the following manner, namely: through the regression analysis in the prior art (such as multi-distance linear regression, nonlinear regression) combined with the historical pest information of the target forestry area, the pest density threshold value when the pests and diseases in the selected management block do not significantly reduce the vegetation growth index, wherein the pest density threshold value represents the pest density value when the pests and diseases do not significantly reduce the vegetation growth index, which is used to analyze the pests and diseases in the forestry area, firstly, all the insect repellent points with the required insect repellent point demand in the selected management block are evenly distributed in the selected management block, and the distribution of all the insect repellent points is used as the initial distribution network of the insect repellent points in the selected management block when performing insect repellent in the target forestry area, and all the insect repellent points in the initial distribution network are adjusted, that is: one insect repellent point is selected as the selected insect repellent point. Insect point, compare each pest density value in the coverage range of the selected insect repellent point in the pest density distribution with the pest density threshold, extract all pest density values ​​that are less than the pest density threshold in the pest density value in the coverage range of the selected insect repellent point, if the sum of the management blocks corresponding to the extracted pest density values ​​accounts for one half of the coverage range of the selected insect repellent point, then transfer the insect repellent point to the management block corresponding to the larger pest density value in the selected management block, if the sum of the management blocks corresponding to the extracted pest density values ​​is less than one half of the coverage range of the selected insect repellent point, then the selected insect repellent point remains unchanged, and the pest density values ​​of the management blocks corresponding to the remaining insect repellent points are continued to be judged, thereby completing the determination of the positions of all insect repellent points, and using the adjusted initial distribution network as the distribution network of the insect repellent points in the selected management block when performing insect repellent in the target forestry area; in other embodiments, other methods can also be used for determination, which is not limited here.

[0067] It should be noted that the distribution network in the present application is a structure that reflects the distribution of deworming points in the management block when deworming is carried out in the target forestry area. It is used to analyze the deworming of the target forestry area, so as to facilitate better prevention and control of the forestry area, and solve the impact of the uneven distribution of pests and diseases in the forestry area on deworming.

[0068] In step 103, the recovery rate of the forestry ecology of each management block during the deworming process is determined, and all deworming points in the management blocks whose forestry ecology recovery rate is higher than the natural recovery rate of the forestry ecology in the target forestry area are used as variable deworming points. All variable deworming points are dynamically allocated according to the spread status of pests and diseases in the current target forestry area, so as to obtain a dynamic layout strategy of deworming points in each management block in the target forestry area during the deworming process.

[0069] In specific implementation, the remote sensing technology in the prior art (such as satellite remote sensing, drone remote sensing) is used to monitor the vegetation coverage, health status and growth changes of the forestry ecology of each management block during the deworming process, and then the recovery rate of the forestry ecology of each management block during the deworming process is evaluated by combining the vegetation coverage, health status and growth changes with the prior art quantitative monitoring technology. The recovery rate indicates the rate at which the forestry ecosystem recovers to its original state or function through human intervention after being damaged or destroyed by pests and diseases. In other embodiments, other methods can also be used to determine it, which is not limited here.

[0070] In some embodiments, all the insect repellent points in the management block whose forestry ecological recovery rate is higher than the natural recovery rate of forestry ecological in the target forestry area are used as variable insect repellent points, which can be achieved by the following steps:

[0071] Determine the natural recovery rate of forest ecology in the target forestry area;

[0072] Compare the forestry ecological recovery rate of each management block during the deworming process with the natural recovery rate;

[0073] All the insect repellent points in the management blocks where the forestry ecological recovery rate is higher than the natural recovery rate of forestry ecology in the target forestry area are taken as variable insect repellent points.

[0074] It should be noted that the natural recovery rate in the present application indicates the rate of self-repair and recovery of the forestry area ecosystem against pests and diseases in the target forestry area without human intervention, and is used to analyze the pest and disease control situation in the target forestry area. As a preferred embodiment, the natural recovery rate of the forestry ecology in the target forestry area can be determined by combining the time series analysis in the prior art with the historical recovery information of the target forestry area. In other embodiments, other methods can also be used to determine it, which will not be repeated here.

[0075] It should be noted that the variable insect repellent point in the present application is an insect repellent point that can be moved during the insect repellent process in the target forestry area, which is used to supplement other insect repellent management blocks, thereby reducing the insect repellent time for the target forestry area; the comparison results are transmitted to the insect repellent center of the target forestry area, and the insect repellent points are allocated, so that the target forestry area can achieve the insect repellent effect faster.

[0076] In some embodiments, reference Figure 3 As shown, this figure is a schematic diagram of the process of determining the dynamic layout strategy in some embodiments of the present application. In this embodiment, all variable insect repellent points are dynamically allocated according to the spread status of pests and diseases in the current target forestry area, and the dynamic layout strategy of the insect repellent points in each management block in the target forestry area during the insect repellent process can be implemented by the following steps:

[0077] First, in step 1031, the spread of pests and diseases in the current target forestry area is monitored;

[0078] Secondly, in step 1032, the degree of spread of pests and diseases in each management block during the deworming process is determined according to the spread status;

[0079] Finally, in step 1033, all variable insect repellent points are allocated according to the spread degree of all pests and diseases, and a dynamic layout strategy of insect repellent points in each management block in the target forestry area during the insect repellent process is obtained.

[0080] In specific implementation, the spread status of the pests and diseases represents the degree and speed of the spread and expansion of the pests and diseases in the forestry area, and is used to evaluate the impact of the pests and diseases on the forestry area ecosystem. In this application, the spread status of the pests and diseases in the current target forestry area can be monitored by existing image recognition technology (such as computer vision, machine learning algorithm). As a preferred embodiment, the spread status of the pests and diseases in the current target forestry area can also be monitored in the following manner, namely: collecting hyperspectral remote sensing image data of the current forestry area; comparing and analyzing the collected hyperspectral remote sensing image of the current forestry area with the reference image before damage by pests and diseases, analyzing the grayscale value of each pixel point in the hyperspectral remote sensing image of the current forestry area at multiple wavelengths to form a grayscale value sequence, and according to the grayscale value sequence , extract the spectral feature vector of each pixel in the hyperspectral remote sensing image of the current forestry area, use the extracted spectral feature vector to perform cluster analysis, and obtain multiple clustering results to distinguish the characteristics of different pests and diseases, calculate the damage probability of each pixel in the hyperspectral remote sensing image of the current forestry area and the damage probability variance of the cluster, and obtain the final damage probability of each pixel. Use the damage probability and clustering results to fit the spectral curve of the hyperspectral remote sensing image of the current forestry area, obtain the parameters of the spectral feature vector, and provide quantitative data for pest and disease identification. Compare the fitted spectral feature vector parameters with the spectral characteristics of known pests and diseases, and identify the spread of pests and diseases by analyzing the changes in spectral characteristics. In this way, the interference of vegetation coverage on identification can be effectively eliminated.

[0081] In addition, in some preferred embodiments of the present application, the degree of pest spread of each management block during the deworming process can be determined according to the spread status, which can be achieved in the following manner, namely: extracting the propagation speed of pests and diseases in each management block during the deworming process from the spread status, selecting a management block as the selected management block, performing a natural exponential operation on the product of the propagation speed corresponding to the selected management block and the area corresponding to the selected management block, and taking the inverse of the value obtained by the natural exponential operation as the degree of pest spread of the selected management block during the deworming process, and continuing to determine the degree of pest spread of the remaining management blocks during the deworming process, wherein the pest spread degree represents a parameter value of the degree of pest spread of the management block during the deworming process, and is used to analyze the spread of pests and diseases.

[0082] Among them, in the specific implementation, all variable insect repellent points are allocated according to all pest and disease spread degrees, and the dynamic layout strategy of insect repellent points in each management block in the target forestry area during the insect repellent process can be implemented in the following way, namely: all pest and disease spread degrees are arranged in descending order, and the sequence obtained by arrangement is used as the pest and disease spread degree sequence, and the pest and disease spread degree greater than the average value of all pest and disease spread degrees is extracted from all pest and disease spread degrees. If the total number of all variable insect repellent points is less than the total number of all extracted pest and disease spread degrees, the variable insect repellent points are dynamically allocated corresponding to all extracted pest and disease spread degrees, and all variable insect repellent points are allocated in sequence according to all extracted pest and disease spread degrees from large to small until all variable insect repellent points are allocated. If the total number of all variable insect repellent points is greater than the total number of all extracted pest and disease spread degrees, The number of variable insect repellent points is dynamically allocated to all extracted pest and disease spread degrees. First, one variable insect repellent point is allocated to each management block corresponding to all extracted pest and disease spread degrees, and then the remaining variable insect repellent points are allocated in sequence from large to small according to all extracted pest and disease spread degrees until all variable insect repellent points are allocated. The variable insect repellent points allocated to each management block and all insect repellent points of the corresponding management block are dynamically adjusted according to the spread state of pests and diseases. The layout of the insect repellent points obtained after the dynamic adjustment is used as the dynamic layout strategy of the insect repellent points of the corresponding management block during the insect repellent process, that is, the dynamic adjustment indicates that the management blocks where pests and diseases have a significant impact on the forestry area are added with insect repellent points, and the management blocks where pests and diseases have no significant impact on the forestry area are removed with insect repellent points. In other embodiments, other methods can also be used to determine, which is not limited here.

[0083] It should be noted that the dynamic layout strategy in the present application represents a strategy for managing the layout of the deworming points in the block during the deworming process, and is used to dynamically deworm pests in forestry areas, thereby improving the deworming effect.

[0084] In step 104, the controllable range of pest control in each management block in the target forestry area is predicted through all distribution networks and all dynamic layout strategies, and then the risk assessment of pests and diseases in the current target forestry area is performed based on all controllable ranges of pest control.

[0085] In some embodiments, predicting the controllable range of insect repellent in each management block in the target forestry area through all distribution networks and all dynamic layout strategies can be achieved by the following steps:

[0086] A management block is selected as the selected management block, and a distribution adjustment result of the insect repellent points in the selected management block is predicted through a distribution network corresponding to the selected management block and a dynamic layout strategy corresponding to the selected management block;

[0087] Determine the controllable range of insect repellent in the selected management block in the target forestry area according to the distribution adjustment result;

[0088] Continue to determine the controllable extent of insect repellent in the remaining management blocks within the target forestry area.

[0089] In specific implementation, the distribution adjustment result of the insect repellent points in the selected management block is predicted by the distribution network corresponding to the selected management block and the dynamic layout strategy corresponding to the selected management block, which can be achieved in the following manner, namely: initialize a distribution adjustment result prediction model, use the distribution network corresponding to the selected management block as the initialization parameter of the distribution adjustment result prediction model, use the dynamic layout strategy corresponding to the selected management block as the constraint parameter of the distribution adjustment result prediction model, and predict the distribution adjustment result of the insect repellent points in the selected management block by the distribution adjustment result prediction model, wherein the distribution adjustment result prediction model is a prediction model of the distribution adjustment result established by using a machine learning algorithm (such as a regression algorithm, a neural network, etc.), and the prediction model is, for example: distribution adjustment result = distribution network corresponding to the selected management block * A + dynamic layout strategy corresponding to the selected management block * B, wherein A and B are weight coefficients, A and B can be determined based on a large number of distribution adjustment results, and can also be determined in other ways in other embodiments, which are not limited here.

[0090] It should be noted that the distribution adjustment results in the present application represent the distribution of the deworming points in the management block after adjustment, wherein the distribution adjustment results include the distribution of the deworming points in the management block, which is used to analyze the pest control situation in the management block, so as to facilitate the response to the uneven distribution of pests and diseases in the target forestry area, thereby improving the deworming effect.

[0091] Among them, in specific implementation, determining the controllable insect repellent range of the selected management block in the target forestry area according to the distribution adjustment result can be achieved in the following manner, namely: obtaining the insect repellent range of the insect repellent point, extracting all the insect repellent points in the distribution adjustment result that are connected to more than 3 insect repellent points, multiplying the total number of all the extracted insect repellent points by the insect repellent range, and using the multiplied range as the insect repellent controllable range component, extracting the total number of remaining insect repellent points in the distribution adjustment result and the insect repellent range, dividing the multiplied range by 2, adding the divided range and the insect repellent controllable range component, and using the added range as the insect repellent controllable range of the selected management block in the target forestry area, wherein, if the insect repellent point is used for deworming, the insect repellent effect of the surrounding pests and diseases will be reduced, and therefore, the insect repellent controllable range will be reduced. In other embodiments, other methods can also be used to determine, which is not limited here.

[0092] It should be noted that the controllable range of insect repellent in the present application reflects the range of controllability when insect repellent is carried out in the management block in the target forestry area, which is used to assess the risk of pests and diseases in the target forestry area, and then carry out corresponding prevention and control in the target forestry area.

[0093] In some embodiments, risk assessment of pests and diseases in the current target forestry area based on all controllable ranges of insect repellent can be achieved by the following steps:

[0094] Collect the pest and disease ranges of pests and diseases in the current target forestry area;

[0095] Determine the pest and disease risk index of the current target forestry area based on all controllable ranges of pest control and the range of the pests and diseases;

[0096] Assess pests and diseases in the current target forestry area based on the pest and disease risk index.

[0097] In specific implementation, determining the pest range of pests and diseases in the current target forestry area can be achieved in the following manner, namely: using a drone in the prior art to collect the pest range of pests and diseases in the current target forestry area, wherein the pest range represents the range involved in pests and diseases in the target forestry area, and is used to evaluate the pests and diseases in the target forestry area; determining the pest and disease risk index of the current target forestry area based on all the controllable insect repellent ranges and the pest and disease range can be achieved in the following manner, namely: dividing the largest controllable insect repellent range by the smallest controllable insect repellent range, performing a logarithmic operation with a base of 2 on the value obtained by the division, using the value obtained by the logarithmic operation as the first value, performing a natural index operation on the pest and disease range, and taking the product of the reciprocal of the value obtained by subtracting the natural index operation from 1 and the first value as the pest and disease risk index of the current target forestry area, wherein the current target forest The pest risk index of a forestry area represents a parameter value of the degree of harm caused by pests and diseases in the target forestry area to the forestry area, and is used to evaluate the pests and diseases in the target forestry area; evaluating the pests and diseases in the current target forestry area through the pest risk index can be achieved in the following manner, namely: if the pest risk index has a value range of 0-0.5, the pests and diseases in the target forestry area are low-risk pests and diseases, and the speed of pest control in the forestry area is reduced; if the pest risk index has a value range of 0.5-0.8, the pests and diseases in the target forestry area are controllable pests and diseases, and the speed of pest control in the forestry area remains unchanged; if the pest risk index has a value range of greater than 0.8, the pests and diseases in the forestry area are uncontrollable pests and diseases, and the speed of pest control in the forestry area is increased; other methods can also be used in other embodiments, which are not limited here.

[0098] In addition, in another aspect of the present application, in some embodiments, the present application provides a forestry pest control management system, referring to Figure 4 , which is a schematic diagram of exemplary hardware and / or software of a forestry pest control management system according to some embodiments of the present application. The forestry pest control management system 400 includes: a monitoring module 401, a processing module 402 and an execution module 403, which are described as follows:

[0099] Monitoring module 401, in this application, monitoring module 401 is mainly used to monitor pests and diseases in the target forestry area and determine the pest and disease information in the current target forestry area;

[0100] Processing module 402, in the present application, processing module 402 is used to construct a pest distribution map of the target forestry area based on the management block division of the target forestry area and the pest information, and then perform demand planning on the pest control points of each management block in the target forestry area according to the pest distribution map, and obtain a distribution network of the pest control points in each management block when performing pest control in the target forestry area;

[0101] It should be noted that the processing module 402 in the present application is also used to determine the recovery rate of the forestry ecology of each management block during the deworming process, and all the deworming points in the management block whose forestry ecology recovery rate is higher than the natural recovery rate of the forestry ecology in the target forestry area are used as variable deworming points. All variable deworming points are dynamically allocated according to the spread status of pests and diseases in the current target forestry area, and a dynamic layout strategy of deworming points in each management block in the target forestry area during the deworming process is obtained;

[0102] Execution module 403, in this application, execution module 403 is mainly used to predict the controllable range of insect repellent in each management block in the target forestry area through all distribution networks and all dynamic layout strategies, and then conduct risk assessment of pests and diseases in the current target forestry area based on all controllable ranges of insect repellent.

[0103] In addition, the present application also provides a computer device, which includes a memory and a processor, the memory stores codes, and the processor is configured to obtain the codes and execute the above-mentioned forestry pest control management method.

[0104] In some embodiments, reference Figure 5 , which is a schematic diagram of the structure of a computer device for implementing a forestry pest control management method according to some embodiments of the present application. The forestry pest control management method in the above embodiment can be Figure 5 The computer device 500 shown in the figure is implemented, and the computer device 500 includes at least one processor 501, a communication bus 502, a memory 503 and at least one communication interface 504.

[0105] The processor 501 may be a general-purpose central processing unit (CPU) or an application-specific integrated circuit (ASIC).

[0106] The communication bus 502 may be used to transmit information between the above-mentioned components.

[0107] The memory 503 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, an optical disc storage (including a compressed optical disc, a laser disc, an optical disc, a digital versatile disc, a Blu-ray disc, etc.), a magnetic disk or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer, but is not limited thereto. The memory 503 may exist independently and be connected to the processor 501 via the communication bus 502. The memory 503 may also be integrated with the processor 501.

[0108] The memory 503 is used to store the program code for executing the solution of the present application, and the execution is controlled by the processor 501. The processor 501 is used to execute the program code stored in the memory 503. The program code may include one or more software modules. The method used in the above embodiment can be implemented by the processor 501 and one or more software modules in the program code in the memory 503.

[0109] The communication interface 504 uses any transceiver or other device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0110] In a specific implementation, as an embodiment, a computer device may include multiple processors, each of which may be a single-CPU processor or a multi-CPU processor. The processor here may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0111] The above-mentioned computer device may be a general-purpose computer device or a special-purpose computer device. In a specific implementation, the computer device may be a desktop computer, a portable computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device or an embedded device. The embodiment of the present application does not limit the type of computer device.

[0112] In addition, the present application also provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, it implements the above-mentioned forestry pest control management method.

[0113] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0114] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A forestry pest control management method, characterized in that: The method includes: Monitor pests and diseases in the target forestry area and determine the pest and disease information in the current target forestry area; Based on the management block division of the target forestry area and the pest information, a pest distribution map of the target forestry area is constructed, and then the pest distribution map is used to perform demand planning for the pest control points of each management block in the target forestry area, so as to obtain a distribution network of the pest control points in each management block when pest control is performed in the target forestry area; Determine the forestry ecological recovery rate of each management block during the deworming process, take all deworming points in the management block whose forestry ecological recovery rate is higher than the natural recovery rate of forestry ecology in the target forestry area as variable deworming points, dynamically allocate all variable deworming points according to the current spread status of pests and diseases in the target forestry area, and obtain the dynamic layout strategy of deworming points in each management block in the target forestry area during the deworming process; Through all distribution networks and all dynamic layout strategies, the controllable range of insect repellent in each management block in the target forestry area is predicted, and then the risk assessment of pests and diseases in the current target forestry area is carried out based on all controllable ranges of insect repellent.

2. The method according to claim 1, characterized in that Constructing a pest and disease distribution map of the target forestry area based on the management area division of the target forestry area and the pest and disease information specifically includes: Obtain management block divisions for target forestry areas; Determine pest and disease area information of each management block according to the management block division and the pest and disease information; Determine the pest and disease distribution map of the target forestry area based on all pest and disease area information.

3. The method according to claim 1, characterized in that Demand planning is performed on the insect repellent points of each management block in the target forestry area based on the pest distribution map, and the distribution network of the insect repellent points in each management block when performing insect repellent in the target forestry area specifically includes: Obtain the insect repellent range of the insect repellent in the target forestry area; Selecting a management block as a selected management block, and extracting the pest density distribution of the selected management block from the pest distribution map; Determining the number of deworming points required for the selected management block according to the deworming range and the area of ​​the selected management block; Determine the distribution network of the deworming points in the selected management block when deworming is performed in the target forestry area through the demand for deworming points and the density distribution of the pests and diseases; Continue to determine the distribution network of deworming points in the remaining management blocks when deworming is carried out in the target forestry area.

4. The method according to claim 1, characterized in that According to the current state of pest spread in the target forestry area, all variable insect repellent points are dynamically allocated, and the dynamic layout strategy of insect repellent points in each management block of the target forestry area during the insect repellent process is obtained, which specifically includes: Monitor the spread of pests and diseases in current target forestry areas; Determining the degree of spread of pests and diseases in each management block during the deworming process according to the spread status; All variable insect repellent points are allocated according to the spread of all pests and diseases, and a dynamic layout strategy of insect repellent points in each management block in the target forestry area during the insect repellent process is obtained.

5. The method according to claim 1, characterized in that The controllable range of insect repellent in each management block in the target forest area is predicted through all distribution networks and all dynamic layout strategies, including: A management block is selected as the selected management block, and a distribution adjustment result of the insect repellent points in the selected management block is predicted through a distribution network corresponding to the selected management block and a dynamic layout strategy corresponding to the selected management block; Determine the controllable range of insect repellent in the selected management block in the target forestry area according to the distribution adjustment result; Continue to determine the controllable extent of insect repellent in the remaining management blocks within the target forestry area.

6. The method according to claim 1, characterized in that The risk assessment of pests and diseases in the current target forestry area is carried out from all controllable areas of insect repellent, including: Collect the pest and disease ranges of pests and diseases in the current target forestry area; Determine the pest and disease risk index of the current target forestry area based on all controllable ranges of pest control and the range of the pests and diseases; Assess pests and diseases in the current target forestry area based on the pest and disease risk index.

7. The method according to claim 1, characterized in that The forestry area is a mangrove forestry area.

8. A forestry pest control management system, characterized in that: include: A monitoring module is used to monitor pests and diseases in the target forestry area and determine the pest and disease information in the current target forestry area; A processing module is used to construct a pest distribution map of the target forestry area based on the management block division of the target forestry area and the pest information, and then perform demand planning on the pest control points of each management block in the target forestry area according to the pest distribution map, so as to obtain a distribution network of the pest control points in each management block when pest control is performed in the target forestry area; The processing module is also used to determine the recovery rate of the forestry ecology of each management block during the deworming process, and use all deworming points in the management block whose forestry ecology recovery rate is higher than the natural recovery rate of the forestry ecology in the target forestry area as variable deworming points, and dynamically allocate all variable deworming points according to the spread status of pests and diseases in the current target forestry area, so as to obtain a dynamic layout strategy of deworming points in each management block in the target forestry area during the deworming process; The execution module is used to predict the controllable range of pest control in each management block in the target forestry area through all distribution networks and all dynamic layout strategies, and then conduct risk assessment of pests and diseases in the current target forestry area based on all controllable ranges of pest control.

9. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores codes, and the processor is configured to obtain the codes and execute the forestry pest control management method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the forestry pest control management method according to any one of claims 1 to 7 is implemented.

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