Crop monitoring method, device and equipment and computer readable storage medium

Abstract

The invention provides a crop monitoring method, device and equipment and a computer readable storage medium, and the method comprises the steps: determining a target monitoring region and planting risk data of the target monitoring region in response to disaster early warning information; determining a task generation condition required for generating a growth monitoring task according to the planting insurance data, wherein the growth monitoring task is used for monitoring the growth state of a target crop in the target monitoring area; acquiring current crop information of the target monitoring area; generating a growth monitoring task under the condition that the current crop information meets the task generation condition; and sending the growth monitoring task to a target monitoring terminal, so that the target monitoring terminal monitors a target crop according to the growth monitoring task. According to the invention, the accuracy of monitoring the affected crops is improved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a crop monitoring method, device, equipment and computer-readable storage medium. Background Art

[0002] The daily intelligent monitoring of the core indicators of crop growth is a key part of smart agriculture. The grasp of growth trends has a positive guiding significance for the refined management of crops. However, for some crops that need to analyze the impact of natural disasters on their growth, if the entire growth cycle is monitored, it is easy to have no natural disasters and no need to use the monitoring data, thus leading to the problem of waste of resources. In addition, the method of monitoring the entire growth cycle has low accuracy in determining the time of disaster occurrence and the crop status before the disaster, which can easily lead to large data errors in the final monitoring data. Summary of the invention

[0003] The present application provides a crop monitoring method, device, equipment and computer-readable storage medium, aiming to reduce the waste of crop monitoring resources and improve the accuracy of crop monitoring data.

[0004] In a first aspect, the present application provides a crop monitoring method, the crop monitoring method comprising the following steps:

[0005] In response to the disaster warning information, determining a target monitoring area and crop risk data of the target monitoring area;

[0006] Determining task generation conditions required for generating a growth monitoring task according to the crop insurance data, wherein the growth monitoring task is used to monitor the growth status of target crops in the target monitoring area;

[0007] Acquire current crop information of the target monitoring area;

[0008] When the current crop information meets the task generation condition, generating a growth monitoring task;

[0009] The growth monitoring task is sent to a target monitoring terminal, so that the target monitoring terminal monitors the target crop according to the growth monitoring task.

[0010] In a second aspect, the present application further provides a crop monitoring device, the crop monitoring device comprising:

[0011] A data determination module, for determining a target monitoring area and crop risk data of the target monitoring area in response to disaster warning information;

[0012] A condition determination module, used to determine the task generation conditions required for generating a growth monitoring task according to the crop insurance data, wherein the growth monitoring task is used to monitor the growth status of the target crop in the target monitoring area;

[0013] An information acquisition module, used to acquire current crop information in the target monitoring area;

[0014] A task generation module, used for generating a growth monitoring task when the current crop information meets the task generation condition;

[0015] The task sending module is used to send the growth monitoring task to the target monitoring terminal, so that the target monitoring terminal monitors the target crop according to the growth monitoring task.

[0016] In a third aspect, the present application also provides a computer device, comprising a processor, a memory, and a computer program stored in the memory and executable by the processor, wherein when the computer program is executed by the processor, the steps of the crop monitoring method as described above are implemented.

[0017] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of the above-mentioned crop monitoring method are implemented.

[0018] The present application provides a crop monitoring method, apparatus, equipment and computer-readable storage medium. The present application determines the target monitoring area and the planting risk data of the target detection area that need to be monitored for crops in response to disaster warning information, so as to determine the task generation conditions required for generating a growth monitoring task according to the planting risk data, and generates a growth monitoring task and sends the generated growth monitoring task to a target monitoring terminal when the current crop information obtained meets the task generation conditions, so that the target monitoring terminal monitors the target crops in the target monitoring area, thereby avoiding the waste of resources caused by the occurrence of disasters during the entire growth cycle, and by setting the task generation conditions, and only generating the growth monitoring task when the current crop information obtained meets the task generation conditions, so as to improve the accuracy of determining the time of disaster occurrence and the accuracy of determining the crop status before the disaster occurs, thereby improving the accuracy of the final monitoring data. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0020] Figure 1 A flowchart of the steps of a crop monitoring method provided in one embodiment of the present application;

[0021] Figure 2 A process scenario diagram of a crop monitoring method provided in an embodiment of the present application;

[0022] Figure 3 A flowchart of the steps of a crop monitoring method provided in another embodiment of the present application;

[0023] Figure 4 is a schematic diagram of a crop monitoring device provided in an embodiment of the present application;

[0024] Figure 5 A schematic block diagram of the structure of a computer device provided in an embodiment of the present application.

[0025] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0027] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0028] The embodiments of the present application provide a crop monitoring method, device, computer equipment and computer-readable storage medium. The crop monitoring method can be applied to a terminal device, which can be an electronic device such as a tablet computer, a laptop computer, a desktop computer, etc. It can also be applied to a server, which can be a separate server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (CDNs), and big data and artificial intelligence platforms.

[0029] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0030] Please refer to Figure 1 and Figure 2 , Figure 1 A flowchart of a crop monitoring method provided in one embodiment of the present application is provided. Figure 2 A process scenario diagram of a crop monitoring method provided in an embodiment of the present application.

[0031] like Figure 1 Shown and Figure 2 As shown, the crop monitoring method includes steps S101 to S105.

[0032] Step S101: In response to disaster warning information, determine a target monitoring area and crop risk data of the target monitoring area.

[0033] Exemplarily, the disaster warning information includes a warning area, and thus a target monitoring area is determined based on the disaster warning information, and a crop risk corresponding to the area is determined based on the target monitoring area to monitor the crops in the area.

[0034] In the specific implementation process, crop insurance includes but is not limited to regional information and crop type information, etc., so that the crop insurance corresponding to the target monitoring area can be determined according to the area, and the crops that need to be monitored can be determined according to the crop type information in the determined crop insurance, so that the data generated by the monitoring is more in line with the actual data needed, thereby improving the data utilization rate and the accuracy of crop monitoring, and determining the target monitoring area in response to disaster warning information, reducing the risk of wasting resources due to no natural disasters occurring during crop monitoring.

[0035] In some embodiments, the disaster warning information includes: disaster warning information pushed by a disaster warning platform with a disaster level greater than or equal to a preset level; and / or disaster warning information determined based on historical disaster information.

[0036] Exemplarily, the disaster warning information is information pushed by the disaster warning platform, which includes but is not limited to the meteorological bureau platform, etc. Among them, the disaster warning platform will also analyze the impact of natural disasters and determine the disaster level of the disaster warning. When the disaster level corresponding to the disaster warning information is greater than or equal to the preset level, the corresponding target monitoring area is determined according to the disaster warning information; and if the disaster level corresponding to the disaster warning information is not greater than the preset level, there is no need to monitor, so as to improve the data utilization rate. In the specific implementation process, the preset level is the yellow warning level, that is, when the warning level of a certain disaster warning information is greater than or equal to the yellow warning, such as a yellow rainstorm warning, or a red rainstorm warning, the corresponding target monitoring area needs to be determined to monitor the target monitoring area, and when the disaster warning information is not greater than the preset level, for example, only a rainstorm warning is issued, but the rainstorm warning does not reach the yellow rainstorm warning, there is no need to respond to the disaster warning information, which improves the automation and intelligence level of crop monitoring.

[0037] In other embodiments, disaster warning information is determined through historical disaster information to improve the intelligence of monitoring. It should be understood that in some areas there may be seasonal typhoons, rainfall, etc., that is, the probability of natural disasters occurring in the corresponding months of each year is higher, so the natural disasters of the current year can be predicted based on the historical disaster information of the historical years, and the corresponding disaster warning information can be generated.

[0038] In some embodiments, the disaster warning information determined based on historical disaster information includes: obtaining historical disaster information within a preset time period at a preset time point; and determining disaster warning information within a target time period corresponding to the preset time period based on the historical disaster information within the preset time period.

[0039] In the specific implementation process, the preset time period includes duration and date. Specifically, the duration includes but is not limited to 7 days, 15 days or 30 days, that is, natural disasters can be predicted in units of weeks or months. In addition, the date includes but is not limited to seasons or months. For example, the preset time period includes June 1st to June 30th of historical years, that is, the disasters that occurred in June of historical years are counted, so as to predict whether natural disasters will occur in June of the current year based on the statistics of natural disasters that occurred in June of historical years, so as to determine whether to monitor crops in the corresponding target monitoring area, and predict disaster warning information through historical disaster information to improve the intelligence of crop monitoring.

[0040] Step S102: determining task generation conditions required for generating a growth monitoring task according to the crop risk data, wherein the growth monitoring task is used to monitor the growth status of the target crop in the target monitoring area.

[0041] Exemplarily, after determining the crop risk in the target monitoring area, the task generation conditions required to generate a growth monitoring task are determined based on the data in the crop risk, so that the growth monitoring task is generated after the task generation conditions are met, thereby monitoring the growth status of the target crops in the target monitoring area according to the growth monitoring task.

[0042] In the specific implementation process, the target crops are crops covered by crop insurance. The crop insurance data needs to be compared before and after the disaster. Therefore, in the process of generating the monitoring task, it includes multiple information to be confirmed or to be filled in. After all the information to be confirmed is confirmed and the information to be filled in is completed, the growth monitoring task is generated.

[0043] In some embodiments, the task generation conditions required for generating a growth monitoring task according to the crop insurance data include: determining at least one of the monitoring time conditions, sampling location conditions and evidence consolidation conditions required for generating a growth monitoring task according to the crop insurance data.

[0044] Exemplarily, the monitoring time condition is the information that monitoring starts after responding to the disaster warning information, and the sampling location condition is the location of the target monitoring area. In a specific implementation process, the insurance personnel are required to arrive at the target monitoring area to take samples and solidify the evidence. When the insurance personnel arrive at the target monitoring area to take samples and solidify the evidence, it can be determined whether the corresponding sampling location conditions and solidification conditions are met. It should be understood that after the above multiple conditions are met, the status information of the target crops before the disaster is completed and improved, making the information of the target crops before the disaster more accurate, thereby improving the accuracy of the changes in the status of crops before and after the disaster, making the claims based on crop insurance more accurate and reducing the risk of claims.

[0045] Step S103: Acquire current crop information of the target monitoring area.

[0046] Exemplarily, the current crop information obtained includes but is not limited to the growth cycle information of all crops in the target monitoring area, the types of crops, etc. It should be understood that a variety of crops may be planted in the same area, and when the crop insurance does not cover all crops in the protected area, it is necessary to determine the target crops to be protected so as to monitor the target crops. There is no need to monitor the remaining crops, so as to improve data utilization and claims accuracy.

[0047] In the specific implementation process, after determining the target monitoring area, the current crop information in the target monitoring area is obtained to filter according to the current crop information. Specifically, obtaining the current crop information includes but is not limited to the monitoring terminal acquiring information from the target monitoring area, and the insurance personnel arriving at the target monitoring area to take samples and consolidate evidence, that is, the monitoring terminal can acquire images of the target monitoring area, and identify crops based on the acquired images, so as to determine the target crops and the current growth status of the target crops. The insurance personnel can also arrive at the target monitoring area to take samples to determine the current growth status of the target crops, and consolidate evidence to determine the growth of the target crops before the disaster. Taking wheat as the target crop as an example, the current wheat information obtained includes but is not limited to pictures of the number of wheat ears and the number of grains in the wheat ears, etc. It should be understood that the target crop can also be other crops, and the corresponding crop information can also be recorded in the form of pictures or text, etc., which is not limited in this application.

[0048] Step S104: generating a growth monitoring task when the current crop information meets the task generation condition.

[0049] Exemplarily, when the acquired current crop information meets the task generation conditions, a growth monitoring task is generated to monitor the target crops in the target monitoring area.

[0050] Specifically, the current crop information obtained includes but is not limited to the information required for task generation conditions, and may also include more information to improve the coverage of growth information on target crops.

[0051] In some embodiments, when the current crop information meets the task generation condition, a growth monitoring task is generated, including: when the monitoring time of the current crop information meets the monitoring time condition, the monitoring location of the current crop information meets the sampling location condition, and the evidence-fixing method of the current crop information meets the evidence-fixing condition, the growth monitoring task is generated.

[0052] In the specific implementation process, the current crop information at least includes the monitoring time, monitoring location and the method of solidifying evidence. Among them, the monitoring time is, for example, the monitoring start time or the time of entering the crop status information before the disaster. Specifically, the monitoring start time is the moment when the monitoring terminal starts to monitor the target crops in the target monitoring area. At this moment, through manual review or preset monitoring time conditions, it is determined that the monitoring time of the current crop information meets the monitoring time conditions, and / or, when the moment of completing the entry of the crop status information before the disaster, through manual review or preset monitoring time conditions, it is determined that the monitoring time of the current crop information meets the monitoring time conditions, so as to improve the accuracy of the crop status information before the disaster, thereby reducing the risk of claims. The monitoring location is, for example, the location of the target monitoring area. When determining the crop status information before the disaster, the status information of the same crop in other areas may be selected as a substitute, so there is a risk of policy fraud. The risk of claims is reduced by determining the monitoring location.

[0053] Specifically, the insurance personnel go to the correct target monitoring area to obtain the planting image of the target crop, and compare the planting image obtained by the insurance personnel with the uploaded planting image of the target crop in the target monitoring area to determine whether the monitoring location meets the sampling location conditions. It should be understood that if the image similarity between the two images is high, it is determined that the monitoring location meets the sampling location conditions. The solid evidence method is used to indicate the method for determining the state of the target crop before the disaster. If the solid evidence fails, the method or information for determining the state of the target crop before the disaster is incorrect, and the state of the target crop before the disaster cannot be accurately determined. In the specific implementation process, the insurance personnel obtain the information required for solid evidence in the target monitoring area, such as obtaining a target crop for solid evidence, so as to predict the growth of the target crop based on the target crop information used for solid evidence, so as to be able to compare the state of the target crop after the disaster with the expected growth state of the target crop, thereby improving the accuracy of the comparison results and reducing the risk of claims.

[0054] It should be noted that when the current crop information can meet the above-mentioned multiple task generation conditions, a growth monitoring task is generated; if the information included in the current crop information fails to meet at least one of the above-mentioned task generation conditions, the output condition unsatisfied information is used to enable the person in danger or the insurance personnel to redetermine the information required for the corresponding task generation conditions, so that it is determined whether the task generation conditions are met based on the redetermined information, until all task generation conditions are met, and the growth monitoring task is generated.

[0055] In other embodiments, after determining that the current crop information can meet the above-mentioned multiple task generation conditions, the task generation conditions and the information that meets the corresponding task generation conditions are output so that insurance personnel can perform manual review, thereby improving the accuracy of the data and reducing the risk of claims.

[0056] Step S105: sending the growth monitoring task to a target monitoring terminal, so that the target monitoring terminal monitors the target crop according to the growth monitoring task.

[0057] Exemplarily, after the growth monitoring task is generated, the growth monitoring task is sent to the target monitoring terminal, so that the target monitoring terminal adjusts the working state based on the growth monitoring task to monitor the target crop.

[0058] It should be understood that the monitoring performed by the target monitoring terminal according to the growth monitoring task should cover the time from before the disaster corresponding to the disaster warning information to after the disaster occurs, so as to obtain images or videos corresponding to the disaster situation of the target crops.

[0059] In a specific implementation process, the target monitoring terminal is used to monitor crops in other areas or other crops in the target monitoring area before receiving the growth monitoring task, and adjusts the working state after receiving the growth monitoring task to monitor the target crops in the target monitoring area. In a specific implementation, the target monitoring terminal only monitors the target crops in the target monitoring area to improve the monitoring effect, thereby improving the accuracy of determining the state of the target crops before and after the disaster.

[0060] See also Figure 3 , Figure 3 A flowchart of the steps of a crop monitoring method provided in another embodiment of the present application.

[0061] In some embodiments, the crop monitoring method further includes step S106.

[0062] Step S106: determining compensation data according to the monitoring data of the target monitoring terminal and the crop insurance data.

[0063] For example, after a natural disaster is over, the data required for compensation based on the crop insurance is determined based on the monitoring data obtained by the target monitoring terminal on the target crops and the crop insurance data. Specifically, the compensation data includes but is not limited to the compensation amount or other compensation products.

[0064] It should be understood that by determining the compensation data through monitoring data and crop insurance data, automated insurance compensation is achieved, and by confirming and supplementing the data before generating the growth monitoring task, the claims risk can be effectively reduced. Based on this, the compensation process based on monitoring data and crop insurance data is carried out under a more complete claims risk control system, which improves compensation efficiency and reduces labor costs and claims risks.

[0065] In some embodiments, determining the compensation data based on the monitoring data of the target monitoring terminal and the crop insurance data includes: determining the crop growth prediction data according to the current crop information based on a preset crop growth prediction model; determining the compensation data according to the monitoring data of the target monitoring terminal, the crop growth prediction data and the crop insurance.

[0066] For example, in some crop insurance, it is necessary to compare the target crops in normal production with the target crops after the disaster to determine the compensation data. Specifically, the growth of the target crops is predicted by obtaining the information of the target crops before generating the growth monitoring task; for example, based on a preset crop growth prediction model, the crop growth prediction data is determined according to the current crop information to determine the expected growth of the target crops before the disaster, and then the expected growth situation is compared with the actual situation (the situation after the disaster) to determine the compensation data required for the crop insurance.

[0067] In other embodiments, compensation data is determined based on monitoring data, crop insurance data and post-disaster input data, wherein the post-disaster input data is specific data of the target crops after the disaster input by the insurance personnel or the insured person, including but not limited to the number of surviving target crops, whether there are empty shells and other data. It should be understood that the monitoring data of the target monitoring terminal includes images of the target crops after the disaster, so as to determine the disaster situation of the target crops based on the image processing algorithm. However, in some scenarios, although the target crops cannot continue to grow after the disaster, they are still in a state of not lodging, thereby affecting the final disaster situation. Therefore, the post-disaster input data can supplement or correct the monitoring data to enhance and reduce the risk of compensation.

[0068] The crop monitoring method provided in the above embodiment responds to disaster warning information, determines the target monitoring area that needs to be monitored for crops and the crop insurance data of the target detection area, and determines the task generation conditions required for generating a growth monitoring task based on the crop insurance data, and generates a growth monitoring task when the current crop information obtained meets the task generation conditions and sends the generated growth monitoring task to the target monitoring terminal, so that the target monitoring terminal monitors the target crops in the target monitoring area, avoiding the waste of resources caused by the occurrence of disasters during the entire growth cycle, and by setting the task generation conditions, and only generating the growth monitoring task when the current crop information obtained meets the task generation conditions, the accuracy of determining the time of disaster occurrence and the accuracy of determining the crop status before the disaster occurs are improved, thereby improving the accuracy of the final monitoring data, reducing the insurance claim risk, and improving the insurance processing efficiency and intelligence.

[0069] See also Figure 4 , Figure 4is a schematic diagram of a crop monitoring device provided in an embodiment of the present application. The crop monitoring device can be configured in a server or a terminal to execute the aforementioned crop monitoring method.

[0070] like Figure 4 As shown, the crop monitoring device 100 includes: a data determination module 110 , a condition determination module 120 , an information acquisition module 130 , a task generation module 140 , and a task sending module 150 .

[0071] The data determination module 110 is used to determine the target monitoring area and the crop risk data of the target monitoring area in response to the disaster warning information.

[0072] The condition determination module 120 is used to determine the task generation conditions required for generating a growth monitoring task based on the crop risk data, and the growth monitoring task is used to monitor the growth status of the target crop in the target monitoring area.

[0073] The information acquisition module 130 is used to acquire the current crop information of the target monitoring area.

[0074] The task generation module 140 is used to generate a growth monitoring task when the current crop information meets the task generation condition.

[0075] The task sending module 150 is used to send the growth monitoring task to the target monitoring terminal, so that the target monitoring terminal monitors the target crop according to the growth monitoring task.

[0076] Exemplarily, the condition determination module 120 is also used to determine at least one of the monitoring time conditions, sampling location conditions and evidence consolidation conditions required to generate a growth monitoring task based on the crop insurance data.

[0077] Exemplarily, the task generation module 140 is also used to generate the growth monitoring task when the monitoring time of the current crop information meets the monitoring time condition, the monitoring location of the current crop information meets the sampling location condition, and the evidence-fixing method of the current crop information meets the evidence-fixing condition.

[0078] Exemplarily, the data determination module 110 is also used to determine the target monitoring area and the crop risk data of the target monitoring area in response to disaster warning information pushed by the disaster warning platform and indicating that the disaster level is greater than or equal to a preset level, and / or to determine the target monitoring area and the crop risk data of the target monitoring area in response to disaster warning information determined based on historical disaster information.

[0079] Exemplarily, the data determination module 110 further includes a historical disaster information acquisition submodule and a disaster warning information determination submodule.

[0080] The historical disaster information acquisition submodule is used to acquire historical disaster information within a preset time period at a preset time point;

[0081] The disaster warning information determination submodule is used to determine the disaster warning information within the target time period corresponding to the preset time period based on the historical disaster information within the preset time period.

[0082] Exemplarily, the crop monitoring device 100 further includes a compensation data determination submodule.

[0083] The compensation data determination submodule is used to determine the compensation data based on the monitoring data of the target monitoring terminal and the crop insurance.

[0084] Exemplarily, the compensation data determination submodule includes a growth prediction submodule.

[0085] The growth prediction submodule is used to determine the compensation data based on the monitoring data of the target monitoring terminal, the crop growth prediction data and the planting insurance data.

[0086] It should be noted that those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices and modules and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0087] See also Figure 5 , Figure 5 A schematic block diagram of the structure of a computer device provided in an embodiment of the present application. The computer device may be a server or a terminal.

[0088] like Figure 5 As shown, the computer device includes a processor, a memory, and a network interface connected via a system bus, wherein the memory may include a storage medium and an internal memory.

[0089] The storage medium can store an operating system and a computer program. The computer program includes program instructions, and when the program instructions are executed, the processor can execute any crop monitoring method.

[0090] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.

[0091] The internal memory provides an environment for the operation of the computer program in the storage medium. When the computer program is executed by the processor, the processor can execute any crop monitoring method.

[0092] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Figure 5The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0093] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0094] In one embodiment, the processor is used to run a computer program stored in the memory to implement the following steps:

[0095] In response to the disaster warning information, determining a target monitoring area and crop risk data of the target monitoring area;

[0096] Determining task generation conditions required for generating a growth monitoring task according to the crop insurance data, wherein the growth monitoring task is used to monitor the growth status of target crops in the target monitoring area;

[0097] Acquire current crop information of the target monitoring area;

[0098] When the current crop information meets the task generation condition, generating a growth monitoring task;

[0099] The growth monitoring task is sent to a target monitoring terminal, so that the target monitoring terminal monitors the target crop according to the growth monitoring task.

[0100] In one embodiment, when the processor determines the task generation conditions required for generating the growth monitoring task according to the plant insurance data, it is used to implement:

[0101] At least one of the monitoring time conditions, sampling location conditions and evidence consolidation conditions required to generate a growth monitoring task is determined based on the crop insurance data.

[0102] In one embodiment, when the processor generates a growth monitoring task when the current crop information meets the task generation condition, the processor is used to implement:

[0103] The growth monitoring task is generated when the monitoring time of the current crop information meets the monitoring time condition, the monitoring location of the current crop information meets the sampling location condition, and the evidence-fixing method of the current crop information meets the evidence-fixing condition.

[0104] In one embodiment, when the processor determines the target monitoring area and the crop risk data of the target monitoring area in response to the disaster warning information, it is used to implement:

[0105] In response to disaster warning information pushed by a disaster warning platform with a disaster level greater than or equal to a preset level, determine the target monitoring area and crop risk data of the target monitoring area; and / or be used to determine the target monitoring area and crop risk data of the target monitoring area in response to disaster warning information determined based on historical disaster information.

[0106] In one embodiment, when implementing disaster warning information determined according to historical disaster information, the processor is used to implement:

[0107] At a preset time point, obtain historical disaster information within a preset time period;

[0108] Disaster warning information within a target time period corresponding to the preset time period is determined based on historical disaster information within the preset time period.

[0109] In one embodiment, when implementing the crop monitoring method, the processor is further used to implement:

[0110] The compensation data is determined based on the monitoring data of the target monitoring terminal and the crop insurance.

[0111] In one embodiment, when determining the compensation data according to the monitoring data of the target monitoring terminal and the crop insurance data, the processor is used to implement:

[0112] Based on a preset crop growth prediction model, determining crop growth prediction data according to the current crop information;

[0113] The compensation data is determined based on the monitoring data of the target monitoring terminal, the crop growth prediction data and the crop insurance data.

[0114] It should be noted that those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the computer device described above can refer to the corresponding process in the aforementioned crop monitoring method embodiment, and will not be repeated here.

[0115] An embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored. The computer program includes program instructions. The method implemented when the program instructions are executed can refer to the various embodiments of the crop monitoring method of the present application.

[0116] The computer-readable storage medium may be an internal storage unit of the computer device described in the foregoing embodiment, such as a hard disk or memory of the computer device. The computer-readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc., equipped on the computer device.

[0117] It should be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0118] It should also be understood that the term "and / or" used in the specification of this application and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, including these combinations. It should be noted that, in this article, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "including a..." does not exclude the presence of other identical elements in the process, method, article or system including the element.

[0119] The serial numbers of the embodiments of the present application are for description only and do not represent the advantages and disadvantages of the embodiments. The above description is only a specific implementation mode of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A crop monitoring method, characterized in that: include: In response to the disaster warning information, determining a target monitoring area and crop risk data of the target monitoring area; Determining task generation conditions required for generating a growth monitoring task according to the crop insurance data, wherein the growth monitoring task is used to monitor the growth status of target crops in the target monitoring area; Acquire current crop information of the target monitoring area; When the current crop information meets the task generation condition, generating a growth monitoring task; The growth monitoring task is sent to a target monitoring terminal, so that the target monitoring terminal monitors the target crop according to the growth monitoring task.

2. The crop monitoring method according to claim 1, characterized in that: The step of determining the task generation conditions required for generating the growth monitoring task according to the plant insurance data includes: At least one of the monitoring time conditions, sampling location conditions and evidence consolidation conditions required to generate a growth monitoring task is determined based on the crop insurance data.

3. The crop monitoring method according to claim 2, characterized in that: When the current crop information meets the task generation condition, generating a growth monitoring task includes: The growth monitoring task is generated when the monitoring time of the current crop information meets the monitoring time condition, the monitoring location of the current crop information meets the sampling location condition, and the evidence-fixing method of the current crop information meets the evidence-fixing condition.

4. The crop monitoring method according to any one of claims 1 to 3, characterized in that: The disaster warning information includes: Disaster warning information pushed by the disaster warning platform with a disaster level greater than or equal to the preset level; and / or Disaster warning information determined based on historical disaster information.

5. The crop monitoring method according to claim 4, characterized in that: The disaster warning information determined based on historical disaster information includes: At a preset time point, obtain historical disaster information within a preset time period; Disaster warning information within a target time period corresponding to the preset time period is determined based on historical disaster information within the preset time period.

6. The crop monitoring method according to any one of claims 1 to 3, characterized in that: The method further comprises: The compensation data is determined based on the monitoring data of the target monitoring terminal and the crop insurance.

7. The crop monitoring method according to claim 6, characterized in that: The determining of compensation data according to the monitoring data of the target monitoring terminal and the crop insurance data includes: Based on a preset crop growth prediction model, determining crop growth prediction data according to the current crop information; The compensation data is determined based on the monitoring data of the target monitoring terminal, the crop growth prediction data and the crop insurance data.

8. A crop monitoring device, characterized in that: The crop monitoring device comprises: A data determination module, for determining a target monitoring area and crop risk data of the target monitoring area in response to disaster warning information; A condition determination module, used to determine the task generation conditions required for generating a growth monitoring task according to the crop insurance data, wherein the growth monitoring task is used to monitor the growth status of the target crop in the target monitoring area; An information acquisition module, used to acquire current crop information in the target monitoring area; A task generation module, used for generating a growth monitoring task when the current crop information meets the task generation condition; The task sending module is used to send the growth monitoring task to the target monitoring terminal, so that the target monitoring terminal monitors the target crop according to the growth monitoring task.

9. A computer device, characterized in that: The computer device includes a processor, a memory, and a computer program stored in the memory and executable by the processor, wherein when the computer program is executed by the processor, the steps of the crop monitoring method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, the steps of the crop monitoring method according to any one of claims 1 to 7 are implemented.

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