Intelligent agricultural investigation system and method

Abstract

The invention relates to a system and a method for the intelligent investigation of a hour farmer, and belongs to the technical field of agricultural supervision, and the system comprises a management module and an investigation module, the management module is used for creating a hour farmer investigation task, and after the hour farmer investigation task is allocated to the investigation module, the hour farmer investigation task is sent to the investigation module; receiving filling data after the agricultural investigation task is completed by the investigation module, generating a machine account based on the filling data, and creating a subsidy publicity based on the machine account; and the investigation module is used for receiving the hour agriculture investigation task, determining a to-be-investigated area and to-be-investigated crops based on the hour agriculture investigation task, performing data acquisition on the to-be-investigated area and the to-be-investigated crops, obtaining filling data based on the acquired data, and uploading the filling data to the management module. The working efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of agricultural supervision, and in particular to an intelligent agricultural survey system and method. Background Art

[0002] With the progress of the times and the adjustment of policies, the support for the agricultural sector has been continuously strengthened, the amount of agricultural subsidies has steadily increased, and the types of subsidies have become more detailed. At the same time, the workload of traditional data aggregation and subsidy review has also been increasing.

[0003] At present, standardized processes and information systems have been preliminarily established, which can basically ensure the smooth issuance of agricultural subsidies. However, in-depth research has found that the existing information system is inefficient in verifying agricultural subsidy qualifications due to information asymmetry, difficulties in comprehensive on-site authenticity verification of planting plots, and omissions of ledger information. Summary of the Invention

[0004] In view of this, it is necessary to provide an intelligent agricultural survey system and method to solve the technical problem of low efficiency in agricultural subsidy qualification verification.

[0005] In order to solve the above problems, in a first aspect, the present invention provides an intelligent agricultural survey system, comprising a management module and a survey module; The management module is used to create a seasonal agricultural survey task, assign the seasonal agricultural survey task to the survey module, receive the reported data after the survey module completes the seasonal agricultural survey task, generate a ledger based on the reported data, and create a subsidy announcement based on the ledger; The survey module is used to receive the seasonal agricultural survey task, determine the area to be surveyed and the crops to be surveyed based on the seasonal agricultural survey task, collect data on the area to be surveyed and the crops to be surveyed, obtain reporting data based on the collected data, and upload the reporting data to the management module.

[0006] In a possible implementation, the management module includes a task allocation unit; The task allocation unit is used to create a seasonal agricultural survey task and allocate the seasonal agricultural survey task to a survey module. The seasonal agricultural survey task at least includes a reporting task and a flight task.

[0007] In a possible implementation, the management module further includes an audit unit, a ledger reporting unit, and a subsidy creation unit; The review unit is used to receive the reported data after the survey module completes the agricultural survey task, and review the reported data, wherein the reported data at least includes the plot area, crop variety, sowing time, and ownership information; The ledger reporting unit is used to obtain the reported data after review, generate a ledger based on the reported data, and report the ledger to show the ledger reporting status and area distribution of each crop in the agricultural survey task; The subsidy creation unit is used to create a subsidy announcement based on the area distribution of each crop.

[0008] In a possible implementation, the management module further includes a flight mission management unit; The flight mission management unit is used to create a flight mission, send the flight mission to the investigation module, receive the flight data after the investigation module completes the flight mission, and display the flight data in a visual manner, wherein the flight data includes historical flight records and collected drone photos.

[0009] In a possible implementation, the survey module includes a data collection unit, a data filling unit, and a data reporting unit; The data collection unit is used to receive the agricultural survey task issued by the management module, determine the area to be surveyed and the crops to be surveyed based on the agricultural survey task, and collect data on the area to be surveyed and the crops to be surveyed; The data reporting unit is used to report the collected data to the agricultural survey task to obtain the reported data; The data reporting unit is used to upload the reported data to the management module.

[0010] In a possible implementation, the investigation module further includes a flight mission execution unit; The flight mission execution unit is used to receive the flight mission issued by the management module, and call the drone to collect data on the area to be surveyed and the crops to be surveyed based on the flight mission.

[0011] In a possible implementation, the survey module further includes a land parcel correction unit; The land parcel correction unit is used to correct the changed land parcel when the land parcel in the area to be investigated changes.

[0012] In a possible implementation, the investigation module further includes an inspection unit; The checking unit is used to screen the plots in the area to be investigated, determine the unreported plots in the area to be investigated, and query the unreported plots.

[0013] In a possible implementation, the survey module further includes a crop area summary unit; The crop area summary unit is used to obtain the area distribution of the crops to be surveyed in the area to be surveyed, summarize the area distribution of each crop to be surveyed, and obtain the total area of ​​each crop to be surveyed in the area to be surveyed.

[0014] In a second aspect, the present invention further provides an intelligent agricultural survey method, which is implemented by the above-mentioned construction and municipal engineering data management system, comprising: Creating a seasonal agricultural survey task based on the management module, assigning the seasonal agricultural survey task to the survey module, receiving the reported data after the survey module completes the seasonal agricultural survey task, generating a ledger based on the reported data, and creating a subsidy announcement based on the ledger; The survey module receives the agricultural survey task, determines the area to be surveyed and the crops to be surveyed based on the agricultural survey task, collects data on the area to be surveyed and the crops to be surveyed, obtains reporting data based on the collected data, and uploads the reporting data to the management module.

[0015] The beneficial effects of the present invention are as follows: the management module creates an agricultural survey task, and the survey module completes the agricultural survey task. By calling drones or on-site data collection on the survey area and the crops to be surveyed, the reported data is obtained, and the reported data is approved, which solves the problem of difficulty in comprehensive on-site authenticity verification of the planting plots, improves the reliability and timeliness of the data, performs statistical analysis on the reported data, generates a ledger, creates a subsidy announcement based on the ledger, generates a ledger through statistical analysis of the reported data, solves the problem of missing ledger information, and through the joint action of the management module and the survey module, the survey and reporting of crops, data collection, review, and summary analysis are integrated into one, which improves work efficiency and thereby improves the efficiency of agricultural subsidy qualification verification. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 A structural diagram of an embodiment of the agricultural intelligent survey system provided by the present invention; Figure 2 A structural diagram of an embodiment of a management module of the agricultural intelligent survey system provided by the present invention; Figure 3 This is a structural diagram of an embodiment of the survey module of the agricultural intelligent survey system provided by the present invention; Figure 4A schematic diagram of a flow chart of an embodiment of the agricultural intelligent survey method provided by the present invention; Figure 5 A schematic diagram of a management page for a timely agricultural survey of the intelligent timely agricultural survey method provided by the present invention; Figure 6 This is a schematic diagram of the inspection and reporting page of the smart agricultural survey method provided by the present invention; Figure 7 This is a schematic diagram of the data summary and analysis page of the smart agricultural survey method provided by the present invention; Figure 8 This is a schematic diagram of the drone flight collection page of the agricultural intelligent survey method provided by the present invention; Figure 9 This is a schematic diagram of the plot and crop reporting page of the smart agricultural survey method provided by the present invention; Figure 10 This is a schematic diagram of the subsidy disclosure page of the smart agricultural survey method provided by the present invention. DETAILED DESCRIPTION

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0019] In the description of the embodiments of the present invention, unless otherwise specified, "plurality" means two or more. "And / or" describes the association relationship between associated objects, indicating that three relationships can exist. For example, "A and / or B" can mean: A exists alone, A and B exist simultaneously, or B exists alone.

[0020] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0021] The present invention discloses an intelligent agricultural survey system. Figure 1 This is a schematic diagram of the agricultural intelligent survey system provided by the embodiment of the present invention. Figure 1 ,The agricultural intelligent survey system 100 includes a management module 110 and a survey module 120 ; The management module 110 is used to create a seasonal agricultural survey task, assign the seasonal agricultural survey task to the survey module 120, receive the reported data after the survey module 120 completes the seasonal agricultural survey task, generate a ledger based on the reported data, and create a subsidy announcement based on the ledger; The survey module 120 is used to receive agricultural survey tasks, determine the area and crops to be surveyed based on the agricultural survey tasks, collect data on the area and crops to be surveyed, obtain reporting data based on the collected data, and upload the reporting data to the management module 110.

[0022] Through the joint action of the management module and the survey module, the survey and reporting of crops, data collection, review, summary and analysis are integrated into one, thus improving work efficiency.

[0023] In some embodiments of the present invention, see Figure 2 , the management module 110 includes a task allocation unit 111; The task allocation unit 111 is used to create a time-based agricultural survey task and allocate the time-based agricultural survey task to the survey module. The time-based agricultural survey task at least includes a reporting task and a flight task. Before creating a seasonal agricultural survey task, a survey task package is prepared using the plot vector data and base map image data in the prescribed format, and the seasonal agricultural survey task is created based on the survey task package.

[0024] The management module 110 also includes an audit unit 112, a ledger reporting unit 113, and a subsidy creation unit 114; The review unit 112 is used to receive the reported data after the survey module 120 completes the agricultural survey task and review the reported data, which at least includes the plot area, crop variety, sowing time, and ownership information; The audit unit reviews the reported data to ensure the security and compliance of the task process, effectively improves the efficiency and transparency of task management, and guarantees the standardization of data processing and the rigor of approval.

[0025] The ledger reporting unit 113 is used to obtain the reported data after review, generate a ledger based on the reported data after review, and report the ledger to show the ledger reporting status and area distribution of each crop in the agricultural survey task; By displaying crop area distribution data through ledgers, we can optimize decisions such as agricultural subsidy allocation and farmland protection policy adjustments. By reporting the ledgers, we can open the ledger information to departments such as agriculture and ecological environment through data sharing mechanisms to help coordinate cross-sector resources.

[0026] The subsidy creation unit 114 is used to create subsidy announcements based on the area distribution of each crop.

[0027] The management module 110 also includes a flight mission management unit 115; The flight mission management unit 115 is used to create a flight mission, send the flight mission to the investigation module 120, receive the flight data after the investigation module 120 completes the flight mission, and display the flight data in a visual manner, where the flight data includes historical flight records and collected drone photos.

[0028] By summarizing and analyzing the investigators' historical flight records, collected drone photos, flight missions and other data, a comprehensive data display is provided. These data are intuitively displayed through maps, charts and other visual methods, making it easy to view the execution status of flight missions and the collection results, further optimizing the investigation and collection process and improving the efficiency and accuracy of data analysis.

[0029] In some embodiments of the present invention, see Figure 3 , the investigation module 120 includes a data collection unit 121, a data reporting unit 122, and a data reporting unit 123; The data collection unit 121 is configured to receive the agricultural survey task issued by the management module 110, determine the area to be surveyed and the crops to be surveyed based on the agricultural survey task, and collect data on the area to be surveyed and the crops to be surveyed; The data reporting unit 122 is used to report the collected data to the agricultural survey task to obtain the reported data; The data reporting unit 123 is used to upload the reported data to the management module 110 .

[0030] The investigation module 120 also includes a flight mission execution unit 124; The flight mission execution unit 124 is configured to receive the flight missions issued by the management module and, based on the flight missions, call the drones to collect data on the area to be surveyed and the crops to be surveyed.

[0031] The survey module 120 also includes a land parcel correction unit 125; The land parcel correction unit 125 is used to correct the changed land parcels in the survey area when they change. The types of land parcel changes include land classification change, land ownership change, administrative area adjustment, unit name change or attribute update. The land classification change is: the land use nature or purpose of the land parcel changes, such as farmland converted to construction land, forest land converted to garden land; land ownership change is: the ownership, use right or management right of the land parcel changes, such as the ownership adjustment caused by land expropriation, transfer, mortgage, etc.; administrative area adjustment is: the administrative jurisdiction of the land parcels in the survey area changes, such as the affiliation adjustment caused by regional merger, split or boundary redrawing; unit name change or attribute update is: the name of the unit to which the land parcel belongs changes, or the additional attribute information of the land parcel needs to be updated due to planning adjustment. After the change is sent, the change information is verified through on-site evidence.

[0032] The investigation module 120 also includes an inspection unit 126; The checking unit 126 is used to screen the plots in the area to be investigated, determine the unreported plots in the area to be investigated, and query the unreported plots; The plots in the area to be investigated are compared and analyzed with the existing reported database, and unmatched plots are screened out to determine the unreported plots in the area to be investigated.

[0033] The survey module 120 also includes a crop area summary unit 127; The crop area summarizing unit 127 is used to obtain the area distribution of the crops to be surveyed in the area to be surveyed, summarize the area distribution of each crop to be surveyed, and obtain the total area of ​​each crop to be surveyed in the area to be surveyed.

[0034] A specific embodiment of the present invention discloses an intelligent agricultural survey method. Figure 4 This is a flow chart of the agricultural intelligent survey method provided by an embodiment of the present invention. Figure 4 As shown, the agricultural intelligent survey method includes: S401. Create a temporary agricultural survey task based on the management module, assign the temporary agricultural survey task to the survey module, receive the reported data after the survey module completes the temporary agricultural survey task, generate a ledger based on the reported data, and create a subsidy announcement based on the ledger.

[0035] It should be noted that before creating a temporary agricultural survey task through the management module, it is necessary to use the plot vector data and base map image data to prepare a survey task package in the prescribed format, and create a temporary agricultural survey task based on the survey task package. The management module reviews and summarizes the reported data, which simplifies the operation process, reduces personnel input, and improves the reliability and timeliness of the data.

[0036] S402: receiving a seasonal agricultural survey task based on the survey module, determining an area to be surveyed and crops to be surveyed based on the seasonal agricultural survey task, collecting data on the area to be surveyed and crops to be surveyed, obtaining reporting data based on the collected data, and uploading the reporting data to the management module.

[0037] In some embodiments of the present invention, in step S401, a time-based agricultural survey task is created and assigned to a survey module. The time-based agricultural survey task includes at least a survey task and a flight task. In the management module, the administrator enters the user name and password to log in to the desktop terminal and enters the management page of the time-based agricultural survey. The schematic diagram of the management page of the time-based agricultural survey is shown in FIG. Figure 5 , select the seasonal agricultural survey on the management page and then select the survey task. In the survey task interface, click the Add button to enter the Create Task interface. In the task interface, select the verification season and verification crop, and upload the survey task package to create the seasonal agricultural survey task. You can choose whether to create a flight mission based on the actual needs of the survey task. In the management module, the administrator assigns the seasonal agricultural survey task to the survey module on the management page. The administrator can create a variety of different roles according to actual needs, such as department administrators, drone pilots, and investigators. Different roles are given different permissions. After selecting the corresponding survey area according to the permissions, the seasonal agricultural survey task is associated with the investigator, that is, the seasonal agricultural survey task is assigned to the survey module.

[0038] The survey module receives the reported data after the agricultural survey task is completed, and approves the reported data. After approval, the reported data is statistically analyzed to generate a ledger, and the area distribution of crops is obtained based on the ledger. Based on the area distribution of crops, a subsidy announcement is created; after the agricultural survey task is completed, the survey module uploads the reported data to the management module, and the reported data includes at least the plot area, crop variety, sowing time, and ownership information. The ownership information includes at least the district, county, city, village, household head, and village group; after receiving the reported data, the management module performs a completeness check on the reported data. When the reported data is complete, the management module performs a completeness check on the reported data based on the historical reported data obtained. The reported data is evaluated to determine whether the reported data is reasonable. When the reported data is reasonable, the reported data is approved according to the preset approval process. Specifically, after the agricultural survey task is completed in the survey module, the reported data is uploaded to the management module. In the management module, first, a preliminary review of the reported data is conducted. Specifically, the administrators of each regional department use the missing plot inspection function on the inspection and reporting page to check the completeness of the reported data, and use the statistical analysis function to evaluate the rationality of the reporting based on historical reported data. If there is a problem, it is fed back to the survey module for further verification through the survey module. For the schematic diagram of the inspection and reporting page, please refer to Figure 6 ,like Figure 6As shown, the detection and reporting page includes statistical analysis functions and missing land inspection functions; secondly, after the preliminary review is passed, that is, when the reported data is reasonable, in the management module, the administrator submits the agricultural survey task for approval on the desktop, and the current agricultural survey task will stop reporting and modification. The user responsible for approval selects the task on the reporting and approval page, and can approve the task according to the preset approval process. If it is unqualified, the modification will be rejected, and if it is qualified, it will be approved. While simplifying the operation, it ensures the security and compliance of the task process, effectively improves the efficiency and transparency of task management, and ensures the standardization of data processing and the rigor of approval; after approval, the reported data will be statistically analyzed. For a schematic diagram of the data summary analysis page, please refer to Figure 7 ,like Figure 7 As shown, the area of ​​crop survey results each year is counted, such as the crop area of ​​each village in a certain area in 2024, such as the area of ​​crops such as corn, peanuts, rapeseed and rice in the village; comparative analysis of crop area change trends over the years, such as the area trends of corn, late rice, peanuts, rapeseed and soybeans in 2018, 2020, 2022 and 2024. At the same time, the detailed reported information of a crop in a certain year can be viewed, and summary analysis can be performed by multi-condition screening; the reported data is statistically integrated to generate a ledger, which intuitively displays the ledger reporting status and area distribution of each crop in the current agricultural survey task. The ledger situation can be displayed in the form of a bar chart or table. According to the area distribution of each crop, the basic information of each crop is automatically filled in, including the plot area and ownership information of the crop. Subsidy announcements are created based on the plot area and ownership information of the crop, which greatly simplifies the operation process and improves the efficiency of the announcement work, enabling agricultural management departments to quickly generate and publish subsidy announcements to ensure that information is transparent, accurate and timely communicated to relevant personnel.

[0039] In some embodiments of the present invention, in step S402, a seasonal agricultural survey task is received from the management module, and the area to be surveyed and the crops to be surveyed are determined based on the seasonal agricultural survey task. In the survey module, the investigator enters the user name and password to log in to the mobile platform, clicks on seasonal agricultural survey, and enters the task selection interface. The investigator can only see the assigned tasks and survey areas, that is, can view the area to be surveyed and the crops to be surveyed. Click to enter the reporting interface. After the investigator enters the reporting interface, the default mode is viewing mode. In this mode, all information is for reading only and cannot be edited. This design effectively avoids data errors caused by misoperation.

[0040] Data collection for the survey area and crops to be surveyed can be carried out through field surveys. That is, the precise positioning function of mobile devices can be used to obtain the investigator's location in real time, and to take photos of the plots and crops in the current survey area. Photo watermarks are automatically generated after taking photos to ensure the accuracy and authenticity of the information. UAV technology can also be used for efficient data collection. After receiving the flight mission issued by the management module, the investigator connects to the drone device and enters the drone flight collection interface. For a schematic diagram of the drone flight collection page, please refer to Figure 8 ,like Figure 8 As shown, after selecting the original flight area in the list on the left, click Route Planning to automatically generate a route. The setting area on the left can customize the drone flight parameters. Click Start Flight and the drone will automatically complete the flight collection. You can also customize the flight area by creating a route and plan the route for flight. After the collection task is completed, the investigator can directly submit the collected pictures online. The submitted pictures will be automatically spliced ​​and aligned to generate high-quality images. These images can be loaded in real time during the survey and reporting process and superimposed with the plot data as an important basis for crop reporting. By summarizing and analyzing the historical flight records, collected drone photos, flight missions and other data of the survey module, a comprehensive data display is provided. These data are intuitively displayed through visual methods such as maps and charts, so that the management module can easily view the execution status of the flight mission and the collection effect, further optimize the survey and collection process, and improve the efficiency and accuracy of data analysis. After obtaining the collected data through field reporting or drone collection, the collected data is reported to the plot and crop reporting page. For a schematic diagram of the plot and crop reporting page, please refer to Figure 9 , through the editing mode, data can be reported on the reporting page. You can select a plot to report, or you can select multiple plots for unified reporting. Not only can you report core information such as crop varieties, but you can also customize the reporting type, such as the name of the head of household, the name of the operator, the village group, notes and other information; after filling in the report, click Save to synchronize the current reported data information in real time; by clearing the selected status, you can clear the selected status of all plots to prevent incorrect reporting; during the survey, when the on-site investigator finds that the surveyed plot has changed during the actual survey, the plot can be directly split or merged for correction, and the corrected data can be saved in real time; during the data reporting process, the investigator can use the attribute filtering function to separately filter and view the plots that have been surveyed and reported. At the same time, you can also directly use the missing plot detection to query the unreported plots in the current area, and you can also use the total plot area function to view the brief crop area summary information of the current reporting area. After the reporting is completed, the reported data is obtained and uploaded to the management module.

[0041] After completing the agricultural survey task through the survey module, the ledger is obtained by filling in the data, and a subsidy announcement is created based on the area distribution and ownership information of the crops. For a schematic diagram of the subsidy announcement page, please refer to Figure 10 ,like Figure 10 As shown, the subsidy announcement for potatoes in 2023 and the subsidy announcement for watermelon, corn and spring corn in 2024 are shown.

[0042] To sum up, the instant agricultural intelligent survey method provided by the present invention creates an instant agricultural survey task based on the management module, assigns the instant agricultural survey task to the survey module, receives the reported data after the survey module completes the instant agricultural survey task, generates a ledger based on the reported data, and creates a subsidy announcement based on the ledger; receives the instant agricultural survey task based on the survey module, determines the area to be surveyed and the crops to be surveyed based on the instant agricultural survey task, collects data for the area to be surveyed and the crops to be surveyed, obtains reported data based on the collected data, and uploads the reported data to the management module, thereby improving work efficiency.

[0043] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by any technician familiar with this technical field within the technical scope disclosed by the present invention should be covered by the scope of protection of the present invention.

Claims

1. A smart agricultural survey system, characterized in that: Including management module and investigation module; The management module is used to create a seasonal agricultural survey task, assign the seasonal agricultural survey task to the survey module, receive the reported data after the survey module completes the seasonal agricultural survey task, generate a ledger based on the reported data, and create a subsidy announcement based on the ledger; The survey module is used to receive the seasonal agricultural survey task, determine the area to be surveyed and the crops to be surveyed based on the seasonal agricultural survey task, collect data on the area to be surveyed and the crops to be surveyed, obtain reporting data based on the collected data, and upload the reporting data to the management module.

2. The agricultural intelligent survey system according to claim 1, characterized in that: The management module includes a task allocation unit; The task allocation unit is used to create a seasonal agricultural survey task and allocate the seasonal agricultural survey task to a survey module. The seasonal agricultural survey task at least includes a reporting task and a flight task.

3. The agricultural intelligent survey system according to claim 1, characterized in that: The management module also includes an audit unit, a ledger reporting unit, and a subsidy creation unit; The review unit is used to receive the reported data after the survey module completes the agricultural survey task, and review the reported data, wherein the reported data at least includes the plot area, crop variety, sowing time, and ownership information; The ledger reporting unit is used to obtain the reported data after review, generate a ledger based on the reported data, and report the ledger to show the ledger reporting status and area distribution of each crop in the agricultural survey task; The subsidy creation unit is used to create a subsidy announcement based on the area distribution of each crop.

4. The agricultural intelligent survey system according to claim 1, characterized in that: The management module also includes a flight mission management unit; The flight mission management unit is used to create a flight mission, send the flight mission to the investigation module, receive the flight data after the investigation module completes the flight mission, and display the flight data in a visual manner, wherein the flight data includes historical flight records and collected drone photos.

5. The agricultural intelligent survey system according to claim 1, characterized in that: The survey module includes a data collection unit, a data filling unit, and a data reporting unit; The data collection unit is used to receive the agricultural survey task issued by the management module, determine the area to be surveyed and the crops to be surveyed based on the agricultural survey task, and collect data on the area to be surveyed and the crops to be surveyed; The data reporting unit is used to report the collected data to the agricultural survey task to obtain the reported data; The data reporting unit is used to upload the reported data to the management module.

6. The agricultural intelligent survey system according to claim 5, characterized in that: The survey module also includes a flight mission execution unit; The flight mission execution unit is used to receive the flight mission issued by the management module, and call the drone to collect data on the area to be surveyed and the crops to be surveyed based on the flight mission.

7. The agricultural intelligent survey system according to claim 5, characterized in that: The survey module also includes a land parcel correction unit; The land parcel correction unit is used to correct the changed land parcel when the land parcel in the area to be investigated changes.

8. The agricultural intelligent survey system according to claim 5, characterized in that: The investigation module further includes an inspection unit; The checking unit is used to screen the plots in the area to be investigated, determine the unreported plots in the area to be investigated, and query the unreported plots.

9. The agricultural intelligent survey system according to claim 5, characterized in that: The survey module also includes a crop area summary unit; The crop area summary unit is used to obtain the area distribution of the crops to be surveyed in the area to be surveyed, summarize the area distribution of each crop to be surveyed, and obtain the total area of ​​each crop to be surveyed in the area to be surveyed.

10. A method for intelligent agricultural survey, characterized in that: The method is implemented by the smart agricultural survey system according to any one of claims 1 to 9, comprising: Creating a seasonal agricultural survey task based on the management module, assigning the seasonal agricultural survey task to the survey module, receiving the reported data after the survey module completes the seasonal agricultural survey task, generating a ledger based on the reported data, and creating a subsidy announcement based on the ledger; The survey module receives the agricultural survey task, determines the area to be surveyed and the crops to be surveyed based on the agricultural survey task, collects data on the area to be surveyed and the crops to be surveyed, obtains reporting data based on the collected data, and uploads the reporting data to the management module.

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