Cultivated land data management system and method based on land governance

Abstract

The invention belongs to the technical field of cultivated land treatment, and particularly relates to a cultivated land data management system and method based on land treatment. By collecting and analyzing cultivated land data, the management efficiency and the utilization rate of land resources are improved, small-area land parcels can be integrated through accurate land parcel division and real-time monitoring, the management difficulty can be reduced, problems in land use can be found in time, corresponding treatment measures can be taken, and in addition, according to the use state of the land parcels, the management efficiency and the utilization rate of the land resources can be improved. According to the method, the appropriate governance strategy is automatically selected, and the corresponding governance strategy can be quickly matched no matter in response to a long-term continuous abnormal state or a short-term instantaneous abnormal state, so that optimal configuration and sustainable development of land resources are realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of farmland management, and in particular relates to a farmland data management system and method based on land management. Background Art

[0002] With the increasing complexity of cultivated land data management, the efficiency and accuracy of cultivated land data management have become urgent issues to be addressed. Traditional management methods rely on manual measurement and recording, which is not only time-consuming and labor-intensive, but also prone to errors. With the development of information technology, automated and intelligent management methods have gradually become mainstream. Therefore, realizing the automation and intelligence of cultivated land data management is of great significance to improving management efficiency and accuracy.

[0003] However, the existing automated management methods still have some shortcomings, such as insufficiently detailed division of plots, a large number of small plots, and increased difficulty in monitoring, which makes the process of data collection and integration complicated and difficult to achieve precise management, which will undoubtedly increase the risk of data errors and omissions. Correspondingly, the efficiency and accuracy of farmland management will be reduced, and it will be difficult to detect and deal with abnormal plots in a timely manner. Therefore, the present invention proposes a farmland data management method based on land management to solve the above problems. Summary of the invention

[0004] The purpose of the present invention is to provide a farmland data management system and method based on land management, which can realize the refined management of farmland data, improve management efficiency and accuracy, timely discover and handle abnormal plots, and thus optimize the utilization of farmland resources.

[0005] The technical solution adopted by the present invention is as follows: A method for managing cultivated land data based on land management, comprising: Acquire geographic information data of cultivated land, wherein the geographic information data of cultivated land includes boundary parameters, area parameters and soil parameters of the cultivated land; Dividing the land into plots according to the geographic information data of the cultivated land, generating a plot information database, and adding a number to each plot; Real-time monitoring of crop planting information in each of the plots, and outputting plot utilization rates based on the crop planting information; Determining the use status of the land parcel according to the land parcel utilization rate, wherein the use status includes a normal state and an abnormal state; The normal state indicates that the land parcel is fully utilized, and the land parcel in the normal state is continuously monitored; The abnormal state indicates that the land is not fully utilized, and an alarm signal is simultaneously issued, and a corresponding land management strategy is matched.

[0006] In a preferred solution, after the geographic information data of the cultivated land is collected, preprocessing is performed simultaneously, and the preprocessing steps include: Acquire geographic information data of cultivated land, and clean the geographic information data of the cultivated land to remove invalid and erroneous information; The cleaned geographic information data of the cultivated land is standardized, and the formats of the geographic information data of all cultivated land are counted and saved in a preset database.

[0007] In a preferred solution, the step of dividing the land into plots according to the geographic information data of the cultivated land and generating a land plot information database comprises: Extracting boundary parameters of the cultivated land from the geographic information data of the cultivated land, wherein the boundary parameters include edge coordinates and edge curves of the cultivated land, wherein there are multiple edge curves and they are closed shapes; Identify the distances between adjacent closed edge curves and record them as classification condition parameters; Obtaining a classification threshold, and comparing the classification condition parameter with the classification threshold; When the classification condition parameter is greater than the classification threshold, it indicates that the adjacent closed edge curves are too far apart, and the cultivated land area under the adjacent closed edge curves is divided into independent plots; When the classification condition parameter is less than or equal to the classification threshold, it indicates that adjacent closed edge curves are too close to each other, and the cultivated land areas under the adjacent closed edge curves are merged into independent plots.

[0008] In a preferred embodiment, the step of outputting the land utilization rate according to the crop planting information includes: Obtaining the planting area of ​​the crop and recording it as the first condition parameter; Obtaining area parameters of each of the plots and recording them as second condition parameters; A calculation function is obtained, and the first condition parameter and the second condition parameter are input into the calculation function, and an output result of the calculation function is recorded as the land plot utilization rate.

[0009] In a preferred solution, the step of determining the usage status of the land plot according to the land plot utilization rate includes: Obtaining the land utilization rate of each of the land plots and recording it as an evaluation condition parameter; Obtaining an evaluation threshold, and comparing the evaluation condition parameter with the evaluation threshold; When the evaluation condition parameter is greater than the evaluation threshold, it indicates that the land parcel is fully utilized, and the use status of the land parcel is recorded as normal; When the evaluation condition parameter is less than or equal to the evaluation threshold, it indicates that the land parcel is not fully utilized, and the use status of the land parcel is recorded as an abnormal status.

[0010] In a preferred solution, in the normal state, a monitoring period is constructed, and a plurality of parallel nodes are set within the monitoring period; Collecting the land use area under each of the parallel nodes and recording it as a sample condition parameter; Obtaining an evaluation function, and inputting the sample condition parameters into the evaluation function to obtain the area change trend value of each of the plots; Obtain the inspection duration, and calculate the predicted usage area of ​​the plot based on the area change trend value and the inspection duration, and use the area based on the predicted usage area.

[0011] In a preferred solution, in the abnormal state, a bidirectional shift is performed with the abnormal state determination node as an intermediate node to obtain a verification period; A plurality of verification nodes are set within the verification period, and the land use area under the verification nodes is collected and recorded as a verification condition parameter; Calculating the check difference between adjacent check nodes according to the check condition parameter; Obtaining a verification threshold, and comparing the verification threshold with the verification difference; If the verification difference is greater than the verification threshold, the abnormal state of the plot is recorded as an instantaneous abnormal state, otherwise, the abnormal state of the plot is recorded as a continuous abnormal state.

[0012] In a preferred embodiment, the land management strategy includes an emergency management strategy and a long-term management strategy; When the abnormal state is a continuous abnormal state, a long-term governance strategy is matched; When the category of the abnormal state is a transient abnormal state, an emergency management strategy is matched.

[0013] The present invention also provides a farmland data management system based on land management, using the above-mentioned farmland data management method based on land management, comprising: A data acquisition module, wherein the data acquisition module is used to obtain geographic information data of the cultivated land, wherein the geographic information data of the cultivated land includes boundary parameters, area parameters and soil parameters of the cultivated land; A plot division module, the plot division module is used to divide the plots according to the geographic information data of the cultivated land, generate a plot information database, and add a number to each plot; A monitoring module, the monitoring module is used to monitor the crop planting information in each of the plots in real time, and output the plot utilization rate according to the crop planting information; A status evaluation module, the status evaluation module is used to determine the usage status of the land block according to the utilization rate of the land block, wherein the usage status includes a normal state and an abnormal state; A first intervention module, the first intervention module is used to indicate that the land parcel is fully utilized in the normal state and to continuously monitor the land parcel in the normal state; The second intervention module is used to indicate that the land is not fully utilized under the abnormal state, and to simultaneously send out an alarm signal and match a corresponding land management strategy.

[0014] And, an electronic device, the electronic device comprising: at least one processor; and a memory communicatively coupled to the at least one processor; Among them, the memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the above-mentioned cultivated land data management method based on land management.

[0015] The technical effects achieved by the present invention are: The present invention improves the management efficiency and utilization rate of land resources by collecting and analyzing cultivated land data. Through precise plot division and real-time monitoring, it can integrate small plots, reduce management difficulty, timely discover problems in land use, and take corresponding governance measures. In addition, the present invention can also automatically select appropriate governance strategies according to the use status of the plot. Whether it is to cope with long-term continuous abnormal conditions or short-term transient abnormal conditions, it can quickly match the corresponding governance strategy, thereby achieving optimal allocation of land resources and sustainable development. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic flow chart of the method of the present invention; Figure 2 It is a schematic diagram of the system module of the present invention; Figure 3 It is a schematic diagram of the structure of an electronic device of the present invention. DETAILED DESCRIPTION

[0017] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0018] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0019] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure or characteristic that may be included in at least one implementation of the present invention. The phrase "in a preferred embodiment" that appears in different places in this specification does not refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0020] Improving the utilization rate of cultivated land can effectively promote the sustainable development of agricultural production. By implementing the cultivated land data management system of the present invention, refined management of cultivated land resources can be achieved, thereby improving land use efficiency and reducing resource waste. In addition, by real-time monitoring and evaluating the use status of land plots, problems in land use, such as land degradation and unreasonable crop planting, can be discovered and solved in a timely manner, and corresponding governance measures can be taken to ensure the stability and sustainability of agricultural production. Ultimately, the implementation of the present invention helps to achieve the rational allocation and efficient utilization of land resources, and provide strong technical support for agricultural modernization.

[0021] See also Figure 1 As shown, the present invention provides a method for managing cultivated land data based on land management, comprising: S1. Acquire geographic information data of cultivated land, where the geographic information data of cultivated land includes boundary parameters, area parameters and soil parameters of the cultivated land; In step S1, when executing cultivated land management, the geographic information data of cultivated land is first obtained. The geographic information data of cultivated land covers the boundary parameters, area parameters and soil parameters of cultivated land. The boundary parameters refer to the geographic boundaries of cultivated land, including the latitude and longitude coordinates and shape information of cultivated land. The area parameters involve the total area of ​​cultivated land and the area of ​​each sub-plot. The soil parameters include important indicators such as soil type, fertility level, pH value, etc. After the geographic information data of cultivated land is collected, preprocessing is performed synchronously. The preprocessing steps include: Obtain geographic information data of cultivated land, clean the geographic information data of cultivated land, and remove invalid and erroneous information; Standardize the cleaned geographic information data of the cultivated land, count the formats of the geographic information data of all cultivated land, and save them in a preset database; Specifically, after completing the collection of geographic information data of cultivated land, data preprocessing is required. First, the collected geographic information data of cultivated land needs to be obtained, and the geographic information data of cultivated land needs to be thoroughly cleaned synchronously. In this process, the integrity and accuracy of the data will be carefully checked, and invalid, erroneous or incomplete data information will be eliminated. In this way, the accuracy of subsequent analysis and processing can be ensured, and erroneous conclusions caused by data quality problems can be avoided. After the cleaning work is completed, the data will be standardized. At this stage, the cleaned geographic information data of cultivated land will be further sorted and formatted to ensure that the format of all data is unified, and to ensure the compatibility and consistency of the geographic information data of cultivated land in the subsequent processing and analysis process. Finally, corresponding adjustments and preservation are made according to the preset database requirements.

[0022] S2. Divide the land into plots according to the geographic information data of the cultivated land, generate a plot information database, and add a number to each plot; In step S2, after the geographic information data is collected, the plots will be divided according to the acquired cultivated land geographic information data, the purpose of which is to integrate similar and adjacent small plots for unified management, and after the plot division is completed, a corresponding plot information database will be generated. In the plot information database, each plot will be assigned a unique number for subsequent management and query, wherein the steps of dividing the plots according to the cultivated land geographic information data and generating the plot information database include: Extracting boundary parameters of the cultivated land from the geographic information data of the cultivated land, the boundary parameters including edge coordinates and edge curves of the cultivated land, wherein there are multiple edge curves and they are closed shapes; Identify the distances between adjacent closed edge curves and record them as classification condition parameters; Obtaining a classification threshold, and comparing the classification condition parameter with the classification threshold; When the classification condition parameter is greater than the classification threshold, it indicates that the adjacent closed edge curves are too far apart, and the cultivated land areas under the adjacent closed edge curves are divided into independent plots; When the classification condition parameter is less than or equal to the classification threshold, it indicates that the adjacent closed edge curves are too close to each other, and the cultivated land areas under the adjacent closed edge curves are merged into independent plots; Specifically, when dividing the cultivated land into plots, first, it is necessary to extract the boundary parameters of the cultivated land from the geographic information data of the cultivated land. The boundary parameters include the edge coordinates and edge curves of the cultivated land. It is worth noting that each sub-plot corresponds to an edge curve, and its corresponding edge curve is usually a closed shape, forming a continuous boundary. Then, it is necessary to identify and record the distance between adjacent closed edge curves (based on this to determine the distance between adjacent sub-plots), and record it as a classification condition parameter. Then, it is necessary to obtain a preset classification threshold. The classification threshold will be used as a standard for judging whether the distance between adjacent closed edge curves is reasonable. By comparing the classification condition parameters with the classification threshold The calibration results of each cultivated land area (sub-plot) can be determined by comparing the classification condition parameter (i.e., the distance between adjacent closed edge curves) greater than the classification threshold, indicating that the adjacent closed edge curves are too far apart. In this case, the cultivated land areas under the adjacent closed edge curves are divided into independent plots to ensure that the boundaries of each plot are clear and easy to manage. On the contrary, if the classification condition parameter is less than or equal to the classification threshold, it indicates that the adjacent closed edge curves are too close. In this case, the cultivated land areas under the adjacent closed edge curves will be merged into an independent plot to avoid the plots being too fragmented, thereby improving management efficiency and the rationality of land use.

[0023] S3, real-time monitoring of crop planting information in each plot, and output of plot utilization rate according to the crop planting information; In step S3, after the plot division is completed, the crop planting information in each plot will be monitored in real time, and the utilization rate of each plot will be determined based on this. Specifically, the crop planting area can be collected through sensors installed in the field and remote sensing technology, and the utilization rate of each plot can be calculated based on the crop planting area, that is, the ratio of the actual planting area to the total area of ​​the plot. The step of outputting the plot utilization rate based on the crop planting information includes: Obtain the planting area of ​​the crop and record it as the first condition parameter; Obtain the area parameters of each plot and record them as the second condition parameter; Obtaining a calculation function, inputting the first condition parameter and the second condition parameter into the calculation function, and recording the output result of the calculation function as the land plot utilization rate; Specifically, in order to calculate the land utilization rate based on crop planting information, first, it is necessary to obtain the planting area related to crop planting and record it as the first condition parameter. Secondly, it is necessary to collect the area parameters of each plot and record them as the second condition parameter. Then, the corresponding measurement function is introduced ( , where Indicates the number of plots, Indicates the land utilization rate, represents the first condition parameter, Represents the second condition parameter), the calculation function will be used to process the first condition parameter and the second condition parameter collected before, and the first condition parameter and the second condition parameter are input into the calculation function to obtain the required land utilization rate, wherein the first condition parameter and the second condition parameter are not fixed, for example, the loss of cultivated land will cause the second condition parameter to decrease, while the dumping and death of crops will cause the first condition parameter to decrease, thus affecting the calculation result of the land utilization rate. In order to ensure the real-time and accuracy of the data, the data of the crop planting area needs to be updated in real time, so as to adjust and optimize the utilization rate of the land in a timely manner; S4. judging the use status of the land plot according to the land plot utilization rate, wherein the use status includes a normal state and an abnormal state; In step S4, after the plot utilization rate is output, the usage status of the divided plots will be determined based on the calculated plot utilization rate. The usage status is divided into two types: normal status and abnormal status. Different management measures will be taken for different usage statuses. The step of determining the usage status of a plot based on the plot utilization rate includes: Obtain the land utilization rate of each land parcel and record it as an evaluation condition parameter; Obtaining an evaluation threshold, and comparing the evaluation condition parameter with the evaluation threshold; When the evaluation condition parameter is greater than the evaluation threshold, it indicates that the land parcel is fully utilized, and the use status of the land parcel is recorded as normal; When the evaluation condition parameter is less than or equal to the evaluation threshold, it indicates that the land parcel is not fully utilized, and the use status of the land parcel is recorded as abnormal; Specifically, in order to accurately determine the use status of a plot, it is first necessary to obtain the plot utilization rate of each plot and record it as an evaluation condition parameter, and then introduce a pre-set evaluation threshold value, which will be used as a standard for determining the use status of the plot, and then compare the obtained evaluation condition parameter with the set evaluation threshold value accordingly. Specifically, if the evaluation condition parameter shows that the utilization rate of the plot is higher than the evaluation threshold value, it means that the plot has been fully utilized. In this case, the use status of the plot is recorded as a normal state, indicating that the use of the plot is in line with expectations. On the contrary, if the evaluation condition parameter shows that the utilization rate of the plot is less than or equal to the evaluation threshold value, it means that the plot has not been fully utilized. In this case, the use status of the plot is recorded as an abnormal state, and the cause of the abnormal state needs to be further determined so that management personnel can intervene. S5. Under normal conditions, it indicates that the land is fully utilized and the land under normal conditions is continuously monitored; In step S5, when the use status of the plot is normal, the crops in the plot will be continuously monitored in real time, so as to understand the crop growth status of the plot in the normal state in real time. Secondly, under the normal state, a monitoring period is constructed, and multiple parallel nodes are set in the monitoring period; Collect the land use area under each parallel node and record it as the sample condition parameter; Obtain an evaluation function, and input the sample condition parameters into the evaluation function to obtain the area change trend value of each plot; Obtain the inspection time, and calculate the predicted use area of ​​the plot based on the area change trend value and the inspection time, and use the predicted use area; Under normal working conditions, we first need to build a specific monitoring period. The length of the monitoring period depends on the monitoring needs and objectives. After determining the monitoring period, we need to set up multiple parallel nodes within the monitoring period to facilitate more detailed observation and data recording. Under the parallel nodes, we need to collect the usage area of ​​each relevant plot and save it as a sample condition parameter. The sample condition parameter is an important basis for evaluating the usage of the plot and will be used for subsequent analysis and calculation. Then we need to obtain the preset evaluation function ( , where Indicates the area change trend value, Indicates the length of the monitoring period, represents the number of parallel nodes, and Represents the sample condition parameters under adjacent parallel nodes), and then takes the sample condition parameters as input, and through corresponding calculations, the area change trend value of each plot can be output, so as to reflect the change trend of the use area of ​​each plot during the monitoring period, and then based on the area change trend value, the use area of ​​the plot can be predicted. First, the inspection time, that is, the length of time in the future, is required. The inspection time refers to the time period after the monitoring period for performing the prediction calculation. According to the area change trend value and the inspection time, the predicted use area of ​​each plot in the future can be calculated. The calculation formula for the predicted use area is: , where It indicates the predicted usage area. Indicates the actual use area of ​​the plot collected last time. Indicates the inspection time. The predicted usage area is a reasonable guess based on current data and trends, which can help managers better understand the future usage of the land and provide a basis for decision-making; S6: In an abnormal state, it indicates that the land is not fully utilized, and an alarm signal is issued simultaneously, and the corresponding land management strategy is matched; In step S6, the abnormal state means that the land is not fully utilized, and there may be improper planting, soil degradation or other problems. Once the abnormal state is detected, an alarm signal will be immediately issued to remind the management personnel to take corresponding measures. At the same time, the corresponding land management strategy will be matched, such as adjusting the planting structure, improving the soil, adding irrigation facilities, etc., to improve the use of the land and ensure the sustainable use of land resources. In the abnormal state, the judgment node of the abnormal state is used as the intermediate node for bidirectional offset to obtain the verification period; Multiple verification nodes are set within the verification period, and the land use area under the verification nodes is collected and recorded as verification condition parameters; Calculate the check difference between adjacent check nodes according to the check condition parameters; Obtaining a calibration threshold, and comparing the calibration threshold with the calibration difference; If the verification difference is greater than the verification threshold, the abnormal state of the plot is recorded as an instantaneous abnormal state, otherwise, the abnormal state of the plot is recorded as a continuous abnormal state; Specifically, in an abnormal state, it is necessary to use the abnormal state judgment node as an intermediate node to perform a bidirectional offset operation to determine a specific verification period. During this verification period, verification nodes will be set at multiple locations. The verification nodes will be used for further inspection and verification. For each verification node, the usage area data of the corresponding plot will be collected and recorded as a verification condition parameter. The verification condition parameter will then be used to calculate the verification difference between adjacent verification nodes. The verification difference refers to the change in the usage area of ​​the plot between two adjacent verification nodes, so as to facilitate the subsequent evaluation of the fluctuation of the usage of the plot. In order to further determine whether these changes are Whether it is within the normal range, a pre-set verification threshold needs to be introduced. The verification threshold is a key reference standard used to determine whether the change in the land use area exceeds the acceptable range. The calculated verification difference is compared with the verification threshold to determine the category of the abnormal state of the land. If the calculation result shows that the verification difference is greater than the verification threshold, it means that the change in the land use area exceeds the normal range in a short period of time. This situation will be recorded as a transient abnormal state. On the contrary, if the verification difference is less than or equal to the verification threshold, this indicates that the land use area gradually exceeds the normal range. At this time, this situation will be recorded as a continuous abnormal state for subsequent management and processing.

[0024] In a preferred embodiment, the land management strategy includes an emergency management strategy and a long-term management strategy; When the abnormal state is classified as a continuous abnormal state, a long-term governance strategy is matched; When the abnormal state is classified as an instantaneous abnormal state, an emergency management strategy is matched.

[0025] In this implementation, the land governance strategy covers emergency governance strategies and long-term governance strategies. Emergency governance strategies usually include immediate intervention measures, such as emergency repair or reconstruction, etc., which aim to quickly stabilize land use and prevent further abnormal fluctuations. The corresponding abnormal category is instantaneous abnormal state. There are many reasons for the occurrence of instantaneous abnormal state, such as sudden natural disasters, human sabotage, etc. These situations require rapid response to avoid greater losses. The long-term governance strategy focuses more on solving fundamental problems, such as continuous improvement of soil quality, optimization and adjustment of planting structure, etc. The corresponding abnormal category is continuous abnormal state. The continuous abnormal state indicates that there are continuous problems in the use of the land, such as long-term soil degradation or improper management, and a systematic solution is needed to achieve long-term sustainable use of land resources. The long-term governance strategy may include but is not limited to: adjusting crop rotation plans, implementing soil improvement measures, optimizing irrigation systems, introducing sustainable agricultural technologies, etc. Through accurate matching of the abnormal categories of abnormal states, corresponding land governance measures can be more effectively formulated and implemented, thereby improving the utilization efficiency and sustainability of land resources.

[0026] In addition to the above-mentioned governance strategies, when managing cultivated land, the changes in cultivated land should also be managed. There will also be increases. By dividing the change areas of cultivated land areas into increase areas and decrease areas, when the cultivated land areas change, the changes in regional cultivated land areas are monitored. Since increase and decrease areas may exist in one cycle, and the change cycles of increase and decrease areas may be inconsistent, when constructing the monitoring cycle, periodic monitoring is carried out within one cycle on the premise that the area of ​​the increase area is greater than the area of ​​the decrease area, and the increase trend value is greater than the decrease trend value. In the case of increase, When the area of ​​a region is smaller than the area of ​​the reduced region, or the increasing trend value is smaller than the decreasing trend value, an upper limit of the reduced region is set to avoid excessive occupation during the change of cultivated land. In addition, the parameters for the change of cultivated land, in addition to being obtained based on the area, also need to be compared with crop yields and historical crop yields, that is, to ensure the normal output of cultivated land under the premise of ensuring the occupancy rate of cultivated land. The purpose is to ensure that the reduced cultivated land is fertile land, while the newly added cultivated land may be returned to forest, industrial land or other cultivated land. The relative output of this type of land is limited, so it needs to be fully considered in combination with the change in area and the actual planting situation.

[0027] See also Figure 2 A cultivated land data management system based on land management, using the cultivated land data management method based on land management, comprises: A data acquisition module is used to obtain geographic information data of cultivated land, and the geographic information data of cultivated land includes boundary parameters, area parameters and soil parameters of cultivated land; The land parcel division module is used to divide the land parcels according to the geographic information data of the cultivated land, generate a land parcel information database, and add a number to each land parcel; Monitoring module, the monitoring module is used to monitor the crop planting information in each plot in real time, and output the plot utilization rate according to the crop planting information; A status evaluation module, which is used to determine the usage status of the land plot according to the utilization rate of the land plot, wherein the usage status includes a normal state and an abnormal state; The first intervention module is used to indicate that the land parcels are fully utilized under normal conditions and to continuously monitor the land parcels under normal conditions; The second intervention module is used to indicate that the land is not fully utilized under abnormal conditions, and to simultaneously send out an alarm signal and match the corresponding land management strategy.

[0028] As mentioned above, the management system includes a data acquisition module, a plot division module, a monitoring module, a status evaluation module, a first intervention module and a second intervention module. The main function of the data acquisition module is to obtain the geographic information data of the cultivated land. The geographic information data of the cultivated land includes the boundary parameters, area parameters and soil parameters of the cultivated land. Through precise measurement and collection, it can provide accurate basic information for the subsequent plot division and management. The plot division module divides the plots according to the collected geographic information data of the cultivated land, and can generate a detailed plot information database, which contains the specific information of each plot. In order to facilitate management and query, each plot will be assigned a unique number. The monitoring module is responsible for real-time monitoring of the crop planting conditions in each plot. By collecting and analyzing this information, the monitoring module can calculate the utilization rate of each plot. , and use these data for further analysis and decision support. The status evaluation module determines the usage status of the plot based on the plot utilization rate. The usage status is mainly divided into two types: normal status and abnormal status. The normal status means that the plot is fully utilized, while the abnormal status indicates that the plot is not fully utilized. The first intervention module plays a role when the plot is in a normal state. Its main task is to show that the plot is fully utilized, and to continuously monitor these plots in a normal state, and promptly discover any problems that may affect the utilization rate of the plot. The second intervention module plays a role when the plot is in an abnormal state and simultaneously sends out an alarm signal. In addition, the second intervention module will also match the corresponding land management strategies to solve the problem of underutilized plots. These strategies may include adjusting planting plans, improving soil quality, or taking other necessary management measures.

[0029] See also Figure 3 , an electronic device, the electronic device comprising: at least one processor; and a memory communicatively coupled to the at least one processor; Among them, the memory stores a computer program that can be executed by at least one processor, and the computer program is executed by at least one processor so that the at least one processor can execute the above-mentioned cultivated land data management method based on land management.

[0030] The processor of the above electronic device can be any type of general-purpose processor or special-purpose processor, such as a central processing unit (CPU), a graphics processing unit (GPU), a digital signal processor (DSP) or a microcontroller. The memory may include but is not limited to a random access memory (RAM), a read-only memory (ROM), a flash memory, a hard disk drive, a solid-state drive or other forms of non-volatile memory. The computer program can be programmed to perform the functions of data acquisition, plot division, monitoring, status evaluation and intervention modules. The electronic device may also include an operator, an input device and an output device. The operator can perform various data processing and computing tasks, the input device allows the user to interact with the electronic device and input necessary data or instructions, and the output device is used to display the processing results or provide feedback information to the user.

[0031] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the presence of other identical elements in the process, device, article or method including the element.

[0032] The above is only a preferred embodiment of the present invention. It should be noted that, for those skilled in the art, several improvements and modifications can be made without departing from the principles of the present invention, and these improvements and modifications should also be considered as the protection scope of the present invention. The structures, devices and operating methods not specifically described and explained in the present invention shall be implemented according to the conventional means in the art unless otherwise specified and limited.

Claims

1. A method for managing cultivated land data based on land management, characterized in that: include: Acquire geographic information data of cultivated land, wherein the geographic information data of cultivated land includes boundary parameters, area parameters and soil parameters of the cultivated land; Dividing the land into plots according to the geographic information data of the cultivated land, generating a plot information database, and adding a number to each plot; Real-time monitoring of crop planting information in each of the plots, and outputting plot utilization rates based on the crop planting information; Determining the use status of the land parcel according to the land parcel utilization rate, wherein the use status includes a normal state and an abnormal state; The normal state indicates that the land parcel is fully utilized, and the land parcel in the normal state is continuously monitored; The abnormal state indicates that the land is not fully utilized, and an alarm signal is simultaneously issued, and a corresponding land management strategy is matched.

2. The method for managing cultivated land data based on land management according to claim 1, characterized in that: After the geographic information data of the cultivated land is collected, preprocessing is performed simultaneously, and the preprocessing steps include: Acquire geographic information data of cultivated land, and clean the geographic information data of the cultivated land to remove invalid and erroneous information; The cleaned geographic information data of the cultivated land is standardized, and the formats of the geographic information data of all cultivated land are counted and saved in a preset database.

3. The method for managing cultivated land data based on land management according to claim 1, characterized in that: The step of dividing the land into plots according to the geographic information data of the cultivated land and generating a land plot information database comprises: Extracting boundary parameters of the cultivated land from the geographic information data of the cultivated land, wherein the boundary parameters include edge coordinates and edge curves of the cultivated land, wherein there are multiple edge curves and they are closed shapes; Identify the distances between adjacent closed edge curves and record them as classification condition parameters; Obtaining a classification threshold, and comparing the classification condition parameter with the classification threshold; When the classification condition parameter is greater than the classification threshold, it indicates that the adjacent closed edge curves are too far apart, and the cultivated land area under the adjacent closed edge curves is divided into independent plots; When the classification condition parameter is less than or equal to the classification threshold, it indicates that adjacent closed edge curves are too close to each other, and the cultivated land areas under the adjacent closed edge curves are merged into independent plots.

4. The method for managing cultivated land data based on land management according to claim 1, characterized in that: The step of outputting the land plot utilization rate according to the crop planting information comprises: Obtaining the planting area of ​​the crop and recording it as the first condition parameter; Obtaining area parameters of each of the plots and recording them as second condition parameters; A calculation function is obtained, and the first condition parameter and the second condition parameter are input into the calculation function, and an output result of the calculation function is recorded as the land plot utilization rate.

5. The method for managing cultivated land data based on land management according to claim 1, characterized in that: The step of determining the usage status of the plot according to the plot utilization rate comprises: Obtaining the land utilization rate of each of the land plots and recording it as an evaluation condition parameter; Obtaining an evaluation threshold, and comparing the evaluation condition parameter with the evaluation threshold; When the evaluation condition parameter is greater than the evaluation threshold, it indicates that the land parcel is fully utilized, and the use status of the land parcel is recorded as normal; When the evaluation condition parameter is less than or equal to the evaluation threshold, it indicates that the land parcel is not fully utilized, and the use status of the land parcel is recorded as an abnormal status.

6. The method for managing cultivated land data based on land management according to claim 1, characterized in that: In the normal state, a monitoring period is constructed, and a plurality of parallel nodes are set within the monitoring period; Collecting the land use area under each of the parallel nodes and recording it as a sample condition parameter; Obtaining an evaluation function, and inputting the sample condition parameters into the evaluation function to obtain the area change trend value of each of the plots; Obtain the inspection duration, and calculate the predicted usage area of ​​the plot based on the area change trend value and the inspection duration, and use the area based on the predicted usage area.

7. The method for managing cultivated land data based on land management according to claim 1, characterized in that: In the abnormal state, a bidirectional shift is performed with the abnormal state determination node as the intermediate node to obtain a verification period; A plurality of verification nodes are set within the verification period, and the land use area under the verification nodes is collected and recorded as a verification condition parameter; Calculating the check difference between adjacent check nodes according to the check condition parameter; Obtaining a verification threshold, and comparing the verification threshold with the verification difference; If the verification difference is greater than the verification threshold, the abnormal state of the plot is recorded as an instantaneous abnormal state, otherwise, the abnormal state of the plot is recorded as a continuous abnormal state.

8. The method for managing cultivated land data based on land management according to claim 7, characterized in that: The land management strategies include emergency management strategies and long-term management strategies; When the abnormal state is a continuous abnormal state, a long-term governance strategy is matched; When the category of the abnormal state is a transient abnormal state, an emergency management strategy is matched.

9. A cultivated land data management system based on land management, characterized by: The method for managing cultivated land data based on land management according to any one of claims 1 to 8 comprises: A data acquisition module, wherein the data acquisition module is used to obtain geographic information data of the cultivated land, wherein the geographic information data of the cultivated land includes boundary parameters, area parameters and soil parameters of the cultivated land; A plot division module, the plot division module is used to divide the plots according to the geographic information data of the cultivated land, generate a plot information database, and add a number to each plot; A monitoring module, the monitoring module is used to monitor the crop planting information in each of the plots in real time, and output the plot utilization rate according to the crop planting information; A status evaluation module, the status evaluation module is used to determine the usage status of the land block according to the utilization rate of the land block, wherein the usage status includes a normal state and an abnormal state; A first intervention module, the first intervention module is used to indicate that the land parcel is fully utilized in the normal state and to continuously monitor the land parcel in the normal state; The second intervention module is used to indicate that the land is not fully utilized under the abnormal state, and to simultaneously send out an alarm signal and match a corresponding land management strategy.

10. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively coupled to the at least one processor; In which, the memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the farmland data management method based on land management as described in any one of claims 1 to 8.

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