A cultivated land data management system and method based on land management

Abstract

The present invention belongs to the technical field of cultivated land management, and specifically relates to a cultivated land data management system and method based on land management. By collecting and analyzing cultivated land data, the invention improves the management efficiency and utilization rate of land resources. Through precise plot division and real-time monitoring, small plots can be integrated, the management difficulty can be reduced, problems in land use can be discovered in a timely manner, and corresponding treatment measures can be taken. In addition, the present invention can also automatically select appropriate treatment strategies according to the use status of plots. Whether dealing with long-term continuous abnormal states or short-term instantaneous abnormal states, corresponding treatment strategies can be quickly matched, so as to realize the optimal allocation and sustainable development of land resources.

Description

Technical Field

[0001] The present invention belongs to the technical field of cultivated land management, and particularly relates to a cultivated land 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 problems to be solved urgently. Traditional management methods rely on manual measurement and recording, which are not only time-consuming and laborious, but also prone to errors. With the development of information technology, automated and intelligent management methods have gradually become the mainstream. Therefore, realizing the automation and intelligence of cultivated land data management is of great significance for improving management efficiency and accuracy.

[0003] However, there are still some deficiencies in the existing automated management methods. For example, the plot division is not detailed enough, there are many small plots, the monitoring difficulty increases, and the process of data collection and integration becomes complicated, and it is difficult to achieve precise management. This will undoubtedly increase the risk of data errors and omissions. Correspondingly, it will also lead to a decrease in the efficiency and accuracy of cultivated land management, and it is difficult to detect and process abnormal plots in a timely manner. Therefore, the present invention proposes a cultivated land 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 cultivated land data management system and method based on land management, which can realize the refined management of cultivated land data, improve management efficiency and accuracy, and timely detect and process abnormal plots, so as to optimize the utilization of cultivated land resources.

[0005] The technical solutions adopted by the present invention are specifically as follows:

[0006] A cultivated land data management method based on land management, comprising:

[0007] Obtaining geographical information data of cultivated land, where the geographical information data of cultivated land includes boundary parameters, area parameters, and soil parameters of cultivated land;

[0008] Dividing plots according to the geographical information data of cultivated land, generating a plot information database, and adding numbers to each plot;

[0009] Real-time monitoring of crop planting information in each plot, and outputting the plot utilization rate according to the crop planting information;

[0010] Judging the usage status of the plot according to the plot utilization rate, where the usage status includes normal status and abnormal status;

[0011] The normal state indicates that the land parcel is fully utilized, and the land parcel in the normal state is continuously monitored;

[0012] 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.

[0013] In a preferred solution, after the geographic information data of the cultivated land is collected, preprocessing is performed simultaneously, and the preprocessing steps include:

[0014] Acquire geographic information data of cultivated land, and clean the geographic information data of the cultivated land to remove invalid and erroneous information;

[0015] 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.

[0016] 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:

[0017] 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;

[0018] Identify the distances between adjacent closed edge curves and record them as classification condition parameters;

[0019] Obtaining a classification threshold, and comparing the classification condition parameter with the classification threshold;

[0020] 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;

[0021] 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.

[0022] In a preferred embodiment, the step of outputting the land utilization rate according to the crop planting information includes:

[0023] Obtaining the planting area of ​​the crop and recording it as the first condition parameter;

[0024] Obtaining area parameters of each of the plots and recording them as second condition parameters;

[0025] Obtain a measurement function, input the first conditional parameter and the second conditional parameter into the measurement function, and record the output result of the measurement function as the plot utilization rate.

[0026] In a preferred embodiment, the step of determining the usage status of the plot based on the plot utilization rate includes:

[0027] Obtain the plot utilization rate of each plot and record it as an evaluation conditional parameter;

[0028] Obtain an evaluation threshold and compare the evaluation conditional parameter with the evaluation threshold;

[0029] When the evaluation conditional parameter is greater than the evaluation threshold, it indicates that the plot is fully utilized, and record the usage status of the plot as the normal status;

[0030] When the evaluation conditional parameter is less than or equal to the evaluation threshold, it indicates that the plot is not fully utilized, and record the usage status of the plot as the abnormal status.

[0031] In a preferred embodiment, in the normal status, construct a monitoring period and set multiple parallel nodes within the monitoring period;

[0032] Collect the plot usage areas under each parallel node and record them as sample conditional parameters;

[0033] Obtain an evaluation function, input the sample conditional parameters into the evaluation function, and obtain the area change trend values of each plot;

[0034] Obtain the inspection duration and calculate the predicted usage area of the plot based on the area change trend value and the inspection duration.

[0035] In a preferred embodiment, in the abnormal status, perform a two-way offset with the determination node of the abnormal status as the intermediate node to obtain a verification period;

[0036] Set multiple verification nodes within the verification period, collect the plot usage areas under the verification nodes, and record them as verification conditional parameters;

[0037] Calculate the verification difference between adjacent verification nodes based on the verification conditional parameters;

[0038] Obtain a verification threshold and compare the verification threshold with the verification difference;

[0039] If the verification difference is greater than the verification threshold, record the abnormal status of the plot as an instantaneous abnormal status, otherwise, record the abnormal status of the plot as a continuous abnormal status.

[0040] In a preferred embodiment, the land management strategy includes an emergency management strategy and a long-term management strategy;

[0041] When the category of the abnormal state is a continuous abnormal state, a long-term management strategy is matched;

[0042] When the category of the abnormal state is an instantaneous abnormal state, an emergency management strategy is matched.

[0043] The present invention also provides a cultivated land data management system based on land management, which uses the above-mentioned cultivated land data management method based on land management, and includes:

[0044] A data acquisition module, which is used to acquire the geographical information data of the cultivated land, and the geographical information data of the cultivated land includes the boundary parameters, area parameters and soil parameters of the cultivated land;

[0045] A plot division module, which is used to divide plots according to the geographical information data of the cultivated land, generate a plot information database, and add numbers to each plot;

[0046] A monitoring module, which 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;

[0047] A status evaluation module, which is used to judge the use status of the plot according to the plot utilization rate, wherein the use status includes a normal state and an abnormal state;

[0048] A first intervention module, which is used to indicate that the plot is fully utilized in the normal state, and continuously monitor the plot in the normal state;

[0049] A second intervention module, which is used to indicate that the plot is not fully utilized in the abnormal state, and simultaneously send out an alarm signal and match the corresponding land management strategy.

[0050] And, an electronic device, the electronic device includes:

[0051] At least one processor;

[0052] And a memory communicatively connected to the at least one processor;

[0053] Wherein, the memory stores a computer program executable 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.

[0054] The technical effects achieved by the present invention are:

[0055] By collecting and analyzing arable land data, the present invention improves the management efficiency and utilization rate of land resources. Through precise plot division and real-time monitoring, small plots can be integrated, the management difficulty can be reduced, problems in land use can be discovered in a timely manner, and corresponding treatment measures can be taken. In addition, the present invention can also automatically select appropriate treatment strategies according to the use status of plots. Whether dealing with long-term continuous abnormal states or short-term instantaneous abnormal states, corresponding treatment strategies can be quickly matched, so as to realize the optimal allocation and sustainable development of land resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 is a schematic flowchart of the method of the present invention;

[0057] Figure 2 is a schematic diagram of the system module of the present invention;

[0058] Figure 3 is a schematic diagram of the structure of the electronic device of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0059] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and understandable, the following detailed description of the specific embodiments of the present invention will be given with reference to the accompanying drawings of the specification.

[0060] Many specific details are set forth in the following description in order to provide a thorough understanding of the present invention. However, the present invention may be implemented in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0061] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure or characteristic that may be included in at least one implementation manner of the present invention. The "in a preferred embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment that excludes other embodiments.

[0062] The improvement of the arable land utilization rate can effectively promote the sustainable development of agricultural production. By implementing the arable land data management system of the present invention, the refined management of arable land resources can be realized, thereby improving the land use efficiency and reducing resource waste. In addition, by real-time monitoring and evaluating the use status of plots, problems in land use, such as land degradation and unreasonable crop planting, can be discovered and solved in a timely manner, and then corresponding treatment measures can be taken to ensure the stability and sustainability of agricultural production. Finally, the implementation of the present invention helps to realize the rational allocation and efficient utilization of land resources, and provides strong technical support for agricultural modernization.

[0063] See also Figure 1 As shown, the present invention provides a method for managing cultivated land data based on land management, comprising:

[0064] 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;

[0065] 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:

[0066] Obtain geographic information data of cultivated land, clean the geographic information data of cultivated land, and remove invalid and erroneous information;

[0067] 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;

[0068] 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.

[0069] 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;

[0070] In step S2, after the acquisition of geographical information data of cultivated land is completed, the plot division work will be carried out based on the obtained geographical information data of cultivated land. The purpose is to integrate small adjacent plots with similar conditions for unified management. 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. Among them, the steps of dividing plots according to the geographical information data of cultivated land and generating the plot information database include:

[0071] Extract the boundary parameters of the cultivated land from the geographical information data of the cultivated land. The boundary parameters include the edge coordinates and edge curves of the cultivated land. Among them, there are multiple edge curves, and they are in closed shapes;

[0072] Identify the distance between adjacent closed edge curves and record it as the classification condition parameter;

[0073] Obtain the classification threshold and compare the classification condition parameter with the classification threshold;

[0074] 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 will be divided into independent plots;

[0075] 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, and the cultivated land areas under the adjacent closed edge curves will be merged into independent plots;

[0076] Specifically, when dividing cultivated land into plots, first, it is necessary to extract the boundary parameters of the cultivated land from the geographical information data of the cultivated land. The boundary parameters include the edge coordinates and edge curves of the cultivated land. It should be noted that each sub-plot corresponds to an edge curve, and its corresponding edge curve is usually in 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, which will be used as a standard to judge whether the distance between adjacent closed edge curves is reasonable. By comparing the classification condition parameter with the classification threshold, the calibration results of each cultivated land area (sub-plot) can be determined. Specifically, if the classification condition parameter (that is, the distance between adjacent closed edge curves) is greater than the classification threshold, it indicates that the adjacent closed edge curves are too far apart. In this case, the cultivated land area under the adjacent closed edge curves is 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 the management efficiency and the rationality of land use.

[0077] S3. Monitor the crop planting information in each plot in real time and output the plot utilization rate according to the crop planting information;

[0078] In step S3, after the plot division is completed, the crop planting information in each plot will be monitored in real time, and based on this, the utilization rate of each plot will be determined. Specifically, through sensors installed in the field and remote sensing technology, the planting area of the crops can be collected, and the utilization rate of each plot can be calculated according to the planting area of the crops, that is, the ratio of the actual planting area to the total area of the plot. Among them, the steps of outputting the plot utilization rate according to the crop planting information include:

[0079] Obtain the planting area of the crop planting and record it as the first condition parameter;

[0080] Obtain the area parameters of each plot and record them as the second condition parameter;

[0081] Obtain the measurement function, input the first condition parameter and the second condition parameter into the measurement function, and record the output result of the measurement function as the plot utilization rate;

[0082] Specifically, in order to calculate the plot utilization rate according to the crop planting information, first, it is necessary to obtain the planting area related to the crop planting and record it as the first condition parameter. Secondly, it is also necessary to collect the area parameters of each plot and record them as the second condition parameter. Then, introduce the corresponding measurement function ( , where represents the number of plots, represents the plot utilization rate, represents the first conditional parameter, represents the second conditional parameter), the measurement function will be used to process the previously collected first and second conditional parameters. By inputting these first and second conditional parameters into the measurement function, the required plot utilization rate can be obtained. Among them, the first and second conditional parameters are not fixed. For example, the loss of cultivated land will cause the second conditional parameter to decrease, and the dumping and death of crops will cause the first conditional parameter to decrease, thereby affecting the calculation result of the plot utilization rate. To ensure the real-time and accuracy of the data, it is necessary to update the data of the crop planting area in real time to facilitate the timely adjustment and optimization of the plot utilization rate;

[0083] S4. Judge the usage status of the plot according to the plot utilization rate, where the usage status includes normal status and abnormal status;

[0084] In step S4, after the plot utilization rate is output, the usage status of the divided plots will be judged according to the calculated plot utilization rate. The usage status is divided into two types: normal status and abnormal status. For different usage statuses, different management measures will be taken. Among them, the steps of judging the usage status of the plot according to the plot utilization rate include:

[0085] Obtain the plot utilization rate of each plot and record it as the evaluation conditional parameter;

[0086] Obtain the evaluation threshold and compare the evaluation conditional parameter with the evaluation threshold;

[0087] When the evaluation conditional parameter is greater than the evaluation threshold, it indicates that the plot is fully utilized, and the usage status of the plot is recorded as the normal status;

[0088] When the evaluation conditional parameter is less than or equal to the evaluation threshold, it indicates that the plot is not fully utilized, and the usage status of the plot is recorded as the abnormal status;

[0089] Specifically, to accurately determine the usage 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. Then, a preset evaluation threshold is introduced, which will be used as the standard for judging the usage status of the plot. Subsequently, the obtained evaluation condition parameter is compared with the set evaluation threshold. Specifically, if the evaluation condition parameter shows that the utilization rate of the plot is higher than the evaluation threshold, it indicates that the plot has been fully utilized. In this case, the usage status of the plot is recorded as the normal state, indicating that the usage of the plot meets the 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, it means that the plot has not been fully utilized. In this case, the usage status of the plot is recorded as the abnormal state, and it is necessary to further determine the cause of the abnormal state to facilitate the intervention of management personnel;

[0090] S5. Under normal conditions, it indicates that the plot is fully utilized, and continuous monitoring is carried out on the plot in the normal state;

[0091] In step S5, when the usage status of the plot is normal, real-time continuous monitoring is carried out on the crops in the plot to facilitate real-time understanding of the crop growth situation of the plot in the normal state. Secondly, under normal conditions, a monitoring period is constructed, and multiple parallel nodes are set within the monitoring period;

[0092] Collect the usage area of the plot under each parallel node and record it as a sample condition parameter;

[0093] Obtain an evaluation function, and input the sample condition parameter into the evaluation function to obtain the area change trend value of each plot;

[0094] Obtain the inspection duration, and calculate the predicted usage area of the plot based on the area change trend value and the inspection duration;

[0095] Under normal working conditions, it is first necessary to construct a specific monitoring period. The time length of the monitoring period depends on the monitoring requirements and objectives. After determining the monitoring period, it is necessary to set multiple parallel nodes within the monitoring period to facilitate more detailed observation and recording of data. Under the parallel nodes, it is necessary 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 plot usage and will be used for subsequent analysis and calculation. Then, it is necessary to obtain the preset evaluation function ( , where represents the area change trend value, represents the time length of the monitoring period, represents the number of parallel nodes, and (indicating the sample condition parameters under adjacent parallel nodes), and then taking the sample condition parameters as input and through corresponding calculations, the area change trend values of each plot can be output, so as to reflect the change trend of the used area of each plot during the monitoring period. Then, based on the area change trend values, the used area of the plots can be predicted. First, the inspection duration needs to be obtained, that is, the length of time in the future. The inspection duration refers to the time period after the monitoring period for performing prediction calculations. Based on the area change trend values and the inspection duration, the predicted used area of each plot in the future can be calculated. The calculation formula for the predicted used area is: , where represents the predicted used area, represents the actual used area of the plot at the last collection, represents the inspection duration. The predicted used area is a reasonable speculation based on the current data and trends, which can help managers better understand the future use of the plots and provide a basis for decision-making;

[0096] S6. In the abnormal state, it indicates that the plot is not fully utilized, and an alarm signal is sent synchronously, and corresponding land treatment strategies are matched;

[0097] In step S6, the abnormal state means that the plot is not fully utilized, and there may be problems such as improper planting, soil degradation or other issues. Once the abnormal state is detected, an alarm signal will be sent immediately to remind the manager to take corresponding measures. At the same time, corresponding land treatment strategies will also be matched, such as adjusting the planting structure, improving the soil, increasing irrigation facilities, etc., to improve the use state of the plot and ensure the sustainable use of land resources. Among them, in the abnormal state, taking the determination node of the abnormal state as the intermediate node, a two-way offset is performed to obtain the verification period;

[0098] Set multiple verification nodes within the verification period, and collect the used area of the plot under the verification nodes and record it as the verification condition parameters;

[0099] Calculate the verification difference between adjacent verification nodes based on the verification condition parameters;

[0100] Obtain the verification threshold and compare the verification threshold with the verification difference;

[0101] If the verification difference is greater than the verification threshold, record the abnormal state of the plot as an instantaneous abnormal state, otherwise, record the abnormal state of the plot as a continuous abnormal state;

[0102] Specifically, in the abnormal state, it is necessary to use the determination node of the abnormal state as the intermediate node to perform bidirectional offset operations, so as 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 its corresponding plot will be collected and recorded as the verification condition parameter. After that, the verification difference between adjacent verification nodes will be calculated using the verification condition parameter. The verification difference refers to the change in the plot usage area between two adjacent verification nodes, so as to facilitate the subsequent evaluation of the fluctuation of the plot usage situation. To further determine whether these changes are within the normal range, it is necessary to introduce a pre-set verification threshold. The verification threshold is a key reference standard for judging whether the change in the plot usage 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 plot. If the calculation result shows that the verification difference is greater than the verification threshold, it means that the change in the plot usage area exceeds the normal range in a short time, and this situation will be recorded as an instantaneous abnormal state. On the contrary, if the verification difference is less than or equal to the verification threshold, it indicates that the plot usage area gradually exceeds the normal range, and this situation will be recorded as a continuous abnormal state for subsequent management and processing.

[0103] In a preferred embodiment, the land governance strategy includes an emergency governance strategy and a long-term governance strategy;

[0104] When the category of the abnormal state is a continuous abnormal state, match the long-term governance strategy;

[0105] When the category of the abnormal state is an instantaneous abnormal state, match the emergency governance strategy.

[0106] In this embodiment, 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, aiming to quickly stabilize land use and prevent further abnormal fluctuations. The corresponding abnormal category is the instantaneous abnormal state. There are various causes for the occurrence of the instantaneous abnormal state, such as sudden natural disasters, human destruction behaviors, 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 the persistent abnormal state. The persistent abnormal state indicates that there are persistent problems in the land use situation, such as long-term soil degradation or improper management, and systematic solutions are needed to achieve the long-term sustainable use of land resources. The long-term governance strategy may include, but is not limited to: adjusting the crop rotation plan, implementing soil improvement measures, optimizing the irrigation system, introducing sustainable agricultural technologies, etc. By accurately matching the abnormal categories of abnormal states, corresponding land governance measures can be formulated and implemented more effectively, thereby improving the utilization efficiency and sustainability of land resources.

[0107] In addition, apart from the above governance strategies, when managing cultivated land, the changes in cultivated land should also be managed. There may also be an increase. By dividing the changed areas in the cultivated land area into increased areas and decreased areas, when the cultivated land area changes, the change in the area of the regional cultivated land is monitored. Since both increased and decreased areas may exist within a cycle, and the change cycles of increased and decreased areas may be inconsistent, when constructing the monitoring cycle, periodic monitoring is carried out on the premise that the area of the increased area is greater than the area of the decreased area and the increase trend value is greater than the decrease trend value within one cycle. When the area of the increased area is less than the area of the decreased area, or the increase trend value is less than the decrease trend value, an upper limit for the decreased area is set to avoid excessive occupation during the cultivated land change process. In addition, for the parameters of the cultivated land change, in addition to obtaining them based on the area, the crop yield and historical crop yields also need to be compared, that is, on the premise of ensuring the cultivated land occupancy rate, the normal output of the cultivated land is guaranteed. The purpose is that the decreased cultivated land is fertile land, while the newly added cultivated land may be converted from forest land to cultivated land, converted from industrial land to cultivated land or other converted cultivated land, and the output of such land is relatively limited. Therefore, it is necessary to fully consider the area change and the actual planting situation.

[0108] Please refer to Figure 2 , a cultivated land data management system based on land governance, using the above-mentioned cultivated land data management method based on land governance, including:

[0109] A data acquisition module, which is used to obtain the geographical information data of cultivated land. The geographical information data of cultivated land includes the boundary parameters, area parameters, and soil parameters of cultivated land;

[0110] The plot division module is used to divide plots according to the geographical information data of cultivated land, generate a plot information database, and assign a number to each plot;

[0111] 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;

[0112] The status evaluation module is used to judge the usage status of the plot based on the plot utilization rate. Among them, the usage status includes normal status and abnormal status;

[0113] The first intervention module is used to indicate that the plot is fully utilized under normal conditions and continuously monitor the plots in the normal state;

[0114] The second intervention module is used to indicate that the plot is not fully utilized under abnormal conditions, synchronously send out an alarm signal, and match corresponding land treatment strategies.

[0115] As described 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 geographical information data of cultivated land. The geographical information data of cultivated land includes boundary parameters, area parameters, soil parameters, etc. of the cultivated land. Through accurate measurement and collection, it can provide accurate basic information for subsequent plot division and management. The plot division module divides plots according to the collected geographical information data of cultivated land, and can generate a detailed plot information database, which contains specific information of each plot. For the convenience of management and query, each plot will be assigned a unique number. The monitoring module is responsible for monitoring the crop planting situation in each plot in real time. By collecting and analyzing this information, the monitoring module can calculate the utilization rate of each plot and use this data for further analysis and decision support. The status evaluation module judges 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 the normal state. Its main task is to indicate that the plot is fully utilized and continuously monitor these plots in the normal state, and timely discover any problems that may affect the plot utilization rate. The second intervention module plays a role when the plot is in the abnormal state and synchronously sends out an alarm signal. In addition, the second intervention module will also match corresponding land treatment strategies to solve the problem of underutilized plots. These strategies may include adjusting the planting plan, improving soil quality, or taking other necessary management measures.

[0116] Please refer to Figure 3, an electronic device, the electronic device includes:

[0117] at least one processor;

[0118] and a memory communicatively connected to the at least one processor;

[0119] wherein, the memory stores a computer program executable 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.

[0120] The processor of the above-mentioned 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, etc. The memory can include but is not limited to random access memory (RAM), read-only memory (ROM), flash memory, hard disk drive, solid-state drive, or other forms of non-volatile memory. The computer program can be programmed to perform the functions of the data acquisition, plot division, monitoring, status evaluation, and intervention modules. The electronic device can also include an arithmetic unit, an input device, and an output device. The arithmetic unit can execute various data processing and calculation tasks. The input device allows the user to interact with the electronic device, input necessary data or instructions, and the output device is used to display the processing results or provide feedback information to the user.

[0121] 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, device, article or method including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, device, article or method. Without further limitation, an element defined by the statement "including one..." does not exclude the existence of additional identical elements in the process, device, article or method including the element.

[0122] The above are only the preferred embodiments of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention. The structures, devices, and operation methods not specifically described and explained in the present invention are implemented according to the conventional means in the art without special description and limitation.

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; In the abnormal state, it indicates that the land is not fully utilized, and an alarm signal is simultaneously issued, and a corresponding land management strategy is matched; 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 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; 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; Obtain an evaluation function, and input the sample condition parameters into the evaluation function to obtain the area change trend value of each plot, wherein the evaluation function is: , 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; The inspection duration is obtained, and the predicted use area of ​​the plot is calculated based on the area change trend value and the inspection duration. 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 duration.

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 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.

4. 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.

5. 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.

6. The method for managing cultivated land data based on land management according to claim 5, 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.

7. 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 6 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.

8. 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 6.

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