Geographic area governance strategy text acquisition method and device and medium

Abstract

The invention relates to the technical field of data processing, in particular to a geographic area governance strategy text obtaining method and device and a medium, and the method comprises the steps: obtaining a first image data set of a to-be-governed geographic area, a second image data set of each governed geographic area and a third image data set of each grain farming geographic area, performing feature extraction on the first image data set to obtain a first feature vector corresponding to a to-be-governed geographic area, and calculating to obtain a to-be-governed degree corresponding to the to-be-governed geographic area according to the first feature vector corresponding to the to-be-governed geographic area, determining a key geographic area according to a comparison result of the to-be-governed degree and a preset degree threshold value, and further determining a target governing strategy text corresponding to the to-be-governed geographic area; according to the method, the reasonable and reliable to-be-governed degree of the geographic area can be obtained, so that the obtained governing strategy text is more accurate and meets the requirements.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a method, device and medium for acquiring governance strategy text for a geographical area. Background Art

[0002] At present, in order to promote the "non-grain" remediation work, it is necessary to manage non-grain cultivated land and make it tend to grain cultivation, thereby increasing the area of ​​grain fields. Grain fields refer to relatively concentrated and contiguous plots based on permanent basic farmland, with good water and soil resources, relatively complete infrastructure, and crops planted can be wheat, corn, etc., while the current non-grain cultivated land is mainly perennial economic crop plots, such as plots for planting seedlings, flowers, fruits, etc. Therefore, it is necessary to carry out remediation work on non-grain cultivated land, and when managing this type of plot, it is necessary to understand the actual planting situation of the plot to determine the appropriate management strategy to improve the management quality.

[0003] In view of the above problems, the present invention proposes a method for acquiring governance policy text of a geographical area. Summary of the invention

[0004] In response to the above technical problems, the present invention provides a method, device and medium for obtaining the governance policy text of a geographical area, which can obtain a reasonable and reliable degree of governance of the geographical area, so that the acquired governance policy text is more accurate and meets the needs.

[0005] According to a first aspect of the present invention, a method for obtaining governance policy text of a geographical area is provided, comprising the following steps: A first image data set of the geographical area to be governed, a second image data set of each geographical area under governance, and a third image data set of each geographical area under grain cultivation are obtained.

[0006] Feature extraction is performed on the first image data set to obtain a first feature vector corresponding to the geographical area to be governed, and the degree of governance corresponding to the geographical area to be governed is calculated based on the first feature vector corresponding to the geographical area to be governed.

[0007] When the degree of governance corresponding to the geographical area to be governed is greater than a preset degree threshold, a second feature vector corresponding to each geographical area under governance is obtained based on the second image data set of each geographical area under governance, and based on the similarity between the first feature vector and each second feature vector, the geographical area under governance corresponding to the geographical area to be governed is determined, and the determined geographical area under governance is used as the key geographical area.

[0008] When the degree of governance corresponding to the geographical area to be governed is not greater than the preset degree threshold, the third feature vector corresponding to each grain-growing geographical area is obtained according to the third image data set of each grain-growing geographical area, and the grain-growing geographical area corresponding to the geographical area to be governed is determined according to the similarity between the first feature vector and each third feature vector, and the determined grain-growing geographical area is used as the key geographical area.

[0009] Based on the key geographical areas, the target governance policy text corresponding to the geographical area to be governed is determined from the preset governance policy text library.

[0010] According to a second aspect of the present invention, a non-transitory computer-readable storage medium is provided, in which at least one instruction or at least one program is stored, and the at least one instruction or the at least one program is loaded and executed by a processor to implement the above-mentioned method for acquiring the governance policy text of a geographic area.

[0011] According to a third aspect of the present invention, there is provided an electronic device comprising a processor and the above-mentioned non-transitory computer-readable storage medium.

[0012] The present invention has at least the following beneficial effects: The present invention provides a method for obtaining a governance policy text of a geographical area. First, a first image data set of a geographical area to be governed, a second image data set of each geographical area under governance, and a third image data set of each geographical area under grain cultivation are obtained. Feature extraction is performed on the first image data set to obtain a first feature vector corresponding to the geographical area to be governed. According to the first feature vector corresponding to the geographical area to be governed, a degree of governance to be obtained corresponding to the geographical area to be governed is calculated. In this process, the influence of each feature dimension in the first feature vector on the degree of governance is taken into account, so that the obtained degree of governance is more reasonable and reliable, thereby improving the accuracy of the obtained governance policy text. Then, according to the comparison result between the degree of governance and a preset degree threshold, a key geographical area is selected from several geographical areas under governance or several geographical areas under grain cultivation. Finally, according to the regional type of the key geographical area, a target governance policy text corresponding to the geographical area to be governed is determined, so that the obtained governance policy text is more accurate and meets the needs, thereby improving the subsequent governance quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0014] Figure 1A flowchart of a method for acquiring governance policy text for a geographical area provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0016] The embodiment of the present invention provides a method for obtaining governance policy text of a geographical area, such as Figure 1 As shown, the method comprises the following steps: S100, obtaining a first image dataset of a geographical area to be governed, a second image dataset of each geographical area under governance, and a third image dataset of each food-growing geographical area. The geographical area to be governed may be a plot of land planted with perennial cash crops, such as fruits, flowers, trees, etc.

[0017] Specifically, the geographical area under governance refers to an area that is under governance and does not belong to a grain farming geographical area; for example, the entire geographical area originally planted with cash crops is governed to plant grain crops in part of the area.

[0018] Furthermore, crops in the grain-growing geographical area include rice, wheat and corn.

[0019] Specifically, the first image data set is a plurality of images obtained by taking remote sensing images of the geographical area to be managed according to a time period within a preset time period, wherein the duration of the preset time period is greater than the crop growth cycle corresponding to the geographical area under management. In a specific implementation, the time period may be 1 day.

[0020] Furthermore, the second image data set and the third image data set are acquired in the same manner as the first image data set.

[0021] S200, extracting features from the first image data set to obtain a first feature vector corresponding to the geographical area to be governed, and calculating the degree of governance corresponding to the geographical area to be governed based on the first feature vector corresponding to the geographical area to be governed.

[0022] Specifically, the characteristic dimensions corresponding to the first characteristic vector include the area corresponding to the geographical area to be treated, the crop growth cycle, the maximum NDVI value and the average NDVI value within the crop growth cycle, the average change rate of the NDVI value, and the NDVI value distribution ratio. For example, the area of ​​the geographical area to be treated is the average value of the area obtained according to each first image data, wherein obtaining the area size of the real object in the image according to the image data is a prior art and will not be repeated here.

[0023] Furthermore, the crop growth cycle corresponding to the geographical area to be governed is a number of days. Since crops have a pattern of changing from small to large and then to small in the process of growth, the crop growth cycle can be obtained according to the change cycle of the NDVI value.

[0024] Furthermore, the average change rate of the NDVI value is the ratio of the difference between the maximum NDVI value and the average NDVI value during the crop growth cycle to the crop growth cycle.

[0025] Furthermore, the NDVI value distribution ratio is the ratio of the difference between the maximum NDVI value and the average NDVI value during the crop growth cycle to the area of ​​the geographical area to be managed.

[0026] In a specific embodiment, the step of calculating the degree of governance corresponding to the geographical area to be governed according to the first feature vector corresponding to the geographical area to be governed comprises the following steps: S201, calculating the feature weight corresponding to each target feature dimension in the first feature vector; the target feature dimension is a feature dimension obtained by screening or combining several feature dimensions corresponding to the first feature vector.

[0027] In an embodiment of the present invention, the target characteristic dimension is any one of regional area, crop growth cycle, NDVI difference, average change rate of NDVI value and NDVI value distribution ratio, wherein the NDVI difference is the difference between the maximum NDVI value and the average NDVI value.

[0028] Preferably, the entropy weight method is used to calculate the feature weight corresponding to each target feature dimension in the first feature vector.

[0029] Furthermore, the entropy weight method is used to calculate the feature weight corresponding to each target feature dimension in the first feature vector, which specifically includes the following steps: S2011, obtaining a number of geographic area samples to be governed and a target feature data set corresponding to each geographic area sample to be governed; the target feature data set includes data corresponding to each target feature dimension.

[0030] S2012, standardizing the data in the target feature data set corresponding to each sample of the geographic area to be governed, so that the data corresponding to different target feature dimensions are converted into the same dimension.

[0031] S2013, calculating the feature information entropy corresponding to each target feature dimension based on the standardized data.

[0032] Specifically, the feature information entropy corresponding to the target feature dimension meets the following conditions: H j =-(1 / lnm)∑ m i=1 (P ij oeLh ij ), where H j is the characteristic information entropy corresponding to the jth target characteristic dimension, m is the number of samples in the geographical area to be governed, P ij is the proportion of the i-th sample of the geographical area to be governed under the j-th target characteristic dimension.

[0033] S2014, calculating the feature weight corresponding to each target feature dimension according to the feature information entropy corresponding to each target feature dimension.

[0034] Specifically, the feature weights corresponding to the target feature dimensions meet the following conditions: W j =(1-H j ) / ∑ n j=1 (1-H j ), where W j is the feature weight corresponding to the jth target feature dimension, and n is the number of target feature dimensions.

[0035] S202: Calculate the governance score corresponding to the geographical area to be governed according to the characteristic value and characteristic weight corresponding to each target characteristic dimension.

[0036] Specifically, the governance score S corresponding to the to-be-governed geographical area meets the following conditions: S=∑ D d=1 (±a d (2 / π×abs(arctg(x d ), where D is the number of target feature dimensions, a d is the feature weight corresponding to the d-th target feature dimension, x d is the characteristic value corresponding to the dth target characteristic dimension, and ± indicates that when the target characteristic dimension has a positive impact on the governance score, it takes a positive sign, otherwise it takes a negative sign. For example, in an embodiment of the present invention, when the target characteristic dimension is the area or the crop growth cycle, it takes a positive sign, otherwise it takes a negative sign.

[0037] It should be noted that since the growth cycle of grain crops is short and the NDVI values ​​vary greatly from planting to harvesting, while the growth cycle of perennial cash crops is long and the perennial vegetation index always maintains a high value with only a small fluctuation, the longer the crop growth cycle, the more the crop tends to be a perennial cash crop and the more it needs governance. On this basis, the larger the regional area, the greater the degree of governance, and the smaller the change in NDVI value, the more it tends to be a perennial cash crop. Therefore, the regional area and crop growth cycle have a positive impact on the governance score, while other characteristic dimensions have a negative impact on the governance score.

[0038] S203, normalizing the governance scores corresponding to the governance geographical areas to be governed to obtain the governance degrees corresponding to the governance geographical areas to be governed.

[0039] Specifically, the degree of governance F corresponding to the geographical area to be governed meets the following conditions: F = 100 × 1 / (1 + e -S ).

[0040] As mentioned above, by obtaining the feature weight corresponding to each target feature dimension, it is possible to know the influence of each target feature dimension on the degree of governance of the governed geographical area, and consider the positive or negative influence of the target feature dimension on the degree of governance, so that the calculated degree of governance is more reasonable and reliable, and improve the accuracy of the obtained governance policy text, so that the obtained governance policy text is more in line with the needs.

[0041] S300, when the degree of governance corresponding to the geographical area to be governed is greater than a preset degree threshold, a second feature vector corresponding to each geographical area under governance is obtained based on a second image data set of each geographical area under governance, and based on the similarity between the first feature vector and each second feature vector, the geographical area under governance corresponding to the geographical area to be governed is determined, and the determined geographical area under governance is used as the key geographical area.

[0042] Specifically, the method for obtaining the second feature vector is consistent with the method for obtaining the first feature vector, that is, the feature dimensions corresponding to the second feature vector include the regional area corresponding to the geographical area under governance, the crop growth cycle, the maximum NDVI value and the average NDVI value within the crop growth cycle, the average change rate of the NDVI value, and the NDVI value distribution ratio; among which, the crop growth cycle is the average growth cycle of all crops in the geographical area under governance.

[0043] In a specific embodiment, the following steps are used to determine the geographical area under governance corresponding to the geographical area to be governed: S301, for any feature dimension, calculate the feature similarity between the feature value of the feature dimension in the first feature vector and the feature value of the feature dimension in each second feature vector. For example, the feature similarity between the two feature values ​​is obtained by calculating the cosine similarity of the two feature values.

[0044] S302, calculating the feature weight corresponding to each feature dimension.

[0045] Furthermore, the entropy weight method is used to calculate the feature weight corresponding to each feature dimension. The feature weight corresponding to the feature dimension is obtained in the same way as the feature weight corresponding to the target feature dimension. The only difference is that 6 feature dimensions are converted from 5 feature dimensions. Therefore, the specific calculation process will not be repeated here.

[0046] S303, calculating a weighted sum based on the feature similarity between the feature value of the feature dimension in the first feature vector and the feature value of the feature dimension in each second feature vector and the feature weight corresponding to each feature dimension to obtain the first similarity of the first feature vector and each second feature vector.

[0047] S304: Determine the managed geographical area corresponding to the largest first similarity as the managed geographical area corresponding to the to-be-managed geographical area.

[0048] As mentioned above, when the degree of governance corresponding to the geographical area to be governed is large, it indicates that the difference between the geographical area to be governed and the grain-cultivating geographical area is large. Therefore, in the governance process, it is necessary to first transition to the geographical area under governance. By comparing the similarity between the characteristic vectors of the two geographical areas, the geographical area under governance that is similar to the geographical area to be governed can be determined, and its governance situation is closer to and suitable for the geographical area to be governed. Therefore, the found governance policy text is more in line with the actual governance needs of the geographical area to be governed.

[0049] S400, when the degree of governance corresponding to the geographical area to be governed is not greater than the preset degree threshold, the third feature vector corresponding to each grain-growing geographical area is obtained according to the third image data set of each grain-growing geographical area, and the grain-growing geographical area corresponding to the geographical area to be governed is determined according to the similarity between the first feature vector and each third feature vector, and the determined grain-growing geographical area is used as the key geographical area.

[0050] Specifically, the method for obtaining the third eigenvector is consistent with the method for obtaining the first eigenvector, that is, the characteristic dimensions corresponding to the third eigenvector include the regional area corresponding to the grain farming geographical area, the crop growth cycle, the maximum NDVI value and the average NDVI value within the crop growth cycle, the average change rate of the NDVI value, and the NDVI value distribution ratio.

[0051] In a specific embodiment, the food farming geographical area corresponding to the geographical area to be governed is determined by the following steps: S401, for any feature dimension, calculate the feature similarity between the feature value of the feature dimension in the first feature vector and the feature value of the feature dimension in each third feature vector. For example, the feature similarity between the two feature values ​​is obtained by calculating the cosine similarity of the two feature values.

[0052] S402, calculating the feature weight corresponding to each feature dimension, wherein the feature weight corresponding to each feature dimension is calculated using an entropy weight method.

[0053] S403, calculating a weighted sum based on the feature similarity between the feature value of the feature dimension in the first feature vector and the feature value of the feature dimension in each third feature vector and the feature weight corresponding to each feature dimension to obtain the second similarity of the first feature vector and each third feature vector.

[0054] S404: Determine the grain-growing geographical area corresponding to the largest second similarity as the grain-growing geographical area corresponding to the geographical area to be governed.

[0055] As mentioned above, when the degree of governance corresponding to the geographical area to be governed is small, it indicates that the difference between the geographical area to be governed and the grain-cultivating geographical area is small. Therefore, the grain-cultivating geographical area can be directly used as the governance direction of the geographical area to be governed. By comparing the similarity between the characteristic vectors of the two geographical areas, the grain-cultivating geographical area close to the geographical area to be governed can be determined, and its governance situation is closer to and suitable for the geographical area to be governed. Therefore, the found governance strategy text is more in line with the actual governance needs of the geographical area to be governed.

[0056] S500: Based on the key geographical area, determine the target governance policy text corresponding to the geographical area to be governed from a preset governance policy text library.

[0057] Specifically, step S500 also includes the following steps: S501, when the key geographical area is a food-growing geographical area, determining a first target plot of land to be governed from the geographical area to be governed.

[0058] Specifically, the geographical area to be managed is divided into a number of regional grids, and according to the change of the NDVI value of each regional grid, the regional grids determined with non-food crops are merged as the first target plot to be managed.

[0059] S502, obtaining the attribute characteristics of the first target land parcel to be governed, and obtaining the corresponding first governance policy text from the first governance policy text set in the preset governance policy text library according to the attribute characteristics of the first target land parcel to be governed; it can be understood as: using the attribute characteristics as keywords, searching the first governance policy text set for the first governance policy text with the highest similarity to the attribute characteristics.

[0060] Specifically, the attribute characteristics of the first target land parcel to be managed include the area of ​​the first target land parcel to be managed and the types of crops planted in the first target land parcel to be managed.

[0061] S503, when the key geographical area is a geographical area under governance, obtaining attribute characteristics of the key geographical area, and obtaining a corresponding second governance policy text from a second governance policy text set in a preset governance policy text library according to the attribute characteristics of the key geographical area.

[0062] Specifically, the attribute characteristics of the key geographical area include the area of ​​the key geographical area and the types of crops grown in the key geographical area.

[0063] Furthermore, the method for acquiring the second governance policy text is consistent with the method for acquiring the first governance policy text.

[0064] As mentioned above, the degree of treatment of the geographical area to be treated can reflect the gap between cultivated crops and food crops. For different cultivated crops, when treating them to make them tend to food plots, factors such as the impact of the crops to be treated on the growth of food crops, soil nutrition and treatment costs should be considered. Therefore, different treatment methods should be adopted for plots with different degrees of treatment. For example, when the degree of treatment is large, it is necessary to first transition to the geographical area under treatment, which is conducive to improving the rationality of plot treatment and promoting the balance of local food revenue and expenditure and economic revenue and expenditure.

[0065] In summary, the present invention provides a method for obtaining a governance policy text of a geographical area. First, a first image data set of a geographical area to be governed, a second image data set of each geographical area under governance, and a third image data set of each grain-cultivating geographical area are obtained, and feature extraction is performed on the first image data set to obtain a first feature vector corresponding to the geographical area to be governed, and the degree of governance to be governed corresponding to the geographical area to be governed is calculated based on the first feature vector corresponding to the geographical area to be governed. In this process, the influence of each feature dimension in the first feature vector on the degree to be governed is taken into account, so that the obtained degree to be governed is more reasonable and reliable, thereby improving the accuracy of the acquired governance policy text, and then, according to the comparison result between the degree to be governed and the preset degree threshold, a key geographical area is selected from several geographical areas under governance or several grain-cultivating geographical areas, and finally, according to the regional type of the key geographical area, the target governance policy text corresponding to the geographical area to be governed is determined, so that the acquired governance policy text is more accurate and meets the needs, thereby improving the subsequent governance quality.

[0066] An embodiment of the present invention also provides a non-transitory computer-readable storage medium, which can be set in an electronic device to store at least one instruction or at least one program related to implementing a method in a method embodiment. The at least one instruction or the at least one program is loaded and executed by the processor to implement the method for obtaining the governance policy text of a geographic area provided in the above embodiment.

[0067] An embodiment of the present invention further provides an electronic device, comprising a processor and the aforementioned non-transitory computer-readable storage medium.

[0068] Although some specific embodiments of the present invention have been described in detail by way of example, it will be appreciated by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present invention. It will also be appreciated by those skilled in the art that various modifications may be made to the embodiments without departing from the scope and spirit of the present invention. The scope of the present invention is defined by the appended claims.

Claims

1. A method for obtaining governance strategy text of a geographical area, characterized in that: The method comprises the following steps: Acquire a first image data set of the geographical area to be governed, a second image data set of each geographical area under governance, and a third image data set of each geographical area under grain cultivation; Performing feature extraction on the first image data set to obtain a first feature vector corresponding to the geographical area to be governed, and calculating the degree of governance corresponding to the geographical area to be governed based on the first feature vector corresponding to the geographical area to be governed; When the degree of governance corresponding to the to-be-governed geographical area is greater than a preset degree threshold, a second feature vector corresponding to each of the geographical areas under governance is obtained according to the second image data set of each of the geographical areas under governance, and the geographical area under governance corresponding to the to-be-governed geographical area is determined according to the similarity between the first feature vector and each of the second feature vectors, and the determined geographical area under governance is used as the key geographical area; When the degree of governance corresponding to the geographical area to be governed is not greater than a preset degree threshold, a third feature vector corresponding to each grain-growing geographical area is obtained according to the third image data set of each grain-growing geographical area, and the grain-growing geographical area corresponding to the geographical area to be governed is determined according to the similarity between the first feature vector and each third feature vector, and the determined grain-growing geographical area is used as the key geographical area; Based on the key geographical areas, the target governance policy text corresponding to the geographical area to be governed is determined from the preset governance policy text library.

2. The method for obtaining the governance strategy text of a geographical area according to claim 1, characterized in that: The characteristic dimensions corresponding to the first characteristic vector include the area corresponding to the geographical area to be governed, the crop growth cycle, the maximum NDVI value and the average NDVI value within the crop growth cycle, the average change rate of the NDVI value, and the NDVI value distribution ratio.

3. The method for obtaining the governance strategy text of a geographical area according to claim 2, characterized in that: The average change rate of the NDVI value is the ratio of the difference between the maximum NDVI value and the average NDVI value during the crop growth cycle to the crop growth cycle; The NDVI value distribution ratio is the ratio of the difference between the maximum NDVI value and the average NDVI value during the crop growth cycle to the area of ​​the geographical area to be managed.

4. The method for obtaining the governance strategy text of a geographical area according to claim 2, characterized in that: The step of calculating the degree of governance corresponding to the geographical area to be governed according to the first characteristic vector corresponding to the geographical area to be governed comprises the following steps: Calculate the feature weight corresponding to each target feature dimension in the first feature vector; the target feature dimension is a feature dimension obtained by screening or combining several feature dimensions corresponding to the first feature vector; According to the characteristic value and characteristic weight corresponding to each target characteristic dimension, the governance score corresponding to the geographical area to be governed is calculated; The governance score S corresponding to the to-be-governed geographical area meets the following conditions: S=∑ D d=1 (±a d (2 / π×abs(arctg(x d ), where D is the number of target feature dimensions, a d is the feature weight corresponding to the dth target feature dimension, x d is the eigenvalue corresponding to the dth target characteristic dimension, ± means that when the target characteristic dimension has a positive impact on the governance score, it takes a positive sign, otherwise it takes a negative sign; S203, normalizing the governance scores corresponding to the governance geographical areas to be governed to obtain the governance degrees corresponding to the governance geographical areas to be governed.

5. The method for obtaining the governance strategy text of a geographical area according to claim 1, characterized in that: Determine the governance geographical area corresponding to the governance geographical area through the following steps: For any feature dimension, calculating the feature similarity between the feature value of the feature dimension in the first feature vector and the feature value of the feature dimension in each second feature vector; Calculate the feature weight corresponding to each feature dimension; According to the feature similarity between the feature value of the feature dimension in the first feature vector and the feature value of the feature dimension in each second feature vector and the feature weight corresponding to each feature dimension, a weighted sum is calculated to obtain the first similarity of the first feature vector and each second feature vector respectively; The governed geographical area corresponding to the largest first similarity is determined as the governed geographical area corresponding to the to-be-governed geographical area.

6. The method for obtaining the governance strategy text of a geographical area according to claim 1, characterized in that: Determine the food cultivation geographical area corresponding to the geographical area to be governed by the following steps: For any feature dimension, calculating the feature similarity between the feature value of the feature dimension in the first feature vector and the feature value of the feature dimension in each third feature vector; Calculate the feature weight corresponding to each feature dimension; According to the feature similarity between the feature value of the feature dimension in the first feature vector and the feature value of the feature dimension in each third feature vector and the feature weight corresponding to each feature dimension, a weighted sum is calculated to obtain the second similarity of the first feature vector and each third feature vector respectively; The grain-growing geographical area corresponding to the largest second similarity is determined as the grain-growing geographical area corresponding to the geographical area to be governed.

7. The method for obtaining the governance strategy text of a geographical area according to claim 1, characterized in that: The method of determining the target governance policy text corresponding to the to-be-governed geographical area from a preset governance policy text library based on the key geographical area comprises the following steps: When the key geographical area is a food-cultivating geographical area, a first target land parcel to be governed is determined from the geographical area to be governed; Acquire the attribute characteristics of the first target land parcel to be governed, and acquire the corresponding first governance policy text from the first governance policy text set in the preset governance policy text library according to the attribute characteristics of the first target land parcel to be governed; When the key geographical area is a geographical area under governance, the attribute characteristics of the key geographical area are obtained, and the corresponding second governance policy text is obtained from the second governance policy text set in the preset governance policy text library according to the attribute characteristics of the key geographical area.

8. A non-transitory computer-readable storage medium, wherein at least one instruction or at least one program is stored in the storage medium, characterized in that: The at least one instruction or the at least one program is loaded and executed by the processor to implement the method for acquiring the governance policy text of a geographic area as described in any one of claims 1-7.

9. An electronic device, characterized in that: The invention comprises a processor and the non-transitory computer-readable storage medium as claimed in claim 8.

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