Soil moisture analysis method and system based on vegetation water absorption capacity

Abstract

The invention discloses a soil moisture analysis method and system based on vegetation water absorption, and the method comprises the steps: calculating the water absorption of a vegetation block in each grid, selecting a target vegetation block based on the size of each water absorption, and obtaining the target soil moisture content of a target sub-plot in a target grid where the target vegetation block is located, determining other soil moisture contents corresponding to other water absorbing capacities according to the ratio of the target soil moisture content to the target water absorbing capacity, and correcting the other soil moisture contents according to a preset correction strategy to obtain final other soil moisture correction contents; and superposing the other soil moisture correction contents with the target soil moisture content to obtain the soil moisture content of a certain target area. According to the method, the moisture content in the soil can be accurately analyzed, and compared with a traditional mode that the target plot is divided into grids and the moisture content of the soil in each grid is obtained, the workload of workers can be reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of soil moisture analysis, and in particular relates to a soil moisture analysis method and system based on vegetation water absorption. Background Art

[0002] Soil moisture is the link between atmospheric precipitation, water in plants, surface water and groundwater, and is a key parameter factor in the research of hydrology, agriculture, climate, ecology and other fields. Therefore, it is of great significance to achieve accurate and rapid monitoring of surface soil moisture in large areas.

[0003] At present, in the process of soil moisture analysis, it is necessary to obtain the soil moisture content at each location in the plot, which causes a heavy workload for the staff. Summary of the invention

[0004] The present invention provides a soil moisture analysis method and system based on vegetation water absorption, which are used to solve the technical problem that the soil moisture content at each position in a plot needs to be obtained, resulting in a large workload for staff.

[0005] In a first aspect, the present invention provides a soil moisture analysis method based on vegetation water absorption, comprising: Acquire a remote sensing image of a target plot, input the remote sensing image into a preset region division model, and output the region division model at least one target region, wherein the vegetation type in each target region is different; Divide a target area into at least one grid, wherein each grid includes a sub-plot and a vegetation block planted on the sub-plot; Calculate the water absorption of vegetation blocks in each grid, and select target vegetation blocks based on the size of each water absorption; Obtaining a target soil moisture content of a target subplot in a target grid where the target vegetation block is located, and determining other soil moisture contents corresponding to other water absorption amounts according to a ratio of the target soil moisture content to the target water absorption amount, wherein the target water absorption amount is the water absorption amount of the target vegetation block; The other soil moisture content is corrected according to a preset correction strategy to obtain a final other soil moisture corrected content, and the other soil moisture corrected content is superimposed on the target soil moisture content to obtain the soil moisture content of the certain target area.

[0006] In a second aspect, the present invention provides a soil moisture analysis system based on vegetation water absorption, comprising: An acquisition module is configured to acquire a remote sensing image of a target plot, and input the remote sensing image into a preset region division model, wherein the region division model outputs at least one target region, wherein the vegetation type on each target region is different; A division module is configured to divide a target area into at least one grid, wherein a grid includes a sub-plot and a vegetation block planted on the sub-plot; A selection module is configured to calculate the water absorption of vegetation blocks in each grid and select target vegetation blocks based on the magnitude of each water absorption; a determination module configured to obtain a target soil moisture content of a target subplot in a target grid where the target vegetation block is located, and determine other soil moisture contents corresponding to other water absorption amounts according to a ratio of the target soil moisture content to the target water absorption amount, wherein the target water absorption amount is the water absorption amount of the target vegetation block; The correction module is configured to correct the other soil moisture content according to a preset correction strategy to obtain a final other soil moisture correction content, and superimpose the other soil moisture correction content with the target soil moisture content to obtain the soil moisture content of the certain target area.

[0007] According to a third aspect, an electronic device is provided, comprising: at least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can perform the steps of the soil moisture analysis method based on vegetation water absorption according to any embodiment of the present invention.

[0008] In a fourth aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the program instructions are executed by a processor, the processor executes the steps of the soil moisture analysis method based on vegetation water absorption of any embodiment of the present invention.

[0009] The soil moisture analysis method and system based on vegetation water absorption of the present application calculate the water absorption of vegetation blocks in each grid, and select target vegetation blocks based on the size of each water absorption, obtain the target soil moisture content of the target sub-plot in the target grid where the target vegetation block is located, and determine other soil moisture contents corresponding to other water absorptions according to the ratio of the target soil moisture content to the target water absorption, correct the other soil moisture contents according to a preset correction strategy to obtain the final other soil moisture corrected contents, and superimpose the other soil moisture corrected contents with the target soil moisture content to obtain the soil moisture content of a certain target area, which can more accurately analyze the moisture content in the soil, and can reduce the workload of staff compared to the traditional method of dividing the target plot into grids and obtaining the soil moisture content in each grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0011] Figure 1 A flow chart of a soil moisture analysis method based on vegetation water absorption provided by one embodiment of the present invention; Figure 2 A structural block diagram of a soil moisture analysis system based on vegetation water absorption provided by an embodiment of the present invention; Figure 3 It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0012] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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 ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0013] See also Figure 1 , which shows a flow chart of a soil moisture analysis method based on vegetation water absorption of the present application.

[0014] like Figure 1 As shown, the soil moisture analysis method based on vegetation water absorption specifically includes the following steps: Step S101, acquiring a remote sensing image of a target plot, and inputting the remote sensing image into a preset region division model, wherein the region division model outputs at least one target region, wherein the vegetation types in each target region are different.

[0015] In this step, historical remote sensing images are obtained and divided into a training image set and an optimized image set, wherein the historical remote sensing images in the training image set are marked with various region types, and the historical remote sensing images in the optimized image set are original soil environment images; an initial partitioning model is established, and the historical remote sensing images in the training image set are input into the initial partitioning model for training until the number of training times reaches a preset number, thereby obtaining a training partitioning model; the original soil environment images in the optimized image set are input into the training partitioning model for recognition optimization, until the recognition accuracy reaches a preset accuracy, thereby obtaining a region partitioning model.

[0016] Furthermore, the remote sensing image of the target plot is input into the region division model, and the grayscale features and texture features in the remote sensing image are identified according to the region division model; it is determined whether the grayscale features and texture features in the remote sensing image are successfully matched with the preset grayscale features and preset texture features of a certain area type respectively; if successful, the remote sensing image is divided into regions to obtain at least one target area, otherwise the matching continues.

[0017] Step S102: Divide a target area into at least one grid, wherein a grid includes a sub-plot and a vegetation block planted on the sub-plot.

[0018] Step S103, calculating the water absorption of the vegetation blocks in each grid, and selecting the target vegetation blocks based on the magnitude of the water absorption.

[0019] In this step, , In the formula, μ i,j For vegetation blocks i In the grid j The water absorption in D i,j For vegetation blocks i In the grid j The root length density in v j For Grid j The volume of k is the soil depth, Range i,j,k For vegetation blocks i In the grid j Soil Depth k In the range, θ k,j For Gridj At soil depth k The matrix potential in θ k-1,j For Grid j At soil depth k -1 in the matrix potential, D j,k For Grid j At soil depth k The root length density in ρ i,j For vegetation blocks i In the grid j The volume root length density in; , In the formula, Diameter i,j For vegetation blocks i In the grid j The root diameter in Range i,k For vegetation blocks i At soil depth k in the range.

[0020] It should be noted that, based on the numerical value, each water absorption is sorted to obtain a water absorption sequence; it is determined whether the numerical change between the first water absorption and the second water absorption is greater than a preset threshold, wherein the first water absorption and the second water absorption are two adjacent water absorptions; if it is not greater than the preset threshold, the water absorption sequence is divided into a first water absorption quantum sequence and a second water absorption quantum sequence with the first water absorption and the second water absorption as the dividing point, wherein the last water absorption in the first water absorption quantum sequence is the first water absorption, and the first water absorption in the second water absorption quantum sequence is the second water absorption; in the first water absorption quantum sequence, the vegetation block corresponding to the water absorption with the largest numerical value is selected as the first target vegetation block, and in the second water absorption quantum sequence, any vegetation block corresponding to a water absorption is selected as the second target vegetation block.

[0021] If it is greater than the preset threshold, the first water absorption amount and the second water absorption amount are not used as the dividing point, and it is continued to be determined whether the numerical change between the second water absorption amount and the third water absorption amount is greater than the preset threshold, wherein the second water absorption amount and the third water absorption amount are two adjacent water absorption amounts.

[0022] For example, the water absorption a is 5ml, the water absorption b is 6ml, the water absorption c is 7ml, the water absorption d is 8ml, the water absorption e is 10ml, the water absorption f is 10ml, and the water absorption g is 10ml. Then the first water absorption quantum sequence is: water absorption a, water absorption b, water absorption c, water absorption d, water absorption e. The second water absorption quantum sequence is: water absorption f, water absorption g.

[0023] Step S104, obtaining the target soil moisture content of the target sub-plot in the target grid where the target vegetation block is located, and determining other soil moisture contents corresponding to other water absorptions according to the ratio of the target soil moisture content to the target water absorption, wherein the target water absorption is the water absorption of the target vegetation block.

[0024] In this step, by comparing the mass of the target sub-plot before and after drying, the soil moisture content can be effectively obtained. For example, the target water absorption corresponding to the target vegetation block is 10ml, and the target soil moisture content of the target plot corresponding to the target vegetation block is 100ml / dm 3 , the target water absorption of a vegetation block is 8 ml, then the soil moisture content of a plot corresponding to a vegetation block is 80 ml / dm 3 .

[0025] Step S105, correcting the other soil moisture content according to a preset correction strategy to obtain a final other soil moisture correction content, and superimposing the other soil moisture correction content with the target soil moisture content to obtain the soil moisture content of the certain target area.

[0026] In this step, the first target soil moisture content of the first target sub-plot in the target grid where the first target vegetation block is located is obtained, and the predicted soil moisture content corresponding to the second target water absorption of the second target vegetation block is determined according to the ratio of the first target water absorption of the first target vegetation block to the first target soil moisture content; the second target soil moisture content of the first target sub-plot in the target grid where the second target vegetation block is located is obtained, and the difference between the second target soil moisture content and the first target soil moisture content is calculated to obtain a correction amount; according to the correction amount and the ratio of the first target water absorption of the first target vegetation block to the second target water absorption of the first target vegetation block, the soil moisture content corresponding to each water absorption in the second water absorption quantum sequence is corrected to obtain a final soil moisture corrected content.

[0027] In a specific embodiment, since the water absorption of vegetation will reach an upper limit, if the water content in multiple soils is relatively high, the water absorption of vegetation will reach an upper limit value and fluctuate around the upper limit value, and the soil water content at this time may be different.

[0028] Therefore, the water absorption sequence is divided into a first water absorption quantum sequence that changes continuously and a second water absorption quantum sequence that does not change or changes to a lower degree.

[0029] A first target vegetation block is selected in the first water absorption quantum sequence, and a second target vegetation block is selected in the second water absorption quantum sequence. A correction amount can be obtained by subtracting the predicted soil moisture content of the target plot corresponding to the second target vegetation block from the actual soil moisture content (second target soil moisture content). According to the correction amount and the ratio of the first target water absorption amount of the first target vegetation block to the second target water absorption amount of the first target vegetation block, the soil moisture content corresponding to each water absorption amount in the second water absorption quantum sequence is corrected to obtain the final soil moisture correction content.

[0030] For example, the target water absorption corresponding to the first target vegetation block is 8 ml, and the target soil moisture content of the target plot corresponding to the first target vegetation block is 8 ml / dm 3 .

[0031] The target water absorption corresponding to the second target vegetation block is 8 ml, and the predicted soil moisture content of the target plot corresponding to the second target vegetation block is 80 ml / dm 3 , and the actual soil moisture content is 100ml / dm 3 Then the correction amount is 20 ml / dm 3 .

[0032] At this time, the third vegetation block corresponding to a certain water absorption amount in the second water absorption quantum sequence is obtained. The water absorption amount corresponding to the third vegetation block is 8.5 ml. Then the predicted soil moisture content of the plot corresponding to the third vegetation block is 85 ml / dm 3 The predicted soil moisture content was corrected based on the correction amount, and the final soil moisture correction content was 115 ml / dm 3 .

[0033] In summary, the method of the present application calculates the water absorption of vegetation blocks in each grid, and selects target vegetation blocks based on the size of each water absorption, obtains the target soil moisture content of the target sub-plot in the target grid where the target vegetation block is located, and determines other soil moisture contents corresponding to other water absorptions according to the ratio of the target soil moisture content to the target water absorption, corrects other soil moisture contents according to a preset correction strategy to obtain the final other soil moisture corrected contents, and superimposes the other soil moisture corrected contents with the target soil moisture content to obtain the soil moisture content of a target area, which can more accurately analyze the moisture content in the soil. Compared with the traditional method of dividing the target plot into grids and obtaining the soil moisture content in each grid, it can reduce the workload of the staff.

[0034] See also Figure 2 , which shows a structural block diagram of a soil moisture analysis system based on vegetation water absorption in the present application.

[0035] like Figure 2 As shown, the soil moisture analysis system 200 includes an acquisition module 210 , a division module 220 , a selection module 230 , a determination module 240 and a correction module 250 .

[0036] Among them, the acquisition module 210 is configured to acquire a remote sensing image of the target plot, input the remote sensing image into a preset area division model, and the area division model outputs at least one target area, wherein the vegetation types on each target area are different; the division module 220 is configured to divide a certain target area into at least one grid, wherein a grid contains a sub-plot and a vegetation block planted on the sub-plot; the selection module 230 is configured to calculate the water absorption of the vegetation blocks in each grid, and select the target vegetation block based on the size of each water absorption; the determination module 240 is configured to obtain the target soil moisture content of the target sub-plot in the target grid where the target vegetation block is located, and determine other soil moisture contents corresponding to other water absorptions according to the ratio of the target soil moisture content to the target water absorption, wherein the target water absorption is the water absorption of the target vegetation block; the correction module 250 is configured to correct the other soil moisture content according to a preset correction strategy to obtain the final other soil moisture correction content, and compare the other soil moisture correction content with the target.

[0037] It should be understood that Figure 2 Modules and references documented in Figure 1 Therefore, the operations and features described above for the method and the corresponding technical effects are also applicable to Figure 2 The modules in it will not be described in detail here.

[0038] In some other embodiments, the embodiments of the present invention further provide a computer-readable storage medium having a computer program stored thereon, wherein when the program instructions are executed by a processor, the processor is caused to execute the soil moisture analysis method based on vegetation water absorption in any of the above method embodiments; As an implementation mode, the computer-readable storage medium of the present invention stores computer-executable instructions, and the computer-executable instructions are configured as follows: Acquire a remote sensing image of a target plot, input the remote sensing image into a preset region division model, and output the region division model at least one target region, wherein the vegetation type in each target region is different; Divide a target area into at least one grid, wherein each grid includes a sub-plot and a vegetation block planted on the sub-plot; Calculate the water absorption of vegetation blocks in each grid, and select target vegetation blocks based on the size of each water absorption; Obtaining a target soil moisture content of a target subplot in a target grid where the target vegetation block is located, and determining other soil moisture contents corresponding to other water absorption amounts according to a ratio of the target soil moisture content to the target water absorption amount, wherein the target water absorption amount is the water absorption amount of the target vegetation block; The other soil moisture content is corrected according to a preset correction strategy to obtain a final other soil moisture corrected content, and the other soil moisture corrected content is superimposed on the target soil moisture content to obtain the soil moisture content of the certain target area.

[0039] The computer readable storage medium may include a memory remotely arranged relative to the processor, and the remote memory may be connected to the soil moisture analysis system based on vegetation water absorption through a network. Examples of the above network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0040] Figure 3 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention, such as Figure 3 As shown, the device includes: a processor 310 and a memory 320. The electronic device may also include: an input device 330 and an output device 340. The processor 310, the memory 320, the input device 330 and the output device 340 may be connected via a bus or other means. Figure 3 In the example, the bus connection is used. The memory 320 is the above-mentioned computer-readable storage medium. The processor 310 executes various functional applications and data processing of the server by running the non-volatile software programs, instructions and modules stored in the memory 320, that is, the soil moisture analysis method based on vegetation water absorption of the above-mentioned method embodiment is implemented. The input device 330 can receive input digital or character information, and generate key signal input related to user settings and function control of the soil moisture analysis system based on vegetation water absorption. The output device 340 may include display devices such as display screens.

[0041] The electronic device can execute the method provided by the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not described in detail in this embodiment, please refer to the method provided by the embodiment of the present invention.

[0042] As an implementation mode, the electronic device is applied to a soil moisture analysis system based on vegetation water absorption, and is used for a client, and includes: at least one processor; and a memory connected to the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can: Acquire a remote sensing image of a target plot, input the remote sensing image into a preset region division model, and output the region division model at least one target region, wherein the vegetation type in each target region is different; Divide a target area into at least one grid, wherein each grid includes a sub-plot and a vegetation block planted on the sub-plot; Calculate the water absorption of vegetation blocks in each grid, and select target vegetation blocks based on the size of each water absorption; Obtaining a target soil moisture content of a target subplot in a target grid where the target vegetation block is located, and determining other soil moisture contents corresponding to other water absorption amounts according to a ratio of the target soil moisture content to the target water absorption amount, wherein the target water absorption amount is the water absorption amount of the target vegetation block; The other soil moisture content is corrected according to a preset correction strategy to obtain a final other soil moisture corrected content, and the other soil moisture corrected content is superimposed on the target soil moisture content to obtain the soil moisture content of the certain target area.

[0043] Through the description of the above implementation modes, those skilled in the art can clearly understand that each implementation mode can be implemented by means of software plus a necessary general hardware platform, or of course by hardware. Based on such an understanding, the above technical solution can essentially or in other words be embodied in the form of a software product that contributes to the prior art. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of each embodiment or some parts of the embodiment.

[0044] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A soil moisture analysis method based on vegetation water absorption, characterized in that: include: Acquire a remote sensing image of a target plot, input the remote sensing image into a preset region division model, and output the region division model at least one target region, wherein the vegetation type in each target region is different; Divide a target area into at least one grid, wherein each grid includes a sub-plot and a vegetation block planted on the sub-plot; Calculate the water absorption of vegetation blocks in each grid, and select target vegetation blocks based on the size of each water absorption; Obtaining a target soil moisture content of a target subplot in a target grid where the target vegetation block is located, and determining other soil moisture contents corresponding to other water absorption amounts according to a ratio of the target soil moisture content to the target water absorption amount, wherein the target water absorption amount is the water absorption amount of the target vegetation block; The other soil moisture content is corrected according to a preset correction strategy to obtain a final other soil moisture corrected content, and the other soil moisture corrected content is superimposed on the target soil moisture content to obtain the soil moisture content of the certain target area.

2. The soil moisture analysis method based on vegetation water absorption according to claim 1 is characterized in that: The step of inputting the remote sensing image into a preset region division model, wherein the region division model outputs at least one target region, comprises: Inputting the remote sensing image of the target plot into the region division model, and identifying the grayscale features and texture features in the remote sensing image according to the region division model; Determining whether the grayscale features and texture features in the remote sensing image are successfully matched with preset grayscale features and preset texture features of a certain area type respectively; If successful, the remote sensing image is divided into regions to obtain at least one target region.

3. The soil moisture analysis method based on vegetation water absorption according to claim 1 is characterized in that: in, The expression for calculating the water absorption of vegetation blocks in each grid is: ， In the formula, μ i,j For vegetation blocks i In the grid j The water absorption in D i,j For vegetation blocks i In the grid j The root length density in v j For Grid j The volume of k is the soil depth, Range i,j,k For vegetation blocks i In the grid j Soil Depth k In the range, θ k,j For Grid j At soil depth k The matrix potential in θ k-1,j For Grid j At soil depth k -1 in the matrix potential, D j,k For Grid j At soil depth k The root length density in ρ i,j For vegetation blocks i In the grid j Volume root length density in; ， In the formula, Diameter i,j For vegetation blocks i In the grid j The root diameter in Range i,k For vegetation blocks i At soil depth k in the range.

4. The soil moisture analysis method based on vegetation water absorption according to claim 1 is characterized in that: The selecting of target vegetation blocks based on the water absorption amount includes: Sort the water absorption amounts based on the numerical values ​​to obtain a water absorption amount sequence; Determine whether a numerical change between a first water absorption amount and a second water absorption amount is greater than a preset threshold, wherein the first water absorption amount and the second water absorption amount are two adjacent water absorption amounts; If it is not greater than the preset threshold, the first water absorption amount and the second water absorption amount are used as dividing points to divide the water absorption amount sequence into a first water absorption quantum sequence and a second water absorption quantum sequence, wherein the last water absorption amount in the first water absorption quantum sequence is the first water absorption amount, and the first water absorption amount in the second water absorption quantum sequence is the second water absorption amount; A vegetation block corresponding to the maximum water absorption amount in the first water absorption quantum sequence is selected as a first target vegetation block, and a vegetation block corresponding to a water absorption amount in the second water absorption quantum sequence is arbitrarily selected as a second target vegetation block.

5. The soil moisture analysis method based on vegetation water absorption according to claim 4 is characterized in that: The other soil moisture content is corrected according to the preset correction strategy to obtain the final other soil moisture correction content, which includes: Obtaining a first target soil moisture content of a first target subplot in a target grid where the first target vegetation block is located, and determining a predicted soil moisture content corresponding to a second target water absorption amount of the second target vegetation block according to a ratio of a first target water absorption amount of the first target vegetation block to the first target soil moisture content; Obtaining a second target soil moisture content of the first target subplot in the target grid where the second target vegetation block is located, calculating the difference between the second target soil moisture content and the first target subplot, and obtaining a correction amount; According to the correction amount and the ratio of the first target water absorption amount of the first target vegetation block to the second target water absorption amount of the first target vegetation block, the soil moisture content corresponding to each water absorption amount in the second water absorption quantum sequence is corrected to obtain a final soil moisture correction content.

6. A soil moisture analysis system based on vegetation water absorption, characterized in that: include: An acquisition module is configured to acquire a remote sensing image of a target plot, and input the remote sensing image into a preset region division model, wherein the region division model outputs at least one target region, wherein the vegetation type on each target region is different; A division module is configured to divide a target area into at least one grid, wherein a grid includes a sub-plot and a vegetation block planted on the sub-plot; A selection module is configured to calculate the water absorption of vegetation blocks in each grid and select target vegetation blocks based on the magnitude of each water absorption; a determination module configured to obtain a target soil moisture content of a target subplot in a target grid where the target vegetation block is located, and determine other soil moisture contents corresponding to other water absorption amounts according to a ratio of the target soil moisture content to the target water absorption amount, wherein the target water absorption amount is the water absorption amount of the target vegetation block; The correction module is configured to correct the other soil moisture content according to a preset correction strategy to obtain a final other soil moisture correction content, and superimpose the other soil moisture correction content with the target soil moisture content to obtain the soil moisture content of the certain target area.

7. An electronic device, characterized in that: include: At least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method described in any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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