Soil humidity detection method and system

Abstract

The invention provides a soil humidity detection method and system, and the method comprises the steps: determining the soil water potential of each horizontal sampling point through the soil moisture of each horizontal sampling point, and determining the diffusion attenuation rate of the humidity in a target soil region on the horizontal scale through all soil water potentials and the soil moisture tension on the horizontal scale in the target soil region; determining a sedimentation coefficient of moisture in the target soil area according to the soil moisture of each vertical sampling point, and determining permeation distribution of humidity in the target soil area on the depth scale according to the sedimentation coefficient; performing scale fusion on the attenuation rate of the humidity diffused on the horizontal scale and the permeation distribution on the depth scale to obtain the diffusion gradient of the humidity of the target soil area on the spatial scale; performing confidence humidity detection on the target soil area based on the diffusion gradient of the humidity to obtain a confidence humidity value of the target soil area; by adopting the scheme provided by the invention, multi-scale space detection of the soil humidity can be realized, so that the credible range of soil humidity detection is increased.

Description

Technical Field

[0001] The present application relates to the technical field of ground soil moisture detection, and more specifically, to a soil moisture detection method and system. Background Art

[0002] Soil moisture is an important indicator for measuring soil moisture conditions, which directly affects crop growth and agricultural production benefits. With the intensification of global climate change and the frequent occurrence of extreme climate events, water shortage and agricultural irrigation management problems are becoming increasingly serious. Therefore, the application of accurate soil moisture detection in modern agriculture, environmental monitoring, climate research and other fields has become particularly important.

[0003] The distribution of soil moisture has strong spatial heterogeneity, especially in large-scale farmland, where the humidity in different areas, depths and locations varies significantly. However, in the existing technology, the traditional sensor points are usually limited, and it is difficult to fully and evenly cover the entire soil profile. When detecting soil moisture, the data detected at different locations at the same depth or at different depths at the same location will have certain deviations. Since the humidity data is not representative, the collected humidity values ​​are prone to be biased towards a certain area and cannot truly reflect the overall soil condition, which will affect the judgment of the actual soil moisture, resulting in too much or too little watering for crops in the soil area, affecting the growth efficiency of crops and causing waste of water resources. Therefore, how to achieve multi-scale spatial detection of soil moisture and increase the credible range of soil moisture detection has become a difficult problem faced by the industry. Summary of the invention

[0004] The present application provides a soil moisture detection method and system, which can realize multi-scale spatial detection of soil moisture, thereby increasing the credible range of soil moisture detection.

[0005] In a first aspect, the present application provides a soil moisture detection method, comprising the following steps: Collect soil moisture at each horizontal sampling point in the target soil area; Based on the collected soil moisture, each horizontal sampling point is quantitatively analyzed to obtain the soil water potential of each horizontal sampling point. The attenuation rate of moisture diffusion in the target soil area on the horizontal scale is determined through all the soil water potentials and the soil moisture tension on the horizontal scale in the target soil area. Collecting soil moisture at each vertical sampling point in the target soil area, and then determining the sedimentation coefficient of moisture in the target soil area from the soil moisture at each vertical sampling point, and determining the penetration distribution of moisture in the target soil area on a depth scale based on the sedimentation coefficient and the pore structure of the target soil area; The attenuation rate of the humidity diffusion on the horizontal scale and the penetration distribution of the humidity on the depth scale are scale-fused to obtain the diffusion gradient of the humidity in the target soil area on the spatial scale; The humidity of the target soil area is detected based on the diffusion gradient of the humidity to obtain a confidence humidity value of the target soil area.

[0006] In some embodiments, quantitative analysis is performed on each horizontal sampling point based on the collected soil moisture to obtain the soil water potential of each horizontal sampling point, specifically including: Initialize the soil moisture quantitative model; Select a horizontal sampling point as the selected horizontal sampling point; Based on the soil moisture quantitative model, the soil moisture collected at the selected horizontal sampling point is converted into the soil water potential at the selected horizontal sampling point; Continue to determine the soil water potential at the remaining horizontal sampling points.

[0007] In some embodiments, determining the attenuation rate of moisture diffusion in the target soil region on a horizontal scale by using all soil water potentials and soil water tension in the target soil region on a horizontal scale specifically includes: Determine the water potential distribution map in the horizontal direction of the target soil area through all soil water potentials; determining a horizontal diffusion coefficient of water in a target soil region based on the water potential distribution map; Determine soil water tension on a horizontal scale in the target soil area; The attenuation rate of moisture diffusion on a horizontal scale in a target soil area is determined according to the horizontal diffusion coefficient and the soil moisture tension.

[0008] In some embodiments, determining the sedimentation coefficient of water in the target soil area from the soil water content at each vertical sampling point specifically includes: Determine the soil moisture-time variation curve of the target soil area in vertical depth based on the soil moisture of all vertical sampling points; The sedimentation coefficient of water in the target soil area is determined by the soil water content-time variation curve.

[0009] In some embodiments, determining the penetration distribution of moisture in the target soil region on a depth scale based on the sedimentation coefficient and the pore structure of the target soil region specifically includes: Obtain pore structure characteristics of target soil area; Determining the influencing factor of soil moisture penetration in the target soil area through the pore structure characteristics; The penetration distribution of moisture in the target soil area on a depth scale is determined by the influencing factor and the sedimentation coefficient.

[0010] In some embodiments, performing confidence detection on the humidity of the target soil area based on the diffusion gradient of the humidity to obtain a confidence humidity value of the target soil area specifically includes: selecting a plurality of confidence detection points in the target soil region according to the diffusion gradient of the moisture; Determine the confidence humidity value of the target soil area through the humidity values ​​collected from all confidence detection points; The confidence humidity value is output as a humidity detection result of the target soil area.

[0011] In some embodiments, soil moisture at each horizontal sampling point in the target soil area is collected by a soil moisture sensor.

[0012] In a second aspect, the present application provides a soil moisture detection system, comprising: A collection module, used to collect soil moisture at each horizontal sampling point in the target soil area; A processing module is used to quantitatively analyze each horizontal sampling point based on the collected soil moisture, obtain the soil water potential of each horizontal sampling point, and determine the attenuation rate of moisture diffusion in the target soil area on the horizontal scale through all soil water potentials and soil moisture tension on the horizontal scale in the target soil area; The processing module is further used to collect soil moisture at each vertical sampling point in the target soil area, and then determine the sedimentation coefficient of moisture in the target soil area based on the soil moisture at each vertical sampling point, and determine the penetration distribution of moisture in the target soil area on a depth scale based on the sedimentation coefficient and the pore structure of the target soil area; The processing module is further used to scale-fuse the attenuation rate of the humidity diffusion on the horizontal scale and the penetration distribution of the humidity on the depth scale to obtain the diffusion gradient of the humidity in the target soil area on the spatial scale; The execution module is used to perform confidence detection on the humidity of the target soil area based on the diffusion gradient of the humidity to obtain a confidence humidity value of the target soil area.

[0013] In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the above-mentioned soil moisture detection method.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium, in which instructions or codes are stored. When the instructions or codes are run on a computer, the computer implements the above-mentioned soil moisture detection method when executed.

[0015] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects: In the present application, soil moisture at each horizontal sampling point in the target soil area is collected; based on the collected soil moisture, each horizontal sampling point is quantitatively analyzed to obtain the soil water potential of each horizontal sampling point, and the attenuation rate of the diffusion of moisture in the target soil area on the horizontal scale is determined by all the soil water potentials and the soil moisture tension on the horizontal scale in the target soil area; the soil moisture at each vertical sampling point in the target soil area is collected, and then the sedimentation coefficient of moisture in the target soil area is determined from the soil moisture at each vertical sampling point, and the penetration distribution of moisture in the target soil area on the depth scale is determined according to the sedimentation coefficient and the pore structure of the target soil area; the attenuation rate of the diffusion of moisture on the horizontal scale and the penetration distribution of moisture on the depth scale are scale-fused to obtain the diffusion gradient of moisture in the target soil area on the spatial scale; the moisture in the target soil area is confidence-checked based on the diffusion gradient of the moisture to obtain the confidence moisture value of the target soil area.

[0016] It can be seen that in this application, firstly, by collecting soil moisture at multiple horizontal sampling points and vertical sampling points in the target soil area, the distribution of soil moisture in the horizontal and vertical directions can be captured more comprehensively, so as to overcome the data bias towards a certain local area caused by insufficient sensor deployment; furthermore, by determining the attenuation rate of moisture diffusion in the target soil area on a horizontal scale through the soil water potential at each horizontal sampling point, the law of soil moisture change with horizontal position can be understood, so as to be able to evaluate the expansion process of soil moisture on a horizontal scale as a whole, thereby avoiding the local deviation caused by reliance on a single sampling point; secondly, by determining the sedimentation coefficient of moisture in the target soil area based on the soil moisture at each vertical sampling point, the law of soil moisture change in the depth direction can be quantified; furthermore, by combining the sedimentation coefficient and the soil pore structure, the infiltration distribution of moisture in the target soil area on a depth scale can be determined. It can better understand the propagation mechanism of soil moisture in the vertical direction to reduce the error caused by relying only on shallow data; then, the attenuation rate of the humidity diffusion on the horizontal scale and the penetration distribution of the humidity on the depth scale are scale-fused to obtain the diffusion gradient of humidity in the target soil area on the spatial scale, which can more truly reflect the humidity state of the entire target soil area, avoid data deviation caused by sampling at a single scale, and ensure that the humidity detection results are more accurate and reliable; finally, based on the diffusion gradient of the humidity, the confidence humidity detection is performed to ensure that the confidence humidity data of the target soil area at each level and each depth in the spatial scale are effectively integrated to eliminate data errors, thereby improving the credibility of the final soil moisture detection results; in summary, this scheme can realize multi-scale spatial detection of soil moisture, thereby increasing the credibility range of soil moisture detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0018] Figure 1 is an exemplary flow chart of a soil moisture detection method according to some embodiments of the present application; Figure 2 is a schematic diagram of the layout of sampling points according to some embodiments of the present application; Figure 3 is an exemplary flow chart of determining a permeation distribution according to some embodiments of the present application; Figure 4 is a structural schematic diagram of a soil moisture detection system according to some embodiments of the present application; Figure 5 It is a structural schematic diagram of a computer device for implementing a soil moisture detection method according to some embodiments of the present application. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0020] In order to better understand the technical solution of the present application, the technical solution of the present application will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0021] refer to Figure 1 , which is an exemplary flow chart of a soil moisture detection method according to some embodiments of the present application. The soil moisture detection method 100 mainly includes the following steps: In step 101, soil moisture at each horizontal sampling point in a target soil area is collected.

[0022] It should be noted that the horizontal sampling points in the present application are sampling points arranged in the horizontal direction of the target soil area according to the specified horizontal interval distance, wherein the specified horizontal interval distance can be set based on the moisture change characteristics of different soil types (such as sand, loam, clay), for example: sand usually has a faster moisture change, so a smaller horizontal interval distance (such as 1-3 meters) can be set; while the moisture change of clay is slower, the horizontal interval distance can be appropriately increased (such as 5-10 meters), which will not be repeated here.

[0023] refer to Figure 2 As shown, this figure is a schematic diagram of the layout of sampling points in some embodiments of the present application.

[0024] In specific implementation, the soil moisture at each horizontal sampling point can be collected by a soil moisture sensor or sampler, and the position of each horizontal sampling point and the sampling time of the soil moisture can be recorded. Other methods can also be used in other embodiments, which are not specifically limited here.

[0025] In step 102, each horizontal sampling point is quantitatively analyzed based on the collected soil moisture to obtain the soil water potential of each horizontal sampling point, and the attenuation rate of the diffusion of moisture in the target soil area on the horizontal scale is determined through all the soil water potentials and the soil moisture tension on the horizontal scale in the target soil area.

[0026] In some embodiments, quantitative analysis of each horizontal sampling point is performed based on the collected soil moisture, and the soil water potential of each horizontal sampling point can be obtained by the following steps: Initialize the soil moisture quantitative model; Select a horizontal sampling point as the selected horizontal sampling point; Based on the soil moisture quantitative model, the soil moisture collected at the selected horizontal sampling point is converted into the soil water potential at the selected horizontal sampling point; Continue to determine the soil water potential at the remaining horizontal sampling points.

[0027] It should be noted that the soil moisture quantitative model in the present application is a model for converting soil moisture into soil water potential. As a preferred embodiment, the soil moisture quantitative model can be established through deep learning based on the soil moisture characteristic curve (for example, the relationship between soil water potential and soil moisture content, Van Genuchten model). In other embodiments, it can also be determined by other methods, which is not limited here.

[0028] In specific implementation, converting the soil moisture collected corresponding to the selected horizontal sampling point into the soil water potential of the selected horizontal sampling point based on the soil moisture quantitative model can be achieved in the following manner, namely: after initializing the soil moisture quantitative model, the soil moisture collected corresponding to the selected horizontal sampling point is used as the input of the soil moisture quantitative model, and the output result is used as the soil water potential of the selected horizontal sampling point. Other methods may also be used in other embodiments, which are not limited here.

[0029] It should be noted that the soil water potential in the present application reflects the moisture energy level of the soil at the horizontal sampling point. The larger the value of the soil water potential, the higher the moisture energy of the soil at the horizontal sampling point, and the smaller the value of the soil water potential, the lower the moisture energy of the soil at the horizontal sampling point.

[0030] In some embodiments, determining the attenuation rate of moisture diffusion in the target soil region on the horizontal scale by using all soil water potentials and soil water tension in the target soil region on the horizontal scale can be achieved by using the following steps: Determine the water potential distribution map in the horizontal direction of the target soil area through all soil water potentials; determining a horizontal diffusion coefficient of water in a target soil region based on the water potential distribution map; Determine soil water tension on a horizontal scale in the target soil area; The attenuation rate of moisture diffusion on a horizontal scale in a target soil area is determined according to the horizontal diffusion coefficient and the soil moisture tension.

[0031] In specific implementation, the water potential distribution map in the present application reflects the differential distribution of water potentials at each horizontal sampling point in the target soil area. The water potential distribution map in the horizontal direction of the target soil area determined by all soil water potentials can be implemented in the following manner, namely: an interpolation algorithm (such as Kriging interpolation, inverse distance weighted interpolation) can be used to generate a water potential distribution map in the horizontal direction of the target soil area based on all soil water potentials. In other embodiments, other methods can also be used for determination, which is not limited here; the horizontal diffusion coefficient of water in the target soil area based on the water potential distribution map can be determined in the following manner, namely: the water potential gradient between adjacent horizontal sampling points in the water potential distribution map (that is, the ratio of the soil water potential between adjacent horizontal sampling points to the distance between adjacent horizontal sampling points) can be calculated by the regional averaging method, and the average value of all water potential gradients obtained is used as the horizontal diffusion coefficient of water in the target soil area. In other embodiments, other methods can also be used for determination, which is not limited here.

[0032] It should be noted that the horizontal diffusion coefficient in the present application characterizes the diffusion ability of soil moisture in the horizontal direction. The larger the horizontal diffusion coefficient, the stronger the diffusion ability of soil moisture in the horizontal direction, and the smaller the horizontal diffusion coefficient, the weaker the diffusion ability of soil moisture in the horizontal direction.

[0033] In specific implementation, the soil moisture tension represents the resistance to soil moisture being maintained or prevented from diffusing in the horizontal direction. The soil moisture tension on the horizontal scale in the target soil area can be determined in the following manner, namely: the water retention capacity of soil particles can be estimated by relevant experts based on the moisture content, porosity and soil texture of the target soil area, and the obtained result is used as the soil moisture tension on the horizontal scale in the target soil area. In other embodiments, other methods can also be used for determination, which is not limited here; determining the attenuation rate of the diffusion of moisture in the target soil area on the horizontal scale based on the horizontal diffusion coefficient and the soil moisture tension can be achieved in the following manner, namely: the product value of the horizontal diffusion coefficient and the soil moisture tension can be used as the attenuation rate of the diffusion of moisture in the target soil area on the horizontal scale. In other embodiments, other methods can also be used for determination, which is not limited here.

[0034] It should be noted that the attenuation rate of humidity diffusion on the horizontal scale in this application reflects the diffusion trend of soil moisture in the horizontal direction. Therefore, the diffusion potential can reveal the lateral diffusion capacity of moisture in the target soil area, so as to understand the uniformity of moisture on the soil surface, which will not be repeated here.

[0035] In step 103, soil moisture at each vertical sampling point in the target soil area is collected, and then the sedimentation coefficient of moisture in the target soil area is determined based on the soil moisture at each vertical sampling point, and the penetration distribution of moisture in the target soil area on a depth scale is determined based on the sedimentation coefficient and the pore structure of the target soil area.

[0036] It should be noted that the vertical sampling points in the present application are sampling points arranged at a specified vertical interval within the depth range of the target soil area, wherein the specified vertical interval can be set according to the heterogeneity of the soil, the crop type and the growth characteristics. For soil areas with large heterogeneity, the vertical interval should be appropriately reduced. If it is a large area of ​​farmland and the distribution of crops is relatively uniform, the vertical interval can be appropriately increased; if it is a small, more concentrated crop area, the vertical interval can be appropriately reduced. In other embodiments, other methods can also be used for setting, which is not limited here; in addition, the depth range for sampling in the vertical direction of the target soil area can be set based on the root growth depth of the crops planted in the target soil area and the properties of the soil layer. Generally, three depth levels of 0-10cm, 10-30cm, and 30-50cm are set to ensure that different depths of the root zone in the target soil area are covered. In other embodiments, if the soil is deeper and irrigation is required, the depth range can be extended to 60cm-100cm, which will not be repeated here.

[0037] In specific implementation, the soil moisture at each vertical sampling point can be collected through the existing time domain reflection sensor, and the depth position of each vertical sampling point and the sampling time of the collected soil moisture can be recorded. In other embodiments, other methods can also be used for collection, which is not limited here.

[0038] In some embodiments, determining the sedimentation coefficient of water in the target soil area from the soil water content at each vertical sampling point can be achieved by the following steps: Determine the soil moisture-time variation curve of the target soil area in vertical depth based on the soil moisture of all vertical sampling points; The sedimentation coefficient of water in the target soil area is determined by the soil water content-time variation curve.

[0039] In specific implementation, the soil moisture-time variation curve reflects the variation trend of moisture in the target soil area in the vertical depth direction over time. The soil moisture-time variation curve of the target soil area in the vertical depth based on the soil moisture of all vertical sampling points can be determined in the following manner, namely: the soil moisture-time variation curve of the target soil area in the vertical depth can be drawn based on the soil moisture of all vertical sampling points and the corresponding sampling time through the Python matplotlib library. In other embodiments, other methods can also be used for determination, which is not limited here; the sedimentation coefficient of moisture in the target soil area determined by the soil moisture-time variation curve can be implemented in the following manner, namely: an attenuation model (such as exponential attenuation) can be used to fit the soil moisture reduction rate over time based on the soil moisture-time variation curve to obtain the rate of moisture penetration from the surface layer to the deep layer in the target soil area, and then the obtained rate is used as the sedimentation coefficient of moisture in the target soil area. In other embodiments, other methods can also be used for determination, which is not limited here.

[0040] It should be noted that the sedimentation coefficient in the present application reflects the migration ability of moisture inside the target soil area in the vertical direction. The larger the sedimentation coefficient, the stronger the migration ability of moisture inside the target soil area in the vertical direction, and the smaller the sedimentation coefficient, the weaker the migration ability of moisture inside the target soil area in the vertical direction.

[0041] In some embodiments, reference Figure 3 As shown, this figure is an exemplary flow chart for determining the permeability distribution in some embodiments of the present application. In this embodiment, the permeability distribution of moisture in the target soil area on a depth scale is determined based on the sedimentation coefficient and the pore structure of the target soil area, which can be achieved by the following steps: First, in step 1031, the pore structure characteristics of the target soil area are obtained; Next, in step 1032, the influencing factor of soil moisture penetration in the target soil region is determined by the pore structure characteristics; Finally, in step 1033, the penetration distribution of moisture in the target soil area on a depth scale is determined based on the influencing factor and the sedimentation coefficient.

[0042] In specific implementation, the pore structure characteristics of the target soil area can be obtained in the following manner, namely: the pore structure characteristics of the target soil area can be obtained by X-ray computed tomography (CT scanning), electron microscope imaging or penetration testing. The pore structure characteristics include structural factors such as pore size distribution, pore morphology (such as round, long strip, etc.), pore connectivity and pore volume fraction. In other embodiments, representative pore structure characteristic parameters in the target soil area can also be obtained by combining on-site soil sampling with laboratory analysis, which will not be repeated here.

[0043] In specific implementation, the influencing factor reflects the degree of influence of the pore structure of the target soil area on the water penetration rate at different depths. The influencing factor of soil water penetration in the target soil area determined by the pore structure characteristics can be implemented in the following manner, namely: the penetration effect of each structural factor in the pore structure characteristics can be calculated by an empirical formula or based on a soil physical model (such as Darcy's law), and then the degree of influence of the pore structure of the target soil area on the water penetration rate at different depths is evaluated based on all the penetration effects, and the obtained result is used as the influencing factor of soil water penetration in the target soil area; the infiltration distribution of moisture in the target soil area on the depth scale is determined by the influencing factor and the sedimentation coefficient, which can be implemented in the following manner, namely: the infiltration rate of moisture at different depths in the target soil area can be obtained by multiplying the influencing factor by the sedimentation coefficient through an analytical model, and then all the moisture penetration rates can be composed of the infiltration distribution of moisture in the target soil area on the depth scale, wherein the analytical model is a model based on physical principles and mathematical methods, such as Darcy's law, to describe the movement of moisture in the soil in the target soil area. In other embodiments, other methods can also be used for determination, which is not limited here.

[0044] It should be noted that the permeability distribution in the present application reflects the degree of water penetration at different depths in the target soil area. Therefore, the migration law of water at different depths can be understood through the permeability distribution, so as to understand the layer-by-layer diffusion of water in the soil profile.

[0045] In step 104, the attenuation rate of the humidity diffusion on the horizontal scale and the penetration distribution of the humidity on the depth scale are scale-fused to obtain the diffusion gradient of the humidity in the target soil area on the spatial scale.

[0046] In some embodiments, the attenuation rate of the humidity diffusion on the horizontal scale and the penetration distribution of the humidity on the depth scale are scale-fused to obtain the diffusion gradient of the humidity in the target soil area on the spatial scale, which can be achieved by the following steps: The attenuation rate of the humidity diffusion on the horizontal scale and the penetration distribution of the humidity on the depth scale are uniformly scaled according to the spatial coordinates to obtain the diffusion vector of the humidity in the target soil area in each spatial direction; All diffusion vectors are fused into the diffusion gradient of moisture in the target soil area at the spatial scale.

[0047] In specific implementation, the diffusion vector represents the direction and rate of humidity diffusion. Through the diffusion vector, the migration trend and intensity of soil moisture in the target soil area in different spatial directions can be understood. The attenuation rate of the humidity diffusion on the horizontal scale and the penetration distribution of the humidity on the depth scale are uniformly scaled according to the spatial coordinates to obtain the diffusion vector of the humidity in the target soil area in each spatial direction. This can be achieved in the following way, namely: the attenuation rate of the humidity diffusion on the horizontal scale and the penetration distribution of the humidity on the depth scale can be uniformly mapped to the three-dimensional spatial coordinates of the target soil area through (three-dimensional grid modeling), and then the gradient method is used according to the diffusion potential energy. The diffusion vector at each coordinate point in the three-dimensional space calculated by the permeability distribution is used to obtain the diffusion vector of the moisture in the target soil area in each spatial direction. Other methods can also be used to determine it in other embodiments, which are not limited here. The fusion of all diffusion vectors into a diffusion gradient of moisture in the target soil area on a spatial scale can be achieved in the following manner, namely: all diffusion vectors can be synthesized into the comprehensive diffusion intensity and flow direction of moisture in each direction through a weighted average fusion algorithm, and the fusion result is used as the diffusion gradient of moisture in the target soil area on a spatial scale. Other methods can also be used to determine it in other embodiments, which are not limited here.

[0048] It should be noted that the diffusion gradient of humidity in the present application reflects the diffusion characteristics of humidity in different directions in the target soil area. Through the diffusion gradient, the degree and direction of change of soil humidity in the target soil area in the horizontal and vertical directions can be understood, so as to understand the changing trend of soil humidity in the target soil area, which will not be repeated here.

[0049] In step 105, a confidence detection is performed on the humidity of the target soil area based on the diffusion gradient of the humidity to obtain a confidence humidity value of the target soil area.

[0050] In some embodiments, the humidity of the target soil area is detected based on the diffusion gradient of the humidity, and the confidence humidity value of the target soil area is obtained by the following steps: selecting a plurality of confidence detection points in the target soil region according to the diffusion gradient of the moisture; Determine the confidence humidity value of the target soil area through the humidity values ​​collected from all confidence detection points; The confidence humidity value is output as a humidity detection result of the target soil area.

[0051] In specific implementation, first, a deep reinforcement learning algorithm can be used to search for location points with obvious humidity changes and location points with relatively uniform humidity in the target soil area based on the diffusion gradient of the humidity, and then all the location points obtained by the search are used as confidence detection points in the target soil area. Then, the humidity value of each confidence detection point is collected by a soil moisture sensor to comprehensively collect the spatial humidity distribution data in the target soil area. Then, the confidence humidity value of the target soil area can be calculated based on the humidity values ​​collected from all confidence detection points through an existing comprehensive statistical analysis algorithm to integrate the humidity data of each confidence detection point, wherein the statistical estimation algorithm, for example, mean estimation or weighted average algorithm, can also be determined by other methods in other embodiments, which are not limited here. Finally, the confidence humidity value is output as the humidity detection result of the target soil area, and the humidity detection of the target soil area is completed.

[0052] It should be noted that the confidence detection points in the present application are representative sampling points selected in the target soil area, which can represent the moisture distribution of the target soil area to the greatest extent and provide a diverse data basis for the calculation of the confidence humidity value; in addition, the confidence humidity value reflects the reliable humidity level in the target soil area, which provides reliable humidity basic data for regional water management and irrigation optimization, and helps to make reasonable irrigation or drainage decisions in practical applications, avoiding waste of resources or management errors due to inaccurate humidity data.

[0053] In some embodiments, through the moisture detection results of the target soil area, that is, the confidence moisture value of the target soil area, farmers or agricultural managers can understand the spatial distribution of soil moisture, and then reasonably arrange the amount of watering for crops in the target soil area to optimize irrigation decisions, for example, increase irrigation in areas with insufficient moisture, and reduce irrigation or avoid excessive irrigation in areas with more moisture, thereby saving water resources and increasing crop yields.

[0054] In addition, in another aspect of the present application, in some embodiments, the present application provides a soil moisture detection system, referring to Figure 4 , which is a structural schematic diagram of a soil moisture detection system according to some embodiments of the present application, the soil moisture detection system 400 includes: a collection module 401, a processing module 402 and an execution module 403, which are described as follows: Collection module 401, in this application, the collection module 401 is mainly used to collect soil moisture at each horizontal sampling point in the target soil area; Processing module 402, in the present application, the processing module 402 is mainly used to perform quantitative analysis on each horizontal sampling point based on the collected soil moisture, obtain the soil water potential of each horizontal sampling point, and determine the attenuation rate of the diffusion of moisture in the target soil area on the horizontal scale through all the soil water potentials and the soil moisture tension on the horizontal scale in the target soil area; The processing module 402 in the present application is also used to collect soil moisture at each vertical sampling point in the target soil area, and then determine the sedimentation coefficient of moisture in the target soil area from the soil moisture at each vertical sampling point, and determine the penetration distribution of moisture in the target soil area on a depth scale based on the sedimentation coefficient and the pore structure of the target soil area; The processing module 402 in the present application is also used to scale-fuse the attenuation rate of the humidity diffusion on the horizontal scale and the penetration distribution of the humidity on the depth scale to obtain the diffusion gradient of the humidity in the target soil area on the spatial scale; Execution module 403, in the present application, the execution module 403 is mainly used to perform confidence detection on the humidity of the target soil area based on the diffusion gradient of the humidity, and obtain the confidence humidity value of the target soil area.

[0055] The above describes in detail the examples of the soil moisture detection method and system provided by the embodiments of the present application. It can be understood that the corresponding device includes hardware structures and / or software modules corresponding to the execution of each function in order to realize the above functions. It should be easily appreciated by those skilled in the art that, in combination with the units and algorithm steps of each example described in the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0056] In some embodiments, the present application also provides a computer device, which includes a memory and a processor, the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the above-mentioned soil moisture detection method.

[0057] In some embodiments, reference Figure 5 , the dotted line in the figure indicates that the unit or the module is optional, and the figure is a schematic diagram of the structure of a computer device for implementing the soil moisture detection method of the present application. The soil moisture detection method in the above embodiment can be Figure 5The computer device 500 shown in the figure is implemented, and the computer device 500 includes at least one processor 501, a memory 502 and at least one communication unit 505. The computer device 500 can be a terminal device, a server or a chip.

[0058] The processor 501 may be a general-purpose processor or a special-purpose processor. For example, the processor 501 may be a central processing unit (CPU), which may be used to control the computer device 500, execute software programs, and process data of the software programs. The computer device 500 may also include a communication unit 505 to implement signal input (reception) and output (transmission).

[0059] For example, the computer device 500 may be a chip, the communication unit 505 may be an input and / or output circuit of the chip, or the communication unit 505 may be a communication interface of the chip, and the chip may be a component of a terminal device, a network device, or other devices.

[0060] For another example, the computer device 500 may be a terminal device or a server, and the communication unit 505 may be a transceiver of the terminal device or the server, or the communication unit 505 may be a transceiver circuit of the terminal device or the server.

[0061] The computer device 500 may include one or more memories 502, on which a program 504 is stored. The program 504 can be executed by the processor 501 to generate instructions 503, so that the processor 501 performs the method described in the above method embodiment according to the instructions 503. Optionally, data (such as a target audit model) can also be stored in the memory 502. Optionally, the processor 501 can also read the data stored in the memory 502, and the data can be stored at the same storage address as the program 504, or the data can be stored at a different storage address from the program 504.

[0062] The processor 501 and the memory 502 may be provided separately or integrated together, for example, integrated on a system on chip (SOC) of the terminal device.

[0063] It should be understood that each step of the above method embodiment can be completed by a hardware-based logic circuit or software-based instructions in the processor 501. The processor 501 can be a CPU, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, such as discrete gates, transistor logic devices, or discrete hardware components.

[0064] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0065] For example, in some embodiments, the present application also provides a computer-readable storage medium, in which instructions or codes are stored. When the instructions or codes are run on a computer, the computer implements the above-mentioned soil moisture detection method when executing.

[0066] In summary, in the soil moisture detection method and system disclosed in the embodiment of the present application, soil moisture at each horizontal sampling point in the target soil area is collected; based on the collected soil moisture, each horizontal sampling point is quantitatively analyzed to obtain the soil water potential at each horizontal sampling point, and the attenuation rate of the diffusion of moisture in the target soil area on the horizontal scale is determined by all the soil water potentials and the soil moisture tension on the horizontal scale in the target soil area; the soil moisture at each vertical sampling point in the target soil area is collected, and then the sedimentation coefficient of the moisture in the target soil area is determined by the soil moisture at each vertical sampling point, and the penetration distribution of moisture in the target soil area on the depth scale is determined according to the sedimentation coefficient and the pore structure of the target soil area; the attenuation rate of the diffusion of moisture on the horizontal scale and the penetration distribution of moisture on the depth scale are scale-fused to obtain the diffusion gradient of moisture in the target soil area on the spatial scale; the moisture in the target soil area is confidence-detected based on the diffusion gradient of the moisture to obtain the confidence moisture value of the target soil area; multi-scale spatial detection of soil moisture can be achieved, thereby increasing the credible range of soil moisture detection.

[0067] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0068] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A soil moisture detection method, characterized in that: The steps include: Collect soil moisture at each horizontal sampling point in the target soil area; Based on the collected soil moisture, each horizontal sampling point is quantitatively analyzed to obtain the soil water potential of each horizontal sampling point; Collecting soil moisture at each vertical sampling point in the target soil area, and then determining the sedimentation coefficient of moisture in the target soil area from the soil moisture at each vertical sampling point, and determining the penetration distribution of moisture in the target soil area on a depth scale based on the sedimentation coefficient and the pore structure of the target soil area; The soil water potential of each horizontal sampling point and the infiltration distribution of the humidity at the depth scale are scale-fused to obtain the diffusion gradient of the humidity in the target soil area at the spatial scale; The humidity of the target soil area is detected based on the diffusion gradient of the humidity to obtain a confidence humidity value of the target soil area.

2. The method according to claim 1, characterized in that Based on the collected soil moisture, each horizontal sampling point is quantitatively analyzed to obtain the soil water potential of each horizontal sampling point, including: Initialize the soil moisture quantitative model; Select a horizontal sampling point as the selected horizontal sampling point; Based on the soil moisture quantitative model, the soil moisture collected at the selected horizontal sampling point is converted into the soil water potential at the selected horizontal sampling point; Continue to determine the soil water potential at the remaining horizontal sampling points.

3. The method according to claim 1, characterized in that The sedimentation coefficient of water in the target soil area is determined by the soil moisture at each vertical sampling point, including: Determine the soil moisture-time variation curve of the target soil area in vertical depth based on the soil moisture of all vertical sampling points; The sedimentation coefficient of water in the target soil area is determined by the soil water content-time variation curve.

4. The method according to claim 1, characterized in that Determining the penetration distribution of moisture in the target soil area on a depth scale based on the sedimentation coefficient and the pore structure of the target soil area specifically includes: Obtain pore structure characteristics of target soil area; Determining the influencing factor of soil moisture penetration in the target soil area through the pore structure characteristics; The penetration distribution of moisture in the target soil area on a depth scale is determined by the influencing factor and the sedimentation coefficient.

5. The method according to claim 1, characterized in that The soil water potential at each horizontal sampling point and the infiltration distribution of the humidity at the depth scale are scale-fused to obtain the diffusion gradient of the humidity in the target soil area at the spatial scale, which specifically includes: Determine the attenuation rate of moisture diffusion in the target soil area on the horizontal scale through all soil water potentials and soil water tension in the target soil area on the horizontal scale; The attenuation rate of the humidity diffusion on the horizontal scale and the penetration distribution of the humidity on the depth scale are uniformly scaled according to the spatial coordinates to obtain the diffusion vector of the humidity in the target soil area in each spatial direction; All diffusion vectors are fused into the diffusion gradient of moisture in the target soil area at the spatial scale.

6. The method according to claim 1, characterized in that The confidence detection of the humidity of the target soil area is performed based on the diffusion gradient of the humidity to obtain the confidence humidity value of the target soil area, specifically including: selecting a plurality of confidence detection points in the target soil region according to the diffusion gradient of the moisture; Determine the confidence humidity value of the target soil area through the humidity values ​​collected from all confidence detection points; The confidence humidity value is output as a humidity detection result of the target soil area.

7. The method according to claim 1, characterized in that The soil moisture at each horizontal sampling point in the target soil area is collected by a soil moisture sensor.

8. A soil moisture detection system, characterized in that: include: A collection module, used to collect soil moisture at each horizontal sampling point in the target soil area; A processing module is used to perform quantitative analysis on each horizontal sampling point based on the collected soil moisture to obtain the soil water potential of each horizontal sampling point; The processing module is further used to collect soil moisture at each vertical sampling point in the target soil area, and then determine the sedimentation coefficient of moisture in the target soil area based on the soil moisture at each vertical sampling point, and determine the penetration distribution of moisture in the target soil area on a depth scale based on the sedimentation coefficient and the pore structure of the target soil area; The processing module is also used to scale-fuse the soil water potential of each horizontal sampling point and the infiltration distribution of the humidity at the depth scale to obtain the diffusion gradient of the humidity in the target soil area at the spatial scale; The execution module is used to perform confidence detection on the humidity of the target soil area based on the diffusion gradient of the humidity to obtain a confidence humidity value of the target soil area.

Images