A soil moisture detection method and system

Abstract

The application provides a soil humidity detection method and system, soil water potential of each horizontal sampling point is determined through soil moisture of each horizontal sampling point, the attenuation rate of humidity diffusion in the horizontal scale in the target soil region is determined through all soil water potentials and soil moisture tension in the horizontal scale in the target soil region; the settlement coefficient of moisture in the target soil region is determined through soil moisture of each vertical sampling point, the penetration distribution of humidity in the depth scale in the target soil region is determined according to the settlement coefficient; the attenuation rate of humidity diffusion in the horizontal scale and the penetration distribution in the depth scale are fused in scale, and the diffusion gradient of humidity in the spatial scale in the target soil region is obtained; the target soil region is detected in confidence humidity based on the diffusion gradient of humidity, and the confidence humidity value of the target soil region is obtained; the application can realize multi-scale spatial detection of soil humidity, thereby increasing the credible range of soil humidity detection.

Description

Technical Field

[0001] This application relates to the field of ground soil moisture detection technology, and more specifically, to a soil moisture detection method and system. Background Technology

[0002] Soil moisture is a crucial indicator of soil moisture status, directly impacting crop growth and agricultural productivity. With intensifying global climate change and frequent extreme weather events, water scarcity and agricultural irrigation management issues are becoming increasingly severe. Therefore, accurate soil moisture monitoring is of paramount importance in modern agriculture, environmental monitoring, and climate research.

[0003] Soil moisture distribution exhibits strong spatial heterogeneity, especially in large-scale farmland, where moisture differences are significant across different areas, depths, and locations. However, in existing technologies, traditional sensor deployment is typically limited, making it difficult to comprehensively and uniformly cover the entire soil profile. When detecting soil moisture, data from different locations at the same depth or at different depths at the same location will show some deviation. Because the moisture data is not representative, the collected moisture values ​​are prone to bias towards a certain area and cannot truly reflect the overall soil condition. This can affect the judgment of actual soil moisture, leading to over- or under-watering of crops in the soil area, affecting crop growth efficiency and wasting water resources. Therefore, how to achieve multi-scale spatial detection of soil moisture to increase the reliability of soil moisture detection has become a challenge for the industry. Summary of the Invention

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

[0005] In a first aspect, this application provides a method for detecting soil moisture, comprising the following steps:

[0006] Collect soil moisture at various horizontal sampling points in the target soil area;

[0007] Based on the collected soil moisture, quantitative analysis was performed on each horizontal sampling point to obtain the soil water potential of each horizontal sampling point. The attenuation rate of moisture diffusion on the horizontal scale in the target soil area was determined by all soil water potentials and soil moisture tension on the horizontal scale in the target soil area.

[0008] Soil moisture is collected at each vertical sampling point in the target soil area, and the sedimentation coefficient of moisture in the target soil area is determined by the soil moisture at each vertical sampling point. Based on the sedimentation coefficient and the pore structure of the target soil area, the infiltration distribution of moisture in the target soil area at the depth scale is determined.

[0009] The attenuation rate of the humidity diffusion on the horizontal scale and the infiltration distribution of the humidity on the depth scale are fused to obtain the humidity diffusion gradient of the target soil area on the spatial scale.

[0010] The humidity of the target soil area is confidently detected based on the humidity diffusion gradient to obtain the confidence humidity value of the target soil area.

[0011] In some embodiments, quantitative analysis is performed on each horizontal sampling point based on the collected soil moisture to obtain the soil water potential at each horizontal sampling point, specifically including:

[0012] Initialize the soil moisture quantitative model;

[0013] Select a horizontal sampling point as the selected horizontal sampling point;

[0014] Based on the soil moisture quantitative model, the soil moisture collected at the selected horizontal sampling point is converted into the soil water potential of the selected horizontal sampling point.

[0015] Continue to determine the soil water potential at the remaining horizontal sampling points.

[0016] In some embodiments, determining the attenuation rate of moisture diffusion at a horizontal scale in the target soil region by using all soil water potentials and soil moisture tension at a horizontal scale in the target soil region specifically includes:

[0017] Determine the horizontal water potential distribution map of the target soil area by using all soil water potentials;

[0018] The horizontal diffusion coefficient of moisture in the target soil region is determined based on the water potential distribution map.

[0019] Determine the soil moisture tension at a horizontal scale in the target soil region;

[0020] The attenuation rate of moisture diffusion on a horizontal scale in the target soil region is determined based on the horizontal diffusion coefficient and the soil moisture tension.

[0021] In some embodiments, determining the sedimentation coefficient of soil moisture in a target soil region from soil moisture at each vertical sampling point specifically includes:

[0022] Based on the soil moisture at all vertical sampling points, determine the soil moisture-time variation curve of the target soil area at vertical depth;

[0023] The sedimentation coefficient of water in the target soil area is determined by the soil moisture-time variation curve.

[0024] In some embodiments, determining the infiltration distribution of moisture at a depth scale in a target soil region based on the settlement coefficient and the pore structure of the target soil region specifically includes:

[0025] Obtain the pore structure characteristics of the target soil region;

[0026] The influencing factors of soil moisture infiltration in the target soil area are determined by the pore structure characteristics.

[0027] The infiltration distribution of moisture at the depth scale in the target soil region is determined by the influencing factor and the sedimentation coefficient.

[0028] In some embodiments, performing a confidence detection on the humidity of the target soil area based on the humidity diffusion gradient to obtain a confidence humidity value for the target soil area specifically includes:

[0029] Multiple confidence detection points are selected in the target soil area based on the humidity diffusion gradient.

[0030] The confidence humidity value of the target soil area is determined by collecting humidity values ​​from all confidence detection points;

[0031] The confidence humidity value is output as the humidity detection result for the target soil area.

[0032] In some embodiments, soil moisture is collected at various horizontal sampling points in a target soil region using a soil moisture sensor.

[0033] Secondly, this application provides a soil moisture detection system, comprising:

[0034] The data acquisition module is used to collect soil moisture at various horizontal sampling points in the target soil area;

[0035] The processing module is 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 moisture diffusion on the horizontal scale in the target soil area by using all the soil water potential and the soil moisture tension on the horizontal scale in the target soil area.

[0036] The processing module 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 based on the soil moisture at each vertical sampling point, and determine the infiltration distribution of moisture in the target soil area at the depth scale based on the sedimentation coefficient and the pore structure of the target soil area.

[0037] The processing module is also used to perform scale fusion of the attenuation rate of the humidity diffusion on the horizontal scale and the infiltration distribution of the humidity on the depth scale to obtain the humidity diffusion gradient of the target soil area on the spatial scale.

[0038] 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, and obtain the confidence humidity value of the target soil area.

[0039] Thirdly, this application provides a computer device, the computer device including a memory and a processor, the memory for storing a computer program, and the processor for calling and running the computer program from the memory, so that the computer device performs the above-described soil moisture detection method.

[0040] Fourthly, this application provides a computer-readable storage medium storing instructions or code that, when executed on a computer, cause the computer to implement the aforementioned soil moisture detection method.

[0041] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects:

[0042] In this application, soil moisture is collected at various horizontal sampling points in the target soil region; based on the collected soil moisture, quantitative analysis is performed on each horizontal sampling point to obtain the soil water potential at each horizontal sampling point; the attenuation rate of humidity diffusion at the horizontal scale in the target soil region is determined by using all soil water potentials and soil water tension at the horizontal scale in the target soil region; soil moisture is collected at various vertical sampling points in the target soil region, and the sedimentation coefficient of moisture in the target soil region is determined by the soil moisture at each vertical sampling point; based on the sedimentation coefficient and the pore structure of the target soil region, the infiltration distribution of humidity at the depth scale in the target soil region is determined; the attenuation rate of humidity diffusion at the horizontal scale and the infiltration distribution of humidity at the depth scale are scale-fused to obtain the humidity diffusion gradient of the target soil region at the spatial scale; based on the humidity diffusion gradient, a confidence test is performed on the humidity of the target soil region to obtain the confidence humidity value of the target soil region.

[0043] Therefore, this application demonstrates several key advantages. First, by collecting soil moisture data from multiple horizontal and vertical sampling points in the target soil area, the distribution of soil moisture in both the horizontal and vertical directions can be captured more comprehensively, overcoming data bias towards a specific local area caused by insufficient sensor placement. Second, by determining the attenuation rate of moisture diffusion at the horizontal scale in the target soil area using the soil water potential at each horizontal sampling point, the pattern of soil moisture variation with horizontal position can be understood, enabling a holistic assessment of the horizontal expansion process of soil moisture and avoiding local bias caused by relying on a single sampling point. Third, by determining the sedimentation coefficient of moisture in the target soil area based on the soil moisture at each vertical sampling point, the variation pattern of soil moisture in the depth direction can be quantified. Finally, by combining the sedimentation coefficient and soil pore structure, the infiltration distribution of moisture at the depth scale in the target soil area can be determined. This approach allows for a better understanding of the vertical propagation mechanism of soil moisture, reducing errors caused by relying solely on shallow data. Then, by fusing the attenuation rate of moisture diffusion at the horizontal scale and the infiltration distribution of moisture at the depth scale, a spatial moisture diffusion gradient for the target soil region is obtained. This more accurately reflects the moisture state of the entire target soil region, avoiding data bias caused by single-scale sampling and ensuring more accurate and reliable moisture detection results. Finally, confidence moisture detection based on the moisture diffusion gradient ensures the effective integration of confidence moisture data at various levels and depths in the target soil region, eliminating data errors and improving the reliability of the final soil moisture detection results. In summary, this scheme enables multi-scale spatial detection of soil moisture, thereby increasing the reliability range of soil moisture detection. Attached Figure Description

[0044] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0045] Figure 1 This is an exemplary flowchart of a soil moisture detection method according to some embodiments of this application;

[0046] Figure 2 This is a schematic diagram showing the layout of sampling points according to some embodiments of this application;

[0047] Figure 3 This is an exemplary flowchart illustrating the determination of permeation distribution according to some embodiments of this application;

[0048] Figure 4This is a schematic diagram of the structure of a soil moisture detection system according to some embodiments of this application;

[0049] Figure 5 This is a schematic diagram of the structure of a computer device for implementing a soil moisture detection method according to some embodiments of this application. Detailed Implementation

[0050] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0051] To better understand the technical solution of this application, the technical solution of this application will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0052] refer to Figure 1 The figure is an exemplary flowchart of a soil moisture detection method according to some embodiments of this application. The soil moisture detection method 100 mainly includes the following steps:

[0053] In step 101, soil moisture is collected at each horizontal sampling point in the target soil area.

[0054] It should be noted that the horizontal sampling points in this application are sampling points laid out in the horizontal direction of the target soil area at a specified horizontal interval. The specified horizontal interval can be set based on the moisture change characteristics of different soil types (such as sandy soil, loam, and clay). For example, sandy soil usually has a faster moisture change, so a smaller horizontal interval can be set (such as 1-3 meters); while clay has a slower moisture change, so the horizontal interval can be appropriately increased (such as 5-10 meters). This will not be elaborated further here.

[0055] refer to Figure 2 As shown in the figure, this figure is a schematic diagram of the layout of sampling points in some embodiments of this application.

[0056] In practice, soil moisture at each horizontal sampling point can be collected using a soil moisture sensor or sampler, and the location of each horizontal sampling point and the sampling time when the soil moisture was collected can be recorded. Other methods can also be used in other embodiments, and no specific limitation is made here.

[0057] In step 102, a 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. The decay rate of humidity diffusion on the horizontal scale in the target soil area is determined by all the soil water potentials and the soil moisture tension on the horizontal scale in the target soil area.

[0058] In some embodiments, the soil water potential at each horizontal sampling point can be obtained by quantitative analysis of the collected soil moisture data using the following steps:

[0059] Initialize the soil moisture quantitative model;

[0060] Select a horizontal sampling point as the selected horizontal sampling point;

[0061] Based on the soil moisture quantitative model, the soil moisture collected at the selected horizontal sampling point is converted into the soil water potential of the selected horizontal sampling point.

[0062] Continue to determine the soil water potential at the remaining horizontal sampling points.

[0063] It should be noted that the soil moisture quantitative model in this application is a model used to convert soil moisture into soil water potential. As a preferred embodiment, the soil moisture quantitative model can be established by deep learning based on the soil moisture characteristic curve (e.g., 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 are not limited here.

[0064] In specific implementation, the conversion of soil moisture collected at the selected horizontal sampling point into soil water potential at the selected horizontal sampling point based on the soil moisture quantitative model can be achieved in the following way: after initializing the soil moisture quantitative model, the soil moisture collected at 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 at the selected horizontal sampling point. Other methods can also be used in other embodiments, which are not limited here.

[0065] It should be noted that the soil water potential in this application reflects the water energy level of the soil at the horizontal sampling point. The larger the value of the soil water potential, the higher the water energy of the soil at the horizontal sampling point, and the smaller the value of the soil water potential, the lower the water energy of the soil at the horizontal sampling point.

[0066] In some embodiments, determining the attenuation rate of moisture diffusion at a horizontal scale in a target soil region by means of all soil water potentials and soil moisture tension at a horizontal scale in the target soil region can be achieved by the following steps:

[0067] Determine the horizontal water potential distribution map of the target soil area by using all soil water potentials;

[0068] The horizontal diffusion coefficient of moisture in the target soil region is determined based on the water potential distribution map.

[0069] Determine the soil moisture tension at a horizontal scale in the target soil region;

[0070] The attenuation rate of moisture diffusion on a horizontal scale in the target soil region is determined based on the horizontal diffusion coefficient and the soil moisture tension.

[0071] In specific implementation, the water potential distribution map in this application reflects the difference in water potential distribution at various horizontal sampling points in the target soil area. The water potential distribution map in the horizontal direction of the target soil area can be determined by using all soil water potentials. Specifically, it can be generated based on all soil water potentials using an interpolation algorithm (such as Kriging interpolation or inverse distance weighted interpolation). Other methods can also be used in other embodiments, and are not limited here. The horizontal diffusion coefficient of moisture in the target soil area can be determined based on the water potential distribution map by using the regional averaging method to calculate the water potential gradient between adjacent horizontal sampling points in the water potential distribution map (i.e., the ratio of soil water potential between adjacent horizontal sampling points to the distance between adjacent horizontal sampling points). The average value of all obtained water potential gradients is used as the horizontal diffusion coefficient of moisture in the target soil area. Other methods can also be used in other embodiments, and are not limited here.

[0072] It should be noted that the horizontal diffusion coefficient in this application characterizes the ability of soil moisture to diffuse in the horizontal direction. The larger the horizontal diffusion coefficient, the stronger the ability of soil moisture to diffuse in the horizontal direction; the smaller the horizontal diffusion coefficient, the weaker the ability of soil moisture to diffuse in the horizontal direction.

[0073] In specific implementation, the soil moisture tension represents the resistance to the horizontal diffusion of soil moisture. The soil moisture tension at the horizontal scale in the target soil region can be determined as follows: experts can estimate the water retention capacity of soil particles based on the moisture content, porosity, and soil texture of the target soil region, and the result can be used as the soil moisture tension at the horizontal scale in the target soil region. Other methods can also be used in other embodiments, and are not limited here. The attenuation rate of humidity diffusion at the horizontal scale in the target soil region can be determined based on the horizontal diffusion coefficient and the soil moisture tension as follows: the product of the horizontal diffusion coefficient and the soil moisture tension can be used as the attenuation rate of humidity diffusion at the horizontal scale in the target soil region. Other methods can also be used in other embodiments, and are not limited here.

[0074] It should be noted that the attenuation rate of humidity diffusion on a horizontal scale in this application reflects the diffusion trend of soil moisture in the horizontal direction. Therefore, the diffusion potential energy 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. This will not be elaborated further here.

[0075] In step 103, soil moisture is collected at each vertical sampling point in the target soil region, and the sedimentation coefficient of moisture in the target soil region is determined by the soil moisture at each vertical sampling point. Based on the sedimentation coefficient and the pore structure of the target soil region, the infiltration distribution of moisture in the target soil region at the depth scale is determined.

[0076] It should be noted that the vertical sampling points in this application are sampling points laid out at specified vertical intervals within the depth range of the target soil area. The specified vertical interval can be set according to soil heterogeneity, crop type, and growth characteristics. For soil areas with high heterogeneity, the vertical interval should be appropriately reduced. For large areas of farmland with relatively uniform crop distribution, the vertical interval can be appropriately increased. For small, relatively concentrated crop areas, the vertical interval can be appropriately reduced. Other methods can also be used in other embodiments, and are not limited here. Furthermore, the depth range for vertical sampling 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 are set: 0-10cm, 10-30cm, and 30-50cm, to ensure coverage of different depths of the root zone in the target soil area. In other embodiments, if the soil is deep and irrigation is required, the depth range can be extended to 60cm-100cm, which will not be elaborated further here.

[0077] In practice, soil moisture at each vertical sampling point can be collected using an existing time-domain reflectometry sensor, and the depth of each vertical sampling point and the sampling time of the collected soil moisture can be recorded. Other methods can also be used for collection in other embodiments, which are not limited here.

[0078] In some embodiments, the determination of the sedimentation coefficient of soil moisture in a target soil region from the soil moisture at each vertical sampling point can be achieved by the following steps:

[0079] Based on the soil moisture at all vertical sampling points, determine the soil moisture-time variation curve of the target soil area at vertical depth;

[0080] The sedimentation coefficient of water in the target soil area is determined by the soil moisture-time variation curve.

[0081] In specific implementation, the soil moisture-time variation curve reflects the trend of moisture change in the target soil area over time in the vertical depth direction. The soil moisture-time variation curve of the target soil area in the vertical depth can be determined based on the soil moisture at all vertical sampling points using the matplotlib library of Python, based on the soil moisture at all vertical sampling points and the corresponding sampling time. Other methods can also be used in other embodiments, and are not limited here. The sedimentation coefficient of moisture in the target soil area can be determined using the soil moisture-time variation curve using the following method: a decay model (such as exponential decay) can be used to fit the rate of decrease of soil moisture over time based on the soil moisture-time variation curve to obtain the rate of water infiltration from the surface to the deeper layers in the target soil area, and then the obtained rate can be used as the sedimentation coefficient of moisture in the target soil area. Other methods can also be used in other embodiments, and are not limited here.

[0082] It should be noted that the sedimentation coefficient in this application reflects the vertical migration ability of water within the target soil area. The larger the sedimentation coefficient, the stronger the vertical migration ability of water within the target soil area; conversely, the smaller the sedimentation coefficient, the weaker the vertical migration ability of water within the target soil area.

[0083] In some embodiments, reference Figure 3 As shown, this figure is an exemplary flowchart for determining the permeability distribution in some embodiments of this application. In this embodiment, determining the permeability distribution of moisture at a depth scale in the target soil region based on the settlement coefficient and the pore structure of the target soil region can be achieved by the following steps:

[0084] First, in step 1031, the pore structure characteristics of the target soil region are obtained;

[0085] Secondly, in step 1032, the influencing factors of soil moisture infiltration in the target soil area are determined by the pore structure characteristics;

[0086] Finally, in step 1033, the infiltration distribution of moisture at the depth scale in the target soil region is determined by the influencing factor and the settling coefficient.

[0087] In specific implementation, the pore structure characteristics of the target soil area can be obtained in the following ways: the pore structure characteristics of the target soil area can be obtained through X-ray computed tomography (CT scan), electron microscopy imaging, or permeability testing. The pore structure characteristics include structural factors such as pore size distribution, pore morphology (e.g., circular, elongated, etc.), pore connectivity, and pore volume fraction. In other embodiments, representative pore structure characteristic parameters of the target soil area can also be obtained by combining on-site soil sampling with laboratory analysis, which will not be elaborated here.

[0088] In specific implementation, the influencing factor reflects the degree of influence of the pore structure of the target soil area on the water infiltration rate at different depths. Determining the influencing factor of soil water infiltration in the target soil area based on the pore structure characteristics can be achieved in the following way: the infiltration effect of each structural factor in the pore structure characteristics can be calculated using empirical formulas or based on soil physical models (such as Darcy's law). Then, based on all the infiltration effects, the degree of influence of the pore structure of the target soil area on the water infiltration rate at different depths is evaluated, and the result is used as the influencing factor of soil water infiltration in the target soil area. Determining the infiltration distribution of moisture at the depth scale in the target soil area using the influencing factor and the sedimentation coefficient can be achieved in the following way: the influencing factor and the sedimentation coefficient can be multiplied by an analytical model to obtain the water infiltration rate at different depths in the target soil area. Then, all the water infiltration rates are used to form the infiltration distribution of moisture at the depth scale in the target soil area. The analytical model is a model based on physical principles and mathematical methods, such as Darcy's law, to describe the movement of water in the soil in the target soil area. Other methods can also be used in other embodiments, and are not limited here.

[0089] It should be noted that the permeation distribution in this application reflects the degree of water infiltration at different depths in the target soil area. Therefore, the migration pattern of water at different depths can be understood through the permeation distribution, so as to understand the layer-by-layer diffusion of water in the soil profile.

[0090] In step 104, the attenuation rate of the humidity diffusion on the horizontal scale and the infiltration distribution of the humidity on the depth scale are scale-fused to obtain the humidity diffusion gradient of the target soil area on the spatial scale.

[0091] In some embodiments, the diffusion gradient of humidity in the target soil area on a spatial scale can be obtained by performing scale fusion of the attenuation rate of humidity diffusion on a horizontal scale and the infiltration distribution of humidity on a depth scale using the following steps:

[0092] The attenuation rate of the humidity diffusion on the horizontal scale and the infiltration distribution of the humidity on the depth scale are unified according to spatial coordinates to obtain the humidity diffusion vector of the target soil area in each spatial direction.

[0093] All diffusion vectors are merged into a diffusion gradient of humidity in the target soil region on a spatial scale.

[0094] 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 different spatial directions in the target soil area can be understood. The attenuation rate of humidity diffusion on the horizontal scale and the infiltration distribution of humidity on the depth scale are unified on spatial coordinates to obtain the diffusion vectors of humidity in the target soil area in each spatial direction. This can be achieved in the following way: the attenuation rate of humidity diffusion on the horizontal scale and the infiltration distribution of humidity on the depth scale can be uniformly mapped to the three-dimensional spatial coordinates of the target soil area through (3D raster modeling). Then, the gradient method is used based on the diffusion potential energy... The diffusion vector at each coordinate point in three-dimensional space is calculated based on the permeation distribution, thereby obtaining the diffusion vector of humidity in the target soil area in various spatial directions. Other methods can also be used to determine this in other embodiments, and are not limited here. The diffusion vectors of all diffusion vectors can be fused into the diffusion gradient of humidity in the target soil area on a spatial scale by means of the following method: a weighted average fusion algorithm can be used to synthesize the comprehensive diffusion intensity and flow direction of water in various directions, and then the fused result can be used as the diffusion gradient of humidity in the target soil area on a spatial scale. Other methods can also be used to determine this in other embodiments, and are not limited here.

[0095] It should be noted that the humidity diffusion gradient in this application reflects the diffusion characteristics of humidity in different directions in the target soil area. The diffusion gradient can be used to understand the degree and direction of change of soil humidity in the horizontal and vertical directions in the target soil area, so as to understand the trend of change of soil humidity in the target soil area. This will not be elaborated here.

[0096] In step 105, the humidity of the target soil area is tested with confidence based on the humidity diffusion gradient to obtain the confidence humidity value of the target soil area.

[0097] In some embodiments, the confidence detection of the humidity of the target soil area based on the humidity diffusion gradient to obtain the confidence humidity value of the target soil area can be achieved by the following steps:

[0098] Multiple confidence detection points are selected in the target soil area based on the humidity diffusion gradient.

[0099] The confidence humidity value of the target soil area is determined by collecting humidity values ​​from all confidence detection points;

[0100] The confidence humidity value is output as the humidity detection result for the target soil area.

[0101] In specific implementation, firstly, a deep reinforcement learning algorithm can be used to search for locations in the target soil region where humidity changes are significant and where humidity is relatively uniform, based on the diffusion gradient of the humidity. All searched locations are then used as confidence detection points in the target soil region. Next, a soil humidity sensor collects humidity values ​​from each confidence detection point to comprehensively collect spatial humidity distribution data in the target soil region. Then, an existing comprehensive statistical analysis algorithm can be used to calculate the confidence humidity value of the target soil region based on the humidity values ​​collected from all confidence detection points, thus integrating the humidity data from each confidence detection point. The statistical estimation algorithm can be, for example, mean estimation or weighted average, and other methods can be used in other embodiments; this is not limited here. Finally, the confidence humidity value is output as the humidity detection result for the target soil region, thus completing the humidity detection of the target soil region.

[0102] It should be noted that the confidence detection points in this application are representative sampling points selected in the target soil area, which can represent the humidity distribution of the target soil area to the greatest extent and provide a diverse data basis for the calculation of confidence humidity values. In addition, the confidence humidity values ​​reflect the reliable humidity level in the target soil area, which provides reliable humidity basis data for regional water management and irrigation optimization, and helps to make reasonable irrigation or drainage decisions in practical applications, avoiding resource waste or management errors caused by inaccurate humidity data.

[0103] In some embodiments, by using the moisture detection results of the target soil area, i.e. the confidence moisture value of the target soil area, farmers or agricultural managers can understand the spatial distribution of soil moisture, and then make reasonable arrangements for the amount of water to be irrigated for crops in the target soil area to optimize irrigation decisions. For example, irrigation can be strengthened in areas with insufficient moisture, while irrigation can be reduced or over-irrigation can be avoided in areas with abundant moisture, thereby saving water resources and increasing crop yield.

[0104] In another aspect, in some embodiments, this application provides a soil moisture detection system, referring to... Figure 4 The figure is a schematic diagram of the structure of a soil moisture detection system according to some embodiments of this application. The soil moisture detection system 400 includes: a data acquisition module 401, a processing module 402, and an execution module 403, which are described below:

[0105] The acquisition module 401 in this application is mainly used to collect soil moisture at various horizontal sampling points in the target soil area;

[0106] Processing module 402 in this application 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 moisture diffusion on the horizontal scale in the target soil area by using all soil water potentials and soil moisture tension on the horizontal scale in the target soil area.

[0107] The processing module 402 described in this 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 based on the soil moisture at each vertical sampling point, and determine the infiltration distribution of moisture in the target soil area at the depth scale based on the sedimentation coefficient and the pore structure of the target soil area.

[0108] The processing module 402 described in this application is further used to perform scale fusion of the attenuation rate of the humidity diffusion on the horizontal scale and the infiltration distribution of the humidity on the depth scale to obtain the diffusion gradient of humidity in the target soil area on the spatial scale.

[0109] The execution module 403 in this application 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.

[0110] The foregoing has detailed examples of the soil moisture detection method and system provided in the embodiments of this application. It is understood that the corresponding apparatus, in order to achieve the above functions, includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should readily recognize that, in conjunction with the units and algorithm steps of the various examples described in the embodiments disclosed herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0111] In some embodiments, this application also provides a computer device, the computer device including a memory and a processor, the memory for storing a computer program, and the processor for calling and running the computer program from the memory, so that the computer device performs the above-described soil moisture detection method.

[0112] In some embodiments, reference Figure 5The dashed lines in the figure indicate that the unit or module is optional. This figure is a schematic diagram of the structure of a computer device implementing the soil moisture detection method of this application. The soil moisture detection method in the above embodiments can be... Figure 5 The computer device 500 shown is used to implement this, 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 may be a terminal device, a server or a chip.

[0113] The processor 501 can be a general-purpose processor or a special-purpose processor. For example, the processor 501 can be a central processing unit (CPU). The CPU can be used to control the computer device 500, execute software programs, and process data from the software programs. The computer device 500 may also include a communication unit 505 for inputting (receiving) and outputting (transmitting) signals.

[0114] For example, computer device 500 may be a chip, communication unit 505 may be the input and / or output circuit of the chip, or communication unit 505 may be the communication interface of the chip, and the chip may be a component of terminal device, network device or other device.

[0115] For example, computer device 500 may be a terminal device or a server, and communication unit 505 may be a transceiver of the terminal device or the server, or communication unit 505 may be a transceiver circuit of the terminal device or the server.

[0116] The computer device 500 may include one or more memories 502 storing a program 504. The program 504 can be executed by a processor 501 to generate instructions 503, causing the processor 501 to perform the methods described in the above method embodiments according to the instructions 503. Optionally, the memory 502 may also store data (such as a target audit model). Optionally, the processor 501 may also read data stored in the memory 502, which may be stored at the same storage address as the program 504, or the data may be stored at a different storage address than the program 504.

[0117] The processor 501 and memory 502 can be configured separately or integrated together, for example, integrated on the system-on-chip (SOC) of the terminal device.

[0118] It should be understood that each step of the above method embodiment can be completed by hardware logic circuits or software 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 gate, transistor logic devices, or discrete hardware components.

[0119] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0120] For example, in some embodiments, this application also provides a computer-readable storage medium storing instructions or code that, when executed on a computer, cause the computer to perform the above-described soil moisture detection method.

[0121] In summary, the soil moisture detection method and system disclosed in this application collects soil moisture at various horizontal sampling points in a target soil region; quantitatively analyzes the collected soil moisture at each horizontal sampling point to obtain the soil water potential at each horizontal sampling point; determines the attenuation rate of moisture diffusion at the horizontal scale in the target soil region by using all soil water potentials and soil water tension at the horizontal scale in the target soil region; collects soil moisture at various vertical sampling points in the target soil region, and then determines the sedimentation coefficient of moisture in the target soil region by using the soil moisture at each vertical sampling point; determines the infiltration distribution of moisture at the depth scale in the target soil region based on the sedimentation coefficient and the pore structure of the target soil region; performs scale fusion of the attenuation rate of moisture diffusion at the horizontal scale and the infiltration distribution of moisture at the depth scale to obtain the diffusion gradient of moisture in the target soil region at the spatial scale; performs confidence detection on the moisture in the target soil region based on the diffusion gradient of moisture to obtain the confidence moisture value of the target soil region; thus, it can realize multi-scale spatial detection of soil moisture, thereby increasing the reliability range of soil moisture detection.

[0122] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0123] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method of soil moisture detection, characterized by, The method comprises the following steps: Collecting soil moisture of each horizontal sampling point in a target soil region; Performing quantitative analysis on each horizontal sampling point based on the collected soil moisture to obtain soil water potential of each horizontal sampling point; Collecting soil moisture of each vertical sampling point in the target soil region, and then determining a settlement coefficient of water in the target soil region from the soil moisture of each vertical sampling point, and determining a penetration distribution of humidity in the target soil region in a depth scale according to the settlement coefficient and a pore structure of the target soil region; Fusing the soil water potential of each horizontal sampling point and the penetration distribution of humidity in the depth scale to obtain a diffusion gradient of humidity in the target soil region in a spatial scale; Performing confidence detection on humidity of the target soil region based on the diffusion gradient of humidity to obtain a confidence humidity value of the target soil region; The quantitative analysis on each horizontal sampling point based on the collected soil moisture to obtain the soil water potential of each horizontal sampling point specifically comprises: Initializing a soil moisture quantitative model; Selecting one horizontal sampling point as a selected horizontal sampling point; Converting the collected soil moisture 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; Continuing to determine the soil water potential of the remaining horizontal sampling points; The determination of the settlement coefficient of water in the target soil region from the soil moisture of each vertical sampling point specifically comprises: Determining a soil moisture-time variation curve of the target soil region in a vertical depth based on the soil moisture of all vertical sampling points; Determining the settlement coefficient of water in the target soil region through the soil moisture-time variation curve; The determination of the penetration distribution of humidity in the target soil region in the depth scale according to the settlement coefficient and the pore structure of the target soil region specifically comprises: Obtaining pore structure characteristics of the target soil region; Determining an influence factor of soil moisture penetration in the target soil region through the pore structure characteristics; Determining the penetration distribution of humidity in the target soil region in the depth scale from the influence factor and the settlement coefficient; The fusion of the soil water potential of each horizontal sampling point and the penetration distribution of humidity in the depth scale to obtain the diffusion gradient of humidity in the target soil region in the spatial scale specifically comprises: Determining an attenuation rate of humidity diffusion in a horizontal scale in the target soil region through all soil water potentials and soil water tensions in the horizontal scale of the target soil region; Unifying scales of the attenuation rate of humidity diffusion in the horizontal scale and the penetration distribution of humidity in the depth scale according to spatial coordinates to obtain diffusion vectors of humidity in each spatial direction of the target soil region; Fusing all diffusion vectors into the diffusion gradient of humidity in the target soil region in the spatial scale.

2. The method of claim 1, wherein, The confidence detection on humidity of the target soil region based on the diffusion gradient of humidity to obtain the confidence humidity value of the target soil region specifically comprises: Selecting a plurality of confidence detection points in the target soil region according to the diffusion gradient of humidity; Determining the confidence humidity value of the target soil region from humidity values collected by all confidence detection points. Output the confidence humidity value as a humidity detection result of the target soil region.

3. The method of claim 1, wherein, Collect soil moisture of each horizontal sampling point in the target soil region through a soil moisture sensor.

4. A soil moisture detection system employing the method of any one of claims 1 to 3 for soil moisture detection, characterized by, The soil humidity detection system comprises: a collecting module configured to collect soil moisture of each horizontal sampling point in the target soil region; a processing module configured to quantitatively analyze each horizontal sampling point based on the collected soil moisture to obtain soil water potential of each horizontal sampling point; the processing module is further configured to collect soil moisture of each vertical sampling point in the target soil region, and then determine a settlement coefficient of the water in the target soil region from the soil moisture of each vertical sampling point, and determine a penetration distribution of the humidity in the target soil region in a depth scale according to the settlement coefficient and a pore structure of the target soil region; the processing module is further configured to scale fuse the soil water potential of each horizontal sampling point and the penetration distribution of the humidity in the depth scale to obtain a diffusion gradient of the humidity of the target soil region in a spatial scale; an executing module configured to perform confidence detection on the humidity of the target soil region based on the diffusion gradient of the humidity to obtain a confidence humidity value of the target soil region.

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