Soil profile sample analysis system and method

Abstract

The invention discloses a soil profile sample analysis system and method, and relates to the technical field of soil analysis data management.The method comprises the steps that a hyperspectral image of soil is recognized, a certain sampling record in historical sampling records is recorded as target sampling, and change functions corresponding to all types of soil components in a target slice are obtained; calculating the number of target changes in all change functions, obtaining corresponding numerical values of soil component contents of all unit sampling layers in all unit sampling layers of each section sampling slice, respectively calculating the change range of each soil component content, and obtaining a current sampling record of soil; calculating a weight coefficient by comparing the difference of the change range of the soil component content between the current sampling record and the historical sampling record, comparing the difference of the target change between the current sampling record and the historical sampling record, and measuring the difference through the weight coefficient to obtain a difference evaluation value.

Description

Technical Field

[0001] The present invention relates to the technical field of soil analysis data management, and in particular to a soil profile sample analysis system and method. Background Art

[0002] By analyzing the soil in the garden, the soil data obtained can help operational decisions for garden development. In order to reduce the impact on the garden's landform, soil information in the garden is obtained by sampling the soil profile. In actual application scenarios, random sampling is usually used to obtain soil samples in the garden. Since the number of soil samples obtained each time is limited, the scope of the soil samples covering the garden land is limited, which will result in incomplete sampling data, thereby affecting the judgment of relevant managers on soil data. Summary of the invention

[0003] The object of the present invention is to provide a soil profile sample analysis system and method to solve the problems raised in the prior art.

[0004] To achieve the above object, the present invention provides the following technical solution: a soil profile sample analysis method, the method comprising: Step S100: obtaining a soil profile sampling template, collecting sampling records through the profile sampling template, obtaining a soil profile sampling slice, and obtaining a change function of the corresponding value of the soil component content on the profile sampling slice by identifying the hyperspectral image of the soil; Step S200: obtaining historical sampling records of soil, recording a sampling record in the historical sampling records as a target sampling, obtaining all profile sampling slices of the target sampling, taking a profile sampling slice among all the profile sampling slices as the target slice, and for the change functions corresponding to all types of soil components in the target slice, taking the change rate in the change function that is greater than a threshold as the target change, and calculating the number of target changes in all the change functions; Step S300: Obtain all cross-section sampling slices of several land sample collections, calculate the mean of the number of all target changes, and use the mean as the sampling judgment threshold; Step S400: Obtain all profile sampling slices in the target sampling, obtain corresponding values ​​of soil component contents of all unit sampling layers in all unit sampling layers of each profile sampling slice, and calculate the variation range of various soil component contents respectively; Step S500: Obtain the current sampling record of the soil, calculate the weight coefficient by comparing the difference in the change range of the soil component content between the current sampling record and the historical sampling record, compare the difference in target change between the current sampling record and the historical sampling record, measure the difference by the weight coefficient to obtain the difference evaluation value, and when the difference evaluation value is less than the sampling judgment threshold, issue an information prompt.

[0005] Furthermore, step S100 includes: Step S101: obtaining a profile sampling template with a depth of W1 and a width of W2, satisfying the condition W1>W2, the profile sampling template includes n unit sampling layers, and the soil sampling samples are saved through the profile sampling template to obtain the soil profile sampling slices, and the direction of saving all the profile sampling slices is the same, which is from the ground to the underground or from the underground to the ground; The profile sampling template is divided into short sides and long sides. In this scheme, the variation trend of soil component content in the long side direction of the profile sampling slice is analyzed; Due to the different physical or chemical properties of different soil layers, the diffusion modes of soil components in the soil are different. By capturing the rate of diffusion change, the soil layer information of component diffusion is obtained, and further the range of soil layers covered by the sampling samples is obtained; Step S102: Identify k kinds of soil components of the profile sampling slices respectively, and obtain the soil component change function. The i-th soil component change function among the k kinds of soil components is recorded as Gi (λ), where λ is the distance variable along the direction of the profile sampling slice.

[0006] Further, step S200 includes: Step S201: Obtain the i-th soil component variation function G in the target slice * i(λ), get G * The derivative function g of i(λ) in the direction of the sampling slice * i(λ); Step S202: Set the change rate threshold f, and set g ’ A part of i(λ) that is continuously greater than f is recorded as a target change, and g is obtained. ’ the number of target changes in i(λ); Step S203: respectively obtain soil component change functions corresponding to k kinds of soil components in the target slice, obtain target changes corresponding to various soil component change functions, and obtain the total number of all target changes of the target slice, which is recorded as m.

[0007] Furthermore, step S300 includes: Step S301: Obtain d1 land sample collection records, where each land sample collection record includes d2 profile sampling slices, and obtain the total number M of all target changes of q profile sampling slices in the pth land sampling record pq , where 1≤p≤d1, 1≤q≤d2; Step S302: Calculate the sampling decision threshold γ, ; γ represents the average number of target changes in each profile sampling slice in the historical data, and represents the average number of soil layers sampled in the historical records, which serves as a reference standard for the number of sampled soil layers in the current sampling process.

[0008] Furthermore, step S400 includes: Step S401: Obtain the jth unit sampling layer L in the target slice j , get L j The corresponding values ​​of the content of various soil components in L j The corresponding value in is recorded as V ij ; Step S402: Obtain the corresponding values ​​of the i-th soil component of all j-th unit sampling layers in all profile sampling slices, and collect the corresponding values ​​into the sampling set E ij , get E ij The maximum value V max and minimum value V min , calculate the coefficient of variation ω corresponding to the i-th soil component of the j-th unit sampling layer ij , ω ij =lg(V max / V min ), where lg represents the logarithmic function with base 10; The coefficient of variation indicates the coverage of the sampling in the direction parallel to the ground. When the distance between the profile sampling slices is close, V max and V min The values ​​are close to V max / V min The value tends to 1. When the coverage area is wide, V max and V min There are obvious differences, and the coverage of the profile sampling slices in the horizontal direction is measured by the coefficient of difference; Step S403: Obtain h difference coefficients from several land sample collections, and take the minimum value of the h difference coefficients as the difference reference value, which is recorded as B min .

[0009] Furthermore, step S500 includes: Step S501: obtaining the current sampling of garden land and recording it as the current sampling, recording all the profile sampling slices of the current sampling as the current sampling slices, obtaining all the soil component change functions of the current sampling slices, and obtaining the number of target changes in the current sampling slices; Step S502: Obtain the number of target changes in all cross-section sampling slices in the current sampling, calculate the total number of target changes T, and calculate the average value R of the target change in the current sampling, R=T / c, where c represents the number of all cross-section sampling slices in the current sampling; Step S503: obtaining the difference coefficients corresponding to the unit sampling layers of each cross-sectional sampling slice in the current sampling, calculating the average value of the difference coefficients, and recording the average value as a; Step S504: Calculate the weight coefficient α, , when α×R<γ, information prompts are given to relevant sampling personnel; When a<B min When (aB min ) / B min is a negative number, the result of α×R<γ is more likely to appear. min When (aB min ) / B min For a positive number, the result of α×R>γ is more likely to occur.

[0010] In order to better implement the above method, a soil profile sample analysis system is also proposed, the system comprising: A hyperspectral image recognition module, a historical record management module, a sampling judgment threshold management module, a variation range management module and a sampling evaluation module, wherein the hyperspectral image recognition module is used to collect hyperspectral images of soil profile sampling slices and identify the content of components in the soil; the historical record management module is used to obtain historical sampling records of the soil and manage historical data in the historical sampling records; the sampling judgment threshold management module is used to collect historical sampling records and calculate the sampling judgment threshold; the variation range management module is used to manage the changes in soil components in the same layer of different profile sampling slices in the historical sampling records; the sampling evaluation module is used to obtain the current sampling records of the soil, evaluate the sampling records, and provide information reminders based on the current sampling records of the soil that meet the conditions; Furthermore, the hyperspectral image recognition module includes: an acquisition template management unit, a component recognition unit and a change function management unit, wherein the acquisition template management unit is used to manage the profile acquisition template, the component recognition unit is used to identify the content values ​​of various components of the soil in the profile sampling slice, and the change function management unit is used to manage the soil component change function in the profile sampling slice; Further, the history record management module includes: a threshold management unit, a target change identification unit and a change statistics unit, wherein the threshold management unit is used to manage the change rate threshold of the target change, the target change identification unit is used to identify the function change greater than the change rate threshold, and the change statistics unit is used to record the number of target changes; Further, the sampling determination threshold management module includes: a data collection unit and a sampling determination threshold calculation unit, wherein the data collection unit is used to collect the number of all target changes in the historical records, and the sampling determination threshold calculation unit is used to calculate the sampling determination threshold; Further, the variation range management module includes: a sampling set management unit, a difference coefficient calculation unit and a difference reference value management unit, wherein the sampling set management unit is used to collect data of soil components in a unit sampling layer and record them in a sampling set, the difference coefficient calculation unit is used to calculate the difference coefficient, and the difference reference value management unit is used to obtain the difference reference value; Furthermore, the sampling evaluation module includes: a sampling management unit, a target change calculation unit, a weight coefficient calculation unit and an information reminder unit, wherein the sampling management unit is used to manage the current sampling records of the soil, the target change calculation unit is used to calculate the total number of target changes in the sampling records, the weight coefficient calculation unit is used to calculate the weight coefficient, and the information reminder unit is used to provide information reminders for the difference evaluation values ​​that meet the judgment conditions.

[0011] Compared with the prior art, the beneficial effects of the present invention are: by analyzing the vertical and horizontal characteristics of soil sampling slices, the soil sampling data is classified and analyzed and sorted, and a standard for comparing the current sampling data is established. By comparing the current soil sampling data with the historical data, the analysis is performed from the two dimensions of the vertical and horizontal directions, and the weight value and the difference value are obtained respectively. By comparing the comparison model with the reference threshold, it is verified whether the current soil sampling data fully covers the garden. When the sampling data is insufficient to cover the garden, the relevant personnel are reminded. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 It is a structural schematic diagram of a soil profile sample analysis system of the present invention; Figure 2 A schematic diagram of a process of analyzing a soil profile sample according to the present invention; Figure 3 This is a schematic diagram of an example of a soil profile sample analysis method of the present invention. DETAILED DESCRIPTION

[0013] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0014] Example: Figure 1 , Figure 2 and Figure 3 As shown, the present invention provides a technical solution, a soil profile sample analysis method: Step S100: obtaining a soil profile sampling template, collecting sampling records through the profile sampling template, obtaining a soil profile sampling slice, and obtaining a change function of the corresponding value of the soil component content on the profile sampling slice by identifying the hyperspectral image of the soil; Hyperspectral images are obtained by imaging the target area in multiple continuous and subdivided spectral bands using a hyperspectral sensor. These bands cover the ultraviolet, visible, near-infrared and mid-infrared regions of the electromagnetic spectrum, and can capture the spectral characteristics of soil samples in different bands. These characteristics contain information about soil composition, structure, water content, etc. Wherein, step S100 includes: Step S101: obtaining a profile sampling template with a depth of W1 and a width of W2, satisfying the condition W1>W2, the profile sampling template includes n unit sampling layers, and the soil sampling samples are saved through the profile sampling template to obtain the soil profile sampling slices, and the direction of saving all the profile sampling slices is the same, which is from the ground to the underground or from the underground to the ground; Step S102: Identify k kinds of soil components of the profile sampling slices respectively, and obtain soil component variation functions, where the i-th soil component variation function among the k kinds of soil components is recorded as Gi(λ), where λ is a distance variable along the direction of the profile sampling slices; In the embodiment, the sampling template represents a standardized soil sampling slice. During implementation, a sampling template with the same depth is set, the depth of the sampling template is greater than the sampling depth, and the non-soil layer portion is removed from the sampling template to obtain the sampling slice; The depth of a certain sampling template into the soil is selected as the reference depth. All sampling templates are inserted into the horizontal plane where the reference depth is located. The sampling slices are aligned at the bottom to reduce the impact of different terrains on the sampling slices.

[0015] Step S200: obtaining historical sampling records of soil, recording a sampling record in the historical sampling records as a target sampling, obtaining all profile sampling slices of the target sampling, taking a profile sampling slice among all the profile sampling slices as the target slice, and for the change functions corresponding to all types of soil components in the target slice, taking the change rate in the change function that is greater than a threshold as the target change, and calculating the number of target changes in all the change functions; In such Figure 3 In the schematic diagram shown, GD represents the ground, SP represents the soil sample, slice represents the profile sampling slice, whose depth is W1* and width is W2*, and the profile sampling slice includes several unit sampling layers; Wherein, step S200 includes: Step S201: Obtain the i-th soil component variation function G in the target slice * i(λ), get G * The derivative function g of i(λ) in the direction of the sampling slice * i(λ); Step S202: Set the change rate threshold, g ’ A part of i(λ) that is continuously greater than f is recorded as a target change, and g is obtained. ’ the number of target changes in i(λ); Step S203: respectively obtain soil component change functions corresponding to k kinds of soil components in the target slice, obtain target changes corresponding to various soil component change functions, and obtain the total number of all target changes of the target slice, which is recorded as m.

[0016] Step S300: Obtain all cross-section sampling slices of several land sample collections, calculate the mean of the number of all target changes, and use the mean as the sampling judgment threshold; Wherein, step S300 includes: Step S301: Obtain d1 land sample collection records, where each land sample collection record includes d2 profile sampling slices, and obtain the total number M of all target changes of q profile sampling slices in the pth land sampling record pq , where 1≤p≤d1, 1≤q≤d2; Step S302: Calculate the sampling decision threshold γ, .

[0017] Step S400: Obtain all profile sampling slices in the target sampling, obtain corresponding values ​​of soil component contents of all unit sampling layers in all unit sampling layers of each profile sampling slice, and calculate the variation range of various soil component contents respectively; Wherein, step S400 includes: Step S401: Obtain the jth unit sampling layer L in the target slice j , get L j The corresponding values ​​of the content of various soil components in L j The corresponding value in is recorded as V ij ; In this scheme, W2 is the short side of the cross-sectional sampling slice. In the direction of the short side, in each cross-sectional sampling slice, the corresponding value of the component content changes slightly and approximately takes a constant value. In the unit sampling layer, the average value of the corresponding value of the component content in the unit sampling layer is taken as the corresponding value in the corresponding unit sampling layer; Step S402: Obtain the corresponding values ​​of the i-th soil component of all j-th unit sampling layers in all profile sampling slices, and collect the corresponding values ​​into the sampling set E ij , get E ij The maximum value V max and minimum value V min , calculate the coefficient of variation ω corresponding to the i-th soil component of the j-th unit sampling layer ij , ω ij =lg(V max / V min ), where lg represents the logarithmic function with base 10; Step S403: Obtain h difference coefficients from several land sample collections, and take the minimum value of the h difference coefficients as the difference reference value, which is recorded as B min ; In the embodiment, in the same sampling record, the values ​​corresponding to the contents of various soil components in each unit sampling layer are respectively collected, and the coefficient of difference of the corresponding values ​​of the contents of each soil component in the same layer is calculated; The difference coefficients of each layer of each sampling record are aggregated. At this time, the total number of difference coefficients is h, and the minimum value is selected to obtain B min ; Alternatively, randomly sample h of the difference coefficients and take the minimum value to obtain B min .

[0018] Step S500: obtaining the current sampling record of the soil, calculating the weight coefficient by comparing the difference in the variation range of the soil component content between the current sampling record and the historical sampling record, comparing the difference in the target change between the current sampling record and the historical sampling record, weighing the difference by the weight coefficient to obtain the difference evaluation value, and providing an information prompt when the difference evaluation value is less than the sampling judgment threshold; Wherein, step S500 includes: Step S501: obtaining the current sampling of garden land and recording it as the current sampling, recording all the profile sampling slices of the current sampling as the current sampling slices, obtaining all the soil component change functions of the current sampling slices, and obtaining the number of target changes in the current sampling slices; Step S502: Obtain the number of target changes in all cross-section sampling slices in the current sampling, calculate the total number of target changes T, and calculate the average value R of the target change in the current sampling, R=T / c, where c represents the number of all cross-section sampling slices in the current sampling; Step S503: obtaining the difference coefficients corresponding to the unit sampling layers of each cross-sectional sampling slice in the current sampling, calculating the average value of the difference coefficients, and recording the average value as a; Step S504: Calculate the weight coefficient α, , when α×R<γ, information prompts are given to relevant sampling personnel.

[0019] A soil profile sample analysis system, the system comprising: a hyperspectral image recognition module, a historical record management module, a sampling determination threshold management module, a variation range management module and a sampling evaluation module; Among them, the hyperspectral image recognition module is used to collect hyperspectral images of soil profile sampling slices and identify the component content in the soil. Among them, the hyperspectral image recognition module includes: an acquisition template management unit, a component identification unit and a change function management unit. Among them, the acquisition template management unit is used to manage the profile acquisition template, the component identification unit is used to identify the content values ​​of various soil components in the profile sampling slices, and the change function management unit is used to manage the soil component change function in the profile sampling slices.

[0020] The historical record management module is used to obtain the historical sampling records of the soil and manage the historical data in the historical sampling records. The historical record management module includes: a threshold management unit, a target change identification unit and a change statistics unit. The threshold management unit is used to manage the change rate threshold of the target change, the target change identification unit is used to identify the function change greater than the change rate threshold, and the change statistics unit is used to record the number of target changes. The sampling determination threshold management module is used to collect historical sampling records and calculate the sampling determination threshold. The sampling determination threshold management module includes: a data collection unit and a sampling determination threshold calculation unit. The data collection unit is used to collect the number of all target changes in the historical records, and the sampling determination threshold calculation unit is used to calculate the sampling determination threshold. The variation range management module is used to manage the variation of soil components in the same layer of different profile sampling slices in the historical sampling records, wherein the variation range management module includes: a sampling set management unit, a difference coefficient calculation unit and a difference reference value management unit, wherein the sampling set management unit is used to collect the data of soil components in the unit sampling layer and record them in the sampling set, the difference coefficient calculation unit is used to calculate the difference coefficient, and the difference reference value management unit is used to obtain the difference reference value; Among them, the sampling evaluation module is used to obtain the current sampling record of the soil, evaluate the sampling record, and provide information reminders based on the current sampling record of the soil that meets the conditions. Among them, the sampling evaluation module includes: a sampling management unit, a target change calculation unit, a weight coefficient calculation unit and an information reminder unit. Among them, the sampling management unit is used to manage the current sampling record of the soil, the target change calculation unit is used to calculate the total number of target changes in the sampling record, the weight coefficient calculation unit is used to calculate the weight coefficient, and the information reminder unit is used to provide information reminders for the difference evaluation values ​​that meet the judgment conditions.

[0021] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A soil profile sample analysis method, characterized in that: The method comprises the following steps: Step S100: obtaining a soil profile sampling template, collecting sampling records through the profile sampling template, obtaining a soil profile sampling slice, and obtaining a change function of the corresponding value of the soil component content on the profile sampling slice by identifying the hyperspectral image of the soil; Step S200: obtaining historical sampling records of soil, recording a sampling record in the historical sampling records as a target sampling, obtaining all profile sampling slices of the target sampling, taking a profile sampling slice among all the profile sampling slices as the target slice, and for the change functions corresponding to all types of soil components in the target slice, taking the change rate in the change function that is greater than a threshold as the target change, and calculating the number of target changes in all the change functions; Step S300: Acquire all cross-section sampling slices of several land sample collections, calculate the mean of the number of all target changes, and use the mean as the sampling judgment threshold; Step S400: Obtain all cross-sectional sampling slices in the target sampling, obtain corresponding values ​​of soil component contents of all unit sampling layers in all unit sampling layers of each cross-sectional sampling slice, and calculate the variation range of various soil component contents respectively; Step S500: Obtain the current sampling record of the soil, calculate the weight coefficient by comparing the difference in the change range of the soil component content between the current sampling record and the historical sampling record, compare the difference in target change between the current sampling record and the historical sampling record, measure the difference by the weight coefficient to obtain a difference evaluation value, and when the difference evaluation value is less than the sampling judgment threshold, issue an information prompt.

2. A soil profile sample analysis method according to claim 1, characterized in that: Step S100 includes: Step S101: obtaining a profile sampling template with a depth of W1 and a width of W2, satisfying the condition W1>W2, wherein the profile sampling template includes n unit sampling layers, and the soil sampling samples are saved through the profile sampling template to obtain the soil profile sampling slices, wherein the direction of saving all the profile sampling slices is the same, which is from the ground to the underground or from the underground to the ground; Step S102: Identify k kinds of soil components of the profile sampling slices respectively to obtain soil component variation function, wherein the i-th soil component variation function among the k kinds of soil components is recorded as Gi(λ), wherein λ is a distance variable along the direction of the profile sampling slices.

3. A soil profile sample analysis method according to claim 2, characterized in that: Step S200 includes: Step S201: Obtain the i-th soil component variation function G in the target slice ’ i(λ), get G ’ The derivative function g of i(λ) in the direction of the sampling slice ’ i(λ); Step S202: Set the change rate threshold f, and set g ’ A part of i(λ) that is continuously greater than f is recorded as a target change, and g is obtained. ’ the number of target changes in i(λ); Step S203: respectively obtain soil component change functions corresponding to k kinds of soil components in the target slice, obtain target changes corresponding to various soil component change functions, and obtain the total number of all target changes of the target slice, which is recorded as m.

4. A soil profile sample analysis method according to claim 3, characterized in that: Step S300 includes: Step S301: Obtain d1 land sample collection records, where each land sample collection record includes d2 profile sampling slices, and obtain the total number M of all target changes of q profile sampling slices in the pth land sampling record pq , where 1≤p≤d1, 1≤q≤d2; Step S302: Calculate the sampling decision threshold γ, .

5. A soil profile sample analysis method according to claim 4, characterized in that: Step S400 includes: Step S401: Obtain the jth unit sampling layer L in the target slice j , get L j The corresponding values ​​of the content of various soil components in L j The corresponding value in is recorded as V ij ; Step S402: Obtain the corresponding values ​​of the i-th soil component of all the j-th unit sampling layers in all the cross-sectional sampling slices, and collect the corresponding values ​​into the sampling set E ij , get E ij The maximum value V max and minimum value V min , calculate the coefficient of variation ω corresponding to the i-th soil component of the j-th unit sampling layer ij , ω ij =lg(V max / V min ), where lg represents the logarithmic function with base 10; Step S403: Obtain h difference coefficients from several land sample collections, and take the minimum value of the h difference coefficients as the difference reference value, which is recorded as B min .

6. A soil profile sample analysis method according to claim 5, characterized in that: Step S500 includes: Step S501: obtaining the current sampling of garden land and recording it as the current sampling, recording all the profile sampling slices of the current sampling as the current sampling slices, obtaining all the soil component change functions of the current sampling slices, and obtaining the number of target changes in the current sampling slices; Step S502: Obtain the number of target changes in all cross-section sampling slices in the current sampling, calculate the total number of target changes T, and calculate the average value R of the target change in the current sampling, R=T / c, where c represents the number of all cross-section sampling slices in the current sampling; Step S503: obtaining the difference coefficients corresponding to the unit sampling layers of each cross-sectional sampling slice in the current sampling, calculating the average value of the difference coefficients, and recording the average value as a; Step S504: Calculate the weight coefficient α, , when α×R<γ, information prompts are given to relevant sampling personnel.

7. A soil profile sample analysis system, used to execute a soil profile sample analysis method according to any one of claims 1 to 6, characterized in that: The system includes: Hyperspectral image recognition module, historical record management module, sampling judgment threshold management module, variation range management module and sampling evaluation module, wherein the hyperspectral image recognition module is used to collect hyperspectral images of soil profile sampling slices and identify the component content in the soil, the historical record management module is used to obtain historical sampling records of soil and manage historical data in historical sampling records, the sampling judgment threshold management module is used to collect historical sampling records and calculate sampling judgment thresholds, the variation range management module is used to manage the changes in soil components in the same layer of different profile sampling slices in historical sampling records, and the sampling evaluation module is used to obtain current sampling records of soil, evaluate the sampling records, and provide information reminders based on the current sampling records of soil that meet the conditions.

8. A soil profile sample analysis system according to claim 7, characterized in that: The hyperspectral image recognition module includes: an acquisition template management unit, a component identification unit and a change function management unit, wherein the acquisition template management unit is used to manage the profile acquisition template, the component identification unit is used to identify the content values ​​of various soil components in the profile sampling slice, and the change function management unit is used to manage the soil component change function in the profile sampling slice.

9. A soil profile sample analysis system according to claim 7, characterized in that: The history record management module includes: a threshold management unit, a target change identification unit and a change statistics unit, wherein the threshold management unit is used to manage the change rate threshold of the target change, the target change identification unit is used to identify the function change greater than the change rate threshold, and the change statistics unit is used to record the number of target changes; The sampling determination threshold management module includes: a data collection unit and a sampling determination threshold calculation unit, wherein the data collection unit is used to collect the number of all target changes in the historical records, and the sampling determination threshold calculation unit is used to calculate the sampling determination threshold; The variation range management module includes: a sampling set management unit, a difference coefficient calculation unit and a difference reference value management unit, wherein the sampling set management unit is used to collect the data of soil components in the unit sampling layer and record them into the sampling set, the difference coefficient calculation unit is used to calculate the difference coefficient, and the difference reference value management unit is used to obtain the difference reference value.

10. A soil profile sample analysis system according to claim 7, characterized in that: The sampling evaluation module includes: a sampling management unit, a target change calculation unit, a weight coefficient calculation unit and an information reminder unit, wherein the sampling management unit is used to manage the current sampling records of the soil, the target change calculation unit is used to calculate the total number of target changes in the sampling records, the weight coefficient calculation unit is used to calculate the weight coefficient, and the information reminder unit is used to provide information reminders for the difference evaluation values ​​that meet the judgment conditions.

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