Intelligent analysis method and device for soil carbon existence forms based on multi-source community information

Abstract

The present invention discloses a method and device for intelligently analyzing soil carbon presence patterns based on multi-source community information. The method comprises: determining all target collection sub-regions that meet soil collection conditions based on the determined plant community parameters of all pending collection sub-regions; and collecting soil from each target collection sub-region based on the regional parameters of each target collection sub-region; analyzing the carbon composition of the soil in each target collection sub-region, thereby determining the soil carbon parameters of the target region based on the soil analysis results of each target collection sub-region. It can be seen that the implementation of the present invention can intelligently analyze the soil carbon parameters of the entire region based on the soil analysis results of multiple sub-regions. This not only solves the time lag problem of regional soil carbon analysis, but also improves the reliability and accuracy of soil carbon analysis, thereby improving the effectiveness of the regional soil carbon parameters, thereby achieving effective management of vegetation.

Description

Technical Field

[0001] The present invention relates to the technical field of soil analysis, and in particular to a method and device for intelligently analyzing the existence forms of soil carbon based on multi-source community information. Background Art

[0002] Soil carbon is a key indicator for evaluating soil quality and ecological conditions, comprehensively reflecting ecosystem function. Soil carbon provides the nutrients necessary for vegetation growth, enabling normal plant growth and development, and, through photosynthesis, better responding to the global greenhouse effect. Therefore, soil carbon has attracted considerable attention from researchers both domestically and internationally for the effective management of vegetation.

[0003] Currently, soil carbon analysis is typically performed by manually randomly collecting soil and analyzing its elemental composition. However, this traditional soil analysis method not only relies on the extensive analytical experience of researchers but also suffers from time lags in information analysis, making it difficult to provide a reliable scientific basis for sustainable vegetation management. Therefore, it is crucial to develop a method for accurately analyzing soil carbon. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method and device for intelligent analysis of the existence form of soil carbon based on multi-source community information, which not only solves the time lag problem of regional soil carbon element analysis, but also improves the reliability and accuracy of soil carbon element analysis, thereby improving the effectiveness of regional soil carbon element parameters, thereby realizing effective management of vegetation.

[0005] In order to solve the above technical problems, the first aspect of the present invention discloses an intelligent analysis method for soil carbon existence forms based on multi-source community information, the method comprising:

[0006] Obtaining plant community parameters for each sub-region to be determined for collection in the target area of ​​soil to be collected; the plant community parameters for each sub-region to be determined for collection include at least one of a plant community type parameter, a plant community quantity parameter, a plant community growth condition, a plant community leaf fall condition, and a plant community decay condition in the sub-region to be determined for collection;

[0007] Based on the plant community parameters of all the pending collection sub-areas, all target collection sub-areas that meet the soil collection conditions are determined from all the pending collection sub-areas, and regional parameters of each of the target collection sub-areas are determined; the regional parameters of each of the target collection sub-areas include at least one of the plant community parameters, terrain parameters, soil looseness, and plant community rooting conditions of the target collection sub-area;

[0008] determining soil collection parameters for each target collection sub-region according to the region parameters of each target collection sub-region; the soil collection parameters for each target collection sub-region comprising at least one of a soil collection plane range, a soil collection depth, and a soil collection weight parameter of the target collection sub-region;

[0009] collecting soil from each target collection sub-region according to the soil collection parameters of each target collection sub-region, and performing a carbon element composition analysis on the soil from each target collection sub-region to obtain a soil analysis result for each target collection sub-region;

[0010] Based on the soil analysis results of each target collection sub-area, the soil carbon element parameters of the target area are determined; the soil carbon element parameters of the target area include the soil carbon existence form parameters of the target area and the content parameters of each soil carbon existence form.

[0011] As an optional embodiment, in the first aspect of the present invention, determining all target collection sub-areas that meet soil collection conditions from all the pending collection sub-areas based on the plant community parameters of all the pending collection sub-areas includes:

[0012] When the plant community parameters of each of the pending collection sub-regions include the plant community type parameter, plant community quantity parameter, plant community growth condition, and plant community decay condition of the pending collection sub-region, the plant community reproduction similarity between each of the pending collection sub-regions is calculated based on the plant community type parameter and the corresponding plant community quantity parameter of each of the pending collection sub-regions;

[0013] According to the similarity of plant community reproduction between each of the pending collection sub-areas, all first collection sub-areas in which the similarity of plant community reproduction is less than or equal to a preset first similarity threshold are determined from all the pending collection sub-areas, and all the first collection sub-areas are determined as all target collection sub-areas that meet the soil collection conditions.

[0014] As an optional embodiment, in the first aspect of the present invention, the method further comprises:

[0015] Determining all second collection sub-regions in which the plant community reproduction similarity is greater than the first similarity threshold from all the pending collection sub-regions, and calculating the plant community survival similarity between each of the second collection sub-regions based on the plant community growth and corresponding plant community decay conditions in each second collection sub-region;

[0016] Based on the similarity of plant community survival between any two of the second collection sub-areas, all third collection sub-areas whose plant community survival similarity is less than or equal to a preset second similarity threshold are determined from all the second collection sub-areas, and all the third collection sub-areas are determined as all target collection sub-areas that meet the soil collection conditions.

[0017] As an optional embodiment, in the first aspect of the present invention, the method further comprises:

[0018] Determining all fourth collection sub-areas in which the similarity of the plant community survival is greater than the second similarity threshold from all the second collection sub-areas, and determining the animal community parameters of each of the fourth collection sub-areas; the animal community parameters of each of the fourth collection sub-areas include at least one of the excretion conditions of the animal community, the feeding conditions of the animal community, and the decay conditions of the animal community remains in the fourth collection sub-area;

[0019] Calculating the similarity of animal community conditions between any two of the fourth collection sub-areas based on the animal community parameters of each of the fourth collection sub-areas; the similarity of animal community conditions includes at least one of similarity of animal community excretion conditions, similarity of animal community feeding conditions, and similarity of animal community remains decay conditions;

[0020] Based on the similarity of the animal community conditions between each of the fourth collection sub-areas, all fifth collection sub-areas whose animal community similarity is less than or equal to a preset third similarity threshold are determined from all the fourth collection sub-areas, and all the fifth collection sub-areas are determined as all target collection sub-areas that meet the soil collection conditions.

[0021] As an optional embodiment, in the first aspect of the present invention, the soil analysis results of each target collection sub-region include regional soil carbon existence form parameters of the target collection sub-region and content parameters of each regional soil carbon existence form;

[0022] The step of determining the soil carbon parameter of the target area according to the soil analysis results of each target collection sub-area includes:

[0023] Determine the correlation between the plant community in each target collection sub-region and the regional soil carbon existence form based on the plant community parameters and corresponding soil analysis results of each target collection sub-region;

[0024] Predicting soil carbon element parameters of all uncollected sub-areas in the target area, based on the plant community parameters of all uncollected sub-areas except all the target collected sub-areas, and the correlation between the plant community parameters of all the target collected sub-areas and the regional soil carbon existence form; the soil carbon element parameters of each uncollected sub-area include the predicted soil carbon existence form parameters of the uncollected sub-area and the content parameters of each predicted soil carbon existence form;

[0025] The soil carbon element parameters of the target area are determined based on the soil analysis results of all the target collection sub-areas and the predicted soil carbon element parameters of all the uncollected sub-areas.

[0026] As an optional embodiment, in the first aspect of the present invention, determining the correlation between the plant community in each target collection sub-region and the regional soil carbon form based on the plant community parameters and corresponding soil analysis results of each target collection sub-region includes:

[0027] Determining microbial community parameters corresponding to the soil of each target collection sub-area; the microbial community parameters corresponding to the soil of each target collection sub-area include microbial community type parameters and / or microbial community quantity parameters;

[0028] For each of the target collection sub-regions, determining, based on the plant community parameters of the target collection sub-region, a first microbial community parameter that matches the plant community parameter from the microbial community parameters; the first microbial community parameter that matches the plant community parameter indicates a parameter of a first microbial community in the soil of the target collection sub-region that has a first interaction relationship with the plant community of the target collection sub-region;

[0029] determining first interaction relationship information between the plant community in the target collection sub-area and the first microbial community;

[0030] Determining whether corresponding target animal community parameters exist in the target collection sub-area; the target animal community parameters include animal community excretion conditions and / or animal community residue decay conditions;

[0031] When it is determined that the target animal community parameters do not exist in the target collection sub-area, the correlation between the community in the target collection sub-area and the regional soil carbon existence form is determined based on the first interaction relationship information, the plant community parameters in the target collection sub-area and the corresponding soil analysis results.

[0032] As an optional embodiment, in the first aspect of the present invention, the method further comprises:

[0033] When it is determined that the target animal community parameter exists in the target collection sub-area, determining a second microbial community parameter that matches the target animal community parameter from the microbial community parameters based on the target animal community parameter; the second microbial community parameter that matches the target animal community parameter indicates a parameter of a second microbial community in the soil of the target collection sub-area that has a second interactive relationship with the excrement and / or decayed remains of the animal community in the target collection sub-area;

[0034] Determining second interaction relationship information between the excrement and / or decayed remains of the animal community in the target collection sub-area and the second microbial community, and determining a correlation relationship between the community in the target collection sub-area and the regional soil carbon existence form based on the first interaction relationship information, the second interaction relationship information, the plant community parameters of the target collection sub-area, the target animal community parameters of the target collection sub-area, and the corresponding soil analysis results;

[0035] The method of predicting soil carbon element parameters of all uncollected sub-areas except all the target collected sub-areas according to the plant community parameters of all uncollected sub-areas in the target area and the correlation between the plant community parameters of all the target collected sub-areas and the regional soil carbon existence form includes:

[0036] For each uncollected sub-area in the target area except for all the target collected sub-areas, when the corresponding target animal community parameters exist in the uncollected sub-area, the soil carbon element parameters of the uncollected sub-area are predicted based on the correlation between the plant community parameters of the uncollected sub-area, the target animal community parameters, and the communities of all the target collected sub-areas and the regional soil carbon existence form;

[0037] When the target animal community parameters do not exist in the uncollected sub-area, the soil carbon element parameters of the uncollected sub-area are predicted based on the plant community parameters of the uncollected sub-area and the correlation between the communities of all the target collected sub-areas and the regional soil carbon existence forms.

[0038] The second aspect of the present invention discloses an intelligent analysis device for soil carbon existence forms based on multi-source community information, the device comprising:

[0039] an acquisition module for acquiring plant community parameters of each sub-region to be determined for collection in a target area of ​​soil to be collected; the plant community parameters of each sub-region to be determined for collection include at least one of a plant community type parameter, a plant community quantity parameter, a plant community growth condition, a plant community leaf fall condition, and a plant community decay condition in the sub-region to be determined for collection;

[0040] A first determining module is configured to determine all target collection sub-areas that meet soil collection conditions from all the to-be-determined collection sub-areas based on the plant community parameters of all the to-be-determined collection sub-areas;

[0041] a second determination module for determining regional parameters of each target collection sub-region; the regional parameters of each target collection sub-region include at least one of plant community parameters, terrain parameters, soil looseness, and plant community rooting conditions in the target collection sub-region; and determining soil collection parameters of each target collection sub-region based on the regional parameters of each target collection sub-region; the soil collection parameters of each target collection sub-region include at least one of soil collection plane range, soil collection depth, and soil collection weight parameters in the target collection sub-region;

[0042] an analysis module, configured to collect soil from each target collection sub-region according to the soil collection parameters of each target collection sub-region, and perform a carbon element composition analysis on the soil from each target collection sub-region to obtain a soil analysis result for each target collection sub-region;

[0043] The third determination module is used to determine the soil carbon element parameters of the target area based on the soil analysis results of each target collection sub-area; the soil carbon element parameters of the target area include the soil carbon existence form parameters of the target area and the content parameters of each soil carbon existence form.

[0044] As an optional embodiment, in the second aspect of the present invention, the first determination module determines all target collection sub-areas that meet the soil collection conditions from all the pending collection sub-areas based on the plant community parameters of all the pending collection sub-areas, specifically including:

[0045] When the plant community parameters of each of the pending collection sub-regions include the plant community type parameter, plant community quantity parameter, plant community growth condition, and plant community decay condition of the pending collection sub-region, the plant community reproduction similarity between each of the pending collection sub-regions is calculated based on the plant community type parameter and the corresponding plant community quantity parameter of each of the pending collection sub-regions;

[0046] According to the similarity of plant community reproduction between each of the pending collection sub-areas, all first collection sub-areas in which the similarity of plant community reproduction is less than or equal to a preset first similarity threshold are determined from all the pending collection sub-areas, and all the first collection sub-areas are determined as all target collection sub-areas that meet the soil collection conditions.

[0047] As an optional embodiment, in the second aspect of the present invention, the first determination module determines all target collection sub-areas that meet the soil collection conditions from all the pending collection sub-areas based on the plant community parameters of all the pending collection sub-areas, further comprising:

[0048] Determining all second collection sub-regions in which the plant community reproduction similarity is greater than the first similarity threshold from all the pending collection sub-regions, and calculating the plant community survival similarity between each of the second collection sub-regions based on the plant community growth and corresponding plant community decay conditions in each second collection sub-region;

[0049] Based on the similarity of plant community survival between any two of the second collection sub-areas, all third collection sub-areas whose plant community survival similarity is less than or equal to a preset second similarity threshold are determined from all the second collection sub-areas, and all the third collection sub-areas are determined as all target collection sub-areas that meet the soil collection conditions.

[0050] As an optional embodiment, in the second aspect of the present invention, the first determination module determines all target collection sub-areas that meet the soil collection conditions from all the pending collection sub-areas based on the plant community parameters of all the pending collection sub-areas, further comprising:

[0051] Determining all fourth collection sub-areas in which the similarity of the plant community survival is greater than the second similarity threshold from all the second collection sub-areas, and determining the animal community parameters of each of the fourth collection sub-areas; the animal community parameters of each of the fourth collection sub-areas include at least one of the excretion conditions of the animal community, the feeding conditions of the animal community, and the decay conditions of the animal community remains in the fourth collection sub-area;

[0052] Calculating the similarity of animal community conditions between any two of the fourth collection sub-areas based on the animal community parameters of each of the fourth collection sub-areas; the similarity of animal community conditions includes at least one of similarity of animal community excretion conditions, similarity of animal community feeding conditions, and similarity of animal community remains decay conditions;

[0053] Based on the similarity of the animal community conditions between each of the fourth collection sub-areas, all fifth collection sub-areas whose animal community similarity is less than or equal to a preset third similarity threshold are determined from all the fourth collection sub-areas, and all the fifth collection sub-areas are determined as all target collection sub-areas that meet the soil collection conditions.

[0054] As an optional embodiment, in the second aspect of the present invention, the soil analysis results of each target collection sub-region include regional soil carbon existence form parameters of the target collection sub-region and content parameters of each regional soil carbon existence form;

[0055] The third determination module determines the soil carbon parameter of the target area according to the soil analysis results of each target collection sub-area in the following manner:

[0056] Determine the correlation between the plant community in each target collection sub-region and the regional soil carbon existence form based on the plant community parameters and corresponding soil analysis results of each target collection sub-region;

[0057] Predicting soil carbon element parameters of all uncollected sub-areas in the target area, based on the plant community parameters of all uncollected sub-areas except all the target collected sub-areas, and the correlation between the plant community parameters of all the target collected sub-areas and the regional soil carbon existence form; the soil carbon element parameters of each uncollected sub-area include the predicted soil carbon existence form parameters of the uncollected sub-area and the content parameters of each predicted soil carbon existence form;

[0058] The soil carbon element parameters of the target area are determined based on the soil analysis results of all the target collection sub-areas and the predicted soil carbon element parameters of all the uncollected sub-areas.

[0059] As an optional embodiment, in the second aspect of the present invention, the third determination module determines the correlation between the plant community in each target collection sub-region and the regional soil carbon form based on the plant community parameters and corresponding soil analysis results of each target collection sub-region, specifically including:

[0060] Determining microbial community parameters corresponding to the soil of each target collection sub-area; the microbial community parameters corresponding to the soil of each target collection sub-area include microbial community type parameters and / or microbial community quantity parameters;

[0061] For each of the target collection sub-regions, determining, based on the plant community parameters of the target collection sub-region, a first microbial community parameter that matches the plant community parameter from the microbial community parameters; the first microbial community parameter that matches the plant community parameter indicates a parameter of a first microbial community in the soil of the target collection sub-region that has a first interaction relationship with the plant community of the target collection sub-region;

[0062] determining first interaction relationship information between the plant community in the target collection sub-area and the first microbial community;

[0063] Determining whether corresponding target animal community parameters exist in the target collection sub-area; the target animal community parameters include animal community excretion conditions and / or animal community residue decay conditions;

[0064] When it is determined that the target animal community parameters do not exist in the target collection sub-area, the correlation between the community in the target collection sub-area and the regional soil carbon existence form is determined based on the first interaction relationship information, the plant community parameters in the target collection sub-area and the corresponding soil analysis results.

[0065] As an optional embodiment, in the second aspect of the present invention, the third determination module determines the correlation between the plant community in each target collection sub-region and the regional soil carbon form based on the plant community parameters and corresponding soil analysis results of each target collection sub-region, further comprising:

[0066] When it is determined that the target animal community parameter exists in the target collection sub-area, determining a second microbial community parameter that matches the target animal community parameter from the microbial community parameters based on the target animal community parameter; the second microbial community parameter that matches the target animal community parameter indicates a parameter of a second microbial community in the soil of the target collection sub-area that has a second interactive relationship with the excrement and / or decayed remains of the animal community in the target collection sub-area;

[0067] Determining second interaction relationship information between the excrement and / or decayed remains of the animal community in the target collection sub-area and the second microbial community, and determining a correlation relationship between the community in the target collection sub-area and the regional soil carbon existence form based on the first interaction relationship information, the second interaction relationship information, the plant community parameters of the target collection sub-area, the target animal community parameters of the target collection sub-area, and the corresponding soil analysis results;

[0068] The third determination module predicts the soil carbon element parameters of all uncollected sub-areas except all the target collection sub-areas in the target area according to the plant community parameters of all uncollected sub-areas in the target area and the correlation between the plant community parameters of all the target collection sub-areas and the regional soil carbon existence form as follows:

[0069] For each uncollected sub-area in the target area except for all the target collected sub-areas, when the corresponding target animal community parameters exist in the uncollected sub-area, the soil carbon element parameters of the uncollected sub-area are predicted based on the correlation between the plant community parameters of the uncollected sub-area, the target animal community parameters, and the communities of all the target collected sub-areas and the regional soil carbon existence form;

[0070] When the target animal community parameters do not exist in the uncollected sub-area, the soil carbon element parameters of the uncollected sub-area are predicted based on the plant community parameters of the uncollected sub-area and the correlation between the communities of all the target collected sub-areas and the regional soil carbon existence forms.

[0071] A third aspect of the present invention discloses another intelligent analysis device for soil carbon presence forms based on multi-source community information, the device comprising:

[0072] a memory storing executable program code;

[0073] a processor coupled to the memory;

[0074] The processor calls the executable program code stored in the memory to execute the intelligent analysis method of soil carbon existence forms based on multi-source community information disclosed in the first aspect of the present invention.

[0075] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the intelligent analysis method of soil carbon existence form of multi-source community information disclosed in the first aspect of the present invention.

[0076] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0077] In an embodiment of the present invention, all target collection sub-areas that meet soil collection conditions are determined based on the determined plant community parameters of all pending collection sub-areas. Soil from each target collection sub-area is collected based on the regional parameters of each target collection sub-area. The carbon composition of the soil in each target collection sub-area is analyzed, and the soil carbon parameters of the target area are determined based on the soil analysis results for each target collection sub-area. Thus, the implementation of the present invention can intelligently analyze the soil carbon parameters of the entire area using the soil analysis results of multiple sub-areas. This not only solves the time lag problem of regional soil carbon analysis, but also improves the reliability and accuracy of soil carbon analysis, thereby increasing the effectiveness of the regional soil carbon parameters and achieving effective vegetation management. BRIEF DESCRIPTION OF THE DRAWINGS

[0078] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0079] Figure 1 This is a flow chart of an intelligent analysis method for soil carbon existence forms based on multi-source community information disclosed in an embodiment of the present invention;

[0080] Figure 2 This is a flow chart of another method for intelligently analyzing soil carbon forms based on multi-source community information disclosed in an embodiment of the present invention;

[0081] Figure 3 This is a schematic diagram of the structure of a device for intelligently analyzing soil carbon presence forms based on multi-source community information disclosed in an embodiment of the present invention;

[0082] Figure 4 It is a structural schematic diagram of another intelligent analysis device for soil carbon existence forms based on multi-source community information disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0083] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of 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 making creative efforts shall fall within the scope of protection of the present invention.

[0084] The terms "first," "second," and so on, in the description and claims of the present invention and the accompanying drawings are used to distinguish between different items, not to describe a specific order. Furthermore, the terms "including," "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product, or end comprising a series of steps or elements is not limited to the listed steps or elements but may optionally include steps or elements not listed therein, or may optionally include other steps or elements inherent to such process, method, product, or end.

[0085] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0086] The present invention discloses a method and device for intelligent analysis of soil carbon existence forms based on multi-source community information, which not only solves the time lag problem of regional soil carbon element analysis, but also improves the reliability and accuracy of soil carbon element analysis, thereby improving the effectiveness of regional soil carbon element parameters, thereby realizing effective management of vegetation.

[0087] Example 1

[0088] See also Figure 1 , Figure 1 This is a flow chart of an intelligent analysis method for soil carbon presence forms based on multi-source community information disclosed in an embodiment of the present invention. Figure 1 The described intelligent analysis method of soil carbon existence form of multi-source community information can be applied not only to the analysis of carbon elements in soils under various vegetation types, such as cold-temperate coniferous forests, deciduous broad-leaved forests, evergreen broad-leaved forests, monsoon forests, mangroves, deciduous broad-leaved shrubs, shrubs, grasslands, meadows and swamps, etc., but can also be applied to the analysis of other elements in the soil under a certain vegetation type, such as nitrogen, phosphorus, etc., which is not limited in the embodiment of the present invention. Optionally, the method can be implemented by a soil element analysis system, which can be integrated in a soil element analysis device, or can be a local server or cloud server for monitoring the soil element analysis process, etc., which is not limited in the embodiment of the present invention. Figure 1 As shown, the intelligent analysis method of soil carbon existence forms based on multi-source community information may include the following operations:

[0089] 101. Obtain plant community parameters of each to-be-determined collection sub-area in the target area where soil is to be collected.

[0090] In an embodiment of the present invention, the plant community parameters for each pending collection sub-area optionally include at least one of a plant community type parameter, a plant community quantity parameter, plant community growth, plant community leaf drop, and plant community decay within the pending collection sub-area. Furthermore, the plant community growth parameters optionally include plant community crown size, plant community trunk thickness, plant community height, plant community cluster size, and the like.

[0091] 102. Based on the plant community parameters of all pending collection sub-areas, determine all target collection sub-areas that meet the soil collection conditions from all pending collection sub-areas, and determine the regional parameters of each target collection sub-area.

[0092] In an embodiment of the present invention, the regional parameters of each target collection sub-area optionally include at least one of plant community parameters, terrain parameters, soil softness, and plant community rooting conditions in the target collection sub-area. Further optionally, the terrain parameters include mountain terrain parameters, hilly terrain parameters, basin terrain parameters, plateau terrain parameters, and plain terrain parameters, among others; and the plant community rooting conditions include the size of the plant community rooting range, the plant community rooting depth, the thickness of the plant community root system, the number of plant community roots, and the health of the plant community root system.

[0093] 103. Determine soil collection parameters for each target collection sub-area based on the area parameters of each target collection sub-area.

[0094] In this embodiment of the present invention, soil is collected from each target collection sub-area based on the principle of minimizing damage to plant communities and terrain. Optionally, the soil collection parameters for each target collection sub-area include at least one of a soil collection plane range, a soil collection depth, and a soil collection weight parameter for that target collection sub-area.

[0095] 104. Collect soil from each target collection sub-area according to the soil collection parameters of each target collection sub-area, and perform carbon element composition analysis on the soil from each target collection sub-area to obtain soil analysis results for each target collection sub-area.

[0096] In the embodiment of the present invention, further, the soil of each target collection sub-area may be analyzed for nitrogen and / or phosphorus element composition, thereby obtaining a soil analysis result of each target collection sub-area.

[0097] 105. Determine the soil carbon parameters of the target area based on the soil analysis results of each target collection sub-area.

[0098] In an embodiment of the present invention, optionally, the soil carbon element parameters of the target area include soil carbon existence form parameters and content parameters of each soil carbon existence form in the target area, wherein the soil carbon existence form parameters include inorganic carbon type and organic carbon type, and the organic carbon type includes recalcitrant organic carbon type and active organic carbon type.

[0099] It can be seen that the implementation of the embodiment of the present invention can intelligently analyze the soil carbon parameters of the entire area through the soil analysis results of multiple sub-areas. In this way, by targetedly determining multiple sub-areas that can effectively analyze the soil carbon parameters of the region to reduce the amount of data analysis, not only the time lag problem of regional soil carbon analysis is solved, but also the reliability and accuracy of regional soil carbon analysis are improved, thereby improving the effectiveness of regional soil carbon parameters, thereby realizing effective management of vegetation based on the analyzed regional soil carbon parameters.

[0100] In an optional embodiment, the above step 102, based on the plant community parameters of all the pending collection sub-areas, determines all target collection sub-areas that meet the soil collection conditions from all the pending collection sub-areas, including:

[0101] When the plant community parameters of each pending collection sub-region include the plant community type parameter, plant community quantity parameter, plant community growth condition, and plant community decay condition of the pending collection sub-region, the plant community reproduction similarity between each pending collection sub-region is calculated based on the plant community type parameter and the corresponding plant community quantity parameter of each pending collection sub-region;

[0102] According to the similarity of plant community reproduction between each pair of pending collection sub-areas, all first collection sub-areas whose plant community reproduction similarity is less than or equal to a preset first similarity threshold are determined from all pending collection sub-areas, and all first collection sub-areas are determined as all target collection sub-areas that meet the soil collection conditions.

[0103] In this optional embodiment, the sub-regions with large differences in plant community reproduction between sub-regions (i.e., large differences in the types and scales of the reproduced plant communities) are first determined from all the pending collection sub-regions, so as to reduce the collection workload and ensure the continuity of soil collection in the sub-regions in the target area, and try to collect all the first collection sub-region soils with regional soil characteristics, thereby ensuring the comprehensiveness of data collection under limited data.

[0104] It can be seen that this optional embodiment can determine all the first collection sub-areas where soil needs to be collected based on the calculated similarity of plant community reproduction between each sub-area. This is not only conducive to reducing the subsequent workload of soil data analysis, but also conducive to improving the efficiency of soil data analysis, thereby effectively solving the time lag problem of regional soil data analysis, and also conducive to ensuring the comprehensiveness and effectiveness of soil data analysis, and thus conducive to improving the reliability and accuracy of the soil carbon element parameters obtained in the area, thereby conducive to the effective management of vegetation.

[0105] In another optional embodiment, the method further includes:

[0106] Determine all second collection sub-areas whose plant community reproduction similarity is greater than the first similarity threshold from all pending collection sub-areas, and calculate the plant community survival similarity between any two second collection sub-areas based on the plant community growth and corresponding plant community decay conditions in each second collection sub-area;

[0107] Based on the similarity of plant community survival between any two second collection sub-areas, all third collection sub-areas whose plant community survival similarity is less than or equal to a preset second similarity threshold are determined from all second collection sub-areas, and all third collection sub-areas are determined as all target collection sub-areas that meet the soil collection conditions.

[0108] In this optional embodiment, third collection sub-regions with large differences in plant community survival (i.e., large differences in plant community survival between sub-regions of similar plant community type and scale) can also be determined from sub-regions with small differences in plant community reproduction, thereby further ensuring that soils from all third collection sub-regions with regional soil characteristics are collected as much as possible, thereby achieving comprehensive data collection under limited data.

[0109] It can be seen that this optional embodiment can further determine all third collection sub-areas where soil needs to be collected based on the calculated similarity of plant community survival between each sub-area. This is conducive to further improving the comprehensiveness of soil collection in the target area, and then conducive to improving the effectiveness of subsequent soil carbon element analysis in the target area, thereby helping to improve the reliability and accuracy of the soil carbon element parameters obtained in the target area.

[0110] In yet another optional embodiment, the method further includes:

[0111] Determine all fourth collection sub-areas whose plant community survival similarity is greater than a second similarity threshold from all second collection sub-areas, and determine the animal community parameters of each fourth collection sub-area;

[0112] According to the animal community parameters of each fourth collection sub-area, the similarity of the animal community conditions between any two fourth collection sub-areas is calculated;

[0113] Based on the similarity of the animal community conditions between any two fourth collection sub-areas, all fifth collection sub-areas whose animal community similarity is less than or equal to a preset third similarity threshold are determined from all fourth collection sub-areas, and all fifth collection sub-areas are determined as all target collection sub-areas that meet the soil collection conditions.

[0114] In this optional embodiment, it is also possible to determine the fifth collection sub-regions where the animal community survival and activity conditions differ significantly from each sub-region where plant community reproduction differs significantly but plant community survival and death differs less, thereby further ensuring that soil from all fifth collection sub-regions with regional soil characteristics is collected as much as possible, thereby further achieving comprehensive data collection under limited data. Optionally, the animal community parameters of each fourth collection sub-region include at least one of the animal community excretion conditions, animal community feeding conditions, and animal community residue decay conditions in the fourth collection sub-region, wherein the animal community feeding conditions can be understood as the landing conditions of the animal community's food residues. Further optionally, the animal community situation similarity includes at least one of the animal community excretion situation similarity, animal community feeding situation similarity, and animal community residue decay situation similarity.

[0115] It can be seen that this optional embodiment can further determine all the fifth collection sub-areas where soil needs to be collected based on the calculated similarity of the animal community conditions between the sub-areas, thereby realizing an intelligent method for determining the sub-areas where soil collection is required. This is conducive to further improving the comprehensiveness of soil collection in the target area, and then conducive to improving the comprehensiveness and effectiveness of subsequent soil carbon element analysis in the target area, thereby helping to improve the reliability and accuracy of the soil carbon element parameters obtained in the target area.

[0116] Example 2

[0117] See also Figure 2 , Figure 2 This is a flow chart of an intelligent analysis method for soil carbon presence forms based on multi-source community information disclosed in an embodiment of the present invention. Figure 2 The described intelligent analysis method of soil carbon existence form of multi-source community information can be applied to analyze carbon elements in soils under various vegetation types, such as cold-temperate coniferous forests, deciduous broad-leaved forests, evergreen broad-leaved forests, monsoon forests, mangroves, deciduous broad-leaved shrubs, shrubs, grasslands, meadows and swamps, etc., which are not limited in the embodiments of the present invention. Optionally, the method can be implemented by a soil element analysis system, which can be integrated into a soil element analysis device, or can be a local server or cloud server for monitoring the soil element analysis process, etc., which are not limited in the embodiments of the present invention. Figure 2 As shown, the intelligent analysis method of soil carbon existence forms based on multi-source community information may include the following operations:

[0118] 201. Obtain plant community parameters of each to-be-determined collection sub-area in the target area where soil is to be collected.

[0119] 202. Based on the plant community parameters of all pending collection sub-areas, determine all target collection sub-areas that meet the soil collection conditions from all pending collection sub-areas, and determine the regional parameters of each target collection sub-area.

[0120] 203. Determine soil collection parameters for each target collection sub-area based on the area parameters of each target collection sub-area.

[0121] 204. Collect soil from each target collection sub-area according to the soil collection parameters of each target collection sub-area, and perform carbon element composition analysis on the soil from each target collection sub-area to obtain soil analysis results for each target collection sub-area.

[0122] 205. Based on the plant community parameters of each target collection sub-region and the corresponding soil analysis results, determine the correlation between the community in each target collection sub-region and the regional soil carbon existence form.

[0123] In this embodiment of the present invention, the soil analysis results for each target collection sub-region optionally include parameters for the regional soil carbon form in the target collection sub-region and content parameters for each regional soil carbon form. Furthermore, optionally, the parameters for the regional soil carbon form include inorganic carbon types and organic carbon types, and the organic carbon types include recalcitrant organic carbon types and active organic carbon types.

[0124] 206. Predict the soil carbon parameters of all uncollected sub-areas in the target area based on the plant community parameters of all uncollected sub-areas except all target collected sub-areas and the correlation between the plant community parameters of all target collected sub-areas and the regional soil carbon existence form.

[0125] In this embodiment of the present invention, the soil carbon element parameter for each uncollected sub-region optionally includes a parameter for the predicted soil carbon form in the uncollected sub-region and a content parameter for each predicted soil carbon form. Similarly, the predicted soil carbon form parameter includes an inorganic carbon type and an organic carbon type.

[0126] 207. Determine the soil carbon parameters of the target area based on the soil analysis results of all target sampled sub-areas and the predicted soil carbon parameters of all unsampled sub-areas.

[0127] In this embodiment of the present invention, soil carbon parameters for the entire region are integrated using the soil analysis results for all target sub-regions where soil was collected and the predicted soil carbon parameters for all sub-regions where soil was not collected. Optionally, the soil carbon parameters for the target region include parameters for the soil carbon forms in the target region, parameters for the content of each soil carbon form, and the distribution of each soil carbon form.

[0128] In the embodiment of the present invention, for other descriptions of steps 201 to 204 , please refer to the detailed description of steps 101 to 104 in the first embodiment, which will not be repeated in the embodiment of the present invention.

[0129] It can be seen that the implementation of the embodiment of the present invention can predict the soil carbon element parameters of all uncollected sub-areas where soil has not been collected by using the soil analysis results of all target collected sub-areas where soil has been collected, thereby obtaining the soil carbon element parameters of the entire target area. In this way, the workload of soil data analysis in the target area can be effectively reduced, and the efficiency of soil data analysis in the target area can be improved, thereby effectively solving the time lag problem of soil data analysis in the target area; at the same time, the reliability and accuracy of soil data analysis in the target area can also be improved, so that vegetation can be effectively managed based on the analyzed soil carbon element parameters of the target area.

[0130] In an optional embodiment, the above step 205, based on the plant community parameters of each target collection sub-region and the corresponding soil analysis results, determines the correlation between the community in each target collection sub-region and the regional soil carbon existence form, including:

[0131] Determine the microbial community parameters corresponding to the soil in each target collection sub-area;

[0132] For each target collection sub-area, determining a first microbial community parameter that matches the plant community parameter from the microbial community parameters according to the plant community parameter of the target collection sub-area;

[0133] determining first interaction relationship information between the plant community and the first microbial community in the target collection sub-area;

[0134] Determine whether the target collection sub-area has corresponding target animal community parameters;

[0135] When it is determined that the target animal community parameters do not exist in the target collection sub-area, the correlation between the community in the target collection sub-area and the regional soil carbon existence form is determined based on the first interaction relationship information, the plant community parameters in the target collection sub-area and the corresponding soil analysis results.

[0136] In this optional embodiment, optionally, the microbial community parameters corresponding to the soil of each target collection sub-area include microbial community type parameters and / or microbial community quantity parameters. Specifically, the first microbial community parameters that match the plant community parameters indicate the parameters of the first microbial community in the soil of the target collection sub-area that has a first interaction relationship with the plant community in the target collection sub-area. Further optionally, the target animal community parameters include the excretion of the animal community and / or the decay of the animal community residues. It should be noted that the microbial community in the soil will interact with the excrement / decayed residues of the plant community and the animal community, and this interaction will affect the type and content of elements in the soil. Therefore, it is necessary to determine the interaction relationship information between the microbial community and the excrement / decayed residues of the plant community and the animal community.

[0137] It can be seen that this optional embodiment can analyze the correlation between the community in the target collection sub-area and the regional soil carbon existence form by determining the first interaction relationship information between the plant community in the target collection sub-area and the first microbial community. This is conducive to improving the reliability and accuracy of the analysis of the correlation between the community in the target collection sub-area and the regional soil carbon existence form, and thus is conducive to improving the subsequent prediction reliability and accuracy of the soil carbon element parameters of the uncollected sub-area, thereby facilitating the accuracy of the analysis of the soil carbon element parameters in the target area.

[0138] In another optional embodiment, the method further includes:

[0139] When it is determined that the target animal community parameter exists in the target collection sub-area, a second microbial community parameter matching the target animal community parameter is determined from the microbial community parameters according to the target animal community parameter;

[0140] Determine the second interaction relationship information between the excrement and / or decayed remains of the animal community in the target collection sub-area and the second microbial community, and determine the correlation between the community in the target collection sub-area and the regional soil carbon existence form based on the first interaction relationship information, the second interaction relationship information, the plant community parameters of the target collection sub-area, the target animal community parameters of the target collection sub-area, and the corresponding soil analysis results.

[0141] In this optional embodiment, specifically, the second microbial community parameters that match the target animal community parameters indicate parameters of a second microbial community in the soil of the target collection sub-area that has a second interaction relationship with the excrement and / or decayed remains of the animal community in the target collection sub-area.

[0142] Furthermore, as an optional embodiment, based on the plant community parameters of all uncollected sub-areas in the target area except all target collected sub-areas and the correlation between the plant community parameters of all target collected sub-areas and the regional soil carbon existence form, the soil carbon element parameters of all uncollected sub-areas are predicted, including:

[0143] For each uncollected sub-area in the target area except for all target collected sub-areas, if the corresponding target animal community parameters exist in the uncollected sub-area, the soil carbon parameters of the uncollected sub-area are predicted based on the correlation between the plant community parameters, target animal community parameters, and the communities of all target collected sub-areas and the regional soil carbon forms;

[0144] When the target animal community parameters do not exist in the uncollected sub-area, the soil carbon element parameters of the uncollected sub-area are predicted based on the plant community parameters of the uncollected sub-area and the correlation between the communities of all target collected sub-areas and the regional soil carbon existence forms.

[0145] In this optional embodiment, that is, when the corresponding target animal community parameters exist in the uncollected sub-area, the microbial community parameters corresponding to the uncollected sub-area and the interaction relationship information between the excrement / decayed remains of the animal community and the microbial community, and between the plant community and the microbial community can be predicted based on the target animal community parameters and its plant community parameters, the correlation between the communities of all target collected sub-areas and the regional soil carbon existence form, so as to predict the soil carbon element parameters of the uncollected sub-area based on the above parameters and information; and similarly, when the corresponding target animal community parameters do not exist in the uncollected sub-area, the microbial community parameters corresponding to the uncollected sub-area and the interaction relationship information between the plant community and the microbial community can be predicted based on the correlation between the plant community parameters, the communities of all target collected sub-areas and the regional soil carbon existence form, so as to predict the soil carbon element parameters of the uncollected sub-area based on the above parameters and information.

[0146] Optionally, before predicting the soil carbon element parameters of a certain uncollected sub-area, the weight corresponding to the correlation between the community and the regional soil carbon existence form of each target collection sub-area can be determined based on the regional distance between the uncollected sub-area and each target collection sub-area, and then the soil carbon element parameters of the uncollected sub-area can be predicted based on the relevant community parameters of the uncollected sub-area, the correlation between the community and the regional soil carbon existence form of all target collection sub-areas and the corresponding weights.

[0147] It can be seen that this optional embodiment can also analyze the correlation between the community in the target collection sub-area and the regional soil carbon existence form based on the second interaction relationship information between the excrement and / or decayed remains of the animal community in the determined target collection sub-area and the second microbial community. This is conducive to further improving the analysis reliability and accuracy of the correlation between the community in the target collection sub-area and the regional soil carbon existence form, and thus is conducive to comprehensively improving the subsequent prediction reliability and accuracy of the soil carbon element parameters of the uncollected sub-area, thereby facilitating further achieving the accuracy of the analysis of the soil carbon element parameters in the target area.

[0148] Example 3

[0149] See also Figure 3 , Figure 3 This is a schematic diagram of the structure of a device for intelligently analyzing the existence of soil carbon based on multi-source community information disclosed in an embodiment of the present invention. Figure 3 As shown, the intelligent analysis device for soil carbon existence forms of multi-source community information may include:

[0150] An acquisition module 301 is used to acquire plant community parameters of each to-be-determined collection sub-area in the target area of ​​soil to be collected;

[0151] The first determination module 302 is configured to determine all target collection sub-areas that meet soil collection conditions from all the pending collection sub-areas based on the plant community parameters of all the pending collection sub-areas;

[0152] The second determination module 303 is used to determine the regional parameters of each target acquisition sub-region; based on the regional parameters of each target acquisition sub-region, the soil acquisition parameters of each target acquisition sub-region are determined;

[0153] An analysis module 304 is configured to collect soil from each target collection sub-region based on the soil collection parameters of each target collection sub-region, and perform a carbon element composition analysis on the soil from each target collection sub-region to obtain a soil analysis result for each target collection sub-region;

[0154] The third determination module 305 is configured to determine the soil carbon parameter of the target area according to the soil analysis results of each target collection sub-area.

[0155] In an embodiment of the present invention, optionally, the plant community parameters of each pending collection sub-area include at least one of the plant community type parameter, plant community quantity parameter, plant community growth condition, plant community leaf fall condition, and plant community decay condition of the pending collection sub-area. Further optionally, the regional parameters of each target collection sub-area include at least one of the plant community parameter, terrain parameter, soil looseness condition, and plant community rooting condition of the target collection sub-area. Still further optionally, the soil collection parameters of each target collection sub-area include at least one of the soil collection plane range, soil collection depth, and soil collection weight parameter of the target collection sub-area. Still further optionally, the soil carbon element parameters of the target area include the soil carbon existence form parameter of the target area and the content parameter of each soil carbon existence form.

[0156] It can be seen that implementation Figure 3 The described intelligent analysis device for soil carbon existence forms of multi-source community information can intelligently analyze the soil carbon element parameters of the entire area through the soil analysis results of multiple sub-areas. In this way, by targetedly determining multiple sub-areas that can effectively analyze the soil carbon element parameters of the region to reduce the amount of data analysis, it not only solves the time lag problem of regional soil carbon element analysis, but also improves the reliability and accuracy of regional soil carbon element analysis, thereby improving the effectiveness of regional soil carbon element parameters, thereby realizing effective management of vegetation based on the analyzed regional soil carbon element parameters.

[0157] In an optional embodiment, the first determining module 302 determines all target collection sub-areas that meet the soil collection conditions from all the pending collection sub-areas based on the plant community parameters of all the pending collection sub-areas by:

[0158] When the plant community parameters of each pending collection sub-region include the plant community type parameter, plant community quantity parameter, plant community growth condition, and plant community decay condition of the pending collection sub-region, the plant community reproduction similarity between each pending collection sub-region is calculated based on the plant community type parameter and the corresponding plant community quantity parameter of each pending collection sub-region;

[0159] According to the similarity of plant community reproduction between each pair of pending collection sub-areas, all first collection sub-areas whose plant community reproduction similarity is less than or equal to a preset first similarity threshold are determined from all pending collection sub-areas, and all first collection sub-areas are determined as all target collection sub-areas that meet the soil collection conditions.

[0160] It can be seen that implementation Figure 3The described intelligent analysis device for the existence form of soil carbon based on multi-source community information can determine all the first collection sub-areas where soil needs to be collected based on the calculated similarity of plant community reproduction between each sub-area. This is not only conducive to reducing the subsequent workload of soil data analysis, but also conducive to improving the efficiency of soil data analysis, thereby effectively solving the time lag problem of regional soil data analysis, and also conducive to ensuring the comprehensiveness and effectiveness of soil data analysis, thereby conducive to improving the reliability and accuracy of the obtained regional soil carbon element parameters, thereby conducive to the effective management of vegetation.

[0161] In another optional embodiment, the first determining module 302 determines all target collection sub-areas that meet the soil collection conditions from all the pending collection sub-areas based on the plant community parameters of all the pending collection sub-areas, further comprising:

[0162] Determine all second collection sub-areas whose plant community reproduction similarity is greater than the first similarity threshold from all pending collection sub-areas, and calculate the plant community survival similarity between any two second collection sub-areas based on the plant community growth and corresponding plant community decay conditions in each second collection sub-area;

[0163] Based on the similarity of plant community survival between any two second collection sub-areas, all third collection sub-areas whose plant community survival similarity is less than or equal to a preset second similarity threshold are determined from all second collection sub-areas, and all third collection sub-areas are determined as all target collection sub-areas that meet the soil collection conditions.

[0164] It can be seen that implementation Figure 3 The described intelligent analysis device for soil carbon existence forms of multi-source community information can further determine all third collection sub-areas where soil needs to be collected based on the calculated similarity of plant community survival between each sub-area. This is conducive to further improving the comprehensiveness of soil collection in the target area, and then conducive to improving the effectiveness of subsequent soil carbon element analysis in the target area, thereby helping to improve the reliability and accuracy of the soil carbon element parameters obtained in the target area.

[0165] In another optional embodiment, the first determining module 302 determines all target collection sub-areas that meet the soil collection conditions from all pending collection sub-areas based on the plant community parameters of all pending collection sub-areas, further comprising:

[0166] Determine all fourth collection sub-areas whose plant community survival similarity is greater than a second similarity threshold from all second collection sub-areas, and determine the animal community parameters of each fourth collection sub-area;

[0167] According to the animal community parameters of each fourth collection sub-area, the similarity of the animal community conditions between any two fourth collection sub-areas is calculated;

[0168] Based on the similarity of the animal community conditions between any two fourth collection sub-areas, all fifth collection sub-areas whose animal community similarity is less than or equal to a preset third similarity threshold are determined from all fourth collection sub-areas, and all fifth collection sub-areas are determined as all target collection sub-areas that meet the soil collection conditions.

[0169] In this optional embodiment, the animal community parameters of each fourth collection sub-area include at least one of the animal community excretion conditions, animal community feeding conditions, and animal community remains decay conditions in the fourth collection sub-area; the animal community situation similarity includes at least one of the animal community excretion situation similarity, animal community feeding situation similarity, and animal community remains decay situation similarity.

[0170] It can be seen that implementation Figure 3 The described intelligent analysis device for the existence form of soil carbon based on multi-source community information can further determine all fifth collection sub-areas where soil needs to be collected based on the calculated similarity of the animal community conditions between the sub-areas, thereby realizing an intelligent method for determining the sub-areas where soil collection is required. This is conducive to further improving the comprehensiveness of soil collection in the target area, and then conducive to improving the comprehensiveness and effectiveness of subsequent soil carbon element analysis in the target area, thereby conducive to improving the reliability and accuracy of the soil carbon element parameters obtained in the target area.

[0171] In another optional embodiment, the third determination module 305 determines the soil carbon parameter of the target area according to the soil analysis results of each target collection sub-area in the following manner:

[0172] Based on the plant community parameters and corresponding soil analysis results of each target collection sub-area, the correlation between the community in each target collection sub-area and the regional soil carbon existence form was determined;

[0173] Based on the plant community parameters of all uncollected sub-areas in the target area except all the target collected sub-areas and the correlation between the plant community parameters of all the target collected sub-areas and the regional soil carbon existence forms, the soil carbon element parameters of all uncollected sub-areas are predicted;

[0174] The soil carbon parameters of the target area are determined based on the soil analysis results of all target collection sub-areas and the predicted soil carbon parameters of all uncollected sub-areas.

[0175] In this optional embodiment, the soil analysis results of each target collection sub-area include the regional soil carbon existence form parameters of the target collection sub-area and the content parameters of each regional soil carbon existence form; the soil carbon element parameters of each uncollected sub-area include the predicted soil carbon existence form parameters of the uncollected sub-area and the content parameters of each predicted soil carbon existence form.

[0176] It can be seen that implementation Figure 3 The described intelligent analysis device for soil carbon existence forms of multi-source community information can predict the soil carbon element parameters of all uncollected sub-areas where soil has not been collected by using the soil analysis results of all target collected sub-areas where soil has been collected, thereby obtaining the soil carbon element parameters of the entire target area. In this way, the workload of soil data analysis in the target area can be effectively reduced, and the efficiency of soil data analysis in the target area can be improved, thereby effectively solving the time lag problem of soil data analysis in the target area; at the same time, the reliability and accuracy of soil data analysis in the target area can also be improved, so that effective management of vegetation can be carried out based on the analyzed soil carbon element parameters of the target area.

[0177] In another optional embodiment, the third determination module 305 determines the correlation between the plant community and the regional soil carbon form in each target collection sub-region based on the plant community parameters and the corresponding soil analysis results of each target collection sub-region, specifically including:

[0178] Determine the microbial community parameters corresponding to the soil in each target collection sub-area;

[0179] For each target collection sub-area, determining a first microbial community parameter that matches the plant community parameter from the microbial community parameters according to the plant community parameter of the target collection sub-area;

[0180] determining first interaction relationship information between the plant community and the first microbial community in the target collection sub-area;

[0181] Determine whether the target collection sub-area has corresponding target animal community parameters;

[0182] When it is determined that the target animal community parameters do not exist in the target collection sub-area, the correlation between the community in the target collection sub-area and the regional soil carbon existence form is determined based on the first interaction relationship information, the plant community parameters in the target collection sub-area and the corresponding soil analysis results.

[0183] In this optional embodiment, the microbial community parameters corresponding to the soil of each target collection sub-area optionally include microbial community type parameters and / or microbial community quantity parameters. Specifically, the first microbial community parameters matching the plant community parameters indicate parameters of a first microbial community in the soil of the target collection sub-area that has a first interaction relationship with the plant community in the target collection sub-area. Further optionally, the target animal community parameters include animal community excretion and / or animal community residue decay.

[0184] It can be seen that implementation Figure 3 The described intelligent analysis device for soil carbon existence forms of multi-source community information can analyze the correlation between the community in the target collection sub-area and the regional soil carbon existence form by determining the first interaction relationship information between the plant community in the target collection sub-area and the first microbial community. This is conducive to improving the reliability and accuracy of the analysis of the correlation between the community in the target collection sub-area and the regional soil carbon existence form, and further conducive to improving the subsequent prediction reliability and accuracy of soil carbon element parameters in uncollected sub-areas, thereby facilitating the accuracy of the analysis of soil carbon element parameters in the target area.

[0185] In another optional embodiment, the third determination module 305 determines the correlation between the plant community and the regional soil carbon form in each target collection sub-region based on the plant community parameters and the corresponding soil analysis results of each target collection sub-region, further comprising:

[0186] When it is determined that the target animal community parameter exists in the target collection sub-area, a second microbial community parameter matching the target animal community parameter is determined from the microbial community parameters according to the target animal community parameter;

[0187] Determine the second interaction relationship information between the excrement and / or decayed remains of the animal community in the target collection sub-area and the second microbial community, and determine the correlation between the community in the target collection sub-area and the regional soil carbon existence form based on the first interaction relationship information, the second interaction relationship information, the plant community parameters of the target collection sub-area, the target animal community parameters of the target collection sub-area, and the corresponding soil analysis results.

[0188] Furthermore, as an optional embodiment, the third determination module 305 predicts the soil carbon element parameters of all uncollected sub-areas in the target area based on the plant community parameters of all uncollected sub-areas except all target collected sub-areas and the correlation between the plant community parameters of all target collected sub-areas and the regional soil carbon existence form as follows:

[0189] For each uncollected sub-area in the target area except for all target collected sub-areas, if the corresponding target animal community parameters exist in the uncollected sub-area, the soil carbon parameters of the uncollected sub-area are predicted based on the correlation between the plant community parameters, target animal community parameters, and the communities of all target collected sub-areas and the regional soil carbon forms;

[0190] When the target animal community parameters do not exist in the uncollected sub-area, the soil carbon element parameters of the uncollected sub-area are predicted based on the plant community parameters of the uncollected sub-area and the correlation between the communities of all target collected sub-areas and the regional soil carbon existence forms.

[0191] In this optional embodiment, the second microbial community parameters that match the target animal community parameters indicate parameters of a second microbial community in the soil of the target collection sub-area that has a second interactive relationship with the excrement and / or decaying remains of the animal community in the target collection sub-area.

[0192] It can be seen that implementation Figure 3 The described intelligent analysis device for soil carbon existence forms of multi-source community information can also analyze the correlation between the community in the target collection sub-area and the regional soil carbon existence form based on the second interaction relationship information between the excrement and / or decayed remains of the animal community in the determined target collection sub-area and the second microbial community. This is conducive to further improving the analysis reliability and accuracy of the correlation between the community in the target collection sub-area and the regional soil carbon existence form, and thus is conducive to comprehensively improving the subsequent prediction reliability and accuracy of soil carbon element parameters in uncollected sub-areas, thereby further achieving the accuracy of the analysis of soil carbon element parameters in the target area.

[0193] Example 4

[0194] See also Figure 4 , Figure 4 This is a schematic diagram of the structure of another intelligent analysis device for soil carbon existence form of multi-source community information disclosed in an embodiment of the present invention. Figure 4 As shown, the intelligent analysis device for soil carbon existence forms of multi-source community information may include:

[0195] A memory 401 storing executable program code;

[0196] a processor 402 coupled to the memory 401;

[0197] The processor 402 calls the executable program code stored in the memory 401 to execute the steps of the method for intelligent analysis of soil carbon existence forms based on multi-source community information described in the first embodiment or the second embodiment of the present invention.

[0198] Example 5

[0199] An embodiment of the present invention discloses a computer storage medium storing computer instructions. When the computer instructions are called, they are used to execute the steps of the intelligent analysis method of soil carbon existence forms of multi-source community information described in embodiment 1 or embodiment 2 of the present invention.

[0200] Example 6

[0201] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps of the intelligent analysis method of soil carbon existence forms of multi-source community information described in Example 1 or Example 2.

[0202] The device embodiments described above are merely illustrative, wherein the modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, i.e., they may be located in one place or distributed across multiple network modules. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Those skilled in the art can understand and implement the present invention without inventive effort.

[0203] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus the necessary general hardware platform, or of course, by means of hardware. Based on this understanding, the above technical solution, in essence, or the portion that contributes to the prior art, can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, including a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0204] Finally, it should be noted that the method and device for intelligent analysis of soil carbon existence forms based on multi-source community information disclosed in the embodiment of the present invention only disclose a preferred embodiment of the present invention, which is only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. An intelligent analysis method for soil carbon existence forms based on multi-source community information, characterized in that: The method comprises: Obtaining plant community parameters for each sub-region to be determined for collection in the target area of ​​soil to be collected; the plant community parameters for each sub-region to be determined for collection include at least one of a plant community type parameter, a plant community quantity parameter, a plant community growth condition, a plant community leaf fall condition, and a plant community decay condition in the sub-region to be determined for collection; Based on the plant community parameters of all the pending collection sub-areas, all target collection sub-areas that meet the soil collection conditions are determined from all the pending collection sub-areas, and regional parameters of each of the target collection sub-areas are determined; the regional parameters of each of the target collection sub-areas include at least one of the plant community parameters, terrain parameters, soil looseness, and plant community rooting conditions of the target collection sub-area; determining soil collection parameters for each target collection sub-region according to the region parameters of each target collection sub-region; the soil collection parameters for each target collection sub-region comprising at least one of a soil collection plane range, a soil collection depth, and a soil collection weight parameter of the target collection sub-region; collecting soil from each target collection sub-region according to the soil collection parameters of each target collection sub-region, and performing a carbon element composition analysis on the soil from each target collection sub-region to obtain a soil analysis result for each target collection sub-region; Based on the soil analysis results of each target collection sub-area, the soil carbon element parameters of the target area are determined; the soil carbon element parameters of the target area include the soil carbon existence form parameters of the target area and the content parameters of each soil carbon existence form.

2. The intelligent analysis method for soil carbon existence forms based on multi-source community information according to claim 1 is characterized in that: The step of determining all target collection sub-areas that meet soil collection conditions from all the to-be-determined collection sub-areas based on the plant community parameters of all the to-be-determined collection sub-areas includes: When the plant community parameters of each of the pending collection sub-regions include the plant community type parameter, plant community quantity parameter, plant community growth condition, and plant community decay condition of the pending collection sub-region, the plant community reproduction similarity between each of the pending collection sub-regions is calculated based on the plant community type parameter and the corresponding plant community quantity parameter of each of the pending collection sub-regions; According to the similarity of plant community reproduction between each of the pending collection sub-areas, all first collection sub-areas in which the similarity of plant community reproduction is less than or equal to a preset first similarity threshold are determined from all the pending collection sub-areas, and all the first collection sub-areas are determined as all target collection sub-areas that meet the soil collection conditions.

3. The method for intelligent analysis of soil carbon existence forms based on multi-source community information according to claim 2, characterized in that: The method further comprises: Determining all second collection sub-regions in which the plant community reproduction similarity is greater than the first similarity threshold from all the pending collection sub-regions, and calculating the plant community survival similarity between each of the second collection sub-regions based on the plant community growth and corresponding plant community decay conditions in each second collection sub-region; Based on the similarity of plant community survival between any two of the second collection sub-areas, all third collection sub-areas whose plant community survival similarity is less than or equal to a preset second similarity threshold are determined from all the second collection sub-areas, and all the third collection sub-areas are determined as all target collection sub-areas that meet the soil collection conditions.

4. The method for intelligent analysis of soil carbon existence forms based on multi-source community information according to claim 3, characterized in that: The method further comprises: Determining all fourth collection sub-areas in which the similarity of the plant community survival is greater than the second similarity threshold from all the second collection sub-areas, and determining the animal community parameters of each of the fourth collection sub-areas; the animal community parameters of each of the fourth collection sub-areas include at least one of the excretion conditions of the animal community, the feeding conditions of the animal community, and the decay conditions of the animal community remains in the fourth collection sub-area; Calculating the similarity of animal community conditions between any two of the fourth collection sub-areas based on the animal community parameters of each of the fourth collection sub-areas; the similarity of animal community conditions includes at least one of similarity of animal community excretion conditions, similarity of animal community feeding conditions, and similarity of animal community remains decay conditions; Based on the similarity of the animal community conditions between each of the fourth collection sub-areas, all fifth collection sub-areas whose animal community similarity is less than or equal to a preset third similarity threshold are determined from all the fourth collection sub-areas, and all the fifth collection sub-areas are determined as all target collection sub-areas that meet the soil collection conditions.

5. The method for intelligent analysis of soil carbon existence forms based on multi-source community information according to any one of claims 1 to 4, characterized in that: The soil analysis results of each target collection sub-area include parameters of regional soil carbon existence form in the target collection sub-area and content parameters of each regional soil carbon existence form; The step of determining the soil carbon parameter of the target area according to the soil analysis results of each target collection sub-area includes: Determine the correlation between the plant community in each target collection sub-region and the regional soil carbon existence form based on the plant community parameters and corresponding soil analysis results of each target collection sub-region; Predicting soil carbon element parameters of all uncollected sub-areas in the target area, based on the plant community parameters of all uncollected sub-areas except all the target collected sub-areas, and the correlation between the plant community parameters of all the target collected sub-areas and the regional soil carbon existence form; the soil carbon element parameters of each uncollected sub-area include the predicted soil carbon existence form parameters of the uncollected sub-area and the content parameters of each predicted soil carbon existence form; The soil carbon element parameters of the target area are determined based on the soil analysis results of all the target collection sub-areas and the predicted soil carbon element parameters of all the uncollected sub-areas.

6. The method for intelligent analysis of soil carbon existence forms based on multi-source community information according to claim 5, characterized in that: Determining the correlation between the plant community in each target collection sub-region and the regional soil carbon existence form based on the plant community parameters and the corresponding soil analysis results of each target collection sub-region includes: Determining microbial community parameters corresponding to the soil of each target collection sub-area; the microbial community parameters corresponding to the soil of each target collection sub-area include microbial community type parameters and / or microbial community quantity parameters; For each of the target collection sub-regions, determining, based on the plant community parameters of the target collection sub-region, a first microbial community parameter that matches the plant community parameter from the microbial community parameters; the first microbial community parameter that matches the plant community parameter indicates a parameter of a first microbial community in the soil of the target collection sub-region that has a first interaction relationship with the plant community of the target collection sub-region; determining first interaction relationship information between the plant community in the target collection sub-area and the first microbial community; Determining whether corresponding target animal community parameters exist in the target collection sub-area; the target animal community parameters include animal community excretion conditions and / or animal community residue decay conditions; When it is determined that the target animal community parameters do not exist in the target collection sub-area, the correlation between the community in the target collection sub-area and the regional soil carbon existence form is determined based on the first interaction relationship information, the plant community parameters in the target collection sub-area and the corresponding soil analysis results.

7. The method for intelligent analysis of soil carbon forms based on multi-source community information according to claim 6, characterized in that: The method further comprises: When it is determined that the target animal community parameter exists in the target collection sub-area, determining a second microbial community parameter that matches the target animal community parameter from the microbial community parameters based on the target animal community parameter; the second microbial community parameter that matches the target animal community parameter indicates a parameter of a second microbial community in the soil of the target collection sub-area that has a second interactive relationship with the excrement and / or decayed remains of the animal community in the target collection sub-area; Determining second interaction relationship information between the excrement and / or decayed remains of the animal community in the target collection sub-area and the second microbial community, and determining a correlation relationship between the community in the target collection sub-area and the regional soil carbon existence form based on the first interaction relationship information, the second interaction relationship information, the plant community parameters of the target collection sub-area, the target animal community parameters of the target collection sub-area, and the corresponding soil analysis results; The method of predicting soil carbon element parameters of all uncollected sub-areas except all the target collected sub-areas according to the plant community parameters of all uncollected sub-areas in the target area and the correlation between the plant community parameters of all the target collected sub-areas and the regional soil carbon existence form includes: For each uncollected sub-area in the target area except for all the target collected sub-areas, when the corresponding target animal community parameters exist in the uncollected sub-area, the soil carbon element parameters of the uncollected sub-area are predicted based on the correlation between the plant community parameters of the uncollected sub-area, the target animal community parameters, and the communities of all the target collected sub-areas and the regional soil carbon existence form; When the target animal community parameters do not exist in the uncollected sub-area, the soil carbon element parameters of the uncollected sub-area are predicted based on the plant community parameters of the uncollected sub-area and the correlation between the communities of all the target collected sub-areas and the regional soil carbon existence forms.

8. An intelligent analysis device for soil carbon existence forms based on multi-source community information, characterized in that: The device comprises: an acquisition module for acquiring plant community parameters of each sub-region to be determined for collection in a target area of ​​soil to be collected; the plant community parameters of each sub-region to be determined for collection include at least one of a plant community type parameter, a plant community quantity parameter, a plant community growth condition, a plant community leaf fall condition, and a plant community decay condition in the sub-region to be determined for collection; A first determining module is configured to determine all target collection sub-areas that meet soil collection conditions from all the to-be-determined collection sub-areas based on the plant community parameters of all the to-be-determined collection sub-areas; a second determination module for determining regional parameters of each target collection sub-region; the regional parameters of each target collection sub-region include at least one of plant community parameters, terrain parameters, soil looseness, and plant community rooting conditions in the target collection sub-region; and determining soil collection parameters of each target collection sub-region based on the regional parameters of each target collection sub-region; the soil collection parameters of each target collection sub-region include at least one of soil collection plane range, soil collection depth, and soil collection weight parameters in the target collection sub-region; an analysis module, configured to collect soil from each target collection sub-region according to the soil collection parameters of each target collection sub-region, and perform a carbon element composition analysis on the soil from each target collection sub-region to obtain a soil analysis result for each target collection sub-region; The third determination module is used to determine the soil carbon element parameters of the target area based on the soil analysis results of each target collection sub-area; the soil carbon element parameters of the target area include the soil carbon existence form parameters of the target area and the content parameters of each soil carbon existence form.

9. An intelligent analysis device for soil carbon presence forms based on multi-source community information, characterized in that: The device comprises: a memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the intelligent analysis method for soil carbon existence forms of multi-source community information as described in any one of claims 1-7.

10. A computer storage medium, characterized in that The computer storage medium stores computer instructions, which, when called, are used to execute the intelligent analysis method for soil carbon existence forms of multi-source community information as described in any one of claims 1 to 7.

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