Saline-alkali soil force evaluation method and system

Abstract

The invention discloses a saline-alkali soil force evaluation method and system, and relates to the technical field of data processing. The method comprises the following steps: acquiring a target soil sample; reading a predetermined structure index, and detecting the target soil sample based on the predetermined structure index to obtain target soil structure information; performing weighted calculation on the target soil structure information to obtain a target integrity coefficient of the target saline-alkali soil area; reading a predetermined physicochemical index, and detecting the target soil sample based on the predetermined physicochemical index to obtain target soil physicochemical information; and introducing a comprehensive feedback soil fertility evaluation function, and evaluating to obtain a target comprehensive soil fertility index in combination with the target integrity coefficient and the target soil physicochemical information. The technical problem that saline-alkali soil fertility assessment is inaccurate due to lack of a systematic method in the prior art is solved, and the technical effect of improving the accuracy of saline-alkali soil fertility assessment is achieved by comprehensively analyzing soil structural and physicochemical information and quantitatively assessing the saline-alkali soil fertility condition.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a saline-alkali soil fertility assessment method and system. Background Art

[0002] With the development of agricultural production, the improvement and utilization of saline-alkali land has gradually become an important direction for land resource optimization. However, due to its special soil structure and physical and chemical properties, saline-alkali land has a significant impact on crop growth and land use efficiency. In the prior art, the soil fertility assessment of saline-alkali land usually relies on a single physical and chemical indicator or a simple empirical analysis, lacking a scientific and systematic assessment method, and cannot fully reflect the overall soil fertility of saline-alkali land. This limitation leads to the lack of pertinence and effectiveness in the formulation of saline-alkali land improvement measures, thus affecting the efficient utilization of saline-alkali land resources. Therefore, there is an urgent need for a systematic assessment method that can comprehensively analyze the structural and physical and chemical information of saline-alkali land soil, so as to achieve scientific quantification of the soil fertility of saline-alkali land and provide more accurate data support for the improvement and utilization of saline-alkali land. Summary of the invention

[0003] The present application provides a saline-alkali soil fertility assessment method and system, which solves the technical problem in the prior art of inaccurate saline-alkali soil fertility assessment due to the lack of a systematic method.

[0004] In view of the above problems, the present application provides a saline-alkali soil fertility assessment method and system.

[0005] In a first aspect of the present application, a method for evaluating saline-alkali soil fertility is provided, the method comprising:

[0006] Obtain a target soil sample, wherein the target soil sample refers to a soil sample collected from a target saline-alkali land area based on a predetermined sampling strategy; read a predetermined structural index, and detect the target soil sample based on the predetermined structural index to obtain target soil structural information; perform weighted calculation on the normalized target soil structural information to obtain a target integrity coefficient of the target saline-alkali land area; read predetermined physical and chemical indicators, and detect the target soil sample based on the predetermined physical and chemical indicators to obtain target soil physical and chemical information; introduce a comprehensive feedback soil productivity evaluation function, and combine the target integrity coefficient with the target soil physical and chemical information to evaluate and obtain a target comprehensive soil productivity index.

[0007] The second aspect of the present application provides a saline-alkali soil fertility assessment system, the system comprising:

[0008] Soil sample collection module: obtain target soil samples, wherein the target soil samples refer to soil samples collected from the target saline-alkali land area based on a predetermined sampling strategy; soil structure detection module: read predetermined structural indicators, and detect the target soil samples based on the predetermined structural indicators to obtain target soil structure information; calculation module: perform weighted calculation on the target soil structure information after normalization to obtain the target integrity coefficient of the target saline-alkali land area; soil detection module: read predetermined physical and chemical indicators, and detect the target soil samples based on the predetermined physical and chemical indicators to obtain target soil physical and chemical information; soil fertility evaluation module: introduce a comprehensive feedback soil fertility evaluation function, and combine the target integrity coefficient with the target soil physical and chemical information to evaluate and obtain the target comprehensive soil fertility index.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] First, a target soil sample is obtained, wherein the target soil sample refers to a soil sample collected from a target saline-alkali land area based on a predetermined sampling strategy. Next, a predetermined structural index is read, and the target soil sample is tested based on the predetermined structural index to obtain the target soil structural information. Further, a weighted calculation is performed on the normalized target soil structural information to obtain the target integrity coefficient of the target saline-alkali land area. Then, the predetermined physical and chemical indexes are read, and the target soil sample is tested based on the predetermined physical and chemical indexes to obtain the target soil physical and chemical information. Finally, a comprehensive feedback soil fertility evaluation function is introduced, and the target integrity coefficient is combined with the target soil physical and chemical information to evaluate and obtain the target comprehensive soil fertility index. The technical problem of inaccurate saline-alkali land soil fertility evaluation caused by the lack of a systematic method in the prior art is solved. By comprehensively analyzing the soil structure and physical and chemical information, the soil fertility status of saline-alkali land is quantitatively evaluated, thereby achieving the technical effect of improving the accuracy of saline-alkali land soil fertility evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] 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.

[0012] Figure 1 A schematic diagram of a saline-alkali soil fertility assessment method provided in an embodiment of the present application;

[0013] Figure 2 A schematic diagram of the structure of a saline-alkali soil fertility assessment system provided in an embodiment of the present application.

[0014] Explanation of reference numerals: soil sample collection module 11 , soil structure detection module 12 , calculation module 13 , soil detection module 14 , soil fertility assessment module 15 . DETAILED DESCRIPTION

[0015] The present application solves the technical problem of inaccurate saline-alkali soil fertility assessment caused by the lack of a systematic method in the prior art by providing a saline-alkali soil fertility assessment method and system.

[0016] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0017] It should be noted that the terms "including" and "having" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or are inherent to these processes, methods, products or devices.

[0018] Embodiment 1, as Figure 1 As shown, the present application provides a method for evaluating saline-alkali soil fertility, wherein the method comprises:

[0019] Obtain a target soil sample, wherein the target soil sample refers to a soil sample collected from a target saline-alkali land area based on a predetermined sampling strategy.

[0020] According to the predetermined sampling strategy, for example, stratified sampling, soil samples of different soil layers are collected from the target saline-alkali land area, including the soil of the cultivated layer (0-20 cm) and the deep soil (20-40 cm). By stratifying sampling of different soil layers, it can be ensured that the collected soil samples can accurately reflect the soil conditions of the target saline-alkali land area, providing a scientific basis for the comprehensive assessment of soil fertility.

[0021] Further, obtaining target soil samples includes:

[0022] Extract the tillage layer sampling strategy in the predetermined sampling strategy; sample the target saline-alkali land area according to the tillage layer sampling strategy to obtain a tillage soil sample; extract the deep layer sampling strategy in the predetermined sampling strategy; sample the target saline-alkali land area according to the deep layer sampling strategy to obtain a deep layer soil sample; use the tillage soil sample and the deep layer soil sample as the target soil sample.

[0023] Specifically, the tillage layer sampling strategy in the predetermined sampling strategy is extracted. The tillage layer sampling strategy is a sampling method for the surface soil (0-20 cm) in the target saline-alkali area, which aims to ensure the representativeness and accuracy of the sample; the surface soil (0-20 cm) of the target saline-alkali area is sampled according to the tillage layer sampling strategy. During the sampling process, the appropriate sampling point distribution method is selected according to the regional characteristics, such as random distribution, systematic distribution or stratified and zoned sampling, and a soil sampler is used to collect sufficient surface soil samples at each sampling point; after sampling, the surface soil samples from different sampling points are evenly mixed to ensure the representativeness and uniformity of the tillage layer soil samples, and finally the tillage soil samples are obtained. Next, the deep sampling strategy in the predetermined sampling strategy is extracted. The deep sampling strategy is a sampling method for deep soil (20-40 cm) in the target saline-alkali area to ensure that the samples obtained can reflect the physical and chemical properties and salt distribution of the deep soil; the deep soil (20-40 cm) in the target saline-alkali area is sampled according to the deep sampling strategy; when sampling, the sampling depth is accurate, and a soil drill or profile sampler can be used to slice the deep soil in layers. At the same time, the distribution of sampling points is adjusted according to the terrain or salinization degree in the area to ensure the comprehensiveness of the data; after the collection is completed, the deep soil samples are also mixed according to the sampling points to ensure the uniformity of the samples, and finally the deep soil samples are obtained. The cultivated soil samples and the deep soil samples are combined to form the target soil samples, which provide comprehensive and scientific basic data for the subsequent analysis of soil structure information and physical and chemical information and comprehensive soil fertility assessment.

[0024] Furthermore, sampling the target saline-alkali land area according to the tillage layer sampling strategy to obtain a tillage soil sample includes:

[0025] Obtain target area crop information of the target saline-alkali land area, wherein the target area crop information includes multiple crops with position identifiers; obtain a first crop among the multiple crops with position identifiers, wherein the first crop corresponds to a first surface position; and collect the cultivated soil sample based on the first surface position and a predetermined cultivated layer depth threshold in the cultivated layer sampling strategy.

[0026] Preferably, the target area crop information of the target saline-alkali land area is obtained by remote sensing monitoring, drone inspection, etc., and the target area crop information includes multiple crops with position identifiers; among the multiple crops with position identifiers, one crop is selected as the first crop (for example, according to the requirements of random selection or uniform distribution), and the specific surface position of the first crop is determined and recorded as the first surface position; according to the depth threshold (0 to 20 cm) predetermined in the tillage layer sampling strategy, sampling is performed at the first surface position, the sampling depth is strictly controlled, and the surface soil is collected using a soil drill or soil cutter, and the cleanliness and purity of the sample are ensured; after the collection is completed, a tillage soil sample is obtained. By obtaining the target area crop information, accurately locating the crop position, and combining the predetermined depth threshold in the tillage layer sampling strategy for soil sampling, the scientificity, representativeness, and accuracy of the tillage layer soil sample can be ensured.

[0027] Furthermore, the deep soil sample is collected based on the first surface position and a predetermined deep depth threshold in the deep sampling strategy.

[0028] Specifically, the first crop and its corresponding surface position (first surface position) are used as reference points for deep sampling; according to the depth threshold (20-40 cm) specified in the deep sampling strategy, deep sampling equipment (such as soil drill or profile sampler) is used for sampling, and the sampling depth range is strictly controlled to avoid mixing with surface soil or deeper soil; during the sampling process, attention should be paid to maintaining the integrity of the sample to prevent the soil stratification structure from being destroyed, and the use of the sampling equipment should be appropriately adjusted according to the physical properties of the deep soil; after sampling, the sample is stored in a clearly marked sample bag to obtain a deep soil sample. By combining the depth threshold in the deep sampling strategy with the surface position information of the crops in the target area, deep soil samples can be accurately obtained, providing a scientific basis for the subsequent analysis of the physical and chemical properties of the deep soil and the accumulation of salinization.

[0029] The predetermined structural index is read, and the target soil sample is detected based on the predetermined structural index to obtain target soil structural information.

[0030] The structural indicators required for testing are extracted from the predetermined structural indicators. These indicators usually include but are not limited to the particle composition of the soil (such as the ratio of sand, silt, and clay), porosity, compactness, aggregate structure ratio, soil moisture content, permeability, and specific gravity. These indicators can fully reflect the physical structural characteristics of the soil. The collected target soil samples are sent to the laboratory or on-site testing equipment. By using professional instruments (such as particle size analyzers, soil compaction testers, permeability testers, etc.), the samples are tested in sequence according to the standardized testing process; during the testing process, the soil samples should be pre-treated as necessary, such as drying, screening, and removing impurities, to ensure the accuracy and consistency of the test results; the test results of each structural indicator must be recorded and sorted, and finally summarized to form the target soil structure information. By reading and testing these structural indicators, the physical structural characteristics of the target soil samples can be accurately quantified, providing scientific data support for subsequent soil fertility assessments and saline-alkali land improvement plans.

[0031] Furthermore, the predetermined structural indicators include bulk density, porosity, proportion of large particle size aggregates and capillary porosity.

[0032] The predetermined structural indicators include bulk density, porosity, proportion of large-size aggregates and capillary porosity. An exemplary detection process is as follows: extract the target soil sample and perform independent detection on each structural indicator; for bulk density, it is calculated by measuring the ratio of dry weight to total volume after drying the soil sample, and the bulk density reflects the degree of compaction and structural stability of the soil; for porosity, it is calculated according to the bulk density and soil particle density by the formula (porosity = 1-bulk density / particle density), and the porosity is used to evaluate the air permeability and water permeability of the soil; to detect the proportion of large-size aggregates, the soil is graded and sieved by wet sieving or dry sieving, and the proportion of aggregates larger than a certain particle size (such as 0.25 mm) in the total soil mass is calculated, and the proportion of large-size aggregates is used to measure the soil's anti-erosion ability and structural stability; to detect capillary porosity, the proportion of capillary pores in the soil is determined by the saturated water method or the capillary rise method, and the capillary porosity can reflect the soil's ability to store and retain water.

[0033] The target soil structure information after normalization is weighted and calculated to obtain the target integrity coefficient of the target saline-alkali land area.

[0034] The various indicators in the detected target soil structure information (such as bulk density, porosity, proportion of large-size aggregates and capillary porosity) are normalized to convert data of different dimensions into a unified range. The minimum-maximum normalization method or Z-score normalization method is often used to map the data between 0 and 1, thereby eliminating the impact caused by dimensional differences; weight coefficients are assigned according to the degree of influence of each indicator on soil integrity (such as the weight of bulk density is 0.3, porosity is 0.25, proportion of large-size aggregates is 0.25, and capillary porosity is 0.2), and each normalized indicator value is weighted and calculated to obtain the target integrity coefficient of the target saline-alkali land area. The target integrity coefficient is used to comprehensively characterize the integrity of the soil structure in the target saline-alkali land area. The larger the value, the more stable the soil structure and the better the integrity. Conversely, it indicates that the soil may have problems such as compaction, poor air permeability or insufficient water storage capacity, providing a scientific reference for saline-alkali land fertility assessment and improvement.

[0035] The predetermined physical and chemical indexes are read, and the target soil sample is tested based on the predetermined physical and chemical indexes to obtain physical and chemical information of the target soil.

[0036] First, the predetermined physical and chemical indicators are extracted, which usually include soil pH, electrical conductivity (EC), organic matter content, salt content, total nitrogen content, alkaline nitrogen, available phosphorus and available potassium, etc. These indicators can reflect the chemical properties and nutrient status of the soil; then, the target soil samples are processed, such as removing impurities through air drying, grinding, sieving and other operations to ensure that the samples are suitable for testing; then, each physical and chemical indicator is tested using professional instruments, such as measuring soil acidity and alkalinity through a pH meter, measuring the conductivity of the soil solution through a conductivity meter, measuring total nitrogen content through the Kjeldahl method, measuring available phosphorus through an ultraviolet spectrophotometer, and measuring available potassium content through a flame photometer; during the testing process, the standardized testing process must be strictly followed, and each indicator must be measured repeatedly to reduce errors; finally, the test results are sorted and recorded to form a complete data set of the physical and chemical information of the target soil, which is used to characterize the chemical properties and nutrient status of the target soil samples and provide a scientific basis for subsequent soil fertility assessment.

[0037] Furthermore, the predetermined physical and chemical indicators are read, and the target soil sample is tested based on the predetermined physical and chemical indicators to obtain the physical and chemical information of the target soil, including:

[0038] The cultivated soil sample is tested based on the predetermined physicochemical index to obtain the cultivated soil physicochemical information; the deep soil sample is tested based on the predetermined physicochemical index to obtain the deep soil physicochemical information; the cultivated soil physicochemical information and the deep soil physicochemical information constitute the target soil physicochemical information; wherein the predetermined physicochemical indexes include organic matter content, total nitrogen content, pH value and salt content.

[0039] Specifically, the cultivated soil samples (0-20 cm) are tested based on the predetermined physical and chemical indicators, and the organic matter content, total nitrogen content, pH value and salt content of the cultivated layer soil are extracted, wherein the organic matter content can be determined by high-temperature ignition method or potassium dichromate method, the total nitrogen content can be detected by Kjeldahl nitrogen determination method, the pH value is determined using a soil suspension pH meter, and the salt content is analyzed by electrical conductivity method or evaporation method, and finally the physical and chemical information of the cultivated soil is obtained; subsequently, the deep soil samples (20-40 cm) are tested based on the same physical and chemical indicators, and the detection method is consistent with that of the cultivated soil samples, and the organic matter content, total nitrogen content, pH value and salt content of the deep soil are extracted, and the physical and chemical information of the deep soil is formed; finally, the physical and chemical information of the cultivated soil is integrated with the physical and chemical information of the deep soil to form the physical and chemical information of the target soil, which can simultaneously reflect the nutrient status, acidity and alkalinity and salt distribution characteristics of the cultivated layer and the deep soil, and provide reliable data support for the comprehensive analysis of the soil fertility conditions in the target saline-alkali land area.

[0040] A comprehensive feedback soil productivity evaluation function is introduced, and the target integrity coefficient and the target soil physical and chemical information are combined to evaluate and obtain the target comprehensive soil productivity index.

[0041] A comprehensive feedback soil fertility assessment function is constructed based on the target integrity coefficient and the target soil physical and chemical information. The target comprehensive soil fertility index is calculated using the comprehensive feedback soil fertility assessment function. The target comprehensive soil fertility index is a comprehensive quantitative evaluation of soil productivity, which can intuitively reflect the level of soil fertility.

[0042] Furthermore, before introducing the comprehensive feedback soil productivity evaluation function and combining the target integrity coefficient with the target soil physical and chemical information to evaluate and obtain the target comprehensive soil productivity index, it also includes:

[0043] Activate a soil fertility prediction model, and analyze the physical and chemical information of the cultivated soil through the soil fertility prediction model to obtain a predicted soil fertility index; wherein the soil fertility prediction model is an intelligent model obtained by machine learning of a training data set constructed based on a saline-alkali land database, and the training data set includes similar physical and chemical information of cultivated soil and similar soil fertility indexes in similar saline-alkali land areas.

[0044] Before introducing the comprehensive feedback soil fertility evaluation function and combining the target integrity coefficient with the target soil physical and chemical information to evaluate and obtain the target comprehensive soil fertility index, it also includes: activating the soil fertility prediction model, performing intelligent analysis on the physical and chemical information of the cultivated soil through the soil fertility prediction model, and obtaining the predicted soil fertility index. The soil fertility prediction model is built based on machine learning technology. It is an intelligent model obtained by training the training data set constructed in the saline-alkali land database. The training data set includes the physical and chemical information of similar cultivated soils in similar saline-alkali land areas (such as organic matter content, total nitrogen content, pH value and salt content) and the corresponding soil fertility index. These data are used for model training after standardization to ensure that the model can accurately learn the complex relationship between physical and chemical information and soil fertility index. In the machine learning process, support vector machine (SVM), random forest (RF) or deep learning model (such as neural network) can be used for modeling. After the model is trained, its prediction accuracy is evaluated by the validation set to ensure the reliability and applicability of the prediction results. The trained soil fertility prediction model is activated, and the physical and chemical information of the cultivated soil in the current target area is used as input. The model generates the corresponding predicted soil fertility index according to its internal learned characteristic relationship. The predicted soil fertility index can provide a preliminary reference for the subsequent comprehensive soil fertility evaluation, making the results of the comprehensive feedback soil fertility evaluation function more scientific and accurate, thereby comprehensively quantifying the soil fertility level of the target saline-alkali land area and providing efficient data support for soil improvement and land management.

[0045] Furthermore, the expression of the comprehensive feedback soil quality evaluation function is as follows:

[0046] Wherein, w(x) represents the target comprehensive soil index of the target saline-alkali land area x, λ(x) represents the target integrity coefficient of the target saline-alkali land area x, represents the deep soil physicochemical information, i represents the i-th physicochemical index in the predetermined physicochemical index, and there are 4 predetermined physicochemical indexes, s i (x) represents the index parameter corresponding to the i-th physical and chemical index in the deep soil physical and chemical information, and p(x) represents the predicted soil fertility index.

[0047] The expression of comprehensive feedback soil quality assessment function is: Among them, w(x) represents the target comprehensive soil fertility index of the target saline-alkali land area x, which is used to comprehensively and quantitatively evaluate the soil fertility level of the soil; λ(x) represents the target integrity coefficient of the target saline-alkali land area x, reflecting the soil structural characteristics (such as bulk density, porosity, proportion of large-size aggregates and capillary porosity); Characterize the physical and chemical information of the deep soil, including the weighted sum of four predetermined physical and chemical indicators (organic matter content, total nitrogen content, pH value, and salt content), s i(x) represents the index parameter corresponding to the i-th physical and chemical index in the deep soil physical and chemical information; p(x) represents the predicted soil fertility index of the target area x through the soil fertility prediction model. Through the comprehensive feedback soil fertility evaluation function, the structural characteristics of the soil, deep physical and chemical information and the predicted soil fertility index are organically combined to comprehensively quantify the soil fertility level of the target area. The results intuitively reflect the suitability and productivity of the soil, providing accurate data support for the improvement and scientific utilization of saline-alkali land.

[0048] In summary, the embodiments of the present application have at least the following technical effects:

[0049] First, a target soil sample is obtained, wherein the target soil sample refers to a soil sample collected from a target saline-alkali land area based on a predetermined sampling strategy. Next, a predetermined structural index is read, and the target soil sample is tested based on the predetermined structural index to obtain the target soil structural information. Further, a weighted calculation is performed on the normalized target soil structural information to obtain the target integrity coefficient of the target saline-alkali land area. Then, the predetermined physical and chemical indexes are read, and the target soil sample is tested based on the predetermined physical and chemical indexes to obtain the target soil physical and chemical information. Finally, a comprehensive feedback soil fertility evaluation function is introduced, and the target integrity coefficient is combined with the target soil physical and chemical information to evaluate and obtain the target comprehensive soil fertility index. The technical problem of inaccurate saline-alkali land soil fertility evaluation caused by the lack of a systematic method in the prior art is solved. By comprehensively analyzing the soil structure and physical and chemical information, the soil fertility status of saline-alkali land is quantitatively evaluated, thereby achieving the technical effect of improving the accuracy of saline-alkali land soil fertility evaluation.

[0050] Embodiment 2, based on the same inventive concept as a method for evaluating saline-alkali soil fertility in the above embodiment, Figure 2 As shown, the present application provides a saline-alkali soil fertility assessment system, wherein the system comprises:

[0051] Soil sample collection module 11: obtain target soil samples, wherein the target soil samples refer to soil samples collected from the target saline-alkali land area based on a predetermined sampling strategy; soil structure detection module 12: read predetermined structural indicators, and detect the target soil samples based on the predetermined structural indicators to obtain target soil structure information; calculation module 13: perform weighted calculation on the target soil structure information after normalization to obtain the target integrity coefficient of the target saline-alkali land area; soil detection module 14: read predetermined physical and chemical indicators, and detect the target soil samples based on the predetermined physical and chemical indicators to obtain target soil physical and chemical information; soil fertility evaluation module 15: introduce a comprehensive feedback soil fertility evaluation function, and combine the target integrity coefficient with the target soil physical and chemical information to evaluate and obtain the target comprehensive soil fertility index.

[0052] Furthermore, the soil sample collection module 11 is used to perform the following method:

[0053] Extract the tillage layer sampling strategy in the predetermined sampling strategy; sample the target saline-alkali land area according to the tillage layer sampling strategy to obtain a tillage soil sample; extract the deep layer sampling strategy in the predetermined sampling strategy; sample the target saline-alkali land area according to the deep layer sampling strategy to obtain a deep layer soil sample; use the tillage soil sample and the deep layer soil sample as the target soil sample.

[0054] Furthermore, the soil sample collection module 11 is used to perform the following method:

[0055] Obtain target area crop information of the target saline-alkali land area, wherein the target area crop information includes multiple crops with position identifiers; obtain a first crop among the multiple crops with position identifiers, wherein the first crop corresponds to a first surface position; and collect the cultivated soil sample based on the first surface position and a predetermined cultivated layer depth threshold in the cultivated layer sampling strategy.

[0056] Furthermore, the soil sample collection module 11 is used to perform the following method:

[0057] The deep soil sample is collected based on the first surface position and a predetermined deep depth threshold in the deep sampling strategy.

[0058] Furthermore, the soil structure detection module 12 is used to perform the following method:

[0059] The predetermined structural indicators include bulk density, porosity, proportion of large-size aggregates and capillary porosity.

[0060] Furthermore, the soil detection module 14 is used to perform the following method:

[0061] The cultivated soil sample is tested based on the predetermined physicochemical index to obtain the cultivated soil physicochemical information; the deep soil sample is tested based on the predetermined physicochemical index to obtain the deep soil physicochemical information; the cultivated soil physicochemical information and the deep soil physicochemical information constitute the target soil physicochemical information; wherein the predetermined physicochemical indexes include organic matter content, total nitrogen content, pH value and salt content.

[0062] Furthermore, the soil quality assessment module 15 is used to perform the following method:

[0063] Activate a soil fertility prediction model, and analyze the physical and chemical information of the cultivated soil through the soil fertility prediction model to obtain a predicted soil fertility index; wherein the soil fertility prediction model is an intelligent model obtained by machine learning of a training data set constructed based on a saline-alkali land database, and the training data set includes similar physical and chemical information of cultivated soil and similar soil fertility indexes in similar saline-alkali land areas.

[0064] Furthermore, the soil quality assessment module 15 is used to perform the following method:

[0065] The expression of the comprehensive feedback soil quality evaluation function is as follows: Wherein, w(x) represents the target comprehensive soil index of the target saline-alkali land area x, λ(x) represents the target integrity coefficient of the target saline-alkali land area x, represents the deep soil physicochemical information, i represents the i-th physicochemical index in the predetermined physicochemical index, and there are 4 predetermined physicochemical indexes, s i (x) represents the index parameter corresponding to the i-th physical and chemical index in the deep soil physical and chemical information, and p(x) represents the predicted soil fertility index.

[0066] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0067] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0068] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A method for evaluating saline-alkali soil fertility, characterized in that: The method comprises: Obtaining a target soil sample, wherein the target soil sample refers to a soil sample collected from a target saline-alkali land area based on a predetermined sampling strategy; Reading a predetermined structural index, and detecting the target soil sample based on the predetermined structural index to obtain target soil structural information; Performing weighted calculation on the normalized target soil structure information to obtain a target integrity coefficient of the target saline-alkali land area; Reading predetermined physical and chemical indicators, and testing the target soil sample based on the predetermined physical and chemical indicators to obtain physical and chemical information of the target soil; A comprehensive feedback soil productivity evaluation function is introduced, and the target integrity coefficient and the target soil physical and chemical information are combined to evaluate and obtain the target comprehensive soil productivity index.

2. A saline-alkali soil fertility assessment method according to claim 1, characterized in that: Obtain targeted soil samples, including: Extracting a tillage layer sampling strategy from the predetermined sampling strategy; Sampling the target saline-alkali land area according to the tillage layer sampling strategy to obtain a tillage soil sample; Extracting a deep sampling strategy from the predetermined sampling strategy; Sampling the target saline-alkali land area according to the deep sampling strategy to obtain deep soil samples; The cultivated soil sample and the deep soil sample are used as the target soil samples.

3. A saline-alkali soil fertility assessment method according to claim 2, characterized in that: Sampling the target saline-alkali land area according to the tillage layer sampling strategy to obtain a tillage soil sample includes: Acquire target area crop information of the target saline-alkali land area, wherein the target area crop information includes a plurality of crops with position identifiers; Acquire a first crop from among the plurality of crops having position identifiers, the first crop corresponding to a first surface position; The cultivated soil sample is collected based on the first surface position and a predetermined cultivated layer depth threshold in the cultivated layer sampling strategy.

4. A saline-alkali soil fertility assessment method according to claim 3, characterized in that: The deep soil sample is collected based on the first surface position and a predetermined deep depth threshold in the deep sampling strategy.

5. A saline-alkali soil fertility assessment method according to claim 1, characterized in that: The predetermined structural indicators include bulk density, porosity, proportion of large-size aggregates and capillary porosity.

6. A saline-alkali soil fertility assessment method according to claim 2, characterized in that: Reading predetermined physical and chemical indicators, and testing the target soil sample based on the predetermined physical and chemical indicators to obtain physical and chemical information of the target soil, including: Testing the cultivated soil sample based on the predetermined physical and chemical indicators to obtain physical and chemical information of the cultivated soil; Testing the deep soil sample based on the predetermined physical and chemical indicators to obtain physical and chemical information of the deep soil; The physical and chemical information of the cultivated soil and the physical and chemical information of the deep soil constitute the physical and chemical information of the target soil; Wherein, the predetermined physical and chemical indicators include organic matter content, total nitrogen content, pH value and salt content.

7. A saline-alkali soil fertility assessment method according to claim 6, characterized in that: Before introducing the comprehensive feedback soil productivity evaluation function and combining the target integrity coefficient with the target soil physical and chemical information to evaluate and obtain the target comprehensive soil productivity index, the method further includes: Activating a soil fertility prediction model, and analyzing the physical and chemical information of the cultivated soil through the soil fertility prediction model to obtain a predicted soil fertility index; Among them, the soil fertility prediction model is an intelligent model obtained by machine learning on a training data set constructed based on a saline-alkali land database, and the training data set includes similar cultivated soil physical and chemical information and similar soil fertility indexes in similar saline-alkali land areas.

8. A saline-alkali soil fertility assessment method according to claim 7, characterized in that: The expression of the comprehensive feedback soil quality evaluation function is as follows: Wherein, w(x) represents the target comprehensive soil index of the target saline-alkali land area x, λ(x) represents the target integrity coefficient of the target saline-alkali land area x, (x) represents the physical and chemical information of the deep soil, i represents the i-th physical and chemical index among the predetermined physical and chemical indexes, and there are 4 predetermined physical and chemical indexes in total, s i (x) represents the index parameter corresponding to the i-th physical and chemical index in the deep soil physical and chemical information, and p(x) represents the predicted soil fertility index.

9. A saline-alkali soil fertility assessment system, characterized in that: A system for implementing a saline-alkali soil fertility assessment method according to any one of claims 1 to 8, comprising: Soil sample collection module: obtain target soil samples, wherein the target soil samples refer to soil samples collected from the target saline-alkali land area based on a predetermined sampling strategy; Soil structure detection module: reads a predetermined structure index, and detects the target soil sample based on the predetermined structure index to obtain target soil structure information; Calculation module: performing weighted calculation on the target soil structure information after normalization to obtain the target integrity coefficient of the target saline-alkali land area; Soil detection module: reads predetermined physical and chemical indicators, and detects the target soil sample based on the predetermined physical and chemical indicators to obtain physical and chemical information of the target soil; Soil fertility assessment module: introduces a comprehensive feedback soil fertility assessment function, and combines the target integrity coefficient with the target soil physical and chemical information to evaluate and obtain the target comprehensive soil fertility index.

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