47 results about "Soil indicators" patented technology

The invention relates to the technical field of cultivated land resource management, and discloses a data optimization and intelligent decision support system in cultivated land resource early warning, which comprises a cultivated land data acquisition module, a soil index analysis module, a degradation identification module, a land force deduction module, a threshold adaptation module and a decision generation module. The cultivated land data acquisition module acquires cultivated land multi-dimensional attribute data in real time and partitions the data; the soil index analysis module divides soil fertility units and fuses soil indexes to generate resource state vectors; the degradation identification module extracts a core degradation factor, establishes a risk layering model and obtains a data correction coefficient; the land force deduction module identifies the association rule and the dynamic correction factor and calculates the land force attenuation gradient; the threshold adaptation module derives an optimal early warning threshold and generates a risk difference sequence; and the decision generation module analyzes the sequence and integrates the sequence into a regulation and control decision scheme. According to the system, intelligent analysis of cultivated land data, dynamic early warning of degradation risks and accurate decision making are realized, and scientificity and efficiency of cultivated land resource management are improved.

The invention discloses an intelligent control system and method based on agricultural big data. The method comprises the steps that soil index data, collected by a soil sensor, of multiple preset time points in a preset time period and growth state parameters, collected by a crop sensor, of crops at the multiple preset time points are obtained; performing feature extraction and feature interaction on the soil index data at the plurality of preset time points and the growth state parameters of the crops at the plurality of preset time points to obtain soil-crop growth state interaction feature vectors; generating an irrigation control instruction based on the soil-crop growth state interaction feature vector; the irrigation operation of the farmland can be automatically adjusted, and agricultural optimization and efficient production are achieved.

The invention discloses a data resource management system and method based on artificial intelligence, and belongs to the technical field of artificial intelligence. According to the method, multi-source data is collected, and data cleaning and preprocessing are carried out; selecting meteorological indexes and soil indexes, and calculating an influence factor of each index in the meteorological indexes and the soil indexes; determining the weight of each influence factor, and calculating to obtain an agricultural product external environment influence factor; historical data are collected, meteorological data and soil data are matched with agricultural product planting areas and planting periods, and a multi-dimensional data set is constructed; performing feature engineering on the multi-dimensional data set to obtain a feature set; training a long short-term memory network model, and performing model evaluation and optimization; after training is completed, meteorological data and soil data are input into the model, and agricultural product yield prediction data are output; and performing data alignment, comparing the predicted agricultural product yield value with the average value of the market demand, and analyzing a confidence interval to obtain a decision suggestion.

The invention discloses a distributed improvement method and device for farmland crop irrigation water productivity. The method comprises the steps that soil physical indexes and nutrient indexes are obtained; performing management area division on the farmland by using a fuzzy clustering method based on the soil physical indexes and the nutrient indexes; sorting the contribution rate of each soil index to the crop irrigation water productivity in each management partition by using a partial least square discriminant analysis method to obtain a driving factor of the crop irrigation water productivity; using a boundary line analysis method to determine a regulation threshold value of a crop irrigation water productivity driving factor in each management area; calculating actual stage water consumption of crops in each management area, establishing an irrigation system optimization model, and performing multi-objective optimization solution on the irrigation system optimization model by applying a genetic algorithm to obtain an optimized irrigation system; and combining the regulation and control threshold value of the crop irrigation water productivity driving factor with the optimized irrigation system to obtain a farmland distributed crop management scheme, so that the crop irrigation water productivity is improved.

The invention relates to the technical field of smart farmland, in particular to a backwash water and fertilizer integrated machine irrigation method based on a soil state. According to the recent fluctuation similarity and the spatial distribution difference of the same soil index between the sampling points, obtaining the reference degree of anomaly analysis between the sampling points, and further obtaining the anomaly feature value of each monitoring parameter by combining the local fluctuation feature difference of the monitoring parameters of the same soil index at the same moment; according to the abnormal characteristic value of each monitoring parameter and the fluctuation characteristic of the corresponding soil index, obtaining the isolated abnormal degree of each monitoring parameter; an optimal interpolation curve of each soil parameter sequence is screened out according to the isolated anomaly of the monitoring parameters, and then all soil index parameters are fused to evaluate the soil state at the current moment so as to regulate and control irrigation parameters. According to the method, the interpolation error is evaluated in combination with the isolated anomaly of each monitoring parameter, and the influence of noise on interpolation fitting is reduced, so that the soil state at each moment is accurately evaluated.

The invention discloses a water and fertilizer regulation method for realizing a saline-alkali soil plough layer soil fertilizer salt domain and application thereof, and relates to the technical field of crop water and fertilizer. The method comprises the following steps that S1, winter and spring irrigation is not carried out, and ploughing, soil preparation and sealing are carried out in the middle ten days of April; s2, a planting mode is set, film mulching, tape laying and sowing are carried out at the same time, precision sowing is carried out, one seed is planted in one hole, and an early-maturing cotton variety is used; s3, after sowing, setting irrigation quota, fertilization amount and fertilization time, and performing irrigation and fertilization by using under-film drip irrigation water and fertilizer integration; s4, marking the cotton; s5, measuring the cotton field soil index and the cotton yield. According to the method, the dynamic characteristic of salt along with water and the under-mulch drip irrigation water and fertilizer integration technology are utilized, the spatial distribution characteristics of water, fertilizer and salt in a soil plough layer are changed by reasonably regulating and controlling the irrigation quota, the fertilization proportion and the fertilization time, and tests prove that the water and fertilizer regulation and control strategy can effectively reduce the salt in the plough layer, increase water and nutrients and improve the yield of the plough layer. And crop growth and yield formation are promoted.

The invention discloses a method for promoting the growth of coastal wetland scirpus mariqueter by using spartina alterniflora biochar, which comprises the following steps: S1, collecting spartina alterniflora, cleaning, naturally airing, cutting into small sections of less than 5 cm, drying at 60 DEG C, crushing, sieving by a 60-mesh sieve, and performing anaerobic pyrolysis at 500 DEG C for 2 hours to prepare biochar; s2, coast wetland salt marsh soil is collected, 0%, 0.5%, 1% and 3% of biochar are added according to the weight ratio, and the biochar and the soil are mixed to be uniform to prepare different treatment groups; s3, healthy scirpus mariqueter seedlings are selected, transplanted into the soil containing the biochar and cultured for 9 months under the greenhouse condition; s4, regularly measuring plant biomass, root morphology, reproduction characteristics and soil indexes, and finally screening 1% biochar addition concentration as an optimal scheme; according to the method, resource utilization of invasive plants is achieved, the wetland carbon sequestration potential is enhanced, and a scientific basis and an application approach are provided for coastal wetland ecological restoration and blue carbon sink management.

The present invention discloses a soil improvement evaluation system for agricultural planting based on big data, which belongs to the field of soil improvement evaluation system, including a soil primary collection module, a soil primary detection and analysis module, an improvement method determination module, a regional division and improvement module, a soil secondary collection module, a comparison and analysis module, an evaluation result generation module, a sampling effectiveness evaluation module, a big data platform and a data import module; the soil primary collection module is used to collect samples before the land is improved; the soil primary detection and analysis module is used to detect and analyze the soil samples collected for the first time to determine the soil index. The present invention can first screen out successful cases with similar indicators to the soil to be improved, and then use the improvement schemes of these successful cases to improve the soil to be improved by region, and finally evaluate the most suitable area for planting and its corresponding improvement scheme, so as to select the best soil improvement scheme.

The invention relates to a soil health quantitative evaluation method and system, and the method comprises the steps: sampling a to-be-evaluated region according to a preset soil index, and obtaining index data; screening the soil indexes through a principal component analysis method, and establishing an evaluation system based on the screened soil indexes; according to the index data, linear scores of soil indexes included in the evaluation system are calculated respectively; according to the plurality of linear scores, calculating to obtain a soil health index of the to-be-evaluated region; and performing soil health evaluation on the to-be-evaluated region according to the soil health index to obtain a soil health level of the to-be-evaluated region. According to the method, the soil health can be comprehensively evaluated, the soil health conditions of different areas or different treatments are compared, and the accuracy of the evaluation result of the soil health is improved.

The invention belongs to the technical field of agricultural information and resource monitoring, and discloses a genetic optimization spatial layout method and system for cultivated land monitoring sites, and the method comprises the steps: obtaining the geographic information and soil index data of the cultivated land monitoring sites, and carrying out the normalization processing of the data; constructing a spatial heterogeneity comprehensive index, fusing the multi-index weight based on an entropy weight method, and calculating the spatial heterogeneity comprehensive index of each cultivated land monitoring station; according to the quantile of the spatial heterogeneity comprehensive index, performing farmland monitoring station heterogeneous grade division, and generating a Thiessen polygon quantitative monitoring range; and optimizing the cultivated land monitoring station layout through a genetic algorithm, and iteratively selecting an optimal cultivated land monitoring station space layout scheme. According to the genetic optimization spatial layout method and system for the cultivated land monitoring stations, multiple key indexes of soil and spatial distribution characteristics of the monitoring stations are comprehensively considered, a spatial heterogeneity comprehensive index is constructed, and monitoring station layout optimization is achieved.

The invention discloses a saline-alkali soil tillage suitability grading method and system, and belongs to the technical field of agricultural land resource evaluation. The method comprises the following steps: firstly, collecting multi-dimensional data including a basic soil index, an environmental condition index and a crop adaptation index; secondly, index data are processed through an extreme value standardization method, and the dimensional influence is eliminated; an AHP-entropy weight combination weighting method is adopted to determine index weights, and subjective experience and objective data features are considered; calculating a suitability comprehensive index based on a weighted summation method; and finally, dividing the tillage suitability of the saline-alkali soil into four grades of high suitability, moderate suitability, mild suitability and unsuitability in combination with a comprehensive index and a dynamic threshold adjustment mechanism. The method solves the problems that an existing evaluation method is single in index, fixed in standard and low in efficiency, can provide an accurate and scientific basis for saline-alkali soil improvement and utilization and crop planting planning, and has remarkable economic and ecological benefits.

The invention provides a method for constructing a soil fertility index comprehensive evaluation model based on multiple soil indexes, and the method comprises the steps: (1) collecting soil sample image data of different regions, and carrying out the preprocessing of the data, so as to obtain a panoramic looking-around soil profile hyperspectral image; (2) extracting soil sample data and standard reflectivity plate data; (3) carrying out radiation correction and preprocessing on the soil sample data and the standard reflectivity plate data; (4) carrying out characteristic wavelength extraction on the spectral reflectivity data of the soil samples at different depths; (5) respectively measuring parameter data of the soil samples at different depths; (6) constructing a multi-parameter inversion model under different depths; (7) establishing a soil fertility comprehensive evaluation model; and (8) obtaining color distribution diagrams of different soil parameters and soil fertility indexes. According to the method, the spectrum data of the soil profiles at different depths can be quickly acquired in a low-loss manner, so that the soil index data is inverted, and the soil fertility evaluation efficiency is greatly improved.

The invention relates to the technical field of mulching films, in particular to a mulching film raw material selection method suitable for different crops, which comprises the following steps: selecting and preparing biodegradable mulching film raw material particles; soil selection: field soil is taken and screened by an integrated vibrating screen; putting the raw materials and the soil which are subjected to high-uniformity mixing into an independent chamber of a high-flux intelligent degradation cabin, and simulating a real environment; a real environment experiment is carried out in an open farmland, and the biodegradable material with the potential of improving the target soil index is prepared into the mulching film. According to the scheme, aggregates are broken through mechanical shearing and airflow disturbance, particles and soil are ensured to be uniformly mixed, the coefficient of variation is smaller than 5%, manual soil screening and mixing are replaced, the efficiency is improved by 5 times, the precision is improved by 90%, meanwhile, the evaluation period of the influence of the biodegradable mulching film on the soil can be shortened, and the application prospect is wide. And a collaborative design scheme of ecological feedback-structural evolution-scene adaptability is constructed.

The invention relates to the technical field of soil monitoring, and discloses a soil quality evaluation method and system based on a small amount of soil indexes, and the method comprises the following steps: S1, collection: collecting a plurality of soil samples, respectively determining the soil indexes, and constructing a total data set; s2, principal component analysis: performing principal component analysis and Pearson correlation analysis on each sub-data set, and constructing a minimum data set and a revised minimum data set through screening; s3, calculation: calculating a soil quality score through a weighted summation method; s4, performing linear regression fitting, namely performing linear regression fitting on the soil quality score to obtain a linear fitting model of the soil quality scores of different data sets; and S5, constructing a new data set, and constructing the new data set for replacing the total data set to perform soil quality evaluation according to the determination coefficient R2 of the linear fitting model. Soil quality evaluation is carried out by screening a small number of key soil indexes, evaluation accuracy is guaranteed, data collection and processing steps are simplified, and the soil quality evaluation process is more efficient and convenient.

The present invention provides a test device and method for the influence of carbon dioxide penetration on soil under different pressures, which belongs to the field of environmental monitoring. The technical scheme is as follows: a rock layer and a soil layer are arranged in a box; the bottom of the side of the gas pre-storage barrel is connected to the box through a pipe 1, a pipe 2 is arranged at the bottom of the side of the gas pre-storage barrel and at a position opposite to the pipe 1, the other end of the pipe 2 is connected to the carbon dioxide gas tank, a flow valve is arranged on the pipe 2, a sealing plug is arranged concentrically inside the gas pre-storage barrel, and an electric push rod is arranged directly above the gas pre-storage barrel, the push rod of the electric push rod is arranged concentrically with the gas pre-storage barrel and the lower end extends into the gas pre-storage barrel and is connected to the sealing plug, and the lower end face of the gas pre-storage barrel is provided with an exhaust pipe 1 and an exhaust pipe 2 is arranged on the upper end face. The beneficial effect of the present invention is that different pressures can be applied to carbon dioxide so as to measure the influence of the penetration of carbon dioxide on the changes of various soil indicators over a certain period of time.

The invention discloses a formula construction method of an acid soil amendment, and relates to the technical field of formula construction of soil amendments, and the formula construction method comprises the following steps: based on pre-acquired soil initial data and environment real-time data, fusing to generate soil-climate coupling data, and calculating to obtain a climate adaptability factor; meanwhile, soil index testing is conducted to obtain a soil comprehensive data set, and microbial community activity indexes are obtained through calculation; based on the soil comprehensive data set, establishing a dynamic response model to calculate a synergistic effect coefficient, when the synergistic effect coefficient is greater than a preset threshold value, activating a specific material combination to obtain an activated material combination, and performing optimization by applying multiple constraint objectives to generate an optimized formula candidate set; the problem of limitation in the formula construction process of the current acid soil conditioner is solved, experimental verification is performed, and the formula is dynamically adjusted based on the climate adaptability factor and the microbial community activity index so as to output the final optimized formula.

The invention discloses a method and system for constructing a comprehensive evaluation index of a soil water source conservation function, and relates to the technical field of soil water source conservation, and the method comprises the following steps: measuring a soil water retention performance index and a soil infiltration performance index; based on the measured indexes, determining the weight of each index by adopting a factor analysis method, and carrying out membership standardization processing on each index; and weighting the weight of each index and the standardized membership degree to obtain the comprehensive evaluation index of the soil water conservation function. According to the method, the soil water source conservation function can be quantitatively evaluated on the sample plot scale only through one-time or few-time soil index determination, dependence on a long-term hydrological sequence is avoided, and the data acquisition cost is remarkably reduced.

This invention discloses a sensor-based data analysis and processing method for saline-alkali land improvement, relating to the field of agricultural management technology. The method includes: acquiring sensor data and improvement management records of the target saline-alkali land, and correlating them to form an operational dataset to be analyzed, containing sensor change information and management operation information; constructing counterfactual baseline response characteristics when management operation events have not occurred based on counterfactual candidate control data, and mapping these characteristics to actual response characteristics to generate net contribution analysis data; determining the net contribution data of management operation events to the improvement status of saline-alkali land based on the net contribution analysis data, and verifying the consistency of the net contribution data according to the expected response characteristics, thereby generating saline-alkali land improvement analysis and processing data. This invention, by constructing baseline response characteristics when management operation events have not occurred, forms a soil index reference for similar operations that have not been implemented, reducing the interference of water and salt disturbance and plot differences on the judgment of improvement effectiveness.

The application provides a stratum profile prediction method and system based on limit indicators and integrated learning, which comprises the following steps: obtaining a set of discrete sampling points of a two-dimensional profile to be predicted, extracting spatial coordinates, natural water content, liquid limit and plastic limit; calculating Atterberg derivative indicators based on the liquid limit and the plastic limit, the Atterberg derivative indicators including plasticity index and liquidity index, and constructing a multi-dimensional feature vector in combination with the spatial coordinates and the soil indicators; constructing a multi-stage weak supervision labeling mechanism with the Atterberg limit indicators to generate weak supervision soil class labels; training an integrated learning classification model with the multi-dimensional feature vector as the input and the labels as the target training set; gridding the profile to be predicted, obtaining the physical property indicators of the grid nodes through spatial interpolation, and constructing grid node feature vectors; inputting the model to obtain predicted soil class labels, and outputting a two-dimensional stratum distribution matrix. The application integrates conventional soil limit indicators and spatial information, realizes automatic, stable and reasonable continuous two-dimensional stratum profile prediction, and has engineering rationality.

The application provides a kind of photovoltaic panel under sand control vegetation planting parameter determination method, device, equipment and medium, comprising: obtaining the building parameter of photovoltaic panel and the environmental parameter of the place where photovoltaic panel is located;According to building parameter and environmental parameter, determine the dust band and precipitation catchment zone between two rows of photovoltaic panels;According to the distance between dust band and precipitation catchment zone, determine the vegetation distribution data arranged between the dust band and precipitation catchment zone;According to the soil index parameter between dust band and precipitation catchment zone, determine the vegetation variety index planted between dust band and precipitation catchment zone;According to vegetation variety index and vegetation distribution data, determine vegetation planting time;According to vegetation distribution data, vegetation variety index and planting time, determine the vegetation planting mode of sand control.This application quantifies the vegetation planting parameter of sand control from the time and space angle, improves the land resource utilization rate and sand control effect of special microclimate under photovoltaic panel.

The invention discloses an urban green land soil fertility comprehensive evaluation system and method based on historical data, and relates to the technical field of soil fertility evaluation. Dividing the evaluation area into a plurality of sub-areas according to the historical data of the sampling points; calculating a soil fertility comprehensive index of each sub-region, and obtaining a soil fertility comprehensive index of the evaluation region according to the soil fertility comprehensive indexes of the sub-regions to provide guidance for soil treatment; all soil fertility indexes of the sampling points are obtained, the change condition of the soil indexes is considered, the overall soil fertility index of the research area is obtained from all the soil fertility indexes of the sampling points, finally, the soil fertility of the research area is evaluated, and the evaluation result is more accurate; by evaluating the soil fertility index, the nutrient condition of the soil can be known, so that a proper fertilization and irrigation strategy is determined, the improvement of the green land soil environment is facilitated, and the overall quality of the green land is improved.

The application discloses a water-heat coupling numerical model melting depth discrimination permafrost type index distribution method, and relates to a soil index distribution method, which comprises the following processes: determining a melting area spatial distribution according to a melting depth process obtained through water-heat coupling simulation; combining a three-dimensional soil temperature field to discriminate permafrost and seasonal frozen soil grids, and obtaining spatial distributions of the two types of frozen soil; and according to the two types of frozen soil, solving and determining a permafrost depth spatial distribution of a permafrost area and a maximum frozen soil depth spatial distribution of a seasonal frozen soil area. The application effectively expands the application range of the water-heat coupling numerical model; compared with the prior art, the application has obvious improvement in the aspects of strong experience, insufficient mapping range, accuracy and fineness in frozen soil mapping, and is unable to discriminate frozen soil types, and overcomes the defect that the prior art fails to consider the melting area in permafrost mapping.

The invention belongs to the technical field of land renovation acceptance assessment, and particularly relates to a land comprehensive renovation acceptance assessment analysis method, which comprises the following steps of: firstly, acquiring height distribution characteristics and vegetation distribution characteristics through image recognition, dividing land areas and determining a renovation priority weight; analyzing according to the land monitoring report of each remediation stage to obtain a soil index improvement rate, a vegetation coverage improvement rate and a soil flatness improvement rate, calculating the soil quality improvement degree of each region, and combining the soil quality improvement degree with the remediation priority weight to obtain the comprehensive remediation improvement degree of the target land. And finally, generating and feeding back a comprehensive land improvement acceptance assessment report based on the improvement degree, realizing reasonable allocation of improvement resources through accurate partition and differential weight setting, improving the improvement efficiency and the assessment accuracy, ensuring strong binding of an acceptance result and an actual land commissioning demand, and improving the land comprehensive improvement acceptance assessment report. The method is suitable for various land reclamation acceptance scenes such as agricultural land.

The invention relates to the technical field of mining subsidence treatment, in particular to a mining area mining disturbance area surface restoration analysis method. Comprising the steps of determining an underground subsidence source according to distribution information of roadways in a mine map; carrying out grid division on the surface of the mining area, and regularly monitoring to obtain a soil index of each grid; determining a plurality of grids covering the advancing direction of the roadway to obtain a plurality of to-be-analyzed first areas; determining a reference value for anomaly analysis according to the soil indexes of all the to-be-analyzed first areas; determining an abnormal second area according to the soil index corresponding to each to-be-analyzed first area; and optimizing the surface restoration scheme according to the association between the second area and the underground subsidence source. Therefore, the problem that the area with the abnormal soil index in the mining area cannot be identified in the prior art is solved.

A method for determining soil compaction during corn harvester operation based on real-time parameters of the machine belongs to the technical field of agricultural mechanization and intelligent equipment, and specifically relates to a method for determining soil compaction. The purpose of the present invention is to solve the problem that the existing soil compaction prediction methods all consider soil indicators and the pressure of the machine itself, but do not consider the influence of dynamic indicators that the driver can independently control on soil compaction, resulting in low accuracy in soil compaction prediction. The process is: 1. Collect feature data training set; 2. Obtain standardized feature data training set; 3. Obtain optimal compaction degree prediction model; 4. Construct optimal comprehensive compaction degree model; 5. Construct optimal compaction warning model; 6. Construct optimal comprehensive compaction risk warning model; 7. Collect the feature data set to be tested, obtain the optimal comprehensive compaction degree model of the feature data set to be tested, output the comprehensive compaction degree value and risk warning level; 8. Push in real time on the screen.

The invention discloses an urban green land soil improvement method based on green land carbon sink enhancement, and relates to the technical field of soil improvement, and the method comprises the following steps: carrying out soil quality diagnosis on soil of a target green land, preparing a functional soil matrix according to a diagnosis result, and carrying out soil replacement in a plant root zone; the method comprises the following steps: selecting plants with deep root systems and an efficient carbon sequestration function, constructing a three-dimensional community combining arbors, shrubs and herbaceous plants, and planting in a structured mode; aggregate forming bacteria, efficient carbon conversion bacteria and rhizosphere symbiotic growth-promoting bacteria are prepared into a compound microbial agent, and the compound microbial agent is inoculated to a root zone in a step-by-step targeted mode when plants are planted and after the plants are planted; a mineral stabilizer rich in multivalent metal ions is added into the soil, and an organic covering composed of different functional layers is laid on the surface layer; soil key indexes are monitored regularly, and a soil carbon sink system is maintained and managed. According to the invention, the improvement from single carbon sequestration to systematic ecological function improvement in soil improvement is realized.

The utility model relates to a soil improvement and intelligent irrigation and drainage integrated device, and belongs to the field of agricultural production equipment.The device comprises a soil index sensor used for monitoring the nutrient element content of soil so as to send out a detection signal; the microalgae culture device comprises a culture tank, a first conveying pipe and a first control valve; the fertilizer device comprises a fertilizer tank, a second conveying pipe and a second control valve; the mixing tank is connected with the liquid outlet ends of the first conveying pipe and the second conveying pipe; the spraying device comprises a main pipe, a plurality of branch pipes, a plurality of spraying heads and a pump body, the mixing tank is provided with a connecting pipe, the connecting pipe is provided with a third control valve, the branch pipes are connected to the main pipe, the spraying heads are distributed on the branch pipes, and the connecting pipe is connected with the main pipe through the pump body; the controller is used for receiving and responding to a detection signal of the soil index sensor so as to control the working time of the first control valve and the second control valve and then control the third control valve and the pump body to work. The application has the effect of conveniently controlling the application of the modifier and the compound fertilizer.

The present application belongs to the field of agricultural technology, and particularly relates to a method for judging the health degree of waxberry trees. The method is characterized in that seven indexes, i.e. pH, EC, SOM, TN, AN, AP and AK, of the soil composition in the process of waxberry planting are taken as soil indexes to be characterized and recorded, each of the soil indexes is calculated to obtain a standard scoring function, the health degree index of the waxberry trees is calculated according to the standard scoring function, and the health degree of the waxberry trees is judged according to the calculation result of the health degree index. The health degree index of the waxberry trees is calculated and reflected by the soil indexes in an indirect characterization measurement mode, the health degree of the waxberry trees can be effectively judged by a non-invasive method, the method has flexibility in use, and has a high confidence.

The invention discloses a near-natural decomposition determination method and a near-natural decomposition determination system for pasture livestock manure, and relates to the technical field of grassy, animal husbandry and ecology. The method comprises the following steps: selecting a target area, and randomly placing a plurality of groups of buckle cages in the target area; a quadrat is arranged in one buckle cage of each group of buckle cages; the target area is a section with consistent grazing terrain and vegetation; collecting plant measurement indexes, soil indexes and livestock manure in the quadrat; and measuring data acquired in the near-natural decomposition process of the pasture livestock manure by using a manure decomposition rate calculation formula, an element return rate calculation formula and a calculation formula of the effect of environmental factors on decomposition in a set period to obtain a corresponding measurement result. According to the method, the manure decomposition process and related restricting factors can be analyzed more quantitatively and accurately.

The invention discloses a comprehensive soil health evaluation method and system based on soil functions and ecological risks, and the method comprises the steps: S1, taking farmland soil health as an evaluation target, dividing an evaluation region, and obtaining index data; s2, clearly evaluating regional environment safety indexes and ranges; s3, screening important soil indexes by adopting a principal component analysis method, determining scoring functions and weights of the important soil indexes, and establishing a soil quality evaluation system; s4, dividing soil functions by adopting an analytic hierarchy process, calculating the weight and the multifunctional index of each function, and establishing a soil function health evaluation system; and S5, comprehensively evaluating the health condition of the soil by adopting a Nemero index method. According to the method, the cultivated land soil indexes are subjected to multifunctional category division, so that healthy and green production of cultivated land soil is facilitated; and meanwhile, the complex characteristics of the soil can be identified and analyzed more accurately.