21 results about "Soil indicators" patented technology

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 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 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 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 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 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.

The application belongs to the technical field of agricultural information and resource monitoring, and discloses a genetic optimization space layout method and system for cultivated land monitoring stations, which comprises the following steps: acquiring geographic information and soil index data of the cultivated land monitoring stations, and performing normalization processing on the data; constructing a spatial heterogeneity comprehensive index, fusing multi-index weights based on an entropy weight method, and calculating the spatial heterogeneity comprehensive index of each cultivated land monitoring station; performing heterogeneity grade division of the cultivated land monitoring stations according to the quantile of the spatial heterogeneity comprehensive index, and generating a Thiessen polygon quantification monitoring range; and optimizing the layout of the cultivated land monitoring stations through a genetic algorithm, and iteratively selecting an optimal cultivated land monitoring station space layout scheme. The genetic optimization space layout method and system for cultivated land monitoring stations are adopted, various key indexes of soil and spatial distribution characteristics of the monitoring stations are comprehensively considered, a spatial heterogeneity comprehensive index is constructed, and the layout optimization of the monitoring stations is realized.

The invention discloses a precise tea garden fertilization method based on digital land parcel information, which comprises the following steps: S1, acquiring a plurality of RGB images of each tea garden, and respectively measuring nitrogen, phosphorus and potassium in soil in each tea garden; s2, processing the plurality of RGB images by utilizing a GIS (Geographic Information System) technology so as to respectively extract the boundary and the area of a land parcel corresponding to each tea garden; s3, making a plot-level soil index content spatial distribution map; s4, labeling the recommended nitrogen, phosphorus and potassium dosage per unit area in the plot-level soil index content spatial distribution map, generating a fertilization prescription map, and importing the map for guiding tea garden fertilization. Through unmanned aerial vehicle shooting, GIS and soil test technologies, land parcel information is accurately extracted, a soil nutrient spatial distribution map is generated, and the standard recommended dosage is combined, so that a visual fertilization prescription map is finally formed, experience fertilization of a tea garden is converted into data-driven accurate fertilization, and the fertilization accuracy and utilization rate are effectively improved.

The invention relates to the technical field of cultivated land evaluation, in particular to a cultivated land quality grading and updating method based on hyperspectrum and soil indexes, which comprises the following steps of: respectively and directly responding to water content and roughness by defining and calculating moisture absorption depth and shadow proportion with definite physical significance; the moisture-roughness coupling imbalance index is innovatively constructed, the abnormal degree of the coupling effect of the moisture-roughness coupling imbalance index and the moisture-roughness coupling imbalance index is directly quantified, and coupling interference which is difficult to catch is converted into a computable and analyzable scalar quantity; a partition threshold is set based on the moisture-roughness coupling imbalance index statistical values of all the pixels, and a region corresponding to each pixel is divided into three physical state regions; different correction strategies are adopted for different physical state areas, the influence of moisture-roughness coupling interference on organic matter content inversion is effectively eliminated, index inversion precision is remarkably improved, scientificity and practicability of the method are considered, and accurate and reliable core index support is provided for follow-up cultivated land quality grading.

The application discloses a kind of wetland ecological environment monitoring methods based on multidimensional data analysis, belong to wetland ecological monitoring technical field, including wetland ecological environment monitoring system, the wetland ecological environment monitoring system includes multidimensional data acquisition module, data transmission module, data processing module and terminal display module, multidimensional data acquisition module is connected with data processing module data by data transmission module, data transmission module is connected with terminal display module data by data processing module.Data transmission module is connected with terminal display module data by data processing module.The wetland ecological environment monitoring method based on multidimensional data analysis, by setting the hydrological index acquisition unit of multidimensional data acquisition module, soil index acquisition unit, biological index acquisition unit and meteorological index acquisition unit respectively to hydrology, soil, biology and meteorological four-dimensional monitoring index data acquisition, comprehensively reflects the overall condition of wetland ecological system, plays the role of improving the wetland ecological environment monitoring precision.

The application provides a method for constructing a soil fertility index comprehensive evaluation model based on multiple soil indexes, which comprises the following steps: (1) collecting soil sample image data in different regions and preprocessing the same to obtain panoramic soil profile hyperspectral images; (2) extracting soil sample data and standard reflectance plate data; (3) performing radiation correction and preprocessing on the soil sample data and the standard reflectance plate data; (4) extracting characteristic wavelengths from the soil sample spectral reflectance data at different depths; (5) measuring the parameter data of the soil samples at different depths respectively; (6) constructing a multi-parameter inversion model at different depths; (7) establishing a soil fertility comprehensive evaluation model; and (8) obtaining different soil parameter and soil fertility index color distribution maps. The application can obtain soil profile spectral data at different depths through low-loss and rapid acquisition, thereby inverting soil index data and greatly improving the soil fertility evaluation efficiency.

The invention discloses a coastal saline-alkali land improvement and monitoring system based on a neural network, and belongs to the field of data processing. The construction module is used for constructing a core knowledge base comprising three sub-libraries of a soil improvement method, plant-environment adaptability and a fertilizer and modifier, the three sub-libraries are used for storing soil improvement technologies, plant parameters and product information respectively, and logic association rules among the sub-libraries are established; the panoramic data acquisition module is used for integrating dynamic data from a soil sensor, a remote sensing platform and a meteorological and hydrological source through an Internet of Things data platform, and generating soil condition panoramic data containing soil indexes, plant growth vigor and an environment background at the same time through cleaning and fusion; the method has the beneficial effects that the limitation of a traditional manual mode is effectively overcome through knowledge base construction, multi-source data fusion, rule and model dual-drive decision and a closed-loop optimization mechanism.

The present application relates to the technical field of smart farmland, and particularly relates to a backwashing water and fertilizer integrated machine irrigation method based on soil state. According to the similarity of recent fluctuations and the spatial distribution difference of the same soil indexes between sampling points, the reference degree of abnormal analysis between sampling points is obtained, and then combined with the local fluctuation characteristic difference of the same soil index at the same time, the abnormal characteristic value of each monitoring parameter is obtained. According to the abnormal characteristic value of each monitoring parameter and the fluctuation characteristic of the corresponding soil index, the isolated abnormality degree of each monitoring parameter is obtained. According to the isolated abnormality degree of the monitoring parameter, the optimal interpolation curve of each soil parameter sequence is screened out, and then the soil state at the current time is evaluated by fusing all soil index parameters to regulate the irrigation parameter. The present application combines the isolated abnormality degree of each monitoring parameter to evaluate the interpolation error, reduces the influence of noise on interpolation fitting, and thus accurately evaluates the soil state at each time.

The invention discloses a precise wheat fertilization method based on soil spatial variability. The method comprises the following steps: firstly, collecting a soil variety map, a soil nutrient index, historical fertilization data and wheat yield or growth vigor data of a target area, and constructing a unified spatial database; secondly, performing spatialization and feature extraction on soil nutrients by adopting a Kriging interpolation method and principal component analysis, and generating fertility partitions in combination with a soil variety graph; thirdly, constructing a spatial relationship model of the wheat yield, the fertilization amount and the soil indexes by utilizing multi-scale geographical weighted regression to obtain spatial response coefficients of nitrogen, phosphorus and potassium fertilizers at different geographical coordinates; then, establishing a fertility deposition correction model in combination with historical fertilization data, and correcting a target fertilization amount; and finally, generating a variable fertilization diagram according to the coordinates, and importing the variable fertilization diagram into variable fertilization equipment for execution, thereby realizing differentiated fertilization in the field at the scale of 10-20 meters. The invention further provides a corresponding system, equipment and a storage medium. According to the method, the spatial precision of fertilization decision can be improved, and on-demand precise fertilization is realized.