3664 results about "Edaphic" patented technology

The invention relates to the technical field of soil pollution detection, in particular to a soil heavy metal pollution intelligent detection method and system.The method comprises the steps that soil multi-source information and regional environment parameters of to-be-detected soil are collected, and soil pollution characteristics are recognized according to the soil multi-source information; establishing a pollution identification analysis model according to the soil pollution characteristics and the regional environment parameters, and analyzing whether the to-be-detected soil contains heavy metal pollutants or not; if the heavy metal pollutants are contained, pollution diffusion paths of the heavy metal pollutants in time and space are predicted according to a pollution identification analysis model; and if the soil does not contain the heavy metal pollutants, performing time sequence analysis on soil pollution characteristics, monitoring and analyzing future concentration distribution of the heavy metal pollutants, and establishing pollution risk early warning. According to the invention, the problems of long sampling analysis time consumption, incapability of dynamically monitoring pollutant concentration change in real time, insufficient diffusion prediction accuracy and difficulty in comprehensively evaluating high-concentration and potential risk areas in a traditional soil heavy metal detection method are effectively solved.

The invention relates to the technical field of agricultural machinery automation, in particular to an intelligent seeding machinery automation control system which comprises a soil variability analysis module, a dynamic seeding mode adjustment module, a soil structure adjustment module, a seeding control and optimization module, an intelligent fault diagnosis module and a visualization module. Soil data are collected in real time through a soil variability analysis module, spatial variability and seeding suitability of soil are analyzed by utilizing a machine learning algorithm, and a dynamic seeding mode adjustment module automatically adjusts the seeding depth, the seeding speed, the seed spacing and the feeding amount according to an analysis result. The soil structure adjusting module can intelligently adjust the structure according to the compaction or loosening condition of soil, the intelligent fault diagnosis module monitors the operation state of the seeder in real time and diagnoses and repairs faults, and the visualization module provides a remote monitoring interface. According to the invention, the seeding process can be accurately controlled according to different soil conditions, the seeding uniformity and the crop germination rate are improved, and the efficiency and precision of agricultural production are remarkably improved.

The invention discloses coal gangue-based artificial ecological soil and a preparation method and application thereof, and belongs to the technical field of ecological improvement, the coal gangue-based artificial ecological soil comprises crushed coal gangue and a compound microbial agent, and the compound microbial agent comprises a microbial activating agent and a microbial passivating agent. According to the invention, the coal gangue can be quickly decomposed through the microbial activating agent, useful mineral elements in the coal gangue can be fully activated and analyzed, and the effect of activating a nutrient library in the coal gangue is achieved, so that useful trace elements contained in the coal gangue are effectively released and are easily absorbed by plant growth; meanwhile, harmful heavy metal elements in the coal gangue are passivated through the microbial passivating fungicide, the water-retaining property and the air permeability of the soil are guaranteed by controlling the decomposition particle size proportion of the coal gangue, the soil conditioner can be used for ecological restoration, desert control, agriculture and animal husbandry planting, flower and nursery planting and urban landscaping, the effects of improving the soil and promoting plant growth are achieved, and the soil conditioner is suitable for large-scale popularization and application. The application is wide.

The invention provides a comprehensive evaluation method and system for the remediation effect of heavy metal contaminated soil, and relates to the technical field of environmental engineering.The method specifically comprises the steps that remote sensing data of a contaminated area is obtained, a soil sample is collected, the microbial respiration rate and the soil physicochemical property of the soil sample are measured, the remote sensing data are processed, and a normalized vegetation index is obtained; generating a soil health assessment index based on the collected physical and chemical properties of the soil; integrating the soil evaluation index, the microbial respiration rate and the normalized vegetation index to construct a soil remediation evaluation index; and comparing the remediation evaluation index with a preset evaluation threshold value, and evaluating the remediation effect of the heavy metal contaminated soil. According to the method, the soil health evaluation index and the remediation evaluation index are constructed, so that the evaluation accuracy of the remediation effect of the heavy metal contaminated soil is effectively improved. Through multivariate correlation analysis, biological, chemical and physical characteristics of the soil can be comprehensively reflected, and a scientific basis is provided for subsequent management and remediation measures.

The invention discloses a soil sampling device for environmental remediation, belongs to the technical field of environmental remediation, and aims to solve the problems that a spiral blade can destroy the in-situ structure and hierarchy of soil and influence the accuracy of a result, and broken stones on the surface layer of the soil can damage a spiral conveying blade. The soil sampling device comprises a shell, a handle is fixedly connected to the side wall of the shell, a first motor is fixedly connected to the top end in the shell, a threaded rod is rotatably arranged on the shell, one end of the threaded rod penetrates into the shell and is fixedly connected with the output end of the first motor, and a support sleeves the outer side of the threaded rod. According to the soil sampling device, gravel on the surface layer of soil can be cleaned, abrasion of the gravel to a drill bit is avoided, the service life of the sampling device is prolonged, meanwhile, soil of various depths can be sampled, the sampling amount of soil samples is ensured, and follow-up workers can conveniently and accurately detect specific components of the soil.

The invention discloses an environment monitoring method and device based on multispectral image processing, and relates to the technical field of environment monitoring. The method comprises the following steps: acquiring a multispectral image of target soil; acquiring environment state data corresponding to the multispectral image through an environment monitoring sensor; performing fusion calibration on the environment state data and the preprocessed multispectral image to obtain soil spectral data; based on a preset soil pollutant index set and the soil spectrum data, extracting soil pollutant characteristics, and performing spectrum matching on the soil pollutant characteristics and a pollutant spectrum database to obtain a pollutant spectrum; based on the pollutant pedigree, combined with the soil temperature, the soil humidity and the soil PH value, generating a soil health index through multi-dimensional weighted calculation; and performing soil environment monitoring according to the soil health index to obtain an environment monitoring result. The technical problem that it is difficult to accurately evaluate the soil health state in the prior art is solved, and the technical effect of improving the soil health state evaluation accuracy is achieved.

The invention discloses a soil sampling device for land resource planning and a sampling method thereof, and belongs to the technical field of soil sampling, the soil sampling device comprises a supporting seat fixedly supported above the ground at a sampling position, a stand column is fixedly mounted on the upper surface of the supporting seat, and a top seat is fixedly mounted at the top of the stand column; an adjusting motor is fixedly mounted at the top of the top seat, meanwhile, a threaded rod is fixedly mounted at the output end of the adjusting motor, a movable seat is arranged on the outer side of the stand column, and a sampling barrel is rotationally mounted in the middle of the movable seat. The cutting base is fixedly installed at the lower end of the sampling barrel, the drilling efficiency of the sampling barrel is improved, and a cutting assembly is arranged on the inner side of the cutting base. According to the soil sampling device for land resource planning and the sampling method of the soil sampling device, residual soil dust in previous sampling can be automatically cleaned before sampling, the lower end of sample soil can be segmented, automatic clamping and supporting are conducted, and the sample soil can be completely taken out conveniently.

The invention relates to the field of agricultural soil improvement and ecological fertilization, and discloses an ecological fertilization method for improving the organic matter content of soil in a dry-hot valley region, and the method comprises the following steps: soil matrix improvement: improving the porosity and water binding capacity of the soil by adding charcoal and humic acid particles; the functional microbial preparation is put, and the activity of soil microorganisms is activated through the combined effect of cellulose decomposition bacteria, stabilization promoting flora and water retention flora; green manure crop planting and covering management: planting sweet clover and other leguminous crops to provide a carbon source and a nitrogen source for soil, and meanwhile, utilizing straw covering to inhibit water evaporation; turning over and stabilizing the green manure crops, namely turning over and stabilizing the organic matters in a blooming period of the green manure crops and combining with a stabilization promoting bacterial liquid and an adsorptive carrier; dynamic balance is maintained, and dynamic balance of decomposition, conversion and accumulation of organic matter is achieved step by step through multi-cycle planting and turning and pressing. The organic matter content and fertility of the soil can be improved, and the water-retaining property and microbial ecosystem of the soil are improved.

The invention relates to the technical field of remote sensing monitoring equipment, and discloses tropical agricultural ecology remote sensing monitoring equipment which comprises an unmanned aerial vehicle platform, a remote sensing unmanned aerial vehicle is arranged on the unmanned aerial vehicle platform, and a monitoring sensor assembly is loaded on the remote sensing unmanned aerial vehicle. The monitoring sensor assembly comprises a high-resolution camera device, a hyperspectral sensor, a thermal infrared sensor and a laser radar, a data receiving module, a data processing module and a display module are arranged in the unmanned aerial vehicle platform, and the monitoring sensor assembly is mainly used for obtaining soil images and data information. The data processing module can judge soil ecological information according to images and data, and the monitoring sensor assembly and the data processing module are matched to obtain the erosion degree and fertility condition of soil in the planting area, the moisture content, the soil type, the moisture evaporation condition and the slope and direction information of the soil. The growth state of plants in a planting area and the ecological environment of soil are monitored, and producers are better assisted in formulating targeted agricultural management measures.

The invention provides a soil nutrient detection method based on a gamma-ray energy spectrum and an XGboost algorithm, and the method comprises the steps: constructing a training sample for soil nutrient detection, the training sample comprises radioactive element data, and the label of the training sample is soil nutrient data with the same soil point location as the radioactive element data; the training sample is input into an XGboost model, the XGboost model extracts features of the training sample and predicts soil nutrients of the training sample, the soil nutrients serve as nutrient predicted values, a loss function is constructed according to the nutrient predicted values and labels of the training sample, the XGboost model is trained, and a soil nutrient detection model is obtained; acquiring soil radioactive elements of to-be-detected soil through a gamma-ray energy spectrometer, and inputting the soil radioactive elements into the soil nutrient detection model to obtain a nutrient detection result of the to-be-detected soil.

The invention discloses equipment for realizing modularized soil in-situ injection remediation by adopting a digital control system. The equipment comprises a carrier and an injection mechanism arranged on the carrier, the injection mechanism can be used for injecting medicaments into the deep underground soil for remediation; in the remediation process, a second sleeve in the injection mechanism can be rotated to be matched with the pushing mechanism to loosen the compacted soil outside the channel drilled by the drill bit, the agent spraying area is enlarged, and diffusion of the agent and fusion of the agent and the soil can be accelerated; meanwhile, the first sleeve can protect the second through hole from being blocked and keep smooth medicament injection, single-hole continuous dynamic fixed-depth injection is adopted, medicament adding parameters are controlled and optimized, and medicament injection parameters can be accurately controlled; the problem of repairing the sandwich layer is solved in a small-caliber bottom-to-top injection mode, meanwhile, the advantage of maintaining the bearing capacity of the foundation after construction is achieved, and the diffusion and injection effects of the medicament can be guaranteed by designing air and medicament nozzles and drilling tools.

The invention discloses a remote sensing dynamic monitoring method for water and soil loss in water conservancy, and relates to the technical field of combination of water conservancy projects and remote sensing technologies. A data collection module is used for collecting and preprocessing monitoring data of remote sensing images, weather and soil, extracting historical data stored in a storage module, and combining the current monitoring data to obtain a remote sensing result; the method comprises the steps that a soil erosion intensity index TQ, a water and soil loss rate change rate LS and a water and soil conservation measure adjustment factor BCT are substituted into a comprehensive treatment evaluation module, the adjustment direction and strength of a water and soil conservation measure are formulated based on the water and soil conservation measure adjustment factor BCT, and monitoring data and measures for adjusting the direction and strength are stored in a storage module. According to the method, by introducing scientific quantitative indexes and constructing a cyclic influence mechanism, comprehensive monitoring and quantitative analysis of dynamic changes of water and soil loss are realized, and the method not only solves the problems and defects in the prior art, but also provides scientific basis and decision support for formulation and adjustment of water and soil conservation measures.

The invention relates to an aluminum oxide industrial waste residue treatment technology, in particular to a red mud synchronous dealkalization soil treatment method. According to the method, citric acid and calcium nitrate are adopted as treating agents to cooperatively treat the red mud, the sodium content requirement of planting soil is taken as the standard, the red mud is dealkalized to reduce the sodium content, meanwhile, the granularity of the dealkalized red mud is improved, the organic matter content of the dealkalized red mud is increased, and then the dealkalized red mud and normal soil are mixed in proportion to form the dealkalized red mud soil. The physicochemical indexes of the dealkalized red mud soil are as follows: the volume weight is 1.18-1.26 g / cm < 3 >, the organic matter content is 10.6-12.3%, the pH value is 7.2-7.35, the EC is 0.492-0.562 ms / cm, and the specific surface area is 51.49-59.80 m < 2 > / g. The dealkalized red mud soil obtained through the synergistic treatment of the citric acid and the calcium nitrate completely meets the physicochemical properties of the soil and the planting requirements of plants.

The invention provides a special charcoal-based slow-release fertilizer for sandy soil as well as a preparation method and application thereof, and belongs to the technical field of fertilizers. The special charcoal-based slow-release fertilizer for the sandy soil is prepared from amino modified biomass charcoal, urea, urea formaldehyde, monoammonium phosphate, potassium sulfate, polyglutamic acid, fulvic acid, clay, attapulgite, a compound microbial agent and sodium alginate. The compound microbial agent is prepared from halomonas (ACCC 11681), bacillus subtilis (ACCC 60429) and bacillus mucilaginosus (ACCC 10094), and the compound microbial agent is prepared from bacillus subtilis (ACCC 60429) and bacillus mucilaginosus (ACCC 10094). The invention further provides a preparation method and application of the special charcoal-based slow-release fertilizer for the sandy soil. The special charcoal-based slow-release fertilizer for the sandy soil can remarkably improve the water and fertilizer retention capacity of the sandy soil, improve the farmland productivity of the sandy soil, save fertilizer and water input and improve the yield and quality of crops.

Bionutritional compositions for plants and soils, such as liquid biostimulant compositions and emulsified compositions or solid biofertilizer compositions, produced from animal manure are disclosed. Also disclosed are processes for manufacturing such bionutritional compositions. The processes include the delivery of pure oxygen or oxygen-enriched air to aqueous animal waste slurry and further include subjecting the aqueous animal waste slurry to an autothermal thermophilic aerobic bioreaction (ATAB). The processes may also include a separation step to separate the digested or decomposed animal waste composition after ATAB into a substantially liquid component and substantially solid component, each capable of being further processed to produce a biostimulant composition and biofertilizer composition, respectively. Also disclosed are methods of using the bionutritional compositions for promoting plant health or conditioning soil.

The invention relates to the technical field of intelligent control, and discloses a water-saving fertilization variable control method suitable for sandy soil, and the method comprises the steps: obtaining collection data based on a sensor; and establishing and updating an infiltration-storage-leaching loss prediction model of the sandy soil according to the collected data, performing state estimation on soil moisture and nutrient states, and calculating root layer moisture deviation, fertilizer concentration deviation and deep seepage risk. And executing model predictive control in the rolling time domain to obtain a control result. And executing water-saving fertilization operation according to the control result. In the execution process, the soil volume moisture content, the soil water potential, the soil conductivity and shallow layer leakage observation data are fused, the prediction model is corrected, the control result is dynamically adjusted according to the correction result, and when the environment wind speed exceeds a set threshold value, the spray irrigation parameters are corrected. The fine level of control is improved, deep layer leakage can be inhibited under the sandy soil condition, water and fertilizer balance of a root layer is guaranteed, and external disturbance is coped with.

The invention provides a subsurface soil humidity inversion method and system based on a P-band radiometer, and the method comprises the steps: collecting observation data, carrying out the preprocessing of the observation data, and constructing initial parameters for a pre-configured dielectric hybrid model; calculating the relative dielectric constant of the soil and the soil emissivity of each incident angle; calling a pre-configured Chodhure module, and calculating to obtain the effective temperature of the soil; calculating by using a radiation transfer zero-order approximation model to obtain a simulated brightness temperature; the brightness temperature difference value between the original brightness temperature data and the simulated brightness temperature is calculated, a cost function is constructed, optimization parameters are obtained, and the weight of each angle in the cost function is dynamically adjusted and updated; and iteratively executing soil humidity inversion calculation to obtain an inverted soil humidity result. According to the method, the sensitivity to vegetation and surface roughness is reduced, and the soil humidity inversion precision is improved; and through dynamic weight adjustment and iterative optimization, the adaptability and flexibility of the model are ensured.

The invention provides a ground mechanical property parameter interpretation method based on impact penetration sounding, which comprises the following steps of: carrying an impact penetrometer by an unmanned aerial vehicle to carry out remote survey on a target ground, and carrying out data interpretation on dynamic response data acquired by the penetrometer by utilizing a radial basis function neural network model and a multi-target genetic algorithm; therefore, the mechanical characteristic parameters of the ground can be quickly and accurately obtained. The method is reasonable in conception, the ground mechanical property parameters of the soil can be rapidly and accurately interpreted, and the parameters can be used for equipment trafficability evaluation in a complex geological environment, so that the capability of coping with the complex geological environment is improved.

A fertigation system having water supply and irrigation lines to supply a mixture of at least one fertilizer and water to a desired soil region includes: at least one soil sensor (211, 212, 212), wherein the at least one soil sensor (211, 212, 212) is placed under a surface region (203) of the soil and is configured to measure a concentration of the at least one fertilizer or components thereof in the soil over time; and a supply unit (100) for storage of the fertilizer and water, and for mixing of the fertilizer to a desired dilution within the water; and a controller (108) that is operatively connected to the at least one soil sensor (211, 212, 212) and the supply unit (100). The controller (108) is configured to direct an irrigation profile of mixed water and fertilizer delivered from the supply unit (100) to the soil, to thereby maintain a constant value of at least one soil parameter over time.

The invention provides a southern red soil dry land deacidification soil conditioner and a preparation method thereof, and belongs to the technical field of soil conditioners. The preparation method comprises the following steps: embedding bacillus subtilis, bacillus licheniformis and bacillus amyloliquefaciens to prepare bacterial microspheres, adding the bacterial microspheres into gel formed by carboxymethyl chitosan and silk fibroin peptide to prepare sustained-release bacterial microsphere gel, uniformly mixing the sustained-release bacterial microsphere gel with porous silicon dioxide loaded with basalt and charcoal, and drying to prepare the acid-reducing soil conditioner for the southern red soil dry land. The acid-reducing soil conditioner for the southern red soil dry land not only improves the pH value of the soil, but also can loosen the soil and improve the air permeability of the soil to a certain extent, and promotes the absorption of crops to moisture and nutrient elements by improving the physical and chemical properties of the soil, so that the normal growth of the crops is ensured, and the acid-reducing soil conditioner has a wide application prospect.

The invention discloses a self-adaptive inclined excavator bucket system and a control method thereof. The self-adaptive inclined excavator bucket system comprises a bucket, an inclination sensor, a laser distance measuring sensor, a soil characteristic sensor, a main controller and an executing mechanism. The inclination sensor is installed on the rear side of the bucket and used for monitoring the inclination angle of the bucket in real time. The laser distance measuring sensor is installed on the front edge of the bucket and used for measuring the distance between the bucket and the ground. The soil characteristic sensor is installed on bucket teeth of a bucket and used for obtaining physical characteristic information of soil in real time. The main controller is electrically connected with all the sensors and the executing mechanism and is used for receiving and processing data of the sensors in real time and sending a control command to the executing mechanism; the executing mechanism comprises a hydraulic system and a servo motor and is used for receiving a control command of the main controller in real time and automatically adjusting the inclination angle and the digging force of the bucket. The inclination angle and the digging depth of the bucket can be automatically adjusted according to different conditions, and the working efficiency, precision and safety are improved.

The invention discloses a performance optimization integrated learning soil salinity prediction precision improvement method, and belongs to the technical field of soil quality monitoring. The method comprises the following steps: acquiring a first spectral image of to-be-predicted soil; performing feature extraction on the first spectral image to obtain a target spectral feature; inputting the target spectral features into a target soil salinity prediction model to obtain a soil salinity prediction result; the target soil salinity prediction model is obtained by the following steps: testing a plurality of first soil salinity prediction models based on a first soil salinity prediction model test set corresponding to sample soil to obtain a test scoring result of each first soil salinity prediction model; determining at least one second soil salinity prediction model from the plurality of first soil salinity prediction models based on the plurality of test scoring results, and taking the at least one second soil salinity prediction model as a target soil salinity prediction model; the input feature of the first soil salinity prediction model test set is the first spectral feature of the sample soil, and the target variable is the salinity of the sample soil.

The invention relates to the technical field of agricultural water conservancy, and discloses a dynamic regulation and control method for a farmland-irrigation area-drainage basin water conservation and drainage system in a black soil area, which comprises the following steps: S1, collecting basic data including meteorological and hydrological data, irrigation data, environmental data and monitored soil data; s2, analyzing water retention threshold values and soil fitting parameters of the four kinds of soil by applying a naive Bayes method; s3, calculating a function relationship between the water demand and the yield; the soil water retention threshold value serves as input and is input into a management file of a DSSAT model, and the DSSAT model is used for simulating the growth conditions of the four kinds of soil under the condition that multiple crops are planted on the farmland scale; and S4, constructing a dynamic regulation and control framework of a water retention and drainage system of soil-farmland-irrigation area-drainage basin. According to the method, the minimum water retention threshold value and the effective water threshold value of different soil types in the black soil area are quantified, the crop water consumption amount based on the crop growth process is estimated, and a response relation function among soil water, crop water demand and irrigation water is obtained.

The invention provides a mining area surrounding soil heavy metal spatial distribution inversion method based on hyperspectral data, and the method comprises the steps: processing multi-source monitoring data of mining area surrounding soil, and obtaining a consistent reflectivity data set; performing soil spectrum purification based on the consistent reflectivity data set to obtain a pure soil signal; spectrum key features are screened out from the pure soil signals; obtaining a modeling data set in combination with the spectrum key features and the heavy metal concentration labels so as to construct a multi-task inversion model, and outputting each metal prediction interval and an over-standard risk probability graph; and outputting a multi-layer package based on the model, performing global and local interpretation and mechanism verification, and generating an interpretation report and traceable evidence. According to the method, full-link unification and purification can be achieved, domain deviation and mixed pollution are remarkably reduced, the accuracy and interpretability of feature screening can be considered, and the model generalization ability, prediction accuracy and space credibility are improved.

The invention discloses a heavy metal infiltration risk prediction method for reclaimed water irrigation mining and metallurgy area greenbelt soil, which comprises the following steps: detecting the contents of heavy metals and salt ions in mining and metallurgy area reclaimed water and greenbelt soil, and detecting the physicochemical properties and hydraulic parameters of the soil; carrying out experimental simulation on the basis of detection data to obtain heavy metal form distribution and chemical equilibrium parameters of each phase of soil, then constructing a soil mineral phase-organic matter heavy metal adsorption kinetic model, constructing a soil solid phase equilibrium adsorption capacity calculation model, and further constructing a reclaimed water driven heavy metal geochemical migration process model; the heavy metal content of the mining and metallurgy area soil serves as an initial input item of the migration process model, and the heavy metal infiltration flux of the mining and metallurgy area greenbelt soil in the target prediction time is predicted in a rolling mode according to the heavy metal concentration of the recycled water; and calculating the heavy metal pollution index according to the predicted heavy metal infiltration flux. The method can quickly, accurately and economically evaluate the heavy metal infiltration risk of the reclaimed water irrigated green land soil.

The present invention discloses a vibration mechanical weeding device based on machine vision, which relates to the field of agricultural machinery, and is specifically applied to intelligent field weeding of various crops in the agricultural field. The device consists of a three-point suspension, a body, a visual part, and an actuator. The device can be applied to weeding operations of various crops in different growth cycles. At the same time, the present invention adopts the traditional three-point suspension and hanging method of agricultural machinery, can be carried on various field walking platforms, and can adapt to various complex field environments. The device applies machine vision technology, deploys a visual recognition system on the device, and controls the terminal actuator to avoid seedlings and weed after identifying and locating seedlings and grass through a camera. At the same time, the device innovatively adopts a method of using a vibrating tooth comb to break the soil and bring the grass to the soil surface, which minimizes the damage to the ridge platform, and at the same time has the effect of loosening the soil, reducing the amount of chemical herbicides, protecting the ecological environment, improving the weeding efficiency, and reducing the weeding seedling injury rate.

The invention discloses a dynamic black land soil nutrient prediction system based on satellite remote sensing and multi-source data fusion, and relates to the field of artificial intelligence, and the system comprises a data collection module which obtains multi-source data of black land soil, including satellite remote sensing data, ground sensor data, meteorological data and historical soil nutrient data; the feature extraction module is used for extracting feature information of soil nutrients; the prediction model module is used for constructing a soil nutrient dynamic prediction model and accurately predicting the soil nutrient dynamic state; the feedback optimization module is used for optimizing and updating the prediction model, continuously improving the performance of the model, improving the prediction precision and obtaining an optimized prediction model; the visualization module is used for visually displaying a prediction result, displaying spatial and temporal distribution of soil nutrients in the form of a map and a chart, and providing strategy support of fertilization suggestions and land management; according to the data storage and management module, a database stores different types of data, efficient query, updating and maintenance of the data are achieved, and the safety of the soil nutrient dynamic data is improved.

A method for estimating a quantity profile of a volume of soil involves placing in the soil volume a bi-dimensional or three-dimensional grid of quantity sensors, each quantity sensor of the grid being identified by a position represented by three-dimensional coordinates with respect to a center of the soil volume, acquiring, in a same instant of time, a quantity value from each quantity sensor, so as to obtain a bi-dimensional or three-dimensional grid of real quantity values, and applying a profiling function to the quantity value grid to obtain a fine grained quantity profile defined by a bi-dimensional or three dimensional extended grid of quantity values. Each value of the extended grid is associated with a position represented by three-dimensional coordinates with respect to the center of the soil volume. The number of elements of the extended grid of quantity values is much greater than the number of quantity sensors.

The invention discloses a method for repairing arsenic-cadmium combined polluted rice field soil, which comprises the following steps of: reducing the redox potential Eh value of the soil to-100 to-300mV by controlling the height of a flooded water layer of the polluted soil and adding a reducing agent, reducing arsenic in the soil into trivalent arsenic, and simultaneously constructing an indigenous microbial community with high arsenic methylation capability; oxidizing by draining and drying, methylating trivalent arsenic by indigenous microbial communities, and gradually volatilizing arsenic through methylation; and applying a carbon-based functional biological membrane mainly comprising a cadmium passivation flora to stably passivate cadmium. According to the method, the arsenic methylation capacity of microorganisms is improved by precisely regulating and controlling the Eh value, in-situ passivation of cadmium is enhanced through the synergistic effect of the carbon-based carrier and the composite flora, synchronous enhancement of arsenic methylation volatilization and cadmium biological membrane passivation is achieved, the difficulty that an arsenic and cadmium pollution treatment technology is'helpful 'is converted into an acting point of technical breakthrough, and the method is suitable for large-scale popularization and application. The arsenic and cadmium co-treatment of the combined polluted soil is realized.

The invention relates to the technical field of soil detection and multi-source information fusion, in particular to a soil moisture content cooperative detection method and system.The method comprises the steps that a target area is determined, and a target thermal infrared image of surface soil of the target area is obtained; extracting target characteristic parameters related to the moisture content from the target thermal infrared image, inputting the target characteristic parameters into the trained BP neural network, and predicting to obtain a surface soil moisture content distribution diagram; based on the surface soil moisture content distribution diagram, determining a target range region with abnormal moisture content through threshold comparison; after the air coupling stepping radar is driven to be aligned with the thermal infrared imaging system in a space-time mode, scanning is conducted in a target range area, and a radar reflection coefficient extracted from an obtained radar image and phase difference information serve as radar characteristic parameters; and performing modeling analysis on the radar characteristic parameters based on a support vector regression (SVR) model, and obtaining soil profile moisture content distribution of the moisture content abnormal region by constructing a nonlinear mapping relation and optimizing model hyper-parameter inversion.