305 results about "Sodication" patented technology

The invention relates to the field of saline-alkali soil water-fertilizer regulation, in particular to a saline-alkali soil soybean water-fertilizer-salt regulation dynamic decision-making method and system. A saline-alkali soil soybean water, fertilizer and salt regulation dynamic decision-making system comprises a region division module, a data monitoring module, an irrigation initial decision-making module, a fertilization initial decision-making module, an irrigation decision-making acquisition module and a fertilization decision-making acquisition module. By integrating an advanced sensor technology and an intelligent decision-making model, key parameters are accurately monitored, and the total amount of irrigation and fertilization required in a specific time window in the future is calculated in combination with crop growth stages and historical water and fertilizer records; meanwhile, the irrigation and fertilization frequency can be dynamically adjusted according to soil and environment data monitored in real time, waste of water resources and fertilizer is avoided, the possible soil salinization problem is solved, soil health can be maintained, and crop growth is promoted.

The invention discloses an artificial intelligence rice water and fertilizer real-time monitoring method and system, and relates to the technical field of agricultural intelligent decision making, and the method comprises the steps: inputting a farmland feature data set into a soil thermodynamic diagram generation model, carrying out the high-resolution reconstruction of the farmland feature data set through a GAN adversarial network, and generating a whole-field high-precision soil thermodynamic diagram; based on the whole-field high-precision soil thermodynamic diagram, a collision relation between the fertilization amount and historical farming data is detected according to an FCL causal algorithm, a preliminary causal diagram is generated, and a causal diagram structure of the fertilization amount and the historical farming data is constructed by adopting a multiple linear regression method; based on a causal diagram structure, the multi-order causal effect of the fertilization amount, the soil parameters and the historical yield is analyzed through a dynamic allocation algorithm, and a water and fertilizer regulation and control strategy is formulated in combination with a multi-objective optimization algorithm. According to the method, the soil thermodynamic diagram generation model is constructed, so that the fuzzy problem of the edge of the field and the salinization area is solved, a high-fidelity soil space state substrate is provided for water and fertilizer regulation and control, and invalid irrigation is reduced.

The invention provides a rice growth model construction method and system based on salt stress, and relates to the technical field of growth model.The rice growth model construction method comprises the steps that firstly, monitoring points are arranged in a planting sample area, and soil conductivity data of different depths are obtained through a multi-depth soil conductivity sensor and a Kriging interpolation method; collecting root system density, a multispectral remote sensing image and a leaf area index, and calculating a canopy salt stress index; measuring the concentration of related ions to obtain a sodium adsorption ratio, and establishing a salt stress coefficient by combining the soil conductivity and the irrigation volume; fusing canopy and soil stress indexes to generate a stress comprehensive index, and introducing a salinity feedback item to represent the crop compensation capability; and finally, constructing a hybrid machine learning model by adopting a convolutional neural network and a long-short-term memory network to realize rice growth dynamic prediction. According to the method, multi-dimensional salinity stress quantification of a soil-crop system is realized, and decision support is provided for salinization treatment in precision agriculture.

The invention discloses a salinization farmland crop yield prediction method, which is applied to the technical field of crop yield monitoring and prediction, and comprises the following steps: based on a vegetation index and a salinity index, inverting salinity by using a partial least square regression method; inverting the soil moisture based on an empirical relation model of the conditional vegetation temperature index and the actually measured soil moisture; inverting the leaf area index based on an empirical relation model of the normalized vegetation index and the actually measured leaf area index; the method comprises the following steps: constructing an HYDRUS-1D-EPIC coupling model considering salinity, carrying out sensitivity analysis by using an extended Fourier amplitude sensitivity test method, carrying out parameter calibration and posterior distribution inference on the coupling model by using an MCMC method, and sampling posterior distribution by using a DREAM method; and assimilating the inverted salinity, soil moisture and leaf area index to the coupling model by using an ensemble Kalman filtering method, and predicting the crop yield of the salinized farmland. According to the method, the yield prediction precision of the salinized crops is effectively improved.

The invention relates to the field of farmland ecological protection, in particular to a salinization farmland protection forest configuration optimization system and method, and the system comprises a salinization monitoring module, an edge calculation module, a database, a three-dimensional model module, a model optimization module and a configuration scheme optimization module. The salinization monitoring module acquires data through an unmanned aerial vehicle and a hyperspectral imaging spectrometer and determines a soil salinity distribution state, the edge calculation module receives the data and carries out protection forest configuration model calculation, the database stores a calculation model and soil salinity and vegetation growth state data, and the three-dimensional model module generates a three-dimensional spatial-temporal model of forest growth. The model optimization module utilizes deep reinforcement learning to optimize a soil salinity and underground water level simulation model, the protection forest configuration effect is improved, the configuration scheme optimization module generates an optimal protection forest configuration scheme, a complex interaction process is accurately represented, and an efficient and accurate technical means is provided for ecological protection of salinized farmland.

The invention discloses an application of a medicago sativa MsDGK5 gene and a protein coded by the medicago sativa MsDGK5 gene in salt stress resistance of plants, and belongs to the technical field of plant genetic engineering. The nucleotide sequence of the medicago sativa MsDGK5 gene provided by the invention is as shown in SEQ ID NO. 1. According to the application, MsDGK5 gene overexpressed arabidopsis thaliana and medicago sativa transformation plants are constructed, growth and development indexes and physiological and biochemical parameters of the plants under salt stress are systematically measured, and it is proved that overexpression of the MsDGK5 gene can significantly improve the salt tolerance of the transgenic plants. Based on the experimental results, the key regulation effect of the MsDGK5 gene in plant salt tolerance is defined for the first time, an important gene resource is provided for crop salt tolerance genetic improvement, and a new technical approach is also provided for coping with the increasingly aggravated soil salinization problem.

The invention discloses a salinization dynamic monitoring method based on water-salt migration characteristics and a related device, and relates to the technical field of agricultural informationization, the method comprises the following steps: processing microwave remote sensing data into characteristic data, and using a soil salt content inversion model to obtain remote sensing inversion soil salt content, and assimilating microwave remote sensing data by using a water-salt migration model in combination with daily evaporation capacity, soil water content and underground water data to obtain soil salt content changing along with time in a target period. The microwave remote sensing data and the water-salt migration model are combined, the defects of the water-salt migration model in the aspect of soil salinization monitoring can be overcome, the limitation that common optical remote sensing data are greatly restricted by weather factors such as cloud and mist can be overcome, the method can be suitable for soil salinization monitoring in a regional range, and the application prospect is wide. The dynamic change of the salt content of the saline soil can be accurately monitored in a large range for a long time.

The invention discloses a saline-alkali cultivated land information monitoring method based on spectral analysis. The method comprises the following steps: step 1, data preparation: collecting and processing data covering a target area; step 2, spectral index calculation and fusion: carrying out unary linear regression fusion on the salt index subjected to ground hyperspectral transformation and the salt index subjected to simultaneous Sentinel-2 multispectral calculation to generate a high-multispectral fusion index data set, and constructing a characteristic variable library; 3, feature variable selection: screening out key features from a feature variable library; 4, constructing and training a support vector machine model: training a support vector machine regression model; 5, salinity inversion and precision verification: outputting a soil salinity prediction value, generating a soil salinity spatial distribution diagram of the cultivated land in the Hetao irrigation area according to the soil salinity prediction value, and dividing cultivated land salinization grades by combining an inversion result; and 6, dynamic monitoring: repeating the steps to the step 5, and generating a salinization dynamic change diagram.

The invention discloses a soil secondary salinization degree early warning method and system, and the method comprises the steps: obtaining and preprocessing soil multi-source heterogeneous data, and obtaining driving factor data; based on the driving factor data, screening key driving factors of the soil secondary salinization key driving factors by adopting a feature importance evaluation method; analyzing the key driving factor by adopting a correlation analysis method, determining a salinization threshold of the driving factor by adopting a threshold segmentation technology according to an analysis result, if the driving factor exceeds the salinization threshold, judging that a salinization risk exists, and establishing a salinization early warning model through a random forest algorithm, the salinization development situation is simulated, the influence degree is evaluated, and an evaluation result is obtained; and constructing an early warning information issuing platform, uploading an evaluation result to the early warning information issuing platform in real time, carrying out visual display on the risk level and the key driving factor, and pushing early warning information through a mobile terminal. According to the invention, precise early warning of soil secondary salinization is realized.

The invention provides a saline-alkali soil improvement data analysis method and system based on remote sensing data, and relates to the technical field of land scientificity, and the method comprises the steps: collecting ground monitoring data and remote sensing data, and generating a comprehensive feature vector and a spectrum feature value; then, outputting a saline-alkali soil improvement grade by using a convolutional neural network model; a correction coefficient is generated through the soil salinization index, the spectral index and the pH value, an upgrading and downgrading mechanism is set in combination with a correction threshold interval, and the improvement grade is dynamically adjusted to make up for the model error and improve the evaluation accuracy. According to the method, the saline-alkali soil quantitative analysis model based on the convolutional neural network is constructed, and the ground monitoring data and the remote sensing spectrum characteristic data are combined, so that the improvement grade of the saline-alkali soil is scientifically evaluated.

The invention relates to the technical field of greenhouse vegetable planting environment regulation and control, in particular to an internet-based intelligent greenhouse vegetable environment regulation and control system and method, which comprises an acquisition module, a monitoring module, an analysis module, a decision module, an execution control module and a mobile terminal interaction module, in combination with a preset successive cropping obstacle threshold model, analyzing to obtain the soil secondary salinization degree, the nutritional imbalance state, the microflora disorder index and the allelochemical toxicity grade; and the decision module is used for generating a comprehensive regulation and control strategy including crop rotation suggestions, irrigation amount, a fertilization scheme, biological control measures and environmental parameter regulation instructions in combination with facility vegetable types and growth stage requirements. A continuous cropping obstacle analysis result is obtained through the analysis module in combination with big data and a machine learning algorithm, a comprehensive regulation and control strategy is generated, continuous cropping obstacles are effectively dealt with, and the planting efficiency and the vegetable quality are improved.

The utility model relates to a saline-alkali soil improvement system which comprises a monitoring mechanism, a salt discharging mechanism and an irrigation mechanism, the monitoring mechanism is erected above soil, the salt discharging mechanism and the irrigation mechanism are both buried in the soil, the irrigation mechanism is buried above the salt discharging mechanism, and the irrigation mechanism is communicated with a water and fertilizer integrated tank; the monitoring mechanism comprises a photovoltaic panel and a controller, the photovoltaic panel is in transmission connection with the photosensitive sensor driving motor, the photovoltaic panel is electrically connected with the controller and the irrigation mechanism, and the controller is in communication connection with the irrigation mechanism and the detection equipment. The technical problems that long-term effectiveness and sustainable development are difficult to achieve, water resources are wasted, and soil secondary salinization is caused due to the fact that drainage is not timely are solved.

The invention belongs to the technical field of soil remediation, and discloses a secondary salinization soil leacheate sampling device which comprises a drill rod, a grouting main pipe is arranged in a sampling cavity of the drill rod, the outer wall of the grouting main pipe is communicated with a plurality of grouting branch pipes, and the grouting branch pipes are in transmission connection with a first driving assembly in the sampling cavity; the grouting branch pipe comprises an inner pipe communicating with the outer wall of the grouting main pipe, and an outer pipe in transmission connection with the first driving assembly is slidably connected to the inner pipe. A plurality of sampling barrels with openings are rotationally arranged on the outer pipe, and the sampling barrels are in transmission connection with a second driving assembly arranged on the outer pipe; and a spirally arranged cutting knife is arranged in the sampling barrel. The device is compact in structure and convenient to use, leacheate injection and later sampling can be carried out in secondary salinized soil through the same device, a sample obtained after soil leaching can be stably and effectively obtained, the influence of the sampling process on the sample is avoided, later detection and use are facilitated, and secondary salinized soil leacheate remediation is assisted to be completed.

The invention discloses an ecological restoration method for salinized land in a semi-arid region based on a natural solution. The ecological restoration method comprises the following steps: S1, defining a plurality of ecological restoration regions; s2, planting plants; in each ecological restoration area, high-layer plants are planted on a circle of the edge of the ecological restoration area, and a circle of middle-layer plants and a circle of low-layer plants are sequentially planted into the ecological restoration area; s3, arranging an ecological restoration area; according to the invention, an ecological restoration area with multi-layer plant distribution can be formed, the restoration and improvement of biodiversity are facilitated, and through the arrangement of the first groove, the sand barrier and the spacing between the first groove and the sand barrier, the purpose that seeds of plants in each layer stay in or near the first groove along with wind to achieve sowing and growth can be achieved in the subsequent year; multiple layers of plants along the first grooves are formed, the ecological restoration effect is enhanced, subsequent sowing through wind power is facilitated, and manual close planting is not needed any more.

The invention discloses a salinization remote sensing inversion method fusing crop information and data preprocessing. A land utilization data set is subjected to splicing, cutting and other processing to obtain a high-confidence-coefficient cultivated land range; point distribution sampling is carried out according to a regular grid method, and soil conductivity is measured; preprocessing the remote sensing image; dividing crop growth stages and constructing a multi-temporal spectral feature set; constructing an NDVI time sequence data set and extracting phenological characteristics; extracting planting structure information based on the multi-temporal spectrum and phenological characteristics; a planting structure is converted into crop type data through one-hot coding, and the crop type data is fused with multi-temporal spectrum and phenological characteristics to construct a crop information data set; the method comprises the following steps: constructing a salinity inversion model through data preprocessing and combining with ground actually measured salinity data, and verifying the salinity inversion model; evaluating the cross-year generalization ability of the model; and finally, the inversion result is visualized to generate a salinization map. According to the invention, the system integrates the multi-dimensional information of crops and optimizes the data preprocessing process, and significantly improves the salinization monitoring precision and the cross-space-time adaptability.

The invention relates to the technical field of soil ecological monitoring, in particular to a coastal saline soil dynamic monitoring and early warning system based on the Internet of Things, which comprises a collaborative monitoring unit, a fusion resolving analysis unit and an early warning trigger unit. The capillary water rising flux and the underground water seepage direction are synchronously monitored, the fusion resolving analysis unit dynamically corrects the capillary conductivity through a pore scale migration model in combination with three-dimensional pore structure parameters reconstructed through soil CT scanning, the salt exchange capacity is resolved, the salt increment is predicted through a long and short-term memory network, and a decision coefficient is calculated. The early warning trigger unit judges the secondary salinization risk when the conditions are met, activates drainage equipment and pushes early warning, the problems that traditional monitoring dimensions are single and the early warning precision is insufficient are solved, and the method is suitable for dynamic monitoring and risk prevention and control of coastal salinized soil.

The invention relates to a composite microbial inoculant for soil improvement, the composite microbial inoculant for soil improvement is composed of PGPR (Pseudomonas tianjinensis) and AMF (Amplified Macrophage Fungi), the PGPR is Pseudomonas tianjinensis and Pseudomonas oryzae, and the AMF is rhizophagus clarus. The composite microbial inoculant for soil improvement is characterized in that the PGPR is Pseudomonas tianjinensis and Pseudomonas oryzae, and the AMF is Pseudomonas oryzae, the PGPR is Pseudomonas tianjinensis and Pseudomonas oryzae. According to the invention, the Pseudomonas tianjinensis, Pseudomonas oryzae and AMF are compounded, so that a synergistic effect is exerted, an obvious growth promoting effect on the ryegrass in the saline-alkali soil is achieved, the content of photosynthetic pigments in the ryegrass is increased, the contents of soluble sugar, soluble protein, proline and malondialdehyde in the ryegrass are further increased, and the CAT enzyme activity is improved. In addition, the complex microbial inoculant is combined with ryegrass planting, a plant-microorganism synergistic system is formed, salinized soil is effectively improved, the conductivity and pH of the soil are reduced, the content of nitrogen, phosphorus and potassium in the soil and the content of rapidly available phosphorus and rapidly available potassium are increased, and meanwhile the activity of urease and phosphatase is improved.

The invention provides a soil salinization risk dynamic early warning method based on a graph neural network, and relates to the technical field of agricultural environment monitoring and geological disaster early warning. Comprising the steps of obtaining a multi-source data set of a to-be-detected area; preprocessing the multi-source data set through a self-adaptive data preprocessing technology to obtain preprocessed data; constructing a space-time diagram structure according to the preprocessed data; inputting the space-time diagram structure into a constructed soil salinization risk map neural network model to obtain a multi-level feature map set; by introducing a transformation learning mechanism, screening the multi-level feature image set by utilizing dynamic weight adjustment to obtain an effective feature set; and performing risk dynamic prediction on the effective feature set by using a multi-task learning method to obtain a prediction result. According to the method, the problem that the prediction performance of the model is limited due to the fact that most of methods based on spatial data in the prior art adopt a traditional machine learning algorithm and the spatial dependency and the nonlinear relationship among the data are often difficult to fully capture is solved.

The invention discloses a saline-alkali soil multi-water-source accurate salt control irrigation and drainage integrated system and equipment, and relates to the technical field of saline-alkali soil irrigation and drainage, and the system comprises a multi-water-source intelligent evaluation and dynamic allocation module, an accurate salt control-irrigation and drainage cooperative regulation and control module and an integrated anti-blocking salt discharge and tail water reuse module; by monitoring water source salinity, soil data and a crop salt demand model in real time, dynamically calculating an optimal water source combination, for example, low-salt rainwater is preferentially used for sensitive crops, and a valve is automatically regulated and controlled to switch water sources, the scheme has the advantages that high-salt brackish water is prevented from aggravating salinization, the water resource utilization rate is increased by 30% or above, and blindness of traditional artificial experience allocation is solved; meanwhile, decision making is driven through multi-module data linkage, for example, the irrigation and drainage proportion is regulated and controlled through water source data, and the control unit responds to salinity exceeding within 10 seconds; the scheme has the advantages that manual intervention is reduced by 90%, the engineering advantages of anti-corrosion flow guide design, water flow driving energy conservation, modularization, easy maintenance and the like are implied, and the method is suitable for various saline-alkali land terrains.

The invention belongs to the technical field of soil remediation, and discloses a secondary salinization soil leacheate sampling device which comprises a drill rod, a grouting main pipe is arranged in a sampling cavity of the drill rod, the outer wall of the grouting main pipe is communicated with a plurality of grouting branch pipes, and the grouting branch pipes are in transmission connection with a first driving assembly in the sampling cavity; the grouting branch pipe comprises an inner pipe communicating with the outer wall of the grouting main pipe, and an outer pipe in transmission connection with the first driving assembly is slidably connected to the inner pipe. A plurality of sampling barrels with openings are rotationally arranged on the outer pipe, and the sampling barrels are in transmission connection with a second driving assembly arranged on the outer pipe; and a spirally arranged cutting knife is arranged in the sampling barrel. The device is compact in structure and convenient to use, leacheate injection and later sampling can be carried out in secondary salinized soil through the same device, a sample obtained after soil leaching can be stably and effectively obtained, the influence of the sampling process on the sample is avoided, later detection and use are facilitated, and secondary salinized soil leacheate remediation is assisted to be completed.

The invention discloses a method for improving soil salinization. The method comprises the following steps: (1) throwing an absorbing material capable of enriching salt on the surface of soil to be treated; (2) sprinkling water to wet the soil, wherein the sprinkling water amount enables the salt on the surface of the salinized soil to be enriched on the absorbing material; (3) after the soil is aired, repeating the step (2) again until the salt on the absorbing material is enriched and saturated; and (4) collecting the absorbing material, washing with water to remove salt, and repeating the steps (1)-(4) until the measured salinity of the surface soil is less than 0.3%. The method is easy to operate, wide in application range, low in cost and capable of well reducing soil salinity and achieving the purpose of improving soil salinization.

The invention discloses an application of an OsST1 gene in regulating and controlling the salt tolerance of rice. Belongs to the technical field of plant genetic engineering. The invention provides the application of the OsST1 gene in regulation and control of the salt tolerance of the rice, the effect of the OsST1 gene in the salt tolerance of the rice is proved for the first time, and research finds that overexpression of the OsST1 gene can improve the salt tolerance of a rice plant and improve the survival rate of the rice plant under salt stress, which indicates that the OsST1 gene has the effect of regulating and controlling the salt tolerance of the plant, and the application of the OsST1 gene in the regulation and control of the salt tolerance of the rice plant. The adverse effect of soil salinization on rice growth in practical application is solved, and meanwhile, biological function verification of the gene also has important reference significance for rice salt tolerance molecular mechanism research.

The invention discloses an application of an OsEnS-110 gene in regulating and controlling the salt tolerance of rice. Belongs to the technical field of plant genetic engineering. The invention provides the application of the OsEnS-110 gene in regulation and control of the salt tolerance of the rice, the effect of the OsEnS-110 gene in the salt tolerance of the rice is proved for the first time, and research finds that overexpression of the OsEnS-110 gene can improve the salt tolerance of a rice plant and improve the survival rate of the rice plant under salt stress, which indicates that the OsEnS-110 gene has the effect of regulating and controlling the salt tolerance of the plant, and the application of the OsEnS-110 gene in the regulation and control of the salt tolerance of the rice plant. The adverse effect of soil salinization on rice growth in practical application is solved, and meanwhile, biological function verification of the gene also has important reference significance for rice salt tolerance molecular mechanism research.

The invention relates to a method for relieving soil salinization through combination of agriculture and forestry solid waste and hydrotalcite and application, and belongs to the technical field of soil improvement. The method comprises the following steps: stripping surface saline-alkali soil, crushing agriculture and forestry solid wastes, spreading the crushed agriculture and forestry solid wastes on the land to form a biomass layer, mixing hydrotalcite powder roasted at a high temperature with the stripped soil, covering the biomass layer with the mixture, and finally flattening and sprinkling water to moisten the soil. According to the invention, rising of soil capillary water is blocked through the biomass layer, salt accumulation is reduced, and meanwhile, the soil salinization degree is reduced by utilizing adsorption and ion exchange effects of hydrotalcite. In addition, the agriculture and forestry solid wastes are decayed to generate organic acid, salt is fixed through chelation, and the soil structure is improved. According to the method, soil salinization can be effectively relieved, the air permeability and the water permeability of the soil can be improved, a good environment is provided for crop growth, the crop yield is remarkably increased, the improvement period is short, the application range is wide, and economic benefits are remarkable.

The invention belongs to the technical field of soil inversion, and particularly relates to a soil total salt content inversion system and method based on an improved spectral index, and the method comprises the steps: obtaining a remote sensing image obtained through preprocessing of Sentinel-2; acquiring a sample of the soil sampling point and measuring the total salt content of the soil; analyzing spectral reflectivity characteristics of different salinized soil; analyzing the correlation between the spectral reflectivity and the total salt content of the soil; a wave band with the strongest correlation with the total salt content of the soil is introduced to improve a traditional spectral index; analyzing the correlation between the improved spectral index and the total salt content of the soil; constructing a nonlinear index inversion model of the total salt content of the soil based on the improved spectral index; and comparing different model precisions to obtain an optimal soil total salt content inversion model and drawing. According to the method, the problems that the precision of the soil total salt content inversion method based on the spectral index is low and the actual application requirement is difficult to meet are solved, and decision support is provided for dynamic monitoring of land salinization and sustainable utilization of land resources.

According to the coastal saline-alkali soil water storage system device and the application thereof, on the basis of the characteristics that water and salt in coastal saline-alkali soil are actively transported, and the salinity change amplitude in an irrigation canal is large, ground surface reservoirs of different sizes are laid between field parcels, and the water flow direction of the reservoirs is judged through real-time conductivity data of pond water, canal water and irrigation water; the salt gradient controllable water storage system is formed and controlled according to salt tolerance threshold values of nearby crops, so that the irrigation and salt leaching requirements of different crops in different seasons are met. The water storage device can input the capacities of different reservoirs, crop salt tolerance thresholds, irrigation water demand and the like, estimates the field covered by the water storage device, and optimizes the cultivation mode planning. The device can accumulate irrigation water in different salinity ranges under the condition that the salinity of a surface water body changes drastically, can fully utilize different water sources such as surface water and rainwater, and is very suitable for coastal salinization farmland with relatively rich water resources.

The invention relates to the technical field of soil treatment, in particular to an integrated saline grainfield soil improvement and remediation method. According to the method, precise irrigation, concealed pipe drainage, salt-tolerant crop planting and bioremediation technologies are comprehensively applied, and systematic treatment of the salinized soil is achieved. Precise irrigation dynamically regulates and controls the leaching depth and frequency on the basis of real-time soil salinity and moisture data, the underground water level is intelligently controlled in combination with an underground pipe drainage network, salt accumulation is effectively reduced, and water resource waste is avoided; according to the salt-tolerant crop and green manure rotation mode, salt damage is reduced through plant salt absorption and root system nitrogen fixation, soil organic matter accumulation and microbial community reconstruction are promoted through application of a microbial agent and biochar, and a sustainable soil improvement mechanism is formed. The intelligent monitoring system integrates multiple types of sensors, collects key indexes such as salinity, nutrients and pH values in real time, predicts the salinization trend and regulates and controls irrigation, fertilization and drainage equipment in a linkage mode, full-process automatic management is achieved, and the management precision and efficiency are remarkably improved.

The invention provides a method for measuring and calculating a collaborative safety index of a water-grain-ecological composite system in an arid region, and relates to the technical field of collaborative management of green agricultural resources in the arid region. The method aims at solving the technical problem that in the prior art, a system for evaluating the water-grain-ecology multi-element co-evolution relation with an arid region as a research object is lacked. The method comprises the following steps: constructing a state parameter index system of water resource, grain and ecological safety in the arid region, and measuring and calculating through an improved G1-CRITIC subjective and objective weighting method to obtain a subsystem safety index reflecting a state parameter of a composite system; and inputting the subsystem safety index into a pre-established Hakkine model, analyzing the co-evolution process of the water-grain-ecological composite system, and measuring and calculating to obtain a water-grain-ecological collaborative safety index reflecting the collaborative safety state of the water-grain-ecological composite system. According to the method, from the perspective of the compound system, the dynamic relationship among water-grain-ecology is revealed under the background of agricultural green development in the arid region, and the technical blank in the aspect of research on the evolution mechanism of the compound system in the arid region is effectively filled. According to the method, the water competition of the arid region can be relieved, the soil salinization and underground water mineralization process can be slowed down, a high-level cooperation mechanism of mutual promotion and dynamic adjustment among water, grain and ecology is formed, so that the green and sustainable development of agriculture in the arid region is promoted, and the method has important theoretical value and practical application prospects.

The invention provides a non-uniform underlying surface soil hydrothermal salt migration and crop growth coupling simulation method, which comprises the following steps: constructing a two-dimensional soil hydrothermal salt migration model considering a partial film non-uniform underlying surface and crop growth, and setting initial conditions and boundary conditions of operation of the two-dimensional soil hydrothermal salt migration model; and connecting overground crop growth and underground soil hydrothermal salt migration through root system water absorption and soil hydrothermal salt stress, solving a two-dimensional soil hydrothermal salt migration model according to input soil information, meteorological data, crop growth data and required parameters, and obtaining hydrothermal salt distribution characteristics and crop growth indexes on a soil two-dimensional section at a specified moment. On the basis of a traditional two-dimensional soil hydrothermal salt migration model, the influence of crop root system water absorption dynamic change, crop canopy coverage and mulching film temperature increasing and soil moisture conservation effects on soil hydrothermal salt migration is considered, and the method is more suitable for simulation of hydrothermal salt migration and crop growth processes in under-mulch drip irrigation farmland salinized soil.

The invention discloses an experimental device and method for simulating transportation of seasonal frozen soil hydrothermal salt. The experimental device comprises a water supply simulation system, a soil sample section simulation device, an auxiliary device and a data acquisition and control system which are fixed on a steel structure frame, according to the scheme, through the water supply simulation system, the soil sample profile simulation device, the auxiliary device and the data acquisition and control system, main experimental parameters such as an infiltration water head, underground water level occurrence, freezing and thawing temperature and time, illumination intensity, irrigation amount and the like are monitored and controlled, and the purpose of simulating the outdoor soil environment is achieved; meanwhile, parameters such as moisture, temperature, salinity and conductivity of different layers of the soil are obtained, and then the desalting effect of hydrothermal salt migration and salt-reducing and water-retaining materials in the soil in a single state or multiple combined states of normal freezing, infiltration, evaporation and freeze thawing is evaluated, so that a mode suitable for predicting and controlling soil salinization is selected; powerful technical support is provided for soil water and salt treatment.