90 results about "Soil salinity" patented technology

The invention provides a saline-alkali soil underground water regulation and control method and device, electronic equipment and a storage medium, and relates to the technical field of land governance. Inputting the first historical monitoring information into a pre-constructed prediction model to obtain a predicted value of soil salinity in a future time period; the predicted value of the soil salinity is input into the analysis model, and the target water level of underground water in the future time period is obtained; wherein the target water level of the underground water is used for restraining the target value of the soil salinity to be smaller than a preset salinity threshold value and the target value of the soil humidity to be larger than a preset humidity threshold value; generating a water level adjusting strategy based on the target water level of the underground water, and controlling the opening or closing of the water pump based on the water level adjusting strategy. According to the method, the soil salinity in the future time period is predicted by acquiring the saline-alkali soil monitoring information, so that the target water level of the underground water is obtained, the water level regulation strategy is generated, and the perspectiveness, dynamic nature and stability of underground water level regulation are ensured.

The invention relates to the technical field of soil drainage and salt improvement, in particular to a coastal saline-alkali soil drainage and salt improvement intelligent regulation and control method and system based on artificial intelligence, and the method specifically comprises the following steps: dividing treatment units, arranging sensing equipment, and collecting multi-source heterogeneous data to form a data set; after data cleaning and time-space synchronization are conducted, standardized feature vectors are obtained through sectional physical perception standardization processing; constructing a graph neural network micro-area irrigation volume demand prediction model, and predicting recommended irrigation volume and soil salinity variation; calculating a loss function of the model and performing iterative training on the model; and performing periodic decision regulation and control circulation on the trained model, converting the output of the multi-source heterogeneous data collected at each decision moment through the model into an instruction, issuing the instruction, and synchronously performing drainage regulation and control. According to the invention, water-salt environment optimization regulation and control can be realized, and an intelligent treatment closed loop is formed.

The invention discloses a calcium-enriched rice straw biochar core-shell particle soil conditioner, which belongs to the technical field of soil improvement and farmland water environment governance, and comprises the following components: a calcium-enriched rice straw biochar core, desulfurized gypsum, a binder and a functional auxiliary agent, the binder is selected from one or more of starch, lignosulfonate, sodium carboxymethyl cellulose and sodium alginate; the functional additive is selected from one or more of humic acid, trace element fertilizer and organic fertilizer; through the comprehensive design on the material structure, the Ca < 2 + > slow release mechanism and the application system, calcium and sodium replacement and soil salinity and alkalinity reduction, flocculation and sedimentation of soil colloid in an alkaline environment, blocking and weakening of a soil-water interface colloid pollution channel and continuous improvement of the soil structure and fertility are synergistically realized.

The invention relates to the field of fertilizer water returning, and discloses an organic fertilizer water real-time nitrogen adjustment and salt control multi-layer drip irrigation system and method, the layered drip irrigation system comprises a fertilizer preparation module, an irrigation distribution module, a data monitoring module, an irrigation water module and a control module; the layered drip irrigation method comprises the following steps: irrigating the earth surface in a seedling stage; fertilizer preparation; performing dilution; crop growth period bottom layer drip irrigation; diluting and adjusting; the nutrient measuring and calculating method comprises the following steps: determining the demand quantity of crop nutrients nitrogen, phosphorus and potassium; the crop nutrient nitrogen, phosphorus and potassium demands are met; generating a dynamic fertilizer preparation scheme; calculating the supplementary irrigation amount and the irrigation quota; the total irrigation amount is generated. According to the method, the total nitrogen content change of the organic fertilizer water and the content change of available nitrogen in the soil are fully considered during stage-by-stage fertilization calculation, the soil salinity is adopted as a reference index, the irrigation water consumption of the organic fertilizer water is measured, and the soil salinization problem of organic fertilizer water recycling in the prior art is solved.

This utility model discloses a saline-alkali land structure with cyclic salt flushing and multi-layer synergistic desalination functions. It includes an ecological cover layer on the surface, beneath which are sequentially arranged a slow-release conditioning layer, a salt-blocking isolation layer, and a salt-draining layer. The salt-draining layer contains several porous salt-draining conduits, which are connected to an underground collection well via a collection and drainage device. It also includes a water return system, one end of which is connected to the collection and drainage device in the collection well, and the other end returns the water to the ecological cover layer, slow-release conditioning layer, salt-blocking isolation layer, and salt-draining layer. This application achieves systematic management of soil salinity migration, dispersion, isolation, and removal through the synergistic interaction of multiple layers of functions, including ecological cover, slow-release conditioning, physical barrier, and salt-draining. This effectively overcomes the drawbacks of traditional single-method improvement methods, such as low desalination efficiency and frequent salt return.

The invention provides a soil salinity inversion method based on polarization restoration and active and passive hedging. The method comprises the following steps: S1, constructing a normalized polarization difference rate reflecting earth surface electromagnetic radiation anisotropy and a space gradient factor reflecting earth surface space heterogeneity; constructing a polarization driving factor representing the land surface composite extinction capability; s2, constructing a dynamic coupling coherent compensation operator; performing energy compensation repair on the initial reflectivity, and analyzing to obtain corrected reflectivity; s3, converting the corrected reflectivity into a total dielectric constant modulus representing the comprehensive polarization intensity of the soil medium; s4, analyzing the real part of the dielectric constant; extracting a dielectric constant imaginary part; and S5, converting the imaginary part of the dielectric constant into the salt content of the soil. The invention also correspondingly provides a soil salinity inversion system based on polarization restoration and active and passive hedging. According to the method, high-precision and strong-generalization soil salinity quantitative inversion without external prior data constraint is realized.

The invention discloses a saline-alkali cultivated land improvement method and system based on dynamic irrigation and drainage regulation, and relates to the technical field of irrigation and drainage regulation, and the method comprises the steps: obtaining soil salinity data, soil moisture data and crop growth data of a cultivation region, extracting salinity migration parameters and water demand parameters, and constructing a water-salt coupling model; performing gridding zoning on the region by combining the salinity concentration distribution and the crop growth period, and calculating the irrigation water amount and the irrigation time of each regulation and control unit; in the irrigation process, root zone salinity and underground water level data are collected, the salinity return moment is recognized, drainage delay is calculated, and the initial drainage moment is obtained; the leaching depth is determined according to vertical distribution of salt in the root zone, evaluation indexes are established in combination with the growth period, drainage time sequences of adjacent regulation and control units are coordinated, and coordinated drainage moments are obtained; and generating an irrigation and drainage regulation and control instruction according to the irrigation and drainage parameters, and outputting and executing. According to the method, dynamic regulation and control of the irrigation and drainage process are achieved, salt drainage efficiency is improved, and salt return is inhibited.

The invention relates to the technical field of data processing, in particular to an ecological environment detection method and device based on multi-source data and a storage medium, and the method comprises the steps: collecting spatial distribution parameters and environmental stress parameters; constructing an intrusion space index based on the target plaque area and the target plaque boundary perimeter; constructing a habitat stress index according to the daily average submerging duration and the soil salinity of the root system layer; constructing a diffusion risk factor according to the plaque area of the associated region of the target plaque, constructing a risk index based on the diffusion risk factor, the intrusion space index and the habitat stress index, and constructing a plaque treatment priority; and constructing an adjustment coefficient according to the canopy temperature daily difference, constructing an update coefficient according to the seed removal rate and the adjustment coefficient, and updating the plaque treatment priority based on the update coefficient and the target plaque area. According to the method, accurate diagnosis, risk early warning and scientific sorting of treatment priorities of the spartina alterniflora invasion situation are realized.

This invention provides a method, apparatus, equipment, and medium for quantitative assessment of salinity migration in composite landscapes. The method includes: acquiring landscape unit distribution information and groundwater monitoring well distribution information within each landscape unit of the composite landscape within a target time period; analyzing soil salinity storage changes, salinity centroid location, and lateral water-salt flux of groundwater based on the landscape unit distribution information and groundwater monitoring well distribution information within each landscape unit to determine multidimensional characteristic parameters of water-salt migration in the composite landscape; determining the lateral flux and spatiotemporal distribution characteristics of salinity in the composite landscape based on the multidimensional characteristic parameters of water-salt migration in the composite landscape to obtain salinity migration assessment results; and implementing zoned management and optimized water resource management based on the salinity migration assessment results. This invention realizes the transformation from single static monitoring to dynamic multidimensional characteristic analysis, providing refined quantitative indicators for accurately assessing the laws of water-salt transport.

The invention belongs to the technical field of fruit tree cultivation and management, and particularly relates to a pre-stepped saline-alkali domestication saline-alkali soil grape seedling field planting method which comprises the following steps: S1, preparing saline-alkali simulation solutions with three concentration gradients of 2g / L, 4g / L and 6g / L according to soil saline-alkali types; s2, before field planting, carrying out stepped saline-alkaline domestication on grape seedlings growing in the culture medium in a stress-recovery alternating mode, and adding 10-50 [mu] M of ABA into 6g / L saline-alkaline simulation liquid for common treatment; s3, after domestication is completed, the domesticated nursery stocks are subjected to field planting on ridges, drip irrigation and film mulching for soil moisture conservation, and management is carried out according to conventional cultivation standards. Through the technical combination of saline-alkali simulated liquid gradient intermittent domestication, exogenous hormone regulation and control combination and the like, the field planting method remarkably improves the field planting survival rate of the grape seedlings in the saline-alkali soil, and is particularly suitable for high-survival-rate field planting and early-stage standardized management of grapes under the medium-high saline-alkali soil condition.

The application discloses a soil salinity inversion method and system based on multi-modal remote sensing data fusion, a device and a storage medium, and is applied to the technical field of soil quality monitoring.The method comprises the following steps: acquiring radar and optical remote sensing data of a soil salinity area to be inversed, and performing conductivity determination as an inversion index of soil salinity; acquiring multi-modal remote sensing features based on radar and optical remote sensing data fusion, combining the radar and optical remote sensing data, and based on a random forest algorithm, using a recursive feature elimination method to optimize the remote sensing feature combination, using cross validation to evaluate the model performance of the remote sensing feature combination, and obtaining an optimal remote sensing feature combination; based on the optimal remote sensing feature combination, a soil conductivity prediction model based on the random forest algorithm is constructed and trained, inputting the data to be measured into the conductivity prediction model after hyperparameter adjustment, and the soil salinity inversion is completed.The application realizes more accurate inversion of soil salinity under the interaction influence of complex environment and human factors.

The utility model relates to a kind of saline-alkali soil rainwater slow-release salt-blocking irrigation device device. The device includes rainwater collection module, salt-blocking module, irrigation module, control module and power module. Rainwater collection module filters rainwater using primary mechanical filter screen and secondary activated carbon filter screen, and prevents clogging and overflow loss through water level sensor at the bottom of water storage tank and overflow protection circuit at the top. Salt-blocking module combines semi-permeable membrane salt-blocking bag and micro-metering pump, dynamically injects salt-blocking liquid, and cooperates with STM32 microcontroller to analyze soil salinity data in real time. Irrigation module uses distributed drip irrigation pipe network and pressure-compensating dripper, and realizes accurate irrigation through duty cycle adjustment of solenoid valve. Power module integrates photovoltaic energy storage system and low-power LoRa communication module, ensuring stable operation of the system in harsh environments.

This invention discloses a plant Bacillus marisflavi This invention relates to the ASR-60 strain and its applications, belonging to the field of beneficial bacteria technology. The invention provides a strain... Bacillus marisflavi The ASR-60 strain was deposited at the China Center for Type Culture Collection on July 14, 2025, with accession number CCTCC M 20251592. The strain exhibits high salt and alkali tolerance and the ability to reduce soil salinity by 18.67%. It also possesses growth-promoting abilities such as nitrogen fixation, potassium solubilization, organic phosphorus solubilization, inorganic phosphorus solubilization, protease production, and cellulase production. Under both normal and salt-alkali stress conditions, it can significantly promote the photosynthetic capacity of cucumber plants, the growth of both above-ground and underground parts, increase cucumber yield, and improve cucumber quality.

The utility model discloses a multi-property soil simulation device, which belongs to the technical field of soil research and comprises a chain scraper conveyor, a spraying saline-alkaline property simulation component for simulating the saline-alkaline property of soil and a rolling hardening simulation component for simulating and adjusting the tightness of the soil, the spraying saline-alkaline simulation assembly comprises a soil scraping assembly and a spraying assembly, the soil scraping assembly is mounted at the upper part of the chain scraper conveyor, and the spraying assembly is mounted at the left end of the soil scraping assembly; and the rolling hardening simulation assembly is mounted at the right end of the soil scraping assembly. Through the mode, the salinity and alkalinity and soil hardening of different soils are simulated, multi-data collection research is performed on the soils in different areas, and the strictness of experimental data is ensured.

The present application relates to the technical field of intelligent management and control of agricultural irrigation, and particularly relates to a drip irrigation mode evaluation and optimization method and system fusing an ecological model, and specifically as follows: first, collecting multi-source data of an irrigation plot and completing standardization processing; through dynamic time alignment and adaptive kernel mapping with soil salinity constraints, a dynamic collaborative feature matrix retaining coupling relationship is constructed; a particle swarm optimizer fusing ecological model constraints is constructed to perform multi-objective optimization on drip irrigation mode parameters to obtain a Pareto optimal solution set; a comprehensive evaluation system containing yield marginal benefit and uncertainty penalty is established to screen an optimal scheme; finally, through field correction and rolling optimization, closed-loop management and control is realized. The present application can solve the problems of data coupling relationship damage, ecological risk constraint absence and optimization scheme robustness deficiency in existing drip irrigation optimization methods, realize multi-objective optimization of drip irrigation mode, take into account high yield benefit and ecological safety, and improve scheme robustness and field applicability.

The present application relates to a kind of soil salt data correction method, device, storage medium and electronic equipment, comprising: calculating soil parameter based on the soil salt data obtained by soil sample test;Reliable sample meeting the condition of soil parameter is selected, first prediction model based on the total charge equivalent predicted by extract solution conductivity is constructed, and second prediction model based on the cation charge equivalent to predict extract solution conductivity;Total charge equivalent prediction value of deviating sample is obtained using first prediction model;The salt type of deviating sample and maximum allowable absolute deviation are determined;Based on soil salt data and total charge equivalent prediction value, the soil salt prediction content of deviating sample is obtained, based on salt content and soil salt prediction content, the salt deviation of deviating sample is obtained;Determine ion adjustment strategy based on soil parameter, adjust the molar concentration in the soil salt data of deviating sample according to ion adjustment strategy, second prediction model.It can improve the reliability of soil salt data.

The invention relates to the technical field of soil environment treatment, and discloses a modifier for soil mineralization, salt fixation and plant growth promotion in facility agriculture and application. The modifier comprises the following components: an iron-based mineralizer, a calcium-based mineralizer and a basic resource material and / or a water-retaining porous material. The components of the modifier are mixed with to-be-remediated soil for soil remediation. According to the modifier provided by the invention, the LDH-like natural mineral phase is naturally formed in situ in the soil by supplementing the deficient elements (iron base, calcium base and the like) for forming minerals in the soil, so that the in-situ mineralization fixation ('ion exchange-electrostatic adsorption-lattice embedding 'three-stage fixation path) of salt-based ions is completed, and the natural mineralization rule of the soil is met; the soil salt-based ions are directly and accurately fixed, the soil salinity is reduced, and the soil property is improved.

The invention discloses a dry farmland saline-alkali soil treatment method by matching microbial agent spraying with organic fertilizer application, and belongs to the technical field of saline-alkali soil treatment. According to the method, specific microbial strains are screened to prepare a microbial agent, and the microbial agent is combined with application of an organic fertilizer, so that the soil structure of the dry farmland saline-alkali soil is improved, the soil salinity and alkalinity are reduced, and the soil fertility is improved, and effective treatment and improvement of the dry farmland saline-alkali soil are realized. Experimental data show that after the treatment method is adopted, the pH value of the soil is remarkably reduced, the organic matter content and the available nutrient content of the soil are remarkably increased, the crop yield is also greatly increased, and good application prospects are achieved.

The invention relates to the technical field of microbial fermentation and soil improvement, and particularly discloses bacillus velezensis and application of the bacillus velezensis in the aspect of saline-alkaline tolerance and growth promotion of plants. The bacillus velezensis LAJ1322 disclosed by the invention has saline-alkaline tolerance, meanwhile, a fermented supernatant obtained by fermentation culture of the strain contains effective components of enol acid and rhodophytic acid, and pot experiment proves that the fermented supernatant can reduce the saline-alkaline value of soil, improve the content of available nutrients in the soil and increase the fertility of the soil, so that the saline-alkaline value of the soil can be reduced, and the saline-alkaline resistance of the soil can be improved. The growth of the brassica campestris in the alkaline land is obviously promoted, and the plant biomass and survival are effectively improved.

The invention relates to a meadow alkaline halophilic bacterium LH-SA-1 capable of absorbing sodium and reducing salt and alkali as well as a saline-alkali soil remediation microbial inoculum and application of the meadow alkaline halophilic bacterium LH-SA-1. The LH-SA-1 is separated from severe saline alkali soil in Jilin Baicheng, the classification name of the LH-SA-1 is Alkalihalophilus lindianensis, and the preservation number of the LH-SA-1 is CGMCC (China General Microbiological Culture Collection Center) No. 32707. The LH-SA-1 can tolerate 3%-45% of various salts such as sodium chloride, sodium sulfate, sodium carbonate and sodium bicarbonate and a strong alkali environment with the pH value of 9-12. The granular saline-alkali soil remediation microbial inoculum is prepared through composite sodium ion induced fermentation and double-membrane coupling concentration technologies in combination with a multifunctional carrier, the bacterial quantity is larger than or equal to 200 * 10 < 8 > CFU / g, and the catalase activity is larger than or equal to 130000 U / g. The microbial agent is applied to soda saline-alkali soil or coastal composite saline-alkali soil in northeast China, has multiple functions of remarkably reducing the saline-alkali content of the soil, improving the porosity of the soil, improving the activity of enzymes such as catalase, peroxidase, urease and alkaline phosphatase in the soil, improving the content of indoleacetic acid in the soil and the like, and provides an efficient and low-cost biological solution for saline-alkali remediation.

The application provides a soil salinity inversion method, device and electronic equipment. The soil salinity inversion method comprises the following steps: training an initial soil inversion model to obtain a trained soil inversion model; obtaining target feature data of a target soil region; inputting the target feature data into the soil inversion model to obtain soil salinity inversion data of the target soil region output by the soil inversion model; wherein the soil inversion model comprises multiple soil inversion sub-model layers, different soil inversion sub-model layers correspond to output of salinity inversion data of different soil depths; the input of the first soil inversion sub-model layer comprises the target feature data, and the input of the Nth soil inversion sub-model layer comprises the target feature data and output data of the (N-1)th soil inversion sub-model layer, wherein N is a positive integer greater than 1. The method can significantly reduce the prediction error caused by the increase of soil depth by using the hydraulic connection between adjacent soil layers, and improve the salinity inversion accuracy.

The invention relates to the technical field of soil preparation and soil remediation, in particular to a saline-alkali soil improvement system and method, and the system comprises an underground drainage unit with a concealed pipe network capable of horizontally moving to dynamically adjust the salt elimination layout; the overground irrigation and salt inhibition unit adopts under-film drip irrigation and integrates a liquid modifier injection function; the soil information monitoring unit is used for monitoring multiple parameters such as soil salinity and humidity in a distributed manner; the integrated management platform is used for receiving the monitoring data and intelligently controlling the collaborative operation of irrigation, drainage and improvement agent application; according to the method, real-time sensing, intelligent decision making and dynamic accurate regulation and control of soil water and salt movement are achieved, the problems that in a traditional improvement technology, drainage layout is fixed, regulation and control are extensive, and the effect is not lasting are solved, and the efficiency and sustainability of saline-alkali soil improvement are remarkably improved.

The invention provides a coastal salinization ecological restoration effect remote sensing monitoring method and system based on artificial intelligence. The method belongs to the technical field of ecological environment remote sensing and artificial intelligence crossing. The method comprises the following steps: collecting multi-source remote sensing data, and generating a multi-source remote sensing original data set; and based on the multi-source remote sensing original data set, carrying out data fusion processing by using a deep learning model, extracting key indexes, and constructing a coastal salinization ecological restoration key index data set. Multi-source remote sensing data are integrated, key indexes such as vegetation coverage and soil salinity are extracted through fusion processing, and then a dynamic evaluation model is built; according to the method, the defect that evaluation is carried out by only depending on a single data source and dividing indexes in a traditional method is directly broken through, the actual situation of coastal salinization ecological restoration can be comprehensively and accurately mastered, monitoring deviation caused by single data dimension or index isolated analysis is avoided, and the monitoring accuracy and comprehensiveness are obviously improved.

This application provides a method, electronic device, and program product for estimating soil salinity in vegetated areas. By introducing two synergistic constraint mechanisms, it effectively overcomes the problem of unstable unmixing in traditional NMF (Natural Motion Modeling) in high vegetation cover (FVC>53%) scenarios. **Unique Spectral Constraint on Vegetation Endmembers:** Based on a pre-constructed vegetation calibration spectral library, similarity constraints are applied only to the spectra of vegetation endmembers, ensuring stable extraction of vegetation spectral features while cleverly avoiding excessive restriction on the decomposition space of soil endmembers, thus fully preserving key spectral information of soil salinity. **Smoothing Spatial Constraint on Abundance Matrix:** Utilizing the spatial correlation of hyperspectral imagery, a smoothing constraint is applied to the abundance of adjacent pixels through a Laplacian matrix regularization term, significantly reducing error accumulation and enhancing the spatial consistency and overall stability of the unmixing results.

The invention discloses a soil salinity inversion method and device based on a hybrid generative adversarial network, and the method comprises the steps: constructing a dual-band and a triple-band of each soil sample, and calculating a second spectral index of each dual-band and a third spectral index of each triple-band; screening dual wavebands according to the first Pearson's correlation coefficient and a preset threshold value, and screening three wavebands according to the second Pearson's correlation coefficient and the preset threshold value; and training the feature hybrid generative adversarial network by using the single wave band, the first coordinate and the first spectral index, and generating a plurality of first synthetic spectral samples and second coordinates according to the screened double wave bands, the second spectral index, the first coordinate, the screened three wave bands and the third spectral index. According to the method, the quality, diversity and number of the second synthetic spectrum samples are improved, the problem that the generalization ability of the soil salinity prediction performance optimal model is weak is solved, and the soil salinity prediction precision of the soil salinity prediction performance optimal model is improved.

The application discloses a kind of based on root system synergic soil fixation estuary intertidal zone vegetation construction method and system, method includes: collecting the hydrodynamic parameter of target area, soil salinity distribution and topographic elevation data, generate the multidimensional environmental characteristic set reflecting tidal scour intensity and site condition;Based on multidimensional environmental characteristic set, output species combination and time window matching scheme;According to matching scheme, generate the multilayer planting structure model with ladder wave dissipation function;According to multilayer planting structure model, the planting density of each species, strip width and the number of alternate units are calculated, and the estuary intertidal zone vegetation construction scheme containing space configuration and seedling demand is generated.Using the embodiment of the application, the three-dimensional anchoring capacity of root network to the soil of intertidal zone can be enhanced, and the survival rate and ecological stability of vegetation community in complex hydrodynamic environment can be improved.

The invention belongs to the technical field of irrigation regulation and control, and discloses a multi-source data fusion irrigation regulation and control system and method for smart agriculture. Comprising the following steps: collecting historical irrigation records and crop yield data of each farmland plot, and constructing a benefit response model library of each farmland plot; underground water level monitoring data and soil salinity accumulation data are collected in real time, and an ecological health degree attenuation curve of each farmland plot is generated; obtaining water resource management data and ecological red line constraint parameters, determining an irrigation amount feasible region of each farmland plot, and determining a sensitive plot in combination with an ecological health degree attenuation curve; according to the irrigation amount feasible region and the ecological health degree attenuation curve of each sensitive land parcel, an optimal benefit-ecological balance point is intelligently identified, and an eco-friendly irrigation regulation and control scheme is generated; according to the invention, intelligent irrigation water volume scheduling is realized on the premise of considering agricultural production benefits and regional ecological sustainability, and progressive degradation of an agricultural ecological system is effectively avoided.

The invention belongs to the technical field of saline-alkali soil planting, and particularly relates to an efficient alfalfa planting method for avoiding salt and waterlogging in severe saline-alkali soil, which comprises the following steps: S1, from April to May, ridging in a field to build a water storage area, laying a plastic film in the water storage area to cover the whole water storage area, and uniformly punching the plastic film to form air holes; s2, from the end of August to the beginning of September, uncovering the mulching film, punching the soil to form planting holes, sowing alfalfa seeds in the planting holes, and then covering the alfalfa seeds with wet sand to form an isolation layer. According to the efficient alfalfa planting method for avoiding salt and waterlogging in the severe saline-alkali soil, rainwater is accumulated in summer to leach and reduce soil salinity, a suitable germination environment is created in combination with wet sand covering, the alfalfa emergence rate is remarkably increased, and the purpose of full seedling is achieved.

The invention discloses an efficient cultivation method for oilseed rapes in saline-alkali soil in the field of agricultural resources and environments, and aims at the prominent problems of high salinity, high pH, poor soil structure and the like in the saline-alkali soil, a set of systematic cultivation system is constructed by integrating a novel multifunctional nano composite material. The method comprises the following core steps: firstly, performing deep positioning improvement and micro-aerobic deep ploughing on soil, and combining gradient moisture regulation and surface covering treatment; then, performing three functional treatments of nanometer initiation, microbial coating and physical protection layer construction on the rape seeds, and performing accurate sowing according to the soil salinity difference; in the growth period of the rape, pulse type irrigation, three-dimensional fertilization and foliar nutrition regulation are implemented in stages, and a microbial agent with a specific function is supplemented; after harvesting, continuous soil improvement such as straw returning, green manure planting and the like is carried out. According to the method, the soil microenvironment of the saline-alkali soil can be improved, the emergence rate, the survival rate and the yield of rape are effectively increased, and meanwhile the sustainable target of improvement while production is achieved.

The invention belongs to the technical field of soil salinity inversion, and particularly provides a GNSS-R soil salinity inversion method and system based on cross-modal fusion, and the method comprises the steps: carrying out the data fusion and quality control of a Tianmu-1 satellite observation data set and an SMAP satellite auxiliary data set, and obtaining a DDM image and multi-dimensional auxiliary features; based on the DDM image and the multi-dimensional auxiliary features, a T-GateFusion Net module, a Hybrid Former module and a second dynamic fusion module are combined, and a cross-modal dynamic fusion model is constructed; and based on the cross-modal dynamic fusion model, carrying out inversion on the soil salinity in a preset area to obtain a soil salinity inversion result. According to the technical scheme of the invention, soil salinity inversion is carried out by using multiple types of features, and the precision of a soil salinity inversion result is improved.