138 results about "Soil salinity" patented technology

The invention discloses a coastal wetland vegetation degradation dynamic monitoring method based on multi-modal transfer learning, and belongs to the technical field of ecological environment monitoring, and the method comprises the steps: data acquisition: collecting coastal wetland region data through a plurality of sensors, feature extraction and fusion: preprocessing multi-source data, extracting space, time series and physical parameter features, and carrying out feature fusion; and fusing the data features of different modalities. According to the method, all-around and high-precision perception of the coastal wetland ecological environment is realized, the spatial-temporal resolution of data acquisition is improved, the response capability to complex environmental factors is enhanced, the generalization capability and prediction precision of the model are effectively improved, key environmental factors such as soil salinity can be incorporated into an evaluation system, and the evaluation accuracy is improved. The scientificity and pertinence of ecological risk identification are further improved, the efficiency and response speed of coastal wetland ecological management are improved, and powerful support is provided for formulating scientific and reasonable ecological protection and restoration measures.

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 a special fertilizer suitable for saline-alkali soil and a preparation method thereof. The fertilizer is granular and has a multi-layer structure which is sequentially arranged from inside to outside: a nutrition core layer, a controlled release film layer, a soil improvement fast exchange layer and a microorganism attaching layer. The nutrition core layer contains nitrogen, phosphorus, potassium and medium trace elements, and meets the basic nutrient requirements of crops; the controlled release film layer is self-assembled layer by layer by adopting alginate / chitosan, a humic acid-ferrous complex and a breakable cross-linking point are inserted into the film, and starch is sprayed on the outer layer, so that an ionic strength / alkalinity dual-response controlled release system is formed; the soil improvement quick exchange layer contains microcrystalline gypsum and ferrous sulfate; the microbial epiphytic layer fixes salt-tolerant phosphate solubilizing bacteria, potassium bacteria and exopolysaccharide-producing bacillus by using a charcoal-zeolite carrier, and the bacteria are distributed on the surfaces of the particles in a dotted manner. The fertilizer realizes organic combination of soil improvement, fertilizer supply and microbial regulation and control, can significantly reduce the soil salinity and alkalinity in a saline-alkali soil environment, and improves the fertilizer utilization rate and the crop growth performance.

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 embodiment of the invention discloses an unmanned aerial vehicle image-based hexagonal grid unit soil salinity assessment method, which comprises the following steps: acquiring multispectral images of a cotton field to be assessed through an unmanned aerial vehicle, including a red light image, a green light image, a blue light image and a near-infrared image; dividing a plurality of to-be-evaluated regular hexagon evaluation units according to the to-be-evaluated cotton field multispectral image; training a cotton field soil salinity evaluation model; and performing soil salinity evaluation on each to-be-evaluated regular hexagonal evaluation unit by adopting the trained cotton field soil salinity evaluation model. Compared with the prior art, the invention provides a method for calculating and evaluating the soil salinity by using an unmanned aerial vehicle image and a regular hexagon evaluation unit, and more image features related to the soil salinity strength can be captured, such as the area ratio of crops in the unit, the physiological and ecological indexes of the crops in the unit and the salt spot condition around the unit. More features are more beneficial to accurate evaluation of soil salinity, irrigation can be optimized, and the cotton yield can be increased.

The invention relates to the field of soil improvement, in particular to a saline-alkali soil improvement method which comprises the specific steps of deep ploughing and crushing, drainage system building and pesticide spreading, high-molecular polymer application and microbial agent inoculation. Good soil conditions are created through a physical improvement method, the soil salinity and alkalinity are rapidly reduced through a chemical improvement method, the salt-tolerant microbial agent can decompose organic matter, improve soil micro-ecology, reduce salinity toxicity and promote plant growth, and the saline-alkali soil improvement efficiency and effect are remarkably improved through mutual cooperation of the three methods; the method reduces the excessive use of chemical substances in a single chemical improvement method, realizes the ecological restoration of the saline-alkali soil through a physical method, a chemical method and a microbiological method, reduces the negative influence on the environment, improves the sustainability of improvement, effectively improves the soil structure and the ecological environment, provides good conditions for plant growth, and realizes the efficient utilization of the saline-alkali soil.

The invention belongs to the technical field of transformer substation grounding grid monitoring, and discloses a transformer substation main grounding grid real-time safety monitoring system based on multi-sensor fusion, which adopts a MySQL and InfluxDB mixed architecture through a dynamic association database module, and stores static data such as transformer substation position, grounding grid material and the like, and dynamic data such as soil parameters, corrosion rate and the like respectively; meanwhile, a soil parameter and sampling frequency dynamic mapping table is built in, and when it is recognized that the soil salinity is larger than 15 mS / cm or the pH is smaller than 5.5, a sampling frequency adjusting instruction can be sent to the sensor array module, and the automatic soil sample collecting device is started; the module also establishes a material corrosion digital twinborn model and a climate partition library, provides scene data for the scheme dynamic adaptation and operation and maintenance module, enables the scheme dynamic adaptation and operation and maintenance module to output an adaptive scene corrosion prevention scheme, calculates a grounding electrode replacement period according to a corrosion rate, constructs a dynamic association between a soil working condition and corrosion protection, and effectively improves the durability of a grounding grid.

The invention discloses a saline-alkali soil water-salt-fertilizer real-time monitoring system and method based on the Internet of Things, and relates to the technical field of saline-alkali soil monitoring. Multi-parameter sensor nodes are arranged in a preset area to collect soil salinity, moisture, conductivity, pH value and ground temperature information; acquiring a remote sensing image, terrain elevation and land utilization type data, and performing preprocessing and spatial registration; based on the spatial position relation, the hydrological connectivity and the irrigation and drainage structure, establishing a spatial graph structure required by graph neural network input; deploying a model on the constructed graph, and predicting the future salinity trend or saline-alkali risk grade of each monitoring unit; utilizing adjacent node features and an edge weight propagation mechanism to realize prediction extrapolation of a data sparse region; based on a prediction result and an agronomic rule, generating a multi-objective optimization regulation and control scheme through an evolutionary strategy algorithm; and displaying the prediction map, the risk map and the regulation and control suggestions, and triggering early warning and control linkage when the threshold value exceeds the limit.

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.

The application discloses a kind of saline-alkali resistant kandelia candel tree breeding soil salt content detection adjusting equipment, it is related to kandelia candel tree breeding technical field, it solves equipment when using, it cannot be automatically adjusted according to salt content, and when soil is watered to adjust salt content, it is usually watered to soil outside, moisture is difficult to soak to inner layer, leading to the adjustment of soil salt content has error, and device is difficult to use in combination, and the problem of large space occupation.A kind of saline-alkali resistant kandelia candel tree breeding soil salt content detection adjusting equipment, including breeding component, the rear side of the breeding component is equipped with adjusting component, the both sides of the adjusting component are respectively equipped with fresh water tank and salt water tank.The application is cooperated by flow pipe and mounting framework, so that water is directly discharged into the soil inside through the flow pipe, then sprayed outward through the spray head and enters the soil inside through the surface of the filter screen, so that the device can directly spray water inside the soil to prevent the situation that water does not penetrate into the soil inside.

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 belongs to the field of agricultural disaster early warning, and particularly relates to a rape freeze injury early warning system based on soil moisture content monitoring and video monitoring, which comprises a hardware module and a software module, the hardware module comprises a soil humidity sensor for measuring soil humidity, a plurality of temperature sensors for measuring temperature, a soil salinity sensor for measuring soil salinity, a wireless transmission module for transmitting data, a video monitoring module and a meteorological data acquisition module; according to the invention, early warning accuracy can be improved, real-time monitoring and feedback can be realized, economic loss can be reduced, and automation and intelligence degrees are high; by integrating multi-source information such as soil moisture content monitoring, video monitoring and meteorological data, the opportunity and range of freezing injury can be accurately predicted, and more efficient disaster early warning is provided.

The invention belongs to the technical field of camelina sativa planting, and particularly relates to a camelina sativa planting method suitable for being popularized in saline-alkali soil. The invention provides a planting method suitable for popularization of camelina sativa in saline-alkali soil. The planting method comprises the following steps: preparation before camelina sativa planting; seed variety selection; seed treatment: coating the camelina sativa seeds with a saline-alkaline tolerant rhizobium inoculant or a humate solution to obtain coated seeds; sowing the seeds; after sowing, cultivating to obtain camelina sativa plants. According to the planting method, the salt content of the surface layer of the soil can be remarkably reduced, the pH value of the soil is adjusted to be in the suitable range of 6.5-7.5, meanwhile, the germination rate, the seedling rate and the yield of the camelina sativa are increased, operation is easy and convenient, the cost is controllable, and the planting method is suitable for large-scale popularization in moderate and light saline-alkali areas and has wide application prospects. And a feasible technical scheme is provided for efficient utilization of saline-alkali land resources and regional expansion of the camelina sativa industry.

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.

The present invention discloses a rapid soil salinity measurement method, belonging to the field of soil measurement. The invention involves extracting the fractal dimension characteristics of cracks on the surface of viscous salinized soil using digital image processing. By establishing a mathematical quantitative relationship model between the fractal dimension and soil salinity, crack characteristic parameters extracted from photos of soil surface shrinkage cracking obtained through a standardized field process are incorporated into the prediction model, ultimately achieving rapid, efficient, and non-destructive online measurement of the salt content of cracked salinized soil. The present invention has the advantages of a simple measurement process, low cost, low loss, low cost, strong stability, and real-time and quasi-real-time performance.

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 invention discloses a soil quality monitoring system and method for citrus planting, and belongs to the technical field of soil quality monitoring, and the system comprises a soil salinity accumulation judgment module, a soil salinity accumulation adjustment module and a citrus absorption efficiency analysis module. By solving the problem of salt accumulation caused by continuous increase of soil conductivity and adjusting the problem of unbalanced citrus absorption efficiency caused by fluctuation of pH values of different plots, the quality and yield of the planted citrus are guaranteed, more efficient resource utilization is achieved, soil health is maintained, and the absorption efficiency of citrus root systems is improved.

This invention discloses a cow dung biochar composite material for saline-alkali land improvement, its preparation method, and its uses, belonging to the field of cow dung material processing technology. It includes the following steps: (1) air-drying cow dung, then performing oxygen-limited pyrolysis, cooling, and pulverizing to obtain raw cow dung biochar; (2) mixing the raw cow dung biochar with calcium nitrate solution and then stirring for modification; (3) after modification, drying and performing oxygen-limited pyrolysis, cooling, and pulverizing to obtain the cow dung biochar composite material. This invention uses widely available raw materials and an easy-to-operate method to produce a calcium nitrate-modified cow dung biochar composite material that can be widely promoted and is inexpensive, and the preparation process generates no pollutants. The prepared composite material can lower the pH of saline-alkali land, improve the physical and chemical properties of the soil, and reduce the sodium content in the soil. + It has a stronger adsorption capacity, reduces soil salinity, increases soil nitrate nitrogen content, promotes plant growth, and achieves the effect of recycling livestock waste.

The invention relates to the technical field of bacterial fertilizers, in particular to a composite microbial fertilizer and a preparation method thereof. The composite microbial fertilizer is prepared from the following raw materials in parts by mass: 100 to 200 parts of sterilized organic manure, 50 to 150 parts of urea, 10 to 50 parts of ammonium humate, 50 to 70 parts of crop straw, 30 to 50 parts of hydroxyapatite, 80 to 200 parts of composite bamboo charcoal powder, 1 to 10 parts of a composite microbial agent, 10 to 20 parts of chitosan, 1 to 3 parts of polyethylene glycol and 40 to 120 parts of calcium chloride. The soil conditioner disclosed by the invention is beneficial to reducing the accumulation of soil salinity, reducing the salinization degree, enhancing the water and fertilizer retention performance of the soil, creating a good condition for the growth of crop roots, improving the soil structure, increasing the water retention and the air permeability, improving the microbial diversity and the fertility of the soil, and remarkably improving the yield and the quality of crops.

The present application relates to the technical field of landscaping engineering, and relates to a multi-stage ecological self-repairing type saline-alkali land greening method, which comprises the following steps: spreading composite soil microcapsules containing a salt absorption agent, slow-release nutrient elements and an organic substrate on a soil surface layer and a 5-10 cm middle layer, laying a guest soil layer on the composite microcapsule layer, covering a layer of degradable biological membrane, and fixing the biological membrane with nails or stones; selecting a plurality of salt-tolerant plants to form a tree layer, a shrub layer and a ground cover layer, configuring a microbial suspension, uniformly spraying the microbial suspension on a plant rhizosphere area by using a spraying device, subsequently irrigating to help the microbial colonization, replacing plant species with different depth root systems every 2-3 years, and alternately planting shallow-rooted plants and deep-rooted plants to break the accumulation of salt in a specific area of soil. The present application realizes the gradual improvement of saline-alkali land through a multi-stage ecological repair system, can dynamically adapt to the change of soil salinity at different stages, and effectively alleviates the salt condensation problem.

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 invention provides an underground laying device for saline-alkali soil, and belongs to the technical field of saline-alkali soil treatment equipment.The technical scheme is that the underground laying device for the saline-alkali soil comprises a vehicle body, a frame is arranged outside the vehicle body, a supporting rod and an adjusting mechanism are arranged between the frame and the vehicle body, and one end of the supporting rod is hinged to the vehicle body; the other end of the supporting rod is hinged to the frame, the adjusting mechanism can adjust the inclination angle of the frame, the frame is provided with a cutting mechanism, the cutting mechanism can cut a soil layer and convey underground soil to the ground surface, the vehicle body is provided with a driving mechanism and a spreading mechanism, and the driving mechanism can provide power for the cutting mechanism. And the spreading mechanism can convey the barrier material into a cavity formed after the cutting mechanism discharges the soil. The device has the beneficial effects that a blocking layer can be laid to a deeper underground position, so that long-term effective blocking of soil salinity ascending is achieved, and the device has the remarkable advantages of being high in construction efficiency and lasting and stable in blocking effect.

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.