213 results about "Sodication" patented technology

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 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 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 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 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 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 belongs to the technical field of agricultural fertilizers, and particularly relates to a botanical fulvic acid fertilizer and a preparation method thereof, the technical scheme is that the botanical fulvic acid fertilizer comprises the following components: 35-40% of botanical fulvic acid, 6-8% of a humic acid-amino acid chelated microelement fertilizer, 4-5% of a compound microbial agent, 3-4% of a slow-release coating agent, and 22-25% of a modified charcoal carrier; the plant source fulvic acid purified by molasses fermentation can significantly enhance the nutrient chelating ability; the mobility of iron, zinc and other trace elements chelated by molasses amino acid and fulvic acid in soil is enhanced, and the crop absorption rate is increased; the straw carbon-vermiculite composite carrier adsorbs nutrients and slowly releases the nutrients, so that the potassium leaching loss is reduced by 40%, and the salinization risk is reduced; the straw carbon porous structure loads the microbial inoculum, the vermiculite supplements potassium and magnesium elements, and the survival rate of the microbial inoculum is increased after the microbial inoculum is stored for 6 months at normal temperature.

This invention relates to the field of plant genetic engineering technology, and more particularly to... SsNHX1 and SsSOS2 Dual-gene plant expression vector and its application in improving salt tolerance in alfalfa. The plant expression vector uses pCAMBIA1300 as its backbone and inserts genes derived from Suaeda salsa. SsNHX1 Genes and SsSOS2 It is constructed from genes. SsNHX1 Genes and SsSOS2 The CDS coding sequence of the gene is shown in SEQ ID NO:1 and SEQ ID NO:2 of the sequence listing. Using Agrobacterium tumefaciens EHA105-mediated transformation, the vector was introduced into the leaves of sterile alfalfa seedlings. Positive transgenic plants were obtained through co-culture, callus induction differentiation, and PCR identification. The advantage lies in the synergistic effect of the two genes, which effectively enhances the salt tolerance of alfalfa, enabling it to grow normally under 200–300 mM NaCl stress, providing a new solution for forage cultivation in saline soils.

The invention provides a saline-alkali soil conditioner as well as a preparation method and application thereof, and belongs to the technical field of soil improvement. The saline-alkali soil conditioner is prepared from the following raw material components in parts by mass: 80 to 90 parts of edible fungus residues, 10 to 20 parts of humic acid and 0.1 to 0.3 part of a microbial agent. The saline-alkali soil conditioner provided by the invention can obviously reduce the pH and total salt content of the surface layer of soil, obviously improve the content of nitrogen nutrients in the soil, optimize the distribution structure of the nitrogen nutrients and reduce the risk of nitrogen leaching loss. Meanwhile, the water and fertilizer retention capacity of soil can be improved, soil nutrients can be supplemented, the soil fertility can be improved, the harm of soil salinity to crops can be reduced, and the stress resistance and the yield of the crops can be improved. The soil conditioner for the saline-alkali land can solve the problems that at present, soil of salinized farmland in Hetao irrigation districts is prone to hardening, the soil fertility is low, the soil water and fertilizer utilization rate is low, and the crop biomass is low.

The invention relates to the technical field of soil element determination, in particular to a method for determining potassium, sodium, calcium and magnesium in soil soluble salt, which comprises the following steps: S1, collecting and preparing a soil sample; s2, preparing a soil sample leaching solution; s3, instrument detection; and S4, data processing and calculation. According to the method, vacuum freeze drying is combined with an ultrasonic-microwave combined extraction technology, and plasma spectrum and ion chromatography combined analysis is adopted, so that the detection efficiency and accuracy are improved, meanwhile, reagent consumption and labor cost are greatly reduced, the problems that a traditional process is tedious, consumed time is long, and precision is insufficient are solved, and the method is suitable for industrial production. The method has the advantages of being convenient to operate, environmentally friendly and the like, can be widely applied to the fields of soil salinization monitoring, agricultural land quality evaluation and geological disaster prevention and control, and provides reliable technical support for environmental protection and resource management.

The invention relates to the technical field of agricultural data visualization, in particular to a salinized cotton field visual multi-point salinity collection and analysis method and system.The method comprises the following steps that soil conductivity distribution data of a salinized cotton field area is obtained, a high-salinity accumulation area and a low-salinity dilution area are recognized, particle gap distribution characteristics are collected, and a salinized cotton field is obtained; and screening areas with loose or compact particle structures, executing temperature gradient analysis, screening surface thermal environment abnormal subareas, detecting wind speed distribution, removing wind field disturbance areas, and obtaining a recommended planting area list. According to the method, high and low salt areas are accurately identified through salt space distribution analysis, distribution precision is improved, humidity dynamic expression is refined, structural abnormal blocks are screened by using a particle gap change trend, soil management is optimized, surface temperature and wind speed data analysis is superposed, thermal disturbance and wind field abnormity are eliminated, and agricultural management precision is improved through multi-dimensional data fusion. The capability of coping with a complex environment is enhanced, efficient decision making is effectively supported, and the overall agricultural production benefit is improved.

The invention provides a water-soluble fertilizer and a compound fertilizer for promoting growth of oats in saline-alkali soil as well as a preparation method and application of the water-soluble fertilizer and the compound fertilizer, and belongs to the technical field of fertilizers and preparation thereof. The water-soluble fertilizer comprises the following components in parts by weight: 20-30 parts of urea, 25-35 parts of ammonium sulfate, 10-20 parts of ammonium polyphosphate, 40-50 parts of potassium sulfate and 5-15 parts of humic acid. The compound fertilizer comprises the water-soluble fertilizer and a seed embedding agent, the seed embedding medium is prepared from the following components in parts by weight: 0.5 to 1.5 parts of bacillus subtilis, 1 to 3 parts of plant lactobacillus, 3 to 5 parts of basophilic halomonas and 10 to 15 parts of kaolin. The components and contents of the water-soluble fertilizer meet the nutritional requirements of the oats in the growth and development period, and the growth of the oats in the saline-alkali soil is promoted. By adding the microbial agent, the pH and salt content of the saline-alkali soil are reduced, the salinization of the saline-alkali soil is improved, and the oat plant height, the overground plant quantity and the seed yield of the saline-alkali soil are obviously increased.

The invention belongs to the technical field of microorganisms, and particularly relates to a salt-alkali tolerant cladosporium sp. Ca38 and application thereof. The cladosporidium sp. Ca38 disclosed by the invention is preserved in the Guangdong Microbial Culture Collection Center on August 1, 2025, and the preservation number is GDMCC No: 66798. The cladosporidium sp. Ca38 disclosed by the invention has been preserved in the Guangdong Microbial Culture Collection Center on August 1, 2025. By inoculating cladosporium, wheat germination and growth can be effectively promoted, damage of salt stress to wheat can be relieved, the salt tolerance of plants is improved, and the key growth problem caused by soil salinization of wheat is solved. The method has a wide prospect in the cultivation application of wheat and other plants.

This application discloses a comprehensive treatment method for salinized soil in semi-arid region, comprises: stripping and collecting the topsoil; spreading sandy soil and / or loess soil as a imported soil layer; spreading an anti-seepage layer, a salt barrier layer and a membrane layer successively on the imported soil layer; mixing clay into the topsoil to obtain mixed soil; blending saline-alkali land conditioner with the mixed soil to obtain planted soil; spreading the planted soil on the membrane layer to obtain a planting layer. The method combines physical, hydraulic, chemical and biological remediation methods to comprehensively manage saline-alkali soil in semi-arid areas. It consumes less water resources, has a shorter treatment cycle, shows quick results, is conducive to plant growth, and can effectively inhibit the return of salt.

The invention relates to a rapid method for determining precise fertilization of cigars. Comprising the following steps: 1) collecting spectral data of a cigar canopy in a cigar field by using a portable hyperspectrometer, 2) detecting soil nutrient indexes such as soil available nitrogen, available phosphorus, available potassium and pH in situ in the field by using an electrochemical soil nutrient sensor to obtain real-time detection data of soil nutrients; 3) acquiring meteorological data of the target plot and growth period information of the cigars, wherein the growth period information is divided based on the number of days after the cigars are transplanted; 4) preprocessing and standardizing the canopy spectral parameters, the soil nutrient real-time detection data, the meteorological data and the growth period information to form multi-source fusion input feature data; 5) inputting the multi-source fusion input feature data into a fertilization decision model based on fuzzy logic, and outputting a fertilization formula and a fertilization amount of the cigar in the current growth period; and (6) executing corresponding fertilization operation according to the fertilization formula and the fertilization dosage, regularly repeating the steps (1)-(5) after fertilization, and carrying out rolling correction on a fertilization strategy to realize precise fertilization management of cigars. The fertilizer utilization rate can be remarkably increased, the soil salinization risk caused by excessive fertilization is reduced, the proportion of first-class tobacco is increased, the oil content and the chromaticity of the eggplant coating are improved, economic benefits and ecological benefits are both considered, and the laboratory detection cost and the labor cost are reduced.

The invention provides an earth surface embedded aeroponic culture system and application thereof in vegetable planting, and relates to the technical field of soilless culture. The earth surface embedded aeroponic culture system comprises a tank body part and a double-effect atomization system part, the tank body part is sequentially provided with an HDPE impermeable film, a basalt fiber layer and a composite phase change layer from outside to inside, a tank body cavity is formed in the space in the composite phase change layer, and the tank surface of the tank body is flush with the earth surface; and the double-effect atomization system part comprises a root system atomization pipeline and a canopy atomization pipeline. According to the invention, the HDPE impermeable membrane and the basalt fiber layer are compounded, soil-borne pathogens are physically isolated, double-closed-loop intelligent regulation and control of environmental conditions are realized through the temperature-controlled composite phase change layer and the double-effect atomization system, and the problems of salinization, large temperature difference, high incidence of diseases and the like are solved.

The invention provides a saline-alkali soil crop multi-water-source irrigation control method and system, and belongs to the technical field of agriculture, and the method comprises the steps: determining an irrigation water salinity target threshold value and a target total irrigation amount according to soil salinity data and crop physiological parameters; determining a water distribution strategy based on the salinity concentration data, wherein the water distribution strategy at least comprises irrigation priorities and collocation of different types of water sources; based on the target irrigation total amount, the irrigation water salinity target threshold value and the water distribution strategy, the target water taking amount of each type of water source is determined; and generating an irrigation control instruction according to the target water intake amount. According to soil salinity, crop types, crop physiological parameters and salinity concentration of multiple water sources, the irrigation water salinity target threshold value and the irrigation water total amount are dynamically and accurately determined; and meanwhile, a priority water distribution strategy is formulated, so that flexible allocation of irrigation among multiple water sources and fine management of the salinity concentration of crop irrigation water can be realized, and soil salinization and crop salinity stress are effectively avoided.

This application discloses the application of the MsDGK5 gene and its encoded protein in the salt tolerance of alfalfa plants, belonging to the field of plant genetic engineering technology. The nucleotide sequence of the alfalfa MsDGK5 gene provided in this application is shown in SEQ ID NO.1. This application constructed Arabidopsis and alfalfa transgenic plants overexpressing the MsDGK5 gene, and systematically measured the growth and development indicators and physiological and biochemical parameters of the plants under salt stress, confirming that overexpression of the MsDGK5 gene can significantly improve the salt tolerance of transgenic plants. Based on the above experimental results, this application clarifies for the first time the key regulatory role of the MsDGK5 gene in plant salt tolerance, providing important gene resources for the genetic improvement of crop salt tolerance, and also providing a new technical approach to address the increasingly serious problem of soil salinization.

The present invention discloses a strain of Streptomyces koyangensis, a microbial agent, its application, and a preparation method. This strain has excellent control effects against anthrax and rice blast, providing a new solution for the prevention and control of these diseases. Furthermore, this Streptomyces koyangensis is salt-alkali and heavy metal-tolerant, making it a potential strain for controlling plant diseases in saline-alkali land and heavy metal-contaminated soil environments. It has promising market application prospects for its application in cultivation in saline-alkali land, secondary salinization, and heavy metal-contaminated soil.

The present invention relates to the field of farmland ecological protection, and in particular to a system and method for optimizing the configuration of shelterbelts for salinized farmland. The system includes a salinization monitoring module, an edge computing module, a database, a three-dimensional model module, a model optimization module, and a configuration scheme optimization module. The salinization monitoring module collects data through an unmanned aerial vehicle and a hyperspectral imaging spectrometer to determine the soil salinity distribution status. The edge computing module receives the data and calculates a shelterbelt configuration model. The database stores the calculation model, soil salinity, and vegetation growth status data. The three-dimensional model module generates a three-dimensional spatiotemporal model of forest growth. The model optimization module uses deep reinforcement learning to optimize the soil salinity and groundwater level simulation model to improve the shelterbelt configuration effect. The configuration scheme optimization module generates an optimal shelterbelt configuration plan, accurately characterizes complex interaction processes, and provides an efficient and accurate technical means for the ecological protection of salinized farmland.

This invention discloses a method for soil salinity inversion based on the fusion of remote sensing features at multiple time scales, comprising the following steps: A1 field sampling and soil conductivity measurement; A2 remote sensing data preprocessing and spectral index calculation; A3 environmental covariate acquisition and preprocessing; A4 determination of the optimal time scale feature combination; A5 feature variable screening and optimization; A6 soil salinity inversion model construction; fusing remote sensing features at different time scales, and constructing a soil salinity remote sensing inversion model based on the optimal feature combination using a random forest algorithm. By systematically integrating the instantaneous response features of single-period images with the features of seasonal composite images, the information of remote sensing data at different time scales is fully exploited, solving the problems of single time scale of remote sensing features, insufficient information utilization, and difficulty in coordinating multi-scale features in traditional modeling processes. This improves the model's ability to characterize the spatial distribution of soil salinity and its prediction accuracy, providing more scientific and reliable technical support for remote sensing monitoring of salinized areas.

The invention discloses a method for improving the site condition of a low-efficiency forest, which comprises the following steps: accurately improving the site condition of the low-efficiency forest by improving the physical property of soil, the moisture condition of soil, the nutrient condition of soil, the chemical property of soil, the microclimate condition, the biological competition condition and the like. The problems of soil hardening, poor permeability, low water holding capacity, shallow and thin soil layer, excessive gravels and serious erosion are effectively solved; drought, water shortage, seasonal waterlogging and over-high or over-low underground water level; the soil is barren, lacks necessary nutrient elements such as nitrogen, phosphorus and potassium, and is low in organic matter content; soil is over-acid, over-alkali, salinization, heavy metal pollution and the like; extreme high temperature / low temperature, strong wind, frost and strong illumination; weeds, shrubs or non-target tree species fiercely compete with target tree species for illumination, moisture, nutrients and the like, and the site conditions of forest growth are remarkably improved, so that healthy growth of forests is promoted.