Improved planting method for mixed sowing grassland in saline-alkali soil

Abstract

The invention relates to the technical field of grassland planting, and discloses a saline-alkali soil mixed sowing grassland improved planting method, which comprises the following steps: collecting soil samples of different areas of saline-alkali soil, marking information, detecting indexes such as salinity and pH value, and removing abnormal data to obtain soil basic data; preparing a regulating embedding medium, and preparing a growth zone substrate; then delimiting leguminous and gramineous growth zones according to soil and terrains, filling a matrix, and mixing, sowing and compacting; then erecting an irrigation pipe, alternately irrigating fresh water and salt water, trickle-irrigating corresponding bacterial liquid, and preserving moisture to promote field planting; and finally, setting a mowing rotation rest period, regularly rechecking soil and grassland conditions, and adjusting parameter circulation until an improvement target is achieved. The improvement efficiency of the saline-alkali soil and the sustainability of mixed sowing grassland are greatly improved, and the improvement requirements of areas with different terrains and saline-alkali grades are met.

Description

Technical Field

[0001] This invention relates to the field of grassland planting technology, and more specifically, to a method for improving grassland by mixed sowing in saline-alkali land. Background Technology

[0002] Saline-alkali land, a widely distributed low-yield soil type, severely restricts regional ecological restoration and sustainable agricultural and pastoral development. Mixed-sowing grassland planting, due to its ability to leverage the synergistic effects of different crops, has become an important approach to saline-alkali land improvement. This technology, through the combined planting of legumes and grasses, can improve soil structure, enhance soil fertility, and strengthen grassland ecological stability, playing an irreplaceable role in saline-alkali land management.

[0003] However, traditional mixed-sowing grassland planting methods in saline-alkali land still have many problems that urgently need to be solved. On the one hand, the collection of basic soil data lacks a systematic approach, and precise testing of salinity and soil composition in different areas is not conducted, resulting in a lack of scientific basis for subsequent planting plans and difficulty in adapting to the differentiated needs of the soil. On the other hand, seed encapsulation agents and growing zone substrates are mostly mixed in a uniform ratio without being customized to the specific conditions of saline-alkali land, resulting in low seed survival rates and poor seedling resistance, which restricts the improvement effect.

[0004] Meanwhile, traditional irrigation methods rely heavily on single-mode freshwater flooding, which wastes water resources and easily leads to soil salinity reabsorption. Furthermore, the lack of targeted microbial growth-promoting technologies prevents the application of microbial agents based on plant type, hindering the full utilization of nitrogen-fixing and growth-promoting effects of rhizobia and growth-promoting bacteria. In addition, post-planting management is often extensive, lacking scientific planning for mowing and fallow periods, and failing to establish a real-time monitoring and feedback mechanism for soil indicators and grassland growth status. This makes it impossible to dynamically adjust planting parameters, resulting in low improvement efficiency, unstable effects, and difficulty in achieving long-term improvement of saline-alkali land.

[0005] Therefore, it is necessary to design a mixed-seeding grassland improvement method for saline-alkali land to solve the problems of inaccurate soil testing, lack of targeted planting plans, low resource utilization, imperfect management mechanism and unstable improvement effect in traditional technologies. Summary of the Invention

[0006] In view of this, the present invention proposes a method for improving saline-alkali land through mixed sowing of grassland, aiming to solve the problems of inaccurate soil testing, lack of targeted planting plans, low resource utilization, imperfect management mechanisms, and unstable improvement effects in traditional technologies. In one aspect, the present invention proposes a method for improving saline-alkali land through mixed sowing of grassland, comprising: Soil samples were collected from different areas of saline-alkali land at a set depth from the surface to the ground. The location and depth information of each sampling point were marked. The salt content, pH value, organic matter content, nitrogen, phosphorus and potassium content and soil particle composition of the soil samples were tested. After removing abnormal data, complete basic soil data was obtained. Legume seed embedding agents and grass seed embedding agents were prepared separately, and the legume seed embedding agents and grass seed embedding agents were adjusted to a preset viscosity; at the same time, legume growth zone substrates and grass growth zone substrates were prepared. Based on soil data and topography, parallel legume and grass growth zones were delineated using marking equipment and markers were placed. The matrix of the legume and grass growth zones was filled into the corresponding growth zones and the surfaces were leveled. Seeds were mixed with the corresponding encapsulating agent and sown in rows along the growth zones, controlling the sowing depth and amount. After sowing, a thin layer of soil was covered and compacted. Construct irrigation pipelines connecting freshwater and saline water sources, set up an irrigation cycle to alternately deliver freshwater and saline water, and irrigate the soil to the preset humidity; cultivate legume rhizobium and grass growth-promoting bacteria strains and dilute them to prepare bacterial solutions, use drip irrigation equipment to target and spray them onto the corresponding growth zones, record the inoculation time and maintain appropriate humidity to promote bacterial colonization. Set mowing and rest periods, and alternate mowing and rest operations for legume growth zones and grass growth zones; review soil indicators and grassland growth status through preset cycles, compare the review data with the initial data and preset improvement targets, and adjust the coating agent ratio, irrigation cycle and inoculation dosage parameters as needed, and repeat the cycle until the improvement target is achieved.

[0007] Furthermore, the collection of basic soil data includes: dividing the saline-alkali land into several sampling units according to topography, setting up evenly distributed sampling points in each sampling unit, and determining the uniform sampling depth from the surface to the ground for each sampling point; Soil samples were collected using a stratified sampling method, and then packaged and labeled according to sampling location and depth information to construct a soil sample library; Salt content and pH value were detected using a salt content analyzer and pH meter. Organic matter, nitrogen, phosphorus and potassium content were detected using the potassium dichromate titration method and Kjeldahl nitrogen determination method. Soil particle composition was detected by sieving method. The detection data is aggregated, and outlier data that deviates from the overall data distribution range is removed using an outlier removal algorithm.

[0008] Furthermore, the preparation process of the legume seed encapsulation agent and the grass seed encapsulation agent includes: determining starch, humus, phosphate rock powder, and rooting powder as the raw material group for the legume encapsulation agent, and cellulose, wood ash, potassium chloride, and silicon fertilizer as the raw material group for the grass encapsulation agent; The historical database of saline-alkali land improvement was retrieved, and the cosine similarity algorithm was used to calculate the compatibility coefficients between the two sets of raw materials and the historically successful encapsulating agent raw material sets. We screened raw material formulation schemes with compatibility coefficients that met preset compatibility standards and constructed a screening library of encapsulating agents for legumes and grasses. Based on the organic matter and salt content in the soil baseline data, the initial raw material ratio is matched from the screening ratio library.

[0009] Furthermore, when adjusting the legume seed embedding agent and the grass seed embedding agent to a suitable viscosity, the following steps are taken: pre-setting a first viscosity threshold range for the legume seed embedding agent and a second viscosity threshold range for the grass seed embedding agent; setting a first preset viscosity deviation level, a second preset viscosity deviation level, and a third preset viscosity deviation level; wherein the first preset viscosity deviation level is less than the second preset viscosity deviation level and less than the third preset viscosity deviation level. The current viscosity of the embedding agent is detected in real time using a rotational viscometer, and the viscosity deviation value between the current viscosity and the corresponding preset threshold range is obtained. The viscosity deviation value is compared with a preset viscosity deviation level, and the viscosity adjustment method is determined based on the comparison result. When the viscosity deviation value is within the first preset viscosity deviation level, adjust it by adding a small amount at a time. When the viscosity deviation value is within the second preset viscosity deviation level, adjust it by adding it in multiple quantitative increments, keeping the amount added each time, until the viscosity deviation value is within the first preset viscosity deviation level, then adjust it again by adding it in small amounts at once; When the viscosity deviation value is within the third preset viscosity deviation level, first check the uniformity of the raw material mixing, re-stir and test the viscosity, and then add raw materials or water in a decreasing manner to adjust it. During viscosity adjustment, if the current viscosity is already within the preset threshold range, the adjustment operation is stopped; if the adjusted viscosity exceeds another threshold boundary, the adjustment steps are repeated according to the corresponding deviation level until the viscosity stabilizes within the preset threshold range.

[0010] Furthermore, the delineation of growth zones includes: dividing the soil into high, medium, and low salinity zones based on basic soil data; setting up legume growth zones in medium and low salinity zones; and setting up grass growth zones in high salinity zones. The direction of growth zone extension is determined by combining the terrain slope; for gentle terrain, it is delineated along the horizontal direction, and for terrain with a larger slope, it is delineated along the contour line direction. Set appropriate widths for legume growth zones, grass growth zones, and spacing between adjacent growth zones, and use laser marking equipment to draw lines and insert colored markers.

[0011] Furthermore, when filling the corresponding growth zone substrates into the corresponding growth zones and smoothing the surface, the process includes: mixing the substrate materials according to the appropriate volume ratio; for the legume growth zone substrate, the ratio of decomposed straw, river sand, and decomposed sheep manure is mixed; for the grass growth zone substrate, the ratio of decomposed sawdust, perlite, and decomposed cow manure is mixed. Fill the corresponding growth zone with the well-mixed matrix, control the filling thickness, compact in layers, and control the compaction thickness of each layer and the overall compaction degree; A laser leveling machine is used to treat the substrate surface so that the soil surface flatness meets the preset standard, and the surface is an arc shape with a high center and low sides, and the height difference of the arc is controlled within the preset height difference range.

[0012] Furthermore, when controlling the sowing depth and sowing amount, the following are included: based on the characteristics of legume seeds and grass seeds, a first preset sowing depth level, a second preset sowing depth level, and a third preset sowing depth level are preset, with the first preset sowing depth level being less than the second preset sowing depth level and less than the third preset sowing depth level; a first preset sowing amount level, a second preset sowing amount level, and a third preset sowing amount level are preset, with the first preset sowing amount level being less than the second preset sowing amount level and less than the third preset sowing amount level; and a first preset compaction intensity level and a second preset compaction intensity level are preset, with the first preset compaction intensity level being less than the second preset compaction intensity level. Based on the soil particle composition and substrate looseness data, the appropriate sowing depth and sowing rate are matched to the seeds: When the soil particles are fine and the substrate is loose, select the first preset seeding depth level and the first preset seeding amount level; When the soil particles are of moderate size and the substrate is of moderate looseness, select the second preset seeding depth level and the second preset seeding amount level. When the soil particles are coarse and the substrate is loose, select the third preset seeding depth level and the third preset seeding amount level. When either soil particle size or substrate looseness reaches a higher preset level, directly select the higher preset sowing depth level and preset sowing amount level. The seeder travels at a constant speed along the growth zone markings, and the speed of the seeder's seed metering device is linked and matched with the travel speed. After sowing, cover with fine soil of appropriate thickness, and match the compaction strength level according to the sowing depth level. The first and second preset sowing depth levels correspond to the first preset compaction strength level, and the third preset sowing depth level corresponds to the second preset compaction strength level. Rubber compaction wheels are used to perform compaction operations. When the planting area has undulating terrain, the planting level is re-matched and the planting parameters are adjusted to maintain planting consistency.

[0013] Furthermore, when alternately supplying fresh water and salt water, the method includes: presetting a first preset immersion cycle level, a second preset immersion cycle level, and a third preset immersion cycle level, wherein the first preset immersion cycle level is less than the second preset immersion cycle level and the third preset immersion cycle level; setting a first preset salinity content adaptation level and a second preset salinity content adaptation level, wherein the first preset salinity content adaptation level is less than the second preset salinity content adaptation level; and setting a first humidity control range and a second humidity control range, wherein the first humidity control range is less than the second humidity control range. Based on the initial salinity content in the soil baseline data, the corresponding infiltration cycle level and salinity content matching level are matched: When the initial soil salinity is at level one, select the first preset infiltration cycle level and the first preset salinity content matching level. When the initial soil salinity is at level two, select the second preset infiltration cycle level and the first preset salinity content matching level. When the initial soil salinity is divided into three levels, the third preset infiltration cycle level and the second preset salinity content matching level are selected, wherein the first level of salinity is less than the second level of salinity, which is less than the third level of salinity. The target humidity is set as the humidity control range corresponding to the field water holding capacity, the first soil salinity corresponds to the first humidity control range, and the second and third soil salinity correspond to the second humidity control range. A smart irrigation control system is set up to automatically open the corresponding water source valve when the humidity is below the lower limit of the range and automatically close it when it is above the upper limit of the range. Regularly monitor changes in soil salinity. When the salinity level drops to the preset standard, adjust the infiltration cycle level accordingly to ensure that irrigation uniformity meets the preset standard.

[0014] Furthermore, when using drip irrigation equipment to target and spray the corresponding growth zone, the method includes: presetting a first preset bacterial solution concentration level and a second preset bacterial solution concentration level, wherein the first preset bacterial solution concentration level is lower than the second preset bacterial solution concentration level; setting a first preset spraying amount level and a second preset spraying amount level, wherein the first preset spraying amount level is lower than the second preset spraying amount level; and setting a first moisturizing cycle level and a second moisturizing cycle level, wherein the first moisturizing cycle level is lower than the second moisturizing cycle level. Match the bacterial solution concentration and spraying rate according to the soil organic matter content and growth zone type: When the soil organic matter content in the legume growing zone is higher than the standard content, select the first preset bacterial solution concentration level and the first preset spraying amount level. When the soil organic matter content in the legume growing zone is lower than the standard content, select the second preset bacterial solution concentration level and the second preset spraying amount level. When the soil organic matter content in the grass growth zone is higher than the standard content, select the first preset bacterial solution concentration level and the second preset spraying amount level; When the soil organic matter content in the grass growth zone is lower than the standard content, select the second preset bacterial solution concentration level and the first preset spraying amount level. Control the drip irrigation equipment to perform spraying operations according to the matching spraying volume level. The spraying time is sorted by priority, with cloudy days as the first priority and periods of gentle light as the second priority, to avoid direct sunlight that may cause the inactivation of the inoculum. After inoculation, maintain soil moisture according to the matching moisture retention cycle level. The first preset bacterial solution concentration level corresponds to the first moisture retention cycle level, and the second preset bacterial solution concentration level corresponds to the second moisture retention cycle level.

[0015] Furthermore, the cyclical maintenance and parameter optimization include: pre-setting a first preset deviation level, a second preset deviation level, and a third preset deviation level, wherein the first preset deviation level is less than the second preset deviation level and less than the third preset deviation level; setting a first adjustment coefficient, a second adjustment coefficient, and a third adjustment coefficient, wherein the first adjustment coefficient is less than the second adjustment coefficient and less than the third adjustment coefficient; and setting a first review cycle, a second review cycle, and a third review cycle, wherein the first review cycle is less than the second review cycle and less than the third review cycle. Calculate the deviations of soil salinity and pH from the preset improvement targets, as well as the differences of grassland cover and biomass from the preset growth targets, and match the corresponding deviation levels according to the magnitude of the values: When the soil composition deviation value and the difference value are within the first deviation value range, the first preset deviation level is matched, corresponding to the first adjustment coefficient and the first review cycle; When the soil composition deviation value and the difference value are within the second deviation value range, the second preset deviation level is matched, corresponding to the second adjustment coefficient and the second review cycle; When the soil composition deviation value and difference value are in the third deviation value range, the third preset deviation level is matched, corresponding to the third adjustment coefficient and the third review cycle, wherein the first deviation value range is smaller than the second deviation value range and the third deviation value range. Adjust planting parameters according to the matching adjustment coefficients. The first preset deviation level adjusts the irrigation cycle, the second preset deviation level adjusts the irrigation cycle and the ratio of the embedding agent, and the third preset deviation level comprehensively adjusts the ratio of the embedding agent, the irrigation cycle, the seeding amount and the inoculation dosage of the growth-promoting bacteria. After adjustment, a follow-up review should be conducted according to the corresponding review cycle, and the comparison and adjustment steps should be repeated. Once all indicators reach the preset improvement targets, the first review cycle is selected for continuous monitoring until the indicators have been running stably for more than the set time, thus completing the improvement process; if the indicators fluctuate during the stable period, the deviation level is rematched and adjustments are made.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. By collecting soil samples in different zones and layers and testing multi-dimensional indicators, and by removing outlier data, accurate and complete basic soil data is obtained, providing a scientific basis for the formulation of subsequent planting plans and completely solving the problem of lack of data support for improvement plans; 2. Customized preparation of encapsulating agents and growth zone substrates specifically for legumes and grasses, with initial ratios matched based on soil data, significantly improves seed survival rate and seedling resistance, solving the problem of insufficient seed growth adaptability in traditional planting; 3. Constructing a freshwater-saltwater alternating irrigation system, combined with drip irrigation equipment for targeted spraying of special bacterial solution, not only saves precious freshwater resources but also improves the efficiency of bacterial colonization, solving the problems of low resource utilization and poor microbial growth promotion effect; 4. By setting up a scientific mowing and rest cycle and establishing a dynamic feedback system for regular review of soil and grassland conditions, planting parameters can be adjusted in real time, solving the problem of fixed parameters and inability to optimize them in a timely manner during the improvement process. Attached Figure Description

[0017] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1 A flowchart illustrating the method for improving saline-alkali land through mixed sowing of grassland, as provided in an embodiment of the present invention. Detailed Implementation

[0018] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the disclosure to those skilled in the art. It should be noted that, unless otherwise specified, embodiments and features in the embodiments of the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0019] Reference Figure 1 In some embodiments of this application, the present invention proposes a method for improving saline-alkali land through mixed sowing of grassland, comprising the following steps: Step S100: Collect soil samples from different areas of saline-alkali land from the surface to a set depth underground, mark the location and depth information of each sampling point, detect the salt content, pH value, organic matter content, nitrogen, phosphorus and potassium content and soil particle composition of the soil samples, and obtain complete basic soil data after removing abnormal data. Step S200: Prepare legume seed embedding agents and grass seed embedding agents respectively, and adjust the legume seed embedding agents and grass seed embedding agents to a preset viscosity; at the same time, prepare legume growth zone substrate and grass growth zone substrate; Step S300: Based on the soil data and topography, use marking equipment to delineate parallel legume growth zones and grass growth zones and insert markers. Fill the corresponding growth zones with the matrix of the legume growth zone and the matrix of the grass growth zone and level the surface. Mix the seeds with the corresponding embedding agent and sow them in rows along the growth zones, controlling the sowing depth and sowing amount. After sowing, cover with a thin layer of soil and compact it. Step S400: Construct irrigation pipes connecting freshwater and saline water sources, set an immersion cycle to alternately deliver freshwater and saline water, and immerse the soil to the preset humidity; cultivate legume rhizobium and grass growth-promoting bacteria strains and dilute them to prepare bacterial solutions, use drip irrigation equipment to target and spray them onto the corresponding growth zones, record the inoculation time and maintain appropriate humidity to promote bacterial colonization. Step S500: Set the mowing cycle and rest period, and perform mowing and rest operations alternately for the legume growth zone and the grass growth zone; review soil indicators and grassland growth status through preset cycles, compare the review data with the initial data and preset improvement targets, and adjust the embedding agent ratio, irrigation cycle and inoculation dosage parameters as needed, and repeat the cycle until the improvement target is achieved.

[0020] The above embodiments, by collecting soil samples in different zones and layers and detecting multi-dimensional indicators, combined with the elimination of abnormal data, obtain accurate and complete basic soil data, providing a scientific basis for the subsequent planting plan formulation, and completely solving the drawback of lack of data support for improvement plans; customized preparation of special embedding agents and growth zone substrates for legumes and grasses, and matching the initial ratio according to soil data, significantly improves seed survival rate and seedling resistance, solving the problem of insufficient seed growth adaptability in traditional planting; the construction of a freshwater and saline water alternating irrigation system, combined with drip irrigation equipment for targeted spraying of special bacterial solutions, not only saves valuable freshwater resources, but also improves the efficiency of bacterial agent colonization, solving the problems of low resource utilization and poor microbial growth promotion effect; the establishment of a scientific mowing and rest cycle, and the establishment of a dynamic feedback system for regular review of soil and grassland conditions, can adjust planting parameters in real time, solving the problem of fixed parameters and inability to optimize in a timely manner during the improvement process.

[0021] In a specific embodiment of this application, the above steps are implemented as follows: A moderately saline-alkali land area of ​​approximately 500 mu (about 33 hectares) in the North China Plain, encompassing gentle depressions, gentle slopes, and low hills, is selected as the land to be improved. The land is divided into three sampling units according to the terrain. Each unit has eight sampling points set up in a 50m × 50m grid. Soil samples are collected uniformly from the surface to a depth of 30cm, and then sampled in three layers: 0-10cm, 10-20cm, and 20-30cm. A soil sample library containing 72 samples is constructed. Corresponding instruments and methods are used to detect indicators such as salt content. Three abnormal samples are removed using the Grubbs criterion (α=0.05). The final sample yields an average salt content of 0.6%, a pH value of 8.8, and an organic matter content of... Complete soil baseline data of 0.8% were collected; raw material groups for legume and grass seed embedding agents were constructed according to specific baseline ratios; 120 historical successful cases were retrieved, and 30 schemes with a compatibility coefficient ≥0.85 were selected to construct a formula library; based on soil data, the humus content of the legume embedding agent was increased by 5%, and the wood ash content of the grass embedding agent was increased by 8%, and they were adjusted to the preset viscosity of 250 mPa·s and 350 mPa·s, respectively. At the same time, the legume and grass growth zone substrates were prepared by mixing them according to the corresponding volume ratios and stirring for 15 minutes in a biaxial mixer to ensure uniformity; the steps were to divide the salinity into high, medium, and low salinity zones, with legume growth zones set up in the medium and low salinity zones and grass growth zones set up in the high salinity zones, and the flat areas were to be laid out along the horizontal direction and shallow In the hilly area, growth zones were delineated along contour lines, with legumes at 2m wide and grasses at 1.5m wide, spaced 0.5m apart. These zones were marked with a laser line marker and marked with red and blue PVC stakes. A 10cm thick substrate was filled and compacted in layers to 65% compaction. A laser leveling machine was used to create a 3-5cm arc-shaped height difference on the surface. Alfalfa and sheepgrass seeds were mixed with their respective embedding agents and sown in rows, controlling the sowing depth and quantity. After covering with 0.5cm of fine soil, the surface was compacted with a rubber roller. In undulating areas, the sowing depth was adjusted to 3cm. A PE irrigation pipeline was constructed connecting the freshwater reservoir and the saline water storage tank. The second immersion cycle level (5 days / cycle) was selected, alternating between freshwater for the first 3 days and saline water for the last 2 days. For irrigation, maintain soil moisture at 60%-70% using an intelligent control system. Cultivate alfalfa rhizobia and Bacillus and dilute them to the corresponding concentrations. Use a maze-type drip irrigation tape for targeted spraying at 20L / acre and 25L / acre, prioritizing cloudy days or early mornings. Maintain 65% humidity for 7 days after inoculation to promote planting. Set a 2-month mowing cycle and a 1-month rest cycle. The initial mowing height is 5cm. Check soil and grassland indicators monthly. The preset improvement targets are salt content ≤0.3% and pH value 6.5-7.5, etc. Adjust the coefficient according to the deviation value. For example, shorten the soaking cycle by 1 day for the first check. Increase the legume embedding rooting powder by 2% for the third check. After the indicators reach the target, monitor for 3 months at 15-day cycles. Complete the improvement after stabilization.

[0022] The above scenarios are merely preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

[0023] Specifically, the collection of basic soil data includes: dividing the saline-alkali land into several sampling units according to the topography, setting up evenly distributed sampling points in each sampling unit, and determining the uniform sampling depth from the surface to the ground for each sampling point; Soil samples were collected using a stratified sampling method, and then packaged and labeled according to sampling location and depth information to construct a soil sample library; Salt content and pH value were detected using a salt content analyzer and pH meter. Organic matter, nitrogen, phosphorus and potassium content were detected using the potassium dichromate titration method and Kjeldahl nitrogen determination method. Soil particle composition was detected by sieving method. The detection data is aggregated, and outlier data that deviates from the overall data distribution range is removed using an outlier removal algorithm.

[0024] Specifically, the saline-alkali land was divided into several sampling units based on topography, soil texture differences, and current vegetation cover. Unit boundaries were precisely marked using GPS. Within each unit, sampling points were evenly distributed using a grid method, with the density of sampling points at the edges appropriately increased to eliminate boundary effects. Simultaneously, the uniform sampling depth from the surface to the subsurface was determined based on the salt leaching patterns of the saline-alkali land, taking into account the soil conditions of both the topsoil and salt-rich layers. Stainless steel soil samplers were used to collect soil samples using a stratified sampling method, avoiding cross-contamination of the samplers during the sampling process. The sample size for each soil layer was controlled at 200-300g. Each sample was uniquely coded according to its sampling location, soil depth, and sampling order, and then packaged in sterile sealed bags. The bags were clearly labeled with the code, sampling date, and weather conditions, constructing a well-organized soil sample library. The sample library was stored in a constant temperature and light-protected environment at 4℃ to prevent changes in soil composition. A salinity analyzer calibrated with standard solutions was used to detect salinity. pH measurements were performed separately for soil and distillate samples. Soil suspensions were prepared using a 1:2.5 water volume ratio and allowed to stand for 30 minutes before measurement. A blank control group was simultaneously set up to eliminate errors when using the potassium dichromate volumetric method to detect organic matter. Nitrogen, phosphorus, and potassium contents were determined using the Kjeldahl method, molybdenum-antimony colorimetric method, and flame photometry, respectively. Each testing step strictly followed national standard operating procedures. A standard sieve group with pore sizes of 2mm, 1mm, 0.5mm, 0.25mm, and 0.075mm was used for sieving, with a vibration sieving time of no less than 10 minutes to accurately detect the soil particle composition and record the proportion of each particle size. All test data were compiled to form a raw dataset. The data were first tested for normality. An appropriate outlier removal algorithm was selected based on the data distribution characteristics: Grubbs' criterion was used for normally distributed data, and Dixon's test was used for skewed distributed data. Outliers deviating from the overall data distribution range were removed. After removal, an outlier processing report was generated, detailing the removed data number, value, and removal basis. Finally, complete and reliable basic soil data were obtained.

[0025] Understandably, by dividing sampling units according to topography and evenly distributing sampling points, combined with a uniform sampling depth, the comprehensiveness and representativeness of the sampling were ensured. Layered sampling, standardized packaging and labeling, and the construction of a soil sample library avoided sample confusion and compositional deterioration. The use of professional instruments and standard testing methods ensured the accuracy of multi-dimensional index testing such as salinity and pH value. Outlier removal algorithms removed invalid data and ensured the integrity and reliability of the data. This provided accurate, comprehensive, and reliable data support for the scientific formulation of subsequent mixed-sowing grassland improvement planting schemes in saline-alkali land, effectively avoiding the problem of poor adaptability of planting schemes due to inaccurate soil data.

[0026] Specifically, the preparation process of the legume seed encapsulation agent and the grass seed encapsulation agent includes: determining starch, humus, phosphate rock powder, and rooting powder as the raw material group for the legume encapsulation agent, and cellulose, wood ash, potassium chloride, and silicon fertilizer as the raw material group for the grass seed encapsulation agent. The historical database of saline-alkali land improvement was retrieved, and the cosine similarity algorithm was used to calculate the compatibility coefficients between the two sets of raw materials and the historically successful encapsulating agent raw material sets. We screened raw material formulation schemes with compatibility coefficients that met preset compatibility standards and constructed a screening library of encapsulating agents for legumes and grasses. Based on the organic matter and salt content in the soil baseline data, the initial raw material ratio is matched from the screening ratio library.

[0027] Specifically, the following raw material groups were identified for legume encapsulation agents: starch with strong binding properties and biodegradability; humus that combines fertilizer retention and soil improvement; phosphate rock powder that provides phosphorus; and rooting powder that promotes seed and root germination. For gramineous encapsulation agents, the following raw material groups were identified: cellulose that enhances the structural stability of the encapsulation agent; wood ash that regulates soil pH; potassium chloride that supplements potassium; and silicon fertilizer that enhances the stress resistance of gramineous plants. A historical database of saline-alkali land improvement, covering different salinity levels, climate types, and soil textures, was retrieved. This database contains complete data on raw material ratios, soil conditions in application areas, and feedback on improvement effects from historical successful cases. Using the proportion of each raw material as a feature vector, a cosine similarity algorithm was used to calculate the compatibility coefficients between the two raw material groups in this application and the raw material groups of historically successful encapsulation agents, precisely quantifying the compatibility. The compatibility of raw material groups is assessed. Pre-defined compatibility standards are established based on the error tolerance of the encapsulation application scenario and the raw material cost control target. Raw material ratio schemes with compatibility coefficients meeting these standards are screened. The applicable salinity threshold and plant growth adaptation stage of each scheme are also marked. A clearly categorized and traceable screening ratio library for legume and grass encapsulation agents is constructed. Based on the specific detection values ​​of organic matter content and salt content in the soil baseline data, corresponding association rules are established between these two values ​​and the schemes in the ratio library. When the organic matter content is lower than the preset benchmark value, schemes with a high proportion of humus or decomposed raw materials are prioritized. When the salt content is higher than the preset benchmark value, schemes with an optimized proportion of salt-tolerant raw materials are prioritized. Simultaneously, the local availability of raw materials is considered. The initial raw material ratio suitable for the current saline-alkali soil conditions is accurately matched from the screening ratio library.

[0028] Understandably, by identifying specific raw material groups for legume and grass seed encapsulation agents, the nutritional supply and stress resistance requirements of these two plant species can be precisely matched. By accessing historical databases and using cosine similarity algorithms to calculate the compatibility coefficient, scientific data support is provided for raw material ratios. Screening suitable solutions and building a dedicated ratio library enriches the alternative options and improves the efficiency of ratio screening. Furthermore, by combining the organic matter content and salinity content in basic soil data to accurately match the initial raw material ratios, the problem of blind ratio matching in traditional encapsulation agents is effectively avoided. This significantly improves the adaptability of encapsulation agents to specific saline-alkali soil conditions, thereby promoting seed germination, enhancing seedling stress resistance, and laying a solid foundation for subsequent planting of mixed-sowing grasslands in saline-alkali land.

[0029] Specifically, when adjusting the legume seed embedding agent and the grass seed embedding agent to a suitable viscosity, the following steps are included: pre-setting a first viscosity threshold range for the legume seed embedding agent and a second viscosity threshold range for the grass seed embedding agent; setting a first preset viscosity deviation level, a second preset viscosity deviation level, and a third preset viscosity deviation level; and the first preset viscosity deviation level is less than the second preset viscosity deviation level and less than the third preset viscosity deviation level. The current viscosity of the embedding agent is detected in real time using a rotational viscometer, and the viscosity deviation value between the current viscosity and the corresponding preset threshold range is obtained. The viscosity deviation value is compared with a preset viscosity deviation level, and the viscosity adjustment method is determined based on the comparison result. When the viscosity deviation value is within the first preset viscosity deviation level, adjust it by adding a small amount at a time. When the viscosity deviation value is within the second preset viscosity deviation level, adjust it by adding it in multiple quantitative increments, keeping the amount added each time, until the viscosity deviation value is within the first preset viscosity deviation level, then adjust it again by adding it in small amounts at once; When the viscosity deviation value is within the third preset viscosity deviation level, first check the uniformity of the raw material mixing, re-stir and test the viscosity, and then add raw materials or water in a decreasing manner to adjust it. During viscosity adjustment, if the current viscosity is already within the preset threshold range, the adjustment operation is stopped; if the adjusted viscosity exceeds another threshold boundary, the adjustment steps are repeated according to the corresponding deviation level until the viscosity stabilizes within the preset threshold range.

[0030] Specifically, the first viscosity threshold range for the legume seed encapsulation agent is preset to 200-300 mPa·s, and the second viscosity threshold range for the grass seed encapsulation agent is preset to 300-400 mPa·s. A first preset viscosity deviation level is set to ±10 mPa·s, a second preset viscosity deviation level to ±10-30 mPa·s, and a third preset viscosity deviation level to >±30 mPa·s. Furthermore, the first preset viscosity deviation level is less than the second preset viscosity deviation level, which is less than the third preset viscosity deviation level. A preset viscosity deviation level is established. An NDJ-8S rotational viscometer is used to monitor the current viscosity of the embedding agent in real time at a constant temperature of 25°C, with a monitoring frequency of once every 30 seconds. The viscosity deviation value between the current viscosity and the corresponding preset threshold range is accurately obtained. This viscosity deviation value is compared with the preset viscosity deviation level, and the viscosity adjustment method is determined based on the comparison result: when the viscosity deviation value belongs to the first preset viscosity deviation level, adjustment is made by adding small amounts of deionized water at a time. Alternatively, add 1-2 mL of the core ingredient, stir for 30 seconds, and then test. When the viscosity deviation value falls within the second preset viscosity deviation level, adjust by adding the ingredient in multiple quantitative increments, keeping the amount added consistent at 5 mL each time. Stir for 1 minute after each addition and then test, until the viscosity deviation value falls within the first preset viscosity deviation level. Then, fine-tune the viscosity by adding small amounts at a time. When the viscosity deviation value falls within the third preset viscosity deviation level, first check the uniformity of the ingredient mixture. Use a high-speed stirrer at 800 r / min to stir again for 5 minutes and then test the viscosity. Then, add the ingredient or water in increments, starting with 10 mL and decreasing by 2 mL each time. Stir for 2 minutes after each addition and then test. During viscosity adjustment, if the current viscosity is already within the preset threshold range, stop the adjustment operation immediately. If the adjusted viscosity exceeds another threshold boundary, repeat the adjustment steps according to the corresponding deviation level until the viscosity test results are consistently within the preset threshold range for three consecutive times.

[0031] Understandably, by presetting specific viscosity threshold ranges and three-level gradient deviation grades for legume and grass encapsulation agents, and combining this with real-time detection using a rotational viscometer to obtain precise deviation values, and then employing differentiated adjustment methods according to deviation grades, the problem of over- or under-adjustment of viscosity is avoided through refined operations such as adding small amounts at once, adding quantitatively in multiple batches, and adding in progressively decreasing batches. Furthermore, dynamic verification and correction ensure that the viscosity remains stable within the preset range, effectively guaranteeing the stability and permeability of the encapsulation agent for seeds. This provides a suitable microenvironment for seed germination and early seedling growth in saline-alkali soil environments, while also improving the uniformity of subsequent application of the encapsulation agent, thus contributing to the improvement of planting effects in mixed-sowing grasslands in saline-alkali soils.

[0032] Specifically, the delineation of growth zones includes: dividing the soil into high, medium, and low salinity zones based on basic soil data; setting up legume growth zones in medium and low salinity zones; and setting up grass growth zones in high salinity zones. The direction of growth zone extension is determined by combining the terrain slope; for gentle terrain, it is delineated along the horizontal direction, and for terrain with a larger slope, it is delineated along the contour line direction. Set appropriate widths for legume growth zones, grass growth zones, and spacing between adjacent growth zones, and use laser marking equipment to draw lines and insert colored markers.

[0033] Specifically, when filling the growth zone substrate into the corresponding growth zone and leveling the surface, the following steps are taken: mixing the substrate materials according to the appropriate volume ratio; for the legume growth zone substrate, the proportion of decomposed straw, river sand and decomposed sheep manure is mixed; for the grass growth zone substrate, the proportion of decomposed sawdust, perlite and decomposed cow manure is mixed. Fill the corresponding growth zone with the well-mixed matrix, control the filling thickness, compact in layers, and control the compaction thickness of each layer and the overall compaction degree; A laser leveling machine is used to treat the substrate surface so that the soil surface flatness meets the preset standard, and the surface is an arc shape with a high center and low sides, and the height difference of the arc is controlled within the preset height difference range.

[0034] Specifically, based on the salinity and pH values ​​in the soil baseline data, high, medium, and low salinity zones were delineated. Using 0.6% and 0.3% salinity as boundaries, and combining this with a pH threshold of 8.5, legume growth zones were established in the medium-low salinity zones, while grass growth zones were established in the high salinity zones. The layout of growth zones was also optimized by considering differences in groundwater depth within the region. The direction of growth zone extension was determined by the terrain slope. Slopes ≤5° were defined as gentle terrain, and growth zones were established horizontally to facilitate field irrigation and management. Slopes >5° were defined as steeper terrain, and growth zones were established horizontally. Elevation lines were demarcated to reduce soil erosion and salt runoff. Based on plant growth space requirements, reserved field access routes, and the synergistic effect of mixed sowing, appropriate widths for legume and grass growth zones, as well as the spacing between adjacent growth zones, were determined. The widths and spacing were set to minimize the need for mechanical operation. High-precision laser marking equipment was used for marking, with the marking error controlled within ±2cm. Different colored, numbered PVC markers were inserted to clearly distinguish the growth zone types and boundaries. The substrate for each growth zone was then filled into the corresponding growth zone and leveled. On the surface, the process includes: determining the appropriate volume ratio of mixed substrate materials based on the soil particle composition and aeration / water permeability requirements from the soil baseline data; mixing the substrate for the legume growth zone with a suitable volume ratio of decomposed straw, river sand, and decomposed sheep manure; and mixing the substrate for the grass growth zone with a suitable volume ratio of decomposed sawdust, perlite, and decomposed cow manure. The mixing process uses a twin-shaft mixer to ensure uniform mixing and avoid localized nutrient imbalances. The uniformly mixed substrate is then filled into the corresponding growth zones, with the volume ratio of legumes and grasses controlled according to the thickness of the saline-alkali soil layer and the desired improvement requirements. The thickness of the growing zone is determined by layered compaction, with 2-3 layers for each compaction level. The thickness of each layer is clearly defined, and the overall compaction degree is controlled within the range of 60%-70%, ensuring both substrate stability and not affecting seed root extension. A laser leveling machine is used to treat the substrate surface, with a preset standard of surface flatness error ≤3cm. After treatment, the surface is an arc shape with a high center and low sides. This arc design promotes rapid drainage of rainwater. The height difference of the arc is controlled within the preset range of 2-5cm to avoid water accumulation and localized soil salt accumulation.

[0035] Understandably, by precisely dividing the soil into appropriate legume and grass growth zones based on soil salinity levels, determining the reasonable direction of growth zone extension in conjunction with terrain slope, and using laser markings and colored markers to clearly define boundaries, this approach effectively adapts to the salt tolerance characteristics of different plants and terrain conditions, reducing soil erosion and localized salt accumulation, while also facilitating field management. The substrate filling and leveling operations of the growth zones utilize customized mixed substrate materials, layered compaction to control thickness and compaction, and then laser leveling to create a compliant and curved surface. This optimizes soil aeration and fertilizer retention, provides a suitable microenvironment for seed germination, and avoids salt retention caused by waterlogging. These two aspects synergistically enhance the targeted and standardized planting of mixed-sowing grasslands in saline-alkali land, laying a solid foundation for subsequent sowing, irrigation, and plant growth, and contributing to improved improvement results.

[0036] Specifically, controlling the sowing depth and sowing amount includes: pre-setting a first preset sowing depth level, a second preset sowing depth level, and a third preset sowing depth level based on the characteristics of legume seeds and grass seeds, wherein the first preset sowing depth level is less than the second preset sowing depth level and the third preset sowing depth level; pre-setting a first preset sowing amount level, a second preset sowing amount level, and a third preset sowing amount level, wherein the first preset sowing amount level is less than the second preset sowing amount level and the third preset sowing amount level; and pre-setting a first preset compaction intensity level and a second preset compaction intensity level, wherein the first preset compaction intensity level is less than the second preset compaction intensity level. Based on the soil particle composition and substrate looseness data, the appropriate sowing depth and sowing rate are matched to the seeds: When the soil particles are fine and the substrate is loose, select the first preset seeding depth level and the first preset seeding amount level; When the soil particles are of moderate size and the substrate is of moderate looseness, select the second preset seeding depth level and the second preset seeding amount level. When the soil particles are coarse and the substrate is loose, select the third preset seeding depth level and the third preset seeding amount level. When either soil particle size or substrate looseness reaches a higher preset level, directly select the higher preset sowing depth level and preset sowing amount level. The seeder travels at a constant speed along the growth zone markings, and the speed of the seeder's seed metering device is linked and matched with the travel speed. After sowing, cover with fine soil of appropriate thickness, and match the compaction strength level according to the sowing depth level. The first and second preset sowing depth levels correspond to the first preset compaction strength level, and the third preset sowing depth level corresponds to the second preset compaction strength level. Rubber compaction wheels are used to perform compaction operations. When the planting area has undulating terrain, the planting level is re-matched and the planting parameters are adjusted to maintain planting consistency.

[0037] Specifically, based on the characteristics of legume seeds (small grains, weak germination and emergence strength) and grass seeds (larger grains, stronger resistance), the following pre-set sowing depth levels are established: a first pre-set sowing depth of 1-1.5 cm, a second pre-set sowing depth of 1.5-2.5 cm, and a third pre-set sowing depth of 2.5-3.5 cm, with the first pre-set sowing depth being less than the second pre-set sowing depth, which in turn is less than the third pre-set sowing depth. The pre-set sowing rate for legume seeds is set at 15-18 kg / mu, a second pre-set sowing rate of 18-22 kg / mu, and a third pre-set sowing rate of 22-25 kg / mu; for grass seeds, the first pre-set sowing rate is 20-25 kg / mu, and the second pre-set sowing rate is... The seeding rate is set at 25-30 kg / mu for the first preset seeding level and 30-35 kg / mu for the second preset seeding level, with the first preset seeding rate for the same crop being lower than the second preset seeding rate, which in turn is lower than the third preset seeding rate. The pre-set compaction intensity is 0.2-0.3 MPa for the first preset compaction intensity and 0.4-0.5 MPa for the second preset compaction intensity, with the first preset compaction intensity being lower than the second preset compaction intensity. The soil particle composition and substrate looseness are matched with the soil basic data, where fine soil particles are defined as having >60% of particles <0.075 mm, moderate particles as having 50%-60% of particles between 0.075 and 2 mm, and coarse particles as having >2 mm of particles... For soil particles > 40%, high substrate looseness is set to porosity > 50%; medium looseness is set to porosity 35%-50%; and low looseness is set to porosity < 35%. When soil particles are fine and substrate looseness is high, select the first preset sowing depth level and the first preset sowing rate level. When soil particles are moderate and substrate looseness is medium, select the second preset sowing depth level and the second preset sowing rate level. When soil particles are coarse and substrate looseness is low, select the third preset sowing depth level and the third preset sowing rate level. When either soil particle condition or substrate looseness condition reaches a higher preset level, directly select the higher preset sowing depth level and preset sowing rate level. The seeder moves along the growth zone markings at a speed of 2-3 km / h. The seeder travels at a constant speed of h, with the seed metering speed synchronized with the travel speed. For every 0.5 km / h increase in speed, the seed metering speed increases by 5 r / min. After sowing, the seeder is covered with a suitable thickness of fine soil. The first preset sowing depth level corresponds to a 0.5 cm layer of fine soil, the second to 1 cm, and the third to 1.5 cm. The compaction intensity level is matched according to the sowing depth level. The first and second preset sowing depth levels correspond to the first preset compaction intensity level, and the third preset sowing depth level corresponds to the second preset compaction intensity level. A 50 cm wide rubber compaction wheel is used for compaction. When the sowing area has terrain undulations with a slope greater than 3°, the level is rematched and the sowing parameters are adjusted for the undulating area, with the sowing depth increased by 0.5 cm compared to the original level.The seeding depth is 5cm, and the seeding rate is increased by 5% compared to the original grade, maintaining overall seeding consistency.

[0038] Understandably, by combining the characteristics of legume and grass seeds and pre-setting three-level gradients for sowing depth, sowing rate, and two levels of compaction intensity, the germination needs of different seeds are precisely matched. At the same time, scientific level matching rules are formulated based on soil particle composition and substrate looseness. Furthermore, by linking the seeder's seed metering speed with its travel speed, dynamically adjusting parameters for terrain undulations, and precisely corresponding compaction intensity with sowing depth, the problems of uneven depth, blind sowing rate, and improper compaction in traditional sowing are completely avoided. This effectively maintains the consistency of sowing across the entire area, ensuring good contact between seeds and soil, promoting seed germination and seedling rooting, and improving seed utilization. This lays a solid foundation for the uniform growth and high and stable yield of mixed-sowing grasslands in saline-alkali land.

[0039] Specifically, when alternately supplying fresh water and salt water, the following steps are included: presetting a first preset immersion cycle level, a second preset immersion cycle level, and a third preset immersion cycle level, wherein the first preset immersion cycle level is less than the second preset immersion cycle level and the third preset immersion cycle level; setting a first preset salinity content adaptation level and a second preset salinity content adaptation level, wherein the first preset salinity content adaptation level is less than the second preset salinity content adaptation level; and setting a first humidity control range and a second humidity control range, wherein the first humidity control range is less than the second humidity control range. Based on the initial salinity content in the soil baseline data, the corresponding infiltration cycle level and salinity content matching level are matched: When the initial soil salinity is at level one, select the first preset infiltration cycle level and the first preset salinity content matching level. When the initial soil salinity is at level two, select the second preset infiltration cycle level and the first preset salinity content matching level. When the initial soil salinity is divided into three levels, the third preset infiltration cycle level and the second preset salinity content matching level are selected, wherein the first level of salinity is less than the second level of salinity, which is less than the third level of salinity. The target humidity is set as the humidity control range corresponding to the field water holding capacity, the first soil salinity corresponds to the first humidity control range, and the second and third soil salinity correspond to the second humidity control range. A smart irrigation control system is set up to automatically open the corresponding water source valve when the humidity is below the lower limit of the range and automatically close it when it is above the upper limit of the range. Regularly monitor changes in soil salinity. When the salinity level drops to the preset standard, adjust the infiltration cycle level accordingly to ensure that irrigation uniformity meets the preset standard.

[0040] Specifically, the first preset soaking cycle level is set to 3 days / cycle, the second preset soaking cycle level to 5 days / cycle, and the third preset soaking cycle level to 7 days / cycle, with the first preset soaking cycle level being less than the second preset soaking cycle level, which is less than the third preset soaking cycle level; the first preset salinity content adaptation level corresponds to a salinity ≤0.3%, and the second preset salinity content adaptation level corresponds to a salinity >0.3%, with the first preset salinity content adaptation level being less than the second preset salinity content adaptation level; the first humidity control range is set to 50%- of field capacity. The first humidity control range is 55%, and the second humidity control range is 60%-65% of field capacity, with the first humidity control range being smaller than the second humidity control range. Based on the initial salinity content in the soil baseline data, corresponding infiltration cycle levels and salinity content adaptation levels are matched. The first level salinity is set to <0.3%, the second level salinity to 0.3%-0.6%, and the third level salinity to >0.6%, with the first level salinity being less than the second level salinity, which is less than the third level salinity. When the initial soil salinity is at the first level, the first preset infiltration cycle level and the first preset salinity content adaptation level are selected. When the initial soil salinity is at level two, a second preset infiltration cycle level is selected to match the first preset salinity level; when the initial soil salinity is at level three, a third preset infiltration cycle level is selected to match the second preset salinity level; the target humidity is set to the humidity control range corresponding to field capacity, with level one soil salinity corresponding to the first humidity control range, and level two and level three soil salinity corresponding to the second humidity control range; an intelligent irrigation control system integrating soil moisture sensors, intelligent solenoid valves, and a central controller is constructed, with soil moisture sensors installed at 20m x 2m intervals. The system is deployed at 0m intervals to collect soil moisture data in real time. When the moisture level is below the lower limit of the interval, the corresponding water source valve is automatically opened, and when it is above the upper limit of the interval, it is automatically closed. The valve response delay is no more than 10 seconds. Soil salinity is monitored regularly, with the monitoring cycle set to once every 3 days. When the salinity content drops to the preset standard of 0.3%, the immersion cycle level is adjusted down according to the level (i.e., from level 3 to level 2, and from level 2 to level 1). At the same time, the preset standard for irrigation uniformity is set to be ≤5% for the soil moisture variation coefficient in the irrigation area. The standard is ensured by adjusting the flow valve of the branch pipeline.

[0041] Understandably, by pre-setting multi-level infiltration cycle levels, salinity content adaptation levels, and humidity control ranges, and by precisely matching corresponding irrigation parameters with the initial soil salinity, coupled with an intelligent irrigation control system, the system can automatically start and stop soil humidity regulation. At the same time, it can dynamically adjust the infiltration cycle level according to changes in soil salinity and ensure irrigation uniformity. This not only efficiently saves freshwater resources but also precisely inhibits soil salt accumulation and backflow, stably maintaining a suitable humidity environment for plant growth. This significantly improves the targeting and intelligence level of irrigation management in saline-alkali land, provides stable water support for the healthy growth of leguminous and gramineous plants, and helps to steadily improve the effect of saline-alkali land improvement.

[0042] Specifically, when using drip irrigation equipment to target and spray the corresponding growth zone, the following steps are included: presetting a first preset bacterial solution concentration level and a second preset bacterial solution concentration level, wherein the first preset bacterial solution concentration level is lower than the second preset bacterial solution concentration level; setting a first preset spraying amount level and a second preset spraying amount level, wherein the first preset spraying amount level is lower than the second preset spraying amount level; and setting a first moisturizing cycle level and a second moisturizing cycle level, wherein the first moisturizing cycle level is lower than the second moisturizing cycle level. Match the bacterial solution concentration and spraying rate according to the soil organic matter content and growth zone type: When the soil organic matter content in the legume growing zone is higher than the standard content, select the first preset bacterial solution concentration level and the first preset spraying amount level. When the soil organic matter content in the legume growing zone is lower than the standard content, select the second preset bacterial solution concentration level and the second preset spraying amount level. When the soil organic matter content in the grass growth zone is higher than the standard content, select the first preset bacterial solution concentration level and the second preset spraying amount level; When the soil organic matter content in the grass growth zone is lower than the standard content, select the second preset bacterial solution concentration level and the first preset spraying amount level. Control the drip irrigation equipment to perform spraying operations according to the matching spraying volume level. The spraying time is sorted by priority, with cloudy days as the first priority and periods of gentle light as the second priority, to avoid direct sunlight that may cause the inactivation of the inoculum. After inoculation, maintain soil moisture according to the matching moisture retention cycle level. The first preset bacterial solution concentration level corresponds to the first moisture retention cycle level, and the second preset bacterial solution concentration level corresponds to the second moisture retention cycle level.

[0043] Specifically, the first preset bacterial concentration level is set to 1×10⁻⁶. 8 CFU / mL, the second preset bacterial concentration level is 2×10 8The concentration of bacterial solution is set at CFU / mL, and the first preset bacterial solution concentration level is lower than the second preset bacterial solution concentration level; the first preset spraying rate is set at 15-20 L / mu, and the second preset spraying rate is set at 20-25 L / mu, with the first preset spraying rate level being lower than the second preset spraying rate level; the first moisturizing cycle is set at 3-5 days, and the second moisturizing cycle is set at 6-8 days, with the first preset moisturizing cycle level being lower than the second preset moisturizing cycle level; the standard soil organic matter content is defined as 1.0%, which serves as the benchmark for judging the level of organic matter content; the bacterial solution concentration level and spraying rate level are precisely matched according to the soil organic matter content and the type of growth zone: when the soil organic matter content in the legume growth zone is higher than the standard content of 1.0%, the first preset bacterial solution concentration level and the first preset spraying rate level are selected; when the soil organic matter content in the legume growth zone is lower than the standard content of 1.0%, the second preset bacterial solution concentration level and the second preset spraying rate level are selected; when the soil organic matter content in the gramineous growth zone is higher than the standard content of 1.0%, the first preset bacterial solution concentration level and the first preset spraying rate level are selected; when the soil organic matter content in the gramineous growth zone is higher than the standard content of 1.0%, the first preset bacterial solution concentration level and the second ... Select the first preset bacterial solution concentration level and the second preset spraying volume level; when the soil organic matter content in the gramineous growth zone is lower than the standard content of 1.0%, select the second preset bacterial solution concentration level and the first preset spraying volume level; control the drip irrigation equipment equipped with a precision flow regulator to perform spraying operation according to the matching spraying volume level, the drip irrigation tape is precisely laid along the growth zone, the dripper spacing is set to 20cm, the dripper flow rate is controlled at 2L / h, the bacterial solution is filtered through 100 mesh before spraying to prevent dripper clogging, the spraying time is strictly ordered according to priority, cloudy days are the first priority, the light periods of 6-8 am and 5-7 pm are the second priority, and strong direct sunlight from 10 am to 2 pm is strictly avoided to prevent inactivation of the inoculum; after inoculation, maintain the soil moisture in the appropriate range of 65%-70% according to the matching moisture retention cycle level, the first preset bacterial solution concentration level corresponds to the first moisture retention cycle level, and the second preset bacterial solution concentration level corresponds to the second moisture retention cycle level, and the soil moisture is monitored twice a day during the moisture retention period to ensure that the moisture content is stable and meets the standard.

[0044] Understandably, by pre-setting multi-level bacterial solution concentrations, spraying amounts, and moisture retention cycles, and by establishing differentiated matching rules based on soil organic matter content and growth zone type, the microbial needs of leguminous and gramineous plants can be precisely matched. At the same time, appropriate spraying times are selected according to priority to avoid microbial inactivation. The moisture retention cycle and bacterial solution concentration levels are precisely matched to maintain suitable humidity, effectively solving the problems of blind application of traditional microbial agents, easy loss of microbial activity, and poor adaptability. This significantly improves the efficiency of bacterial solution establishment and utilization, enhances the nitrogen fixation capacity of leguminous plants and the stress resistance of gramineous plants, thereby improving soil fertility and providing a strong guarantee for the healthy growth of mixed-sowing grasslands in saline-alkali land.

[0045] Specifically, the cyclical maintenance and parameter optimization includes: presetting a first preset deviation level, a second preset deviation level, and a third preset deviation level, wherein the first preset deviation level is less than the second preset deviation level and less than the third preset deviation level; setting a first adjustment coefficient, a second adjustment coefficient, and a third adjustment coefficient, wherein the first adjustment coefficient is less than the second adjustment coefficient and less than the third adjustment coefficient; and setting a first review cycle, a second review cycle, and a third review cycle, wherein the first review cycle is less than the second review cycle and less than the third review cycle. Calculate the deviations of soil salinity and pH from the preset improvement targets, as well as the differences of grassland cover and biomass from the preset growth targets, and match the corresponding deviation levels according to the magnitude of the values: When the soil composition deviation value and the difference value are within the first deviation value range, the first preset deviation level is matched, corresponding to the first adjustment coefficient and the first review cycle; When the soil composition deviation value and the difference value are within the second deviation value range, the second preset deviation level is matched, corresponding to the second adjustment coefficient and the second review cycle; When the soil composition deviation value and difference value are in the third deviation value range, the third preset deviation level is matched, corresponding to the third adjustment coefficient and the third review cycle, wherein the first deviation value range is smaller than the second deviation value range and the third deviation value range. Adjust planting parameters according to the matching adjustment coefficients. The first preset deviation level adjusts the irrigation cycle, the second preset deviation level adjusts the irrigation cycle and the ratio of the embedding agent, and the third preset deviation level comprehensively adjusts the ratio of the embedding agent, the irrigation cycle, the seeding amount and the inoculation dosage of the growth-promoting bacteria. After adjustment, a follow-up review should be conducted according to the corresponding review cycle, and the comparison and adjustment steps should be repeated. Once all indicators reach the preset improvement targets, the first review cycle is selected for continuous monitoring until the indicators have been running stably for more than the set time, thus completing the improvement process; if the indicators fluctuate during the stable period, the deviation level is rematched and adjustments are made.

[0046] Specifically, a first preset deviation level is set to correspond to slight deviation, a second preset deviation level to correspond to moderate deviation, and a third preset deviation level to correspond to severe deviation, with the first preset deviation level being less than the second preset deviation level, which is less than the third preset deviation level. A first adjustment coefficient is set to 0.9, a second adjustment coefficient to 1.0, and a third adjustment coefficient to 1.1, with the first adjustment coefficient being less than the second adjustment coefficient, which is less than the third adjustment coefficient. A first review period is set to 7 days, a second review period to 15 days, and a third review period to 30 days, with the first review period being less than the second review period, which is less than the third review period. Simultaneously, the preset improvement targets are defined as soil salinity ≤0.3% and pH value 6.5-7.5. Grassland cover ≥90%, grassland biomass ≥500 kg / mu, with preset growth targets and improvement targets synchronized; calculate the soil composition deviation values ​​(salt deviation is the difference between the measured value and 0.3%, pH deviation is the absolute value between the measured value and the 7.0 baseline value) and the differences between grassland cover, biomass and preset growth targets, and match the corresponding deviation levels according to the magnitude of the values. The first deviation value range is salt deviation ≤0.1%, pH deviation ≤0.3, cover difference ≤5%, and biomass difference ≤50 kg / mu; the second deviation value range is 0.1% < salt deviation ≤0.2% and 0.3 < pH deviation ≤0. 5. For soil composition deviations within the first deviation range (where 5% < soil cover difference ≤ 10%), 50 kg / mu < biomass difference ≤ 100 kg / mu), and the third deviation range (where salinity deviation > 0.2%, pH deviation > 0.5, soil cover difference > 10%, and biomass difference > 100 kg / mu), and the first deviation range is less than the second deviation range, which is less than the third deviation range: When the soil composition deviation and difference are within the first deviation range, the first preset deviation level is applied, corresponding to the first adjustment coefficient and the first review cycle; when within the second deviation range, the second preset deviation level is applied, corresponding to the second adjustment coefficient and the second review cycle; when within the third deviation range, the third preset deviation level is applied, corresponding to the third adjustment coefficient and the third review cycle. Adjust the coefficients and the third review cycle; adjust the planting parameters according to the matched adjustment coefficients. For the first preset deviation level, only the irrigation cycle is adjusted according to the coefficient. For the second preset deviation level, the irrigation cycle and the ratio of the encapsulating agent raw materials are adjusted according to the coefficient. For the third preset deviation level, the encapsulating agent ratio, irrigation cycle, seeding rate, and growth-promoting bacteria inoculation dosage are all adjusted according to the coefficient. After adjustment, the soil and grassland indicators are reviewed according to the corresponding review cycle, and the deviation comparison and parameter adjustment steps are repeated. When all indicators reach the preset improvement target, the first review cycle is selected for continuous monitoring until the indicators are stable for more than 90 days, and the improvement process is completed. If the indicators fluctuate during the stable period and fall into the corresponding deviation value range, the deviation level is immediately rematched and the full set of adjustment steps is executed.

[0047] Understandably, by pre-setting a three-tiered deviation level, adjustment coefficient, and review cycle, the degree of deviation between soil composition and grassland growth is precisely quantified. Differentiated parameter adjustments are implemented based on the deviation level: minor deviations only require adjustment of the irrigation cycle, moderate deviations require simultaneous adjustment of the irrigation cycle and the ratio of the embedding agent, and severe deviations require comprehensive optimization of core planting parameters. This ensures both the targeted and efficient nature of the adjustments and avoids the waste of resources caused by blind adjustments. At the same time, the improvement effect is dynamically tracked through a tiered review cycle. After the target is met, continuous monitoring is conducted, and adjustments are made promptly when fluctuations occur. This constructs a complete closed loop of "deviation detection - precise adjustment - dynamic review - stability guarantee," which completely solves the problems of traditional extensive management, fixed parameters, and lack of long-term feedback mechanisms. It effectively ensures the steady achievement and long-term stability of saline-alkali land improvement indicators and significantly improves the success rate and sustainability of mixed-sown grassland improvement.

[0048] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program goods. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program goods embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0049] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program goods according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0050] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0051] These computer program instructions can also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0052] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for improving saline-alkali land through mixed sowing of grassland, characterized in that, include: Soil samples were collected from different areas of saline-alkali land at a set depth from the surface to the ground. The location and depth information of each sampling point were marked. The salt content, pH value, organic matter content, nitrogen, phosphorus and potassium content and soil particle composition of the soil samples were tested. After removing abnormal data, complete basic soil data was obtained. Legume seed embedding agents and grass seed embedding agents were prepared separately, and the legume seed embedding agents and grass seed embedding agents were adjusted to a preset viscosity; at the same time, legume growth zone substrates and grass growth zone substrates were prepared. Based on soil data and topography, parallel legume and grass growth zones were delineated using marking equipment and markers were placed. The matrix of the legume and grass growth zones was filled into the corresponding growth zones and the surfaces were leveled. Seeds were mixed with the corresponding encapsulating agent and sown in rows along the growth zones, controlling the sowing depth and amount. After sowing, a thin layer of soil was covered and compacted. Construct irrigation pipelines connecting freshwater and saline water sources, set up an immersion cycle to alternately deliver freshwater and saline water, and immerse the soil to the preset humidity; cultivate legume rhizobium and grass growth-promoting bacteria strains and dilute them to prepare bacterial solutions, use drip irrigation equipment to target and spray them onto the corresponding growth zones, record the inoculation time and maintain appropriate humidity to promote bacterial colonization. Set mowing and rest periods, and alternate mowing and rest operations for legume growth zones and grass growth zones; review soil indicators and grassland growth status through preset cycles, compare the review data with the initial data and preset improvement targets, and adjust the coating agent ratio, irrigation cycle and inoculation dosage parameters as needed, and repeat the cycle until the improvement target is achieved.

2. The method for improving saline-alkali land through mixed sowing of grassland according to claim 1, characterized in that, Soil basic data collection, including: The saline-alkali land was divided into several sampling units according to its topography. Sampling points were set up evenly distributed in each sampling unit, and the uniform sampling depth from the surface to the ground was determined for each sampling point. Soil samples were collected using a stratified sampling method, and then packaged and labeled according to sampling location and depth information to construct a soil sample library; Salt content and pH value were detected using a salt content analyzer and pH meter. Organic matter, nitrogen, phosphorus and potassium content were detected using the potassium dichromate titration method and Kjeldahl nitrogen determination method. Soil particle composition was detected by sieving method. The detection data is aggregated, and outlier data that deviates from the overall data distribution range is removed using an outlier removal algorithm.

3. The method for improving saline-alkali land through mixed sowing of grassland according to claim 2, characterized in that, The preparation process of the legume seed encapsulation agent and the grass seed encapsulation agent includes: Starch, humus, phosphate rock powder, and rooting powder were identified as the raw material group for legume encapsulation agents, while cellulose, wood ash, potassium chloride, and silicon fertilizer were identified as the raw material group for gramineous encapsulation agents. The historical database of saline-alkali land improvement was retrieved, and the cosine similarity algorithm was used to calculate the compatibility coefficients between the two sets of raw materials and the historically successful encapsulating agent raw material sets. We screened raw material formulation schemes with compatibility coefficients that met preset compatibility standards and constructed a screening library of encapsulating agents for legumes and grasses. Based on the organic matter and salt content in the soil baseline data, the initial raw material ratio is matched from the screening ratio library.

4. The method for improving saline-alkali land through mixed sowing of grassland according to claim 3, characterized in that, When adjusting the legume seed embedding agent and the grass seed embedding agent to a suitable viscosity, the following steps are included: A first viscosity threshold range for legume seed encapsulation agent and a second viscosity threshold range for grass seed encapsulation agent are preset. A first preset viscosity deviation level, a second preset viscosity deviation level, and a third preset viscosity deviation level are set, and the first preset viscosity deviation level is less than the second preset viscosity deviation level, which is less than the third preset viscosity deviation level. The current viscosity of the embedding agent is detected in real time using a rotational viscometer, and the viscosity deviation value between the current viscosity and the corresponding preset threshold range is obtained. The viscosity deviation value is compared with a preset viscosity deviation level, and the viscosity adjustment method is determined based on the comparison result: When the viscosity deviation value is within the first preset viscosity deviation level, adjust it by adding a small amount at a time. When the viscosity deviation value is within the second preset viscosity deviation level, adjust it by adding it in multiple quantitative increments, keeping the amount added each time, until the viscosity deviation value is within the first preset viscosity deviation level, then adjust it again by adding it in small amounts at once; When the viscosity deviation value is within the third preset viscosity deviation level, first check the uniformity of the raw material mixing, re-stir and test the viscosity, and then add raw materials or water in a decreasing manner to adjust it. During viscosity adjustment, if the current viscosity is already within the preset threshold range, the adjustment operation is stopped; if the adjusted viscosity exceeds another threshold boundary, the adjustment steps are repeated according to the corresponding deviation level until the viscosity stabilizes within the preset threshold range.

5. The method for improving saline-alkali land through mixed sowing of grassland according to claim 4, characterized in that, The growth zone delineation process includes: Based on basic soil data, the soil was divided into high, medium and low salinity zones. Leguminous growth zones were set up in medium and low salinity zones, and grass growth zones were set up in high salinity zones. The direction of growth zone extension is determined by combining the terrain slope; for gentle terrain, it is delineated along the horizontal direction, and for terrain with a larger slope, it is delineated along the contour line direction. Set appropriate widths for legume growth zones, grass growth zones, and spacing between adjacent growth zones, and use laser marking equipment to draw lines and insert colored markers.

6. The method for improving saline-alkali land through mixed sowing of grassland according to claim 5, characterized in that, When filling the corresponding growth zone with the growth zone substrate and smoothing the surface, the process includes: Mix the substrate materials according to the appropriate volume ratio. For the legume growth zone substrate, mix decomposed straw, river sand, and decomposed sheep manure in the appropriate proportion. For the grass growth zone substrate, mix decomposed sawdust, perlite, and decomposed cow manure in the appropriate proportion. Fill the corresponding growth zone with the well-mixed matrix, control the filling thickness, compact in layers, and control the compaction thickness of each layer and the overall compaction degree; A laser leveling machine is used to treat the substrate surface so that the soil surface flatness meets the preset standard, and the surface is an arc shape with a high center and low sides, and the height difference of the arc is controlled within the preset height difference range.

7. The method for improving saline-alkali land through mixed sowing of grassland according to claim 6, characterized in that, When controlling the sowing depth and sowing rate, the following should be included: Based on the characteristics of legume seeds and grass seeds, a first preset sowing depth level, a second preset sowing depth level, and a third preset sowing depth level are preset, with the first preset sowing depth level being less than the second preset sowing depth level, which is less than the third preset sowing depth level; a first preset sowing amount level, a second preset sowing amount level, and a third preset sowing amount level are preset, with the first preset sowing amount level being less than the second preset sowing amount level, which is less than the third preset sowing amount level; and a first preset compaction intensity level and a second preset compaction intensity level are preset, with the first preset compaction intensity level being less than the second preset compaction intensity level. Based on the soil particle composition and substrate looseness data, the appropriate sowing depth and sowing rate are matched to the seeds: When the soil particles are fine and the substrate is loose, select the first preset seeding depth level and the first preset seeding amount level; When the soil particles are of moderate size and the substrate is of moderate looseness, select the second preset seeding depth level and the second preset seeding amount level. When the soil particles are coarse and the substrate is loose, select the third preset seeding depth level and the third preset seeding amount level. When either soil particle size or substrate looseness reaches a higher preset level, directly select the higher preset sowing depth level and preset sowing amount level. The seeder travels at a constant speed along the growth zone markings, and the speed of the seeder's seed metering device is linked and matched with the travel speed. After sowing, cover with fine soil of appropriate thickness, and match the compaction strength level according to the sowing depth level. The first and second preset sowing depth levels correspond to the first preset compaction strength level, and the third preset sowing depth level corresponds to the second preset compaction strength level. Rubber compaction wheels are used to perform compaction operations. When the planting area has undulating terrain, the planting level is re-matched and the planting parameters are adjusted to maintain planting consistency.

8. The method for improving saline-alkali land through mixed sowing of grassland according to claim 7, characterized in that, When alternating between fresh and salt water, the following applies: A first preset immersion cycle level, a second preset immersion cycle level, and a third preset immersion cycle level are preset, with the first preset immersion cycle level being less than the second preset immersion cycle level, which in turn is less than the third preset immersion cycle level; a first preset salt content adaptation level and a second preset salt content adaptation level are set, with the first preset salt content adaptation level being less than the second preset salt content adaptation level; a first humidity control range and a second humidity control range are set, with the first humidity control range being less than the second humidity control range; Based on the initial salinity content in the soil baseline data, the corresponding infiltration cycle level and salinity content matching level are matched: When the initial soil salinity is at level one, select the first preset infiltration cycle level and the first preset salinity content matching level. When the initial soil salinity is at level two, select the second preset infiltration cycle level and the first preset salinity content matching level. When the initial soil salinity is divided into three levels, the third preset infiltration cycle level and the second preset salinity content matching level are selected, wherein the first level of salinity is less than the second level of salinity, which is less than the third level of salinity. The target humidity is set as the humidity control range corresponding to the field water holding capacity, the first soil salinity corresponds to the first humidity control range, and the second and third soil salinity correspond to the second humidity control range. A smart irrigation control system is set up to automatically open the corresponding water source valve when the humidity is below the lower limit of the range and automatically close it when it is above the upper limit of the range. Regularly monitor changes in soil salinity. When the salinity level drops to the preset standard, adjust the infiltration cycle level accordingly to ensure that irrigation uniformity meets the preset standard.

9. The method for improving saline-alkali land through mixed sowing of grassland according to claim 8, characterized in that, When using drip irrigation equipment to target and spray the corresponding growth zone, it includes: A first preset bacterial solution concentration level and a second preset bacterial solution concentration level are preset, and the first preset bacterial solution concentration level is lower than the second preset bacterial solution concentration level; a first preset spraying amount level and a second preset spraying amount level are set, and the first preset spraying amount level is lower than the second preset spraying amount level; a first moisturizing cycle level and a second moisturizing cycle level are set, and the first moisturizing cycle level is lower than the second moisturizing cycle level. Match the bacterial solution concentration and spraying rate according to the soil organic matter content and growth zone type: When the soil organic matter content in the legume growing zone is higher than the standard content, select the first preset bacterial solution concentration level and the first preset spraying amount level. When the soil organic matter content in the legume growing zone is lower than the standard content, select the second preset bacterial solution concentration level and the second preset spraying amount level. When the soil organic matter content in the grass growth zone is higher than the standard content, select the first preset bacterial solution concentration level and the second preset spraying amount level; When the soil organic matter content in the grass growth zone is lower than the standard content, select the second preset bacterial solution concentration level and the first preset spraying amount level. Control the drip irrigation equipment to perform spraying operations according to the matching spraying volume level. The spraying time is sorted by priority, with cloudy days as the first priority and periods of gentle light as the second priority, to avoid direct sunlight that may cause the inactivation of the inoculum. After inoculation, maintain soil moisture according to the matching moisture retention cycle level. The first preset bacterial solution concentration level corresponds to the first moisture retention cycle level, and the second preset bacterial solution concentration level corresponds to the second moisture retention cycle level.

10. The method for improving saline-alkali land through mixed sowing of grassland according to claim 9, characterized in that, Circulation maintenance and parameter optimization, including: A first preset deviation level, a second preset deviation level, and a third preset deviation level are preset, with the first preset deviation level being less than the second preset deviation level and less than the third preset deviation level; a first adjustment coefficient, a second adjustment coefficient, and a third adjustment coefficient are set, with the first adjustment coefficient being less than the second adjustment coefficient and less than the third adjustment coefficient; a first review cycle, a second review cycle, and a third review cycle are set, with the first review cycle being less than the second review cycle and less than the third review cycle. Calculate the deviations of soil salinity and pH from the preset improvement targets, as well as the differences of grassland cover and biomass from the preset growth targets, and match the corresponding deviation levels according to the magnitude of the values: When the soil composition deviation value and the difference value are within the first deviation value range, the first preset deviation level is matched, corresponding to the first adjustment coefficient and the first review cycle; When the soil composition deviation value and the difference value are within the second deviation value range, the second preset deviation level is matched, corresponding to the second adjustment coefficient and the second review cycle; When the soil composition deviation value and difference value are in the third deviation value range, the third preset deviation level is matched, corresponding to the third adjustment coefficient and the third review cycle, wherein the first deviation value range is smaller than the second deviation value range and the third deviation value range. Adjust planting parameters according to the matching adjustment coefficients. The first preset deviation level adjusts the irrigation cycle, the second preset deviation level adjusts the irrigation cycle and the ratio of the embedding agent, and the third preset deviation level comprehensively adjusts the ratio of the embedding agent, the irrigation cycle, the seeding amount and the inoculation dosage of the growth-promoting bacteria. After adjustment, a follow-up review should be conducted according to the corresponding review cycle, and the comparison and adjustment steps should be repeated. Once all indicators reach the preset improvement targets, the first review cycle is selected for continuous monitoring until the indicators have been running stably for more than the set time, thus completing the improvement process; if the indicators fluctuate during the stable period, the deviation level is rematched and adjustments are made.

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