52 results about "Soil management" patented technology

The invention provides a method and a system for evaluating the biological health condition of cultivated land soil based on exploratory factor analysis, and relates to the technical field of evaluation of the biological health condition of soil. The precise analysis of the complex interaction relationship between the soil microorganism function and the environmental factor is realized; through multi-dimensional index fusion and deep mining of a factor model, key biological function factors are effectively discriminated and quantified, and the scientific evaluation capability of soil ecological functions is improved; in combination with causal path analysis, the scheme can reveal the influence of environmental pressure on a microbial regulation and control mechanism, and intelligent attribution and traceability of abnormal health conditions are realized; based on dynamic fusion and grading judgment of function and environment scores, the scheme supports accurate health condition evaluation and hierarchical intervention, the early warning capability and decision scientificity of soil management are enhanced, and the agricultural sustainable development guarantee level is remarkably improved.

The invention provides a soil ammonium nitrogen content hyperspectral prediction method based on an improved extreme learning machine, and relates to the technical field of hyperspectral prediction. The method comprises the following steps: firstly, collecting and treating a soil sample for soil spectral measurement and NH4 < + >-N content determination; measuring soil spectral reflectivity data; preprocessing the soil spectral reflectivity data to form a spectral reflectivity data set; then carrying out characteristic wave band selection by adopting a sequential forward selection algorithm; an improved butterfly optimization algorithm IBOA is adopted to optimize model parameters of an extreme learning machine ELM, and then a hyperspectral prediction model used for predicting the NH4 < + >-N content of the soil is constructed; and finally, the ELM model after parameter optimization is selected to construct a hyperspectral prediction model to predict the NH4 < + >-N content. The method not only provides theoretical and technical support for soil ammonium nitrogen content monitoring, but also provides important reference and guidance for soil nitrogen cycle research and soil management.

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

The invention belongs to the technical field of biology, and relates to a heavy metal tolerant sphingomonas strain 1PPS-Zn1 and application thereof, the heavy metal tolerant sphingomonas strain 1PPS-Zn1 is preserved in China Center for Type Culture Collection on March 20, 2025, the preservation number is CCTCC NO: M 2025544, the sphingomonas strain 1PPS-Zn1 can adsorb and tolerate high-concentration zinc, the highest tolerable concentration reaches 80 mmol / L, and the sphingomonas strain 1PPS-Zn1 also has the capabilities of producing IAA, fixing nitrogen and promoting plant growth, and can be applied to the field of heavy metal tolerant plants. And the absorption, enrichment and transfer capabilities of the black nightshade to heavy metal zinc in the soil can be improved, finally, the remediation efficiency of the zinc-polluted soil is improved, a new way is provided for soil remediation and ecological environment remediation, and the method has wide development and application prospects.

The invention discloses a tobacco leaf quality improving method and system based on planting soil management. The method comprises the following steps: firstly, acquiring historical soil quality and root growth data of a tobacco plant, and analyzing root growth preferences under different soil conditions by using a clustering algorithm to form soil quality-preference data; combining the soil quality data of the target planting area to construct a root growth probability distribution map, and predicting root distribution according to the planting target; determining the arrangement position of a soil monitoring sensor according to a prediction result, and establishing a monitoring network to realize real-time acquisition of soil substance change; and finally, adjusting and managing nutrient substances in the tobacco planting process according to the monitoring data. According to the method, the adaptability of root systems and soil is improved, nutrient supply is optimized, balanced growth and stable quality of the tobacco leaves are promoted, and therefore tobacco leaf quality improvement and planting benefit optimization are achieved.

The invention relates to the technical field of environment monitoring and big data analysis, and discloses a soil environment quality evaluation method based on big data. The method comprises the following steps: fusing measured data of soil heavy metals with multi-source heterogeneous data such as remote sensing, terrain, land utilization, hydrogeology and the like; a space-attribute joint constraint depth generation network is constructed, an encoder of the space-attribute joint constraint depth generation network extracts multi-scale features, an attribute physical constraint module is embedded into a convection-dispersion equation to model a heavy metal migration mechanism, and a decoder outputs a high-fidelity concentration field; and dividing four pollution risk grades according to national standards, and generating an evaluation diagram. Through data driving and physical mechanism collaborative modeling, the pollution boundary depicting precision is improved, the prediction error under the low sampling density is reduced compared with a traditional method, the recall rate of a high-risk area is increased, and reliable support is provided for precise soil treatment.

The invention relates to the crossing field of soil system remediation, digital smart agriculture, land comprehensive treatment and block chain technology, in particular to a soil treatment block chain authentication excitation system and method based on multi-source credible verification and mineral activation and heavy metal passivation technology. The system comprises a perception execution layer (deployed in a governance area and collecting multi-dimensional governance data), a credible verification layer (military-civilian fusion multi-source cross verification and credible uplink evidence storage), a block chain core layer (alliance chain architecture, including ecological value quantification smart contract), and an application excitation layer (automatic excitation distribution). According to the method, data are ensured to be real and cannot be tampered through multi-source cross verification, soil improvement indexes are converted into incentive integrals by using intelligent contracts, and immediate quantitative incentive of treatment contributions is realized. The problems of low data credibility, excitation delay and insufficient participation in traditional governance are solved, and a credible closed-loop system of'governance-income 'is constructed. Wherein the incentive points are only used for exchanging real object rewards or services (such as agricultural materials and technical support) in the system, do not have a currency function, and do not carry out public transactions or exchange legal currency.

This invention relates to the field of soil attribute prediction technology, and discloses a method and system for predicting soil attributes based on multi-source environmental and remote sensing data. The method includes: acquiring soil environmental and remote sensing image data of a target area, unifying and standardizing the spatiotemporal resolution to generate a standardized dataset; obtaining a feature matrix after fusion and dimensionality reduction, and using random forest and gradient boosting tree to conduct feature analysis and fitness assessment to determine an initial prediction model combination; adjusting weight parameters and feature mapping to form an adaptive prediction model; performing attribute prediction and combining anomaly detection and error correction to generate a prediction dataset; obtaining optimized distribution data through distribution calibration, spatial smoothing, and residual optimization; constructing and validating an attribute distribution map; and finally generating basic data for soil management strategies through confidence interval evaluation and data fusion. This method can solve the problem of insufficient prediction accuracy under complex working conditions.

The invention relates to the technical field of soil management, and discloses a multi-source data-based agricultural decision support system, which comprises a dialogue module, a land parcel module and a my module, and is characterized in that the dialogue module comprises trial questions, historical dialogues and voice questions and answers; the land parcel module comprises land parcel management, periphery matching, report generation and data analysis; the my module comprises members, fruit values, reward fruit values, account setting, privacy policies, message notification and system setting. According to the agricultural decision support system based on the multi-source data, scientific and rigorous investment decisions can be made based on detailed historical climate records, geographical environment characteristics, altitude differences, soil types, market trends and other factors of selected land parcels; meanwhile, information such as historical climate, real-time weather forecast, disaster early warning and minute-level rainfall prediction within the range of 3-6 kilometers around a specific land parcel can be timely acquired, and agricultural producers can flexibly arrange agricultural activities conveniently.

The utility model discloses a Chinese herbal medicine vibration soil loosening and fertilizing device which comprises a mounting shell, a liquid inlet hose is mounted on the inner side of the mounting shell, one end of the liquid inlet hose is communicated with a liquid storage barrel of an electric sprayer, and the other end of the liquid inlet hose is communicated with one end of a soil loosening and fertilizing mechanism; the soil loosening and fertilizing mechanism is located on the lower side of the mounting shell, and the soil loosening and fertilizing mechanism guides out fertilizer liquid and loosens soil; a vibration mechanism is arranged on the inner side of the mounting shell and vibrates the soil loosening and fertilizing mechanism to loosen soil. Through the integrated design, vibration soil loosening and precise fertilization are synchronously carried out, manual operation links are reduced, the fertilization efficiency is remarkably improved, differential requirements of Chinese herbal medicine planting are met, and the vibration soil loosening function effectively loosens soil, improves the air permeability and water permeability of the soil and promotes root growth of Chinese herbal medicine; meanwhile, repeated damage to the soil structure caused by traditional soil loosening and fertilization separation operation is avoided, and sustainability of soil management is achieved.

The application provides a cultivated soil biological health condition evaluation method and system based on exploratory factor analysis, relates to the soil biological health condition evaluation technical field, and realizes accurate analysis on the complex interaction relationship between soil microbial functions and environmental factors by constructing a soil biological health evaluation system based on a nitrogen biological regulation coordination network; through multidimensional index fusion and deep mining of a factor model, key biological function factors are effectively identified and quantified, and the scientific evaluation ability of soil ecological functions is improved; combined with causal path analysis, the scheme can reveal the influence of environmental pressure on microbial regulation mechanism, realize intelligent attribution and tracing of abnormal health conditions, based on dynamic fusion and hierarchical determination of function and environment scores, the scheme supports accurate health condition evaluation and layered intervention, enhances the early warning ability and decision-making scientificity of soil management, and significantly improves the guarantee level of agricultural sustainable development.

The utility model discloses a corn breeding cultivation frame device, which belongs to the technical field of breeding cultivation and comprises a cultivation box, a movable block is slidably connected to the inner end of the cultivation box, a screw rod is rotatably connected to the inner end of the cultivation box, a servo motor is mounted on the cultivation box, and the output end of the servo motor is fixedly connected with the screw rod. A screw sleeve matched with the screw rod is fixedly connected to the movable block, the lower end of the movable block is open, a push plate is slidably connected to the inner wall of the movable block, rollers are rotatably connected to the two ends of the push plate, a plurality of limiting blocks arranged at equal intervals are fixedly connected to the two ends of the inner wall of the cultivation box, and the limiting blocks are of a central symmetry structure; according to the scheme, the servo motor drives the lead screw to rotate, then the movable block and the push plate are driven to slide in the inner cavity of the cultivation box, automatic soil management is achieved, the working efficiency is improved, and complexity and errors of manual operation are reduced.

The invention discloses an ecological balance protection method for tea planting. Aiming at the problems that a traditional single tea garden is ecologically fragile, has many diseases and insect pests, degenerates soil and the like, a tree-shrub-grass multi-layer composite planting system is constructed by scientifically planning tea garden layout, and ecological soil management and disease and insect pest prevention and control measures are matched. Specifically, arbors, shrubs and herbaceous plants in a specific proportion are configured in a tea garden, and technical means such as organic fertilizer application, grass growing cultivation and natural enemy introduction are combined, so that the virtuous circle of a tea garden ecological system is achieved. The method not only improves the quality and yield of the tea leaves, but also protects the ecological environment, and has remarkable ecological benefits and economic benefits.

The invention relates to a demand analysis-combined soil data processing method and system, and relates to the field of data processing, and the method comprises the steps: detecting target land soil characteristic parameters and target seed demand parameters, randomly configuring a soil adjustment scheme, carrying out the integrated prediction, and carrying out the error compensation based on a data sample occurrence rate and a historical adjustment error rate. Finally, an optimal soil adjustment scheme is obtained according to optimization of the soil nutrient fitness and the soil gap fitness, the technical problem that a soil management adjustment method lacks accurate consideration of different crop demand differences and systematic prediction and optimization means is solved, and the purposes that seed demands can be accurately matched, and the adjustment accuracy is improved are achieved. And the pertinence and effectiveness of soil adjustment are improved.

The invention relates to the technical field of soil evaluation, and provides a soil quality evaluation method and device under multipoint sampling and a medium, and the method comprises the steps: obtaining multi-source information of a target area, and constructing a multistage sampling point heat map; soil collection is carried out, and the boundary of soil layer division is dynamically adjusted; constructing a function dependence model of soil structure layering; calculating the function adaptation degree of each sampling point; constructing a functional heterogeneity map containing the soil management level in the target area; and carrying out spatial visualization processing on the functional adaptation degree and the functional heterogeneous map. According to the method, the sampling optimization model is introduced, a plurality of sampling levels are automatically generated according to the spatial distribution of the abrupt change area, the comprehensive variation index and the use requirement, the balance between the evaluation precision and the operation condition is realized, and the scientificity and the adaptability of the sampling scheme are effectively improved.

The invention discloses a microsphere structure for soil improvement and a preparation method and application thereof, and belongs to the technical field of soil treatment. According to the structure, MBBR filler is used as a carrier, the microsphere is composed of an inner core, a middle layer and an outer layer, the inner core contains sodium percarbonate, super absorbent resin and triacontanol, and cooperation of water retention and steam disinfection is achieved; the middle layer is sodium alginate gel, MnO2, humic acid and calcium magnesium phosphate fertilizer are embedded in the middle layer, and the soil microenvironment can be adjusted and nutrients can be supplemented; the outer layer is a temperature-sensitive blended membrane of chitosan and poly (N-isopropylacrylamide), and can respond to the environment to accurately release the components in a controlled manner; in the preparation process, microspheres are constructed in a layered manner through an emulsion method, and then the microspheres are loaded on the MBBR filler; the structure is excellent in performance in soil steam disinfection, the disinfection efficiency can be improved, soil ecological restoration is promoted, and the problems that an existing material is single in function and poor in effect are solved.

The invention provides a straw returning effect evaluation model construction method, system and device and a medium, and belongs to the field of intelligent agriculture, and the method comprises the steps: obtaining meteorological data, soil data, field management data, crop yield data and crop moisture productivity of a training region; effect quantity indexes of the crop yield and the crop moisture productivity are calculated based on Meta analysis, and response variables of the crop yield and the crop moisture productivity of the to-be-evaluated region are obtained; performing data enhancement on the response variables based on an SMOTE method to obtain a synthetic sample of the crop yield and the crop moisture productivity; the meteorological data, the soil data and the field management data serve as input features of a machine learning model, the response variables and the synthetic samples serve as target variables of the machine learning model to optimize hyper-parameters, and a trained straw returning effect evaluation model is obtained. According to the method, the complex interaction effect of climate-soil-management measures can be accurately described, so that the accuracy and generalization ability of an evaluation result are improved.

The invention relates to the technical field of soil management, in particular to an intelligent prediction method and device for the dynamic change trend of soil organic carbon and electronic equipment. Acquiring soil monitoring data, terrain monitoring data, crop monitoring data, facility monitoring data and environment monitoring data corresponding to the target area; performing feature extraction on the soil monitoring data, the terrain monitoring data, the crop monitoring data, the facility monitoring data and the environment monitoring data, and determining a water-soil bearing capacity index corresponding to the target area; based on the water and soil bearing capacity index, the soil monitoring data, the terrain monitoring data, the crop monitoring data and the environment monitoring data, predicting a soil organic carbon dynamic change trend corresponding to the target area; and determining a target measure corresponding to the target area based on the soil organic carbon dynamic change trend. The dynamic change trend of soil organic carbon is predicted, the target area is processed based on the prediction result, and the water and soil resource utilization efficiency and the agricultural carbon emission reduction level are improved.

The invention discloses a vegetation-soil-microorganism synergistic remediation treatment method for a stony desertification slope, and relates to the technical field of soil remediation, and the method comprises the following steps: S1, precise evaluation of site conditions: uniformly arranging 10m * 10m quadrats on a target slope by adopting a GPS positioning and field sampling combined method, and measuring the slope, rock exposure rate, soil thickness and soil organic matter content (SOM); s2, vegetation three-dimensional configuration and field planting: selecting local stress-tolerant species, and constructing a three-dimensional community according to a plant / cluster number ratio of (2-4): (2-4): (3-5); according to the method, vegetation-soil-microorganisms are regarded as an organic whole, a synergistic mutual promotion mechanism of the vegetation, the soil and the microorganisms is systematically constructed, the vegetation fixes a carbon source through photosynthesis, root exudates nourish the microorganisms, the soil provides a physical carrier and a basic environment for the vegetation and the microorganisms, and the microorganisms supply energy to the vegetation through nutrient conversion; and a forward circulation of vegetation soil fixation, soil bacterium cultivation and microbe vegetation promotion is formed.

The invention discloses an urban construction soil operation management system. The system comprises a data acquisition module, a data processing module, a data storage module, a business management module, a data sharing module, a user management module and a system display module. According to the invention, closed-loop management of the whole process of offshore urban construction soil disposal is realized through the business management module, and information coherence and effective supervision in the urban construction soil disposal process are ensured. According to the invention, a panoramic coma screen is constructed through the system display module, accurate decision is realized, real-time data analysis and panoramic display are provided for managers, and the decision support capability is enhanced; meanwhile, the user interaction experience is improved, the system designs function modules oriented to different user roles, personalized services are achieved, and specific requirements of different users are met.

The application discloses a target tree grading tending and soil management method for promoting large-diameter timber formation of Pinus yunnanensis, and relates to the technical field of forest cultivation.The specific steps of the method are as follows: a two-dimensional corresponding system of large-diameter timber cultivation priority and phenology rhythm of Pinus yunnanensis is constructed, and the tending and soil management rules of target trees at different levels corresponding to the phenophase are determined; according to different phenophases in spring, summer and autumn, differentiated tending and root zone management are implemented on the three-level target trees according to the system; the whole-process operation is integrated, a linkage closed loop is constructed, and annual circulation is executed to realize directional and accurate cultivation; the two-dimensional system of cultivation priority and phenology rhythm is constructed, accurate grading and differentiated tending of the trees are realized, the stem form quality is improved, and the overall cultivation efficiency is improved; accurate management of the root zone soil is implemented to meet the nutrient requirement and improve the stress resistance; a whole-process linkage closed loop and a dynamic adjustment mechanism are established to realize real-time optimization of the management strategy, shorten the large-diameter timber cultivation period, and improve the yield and quality of the timber.

This invention discloses a soil regulation method and its application for promoting high and stable yields in peak-producing chestnut stands. It belongs to the field of forestry cultivation and soil management technology. This invention addresses the problems of soil compaction, nutrient imbalance, and degradation of biological functions caused by traditional extensive management practices. It innovatively implements synergistic and precise regulation from three dimensions: soil physical properties, chemical properties, and beneficial fungal communities. This includes: controlling the porosity and water holding capacity of specific soil layers within an optimized range through measures such as covering with organic materials; adjusting the content of key soil nutrients, organic matter, and pH to suitable ranges; and constructing a microbial community containing seven specific types of beneficial fungi with sufficient abundance, inoculated according to a specific time sequence. This method solves the long-standing technical problem of lacking precise management standards, increasing chestnut yield by 1.13–9.74 times, with an annual yield variation coefficient remaining stable at 2.66%, achieving a significant and stable yield increase. Furthermore, it is simple to operate and easy to promote.

The application provides a remote sensing multispectral imaging system for agricultural monitoring, and relates to the technical field of space remote sensing.The application realizes accurate selection by determining an economic crop through an indication economic crop determination module, analyzing historical soil salt content and water shortage data, and selecting a sensitive crop; the correlation evaluation module calculates a water shortage index change rate, analyzes the correlation between historical and current data, and improves the prediction accuracy; the value range determination module divides soil salt content intervals and combines evaluation coefficient standardized management data; the indication area determination module uses multispectral images to realize accurate monitoring and enhance representativeness; the humidity evaluation module analyzes local spectral data to quantify soil humidity; the prediction model construction module uses machine learning to predict salt content, and can accurately predict the dynamic changes of soil salt content and moisture; the correlation analysis module combines the prediction model to check real-time monitoring data; and the division module optimizes soil management strategies according to the water shortage index and humidity coefficient.

The invention relates to the technical field of agricultural machinery, in particular to a liquid fertilizer variable deep application machine and control system based on an orchard soil prescription map, and the liquid fertilizer variable deep application machine comprises a rack part, a fertilizer application part and a ditching part. According to the ditching part, the ditching depth and the ditching position are accurately adjusted through a hydraulic oil cylinder, deep soil ditching and layered fertilization are achieved through a ditching scraper knife, and the ditching depth can be adjusted within the range of 30-60 cm; the fertilizing part sucks out liquid fertilizer through a diaphragm pump, the liquid fertilizer is applied into soil through a fertilizer discharging hose after pressure regulation and flow division, and meanwhile the ditching depth is monitored in real time through a laser distance measuring sensor. The problem of liquid fertilizer deep application operation in space limited occasions is solved, and the high-standard requirements for soil management and precise fertilization in orchard planting are met, so that the growth quality and yield of crops are improved.

The invention discloses a method for evaluating and analyzing the influence of a biodegradable mulching film on an arid region field soil environment, and relates to the technical field of agricultural environment protection and soil management. The method comprises the following steps: acquiring soil environment data of the arid region through a sensor network, acquiring meteorological data through meteorological monitoring equipment, selecting a biodegradable mulching film, and applying the biodegradable mulching film to the soil of the arid region. And monitoring the physical properties of the soil and the chemical properties of the soil to generate physicochemical property data. According to the method, a multi-factor analysis model for soil environment data acquisition, meteorological data acquisition and soil physicochemical property monitoring is established, so that the influence of the biodegradable mulching film on the soil environment of the arid region is comprehensively analyzed. The degradation characteristic of the mulching film and the soil moisture retention effect are comprehensively analyzed through degradation rate evaluation and moisture retention ability testing, and a basis is provided for optimization of a soil improvement strategy in an arid region.

The invention discloses an ecological planting method for Jinggang mandarin oranges, and the planting method comprises the following steps: S1, garden selection and preparation; s2, rootstock selection and cultivation; s3, top grafting; s4, planting management; s5, comprehensive prevention and control of diseases and pests; s6, harvesting and management after harvesting. According to the method, specific rootstock selection, a top grafting technology, soil management and nutrition regulation are combined, so that the yield and the quality of the Jinggang tangerine are remarkably improved.

The utility model discloses a field environment reconnaissance device for water and soil governance, and relates to the technical field of water and soil governance, the field environment reconnaissance device for water and soil governance comprises an unmanned aerial vehicle main body, a lifting mechanism, a sampling mechanism and a buoy, the lifting mechanism is installed at the bottom of one end of the unmanned aerial vehicle main body, and the sampling mechanism is arranged at the bottom of the lifting mechanism; the sampling mechanism is used for collecting a water source, an unmanned aerial vehicle body replaces manual work to go to an environment site needing to be surveyed to collect data, a driving motor drives a reel to rotate, then a connecting rope outside the reel can be released, and then a sampling pipe can descend; the sampling pipe can sink into water under the action of the balancing weight, then a water sample can enter the sampling pipe to be collected, the connecting rope is wound through the reel, the sampling pipe can be taken back, and therefore the device can replace manual work to collect the water source sample, and the convenience of environmental investigation is greatly improved.

The invention relates to the technical field of cultivation and soil management, in particular to a tea orchard green manure annual covering, grass controlling, quality improving and efficiency improving method which comprises the steps that winter green manure combination is sown between rows of tea fruit trees in advance in autumn, the winter green manure is composed of smooth vetch, ryegrass and a compound microbial agent according to the mass ratio of 7: 3: 0.5, and the sowing rate is 5-10 kg / mu; in the first ten days of April of the next year, cutting and pressing green leaves, reserving stubbles of 20-25cm and the length of crushed materials of less than or equal to 5cm, and spraying a lignin degrading enzyme solution; a summer green manure combination is sown after green pressing, the combination is composed of cassia plants, magnolia sieboldii and a nano carbon-based fertilizer according to the mass ratio of 6: 4: 0.3, and the sowing rate is 8-10 kg / mu; and spraying biostimulant every month in the green manure growth period in summer. The method realizes annual coverage of green manure in the tea orchard, effective weed control, soil improvement, fruit tea quality improvement and weeding cost saving, is suitable for the tea orchard in high-temperature and rainy weather in the south, and has good ecological and economic benefits.

This invention relates to a method for preparing a soil amendment using modified graphite synergized with humic acid, as well as a soil management system, within the field of heavy metal saline-alkali soil management technology. The method involves mixing humic acid with modified graphite to create an effective amendment for treating heavy metal saline-alkali soils. Applying this amendment to a soil management system can improve the physicochemical properties of the soil and neutralize heavy metals in the soil.