390 results about "Fertigation" patented technology

The invention provides a crop accurate management method and system based on a crop growth model. The method comprises the following steps: collecting environment data of a crop growth period by integrating a remote sensing technology, a field intelligent sensor and an unmanned aerial vehicle, and carrying out space-time alignment to form a comprehensive environment data set; and dynamically adjusting parameters of the crop growth model by using a Bayesian rule, evaluating the influence of environmental uncertainty on crops in combination with Monte Carlo simulation, and providing yield prediction with a confidence interval. Based on the prediction, a particle swarm optimization algorithm is applied to formulate management schemes such as irrigation, fertilization, pest control and harvesting opportunities, and meanwhile, a multi-objective optimization strategy is adopted to balance economic benefits and environmental protection. After the scheme is implemented, the crop growth response is monitored in real time so as to reinforce learning and automatically adjust management measures, and precise agricultural management is realized. According to the technical scheme provided by the embodiment of the invention, the crop management precision and efficiency are improved.

The invention discloses a strip-shaped compound planting mode water and fertilizer zoning management method and system, and relates to the technical field of modern agriculture, and the method comprises the following steps: installing a sensor network in a field, collecting data through a soil moisture sensor, an intelligent water meter and an unmanned aerial vehicle multispectral camera, threshold values are set according to the water demand and the fertilizer demand in the crop growth cycle to judge fertigation, crop demands are predicted by applying multiple linear regression and a random forest algorithm, a fertigation plan is optimized, the growth trend is analyzed, the yield potential is evaluated, the influence of the irrigation level is researched, and an irrigation strategy adjustment suggestion is provided. The system collects field data through an integrated sensor network, accurately sets an irrigation and fertilization threshold value, predicts crop demands by using an advanced algorithm, optimizes a water and fertilizer management plan, effectively analyzes a growth trend and evaluates yield potential, provides a scientific basis for irrigation strategy adjustment, and significantly improves modern agricultural production efficiency and resource utilization efficiency.

The invention relates to the technical field of water and fertilizer control, in particular to a water and fertilizer integrated control system and method based on the Internet of Things. The method comprises the following steps of obtaining environment measured data, historical environment data and regional geographic information of a farmland region, performing spatial modeling and time sequence learning on the farmland region, and constructing a farmland digital twinborn model; simulating the state of an area without sensors by using a farmland digital twinborn model to obtain virtual sensing node data; collecting multispectral image data of crops, and extracting physiological feature data of the crops; and constructing a crop physiological state model by utilizing the environment measured data, the virtual sensing node data and the crop physiological feature data, and generating crop physiological state evaluation data. Through multi-source data fusion and three-dimensional visualization integration, data-driven accurate regulation and control and whole-process intelligent management of the water and fertilizer integrated system are realized, and the intelligent level of irrigation and fertilization and the resource utilization efficiency are comprehensively improved.

The invention discloses a non-point source pollution control and ecological agriculture decision-making method based on reinforcement learning, and relates to the technical field of new-generation information. The method comprises the steps that meteorological parameters, soil parameters and crop growth parameters are collected through a farmland Internet of Things system, and historical management data in the crop growth process and water quality monitoring information of surface runoff are collected to serve as original data; preprocessing the original data to construct a multi-modal data set; constructing an ecological agriculture multi-modal reinforcement learning model based on the multi-modal data set; integrating the ecological agriculture multi-modal reinforcement learning model to an agricultural intelligent decision-making platform, so that the ecological agriculture multi-modal reinforcement learning model is coupled with the agricultural intelligent decision-making platform; and an agricultural intelligent decision-making platform is utilized to issue operation instructions to irrigation, fertilization and pesticide application equipment so as to realize non-point source pollution management and control and ecological agriculture decision-making. Through a machine learning algorithm and real-time data analysis, many limitations of traditional ecological agriculture are overcome.

The invention relates to the technical field of agricultural production, and in particular to a sensor-based real-time monitoring system for the growth status of apricot and plum. A plurality of sensors are arranged to collect key growth status data in an apricot and plum planting area in real time. A data processing module is used to process the growth status data. A growth model construction module uses a long short-term memory network to construct an apricot and plum growth status prediction model, and predicts the growth trend, health status and potential risks of the apricot and plum in real time. An abnormality detection and early warning module compares the real-time data with the model prediction result, identifies abnormal situations in time and issues an early warning to a user. An irrigation and fertilization decision module generates an optimal irrigation, fertilization and environmental regulation strategy. A control execution module automatically regulates related equipment. A visualization module displays monitoring data, prediction results, early warning information and decision strategies. The invention significantly improves the economic benefits and sustainability of apricot and plum planting.

The invention discloses a traditional Chinese medicinal material standard base intelligent irrigation and fertilization method based on the Internet of Things and a decision making system, and relates to the technical field of agricultural informatization. Through multi-source data acquisition and intelligent analysis, the limitation of an existing irrigation and fertilization method is solved, accurate decision making and resource optimization are realized, comprehensive data are acquired by utilizing a soil moisture content sensor, a meteorological station and plant image acquisition equipment, and by combining principal component analysis, a long-short-term memory neural network and a block chain technology, the intelligent irrigation and fertilization method is realized. According to the system, the water and fertilizer requirements are accurately predicted, an irrigation and fertilization scheme is optimized, data credibility and traceability are ensured, meanwhile, real-time control and collaborative operation of equipment are achieved through edge calculation and a wireless sensor network, the resource utilization efficiency is improved, the production cost is reduced, and scientificity and sustainability of traditional Chinese medicine planting are remarkably improved.

The invention discloses insect prevention, irrigation and fertilization integrated equipment based on vegetable greenhouse planting. The insect prevention, irrigation and fertilization integrated equipment comprises a walking frame, a lifting mechanism, an inclination angle adjusting mechanism and an operation mechanism. The lifting mechanism is installed on the walking frame, and the dip angle adjusting mechanism is connected with the lifting mechanism and ascends and descends along with the lifting mechanism. In the operation mechanism, an assembling support is matched with the inclination angle adjusting mechanism, and a main folding and unfolding support is installed on the assembling support in a sliding mode. The alignment adjusting assembly is in power connection with the main folding and unfolding support. And the folding and unfolding adjusting assembly is in power connection with the auxiliary folding and unfolding supports. The driving assembly is in power connection with the alignment adjusting assembly and the folding and unfolding adjusting assembly; the spraying assembly comprises a nozzle, a liquid supply connecting pipe and a scissors fork type mechanism, the scissors fork type mechanism is mounted on the main and auxiliary retractable brackets, the liquid supply connecting pipe is uniformly assembled on the scissors fork type mechanism, and the nozzle is connected to the liquid supply connecting pipe. The production efficiency of greenhouse vegetables can be effectively improved, the cost is reduced, the resource waste is reduced, and the requirements of efficient, energy-saving and sustainable agricultural development are met.

A fertigation system having water supply and irrigation lines to supply a mixture of at least one fertilizer and water to a desired soil region includes: at least one soil sensor (211, 212, 212), wherein the at least one soil sensor (211, 212, 212) is placed under a surface region (203) of the soil and is configured to measure a concentration of the at least one fertilizer or components thereof in the soil over time; and a supply unit (100) for storage of the fertilizer and water, and for mixing of the fertilizer to a desired dilution within the water; and a controller (108) that is operatively connected to the at least one soil sensor (211, 212, 212) and the supply unit (100). The controller (108) is configured to direct an irrigation profile of mixed water and fertilizer delivered from the supply unit (100) to the soil, to thereby maintain a constant value of at least one soil parameter over time.

The invention belongs to the technical field of agricultural supervision, and particularly relates to an intelligent agricultural planning decision-making system based on the Internet of Things, which comprises a planting plan decision-making unit, a resource allocation decision-making unit, an irrigation and fertilization monitoring unit, an agricultural planting management and analysis unit and an agricultural management and control terminal, planting plan decision-making information is generated through the planting plan decision-making unit to improve planting benefits, and monitoring analysis of the resource distribution decision-making unit and the pest and disease damage monitoring decision-making unit is beneficial for achieving precise irrigation and fertilization and timely preventing and treating pest and disease damage. The irrigation and fertilization monitoring unit analyzes the nutrient water content suitability abnormal performance of the corresponding area in the detection period, enhances subsequent irrigation and fertilization supervision when an irrigation and fertilization alarm signal is generated, and comprehensively evaluates the planting management performance of the corresponding area when an irrigation and fertilization qualification signal is generated; and subsequent planting supervision is enhanced when the planting management alarm signal is generated, so that the growth of crops in corresponding areas is ensured, and the intelligent level is high.

The invention discloses a corn irrigation and fertilization decision-making method and system based on future meteorological data, and relates to the technical field of agricultural informatization and intelligent agriculture, and the method comprises the steps: constructing a future meteorological prediction model based on an Informer + TSLANet + TimeBlock combined deep learning network; performing long-time sequence multi-dimensional feature extraction and long-term dependency relationship capture on historical meteorological data by using the model, and predicting to obtain future meteorological data; corn yield prediction is carried out through a DSSAT model, then a Monte Carlo + NSGA-III double-layer combination multi-objective optimization algorithm is utilized to formulate a corn irrigation and fertilization scheme, and an optimal irrigation and fertilization scheme is obtained after optimization. According to the method, the characterization capability of the future meteorological prediction model is enhanced, the accuracy of future meteorological data prediction is improved, and the accuracy and foresight of corn yield prediction and irrigation and fertilization decision prediction are further improved.

The invention provides a wheat planting drip irrigation device. The wheat planting drip irrigation device comprises a wheat field monitoring sensor device, a water source tank body, a water and fertilizer storage barrel body, a gravel filter, a control all-in-one machine, remote control equipment, a first constant-pressure variable-frequency pump, a second constant-pressure variable-frequency pump, a drip irrigation belt winding device, a drip irrigation soft belt body, a water and fertilizer mixing flow dividing pipe, a regulation and control valve, a flow dividing connecting pipe and a top end plug cap. According to the drip irrigation device and method for wheat planting, through intelligent management and precise control over farmland irrigation and fertilization, the water and fertilizer utilization rate is increased, the agricultural production cost is reduced, and green development of agricultural production is promoted; according to a preset irrigation and fertilization rule or a real-time data analysis result, the water and fertilizer proportion can be automatically adjusted, irrigation and fertilization schemes are automatically adjusted, and the irrigation and fertilization schemes are accurately conveyed to the roots of wheat crops through an irrigation pipeline network; the irrigation amount and the fertilization amount are accurately controlled, synchronous supply of water and fertilizer is ensured, and the utilization efficiency of resources is effectively improved.

The invention relates to the technical field of fertilization and irrigation regulation and control, and discloses a fertilization and irrigation two-way regulation and control system under water demand and fertilizer demand coupling modeling, and the system constructs the fertilization and irrigation two-way regulation and control system based on the water demand and fertilizer demand coupling modeling. The multi-source data acquisition module is used for acquiring soil, crop growth period and meteorological data through a layered soil sensor, crop image acquisition equipment and a meteorological acquisition point; the water and fertilizer scheme generation module calculates irrigation amount, fertilization type and dosage based on data, and adjusts intervals in combination with temperature; the operation execution module controls the operation of the irrigation and fertilization equipment and records the state; and the data correction module compares the sensor with the sample data to generate a correction scheme. The system realizes accurate regulation and control through a closed loop of data acquisition, scheme generation, execution and correction, simultaneously covers equipment state monitoring and early warning, and ensures efficient fertilization and irrigation to adapt to crop requirements.

The invention relates to the technical field of agricultural irrigation, and discloses an intelligent agricultural water-saving irrigation and fertilization device which comprises an irrigation box, sliding rails, an irrigation assembly, a self-walking stirring assembly, a scraping and blowing assembly and a cylindrical filter part, the irrigation box is arranged on the two sliding rails, the cylindrical filter part is arranged in the irrigation box, the irrigation assembly is installed on one side of the irrigation box, and the self-walking stirring assembly is installed on the other side of the irrigation box. The spraying device is used for spraying water and fertilizer to crops; the self-walking stirring assembly comprises a rolling wheel, a rod type stirring piece and a driving piece. Water-soluble fertilizer water beads on the surfaces of seedlings are scraped and blown through the scraping and blowing assembly, water-soluble fertilizer attached to the surfaces of leaves and stalks of the seedlings can be effectively removed and shaken off to the bottoms of the seedlings, and therefore waste of the water-soluble fertilizer is reduced, meanwhile, the water-soluble fertilizer can directly act on root systems of the seedlings and is fully absorbed by crops, and the water-soluble fertilizer can be applied to the roots of the seedlings. The utilization rate of the water-soluble fertilizer is increased, and the problem of volatilization of nutritional ingredients caused by strong quick-acting property and short lasting period of the water-soluble fertilizer is reduced.

The invention discloses a control system and a control method for water and fertilizer integrated irrigation, and relates to the technical field related to irrigation, and the system comprises a data collection module which is used for collecting soil moisture content data and crop growth stage data; the water and fertilizer demand analysis module is used for performing water and fertilizer demand analysis and outputting soil water and fertilizer demand indexes in a preset irrigation time zone; the water and fertilizer loss compensation module is used for compensating the soil water and fertilizer demand index and outputting an irrigation target and a fertilization target; the mixing completeness optimization module is used for executing analysis and optimization of water and fertilizer mixing completeness; and the irrigation control module is used for controlling the water and fertilizer integrated irrigation device to perform water and fertilizer integrated irrigation on the preset irrigation area. The technical problem that in the prior art, due to the fact that the soil moisture content, the crop growth stage and weather factors cannot be comprehensively considered, the irrigation and fertilization precision and the water and fertilizer resource utilization efficiency are insufficient is solved, and the technical effect of improving the irrigation and fertilization precision and the water and fertilizer resource utilization efficiency is achieved.

The invention relates to a liquid fertilizer control method based on EDBKA-PID, and a soil testing and formulated fertilization system and method. The liquid fertilizer flow control method based on the EDBKA-PID comprises the following steps: S10, calculating the deviation between a target fertilization amount and an actual fertilization amount, and transmitting the deviation to a PID controller; s20, the PID controller carries out calculation according to the deviation, and an output signal is obtained; and S30, according to the output signal, the fertilizing device adjusts the flow rate of the liquid fertilizer in the fertilizer outlet pipeline through a frequency converter and an asynchronous motor, so that the accurate control of the flow rate of the liquid fertilizer is realized. According to the liquid fertilizer control method based on EDBKA-PID, and the soil testing and formulated fertilization system and method, the problems that fertigation depends on experience, and the liquid fertilizer flow regulation and control precision is not high in the prior art are solved.

The invention relates to the technical field of water and fertilizer fertilization, and discloses a Maoujin sand water and fertilizer coupling balance fertilization device which comprises a water and fertilizer storage mechanism with mixing and feeding functions, a U-shaped fertilizer supply pipe, a water and fertilizer unloading assembly with self-locking and mixing functions, a conveying slide way, a fertilization moving assembly with a self-walking function and a fertilization mechanism. The U-shaped fertilizer supply pipe is arranged on the Maoujin sand land through a plurality of supporting rods. According to the water and fertilizer coupling balanced fertilization device for the Maowu sandy land, when green plants are irrigated, the green plants are irrigated by pre-recording the positions of the survival green plants, mixing water and fertilizer for providing vegetation absorption in the water and fertilizer box and moving the fertilization moving assembly on the conveying plate at a fixed point; the device is high in automation degree, excessive water and fertilizer cannot be wasted, the water and fertilizer are in a flowing state all the time in the irrigation process, the mixing effect of the water and fertilizer is better, and growth of vegetation is better facilitated.

The invention discloses an irrigation and fertilization optimization method and device for corn and soybean intercropping and a storage medium. Relates to the technical field of fertigation optimization. The method comprises the following steps: acquiring historical illumination intensity information of a first area at a current time point; soybeans are planted in the first area, and corn is planted in the second area close to the first area; the first area comprises at least two sub-areas which are sequentially arranged in the direction away from the second area; the historical illumination intensity information comprises historical illumination intensity information of all sub-regions; according to the historical illumination intensity information, utilizing a neural network model to determine illumination intensity prediction information of each sub-region within a preset time after the current time point; and determining the fertigation scheme of each sub-region at the current time point from the fertigation scheme set according to the illumination intensity prediction information. The technical problem that the yield of the intercropped soybeans is seriously affected due to the fact that the shading effect of the corn on the soybeans is not considered in an irrigation and fertilization scheme in a corn and soybean intercropping mode is solved.

The invention relates to the technical field of agricultural irrigation, and particularly discloses an intelligent agricultural water and fertilizer integrated irrigation system, which comprises an environment and crop state sensing network used for collecting soil, weather and crop phenotype data; the multi-source data fusion and demand analysis engine is used for associating data and analyzing water and fertilizer demands of individual crops; the dynamic decision-making unit based on the crop growth model is used for generating a partition variable irrigation and fertilization instruction through rolling optimization; and the partition variable execution mechanism is used for accurately executing the differentiated instructions. By means of the scheme, personalized precise water and fertilizer management of different crops in the field is achieved, the water and fertilizer utilization efficiency is remarkably improved, and balanced growth of the crops is promoted.

The invention discloses a large-scale irrigation and fertilization system optimization method based on a remote sensing leaf area index, and the method comprises the steps: calibrating crop parameters of a field scale crop model based on field test data; then, by using an assimilation algorithm based on the remote sensing LAI, determining sensitive crop parameters of a regional scale, and verifying the rationality of determining the regional crop parameters by using the remote sensing LAI through regional crop growth simulation; and finally, constructing a regional scale crop model, and combining the regional scale crop model with a multi-target genetic algorithm to optimize the regional INS of different typical rainfall years. The regional INSs established by estimating regional crop parameters based on remote sensing data can effectively guide irrigation and nitrogen fertilizer application plans, the utilization efficiency of agricultural resources is improved, and an important reference is provided for regional agricultural management.

The invention relates to the field of fertigation, in particular to a novel fertigation and plant growth monitoring all-in-one machine which evaluates the change period of monitoring data according to initial monitoring data of a plant growth monitoring data acquisition module. Obtaining a first offset degree according to the difference between the plant growth monitoring time sequence data window and the change period evaluation result of the monitoring data; according to the first offset degree, performing optimization evaluation on the trend difference between the plant growth monitoring time sequence data windows, and obtaining an optimized distance measurement result; completing a clustering process according to the optimized distance measurement result; evaluating the abnormal degree of the plant growth monitoring time sequence data window according to cluster distribution in the clustering result; numerical optimization of the plant growth monitoring data is carried out according to an abnormal degree evaluation result of the plant growth monitoring time sequence data window, and an accurate result of the plant growth monitoring data is obtained, so that the precision of irrigation and fertilization demand evaluation of the all-in-one machine is improved.

The invention discloses a corn triangular final singling close planting high-yield cultivation mode and application, on the basis of single-row planting, the basic center row spacing is kept unchanged, plants on a single row are translated to two side positions at intervals to form a staggered small double row, every three adjacent plants are positioned according to a triangular layout, the transverse and longitudinal plant spacing between the plants is relatively increased, and the yield of corn seedlings is increased. The characteristic of random arrangement of plants in previous single-row close planting is changed, the plant spacing is more uniform, wide rows and small double rows serve as ventilation and lighting channels, the growth space of single corn plants is increased, the uniformity of corn groups is improved, reasonable irrigation and fertilization modes are adopted according to the small row spacing and the size of land parcels, and the water and fertilizer utilization rate is increased; according to the method, sufficient water and fertilizer conditions needed by corn growth are guaranteed, the uniformity of plants is further guaranteed, and the number of harvested effective ears is increased, so that on the basis of reasonable densification and in cooperation with a reasonable water and fertilizer management mode, the per unit area yield of corn can be remarkably increased, and the method is an optimal mode for implementation of corn per unit area yield increasing projects in China.

The invention relates to an irrigation and fertilization intelligent integrated device for asparagus planting, and belongs to the technical field of asparagus planting, the irrigation and fertilization intelligent integrated device comprises a device body, the top of the device body is fixedly connected with a feeding frame, and the top of the feeding frame is fixedly connected with a feeding box. According to the asparagus fertilizing device, the adjusting baffle plate is arranged, so that the switching effect of different fertilizer conveying paths and the temporary storage effect of fertilizers when the fertilizers are not used are improved and the requirements of the asparagus on different fertilizers are met when the asparagus is subjected to daily planting through the fertilizing device, and when one of the fertilizers needs to be conveyed through the first feeding channel, the adjusting baffle plate is used for adjusting the fertilizer conveying path; a first servo motor is started to drive a threaded sliding block to slide along the inner wall of a fixing groove through rotation of a threaded rod, a swing rod is driven to rotate when the threaded sliding block slides along the inner wall of a limiting groove, the swing rod rotates, an adjusting baffle is driven to conduct synchronous overturning motion, a feeding channel in the feeding frame conducts switching motion, and the feeding channel is switched to feed the feeding channel; the fertilizer adjusting and fertilizing efficiency of the fertilizing device is improved.

The utility model belongs to the field of water conservancy irrigation equipment, in particular to a water conservancy irrigation equipment. Although the existing irrigation equipment can adjust the height of the irrigation equipment, the angle and the spraying range of the nozzle cannot be adjusted, and the irrigation can only be sprayed on a high place, and the plane cannot be irrigated. At the same time, the plants planted in water conservancy construction to prevent soil erosion are irrigated and fertilized, and the integration of water and fertilizer cannot be achieved. The following scheme is proposed, which includes a base, the bottom four corners of the base are fixedly connected with foot brake wheels for moving the base, one side of the top of the base is fixedly connected with a push handle, and the top of the base is fixedly connected with a water storage tank. The utility model can mix fertilizer and water through a mixing mechanism to achieve water and fertilizer integration, and the angle and spraying area of ​​the spray pipe can be adjusted through the adjustment mechanism to make the spraying range wider.

The invention provides an AI-based agricultural service interaction data processing method and server, and the method comprises the steps: firstly obtaining an interaction instruction which is inputted by a target user in an agricultural service interaction scene and comprises a target crop growth data set, an environment index parameter set and user instruction information, and enabling the user instruction information to reflect the parameter adjustment demands of the growth data set; then user instruction information semantic features are coded to obtain an instruction feature coding result, combined features of the growth data set and the environment index parameter set are coded to obtain a combined growth feature coding result, the two are input into a pre-trained agricultural parameter adjustment model, and a matched adjustment parameter sequence is generated through a dynamic association module; and carrying out iterative optimization on the growth data set, generating an optimized crop growth parameter set, generating agricultural operation guidance information containing execution instructions such as irrigation, fertilization and pest and disease damage prevention according to the optimized crop growth parameter set, and realizing intelligent and accurate agricultural service interaction data processing.

The invention provides a cultivation method of ornamental small ginger, and relates to the field of plant cultivation, and the method comprises the following steps: tissue culture seedling cultivation: adopting a culture medium comprising a basic culture medium, a plant growth regulator, an organic additive, an antioxidant and trace elements for cultivation to obtain tissue culture seedlings. Performing potting cultivation: transferring the tissue culture seedlings into a potting container on which a mixed substrate is uniformly laid, and performing cultivation, wherein the mixed substrate comprises charcoal particles, modified zeolite particles, a mycorrhizal fungus inoculant, gelatin slow-release particles, fermented soybean meal and graphene modified cellulose; in the cultivation process, irrigation, fertilization and environment regulation and control are carried out regularly. According to the method, high-quality tissue culture seedlings are obtained by using a culture medium with specific components, and growth balance of ginger plants is adjusted and overgrowth of the plants is inhibited by adjusting a planting matrix and regulating and controlling a specific culture method, so that small potted ginger plants for ornamental use are obtained.

The invention discloses a method for promoting microbial balance and improving the ecological function of soil through straw returning, and relates to the technical field of agricultural soil improvement. In a raw material pretreatment link, microbial agents A and B are added and fixed in a biochar pore structure, and a good foundation is laid for subsequent field returning through operations of pyrolysis carbonization, biological enzyme addition, foliage spraying of a microbial activator and the like. During field returning operation, measures such as specific deep ploughing depth, straw covering thickness and soil improvement agent adding are adopted according to different soil characteristics. In the fertigation process, the relative water content of soil is accurately controlled, fertilization is conducted according to the specific nitrogen-phosphorus-potassium proportion, and drip irrigation and spray irrigation modes are combined. The change of soil microbial communities is monitored by a high-throughput sequencing technology every 15 days, and the soil oxidation-reduction potential is measured by an oxidation-reduction potential instrument and is regulated and controlled in time. The problem of traditional straw returning is effectively solved, and the soil ecological function and the crop yield are remarkably improved.

The invention relates to the technical field of soil treatment, in particular to an integrated saline grainfield soil improvement and remediation method. According to the method, precise irrigation, concealed pipe drainage, salt-tolerant crop planting and bioremediation technologies are comprehensively applied, and systematic treatment of the salinized soil is achieved. Precise irrigation dynamically regulates and controls the leaching depth and frequency on the basis of real-time soil salinity and moisture data, the underground water level is intelligently controlled in combination with an underground pipe drainage network, salt accumulation is effectively reduced, and water resource waste is avoided; according to the salt-tolerant crop and green manure rotation mode, salt damage is reduced through plant salt absorption and root system nitrogen fixation, soil organic matter accumulation and microbial community reconstruction are promoted through application of a microbial agent and biochar, and a sustainable soil improvement mechanism is formed. The intelligent monitoring system integrates multiple types of sensors, collects key indexes such as salinity, nutrients and pH values in real time, predicts the salinization trend and regulates and controls irrigation, fertilization and drainage equipment in a linkage mode, full-process automatic management is achieved, and the management precision and efficiency are remarkably improved.

The invention discloses a corn water and fertilizer integrated irrigation and fertilization method and device based on artificial intelligence. The method comprises the following steps: acquiring a corn image of a corn planting area shot by an unmanned aerial vehicle on a predetermined date; determining a growth period vector corresponding to the growth period of the corn according to the corn image by using a preset growth period determination model based on artificial intelligence; determining a growth state vector corresponding to the growth state of the corn according to the corn image by using a preset growth state determination module based on artificial intelligence; determining the component proportion of water and fertilizer required by the corn planting area according to the growth period vector and the growth state vector by using a preset water and fertilizer component determination model based on artificial intelligence; and mixing and adjusting a plurality of preset water and fertilizers according to the water and fertilizer component proportion by using a water and fertilizer integration method, and irrigating and fertilizing the corn planting area by using the mixed and adjusted water and fertilizers.

The invention discloses a big data model-based accurate quantitative biogas slurry sprinkling irrigation water and fertilizer integrated device, which comprises an integrated box, a liquid mixing tank body is arranged in the integrated box, and ingredient temporary storage tanks are symmetrically arranged on the two sides of the liquid mixing tank body; the liquid mixing tank body adopts a layered design, the primary mixing disc rack is matched with the aeration valve, and the mixing uniformity of biogas slurry and clear water is improved by virtue of spiral stirring and gas aeration; the pipe column and the pump are linked, and the conical structure of the bottom sealing disc reduces impurity deposition; the variable-speed ring sleeve supports dual-mode switching, the stirring rotating speed is automatically adjusted according to the viscosity of the biogas slurry, energy consumption is reduced, the multi-source data analysis module combines soil and crop models, the biogas slurry application amount and the clear water ratio are dynamically calculated, the fertilization amount error rate is controlled, and the separate irrigation risk prediction module predicts the blockage risk and the equipment fatigue coefficient based on a fuzzy logic algorithm. And the pipeline blocking rate, the equipment failure rate and the maintenance cost are reduced.

The invention discloses adjustable precise fertilization and irrigation equipment, and relates to the technical field of agricultural irrigation and fertilization, the adjustable precise fertilization and irrigation equipment comprises a batching tank and a liquid storage tank, a partition plate is fixedly arranged in the batching tank, four material storage boxes are fixedly arranged in mounting holes in the upper end of the batching tank, and material distribution rollers are rotatably arranged in communicating cylinders; and the discharging ends of the multiple communicating cylinders communicate with the interior of the premixing box, a premixing mechanism is arranged in the premixing box, adjusting mechanisms are arranged in the material distributing rollers, and a material mixing mechanism is arranged in the material mixing chamber. By arranging the four storage boxes, different types of granular fertilizers can be conveniently stored, adjusting mechanisms are arranged in the material distributing rollers, so that the capacity of the material distributing grooves can be conveniently adjusted according to the use proportions of the different types of granular fertilizers, and by arranging the premixing box, the granular fertilizers in the premixing box can be premixed; therefore, the mixing uniformity of the liquid fertilizer is improved.