307 results about "Fertigation" patented technology

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 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 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 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 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 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 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.

The invention discloses a self-adaptive drip irrigation control system and method fused with a soil solution optimal model, and belongs to the field of agricultural irrigation. The system integrates a layered soil and soil solution monitoring module, a weather and crop growth monitoring module, a data acquisition and management module, an irrigation and fertilization execution module and an operation feedback module. Through deep-buried multi-layer soil sensing and solution collection, real-time monitoring of key parameters such as moisture and nutrients of different soil layers is achieved, and a dynamic target is set in combination with crop growth requirements and meteorological data. The system adopts a soil solution optimal model, performs dynamic balance analysis on monitoring data and target parameters, introduces a multi-factor linkage and layered regulation strategy, intelligently generates an optimal water and fertilizer scheme and accurately executes the optimal water and fertilizer scheme. Automatic recording and quality feedback are achieved in the whole process, model self-learning and scheme optimization are supported, the crop nutrient utilization rate is increased, resource waste is reduced, and efficient and intelligent precision agricultural water and fertilizer management is achieved.

The invention discloses an automatic irrigation fertilizer applicator for corn planting, and relates to the technical field of corn planting, the automatic irrigation fertilizer applicator comprises a mounting rack, the top of the mounting rack is fixedly provided with a material storage box, the bottom of the material storage box is fixedly provided with a pressure sensor, and the surface of the material storage box is provided with a material guide port; a connecting frame is fixedly mounted in the mounting frame, and a connecting frame is fixedly mounted at the top of the power output part; and the protective tillage piece is fixedly mounted on the side of the bottom of the mounting frame. According to the automatic irrigation fertilizer applicator for corn planting, a power output part is connected with walking equipment through a worker, and fertilizer is discharged from a discharging assembly, falls on a fixed annular plate, slides towards an arc-shaped plate along the radian of the fixed annular plate and is thrown into soil through the arc-shaped plate; when the walking equipment moves, the power output part drives the ploughing part to rotate, and deep soil is ploughed out so that fertilizer can be added into deeper soil during fertilization.

The invention relates to the technical field of water and fertilizer all-in-one machines, and discloses an automatic intelligent fertilizer preparation type water and fertilizer all-in-one machine which comprises a base, a water and fertilizer machine arranged on the base, a multi-stage valve pipe arranged on the base, a fertilizer applying barrel arranged on the base, a driving motor arranged on the fertilizer applying barrel, a reciprocating screw rod arranged in the fertilizer applying barrel and a fertilizer box arranged in the fertilizer applying barrel. According to the device, rapid fusion of various fertilizers in the fertilization barrel can be accelerated, the subsequent fertilization uniformity can be improved, the distribution uniformity of the various fertilizers in water can be improved, the water and fertilizer proportioning speed of the device is accelerated, the fertilizers can enter the fertilization barrel and are fused with water, and the fertilization efficiency is improved. The situation that due to the fact that too much fertilizer is discharged, water and fertilizer fusion is not uniform, part of fertilizer cannot be dissolved, and follow-up water and fertilizer irrigation blockage is caused is avoided, the fertilizer preparation precision of the device is improved, and the follow-up irrigation and fertilization efficiency is improved.

The invention provides a three-dimensional intelligent maintenance device and method for grape planting, and relates to the technical field of fertigation, the three-dimensional intelligent maintenance device comprises an adjusting table, a center rod is rotatably matched with the top of the adjusting table, two threaded rails are arranged on the peripheral side face of the center rod, and threaded blocks are in threaded fit with the peripheral side faces of the two threaded rails; a folding mechanism is arranged between the two threaded blocks in a matched mode. By moving the irrigation base towards the other side of the grape plant, fertilization on the leaf surface of the other side of the grape plant is facilitated, double-side fertilization on the grape plant by the device is realized, the nutrition of a tree body is quickly supplemented, and particularly, the fruit quality and yield can be remarkably improved in a key growth period; the range and position of the plurality of nozzles for irrigating the leaf surfaces of the grape plants are further accurately controlled, the irrigation utilization rate of the nozzles is improved, and the waste of fertilizer is reduced.

The invention discloses an efficient fertigation decision support method and system for protected tomatoes, particularly relates to the technical field of agricultural precise irrigation, and is used for solving the problems of supply lag and resource waste caused by the fact that an existing balanced fertilizer supply mode cannot respond to a short-time fertilizer demand peak in a fruit expansion period. The method comprises the following steps: acquiring the fruit diameter and generating a phosphorus pulse starting signal when the fruit diameter reaches an expansion threshold value; synchronously measuring the thickness change gradient of the root surface ion diffusion boundary layer, and marking a boundary layer correction coefficient according to the abrupt change rate; simulating a rhizosphere microcosmic phase field to calculate curvature distribution of a phosphate diffusion path, and generating a phase field topological entropy value; on the basis of a phosphorus pulse starting signal, a phase field topological entropy value and a boundary layer correction coefficient, calculating an optimal phosphate fertilizer injection time point through a quotient query conversion table; and a phosphate fertilizer injection instruction containing a fertilizer code is output to the drip irrigation execution device at the optimal time point, so that the soil nutrient immobilization loss is effectively reduced.

The invention provides a multi-modal data driven farming decision-making system based on a large model. According to the system, the accuracy of farming decision making is improved through remote sensing images and field meteorological sensor data. Through integration of multi-modal data, real-time monitoring and accurate decision support of farming operation are realized, and the method aims at overcoming deviation of single-modal data decision and ensuring crop growth and yield. The specific construction process comprises the following stages: 1, collecting crop and farming historical data; 2, processing data, and constructing an agricultural database; thirdly, finely adjusting the multi-modal large model, setting cue words and optimizing the model; 4, processing daily data by using the fine-tuned model, and generating irrigation, fertilization and pest control decisions; fifthly, when the system detects early warning information, a user is notified in time; and 6, carrying out data analysis and reporting, and researching the crop growth trend and environment change. According to the method, multi-modal data are fully utilized, and powerful support is provided for accurate farming decision making.

The invention relates to a water and fertilizer integrated water and fertilizer ratio regulation and control device in the technical field of fertilization, and the device comprises a water and fertilizer regulation and control mixing assembly and an irrigation fertilization assembly, the water and fertilizer regulation and control mixing assembly comprises a water and fertilizer mixing barrel arranged on a mobile vehicle, and the water and fertilizer mixing barrel comprises an outer barrel body and an inner barrel body arranged in the outer barrel body; the outer barrel body comprises an outer barrel and a middle barrel arranged in the outer barrel, a water cavity used for containing water is formed between the inner wall of the outer barrel and the outer wall of the middle barrel, the inner barrel body comprises an inner barrel used for containing fertilizer, the inner barrel is arranged in the middle barrel, a mixing cavity is formed between the outer wall of the inner barrel and the inner wall of the middle barrel, and when negative pressure is generated in the mixing cavity, the mixing cavity is communicated with the inner barrel. Water in the water cavity and the fertilizer in the inner barrel enter the mixing cavity to be mixed into water fertilizer. The device is high in water and fertilizer mixing efficiency, low in fertilizer caking probability and good in irrigation and fertilization effect.

The invention discloses a water-fertilizer-pesticide integrated sprinkling machine which comprises a supporting assembly, a sprinkling and drip irrigation execution assembly and a pesticide injection assembly, the supporting assembly comprises supporting legs and a fixing ring arranged in the middle of a sprinkling rod, the fixing supporting legs are rotationally connected into a groove, the sprinkling and drip irrigation execution assembly comprises a water tank, and the side wall of the water tank is connected with a water supply pipe. The bottom of the water tank is connected with a drain pipe, the end of the drain pipe is connected with a connecting valve, the connecting valve is connected with a first connecting pipe through a connecting hose, the first connecting pipe is connected with a spraying rod, the spraying rod is provided with a spraying valve and a drip irrigation valve, the end of the spraying rod is connected with a pipeline, and the pipeline is sequentially connected with a bent pipe and a pulse nozzle. A conical pipe is connected to the spraying rod, multiple sets of through holes are formed in the side wall of the conical pipe, and the medicine injection assembly comprises a medicine adding opening formed in the top of the water tank. Therefore, through cooperative work of multiple assemblies, precise irrigation, fertilization and pesticide application are achieved, operation is easy and convenient, manpower is saved, the equipment stability is enhanced, and the comprehensive benefits of agricultural production are improved.

The invention discloses an intelligent pepper seedling cultivation method based on environmental perception and precise management, and relates to the technical field of intelligent agriculture Internet of Things, and the method comprises the steps: collecting a seedling environment factor set in real time through a sensor network, and generating a quantitative environment state evaluation matrix and an early warning signal through time-space fusion and abnormality diagnosis; on the basis of comparison of the matrix and preset ideal environment models of different growth stages of the peppers, a multi-dimensional environment regulation and control instruction set containing regulation types, intensity and execution time sequences is generated, and an execution mechanism is driven to conduct ventilation, light supplement, irrigation, fertilization and temperature control operations; and synchronously collecting a pepper seedling growth phenotype data set, carrying out correlation analysis on the pepper seedling growth phenotype data set and the environment state evaluation matrix to establish an environment-phenotype dynamic response model, and feeding back an optimization regulation and control instruction set according to the model. According to the method, overall quantitative evaluation of the seedling raising environment and self-adaptive accurate regulation and control based on crop growth feedback are realized, and the seedling raising accuracy and efficiency are improved.

The invention discloses a multifunctional modular robot suitable for low crop maintenance, and relates to the technical field of agricultural machinery. In the prior art, low crop planting is largely dependent on manual operation such as irrigation, fertilization and pest control, efficiency is low, and it is limited by continuous rising of labor cost; a traditional pest control method depends on chemical pesticides, the planting cost is increased, and potential threats are caused to the ecological environment. The system comprises a mobile robot and an end effector; the mobile robot comprises a mobile chassis and a mechanical arm, the mechanical arm is mounted on the mobile chassis, various end actuators are arranged at the tail end of the mechanical arm, and each end actuator comprises a spraying unit, a probe unit and a pruning and picking unit; the spraying unit is used for spraying fertilizer and pesticide, the probe unit is used for monitoring soil parameters, and the pruning and picking unit is used for pruning branches and leaves and picking crops. The method is used for low crop maintenance.

The invention relates to the field of agricultural intelligent irrigation, and particularly discloses a water and fertilizer integrated intelligent greenhouse control system, which comprises an environment sensor module, a central controller, a water and fertilizer integrated machine and a drip irrigation system, and is characterized in that the central controller processes and analyzes real-time data transmitted by the environment sensor module and formulates a regulation and control strategy; the water and fertilizer all-in-one machine comprises a mixing valve, a peristaltic pump and a control panel, the dropper irrigation system is connected with the peristaltic pump, and the central controller generates a control signal u (t) by using a preset target soil moisture value and an actually measured soil moisture value collected by the environment sensor module and adopting a PID control algorithm so as to adjust the output of the peristaltic pump in the water and fertilizer all-in-one machine. The peristaltic pump is used for accurately controlling the water and fertilizer mixed liquid, uniform irrigation is achieved through the dropper irrigation system, the problems that existing greenhouse irrigation and fertilization are separated, resources are wasted, and control is inaccurate are effectively solved, and the agricultural production efficiency and the crop yield are remarkably improved.