130 results about "Precision irrigation" patented technology

The invention discloses a saline-alkali soil dynamic precise irrigation method based on a water-salt-carbon flux coupling model, and relates to the technical field of saline-alkali soil improvement and precise irrigation, and the method comprises the following steps: dividing soil into a surface layer, a middle layer and a deep layer, building the coupling model based on a Darcy law, a convection-dispersion equation and a first-order dynamic model, and simulating a water-salt-carbon flux dynamic state; collecting data such as soil water content, conductivity and organic carbon content through a layered sensor network, and inputting the data into the model after cleaning and fusing; the irrigation time, the irrigation amount and the water quality are optimized through a genetic algorithm in combination with the crop growth period requirements; irrigation is executed through an intelligent valve and a variable frequency water pump, and model parameters are adjusted based on real-time monitoring feedback. According to the method, multi-element cooperative regulation and control of saline-alkali soil irrigation are achieved, the soil ecological process can be accurately simulated, the water resource utilization efficiency is improved, the soil environment is improved, and crop yield increase is promoted.

The invention relates to the technical field of intelligent gardens and precise irrigation, and particularly discloses an intelligent irrigation monitoring method and system. According to the method, a multi-source sensor array is deployed, Kalman filtering is adopted to fuse environmental data, and a three-dimensional state vector input reinforcement learning model is constructed to generate an irrigation decision; predicting a vegetation water demand by combining a gradient lifting decision tree, forming a graded irrigation strategy and converting the graded irrigation strategy into a water pump control instruction; soil humidity feedback data are collected in real time, decision model parameters and filtering rules are dynamically adjusted, and closed-loop optimization is achieved. Through multi-source data fusion and a self-adaptive decision-making mechanism, the irrigation precision and the water resource utilization rate are remarkably improved, meanwhile, the response capacity of the system to the vegetation growth dynamic state and the environment change is enhanced, and the beneficial effects of optimization process closed loop, decision dynamic adaptation and controllable resource consumption are achieved.

The invention discloses a unit area irrigation water consumption estimation method and system based on multi-source data fusion, and relates to the field of irrigation water consumption estimation. Multi-source heterogeneous data such as remote sensing images, meteorological data, soil humidity and crop growth information are fused, and observation and model errors are reduced through data assimilation; estimating crop evapotranspiration under an energy balance principle; estimating daily-scale irrigation water consumption by adopting a water balance method; a crop actual irrigation area identification model based on deep learning is introduced, actual irrigation areas of different crop types are effectively distinguished, and the influence of temporal and spatial changes on irrigation efficiency is dynamically reflected. According to the method, high-precision and rapid estimation of the comprehensive unit area irrigation water consumption of a single crop and multiple crops on different regional scales can be realized, the timeliness and accuracy of irrigation water quota evaluation are remarkably improved, and the method has strong adaptability to climate change, soil difference and crop diversity and is suitable for popularization and application. Powerful technical support is provided for precise irrigation and intelligent water conservancy management.

The invention discloses a method for interplanting konjak under a coffee forest, and belongs to the technical field of konjak planting. The problems of konjak yield reduction and irrigation contradiction caused by water and nutrient competition between coffee trees and konjak root systems are solved. Isolation ditches are dug between rows of coffee trees, a root system isolation plate is inserted to separate two crop root system areas, a black plastic mulching film is laid to inhibit weeds and preserve soil moisture, cross-shaped planting holes are formed to position konjac seeds, a drip irrigation belt is arranged in a coffee area, a micro-spraying belt is arranged in a konjac area, and konjac tubers are dug along the outer side of the isolation plate during harvesting. Physical isolation root competition and layered precise irrigation are achieved, the disease and pest spreading risk is reduced, and the land utilization efficiency and the konjak commodity rate are improved.

The invention discloses a winter wheat multi-target irrigation dynamic optimization method based on a crop model and artificial intelligence, and belongs to the field of agricultural intelligent irrigation optimization and decision, the method comprises the following steps: preprocessing meteorological data, soil data, crop parameter data and irrigation management data to obtain standardized input data; carrying out coupling processing on the AquaCrop model and the PyFAO56 model based on the standardized input data to obtain final output of a coupling model; based on the final output of the coupling model, optimizing decision variables by adopting an NSGA-2 multi-objective optimization algorithm to obtain a Pareto optimal solution set; and sorting the candidate schemes in the Pareto optimal solution set by combining a fusion strategy of an entropy weight method and a random forest algorithm to obtain a final irrigation strategy. According to the invention, through multi-objective optimization, objective weighting and machine learning intelligent evaluation, a novel precise irrigation scheme considering both yield and water efficiency is provided.

The invention discloses an irrigation district water distribution scheduling method and device and a medium, belongs to the field of irrigation district management, and aims to solve the problem that accurate irrigation cannot be uniformly and efficiently carried out, and the method comprises the following steps: determining a digital elevation model and a crop planting distribution diagram of an irrigation district; according to the digital elevation model and the crop planting distribution map, determining different irrigation subareas of the irrigation area, and a water delivery energy consumption coefficient, a crop suitability coefficient and a subarea water demand critical period of each irrigation subarea; constructing a water delivery energy matrix of the irrigation area according to the water delivery energy consumption coefficient of each irrigation subarea and the irrigation water demand in the irrigation period; determining a rotation irrigation group of the irrigation area according to the water delivery energy weight combination and the water delivery energy matrix of each irrigation subarea in the current irrigation period; and determining the irrigation time sequence of the rotation irrigation group according to the crop suitability coefficient of each irrigation subarea and the subarea water demand critical period. And water distribution in the irrigated area can be more efficiently and reasonably carried out.

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 relates to an intelligent fruit tree planting monitoring method and system, and belongs to the technical field of intelligent agriculture. According to the scheme, a multi-source sensor network is deployed to collect soil, crop and environment data, a salinity-moisture collaborative stress decision-making model is constructed, and parameters such as soil salinity, canopy temperature and weather forecast are deeply fused; dynamically generating a non-fixed precise irrigation instruction; meanwhile, a low-visibility robust vision algorithm is integrated, and it is ensured that fruits and diseases and pests can still be reliably recognized in severe weather; by establishing a collaborative scheduling mechanism, efficient linkage of water and fertilizer management, plant protection operation and farming operation is realized. According to the method, the technical span from single threshold judgment to multi-factor intelligent decision is realized, the utilization efficiency of water resources and fertilizers is effectively improved, the production cost is remarkably reduced, and the mode of fruit tree planting is promoted to be converted from traditional experience management to data-driven intelligent management.

The invention relates to the technical field of agricultural remote sensing and precise irrigation, in particular to a method and equipment for inverting leaf water potential of grapes before dawn based on multispectral remote sensing, and the method comprises the steps: measuring leaf water potential of representative grape plants in each planting test plot before dawn in different growth periods, and collecting canopy multispectral images in the noon period; preprocessing the remote sensing original image data; calculating a vegetation index; on the basis of the model fitting data set and the training feature set, constructing basic prediction models in different growth periods by adopting a unary linear regression algorithm, a multiple linear regression algorithm and a partial least square regression algorithm respectively; determining a PLSR inversion model according to the decision coefficient and the root-mean-square error; and carrying out pre-dawn leaf water potential prediction through the PLSR inversion model. Through the method, high-precision inversion of the water potential of the leaves before dawn based on the noon canopy multispectral data can be realized, and reliable technical support is provided for accurate management of vineyard moisture and intelligent irrigation.

The invention relates to the technical field of crop cultivation, and discloses a matched cultivation method for strong gluten wheat seed production and application thereof.The method comprises the steps that soil improvement before sowing is conducted, specifically, deep ploughing, organic fertilizer and compound fertilizer application and medium trace element supplement are conducted; then optimizing fertilization management, and applying a potassium fertilizer by nitrogen and sulfur combined application, adjusting a nitrogen fertilizer application strategy and applying the potassium fertilizer by stages; then an optimized sowing technology is implemented; then, precise irrigation and moisture regulation are conducted, the irrigation opportunity and times are optimized, and moderate deficiency of the soil is kept in a specific period; and finally, carrying out comprehensive pest control in parallel or in corresponding stages in the whole growth cycle. By integrating key measures such as soil improvement, scientific fertilization, fine seed close planting, precise irrigation and comprehensive plant protection, a set of synergetic and efficient strong gluten wheat seed production technology system is established, the seed yield and quality are remarkably improved, and the problems of unstable quality, low nutrient utilization rate, water resource waste, insufficient pest control and the like are solved.

The invention discloses an intelligent management method based on landscaping plant irrigation, and relates to the technical field of landscaping management, and the intelligent management method comprises the following steps: obtaining multi-source real-time data of a landscaping area, and based on terrain elevation data and plant physiological data, in each irrigation grid unit, carrying out the irrigation of the landscaping area; the method has the advantages that it is ensured that the units are accurately matched with the surface fluctuation and the plant water demand difference, in each grid, in combination with soil characteristics and meteorological data, the soil moisture migration simulation result and the plant physiological data are combined, and the plant moisture migration simulation result and the plant physiological data are combined to control the irrigation equipment to execute operation. According to the method, the soil moisture kinetic equation coupled with the root system water absorption function is used for finely simulating moisture migration, the problem of uneven local irrigation caused by terrain complexity and plant water demand space difference is effectively solved, the water resource space configuration precision is remarkably improved, and a scientific foundation is laid for accurate irrigation decision making.

The invention relates to the technical field of water conservancy irrigation, and discloses an intelligent precise irrigation system and method based on the Internet of Things and fuzzy control, and the system comprises a sensing and execution module which is used for collecting environment data and executing irrigation operation, and a platform application module which is used for receiving the environment data and executing the irrigation operation and comprises an environment data collection unit and an irrigation execution unit. The sensing and execution module is used for storing and analyzing data in the environment data acquisition unit and then generating an irrigation instruction, the platform application module comprises a data storage unit, a data analysis unit and a twin experiment unit, and the network transmission module is used for being in communication connection with the sensing and execution module and the platform application module. The system solves the problems that a traditional irrigation mode is serious in water resource waste, low in automation degree and poor in adaptability, and high efficiency, intelligence and automation of agricultural irrigation are achieved.

The invention provides an intelligent kiwi fruit irrigation method and system adopting distributed optimization control, and belongs to the field of intelligent control. The method comprises the steps of obtaining weather prediction data, initial irrigation parameters and expected growth vigor of kiwi fruits of a target area in a future time zone; environment zoning and kiwi fruit growth zoning are carried out to obtain a first zoning result and a second zoning result, and the first zoning result and the second zoning result intersect to obtain a target area zoning result; predicting the growth vigor to obtain a kiwi fruit growth vigor prediction result; and extracting a partition in which the kiwi fruit growth prediction result is inconsistent with the expected kiwi fruit growth, executing irrigation parameter optimization, obtaining distributed irrigation parameters, and executing kiwi fruit distributed irrigation control. The technical problems that in the prior art, kiwi fruit irrigation is low in intelligent degree, and precise irrigation cannot be conducted according to different regional environments and growth differences are solved, and the technical effects that the kiwi fruit irrigation intelligent level is improved, and distributed precise irrigation based on the regional environments and the growth differences is achieved are achieved.

The invention discloses a soil moisture content real-time remote monitoring method and system for precise irrigation, and the method comprises the steps: dividing unit planting fields according to the terrain, and arranging a soil detection device in each unit planting field; a network transmission device, an irrigation pipe network and an irrigation control system are laid; starting from extraction of soil moisture content information, an open-circuit automatic control system for starting and stopping an irrigation system according to preset time and a closed-circuit automatic control system for determining starting and stopping time of the irrigation system through sensor data feedback and software analysis are respectively established through wired control and wireless sensor network technologies; irrigation is implemented through fixed sprinkling irrigation, drip irrigation and infiltrating irrigation, so that an intelligent precise irrigation control network system is formed.

The invention discloses a water and fertilizer integrated drip irrigation and fertilization method and system for a bamboo forest based on soil detection, and belongs to the technical field of intelligent forestry and precise irrigation. According to the method, by arranging a soil multi-parameter sensor network, bamboo forest soil moisture and the content of key nutrients such as nitrogen, phosphorus and potassium are monitored in real time; based on the monitoring data, respectively calculating a deficit index reflecting the moisture condition and a demand index reflecting the multi-nutrient comprehensive demand degree; in combination with the current growth stage of the bamboo forest, dynamically determining the water demand of each irrigation and the application amount of the special fertilizer through an intelligent decision-making model, and accurately preparing a liquid fertilizer according to the actual deficit proportion of each nutrient; finally, according to the difference of water and fertilizer requirements of different areas in the land parcel, an irrigation system is controlled to achieve zoned variable precise fertilization. According to the method, collaborative intelligent decision and on-demand accurate supply of moisture and nutrients are realized, the utilization efficiency of water and fertilizer resources is remarkably improved, the labor cost and the environmental risk are reduced, and a complete technical solution is provided for modernization accurate management of the bamboo forest industry.

The invention relates to the technical field of agricultural planting equipment, in particular to a drip irrigation water and fertilizer integrated precise irrigation and fertilization device which comprises a protective pipeline, a rotating rod is rotatably connected to the interior of the protective pipeline, and a driving assembly is arranged on the protective pipeline and the rotating rod jointly; a storage groove is formed in the rotating rod, a placement groove is formed in the inner wall of the protection pipeline, a sliding hole is formed in the groove wall of the upper end of the placement groove in a penetrating mode, the storage groove protects the spray head during use and non-operation, and before operation, the spray head ejects and sprays out air to clean wind and sand on a path; the storage tank can be adjusted to be in butt joint with the placement tank by rotating the rotating rod, and uniform irrigation is completed through the nozzle after clean water is injected; the fertilization link depends on the storage tank with the fixed capacity, after quantitative fertilizer water is injected, the fertilizer water can be stably sprayed out by pushing the pushing assembly, accurate quantitative fertilization is achieved through repeated operation, and sand cleaning, clean water irrigation and quantitative fertilization can be conducted.

The invention discloses a central fulcrum shaft sprinkling irrigation mechanism capable of expanding a sprinkling track. The central fulcrum shaft sprinkling irrigation mechanism comprises a universal connecting assembly, an expansion angle arm, a steering assembly and a plurality of irrigation additional nozzles installed on the expansion angle arm. The first end of the universal connecting assembly is connected with the center support through the main rotating arm and communicated with the main pipeline, the second end of the universal connecting assembly is connected with the expansion angle arm, and the steering assembly is installed at the tail end of the expansion angle arm and supported on the ground. The differential-driven double-wheel independent steering assembly is adopted, differential motion is formed in real time according to the angle of the main rotating arm and the position feedback of the expansion angle arm, the spraying boundary is expanded from a circle to an approximate rectangle or polygon, the problem of corner blind areas is effectively solved, and the irrigation coverage rate and the land utilization rate are remarkably increased. The central fulcrum shaft main machine and the expansion angle arm are flexibly connected through the universal joint, torque can be buffered, the device adapts to terrains, the structure is compact and reliable, and an efficient and low-cost precise irrigation scheme is provided for a large rectangular farmland.

The present application relates to the technical field of agricultural drought monitoring and precision irrigation, and particularly relates to a crop water stress diagnosis method and system based on sunlight-induced chlorophyll fluorescence, which collects crop canopy oxygen absorption band spectral data through a hyperspectral sensor, and calculates sunlight-induced chlorophyll fluorescence intensity SIF values by using a fluorescence extraction algorithm. The SIF value of a non-water-stressed crop canopy is taken as a reference canopy SIF value, the difference between the SIF value of a to-be-measured crop canopy and the reference canopy SIF value is determined, then a relative SIF water deficit index SIFWDI is generated by combining a preset formula, a regression analysis model is used to establish a mapping relationship between the SIFWDI and a soil water deficit index to output a diagnosis report, a variable irrigation decision and early warning are triggered according to a stress level, and model parameter adaptive optimization is realized through a feedback mechanism. The system realizes non-destructive, real-time and high-precision water stress monitoring and irrigation management.

The utility model relates to the technical field of fruit tree planting, and discloses a large cherry water and fertilizer coupling root system layered irrigation device which comprises a tank body, a water inlet pipe and a first conveying pipe are embedded in the top of the tank body, the liquid inlet end of the first conveying pipe extends to the inner bottom of the tank body, and a filter box is fixedly installed on the outer wall of the tank body; a pump body is fixedly mounted at the top of the filter box, and the liquid inlet end of the pump body is communicated with the first conveying pipe. According to the large cherry water and fertilizer coupling root system layered irrigation device, water and fertilizer are conveyed into a filter box through a pump body and then conveyed to the root system position of a large cherry tree through a second conveying pipe, a transverse pipe, a pipe joint, a water distribution pipe and a drip irrigation pipe, and in the conveying process, humidity detection is conducted on soil layers with different heights of the root system through a humidity sensor; and then by opening the electromagnetic valves at the corresponding positions, water can be accurately irrigated to the root system parts at the corresponding heights, the effect of accurate irrigation is achieved, and the planting cost is reduced.

The present application relates to the field of intelligent agriculture and automation control technology, in particular to a rice field precision irrigation system based on a microcontroller, comprising: reconstruction of hydrodynamic benchmarks, collection of water level and meteorological data, construction of an ideal water level curve reflecting an undisturbed state; injection of interference simulation, generation of wind wave interference and siltation drift factors, synthesis of a simulated interference curve; double-track differential extraction, construction of parallel path calculation real residual vector and theoretical residual vector; correlation decision steps: perform cross-correlation analysis to distinguish between real water shortage and environmental noise, execute irrigation or maintenance instructions by the microcontroller; the present application realizes decoupling of the topological characteristics of the water level signal, effectively filters out wind wave and siltation interference, avoids false start and stop of the water pump, and reduces equipment wear and energy consumption.

The invention discloses a water-saving precise irrigation control system and method, and relates to the technical field of agricultural irrigation, and the method comprises the steps: obtaining an irrigation region and an environment data set, preprocessing the environment data set, generating credible data, carrying out fluctuation evaluation on the credible data, and generating a data quality index; executing a gating decision on an irrigation mode judgment basis based on a data quality index, generating a partition target irrigation instruction set, executing infiltration capacity online identification on historical irrigation responses in the partition target irrigation instruction set and the environment data set, and generating a pulse irrigation sequence; and executing hydraulic state analysis on the pipe network flow pressure and the pump station operation data in the environmental data set, generating a water supply constraint, scheduling a pulse irrigation sequence based on the water supply constraint, and issuing the pulse irrigation sequence to a valve and a pump station to generate an irrigation execution result. According to the method, by forming water supply constraints, the strategy performability is improved, and meanwhile the field deviation is reduced.

The present application relates to a multi-source remote sensing driven precision irrigation and fertilization method and an integrated mobile operation system, aiming at the problems of large environmental heterogeneity influence, poor data consistency, delayed feedback and low execution adaptability of multi-source remote sensing in farmland irrigation and fertilization strategy making. The method establishes a multi-source spatio-temporal alignment observation data set through physical preprocessing of satellite, unmanned aerial vehicle and thermal infrared remote sensing images and environmental label data, realizes unified mapping from physical characteristics to crop stress semantic space by using a lightweight semantic encoder, carries out abnormal source elimination combined with semantic consistency measurement and mismatch detection, and realizes adaptive and closed-loop decision making according to crop growth stages and stress types by integrating historical feedback and dynamic correction of model parameters. The present application improves the accuracy, environmental robustness and response timeliness of farmland irrigation and fertilization strategy, and is conducive to the optimization of intelligent operation.

The invention provides a crop water demand judgment irrigation method and system based on image recognition, and relates to the technical field of agricultural irrigation. An area to be irrigated is divided into a plurality of subareas, a plurality of image acquisition points are set in each subarea, and an optimal cruise path is calculated according to geographic coordinates of the image acquisition points; an unmanned aerial vehicle or a track robot carrying an image acquisition terminal is used for acquiring crop image data at the image acquisition points of all the subareas along the optimal cruise path; the method comprises the following steps: standardizing crop image data, extracting a spectral feature value for judging the crop moisture condition, inputting a pre-trained water demand judgment model to obtain a water demand index at each image acquisition point, and finally generating a corresponding control instruction based on the water demand index at each image acquisition point, and the irrigation execution unit receives the control instruction and completes irrigation operation. According to the invention, mechanical, automatic and intelligent precise irrigation based on image recognition can be realized, and efficient utilization of water resources is realized.

The present invention relates to the field of intelligent irrigation technology, specifically to an intelligent control system for agricultural water-saving irrigation. The system includes a growth stage identification module, a moisture monitoring module, a meteorological data synchronization module, an irrigation strategy scheduling module, and a feedback correction module. In the present invention, through time series analysis of the increase in key rice growth parameters, high-precision identification of crop stage status is achieved, the accuracy of stage determination is improved, key growth period blocks are screened, control targets are focused, and resource utilization efficiency is improved. Humidity data is collected and compared in layers, a deep and shallow dynamic response structure is constructed, and the resolution of moisture changes is enhanced. Humidity rhythms are synchronized with meteorological forecasts to improve control foresight, eliminate precipitation interference windows, and combine water demand gears to achieve block-based precision irrigation. The control results are fed back via dual indicators of humidity and leaf color difference, and a setting mapping is constructed to form a closed-loop control mechanism, enhancing adaptability and execution accuracy.

The invention discloses a device and a process for producing biogas and returning biogas manure to fields through anaerobic fermentation of wool scouring wastewater, and belongs to the technical field of industrial wastewater treatment and resource utilization. The device comprises a pretreatment unit, a two-stage anaerobic fermentation unit, a biogas recycling unit and a biogas manure returning unit which are communicated in sequence, the pretreatment unit comprises a dissolved air flotation oil removal tank, a tempering acidification tank and a horizontal spiral centrifuge, the two-stage anaerobic fermentation unit comprises a hydrolysis acidification tank and an efficient internal circulation anaerobic reactor, and the biogas recycling unit comprises a biogas purification assembly and a waste heat utilization assembly. The biogas manure returning unit comprises a solid-liquid separation assembly, a compost maturing assembly and a precise irrigation assembly; according to the process, wool fat and suspended solids in wool scouring wastewater are removed through pretreatment, biogas is produced through two-stage anaerobic fermentation, the biogas is recycled after being purified, and biogas manure is prepared from anaerobic effluent and accurately returned to the field; the method realizes full resource utilization of the wool scouring wastewater, the COD removal rate is greater than or equal to 95%, the biogas yield is increased by more than 30%, secondary pollution is avoided, and the operation cost is low.

The application discloses a kind of karst region crop precision irrigation methods based on stem sap flow early warning, comprising: step 1, layout underground infiltration irrigation system drip irrigation pipeline and surface water retaining layer;Step 2, install heat pulse sap flow sensor on healthy planting pearl stem;Step 3, according to the early warning signal generated by heat pulse sap flow sensor sap flow rate, as the starting signal of infiltration irrigation system;Step 4, after starting infiltration irrigation system, start underground infiltration irrigation system to carry out targeted water replenishment, when the monitored real-time average sap flow rate falls to normal level, close irrigation valve, complete closed-loop irrigation;Realize the combination of karst mountainous area drought early warning and root closed-loop targeted irrigation, effectively avoid the death of plant due to catastrophic hydraulic failure in xylem, significantly improve water resource utilization efficiency and crop drought survival rate;Solve the technical problems such as irrigation timing lag and low water resource utilization efficiency in karst region.

The utility model relates to the technical field of water, fertilizer and pesticide integration, in particular to a water, fertilizer and pesticide integrated precision irrigation system. The lower end of a premixing box is connected with a compound mixing box through a water conveying pipe, and the lower end of the compound mixing box is fixedly connected with a drip irrigation pipeline through an irrigation pipe; the upper end of the premixing box is fixedly connected with a fertilizer box and a pesticide box through a weighing module, a uniform mixing mechanism is arranged in the premixing box, and a stirring mechanism is arranged in the compound mixing box. According to the utility model, the premixing box is arranged, the water storage tank is connected with the premixing box through the water supply pipe, the metering pump is connected to the water supply pipe, and the fertilizer box and the pesticide box are connected to the upper end of the premixing box through the weighing module, so that automatic precise proportioning of water, fertilizer and pesticide can be realized; by arranging the uniform mixing mechanism in the premixing box, uniform mixing of water, fertilizer and pesticide can be achieved, by arranging the compound mixing box and arranging the stirring mechanism in the compound mixing box, sufficient mixing of the water, fertilizer and pesticide can be further promoted, and blockage of the drip irrigation nozzles is avoided.

The present invention belongs to the technical field of tomato seedling cultivation, and relates to a precise watering method for tomato industrialized seedling cultivation based on the porosity of the substrate, comprising the following steps: preparing a seedling cultivation substrate and loading it into a seedling tray, sowing tomato seeds, and setting the porosity of the selected seedling cultivation substrate as x; watering the sown seedling cultivation substrate and keeping it moist until the tomato seeds germinate; after the tomato seeds germinate, using the equation y = 0.49x<supgt;2< / supgt; - 0.28x + 0.12 as a guiding method to quantitatively water the seedling cultivation substrate, where y (L) is the optimal watering amount per liter of the seedling cultivation substrate, until the tomato seedlings meet the requirements for transplantation. The present invention obtains the correlation between the porosity, the watering amount and the strong seedlings, forms a precise irrigation technology that can support the automatic control of the Internet of Things, and realizes the precise irrigation of tomato industrialized seedling cultivation.

According to the technical scheme, the water distribution gate device with the precise flow distribution function on the irrigation canal is characterized in that the water distribution gate device comprises the irrigation canal, a flow distribution block is fixedly installed on the top face of the irrigation canal, a rotating shaft is rotatably installed on one side of the flow distribution block, and a first water baffle is fixedly installed on the outer circle wall face of the rotating shaft; a second water baffle is arranged on the outer circular wall surface of the rotating shaft; the flow dividing adjusting assembly is arranged on the outer circle wall face of the rotating shaft and used for adjusting opening and closing of the first water baffle and the second water baffle, the inner shaft is arranged, accurate regulation and control of the double water baffles are achieved through independent rotation of the inner shaft and the rotating shaft, the rotating angle of the first water baffle and the rotating angle of the second water baffle can be independently adjusted, and therefore the flow dividing effect is achieved. The angle combination of the two water baffles can flexibly change the distribution proportion of water flow between the main canal and the branch canal and between the branch canals, multi-direction and multi-flow accurate diversion is achieved, and the requirements of high-precision irrigation scenes such as drip irrigation and spray irrigation in modern agriculture are met.

The application relates to the technical field of irrigation equipment, in particular to intelligent precise irrigation equipment, which comprises a main pipeline, a connecting structure, a secondary pipeline and a buckle cover, the main pipeline is used for conveying water, a first water hole is formed in the main pipeline, the connecting structure is installed on the main pipeline and is communicated with the first water hole, the secondary pipeline is communicated and installed on the connecting structure, the secondary pipeline is used for extending to an irrigation position, a second water hole is formed in the secondary pipeline, the buckle cover is rotationally sleeved on the secondary pipeline and seals the second water hole, and a plurality of irrigation openings are arranged on the buckle cover; the equipment design allows users to select different irrigation modes according to actual demands, improves the multifunctionality and adaptability of the equipment, and meets the irrigation demands of different crops and different growth stages.