91 results about "Precision irrigation" patented technology

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 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 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 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 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 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.

This invention discloses a precision irrigation method for forestry, comprising the following steps: acquiring remote sensing data of vegetation in different target areas and transmitting it to an Internet of Things (IoT) cloud platform; acquiring real-time environmental data in different target areas and transmitting it to the IoT cloud platform; the IoT cloud platform processing the received data; acquiring meteorological data of different target areas through a meteorological station and optimizing the irrigation amount information of different target areas based on the meteorological data to obtain optimized irrigation amount information for different target areas; the IoT cloud platform generating corresponding execution control commands based on the optimized irrigation amount information and sending the commands to the irrigation execution module; the irrigation execution module generating corresponding equipment control commands to control valves and water pumps to perform irrigation operations. The method provided by this invention, by accurately assessing irrigation amounts, supplies the required water only to the areas requiring irrigation and during the required irrigation periods, avoiding the ineffective loss of water resources.

The application discloses a farmland intelligent precision irrigation direction control system based on Internet of Things, and relates to the technical field of intelligent irrigation.The system comprises a data acquisition module, a data processing and analysis module, a data labeling and classification unit, a three-dimensional coordinate model construction module, a nozzle angle adjusting device, a nozzle water quantity adjusting unit and a control instruction executing unit.The system can make irrigation water more efficiently reach water demand areas by calculating the distance between the nearest nozzle and the water demand position, and can ensure that water can be quickly and accurately delivered to the required place by accurately calculating the distance, so that water loss and energy waste caused by long-distance water delivery are avoided.The system can effectively cope with the influence of natural wind on irrigation by adjusting the water spraying direction in combination with the wind direction and wind speed, and can make the sprayed water flow accurately reach the water demand position by real-time monitoring of the wind direction and wind speed information, and combining the information with the water spraying parameters of the nozzle, so that the system accurately calculates the horizontal and vertical angle adjustment values of the nozzle.

The invention belongs to the technical field of intelligent agriculture, and particularly relates to a farmland multi-source data fusion precise water-saving intelligent irrigation decision-making method, which comprises the following steps: acquiring farmland multi-source monitoring data; the method comprises the following steps: dividing a farmland into rasterized spatial infinitesimal elements, constructing a farmland hydrothermal migration heterogeneous graph model, and outputting a whole-field soil moisture content spatial-temporal distribution prediction result; crop growth period parameters and an improved double-crop coefficient method are combined, and crop water demand and water shortage stress levels of different grid units are quantified; an improved self-adaptive weight particle swarm optimization algorithm is adopted to generate a grid-level differential irrigation decision scheme, and meanwhile, an irrigation early warning threshold is self-calibrated through Bayesian optimization; the method is issued to a field edge control node through the low-power-consumption wide-area Internet of Things, an intelligent irrigation execution mechanism is linked to complete precise irrigation, and model parameters and a decision strategy library are updated. Therefore, the problems of insufficient multi-source data integration efficiency, inaccurate farmland hydrothermal heterogeneity description and the like in the prior art are solved.

The utility model discloses an agricultural water filtration treatment device, which relates to the technical field of water filtration and comprises a water inlet component, a connector is detachably mounted at the top of the water inlet component, and a cleaning component is fixedly mounted at the bottom of the water inlet component. According to the agricultural water filtering treatment device disclosed by the utility model, the water inlet nozzle is positioned in water by utilizing the floating effect of the floating plate, so that the water inlet nozzle is prevented from being in contact with the bottom of river water, soil and sand at the water bottom are prevented from entering the filtering device, and meanwhile, the water inlet nozzle is positioned in the water, so that floating objects on the water surface are prevented from entering the filtering device; through multi-stage filtration, the water quality of agricultural water is improved, so that the device can be adapted to precise irrigation systems such as drip irrigation and sprinkling irrigation, the situation that the water inlet nozzle is blocked by sundries intercepted by the intercepting rod and the filter screen and the circulation efficiency of water is affected is avoided, the filter element is convenient to replace, and meanwhile, the device is flexible to use and wide in application range.

The method comprises the following steps: collecting research area data, constructing an irrigation area database, extracting soil humidity, meteorological parameters and crop physiological index data, respectively fitting respective distribution characteristics, constructing joint distribution, and randomly sampling to obtain a plurality of irrigation area scenes; taking the plurality of irrigation area scenes as input of a pre-constructed artificial intelligence decision model to obtain an irrigation decision instruction; constructing an irrigation execution regulation and control scheme based on the irrigation decision instruction, taking the irrigation execution regulation and control scheme as input of a pre-constructed multi-target collaborative optimization model, and screening to obtain an optimal irrigation execution regulation and control scheme; and making an equipment operation maintenance strategy, taking the equipment operation maintenance strategy as the input of the pre-constructed remote monitoring model, and adjusting the operation of the irrigation equipment to obtain a precise irrigation collaborative optimization scheme. Through innovative technical means and system architecture, many problems existing in irrigation of traditional irrigation areas are solved.

A smart irrigation system is disclosed, integrating advanced components to optimize water management. The system comprises a central controller interfacing with remote terminal units, environmental sensors, and a hybrid communication network supporting Thread, Bluetooth Mesh, Wi-Fi, and PLC protocols. Utilizing real-time and historical data, the controller dynamically adjusts irrigation schedules to conserve water and maximize efficiency. Localization technologies such as ToF, AoA, and RSSI provide precise zoning and component tracking. Energy efficiency is achieved through RTC-based scheduling, complemented by a battery management system that integrates solar panels and a water-driven generator for reliable, off-grid operation. The system incorporates AI-driven fault detection and blockchain encryption to enhance operational reliability and security. This comprehensive solution addresses energy consumption, precision irrigation, and secure communication for sustainable agricultural practices.

The invention relates to the technical field of seeding machine equipment, and discloses a corn seeding device with a precision irrigation function, the corn seeding device comprises a frame, the frame is provided with a trepanning mechanism, a seeding mechanism, an irrigation mechanism and a soil covering mechanism in sequence from the front end to the middle of the rear end in the advancing direction of the frame, and the top of the rear end of the frame is fixedly connected with a traction connecting plate; moving wheels are arranged at the bottoms of the front end and the rear end of the frame. When the whole frame is dragged by a tractor to move along the advancing direction, trepanning, seeding, irrigation and soil covering are sequentially carried out in order; wherein two sides of the seeding mechanism are respectively connected with the trepanning mechanism and the irrigation mechanism for ensuring the synchronization of the three mechanisms in use. Through the mechanical linkage design, the five links of trepanning, seeding, irrigation, soil covering and pressing are ensured to be continuously and synchronously completed in one-time proceeding, the problem of low efficiency caused by shutdown irrigation in traditional seeding is avoided, and the working efficiency and the seeding precision are remarkably improved.

The utility model discloses water and fertilizer integrated precise irrigation equipment for pear trees, which comprises a water pipe, a water source interface, a seal head, support blocks, a three-way pipe, a connecting pipe, a joint and a tree-surrounding irrigation structure, and is characterized in that the water source interface is mounted at the rear end of the water pipe, the seal head is plugged at the front end of the water pipe, and the support blocks are distributed at the bottom of the side end of the water pipe; the three-way pipe is distributed at the side end of the water pipe, the bottom of the connecting pipe is connected to the three-way pipe, the connector is installed at the top end of the connecting pipe, and the tree-surrounding irrigation structure is connected to the connecting pipe through the connector. The utility model solves the problems that the existing water and fertilizer integrated irrigation equipment mostly performs drip irrigation or slow spraying on one side of a pear tree, so that the irrigation is inaccurate, the root development is unbalanced, the water and fertilizer absorption is uneven, and the growth is influenced.

The invention discloses an intelligent precise irrigation method for matrix cultivation based on environmental parameter optimization. Firstly, the theoretical evapotranspiration is calculated based on the total irrigation amount, the irrigation discharge amount and the total weight of a crop matrix; then, calculating reference evapotranspiration based on a Penman correction formula, and calculating the reference evapotranspiration in different growth stages by utilizing crop coefficients; finally, by taking the reference evapotranspiration of different growth stages as a contrast, optimizing the theoretical evapotranspiration by using the daily average temperature, the daily average photosynthetically active radiation quantity and the daily average relative humidity to obtain a difference function between the reference evapotranspiration and the theoretical evapotranspiration; compensating the theoretical evapotranspiration by using a difference value between the reference evapotranspiration and the theoretical evapotranspiration to obtain an actual evapotranspiration; when the actual evapotranspiration is larger than the allowable water deficit value of the matrix, irrigation is started, and the irrigation amount is the actual evapotranspiration. According to the method, the quantitative relation among the irrigation time, the irrigation amount and the actual evapotranspiration amount is obtained, intelligent and accurate irrigation is achieved, and the problems that the irrigation accuracy is poor, and irrigation is not timely are solved.

The present application relates to the technical field of potato irrigation, and particularly relates to a potato precision irrigation system based on the Internet of Things. The system comprises a movable irrigation point for irrigating potatoes, which can more accurately realize the irrigation of potatoes; and an analysis unit determines the irrigation state based on water use efficiency, and adjusts the point coordinates of the irrigation device corresponding to the region point with a penetration depth lower than the preset penetration depth based on the irrigation state, adjusts the concentration of vitamin C solution when the cumulative irrigation frequency reaches the preset frequency and the irrigation state is still unqualified, and adjusts the irrigation amount when irrigating the vitamin C solution, so that the irrigation of potatoes is more effective. The present application determines the irrigation state based on water use efficiency, and adjusts the parameters when the irrigation state is unqualified, so that the irrigation of potatoes is more accurate, thereby further improving the irrigation efficiency of potatoes.

This invention relates to the field of water-saving irrigation technology and discloses a smart water-saving irrigation device applicable to multiple irrigation ranges. It includes an irrigation base, an irrigation main pipe extending through the bottom of the irrigation base, a telescopic corrugated pipe connected to the irrigation main pipe, and an irrigation nozzle installed on top of the telescopic corrugated pipe. It also includes a tilting mechanism and a cleaning mechanism located inside the irrigation base. Through the tilting mechanism, the tilt angle and lifting height of the nozzle in four directions can be flexibly and independently adjusted. This allows a single irrigation nozzle to intelligently switch between different operating modes, such as large-area flat, uniform spraying and long-distance directional precision irrigation. Ultimately, the irrigation range and distance can be adjusted in real time according to crop distribution, eliminating irrigation blind spots and overlapping areas present in traditional fixed nozzles. This enables on-demand water resource allocation, improves irrigation uniformity and water resource utilization, and enhances the adaptability of the device in diverse agricultural scenarios.

The invention discloses a polyethylene surface hydrophobic nano-film for relieving agricultural precise irrigation blockage and a preparation method thereof. The preparation method comprises the following steps: step 1, a cleaning step: firstly, carrying out surface cleaning treatment on the surface of a polyethylene sample; 2, pretreatment: putting the polyethylene sample cleaned in the step 1 into a pretreatment solution, and pretreating for a certain time at a specific temperature; 3, self-assembly: putting the polyethylene sample pretreated in the step 2 into a self-assembly solution with a certain concentration, and carrying out self-assembly treatment for a certain time, and 4, curing: drying and curing the polyethylene sample self-assembled in the step 3 to obtain the polyethylene surface hydrophobic nano-film. According to the preparation method, the hydrophobic capacity of the material can be effectively improved by strictly executing various preparation steps and controlling related process indexes.

The invention provides a mapping method of an irrigation map, irrigation equipment and a storage medium. The mapping method of the irrigation map comprises the following steps: acquiring a ground image around the irrigation equipment through the image acquisition device; and generating an irrigation map corresponding to the irrigation equipment based on the ground image and the actual set height of the image acquisition device. According to the mapping method, the irrigation map can be obtained, personalized irrigation can be carried out on the to-be-irrigated area based on the irrigation map, different irrigation requirements of the to-be-irrigated area are met, high-precision irrigation is achieved, and waste of water resources is avoided.