50 results about "Nutrient management" patented technology

The invention relates to the technical field of farmland nutrient management, and discloses an organic fertilizer application method and system for dynamic management of farmland nutrients, and the method comprises the steps: obtaining and standardizing original data of a farmland environment, extracting features to generate farmland feature vectors, and completing nutrient demand recognition and fertilization type analysis; integrating the data to generate an enhanced farmland matrix, performing multi-dimensional nutrient analysis, calculating application necessity and an environmental influence value, and generating decision data after verification; constructing an enhanced fertilizer feature space based on an organic fertilizer library and the decision data, completing fertilizer matching, proportioning and application path optimization, and outputting pre-inspection report data; and collecting application data to carry out anomaly detection and adaptive learning. The system comprises a processor and a memory, and instructions stored in the memory can implement the method. According to the invention, through multi-dimensional data integration and intelligent decision making, the precision and scientificity of farmland nutrient management are improved, and the system is suitable for precise fertilization requirements of modern agriculture.

The invention discloses an intelligent control method and system for saline-alkali soil slow-release fertilizer application, and the method comprises the steps: analyzing the space-time trend of soil salinity change and pH dynamic change through a convolutional neural network, judging the matching demand of the fertilizer release rate, and generating a target release curve; the method comprises the following steps: extracting a high-activity strain adapting to a high-salt environment from a salt-tolerant microbial library through a high-throughput screening algorithm, and determining optimal release time interval distribution of strain function activation by combining with the release characteristic of a dynamic release coated fertilizer; if the soil salinity change exceeds a preset threshold value, sensor monitoring data and a target release curve are integrated through a closed-loop control system, and an optimized fertilization amount scheme is obtained; a deep learning model is adopted to analyze the relation between the optimized fertilization amount scheme and soil deep salt distribution, the parameter requirement of depth accurate regulation and control is judged, and a layered fertilization depth control strategy is generated. Through real-time feedback and optimization iteration, accurate improvement and sustainable nutrient management of the saline-alkali soil are realized.

The invention provides a high-yield cultivation method for rice-morchella esculenta crop rotation, which specifically comprises the following steps: step 1, remaining previous rice stubbles, and turning over the rice stubbles into soil; step 2, laying a fungus bed substrate on a furrow surface and sowing; step 3, spraying a bacterium-promoting nutrient solution and a protective agent; step 4, after the morchella esculenta is harvested, turning over the fungus bed substrate into soil and applying a base fertilizer; 5, rice is transplanted, and tillering fertilizer, fish protein fermentation liquor and leaf fertilizer are applied; step 6, spraying an insecticide; step 7, harvesting the rice and remaining stubbles, and continuing planting the morchella esculenta; according to the method, the problems of nutrition imbalance, chemical residues, fertilizer efficiency lag and the like in the existing crop rotation technology are solved one by one through the steps of systematic optimization of a fungus bed substrate, nutrition management, base fertilizer preparation and the like.

The invention discloses a rice nutrient accurate monitoring and fertilization decision-making system based on multi-source data fusion, particularly relates to the field of precision agriculture, and is used for solving the problems of nutrient monitoring deviation and inaccurate fertilization caused by spectrum saturation in a rice vigorous growing period. The method comprises the following steps of: acquiring red edges and near-infrared reflection from multiple angles, synchronously acquiring texture and structure images, fusing to generate an anti-saturation characteristic cube, outputting a peak period characteristic packet by phonological transition point space-time segmentation, eliminating saturation response to construct a separable nitrogen trace spectrum, and calculating the nitrogen trace spectrum. The method is realized by calculating an energy concentration ratio and a water layer confluence indicating quantity in a situation constraint graph, outputting a calibration coefficient to adjust a prescriptional graph, and finally combining a historical track and a microtopography check drop point to output an execution prescriptional graph, so that the peak period diagnosis precision is improved, excessive or insufficient fertilization is avoided, and efficient nutrient management is realized.

The invention relates to the field of precision agriculture and artificial intelligence, in particular to a crop fertilizer efficiency regulation and control method and device based on a time sequence spectrum and a medium. The method comprises the following steps: firstly, constructing a multi-temporal image sequence fusing spectral change and environmental information, introducing a depth recognition model with a time sequence convolution and attention fusion mechanism, transmitting the multi-temporal image sequence to the depth recognition model, carrying out spectral mutation point calibration on spectral time sequence data in the multi-temporal image sequence, and carrying out depth recognition on the spectral mutation point; the calibrated spectrum mutation point is used as a guide item of a time attention module, so that the model is endowed with sensitivity to physiological state change; the deep recognition model achieves current nutrition state scoring, future trend prediction and variable fertilization suggestion, and outputs prediction confidence interval and waveband channel importance interpretation information. The deep learning model and the feedback mechanism are combined, a multi-output structure, the prediction confidence perception capability and the self-adaptive optimization function are achieved, and the intelligent level of crop nutrient management can be improved.

The invention belongs to the technical field of agricultural planting, and relates to a camellia oleifera-blueberry high-yield composite cultivation method. The method specifically comprises the following steps: step 1, ploughing land, applying a base fertilizer and an acidic substrate, ridging, ditching, and applying a camellia oleifera culture substrate in three layers; step 2, soaking roots of the camellia oleifera and blueberry seedlings with a nutrient solution; step 3, planting the camellia oleifera in the planting furrows, and planting the blueberries on the ridges; 4, watering and fertilizing in four stages; through layered matrix configuration, nursery stock treatment technology upgrading, staged water and fertilizer management and ecological complementary design, the problems of soil conflict, extensive nutrient management, frequent occurrence of diseases and pests and the like in traditional camellia oleifera and blueberry single planting are systematically solved, and the yield and quality of camellia oleifera and blueberry are improved through the composite cultivation mode; the utilization efficiency of land resources is also remarkably improved, ecological benefits and economic benefits are achieved, and an innovative scheme is provided for efficient cultivation of economic forest fruits.

A system and method for managing nutrient concentrate in water-based solutions is disclosed. The method includes receiving nutrient information of water-based solution from a data measurement unit at real-time and receiving a set of desired parameters associated with the crops from one or more sources. The method further generating a set of nutrients recommendations corresponding to one or more additional nutrients required in the water-based solution for maximum crop yield and determining a set of dosing parameters to inject the one or more additional nutrients in the water-based solution based on the nutrient information, the set of desired parameters and the set of nutrients recommendations by using a nutrient management based AI model. Further, the method includes the nutrient information, the set of desired parameters, the set of nutrients recommendation and the set of dosing parameters on user interface screen of one or more electronic devices.

Smart Pot Sensor with Automated Soil Additive Spraying and Plant Health Analysis, Indoor plant care can be challenging due to limited knowledge in soil monitoring, nutrient management, and environmental conditions, leading to poor plant health. Current solutions often detect issues too late or fail to provide personalized care for each plant. This invention introduces a smart pot system that integrates AI, sensors, and automated nutrient spraying. It monitors soil parameters and environmental factors in real-time, using predictive algorithms to deliver nutrients precisely when needed. A mobile app provides personalized care recommendations, optimizing plant growth and reducing manual intervention.

The application discloses a rice nutrient precision monitoring and fertilization decision system based on multi-source data fusion, and particularly relates to the field of precision agriculture, and is used for solving the problems of nutrient monitoring deviation and inaccurate fertilization caused by spectral saturation during the rice vigorous growth period, and is achieved by the following steps: collecting red edge and near-infrared reflection from multiple angles, synchronously acquiring texture and structure images and fusing to generate an anti-saturation feature cube, outputting a vigorous growth period feature package by spatiotemporal segmentation at the phenological transition point, constructing a separable nitrogen trace spectrum by eliminating saturated response, outputting a prescription front graph by adjusting the balance coefficient under the calculation of energy concentration and water layer confluence indicators in a context constraint graph, and finally outputting an execution prescription graph by combining historical trajectories and micro-terrain to check the landing point, so that the vigorous growth period diagnosis precision is improved, over-fertilization or under-fertilization is avoided, and efficient nutrient management is realized.

The invention discloses a nutrient management method based on a crop growth model and electronic equipment. The method comprises the following steps: establishing a growth model according to crop growth data collected under a preset cultivation condition, wherein the growth model is used for mapping a growth rule of crops; obtaining morphological parameters of the crops; performing contrast analysis on the morphological parameters and the growth model to generate a growth potential evaluation result for judging whether the growth potential of the crops meets expectation or not; and judging whether the crops need to take one or more measures of irrigation adjustment, fertilization and environment regulation or not according to the growth potential evaluation result, so that the growth potential meets the expectation. According to the method, the crop growth model is established as an evaluation criterion, and contrast analysis is performed in combination with polymorphic parameter monitoring, so that the crop growth potential is dynamically and accurately evaluated, management measures are adjusted in time accordingly, and the accuracy and timeliness of nutrient management are improved.

The application relates to the technical field of farmland nutrient management, and discloses an organic fertilizer application method and system for dynamic management of farmland nutrients, which comprises the following steps: obtaining original farmland environment data and standardizing the original farmland environment data, extracting features to generate a farmland feature vector, completing nutrient requirement identification and fertilizer type analysis, integrating data to generate an enhanced farmland matrix, performing multi-dimensional nutrient analysis, calculating application necessity and environmental impact value, and generating decision data after verification; constructing an enhanced fertilizer feature space based on an organic fertilizer library and the decision data, completing fertilizer matching, proportioning and application path optimization, and outputting pre-inspection report data; and collecting application data for abnormality detection and self-adaptive learning. The system comprises a processor and a memory, and the memory stores instructions which can realize the above method. Through multi-dimensional data integration and intelligent decision, the application improves the accuracy and scientificity of farmland nutrient management, and is suitable for the precise fertilization demand of modern agriculture.

The application relates to the technical field of plant culture, and discloses a temperature and illumination control method for an intelligent plant culture device, which comprises the following steps: S1, inputting plant variety information and presetting basic maintenance information of an environment in each stage; S2, regularly sampling rhizosphere soil and non-rhizosphere soil, comparing sampling results with plant standard information, and performing nutrient management information; S3, generating illumination information according to the basic maintenance information; S4, generating temperature information according to the basic maintenance information; and S5, generating feedback adjustment information according to the nutrient management information, wherein the feedback adjustment information comprises temperature adjustment information and illumination adjustment information. Based on intelligent optimization of plant variety characteristics and growth stages, the application realizes whole-process, fine management and self-adaptive adjustment of a plant growth environment through monitoring of rhizosphere soil and non-rhizosphere soil and combination of illumination and temperature control.

Soybean (Glycine max) is a globally important legume crop due to its ability to fix atmospheric nitrogen, and agricultural practices such as water and nutrient management can help farmers improve efficiency, increase crop productivity, conserve water, improve soil quality, improve soil nutrient efficiency, and produce sustainable soybean crops. This disclosure discloses novel plants, soybean plant parts including stems, roots, leaves, flowers, pods, seeds, etc., and nucleotide sequences of soybean varieties containing a mutated FT1a gene, as well as methods for producing the same by growing soybean plants or lots, and methods for using the same.

The invention provides an automatic plant farm control system in a planetary environment. The automatic plant farm control system comprises a central control system, an environment monitoring system, a plant cultivation cabin, a nutrient management system, an automatic sowing and harvesting system and a resource recovery and circulation system. Under the conditions of extreme temperature difference, low air pressure and non-earth type atmosphere, temperature, humidity and gas balance environment needed by plants can be provided, and adaptive growth of the plants on different planets is ensured. And secondly, cosmic rays, solar wind and planetary surface radiation can be resisted. Besides, a closed-loop resource circulation system is developed especially for the current situation that deep space resources are deficient, multi-stage purification and recovery of water resources and efficient degradation and utilization of waste are achieved, and the resource use efficiency is remarkably improved. And finally, aiming at the deep space communication delay problem, the AI autonomous decision technology is adopted, environment regulation and control, irrigation management and fault repair can be completed without human intervention, and deep space task requirements are met.

The invention discloses an alpine meadow ex-situ maintenance and management method, and relates to the technical field of ecological environment engineering, and the method comprises the following steps: S1, meadow stripping: manually stripping turf, the side length of the stripped turf is not greater than 50cm, and the thickness is 10-15cm; s2, backfilling preparation is conducted, specifically, construction waste in a to-be-backfilled area is cleaned, the ground is trimmed, and then soil covering is conducted; s3, meadow replanting is conducted, specifically, the turf is replanted in the soil-covered area, it is ensured that the turf makes close contact with the soil, and gaps between the turf are filled with humus soil; s4, water management, wherein the meadow after replanting is watered and maintained, and the watering frequency is once every 3-7 days; and S5, nutrition management: applying 0.5-2 kg / m of farmyard manure to the replanted meadow. According to the method, through quantitative moisture and nutrition management, the problems of low survival rate and unstable recovery after the alpine meadow is transplanted are reduced, the crossing from extensive experience maintenance to refined quantitative management is realized, and the meadow can be rapidly recovered and the community stability is kept.

The invention discloses a method and a system for secondary flowering of saffron crocus, and relates to the technical field of cultivation of saffron crocus. Through the design of the overall technical scheme, the yield can be increased; the flowering times of saffron crocus can be increased in one growth cycle through secondary flowering, so that the flower bud yield per unit area is increased; more flowers can be harvested every year, so that the earnings of producers are remarkably improved, especially under the condition that market demands are vigorous; a secondary flowering technology can prolong the flowering phase of saffron crocus, so that the supply time of saffron crocus on the market is prolonged, and the saffron crocus has higher market competitiveness; by regulating and controlling the environment and managing nutrients, agricultural resources such as water and fertilizers can be utilized more efficiently, and resource waste is reduced; and quality improvement: through refined environment control, the flower quality of the saffron crocus can be improved, and the medicinal value and market quality of the saffron crocus can be ensured.

This invention belongs to the field of ornamental horticulture cultivation technology, and relates to a cultivation method for promoting wound healing in bonsai using a plant hormone repair agent. This method addresses the problems of slow wound healing and susceptibility to infection during grafting and pruning of bonsai. It constructs a plant hormone repair agent composed of hormone components, antibacterial components, repair aids, penetrants, and a carrier, and integrates it with a complete "pretreatment—grafting—application—bandaging—maintenance" process. The repair agent creates a synergistic microenvironment of physiological regulation and antibacterial activity at the graft union and various cuts. Combined with sterile gauze and mulch wrapping, it reduces water loss and pathogen infection. Through temperature and humidity control during the healing period and light, water, and nutrient management during the growing season, the wound can complete continuous healing and gradual lignification in a short time. This invention significantly improves healing speed, infection control, grafting survival rate, and lignification stability, and is suitable for the standardized and large-scale cultivation of various bonsai materials.

The invention belongs to the technical field of tea-oil tree planting, discloses an efficient and stable-yield planting method for Hainan tropical tea-oil trees, and aims to solve the problems of water and soil loss, nutrient leaching, high incidence of diseases and insect pests, low pollination efficiency and the like in Hainan tropical tea-oil tree cultivation. The method is characterized by comprising the following steps: constructing a micro water collection and soil conservation system; building a polyclonal space-time coupling pollination matrix and a pollination habitat; precise nutrient management is implemented; a dynamic ventilation hybrid framework is constructed; and implementing comprehensive pest and disease management. By adopting the technical scheme, water and soil conservation, nutrient utilization, physiological resistance, pollination efficiency and yield stability of the camellia oleifera are effectively improved.

A sensing-based process for managing nutrient fertilization in crops. This invention uses reference plots in a field, fertilized at different pre-plant rates, including at least one plot fertilized at a lower rate than the majority of the field. Measurements from the plots are used to estimate the Current Limiting Rate (CLR), which is the lowest non-limiting nutrient rate at the time of sensing.Preferred embodiments are presented specifically for managing nitrogen in rain-fed and irrigated corn. These embodiments use the CLR, along with a model for CLR movement with time to determine nutrient rates for mid-season treatments that achieve specified yield-based or profit-based objectives.This invention's novel use of low-rate reference plots to estimate the CLR enable the detection of stress before the main area of a field is impacted, allowing for advance planning and intervention without sacrificing yield potential.

This invention discloses a method and system for inverting the nutrient content of eucalyptus canopy leaves based on multi-feature fusion, belonging to the field of UAV remote sensing and forestry information technology. The method includes: acquiring and preprocessing multispectral image data from a UAV; extracting vegetation index features and texture features of the eucalyptus canopy; filtering the fused features based on mutual information to construct a multi-feature fusion dataset; constructing an inversion model for the nitrogen, phosphorus, and potassium content of eucalyptus leaves using a random forest regression algorithm; and verifying and optimizing the accuracy of the inversion model. This invention effectively compensates for the information gaps of single features by fusing spectral and spatial structure information, significantly improving the inversion accuracy of eucalyptus canopy leaf nutrient content, and providing reliable technical support for precise nutrient management of eucalyptus plantations.

The application provides a method for promoting growth of passion fruit scion and improving graft survival rate, which comprises the following steps: (1) cultivating rootstock; (2) cultivating scion: spraying the mixed nutrient solution of 85% phosphorus glycine diluent, 98% sodium phenylsulfonate diluent and 0.01% brassinolide diluent on the scion mother plant once, spraying 8% fresh amine ester and potassium nitrate solution once after 2 days, and promoting lateral bud germination; collecting lateral vine top bud as scion; (3) selecting sealing film as sealing grafting interface material; (4) grafting: adopting cutting bud grafting method; (5) moisture and temperature preservation management; (6) seedling nutrient management; and (7) seedling disease and pest control. The method sprays the nutrient solution for promoting lateral vine germination to accelerate lateral vine growth, simultaneously adopts bud grafting method combined with sealing film to seal the grafting interface, avoids residual water in the grafting interface caused by watering during growth, and avoids affecting graft survival rate due to difficult healing, so that the purpose of reducing grafting cost and improving graft survival rate is achieved.

The invention provides a method and a system for regulating and controlling excellent quality of fruits and vegetables based on nutrient management, and relates to the technical field of agricultural seedling culture. The method comprises the following steps: acquiring types, application types and current growth stages of target fruits and vegetables, detecting quality indexes and soil nutrients under different applications and growth stages, adjusting nutrient types and supply quantities, adjusting nutrient supply modes according to types and environment temperatures, regularly detecting the quality indexes and adjusting the nutrient supply quantities after fertilization, and controlling the quality indexes and the supply quantities of the target fruits and vegetables. The system also comprises a corresponding system module. By dynamically matching the fruit and vegetable growth requirements and nutrient supply and accurately adjusting the supply mode and quantity, accurate regulation and control of the fruit and vegetable quality are realized, so that the excellent quality of the fruit and vegetable is effectively improved, and the planting benefit is guaranteed.

The present invention discloses a composite seedling raising method for a host plant of the saburomys saburomys, comprising the following steps: selecting a non-woven bag or a plug tray as a culture container; taking a mixture of garden soil, nutrient soil, fine sand, and vermiculite as a matrix; selecting saburomys saburomys seeds with full particles, soaking them with gibberellins, washing them with distilled water, and sowing them after air drying; watering the matrix thoroughly before sowing; mixing the saburomys saburomys seeds with fine sand, and then sowing them on the soil surface of the matrix to moisten the soil surface; sowing wheat seeds or crabgrass seeds in the matrix sown with the saburomys saburomys; and managing light and nutrients: when the saburomys saburomys grows to the cotyledon stage and the true leaf stage, it needs to be cultured under high light intensity conditions and irrigated with seaweed nutrient solution and rooting powder. The composite seedling raising method for the saburomys ...

The utility model relates to the technical field of nutrient management, in particular to a crop nutrient management device based on soil conductivity monitoring, which comprises a movable base, a battery box is mounted on the left side of the upper end of the movable base, and fixing frames are fixedly connected to the upper end of the movable base and located on the front side and the rear side of the battery box. A first sliding box is installed at the upper end of the movable base, a detection insertion pipe is arranged at the lower end of the first sliding box, and a servo motor is installed at the upper end of the first sliding box; the first telescopic cylinder is started, the second sliding plate slides to the lower end along the second sliding box, then the second telescopic cylinder is started, the detection block is pushed out of the sliding shell, the probe at the lower end is inserted into a soil layer to be at the corresponding depth, the conductivity of soil is measured, the problem of soil salinization can be found in time, and the detection efficiency is improved. And meanwhile, the conductivity is related to the soil nutrient content, and the measurement of the conductivity can help to accurately judge the nutrient content in the soil, so that reasonable fertilization is facilitated.

The application discloses a rhizosphere microbial nutrient limitation judgment and prescription generation method based on extracellular enzyme activity, and belongs to the technical field of soil ecology and agricultural detection and analysis. The method obtains soil samples of a plough layer and a sub-plough layer by stratified discrete sampling of a to-be-tested farmland soil, determines extracellular enzyme activity data of each soil sample, and obtains a microbial nutrient limitation strength by processing the enzyme measurement characteristic ratio based on the extracellular enzyme activity data through a threshold ecological enzyme measurement model. The microbial nutrient limitation type is judged and the microbial nutrient limitation strength difference is calculated based on the microbial nutrient limitation strength of each soil sample, so as to form a soil microbial nutrient limitation pattern of the plough layer and the sub-plough layer, and a differentiated nutrient management prescription of a corresponding layer is output according to the soil microbial nutrient limitation pattern. The application realizes accurate quantitative judgment of rhizosphere microbial carbon, nitrogen and phosphorus nutrient limitation, provides a scientific basis for stratified accurate management of farmland nutrients, and improves the pertinence and effectiveness of nutrient regulation.

The invention discloses a nutrient management method for improving the pectin content and / or storage quality of wax gourd fruits, and belongs to the technical field of plant nutrient management. The nutrient management method provided by the invention comprises the following steps: applying a fertilizer containing nitrogen, phosphorus pentoxide, potassium oxide, magnesium oxide and calcium oxide to white gourd plants. The magnesium oxide is added into the fertilizer, and other fertilizer components such as nitrogen, phosphorus pentoxide, potassium oxide and calcium oxide are combined, so that the pectin content of the wax gourd fruits can be effectively increased, and the content reduction of nutrient substances such as soluble sugar, soluble protein and vitamin C in the storage period of the wax gourd fruits can be remarkably inhibited; therefore, the storage quality of the wax gourd and the nutritional quality after storage are improved. Furthermore, by applying the organic calcium fertilizer and / or melatonin, the pectin content and / or the storage quality of the wax gourd fruits can be more effectively improved.

The invention relates to the technical field of data processing, and discloses a pepper planting area soil nutrient assessment generation method based on big data analysis, and the method comprises the steps: integrating remote sensing data, soil sampling point actual measurement data, topographic data and crop growth data of a target pepper planting area into multi-modal characteristic parameters; constructing a soil nutrient characteristic spectrum; analyzing a spatial mode of the soil nutrient characteristic spectrum, and simulating a time sequence evolution trend of the soil nutrient characteristic spectrum to obtain a soil nutrient current situation diagnosis result and short-term evolution trend early warning; determining dominant restrictive nutrient factors; differentiated strategy optimization is carried out on the nutrient deficiency area and the nutrient excess area, and a scenario nutrient management prescription is obtained; performing inversion evaluation on the implementation effect by applying the scenario nutrient management prescription, and performing synchronous calibration on a preset expert knowledge base; according to the method, the efficiency of evaluating and generating the soil nutrients in the pepper planting area based on big data analysis can be improved.

The invention discloses an intelligent nutrient solution drip irrigation device for fruit tree planting, and relates to the technical field of fruit tree planting and fertilization. The device comprises an intelligent moving trolley, the top of the intelligent moving trolley is obliquely provided with a fertilizer device mounting assembly, the top of the fertilizer device mounting assembly is provided with a support, the top of the support is fixedly provided with a rotation driving switching motor, and the top of the output end of the rotation driving switching motor is fixedly provided with a rotation switching support. A plurality of modular fertilizer applicators are annularly mounted on the outer side of the rotary switching bracket. According to the invention, the modularized fertilizer applicators are arranged, a plurality of modularized fertilizer applicators are mounted on the intelligent mobile trolley, each modularized fertilizer applicator corresponds to one fruit tree, and the intelligent mobile trolley is matched with the rotation angle of the rotary switching bracket through path planning; nutrient requirements of different stages such as the flowering stage, the fruit swelling stage and the postharvest recovery stage of the fruit trees can be accurately met, refined nutrient management and control are achieved, and the yield of the fruit trees and the fruit quality are effectively improved.

The utility model relates to the technical field of soilless culture, and discloses a three-dimensional soilless culture device which comprises a culture frame, an LED light source is fixedly connected to the top end of the inner wall of the culture frame, a culture box is connected to the surface of the culture frame in a clamped mode, and a spraying system is fixedly connected to the surface of the culture box. A hydraulic control valve is fixedly connected to the surface of the spraying system, a liquid level sensor is fixedly connected to the surface of the hydraulic control valve, a seedling raising box is clamped to the surface of the culture frame, and a seedling raising substrate is clamped into the seedling raising box. Through the arrangement of the whole equipment, nutrient solution is efficiently utilized, the growth environment of each plant can be accurately controlled, so that the production efficiency and the resource utilization rate are improved, meanwhile, through scientific design and technical means, the problem that nutrient solution supply is not uniform in a traditional cultivation system is solved, and the cultivation cost is reduced. And personalized nutrient management schemes are provided for different types of plants.

The invention discloses a method for rapidly cultivating hybrid seeds of pitaya into plants. The method comprises the following steps: (1) seed pretreatment; (2) seed germination acceleration; (3) seedling cultivation: adopting a ternary compound substrate for cultivation; (4) medium seedling cultivation: transplanting the seedlings to a greenhouse with the shading rate of 60-65%; when the seedlings start to enter a secondary hairy stem stage, the seedlings are transferred to outdoor seedling hardening with the shading rate of 40-45%; paying attention to sterilization and fertilization during the period; (5) big seedling cultivation: preparing soil and ridging, mixing a big seedling planting matrix into planting soil, uniformly scattering a circle of diatomite which is 1-2cm wide and about 2-4mm thick around a seedling trunk which is 5-10cm away from the seedling trunk after the seedling is planted, and forming a continuous'isolation belt '; paying attention to water and nutrition management during the period; and (6) plant formation. According to the method disclosed by the invention, through sectional seedling culture management and combination of shading, matrix, nutrition and cultivation mode optimization in different growth stages, rapid, efficient and standardized cultivation of the hybrid seeds of the dragon fruits from germination to adult plants is realized, and the whole period can be realized only by 20 months.