An adaptive adjustment intelligent water and fertilizer integrated supply system for garden trees

Abstract

The present application relates to the technical field of intelligent maintenance and water and fertilizer integration of gardens, and particularly relates to a self-adaptive adjustment intelligent water and fertilizer integration supply system for garden trees. The system is composed of a sensing and collecting module, a water and fertilizer decision module, a precise proportioning module, a self-adaptive control module and a remote interaction module. By collecting soil moisture parameters, meteorological environmental data and tree physiological information, the water and fertilizer demand grade of a single tree is determined in combination with the tree species type and phenological phase, and a differentiated supply scheme is outputted, the water and fertilizer precise delivery is completed by regulating the multiple mother liquor extraction amount and the water distribution ratio, and the application parameters are dynamically corrected according to the root layer water migration law and the nutrient adsorption characteristics, so as to finally realize the working condition display and the maintenance suggestion generation. Thus, the problems of existing garden water and fertilizer supply homogenization, insufficient proportioning accuracy and inability to self-adaptively control are solved.

Description

Technical Field

[0001] This invention relates to the field of intelligent garden maintenance and integrated water and fertilizer technology, and in particular to an adaptive and adjustable intelligent integrated water and fertilizer supply system for garden trees. Background Technology

[0002] Currently, with the continuous advancement of urban landscaping and greening construction in my country, the quality of maintenance and management of garden trees, as a core component of the urban ecosystem, directly determines the urban landscape effect and ecological function. Water and fertilizer supply is a core aspect of garden tree maintenance. Traditional manual irrigation and fertilization methods suffer from drawbacks such as low efficiency, insufficient precision, and serious resource waste. Integrated water and fertilizer technology, with its outstanding advantages of water and fertilizer conservation and high-efficiency management, has become an important development direction in the field of garden maintenance.

[0003] In related technologies, existing integrated water and fertilizer systems for gardens mostly adopt a zoned unified management and control model, typically using soil moisture content as the sole irrigation trigger condition. This makes it difficult to differentiate the varying water and fertilizer needs of different tree species and at different growth stages, and thus fails to achieve precise supply at the individual tree level. Furthermore, existing systems are mostly open-loop control models, failing to fully consider the impact of soil texture on water transport and nutrient adsorption and fixation. They cannot dynamically adjust supply parameters based on the actual effective water and fertilizer content in the root zone, easily leading to water and fertilizer leaching and nutrient fixation failure, resulting in low overall water and fertilizer utilization rates. Moreover, they generally lack comprehensive remote monitoring and intelligent maintenance guidance capabilities.

[0004] However, existing technologies cannot simultaneously meet the multiple demands of differentiated supply, adaptive correction, and intelligent management, and suffer from technical problems such as homogeneous supply, insufficient matching accuracy, lagging regulation, and low water and fertilizer utilization efficiency. Summary of the Invention

[0005] This application provides an adaptive and adjustable intelligent water and fertilizer integrated supply system for garden trees to solve the problems of homogeneity, insufficient ratio accuracy, and inability to adaptively regulate existing garden water and fertilizer supply systems.

[0006] The first aspect of this application provides an adaptive and adjustable intelligent water and fertilizer integrated supply system for garden trees, comprising: a sensing and acquisition module, a water and fertilizer decision-making module, a precise ratio module, an adaptive control module, and a remote interaction module; wherein, The sensing and acquisition module is used to collect soil moisture parameters, meteorological environmental data, and physiological information of garden trees. The water and fertilizer decision module is used to determine the water and fertilizer requirements of a single tree based on the soil moisture parameters, meteorological environmental data and tree physiological information, combined with tree species and phenological period, and output a differentiated supply plan. The precise proportioning module is used to adjust the extraction amount and water ratio of various mother liquors according to the differentiated supply scheme, and to transport the prepared water-fertilizer mixture to the root zone of the target tree through the zoned pipeline. The adaptive control module is used to adjust the application rate and fertilizer concentration for the next round of irrigation based on the execution feedback of the differentiated supply plan and in combination with the root zone water transport pattern and nutrient adsorption characteristics. The remote interaction module is used to display the water and fertilizer supply status, soil nutrient change trends and equipment operating information of each zone, and generate maintenance suggestions.

[0007] Preferably, the sensing and acquisition module includes a soil multi-parameter sensor array, a miniature meteorological sensor, and a tree physiological monitoring unit. The soil multi-parameter sensor array is used to collect soil moisture content, electrical conductivity, pH value, and temperature data at different depths in layers. The miniature meteorological sensor is used to monitor air temperature, relative humidity, light intensity, rainfall, and wind speed and direction in real time. The tree physiological monitoring unit is used to obtain the transpiration rate and photosynthetic physiological indicators of trees through a stem flow sensor and a leaf chlorophyll fluorescence probe.

[0008] Preferably, the water and fertilizer decision-making module includes a demand level classification unit, a phenological period matching module, and a supply scheme generator. The demand level classification unit is used to map soil moisture parameters, meteorological environmental data, and tree physiological information into three levels of water and fertilizer demand: low, medium, and high, based on a fuzzy comprehensive evaluation algorithm. The phenological period matching module is used to identify the current budding, leafing, flowering, fruit development, or dormancy period according to the phenological calendar corresponding to the tree species type, and then call the corresponding water and fertilizer ratio rule library. The supply scheme generator is used to integrate the demand level and the phenological period matching results to generate a differentiated supply scheme that includes irrigation amount, nitrogen, phosphorus, and potassium ratio, micronutrient addition amount, and supply timing.

[0009] Preferably, the precise proportioning module includes a mother liquor storage and extraction unit, a dynamic water distribution unit, and a zoned pipeline control unit. The mother liquor storage and extraction unit stores various concentrated nutrient mother liquors and precisely extracts the dosage of each mother liquor using a pulse metering pump according to the nitrogen, phosphorus, and potassium ratio in the differentiated supply plan. The dynamic water distribution unit adjusts the mixing ratio of clean water and mother liquor in real time according to the target application rate and fertilizer concentration, and corrects this through feedback from an online EC / pH sensor. The zoned pipeline control unit drives the corresponding electromagnetic valve group to open or close according to the zone where the target tree is located, delivering the water-fertilizer mixture to the root zone of the target tree via drip irrigation branch pipes.

[0010] Preferably, the adaptive control module includes a water transport simulation module, a nutrient adsorption correction unit, and an application parameter optimizer. The water transport simulation module simulates the vertical infiltration and horizontal diffusion of the water-fertilizer mixture in the root zone soil based on Darcy's law and Richard's equation, predicting the distribution range of the root zone wetlands. The nutrient adsorption correction unit calculates nitrogen leaching and phosphorus and potassium fixation rates based on soil texture classification data and cation exchange capacity, correcting the actual effective nutrient supply. The application parameter optimizer dynamically adjusts the application rate and fertilizer concentration for the next irrigation cycle based on the wetland distribution range and the actual effective nutrient supply, combined with meteorological forecast data for the next irrigation cycle, ensuring that the water and fertilizer distribution in the root zone matches the tree root absorption area.

[0011] Preferably, the remote interaction module includes a visualization display unit, an anomaly alarm module, and a maintenance suggestion generator. The visualization display unit is used to display the location distribution of trees in each zone, the water and fertilizer supply status, and the soil nutrient change trend curve in a map-based interface. The anomaly alarm module is used to send tiered alarm information via SMS, APP push, or WeChat mini-program when the data exceeds a preset safety threshold. The maintenance suggestion generator is used to generate a maintenance suggestion report based on historical water and fertilizer supply records and tree growth response data, which includes fertilization timing, pruning coordination suggestions, and pest and disease prevention tips.

[0012] The second aspect of this application provides an adaptive and adjustable intelligent water and fertilizer supply method for garden trees, including: collecting soil moisture parameters, meteorological environmental data and tree physiological information; Based on the soil moisture parameters, meteorological environmental data, and tree physiological information, combined with tree species and phenological period, the water and fertilizer requirements of individual trees are determined, and a differentiated supply plan is output. According to the differentiated supply scheme, the extraction amount and water ratio of various mother liquors are adjusted, and the prepared water-fertilizer mixture is transported to the root zone of the target tree through the zoned pipeline. At the same time, the water and fertilizer supply status of each zone is collected, and the application amount and fertilizer concentration are adjusted in combination with the root layer water transport pattern and nutrient adsorption characteristics. Based on the water and fertilizer supply status, soil nutrient change trends, and equipment operating conditions of each zone, maintenance recommendations are generated.

[0013] A third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the program to implement an adaptive and adjustable intelligent water and fertilizer integrated supply method for garden trees as described in the above embodiments.

[0014] A fourth aspect of this application provides a computer-readable storage medium having a computer program stored thereon, which is executed by a processor to implement an adaptive and adjustable intelligent water and fertilizer supply method for garden trees as described in the above embodiments.

[0015] The fifth aspect of this application provides a computer program product, including a computer program or instructions, for implementing an adaptive and adjustable intelligent water and fertilizer integrated supply method for garden trees as described in the above embodiments.

[0016] The beneficial effects of the embodiments of this application are as follows: (1) By integrating multi-dimensional sensing data of soil moisture, meteorological environment and tree physiology, and combining tree species phenological period matching rules, a single-tree-level differentiated water and fertilizer supply plan is generated, breaking the homogeneity limitation of traditional zoned unified irrigation, so that water and fertilizer supply can accurately match the actual needs of different growth stages of trees.

[0017] (2) Based on water transport simulation and nutrient adsorption correction, a closed-loop adaptive regulation mechanism is constructed. The irrigation application rate and fertilizer concentration can be dynamically adjusted according to the distribution of root zone wet bodies and effective nutrient content, effectively reducing nutrient leaching and fixation loss, and significantly improving water and fertilizer utilization efficiency.

[0018] (3) It integrates precise online calibration of water and fertilizer ratio, remote visual monitoring and intelligent maintenance suggestion generation, which not only ensures the real-time control accuracy of water and fertilizer ratio, but also realizes digital management and control of maintenance status in the whole area, reduces manual operation and maintenance costs, and improves the refinement and intelligence level of garden maintenance management.

[0019] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0020] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a schematic diagram of an adaptive and adjustable intelligent water and fertilizer integrated supply system for garden trees provided according to an embodiment of this application; Figure 2 This is a schematic diagram of a sensing and acquisition module provided according to an embodiment of this application; Figure 3 This is a schematic diagram of a water and fertilizer decision-making module according to an embodiment of this application; Figure 4 This is a schematic diagram of a precise proportioning module provided according to an embodiment of this application; Figure 5 This is a schematic diagram of an adaptive control module provided according to an embodiment of this application; Figure 6 This is a schematic diagram of a remote interaction module provided according to an embodiment of this application; Figure 7 A flowchart of an adaptive adjustment intelligent water and fertilizer integrated supply system for garden trees provided according to an embodiment of this application; Figure 8 A flowchart illustrating an adaptive and intelligent integrated water and fertilizer supply method for garden trees according to an embodiment of this application; Figure 9 This is a schematic diagram of an adaptive and intelligent integrated water and fertilizer supply method for garden trees according to an embodiment of this application; Figure 10 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of this application. Detailed Implementation

[0021] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0022] The following describes an embodiment of the present application of an adaptive and adjustable intelligent integrated water and fertilizer supply system for garden trees, with reference to the accompanying drawings. Addressing the problems of homogeneous water and fertilizer supply, insufficient ratio precision, and inability to adaptively regulate water and fertilizer supply in gardens mentioned in the background art, this application provides an adaptive and adjustable intelligent integrated water and fertilizer supply system for garden trees. In this system, a sensing and acquisition module comprehensively collects soil moisture parameters, meteorological environmental data, and tree physiological information, providing multi-dimensional basic data for water and fertilizer decision-making. The water and fertilizer decision-making module, combining tree species and phenological stages, determines the water and fertilizer demand level of individual trees based on a fuzzy comprehensive evaluation algorithm, outputting differentiated supply schemes and breaking the homogeneity limitations of traditional zoned unified irrigation. A precise ratio module accurately extracts multiple mother liquors using pulse metering pumps and dynamically distributes water, delivering it to the root zone of the target trees through zoned pipelines, achieving precise water and fertilizer supply. An adaptive regulation module dynamically corrects the application rate and fertilizer concentration based on the root layer water transport patterns and nutrient adsorption characteristics, constructing a closed-loop adaptive regulation mechanism to effectively reduce nutrient leaching and fixation losses. A remote interaction module enables visualized monitoring of the water and fertilizer supply status across the entire area and generates intelligent maintenance suggestions. This solves the problems of homogeneous water and fertilizer supply in existing gardens, insufficient precision in proportioning, and inability to adaptively regulate.

[0023] Figure 1 This is a schematic diagram of an adaptive and adjustable intelligent water and fertilizer integrated supply system for garden trees, provided as an embodiment of this application.

[0024] This application provides an adaptive adjustment intelligent water and fertilizer integrated supply system for garden trees. The system 10 includes: a sensing and acquisition module 100, a water and fertilizer decision-making module 200, a precise ratio module 300, an adaptive control module 400, and a remote interaction module 500.

[0025] The system includes: a sensing and acquisition module 100 for collecting soil moisture parameters, meteorological data, and physiological information of the trees; a water and fertilizer decision-making module 200 for determining the water and fertilizer requirements of individual trees based on soil moisture parameters, meteorological data, and physiological information of the trees, combined with tree species and phenological stages, and outputting differentiated supply plans; a precise proportioning module 300 for adjusting the extraction volume and water ratio of various mother liquors according to the differentiated supply plan, and delivering the prepared water and fertilizer mixture to the root zone of the target trees through zoned pipelines; an adaptive control module 400 for adjusting the application amount and fertilizer concentration of the next round of irrigation based on the execution feedback of the differentiated supply plan, combined with the root layer water transport pattern and nutrient adsorption characteristics; and a remote interaction module 500 for displaying the water and fertilizer supply status, soil nutrient change trends, and equipment operating information of each zone, and generating maintenance suggestions.

[0026] Understandably, this application embodiment uses a multi-parameter soil sensor array to collect soil moisture content, electrical conductivity, pH value, and temperature data at different depths, accurately reflecting the water and fertilizer status and physicochemical properties of the root zone soil, providing direct soil moisture information for water and fertilizer demand assessment; a miniature meteorological sensor monitors air temperature, relative humidity, light intensity, rainfall, and wind speed and direction in real time, capturing the impact of meteorological environment on tree transpiration and nutrient absorption, providing environmental input for irrigation volume decisions in differentiated supply schemes; the tree physiological monitoring unit obtains the tree's transpiration rate and photosynthetic physiological indicators through stem flow sensors and leaf chlorophyll fluorescence probes, reflecting its water stress and nutrient status at the tree's own level, extending water and fertilizer decisions from "soil and environment inference" to "tree physiological feedback," improving the accuracy of demand level determination. The three work together to form a multi-dimensional perception system of "soil-environment-tree," providing high-quality, comprehensive basic data for subsequent water and fertilizer decisions and adaptive regulation.

[0027] For example, in the context of garden tree maintenance, a multi-parameter soil sensor array can be deployed vertically along the root zone of trees in layers (e.g., three layers at depths of 20cm, 40cm, and 60cm) to acquire real-time soil moisture content and conductivity at different depths. When the shallow soil moisture content is below 60% of field capacity while the deeper soil moisture content is still sufficient, it can be determined that water is mainly dissipated through surface evaporation, providing a basis for the precise allocation module to formulate a "small amount, multiple times" irrigation strategy. Under continuous high temperature and low humidity conditions, a micro-meteorological sensor can capture stress signals indicating air temperature exceeding 35℃ and relative humidity below 40%. Combined with light intensity data, this allows the demand level classification unit to upgrade the demand level of the corresponding tree species from "medium" to "high." The tree physiological monitoring unit monitors the stem flow rate of trees in real time through a stem flow sensor. When the stem flow rate remains consistently low, it indicates that the tree is under water stress, triggering the water and fertilizer decision-making module to prioritize irrigation for that tree. The aforementioned multi-source data provides reliable input for the water and fertilizer decision-making module to generate differentiated supply plans for individual trees.

[0028] In this embodiment of the application, the water and fertilizer decision-making module 200 includes: Figure 3 As shown, the system comprises a demand level classification unit, a phenological period matching module, and a supply plan generator. The demand level classification unit uses a fuzzy comprehensive evaluation algorithm to map soil moisture parameters, meteorological data, and tree physiological information into three levels of water and fertilizer demand: low, medium, and high. The phenological period matching module identifies the current budding, leafing, flowering, fruit development, or dormancy stage based on the phenological calendar corresponding to the tree species and calls the corresponding water and fertilizer ratio rule base. The supply plan generator integrates the demand level and phenological period matching results to generate a differentiated supply plan that includes irrigation amount, nitrogen, phosphorus, and potassium ratio, micronutrient addition amount, and supply timing.

[0029] It is understood that the demand level classification unit in this application embodiment is based on a fuzzy comprehensive evaluation algorithm, which maps multi-dimensional perception data into three levels of water and fertilizer demand: low, medium, and high. It transforms qualitative soil, meteorological, and physiological information into quantitative level determinations, taking into account the fuzziness and uncertainty of garden environmental parameters. The phenological period matching module identifies the current phenological period based on the phenological calendar corresponding to the tree species type and calls the corresponding water and fertilizer ratio rule library, ensuring that the supply plan matches the physiological needs of trees at different growth stages (e.g., nitrogen is needed to promote shoot growth during budding, phosphorus is needed to protect flowers during flowering, and potassium is needed to promote fruit development during fruit development). The supply plan generator integrates the demand level and phenological period matching results to generate differentiated supply plans that include irrigation volume, nitrogen-phosphorus-potassium ratio, micronutrient addition amount, and supply timing, achieving precise supply with a "one tree, one policy" approach. Thus, it breaks through the homogeneous limitations of traditional unified zoned management, enabling precise matching of water and fertilizer supply to the actual needs of individual trees.

[0030] It should be noted that the membership function of the fuzzy comprehensive evaluation algorithm can adopt a triangular or trapezoidal distribution. Taking soil moisture content as an example, let its universe of discourse be... (The ratio of volumetric water content to field capacity), the membership function for "low water" is defined as:

[0031] in, To measure the volumetric water content, This refers to field holding capacity. Similarly, membership functions are constructed for meteorological environmental data and tree physiological indicators, and an evaluation matrix is ​​built accordingly. Combined with weight vector (The weights of the three categories of indicators, namely soil, meteorology, and physiology, are respectively satisfied.) ),pass The system obtains a comprehensive evaluation vector of the demand level, and takes the level corresponding to the largest component as the current water and fertilizer demand level (low / medium / high) for the tree. During phenological period matching, the system looks up the phenological calendar of the tree species (e.g., ginkgo: budding in late March, leafing out in April, flowering in late April, fruit development in September-October, dormancy from December to February of the following year), combines this with the current date to locate the current phenological period, and calls the corresponding nitrogen, phosphorus, and potassium ratio rule library for that phenological period (e.g., budding period). Fruit development period The supply solution generator integrates demand levels (higher levels correspond to 1.2 times the baseline usage, and lower levels correspond to 0.8 times) to output the final differentiated supply solution.

[0032] In this embodiment of the application, the precise proportioning module 300 includes: Figure 4 As shown, the system comprises a mother liquor storage and extraction unit, a dynamic water distribution unit, and a zoned pipeline control unit. The mother liquor storage and extraction unit stores various concentrated nutrient mother liquors and precisely extracts the appropriate amount of each mother liquor using a pulse metering pump based on the nitrogen, phosphorus, and potassium ratios in the differentiated supply plan. The dynamic water distribution unit adjusts the mixing ratio of clean water and mother liquor in real time according to the target application rate and fertilizer concentration, and uses an online EC / pH sensor for feedback correction. The zoned pipeline control unit drives the corresponding solenoid valve group to open or close according to the zone where the target tree is located, delivering the water-fertilizer mixture to the root zone of the target tree via drip irrigation branches.

[0033] It is understood that the mother liquor storage and extraction unit in this embodiment stores multiple concentrated nutrient mother liquors and precisely extracts the dosage of each mother liquor according to the nitrogen, phosphorus, and potassium ratio using a pulse metering pump, achieving quantitative and precise addition of multiple mother liquors. The dynamic water distribution unit adjusts the mixing ratio of clean water and mother liquor in real time according to the target application rate and fertilizer concentration, and ensures the real-time control accuracy of the concentration and pH of the water-fertilizer mixture through feedback correction using an online EC / pH sensor. The zoned pipeline control unit drives the corresponding solenoid valve group according to the zone where the target tree is located, precisely delivering the water-fertilizer mixture to the root zone of the target tree through drip irrigation branch pipes, achieving point-to-point supply at the single tree or zone level. The collaboration of these three components transforms the differentiated supply plan output by the water and fertilizer decision module into the actual preparation and targeted delivery of the water-fertilizer mixture, which is the key link in the system from "decision-making" to "execution".

[0034] For example, taking a ginkgo tree in its fruit development stage with a "high" demand level as an example, the differentiated supply plan output by the supply plan generator is: irrigation volume 50L, Micronutrient addition amount ( 0.5g, supplied in the evening of the same day. The mother liquor storage and extraction unit according to... The mixing ratio is determined by using three pulse metering pumps (each corresponding to one type of mother liquor) to extract 8L, 16L, and 24L of N mother liquor, P mother liquor, and K mother liquor respectively (converted to corresponding pulse counts based on the concentration factor); a dynamic water distribution unit injects clean water into the mixing tank to a total volume of 50L; an online EC sensor monitors the conductivity of the mixture in real time; when the measured EC deviates from the target value (e.g., ... When this occurs, the system automatically adjusts the water supply to correct the concentration, and the pH sensor simultaneously maintains the pH level at a suitable level. The appropriate range; after preparation, the zoned pipeline control unit drives the electromagnetic valve group of the "G zone" where the ginkgo tree is located to open, and the water and fertilizer mixture is delivered to the root zone of the tree through the drip irrigation branch pipe to complete a precise supply.

[0035] In this embodiment of the application, the adaptive control module 400 includes: Figure 5 As shown, the system comprises a water transport simulation module, a nutrient adsorption correction unit, and an application parameter optimizer. The water transport simulation module, based on Darcy's law and Richard's equation, simulates the vertical infiltration and horizontal diffusion of the water-fertilizer mixture in the root zone soil, predicting the distribution range of the root zone's wetted body. The nutrient adsorption correction unit calculates nitrogen leaching and phosphorus and potassium fixation rates based on soil texture classification data and cation exchange capacity, correcting the actual effective nutrient supply. The application parameter optimizer dynamically adjusts the application rate and fertilizer concentration for the next irrigation cycle based on the wetted body distribution range, the actual effective nutrient supply, and weather forecast data for the next irrigation cycle, ensuring that the water and fertilizer distribution in the root zone matches the tree root absorption area.

[0036] It is understood that the water transport simulation module in this application simulates the infiltration and diffusion process of water-fertilizer mixture in the root zone based on Darcy's law and Richard's equation, predicts the distribution range of the root zone wet body, and provides a quantitative basis for water transport for application rate correction; the nutrient adsorption correction unit calculates nitrogen leaching and phosphorus and potassium fixation rates based on soil texture classification data and cation exchange capacity, corrects the actual effective nutrient supply, and transforms the theoretical application rate output by the decision module into the "actual effective application rate" after considering soil adsorption and fixation; the application parameter optimizer combines wet body distribution, actual effective nutrient supply, and weather forecast data to dynamically correct the application rate and fertilizer concentration for the next round of irrigation, so that the water and fertilizer distribution in the root zone matches the tree root absorption area, and constructs a closed-loop adaptive regulation of "execution-feedback-correction", which effectively reduces nutrient leaching and fixation losses and significantly improves water and fertilizer utilization efficiency.

[0037] It should be noted that Richard's equation describes the movement of unsaturated soil moisture, and its form is:

[0038] in, Water content by volume For time, Unsaturated hydraulic conductivity For soil water head, For source and sink terms (such as root water absorption terms), Darcy's law gives the pore flow velocity. ( For the total water head, (Location head). In nutrient adsorption correction, phosphorus fixation rate... Potassium fixation rate is positively correlated with soil texture (clay content). Positively correlated with cation exchange capacity (CEC), nitrogen leaching It is positively correlated with the cumulative infiltration rate and nitrate nitrogen concentration; The actual effective nutrient supply can be expressed as:

[0039] in The leaching sensitivity coefficient is used. The application parameter optimizer uses the constraints of "the root zone wet body volume covers the root absorption zone" and "the effective nutrients meet the demand level" to solve for the optimal application rate and fertilizer concentration for the next round.

[0040] In this embodiment of the application, the remote interaction module 500 includes: Figure 6As shown, the system comprises a visualization unit, an anomaly alarm module, and a maintenance suggestion generator. The visualization unit displays the location distribution of trees in each zone, the status of water and fertilizer supply, and the trend curves of soil nutrient changes in a map-based interface. The anomaly alarm module sends tiered alarm information via SMS, app push notifications, or WeChat mini-programs when data exceeds preset safety thresholds. The maintenance suggestion generator generates a maintenance suggestion report based on historical water and fertilizer supply records and tree growth response data, including suggestions on fertilization timing, pruning coordination, and pest and disease prevention tips.

[0041] It is understood that the visualization unit in this embodiment displays the distribution of tree locations, water and fertilizer supply status, and soil nutrient change trend curves in each zone using a map-based interface, enabling managers to intuitively grasp the overall maintenance status of the area. The anomaly alarm module sends tiered alarm information via SMS, APP push notifications, or WeChat mini-programs when data exceeds preset safety thresholds, ensuring timely access and rapid response to abnormal events. The maintenance suggestion generator generates maintenance suggestion reports based on historical water and fertilizer supply records and tree growth response data, providing intelligent assistance for manual maintenance decisions. These three components work together to achieve 24 / 7 remote monitoring of system operation status, anomaly warnings, and intelligent maintenance guidance, reducing manual operation and maintenance costs and improving the precision and intelligence of garden maintenance management.

[0042] This application proposes an adaptive and intelligent integrated water and fertilizer supply system for garden trees. Through a sensing and acquisition module, it comprehensively collects multi-dimensional information on soil moisture, meteorological environment, and tree physiology, providing a precise data foundation for water and fertilizer decision-making. The water and fertilizer decision-making module generates individual-tree-level differentiated water and fertilizer supply plans based on tree species phenological period matching rules, breaking the homogeneity limitations of traditional zoned unified irrigation. The precise proportioning module achieves accurate preparation and zoned delivery of the water and fertilizer mixture through pulse metering pumps and online EC / pH feedback correction. The adaptive regulation module constructs a closed-loop adaptive regulation mechanism based on water transport simulation and nutrient adsorption correction, dynamically adjusting irrigation application rate and fertilizer concentration to effectively reduce nutrient leaching and fixation losses, significantly improving water and fertilizer utilization efficiency. The remote interaction module integrates visual monitoring and intelligent maintenance suggestion generation, realizing digital management of the maintenance status of the entire area. Therefore, it solves the problems of homogeneity in existing garden water and fertilizer supply, insufficient precision in proportioning, and inability to adaptively regulate.

[0043] The following will illustrate an adaptive and adjustable intelligent water and fertilizer integrated supply system for garden trees through a specific embodiment, such as... Figure 7As shown, this includes a tree maintenance area in a city's comprehensive park, covering approximately 120 acres, with over 860 large and medium-sized trees such as ginkgo, camphor, osmanthus, and magnolia. This area previously used a combination of traditional zoned, timed irrigation and manual fertilization, which resulted in problems such as homogenized water and fertilizer supply, large amounts of water and fertilizer used, and uneven growth of some trees. To improve the level of refined maintenance, the adaptive and adjustable intelligent integrated water and fertilizer supply system for garden trees, as described in this application, was introduced to implement intelligent integrated water and fertilizer supply for individual trees throughout the entire area.

[0044] The sensing and acquisition module, serving as the system's data entry point, comprises a soil multi-parameter sensor array, a miniature meteorological sensor, and a tree physiological monitoring unit, forming a multi-dimensional data acquisition network encompassing "soil-environment-trees." The soil multi-parameter sensor array employs a layered deployment, with three layers of detection points (20cm, 40cm, and 60cm) vertically positioned in the root zone of each target tree. Using the FDR (Franklin Delano Roosevelt) frequency domain reflectance principle, it measures in real-time the soil volumetric water content (accuracy ±2%FS), electrical conductivity (accuracy ±3%FS), pH value (accuracy ±0.1), and temperature (accuracy ±0.5℃) at each layer, reflecting the water and fertilizer status and physicochemical properties of the root zone soil. The miniature meteorological sensor is deployed in the maintenance... In an open and well-ventilated area, integrated measurement units for air temperature (-40-85℃), relative humidity (0-100%RH), light intensity (0-200000 lux), rainfall (resolution 0.2mm), and wind speed and direction (0-60m / s) are installed, with a sampling frequency of 1Hz to capture real-time changes in the meteorological environment. A tree physiological monitoring unit is deployed for key trees (approximately 120 trees) using stem flow sensors (thermal pulse type, measurement accuracy ±5%) and leaf chlorophyll fluorescence probes (Fv / Fm measurement accuracy ±0.01%) to non-contactly acquire tree transpiration rates and photosynthetic physiological indicators. These three types of sensing data are aggregated to the on-site edge gateway via a LoRa wireless sensor network (transmission distance ≥3km, power consumption ≤0.5W). After filtering, noise reduction, and protocol conversion, the data is uploaded to the cloud server via a 4G / 5G module (transmission latency ≤200ms), providing high-quality, real-time multi-source data support for water and fertilizer decisions.

[0045] Implementation details of the water and fertilizer decision-making module: The demand level division unit is based on the fuzzy comprehensive evaluation algorithm. Triangular membership functions are constructed for each tree's soil moisture content, meteorological stress index, and tree physiological indicators (stem flow rate, chlorophyll fluorescence Fv / Fm), respectively, to build an evaluation matrix; combined with weight vectors... (Weights of three categories of indicators: soil, meteorology, and physiology), through... The system obtains a comprehensive evaluation vector representing low, medium, and high demand levels, and takes the level corresponding to the largest component as the current water and fertilizer demand level for the tree. The phenological period matching module has a built-in phenological calendar database of common garden tree species (e.g., ginkgo: budding in late March, leafing out in April, flowering in late April, fruit development in September-October, dormancy from December to February of the following year; camphor is an evergreen species, with phenological periods divided into spring shoot period, summer shoot period, autumn shoot period, and relative dormancy period). Based on the tree species and the current date, it automatically locates the current phenological period and calls the corresponding water and fertilizer ratio rule library (e.g., budding period). Flowering period Fruit development period The supply plan generator integrates the demand level (high level corresponds to baseline dosage × 1.2, medium level × 1.0, low level × 0.8) with the phenological period ratio results, generating a calculation including irrigation amount (L / plant), nitrogen, phosphorus and potassium ratio, and micronutrient addition amount (…). Differentiated supply plans (g / plant) and supply timing (evening of the same day / early morning of the next day) are implemented to achieve "one policy for one tree".

[0046] Implementation details of the precise proportioning module: The mother liquor storage and extraction unit is equipped with four 200L mother liquor storage tanks, which respectively store N mother liquor (mainly urea, containing...) ), P mother liquor (mainly monoammonium phosphate, containing K mother liquor (mainly potassium sulfate, containing...) The system provides N, P, and K mother liquor (containing Fe, Mn, and B chelates), and each storage tank is equipped with a stirring device to prevent sedimentation. Based on the N, P, and K ratio in the supply plan, three pulse metering pumps (flow range 0.5~10L / h, accuracy ±1%) precisely extract the corresponding pulse counts of N, P, and K mother liquor. The trace element mother liquor is added at a low flow rate by an independent micro-metering pump. A dynamic water distribution unit injects clean water into the mixing tank to the target volume according to the target application rate and fertilizer concentration. The mixing tank is equipped with an online EC sensor (measurement range 0~5mS / cm, accuracy ±0.01mS / cm) and a pH sensor (measurement range 0~14, accuracy ±0.1), providing real-time feedback and correction: when the measured EC deviates from the target value, the clean water supply is automatically fine-tuned; when the pH deviates from the 6.0~7.0 range, an acid-base adjuster is automatically added. The zoned pipeline control unit divides the maintenance area into 12 water and fertilizer supply zones, G1 to G12. Each zone is equipped with an independent solenoid valve group (DN25, response time ≤2s). The corresponding valve is opened based on the zone where the target tree is located, allowing the water and fertilizer mixture to flow through... Drip irrigation branch pipes (drip head flow rate 2L / h, spacing 30cm) deliver water to the root zone of the target trees, achieving precise point-to-point supply at the zone / single tree level.

[0047] Implementation details of the adaptive regulation module: The water transport simulation module is based on Darcy's law. With Richard's Equation Numerical simulation of the vertical infiltration and horizontal diffusion process of fertigation solution in the root zone soil was performed (discretized using the finite volume method, with a mesh size of [missing information]). The nutrient adsorption correction unit predicts the distribution range of the root zone wetting body (wetting body volume, maximum infiltration depth of the wetting peak, and horizontal diffusion radius), providing a quantitative basis for water transport for application rate correction. The nutrient adsorption correction unit uses soil texture classification data (sand / silt / clay content, obtained from soil texture sensors or laboratory testing) and cation exchange capacity (CEC) to predict the distribution range of the root zone wetting body (wetting body volume, maximum infiltration depth of the wetting peak, and horizontal diffusion radius), providing a quantitative basis for water transport for application rate correction. ), calculate nitrogen leaching loss ( Positively correlated with cumulative infiltration and nitrate nitrogen concentration) and phosphorus and potassium fixation rate ( Positively correlated with clay content, (Positively correlated with CEC), adjusting actual effective nutrient supply: , , The application parameter optimizer uses the constraints of "the volume of the root zone wet body covering the root absorption area" and "the effective nutrients meeting the demand level" as a basis. Combined with the meteorological forecast data (temperature, rainfall probability, evaporation) for the next irrigation cycle, it dynamically solves the optimal application rate and fertilizer concentration for the next cycle, so that the distribution of water and fertilizer in the root zone matches the tree root absorption area, and constructs a closed-loop adaptive regulation of "execution-feedback-correction".

[0048] Implementation details of the remote interaction module: The visualization display unit constructs a map-based interface for the maintenance area based on a GIS map. It uses layered icons to display the location distribution of trees in each of the G1~G12 zones. The icon colors dynamically change according to the water and fertilizer supply status (normal / alarm / no supply). Clicking on a single tree displays its real-time soil moisture content, EC, and pH curves, as well as the soil nutrient change trend curve over the past 30 days, enabling intuitive control of the entire area's status. The abnormal alarm module sets multi-level safety thresholds (e.g., soil moisture content < 50% of field capacity is a Level 1 alarm, < 40% is a Level 2 alarm; EC > 2.5 mS / cm is a fertilizer damage warning). When data exceeds the threshold, a graded alarm message is sent to the responsible maintenance personnel via SMS (Level 1), APP push (Level 2), or WeChat mini-program (Level 2 / emergency), according to the alarm level. The alarm message includes the abnormal location, parameter name, current value, and threshold. The maintenance suggestion generator generates maintenance suggestion reports based on historical water and fertilizer supply records and tree growth response data (such as new shoot length, leaf color changes, and flowering volume) through association rule analysis. These reports include suggestions on fertilization timing (such as "If there is rain in the next 3 days, it is recommended to postpone fertilization until after the rain"), pruning coordination suggestions (such as "Ginkgo G3-12 trees are weak, it is recommended to combine summer pruning to improve ventilation and light penetration"), and pest and disease prevention tips (such as "During hot and humid seasons, it is recommended to increase potassium fertilizer to enhance tree resistance").

[0049] In summary, this application's embodiments utilize a sensing and acquisition module to collect multi-dimensional data on "soil-environment-trees," providing precise input for decision-making; a water and fertilizer decision-making module, combined with phenological stages, generates differentiated supply plans for individual trees, breaking the limitations of homogeneity; a precise proportioning module achieves accurate water and fertilizer formulation and zoned delivery through pulse metering pumps and online EC / pH feedback; an adaptive control module dynamically adjusts application rates and fertilizer concentrations based on water transport simulation and nutrient adsorption correction, constructing a closed-loop adaptive control system that significantly reduces nutrient leaching and fixation losses; and a remote interaction module enables visualized monitoring and intelligent maintenance suggestion generation, reducing manual maintenance costs. After the system is put into operation, compared to the original traditional maintenance methods, water and fertilizer consumption are significantly reduced, tree growth uniformity is improved, and manual maintenance input is reduced, achieving precise, adaptive, and intelligent management of water and fertilizer supply for garden trees.

[0050] Next, referring to the accompanying drawings, an adaptive and intelligent integrated water and fertilizer supply method for garden trees is described according to an embodiment of this application.

[0051] like Figure 8 As shown, this adaptive and adjustable intelligent water and fertilizer integrated supply method for garden trees includes the following steps: In step S101, soil moisture parameters, meteorological environmental data, and tree physiological information are collected. It is understood that this embodiment of the application constructs a multi-dimensional perception system integrating "soil-environment-trees" by collecting soil moisture parameters, meteorological environmental data, and tree physiological information. This provides high-quality data for subsequent water and fertilizer demand level determination and the generation of differentiated supply plans, extending water and fertilizer decision-making from a single soil moisture content inference to a multi-dimensional comprehensive assessment, thereby improving the accuracy and relevance of demand determination.

[0052] In step S102, soil moisture parameters, meteorological environmental data, and tree physiological information are processed to generate a tree water and fertilizer status dataset. This dataset refers to a structured dataset containing soil moisture content, electrical conductivity, pH value, temperature, meteorological parameters, and tree physiological indicators, reflecting the water and fertilizer supply and demand status of individual trees. It is understood that this embodiment of the application, by preprocessing multi-source sensing data through filtering, noise reduction, outlier removal, and dimensional normalization, generates a tree water and fertilizer status dataset. This integrates scattered raw data into a standardized, structured information carrier, providing unified data input for water and fertilizer demand level classification and differentiated scheme generation, thereby improving data quality and the accuracy of subsequent decision-making.

[0053] In step S103, based on the tree water and fertilizer status dataset, combined with tree species type and phenological stage, the water and fertilizer requirement level of an individual tree is determined, and a differentiated supply plan is output. It is understood that this embodiment uses a fuzzy comprehensive evaluation algorithm to map multi-dimensional status data into three levels of water and fertilizer requirement: low, medium, and high. Combined with the tree species' phenological stage, a corresponding water and fertilizer ratio rule base is matched to generate a differentiated supply plan that includes irrigation amount, nitrogen, phosphorus, and potassium ratio, micronutrient addition amount, and supply timing. This achieves precise supply with a "one tree, one policy" approach, breaking the homogeneity limitations of traditional zoned unified irrigation and enabling precise matching of water and fertilizer supply to the actual needs of individual trees at different growth stages.

[0054] In step S104, according to the differentiated supply plan, the extraction volume and water ratio of various mother liquors are adjusted, and the prepared water-fertilizer mixture is delivered to the root zone of the target tree through the zoned pipelines. At the same time, the water and fertilizer supply status of each zone is collected. It can be understood that in this embodiment, the pulse metering pump accurately extracts the dosage of various mother liquors according to the nitrogen, phosphorus and potassium ratio. The dynamic water distribution unit adjusts the mixing ratio of clean water and mother liquor in real time and is corrected by feedback from the online EC / pH sensor. The zoned pipeline control unit drives the electromagnetic valve group to open according to the zone where the target tree is located, and delivers the water-fertilizer mixture to the root zone of the target tree through the drip irrigation branch pipe. At the same time, the water and fertilizer supply status (supply volume, EC, pH, valve status) of each zone is collected to provide execution feedback data for adaptive control, realizing the precise transformation from "decision" to "execution".

[0055] In step S105, based on the water and fertilizer supply status of each zone, and combined with the root zone water transport patterns and nutrient adsorption characteristics, the application rate and fertilizer concentration for the next round of irrigation are adjusted. It is understood that this embodiment simulates root zone water transport based on Darcy's law and Richard's equation to predict the distribution range of the moist body. Nitrogen leaching and phosphorus and potassium fixation rates are calculated based on soil texture and cation exchange capacity to correct the actual effective nutrient supply. An application parameter optimizer dynamically adjusts the application rate and fertilizer concentration for the next round of irrigation based on weather forecast data, ensuring that the root zone water and fertilizer distribution matches the tree root absorption area, constructing a closed-loop adaptive regulation that effectively reduces nutrient leaching and fixation losses, and significantly improves water and fertilizer utilization efficiency.

[0056] In step S106, maintenance recommendations are generated based on the water and fertilizer supply status, soil nutrient change trends, and equipment operating condition information of each zone. It is understood that this embodiment uses a visualization unit to display the water and fertilizer supply status, soil nutrient change trend curves, and equipment operating condition information of each zone in a map-based interface. An anomaly alarm module sends tiered alarms when data exceeds thresholds. The maintenance recommendation generator generates a maintenance recommendation report based on historical supply records and tree growth response data, including fertilization timing, pruning suggestions, and pest and disease prevention tips. This achieves digital management and intelligent maintenance guidance for the entire area's maintenance status, reducing manual operation and maintenance costs.

[0057] The adaptive and intelligent integrated water and fertilizer supply method for garden trees proposed in this application collects multi-dimensional information on soil moisture, meteorological environment, and tree physiology, and generates individual-tree-level differentiated supply plans based on the phenological stages of tree species, breaking the limitations of homogeneity. It achieves precise water and fertilizer formulation and zoned delivery through pulse metering pumps and online EC / pH feedback; constructs a closed-loop adaptive regulation system through water transport simulation and nutrient adsorption correction, dynamically adjusting application rates and fertilizer concentrations to effectively reduce nutrient leaching and fixation losses; and achieves full-area digital management through visual monitoring and intelligent maintenance suggestion generation. Therefore, it solves the problems of homogeneity, insufficient ratio precision, and inability to adaptively regulate existing garden water and fertilizer supply methods.

[0058] The following will illustrate an adaptive and intelligent integrated water and fertilizer supply method for garden trees through a specific embodiment, such as... Figure 9 As shown, it includes: A ginkgo tree (G3-12), approximately 25 years old and in its fruit development stage (mid-September), was selected as the supplier from a maintenance area of ​​a city park. The tree's crown width is approximately... The root region is distributed over an area of ​​approximately The system implements a complete closed-loop water and fertilizer supply system according to the following steps: Step 1 (S101, Sensing and Acquisition): A multi-parameter soil sensor array was used to collect soil parameters in the root zone of the tree at 20cm / 40cm / 60cm depths. The measured volumetric water content was 18.5% in the 20cm layer (below 60% of the field capacity of 24%), 21.2% in the 40cm layer, and 23.8% in the 60cm layer; electrical conductivity was 1.35 mS / cm, pH was 6.8, and temperature was 22.4℃. A miniature meteorological sensor recorded the daily air temperature as 28.6℃, relative humidity as 52%, light intensity as 42000 lux, rainfall as low as 0 mm in the previous 24 hours, and wind speed as 1.2 m / s. The tree physiological monitoring unit measured the tree's daily cumulative stem flow rate as 3.2 L / d using a stem flow sensor, and the chlorophyll fluorescence Fv / Fm was 0.72 (slightly below the healthy threshold of 0.75), indicating that the tree was under mild water stress and nutrient deficiency. All the above data was uploaded to a cloud server via a LoRa network.

[0059] Step 2 (S102, Data Preprocessing): The edge gateway performs filtering and denoising on the raw data (db4 wavelet basis 3-layer decomposition denoising), outlier removal (3σ criterion), and dimensional normalization (Z-score standardization) to construct a structured water and fertilizer status dataset for the Ginkgo tree, which includes 12-dimensional feature vectors such as soil moisture content, electrical conductivity, pH, temperature, meteorological stress index, stem flow rate, and Fv / Fm. After adding timestamps and tree species / phenological period labels, the dataset is stored in a time-series database.

[0060] Step 3 (S103, Water and Fertilizer Decision): The demand level division unit is based on the fuzzy comprehensive evaluation algorithm to classify soil moisture content (membership degree). ), meteorological stress index ( ) and tree physiological indicators ( Construct the evaluation matrix Combined with weights Calculated comprehensive evaluation vector The maximum component is assigned the grade "high"; the phenological period matching module locates the tree species "Ginkgo" and the current date September 15th as being in the "fruit development stage", and calls the water and fertilizer ratio rule library for the fruit development stage. The supply plan generator integrates the demand level "high" (baseline × 1.2) with the phenological period ratio to output differentiated supply plans: irrigation volume 50L, (converted) 0.6kg / plant, 1.2kg / plant, 1.8kg / plant), trace elements ( 0.5g / plant, supplied at the evening of the same day.

[0061] Step 4 (S104, Precise Proportioning and Delivery): The mother liquor storage and extraction unit, according to... The preparation process involved using three pulse metering pumps to extract the required amounts of N, P, and K mother liquors (converted to pulse counts based on the concentration factor), and a micronutrient metering pump to add 0.5g of micronutrient mother liquor. A dynamic water distribution unit injected clean water into the mixing tank to a total volume of 50L. An online EC sensor monitored the concentration in real time (target EC 1.8 mS / cm), with an actual EC of 1.76 mS / cm (deviation -2.2%, within ±5% allowable range). A pH sensor measured a pH of 6.6 (within the suitable range of 6.0~7.0). After preparation, the zoned pipeline control unit activated the G3 zoned solenoid valve group, allowing the 50L water-fertilizer mixture to be delivered to the G3-12 ginkgo root zone via drip irrigation branches. The valve automatically closed upon completion of the supply, simultaneously recording the supply status data, including the supply volume, EC, pH, and valve status.

[0062] Step 5 (S105, Adaptive Correction): The water transport simulation module simulates this process based on Darcy's law and Richard's equation. The infiltration and diffusion process of the nutrient solution in the root zone of the tree, predicting the distribution range of the moist body (maximum infiltration depth of the wetting peak is approximately...). Horizontal diffusion radius approximately The volume of the moist body is approximately It basically covers the main absorbing root distribution area); the nutrient adsorption correction unit is based on the soil texture (clay content 18%) and CEC ( ), calculate nitrogen leaching (Approximately 12%), phosphorus fixation rate (Approximately 15%) Potassium fixation rate (Approximately 8%), revised actual effective nutrient supply. , , The application parameter optimizer combines the weather forecast (maximum temperature) for the next irrigation cycle (3 days) with the application parameter optimizer. No rainfall, evaporation rate approximately Based on the distribution of moist bodies, the next round (3 days later) supply plan will be dynamically adjusted: the irrigation amount will be adjusted according to the distribution of moist bodies. Upgraded to (Compensating for water loss due to evaporation), maintaining fertilizer concentration The water and fertilizer distribution in the root zone remains unchanged (the effective nutrients have met the needs), ensuring that the distribution matches the root absorption area.

[0063] Step Six (S106, Remote Interaction and Maintenance Suggestions): The visualization unit colors the G3-12 tree icon on the GIS map as "Supplyed". Clicking it allows viewing the EC, pH, and slurry supply curves for this supply, as well as the soil moisture content and electrical conductivity trend curves for the past 30 days. The anomaly alarm module determines that all parameters are within the threshold range and there are no alarms. The maintenance suggestion generator generates a maintenance suggestion report based on the tree's supply records for the past 30 days (3 supplies in total, good growth response, increased new shoot length) and growth response data: "G3-12 Ginkgo is in the fruit development stage, and this supply is normal; there will be no rainfall and high temperatures in the next 3 days, so it is recommended to supply again in the evening after 3 days according to the revised plan; the inner branches of the tree are relatively dense, so it is recommended to combine autumn pruning to improve ventilation and light penetration; pay attention to the prevention of ginkgo leaf blight during the hot and humid season, and appropriately increase potassium fertilizer to enhance resistance."

[0064] In summary, the embodiments of this application achieve a complete closed-loop method of "sensing and acquisition - data preprocessing - water and fertilizer decision-making - precise ratio delivery - adaptive correction - remote interactive suggestions" to realize a differentiated, adaptive, and intelligent integrated water and fertilizer supply for garden trees at the individual tree level. This effectively solves the problems of homogeneous supply, insufficient ratio accuracy, lagging regulation, and low water and fertilizer utilization efficiency. It has achieved good results in improving water and fertilizer utilization efficiency, improving tree growth uniformity, and reducing manual operation and maintenance costs.

[0065] Figure 10 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include: The memory 1001, the processor 1002, and the computer program stored on the memory 1001 and capable of running on the processor 1002.

[0066] When the processor 1002 executes the program, it implements the adaptive adjustment intelligent water and fertilizer integrated supply method for garden trees provided in the above embodiments.

[0067] Furthermore, electronic devices also include: Communication interface 1003 is used for communication between memory 1001 and processor 1002.

[0068] The memory 1001 is used to store computer programs that can run on the processor 1002.

[0069] The memory 1001 may include high-speed RAM (Random Access Memory) and may also include non-volatile memory, such as at least one disk storage.

[0070] If the memory 1001, processor 1002, and communication interface 1003 are implemented independently, then the communication interface 1003, memory 1001, and processor 1002 can be interconnected via a bus to complete communication between them. The bus can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 10 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0071] Optionally, in a specific implementation, if the memory 1001, processor 1002, and communication interface 1003 are integrated on a single chip, then the memory 1001, processor 1002, and communication interface 1003 can communicate with each other through an internal interface.

[0072] The processor 1002 may be a CPU (Central Processing Unit), an ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of this application.

[0073] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described adaptive adjustment method for intelligent integrated water and fertilizer supply to garden trees.

[0074] Furthermore, this application also provides a computer program product, including a computer program or instructions, which, when executed, implement the aforementioned adaptive adjustment method for intelligent integrated water and fertilizer supply to garden trees.

[0075] In the description of this specification, the references to "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0076] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0077] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0078] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any of the following techniques known in the art, or a combination thereof: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0079] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0080] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

Claims

1. An adaptive and adjustable intelligent water and fertilizer integrated supply system for garden trees, characterized in that, include: The system includes a sensing and data acquisition module, a water and fertilizer decision-making module, a precision ratio module, an adaptive control module, and a remote interaction module; among which, The sensing and acquisition module is used to collect soil moisture parameters, meteorological environmental data, and physiological information of garden trees. The water and fertilizer decision module is used to determine the water and fertilizer requirements of a single tree based on the soil moisture parameters, meteorological environmental data and tree physiological information, combined with tree species and phenological period, and output a differentiated supply plan. The precise proportioning module is used to adjust the extraction amount and water ratio of various mother liquors according to the differentiated supply scheme, and to transport the prepared water-fertilizer mixture to the root zone of the target tree through the zoned pipeline. The adaptive control module is used to adjust the application rate and fertilizer concentration for the next round of irrigation based on the execution feedback of the differentiated supply plan and in combination with the root zone water transport pattern and nutrient adsorption characteristics. The remote interaction module is used to display the water and fertilizer supply status, soil nutrient change trends and equipment operating information of each zone, and generate maintenance suggestions.

2. The system according to claim 1, characterized in that, The sensing and acquisition module includes a soil multi-parameter sensor array, a miniature meteorological sensor, and a tree physiological monitoring unit. The soil multi-parameter sensor array is used to collect soil moisture content, electrical conductivity, pH value, and temperature data at different depths. The miniature meteorological sensor is used to monitor air temperature, relative humidity, light intensity, rainfall, and wind speed and direction in real time. The tree physiological monitoring unit is used to obtain the transpiration rate and photosynthetic physiological indicators of trees through stem flow sensors and leaf chlorophyll fluorescence probes.

3. The system according to claim 1, characterized in that, The water and fertilizer decision-making module includes a demand level classification unit, a phenological period matching module, and a supply plan generator. The demand level classification unit maps soil moisture parameters, meteorological data, and tree physiological information into three levels of water and fertilizer demand: low, medium, and high, based on a fuzzy comprehensive evaluation algorithm. The phenological period matching module identifies the current budding, leafing, flowering, fruit development, or dormancy period according to the phenological calendar corresponding to the tree species and calls the corresponding water and fertilizer ratio rule library. The supply plan generator integrates the demand level and phenological period matching results to generate a differentiated supply plan that includes irrigation amount, nitrogen, phosphorus, and potassium ratio, micronutrient addition amount, and supply timing.

4. The system according to claim 1, characterized in that, The precise proportioning module includes a mother liquor storage and extraction unit, a dynamic water distribution unit, and a zoned pipeline control unit. The mother liquor storage and extraction unit stores various concentrated nutrient mother liquors and precisely extracts the dosage of each mother liquor using a pulse metering pump according to the nitrogen, phosphorus, and potassium ratio in the differentiated supply plan. The dynamic water distribution unit adjusts the mixing ratio of clean water and mother liquor in real time according to the target application rate and fertilizer concentration, and corrects the result through feedback from an online EC / pH sensor. The zoned pipeline control unit drives the corresponding electromagnetic valve group to open or close according to the zone where the target tree is located, delivering the water-fertilizer mixture to the root zone of the target tree through drip irrigation branch pipes.

5. The system according to claim 1, characterized in that, The adaptive regulation module includes a water transport simulation module, a nutrient adsorption correction unit, and an application parameter optimizer. The water transport simulation module simulates the vertical infiltration and horizontal diffusion of the water-fertilizer mixture in the root zone soil based on Darcy's law and Richard's equation, predicting the distribution range of the root zone wetlands. The nutrient adsorption correction unit calculates nitrogen leaching and phosphorus and potassium fixation rates based on soil texture classification data and cation exchange capacity, correcting the actual effective nutrient supply. The application parameter optimizer dynamically adjusts the application rate and fertilizer concentration for the next irrigation cycle based on the wetland distribution range and the actual effective nutrient supply, combined with meteorological forecast data for the next irrigation cycle, ensuring that the water and fertilizer distribution in the root zone matches the tree root absorption area.

6. The system according to claim 1, characterized in that, The remote interaction module includes a visualization display unit, an anomaly alarm module, and a maintenance suggestion generator. The visualization display unit is used to display the location distribution of trees in each zone, the water and fertilizer supply status, and the soil nutrient change trend curves in a map-based interface. The anomaly alarm module is used to send tiered alarm information via SMS, APP push, or WeChat mini-program when the data exceeds a preset safety threshold. The maintenance suggestion generator is used to generate a maintenance suggestion report based on historical water and fertilizer supply records and tree growth response data, which includes fertilization timing, pruning coordination suggestions, and pest and disease prevention tips.

7. A method for applying an adaptive and adjustable intelligent water and fertilizer integrated supply system for garden trees according to any one of claims 1-6, characterized in that, The method includes: Collect soil moisture parameters, meteorological environmental data, and tree physiological information; Based on the soil moisture parameters, meteorological environmental data, and tree physiological information, combined with tree species and phenological period, the water and fertilizer requirements of individual trees are determined, and a differentiated supply plan is output. According to the differentiated supply scheme, the extraction amount and water ratio of various mother liquors are adjusted, and the prepared water-fertilizer mixture is transported to the root zone of the target tree through the zoned pipeline. At the same time, the water and fertilizer supply status of each zone is collected, and the application amount and fertilizer concentration are adjusted in combination with the root layer water transport pattern and nutrient adsorption characteristics. Based on the water and fertilizer supply status, soil nutrient change trends, and equipment operating conditions of each zone, maintenance recommendations are generated.

8. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the program to implement the adaptive and adjustable intelligent water and fertilizer supply method for garden trees as claimed in claim 7.

9. A computer-readable storage medium having a computer program or instructions stored thereon, characterized in that, When a computer program or instruction is executed, it implements the adaptive adjustment method for intelligent integrated water and fertilizer supply to garden trees as claimed in claim 7.

10. A computer program product, comprising a computer program or instructions, characterized in that, When a computer program or instruction is executed, it implements the adaptive adjustment method for intelligent integrated water and fertilizer supply to garden trees as claimed in claim 7.

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