Plant physiological response type irrigation method and system, electronic equipment and storage medium

Abstract

The invention relates to the technical field of plant physiological response type irrigation scheme design, in particular to a plant physiological response type irrigation method and system, electronic equipment and a storage medium. The method comprises the following steps: collecting a plant stem liquid flow volume, a leaf water potential and a root zone matrix water content in real time; the data precision is improved through temperature compensation and impedance correction; analyzing a parameter combination based on a preset strategy engine, and dynamically triggering a root zone pressurized irrigation or osmotic pressure attenuation mode; the high-pressure root irrigation module is driven to adjust the water injection pressure, or the infiltration adjusting device is controlled to adjust the irrigation liquid concentration. The system is composed of a multi-source parameter acquisition unit, a decision control unit and an execution terminal, and closed-loop control from physiological signal sensing to precise irrigation execution is achieved. According to the method, the dependence of traditional irrigation on environmental parameters is broken through, the timeliness and accuracy of moisture regulation and control are remarkably improved through multi-dimensional physiological state collaborative analysis, and the crop moisture utilization efficiency is effectively optimized.

Description

Technical Field

[0001] This invention relates to the field of plant physiological responsive irrigation scheme design technology, specifically to a plant physiological responsive irrigation method and system, electronic equipment, and storage medium. Background Technology

[0002] Current agricultural irrigation technologies generally suffer from delayed physiological responses and inefficient regulation. Traditional methods primarily rely on soil moisture sensors or meteorological data to predict irrigation demand, failing to capture the real-time water stress status of plants. For example, soil moisture monitoring only reflects the water stock in the root zone, while key physiological indicators such as sap flow dynamics driven by plant transpiration and changes in leaf cell water potential are not effectively incorporated into the decision-making system. This leads to significant deviations in irrigation timing and water quantity control: on the one hand, when soil moisture content is still within a reasonable range, plants may already be experiencing physiological drought due to a surge in atmospheric transpiration demand; on the other hand, irrigation triggering mechanisms based on fixed thresholds are ill-suited to adapting to diurnal physiological fluctuations and sudden environmental changes in crops.

[0003] Existing sensing technologies also have limitations. Sap flow detection in stems is easily affected by ambient temperature drift, leading to distortion in water transport rate measurements; leaf water potential sensing is affected by cuticle impedance characteristics, making it difficult to distinguish between anatomical structural changes and true water tension. Furthermore, control systems often rely on single-parameter drives (such as responding only to soil moisture), lacking the ability to fuse and analyze multiple physiological parameters, resulting in irrigation strategies that cannot accurately match the real-time physiological state of plants. For example, when root water absorption is hindered but soil moisture is sufficient, existing systems continue irrigation, exacerbating the anaerobic environment in the root zone; or during the physiological water-saving period when leaf stomata are closed, the system still supplies excessive water according to a preset program, resulting in resource waste.

[0004] Therefore, there is an urgent need to develop a system that can simultaneously sense three signals: plant water transport (stem), cell water status (leaves), and root zone environment (soil), and dynamically optimize irrigation patterns through intelligent strategies, in order to overcome the bottleneck of current technology's lagging response to the real physiological needs of plants.

[0005] Therefore, the existing technology still needs further development. Summary of the Invention

[0006] The purpose of this invention is to overcome the above-mentioned technical deficiencies and provide a plant physiologically responsive irrigation method and system, electronic device, and storage medium to solve the problems existing in the prior art.

[0007] To achieve the above-mentioned technical objectives, according to a first aspect of the present invention, the present invention provides a plant physiologically responsive irrigation method, comprising: (a) Real-time collection of sap flow rate, leaf water potential and root zone substrate moisture content parameters of the target plant; (b) Based on the parameters of step (a), irrigation control instructions are generated through a preset strategy engine; (c) Drive the irrigation execution terminal to implement the instructions.

[0008] Specifically, step (a) is achieved through the following operations: Send data acquisition commands to the pre-set stem sap flow sensor, leaf water potential sensor and matrix sensor system; Receive and merge: The fluid flow rate fed back by the sap flow sensor in the stem; Leaf water potential returned by the leaf water potential sensor; The moisture content value reported by the matrix sensor system.

[0009] Specifically, this also includes collecting environmental parameters, including real-time temperature data, and obtaining the liquid flow rate through a compensation process: Obtain the original fluid flow value S0 detected by the heat dissipation method; Calculate the temperature compensation coefficient: In the formula: β is the temperature influence coefficient, which is a calibration value for a specific crop; Real-time ambient temperature; Reference temperature; Calculate the fluid flow rate after compensation: S = k × S0.

[0010] Specifically, leaf water potential is obtained through a computational model: Receive the raw impedance signal from the blade water potential sensor ; Conductivity compensation calculation: In the formula: This is the leaf tissue temperature compensation coefficient; The measured temperature of the blade; For calibration temperature; Stratum corneum drift correction: In the formula: This is a parameter for stratum corneum correction, ranging from 0.25 to 0.35; This is the sunrise reference impedance value, specifically the blade reference impedance value measured at sunrise, used to eliminate the effects of day-night drift.

[0011] Specifically, the preset strategy engine includes: Based on fluid flow rate deviation Leaf water potential deviation and substrate moisture content deviation The calculation results show that when the deviation exceeds a preset deviation threshold, a control mode is triggered. Specifically, when the liquid flow rate exceeds the preset threshold Qth and the leaf water potential is less than the critical value Pcr, the root zone pressurization mode is activated; when the leaf water potential is less than the critical value Pcr, the root zone pressurization mode is activated. The decline during the period was greater than And the substrate moisture content is greater than the safety threshold. At that time, the osmotic pressure decay mode is activated.

[0012] Specifically, the root region boost mode is executed as follows: A pressure control signal is generated and transmitted to the high-pressure root irrigation module; The high-pressure root irrigation module is controlled to maintain a water injection pressure of 0.20MPa-0.30MPa to deliver water to the root zone.

[0013] Specifically, the osmotic pressure decay mode is executed as follows: The osmotic pressure regulation signal is generated and transmitted to the osmotic pressure modulation device; The device is controlled to adjust the concentration of the irrigation solution to the range of 0.10 mol / L-0.20 mol / L.

[0014] According to a second aspect of the present invention, a plant physiologically responsive irrigation system is provided, comprising: Multi-source parameter acquisition unit: acquires liquid flow rate, leaf water potential and substrate moisture content; Decision control unit: used to generate irrigation control commands through a preset strategy engine; The execution terminal group includes a high-pressure root irrigation module and an osmotic pressure modulation device, used to implement the instructions.

[0015] According to a third aspect of the present invention, an electronic device is provided, comprising a processor and a memory, wherein the memory stores a computer program that, when executed, implements the plant physiological responsive irrigation method as described above.

[0016] According to a fourth aspect of the present invention, a computer-readable storage medium is provided, wherein stored program code, when executed by a processor, implements the plant physiological responsive irrigation method as described above.

[0017] Beneficial effects: This invention achieves precise irrigation control driven by plant needs through multi-dimensional physiological parameter fusion analysis and intelligent decision-making mechanisms, with the following specific advantages: 1. Improve the accuracy of physiological state perception: By simultaneously collecting stem sap flow, leaf water potential, and root zone water content, a comprehensive monitoring system for plant water transport is constructed. A unique sensor compensation algorithm (such as temperature drift correction and cuticle impedance correction) significantly improves the reliability of raw data and avoids measurement distortion caused by environmental interference. The system can detect latent water stresses that traditional methods cannot identify; for example, when root zone water content is sufficient but sap flow abnormally decreases, it can be identified as root dysfunction and strategies can be adjusted promptly.

[0018] 2. Achieve dynamic response irrigation decisions: The preset strategy engine triggers differentiated irrigation modes based on multi-parameter logical combinations: during periods of high transpiration, it activates root zone pressure irrigation to enhance water transport; during periods of osmotic stress, it automatically adjusts the irrigation solution concentration to alleviate cell dehydration. This mechanism overcomes the limitations of single-parameter control, enabling irrigation behavior to closely match real-time changes in plant physiological states, avoiding water supply lag or redundancy. It is particularly effective in adapting to sudden environmental changes (such as high temperature and hot, dry winds), effectively preventing sudden physiological drought.

[0019] 3. Optimize resource utilization and crop adaptability: Dual-mode irrigation (pressure boosting / infiltration regulation) can specifically address water stress caused by different factors. High-pressure root irrigation is activated only when sap flow demand surges, reducing energy consumption during regular irrigation; the dynamic infiltration regulation mode promotes water absorption by reducing the concentration of irrigation solution, avoiding root hypoxia caused by excessive soil moisture. The system balances water conservation and efficiency with crop physiological health, making it particularly suitable for precision management of high-value crops.

[0020] 4. Enhance system compatibility and scalability: The hardware design employs a modular architecture, with stem probes and leaf potential sensors adaptable to different crop morphologies. The decision-making algorithm supports customized crop variety parameters, providing flexible solutions for orchards, greenhouses, and other scenarios. Electronic devices and storage media enable rapid deployment and updates of strategies, providing a technological foundation for large-scale agricultural applications. Attached Figure Description

[0021] Figure 1 This is a flowchart illustrating the plant physiologically responsive irrigation method provided in a specific embodiment of the present invention; Figure 2 This is a schematic diagram of the system composition of the plant physiologically responsive irrigation system provided in a specific embodiment of the present invention. Detailed Implementation

[0022] To enable those skilled in the art to better understand the technical solutions of the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Based on the embodiments in this application, other similar embodiments obtained by those skilled in the art without creative effort should all fall within the scope of protection of this application. Furthermore, directional terms mentioned in the following embodiments, such as "up," "down," "left," and "right," are only for reference to the directions in the accompanying drawings; therefore, the directional terms used are for illustrative purposes and not for limiting the invention.

[0023] The present invention will be further described below with reference to the accompanying drawings and preferred embodiments.

[0024] Please see Figure 1 This invention provides a plant physiologically responsive irrigation method, comprising: (a) Real-time collection of sap flow rate, leaf water potential and root zone substrate moisture content parameters of the target plant.

[0025] Specifically, step (a) is achieved through the following operations: Send data acquisition commands to the pre-set stem sap flow sensor, leaf water potential sensor and matrix sensor system; Receive and merge: The fluid flow rate fed back by the sap flow sensor in the stem; Leaf water potential returned by the leaf water potential sensor; The moisture content value reported by the matrix sensor system.

[0026] Specifically, this also includes collecting environmental parameters, including real-time temperature data, and obtaining the liquid flow rate through a compensation process: Obtain the original fluid flow value S0 detected by the heat dissipation method; Calculate the temperature compensation coefficient: In the formula: β is the temperature influence coefficient, which is a calibration value for a specific crop; Real-time ambient temperature; Reference temperature; Calculate the fluid flow rate after compensation: S = k × S0.

[0027] Specifically, leaf water potential is obtained through a computational model: Receive the raw impedance signal from the blade water potential sensor ; Conductivity compensation calculation: In the formula: This is the leaf tissue temperature compensation coefficient; The measured temperature of the blade; For calibration temperature; Stratum corneum drift correction: In the formula: This is a parameter for stratum corneum correction, ranging from 0.25 to 0.35; The sunrise reference impedance value is specifically the leaf reference impedance value measured at sunrise, used to eliminate the influence of diurnal drift; that is, the leaf impedance reference value measured by the leaf water potential sensor at sunrise time every day (such as 06:00), used to correct the cuticle impedance drift caused by diurnal physiological changes.

[0028] It should be further explained that the method specifically includes: 1. Real-time parameter acquisition: Liquid flow rate: A physical quantity that reflects the rate of water transport in a plant (unit: g / h). Leaf water potential: Characterizes the water tension state of leaf cells (unit: MPa); Substrate moisture content: Percentage of soil moisture by volume in the root zone (unit: %); 2. Strategy Engine Decision-Making: The preset strategy engine includes a fuzzy control algorithm, with input parameters being liquid flow rate deviation Es and leaf water potential deviation. and moisture content deviation : : Measured liquid flow rate (g / h); : Crop variety reference solution flow rate (e.g., sweet potato 1200g / h); 3. Instruction execution mechanism: The irrigation execution terminal adopts a tiered response mode: Level 1 response: Maintain current irrigation if the deviation is less than 5%; Secondary response: Secondary response: When the fluid flow rate deviates When the value is positive (measured value greater than the baseline value), increase the irrigation duration by 30%; when When the value is negative (measured value less than the baseline value), reduce the irrigation time by 30%. Adjust the baseline to the preset standard irrigation time. For example, the average daily irrigation duration of crops under baseline conditions; Level 3 response: when deviation , or When the flow rate is greater than 15%, a preset strategy engine is triggered; the strategy engine includes: activating the root zone pressurization mode when the fluid flow rate is greater than a preset threshold Qth and the leaf water potential is less than a critical value Pcr; and activating the root zone pressurization mode when the leaf water potential is greater than 15%. The decline during the period was greater than And the substrate moisture content is greater than the safety threshold. At that time, the osmotic pressure decay mode is activated.

[0029] Among them, leaf water potential deviation , To measure leaf water potential, The baseline leaf water potential for crops (e.g., sweet potato -0.8 MPa); moisture content deviation. , To measure the moisture content, The baseline moisture content for the crop root zone (e.g., 25% for sandy loam).

[0030] The preset strategy engine includes: Based on fluid flow rate deviation Leaf water potential deviation and substrate moisture content deviation The calculation results show that a control mode is triggered when the deviation is greater than 15%. Specifically, when the liquid flow rate is greater than the preset threshold Qth and the leaf water potential is less than the critical value Pcr, the root zone pressurization mode is activated; when the leaf water potential is less than the critical value Pcr, the root zone pressurization mode is activated. The decline during the period was greater than And the substrate moisture content is greater than the safety threshold. At that time, the osmotic pressure decay mode is activated.

[0031] Specifically, the root region boost mode is executed as follows: A pressure control signal is generated and transmitted to the high-pressure root irrigation module; The high-pressure root irrigation module is controlled to maintain a water injection pressure of 0.20MPa-0.30MPa to deliver water to the root zone; Specifically, the osmotic pressure decay mode is executed as follows: The osmotic pressure regulation signal is generated and transmitted to the osmotic pressure modulation device; The device is controlled to adjust the concentration of the irrigation solution to the range of 0.10 mol / L-0.20 mol / L.

[0032] It should be further explained that the present invention designs a liquid flow compensation process: 1. Data acquisition using the heat dissipation method: Heating power: 0.25W; Temperature measurement accuracy: ±0.1℃; 2. Temperature compensation calculation: in: β: Temperature effect coefficient (grapevine 0.038, sweet potato 0.041); : Measured value of ambient temperature sensor (°C); 25℃ (thermodynamic equilibrium standard); 3. Fluid flow value correction: Original value range: 800-2000 g / h; Effective range after compensation: 750-2100 g / h; Calibration cycle: Automatic zeroing calibration at sunrise every day.

[0033] It should be further explained that, regarding the leaf water potential calculation model, the present invention has made the following further design: 1. Conductivity compensation: in: Tissue temperature compensation coefficient (0.025 / ℃); : Infrared temperature readings of the blade (°C); 25℃ (standard physiological temperature); 2. Stratum corneum drift correction: in: α: Stratum corneum correction parameter (0.25-0.35); : Impedance value after compensation (kΩ); : Daily 06:00 reference impedance (to eliminate day and night drift); 3. Water potential conversion: Measuring range: -0.3 to -2.0 MPa; Resolution: 0.02MPa.

[0034] (b) Based on the parameters of step (a), irrigation control instructions are generated through a preset strategy engine.

[0035] Specifically, the preset strategy engine includes: When the liquefaction flow rate is greater than the preset threshold Qth and the leaf water potential is less than the critical value Pcr, the root zone pressurization mode is activated. When the leaf water potential decreases by more than δ during the Δt period and the matrix moisture content is greater than the safety threshold ωs, the osmotic pressure decay mode is activated.

[0036] It should be further explained that, regarding the triggering conditions of the control strategy, the scheme designed in this invention includes: 1. Root zone boost mode: Triggering conditions: in: : Standard fluid flow rate (e.g., 1200 g / h); Critical water potential (sweet potato -0.8MPa, grape -1.0MPa); Maintenance condition: until Greater than +0.2MPa.

[0037] 2. Osmotic pressure decay mode: Triggering conditions: in: Δt: Monitoring window (6 hours); : Safe threshold for matrix moisture content (18% for sandy loam, 25% for clay); Adjustment target: reduce osmotic pressure to 60±5% of its original value.

[0038] (c) Drive the irrigation execution terminal to implement the instructions.

[0039] Specifically, the root region boost mode is executed as follows: A pressure control signal is generated and transmitted to the high-pressure root irrigation module; The high-pressure root irrigation module is controlled to maintain a water injection pressure of 0.20MPa-0.30MPa to deliver water to the root zone.

[0040] It should be further explained that, regarding high-pressure root irrigation, the design scheme of this invention includes: 1. Pressure control signal: Signal type: 4-20mA analog signal; Transmission protocol: Modbus RTU; 2. Water injection pressure control: Dynamic range: 0.20-0.30 MPa; Voltage regulation accuracy: ±0.02MPa; Flow rate matching: calculated based on plant canopy projection area × 1.2 L / m²; 3. Root zone penetration mechanism: Water emitter type: pressure-compensated dripper; Burial depth: 15-20cm; Wetting radius: 35±5cm.

[0041] Specifically, the osmotic pressure decay mode is executed as follows: The osmotic pressure regulation signal is generated and transmitted to the osmotic pressure modulation device; The device is controlled to adjust the concentration of the irrigation solution to the range of 0.10 mol / L-0.20 mol / L.

[0042] It should be further explained that, regarding the osmotic pressure regulation process, the scheme designed in this invention includes: 1. Concentration regulation signal: Command format: JSON data packet {"target_osm": 0.15}; Refresh rate: 5 minutes / time; 2. Operation of the infiltration conditioning device: Stock solution concentration range: 0.5-3.0 mol / L; Dilution water flow rate: according to Calculate; K: mixing coefficient, taken as 0.8 L / (mol·min); Target concentration difference (mol / L); then The unit is L / min, which represents the dilution water flow rate per minute; Execution accuracy: ±0.03mol / L.

[0043] Please see Figure 2 The present invention provides another embodiment, which provides a plant physiologically responsive irrigation system, the plant physiologically responsive irrigation system comprising: Multi-source parameter acquisition unit 100: acquires liquid flow rate, leaf water potential and substrate moisture content.

[0044] It should be further explained that the multi-source parameter acquisition unit 100 is designed as follows: 1. Installation of sap flow sensor on stem: Probe model: Dynagage SGB-19; Installation location: 10±2cm above the ground at the base of the main stem; Sampling frequency: 10 minutes / time; 2. Blade water potential sensor: ZIM-Pro miniature probe is used; Clamping position: the third fully expanded leaf of the canopy; Contact pressure: 0.15N (avoid damaging the mesophyll tissue); 3. Matrix sensor system: Deployment depth: 20 / 40 / 60cm (three layers); Probe spacing: configured according to plant row spacing × 0.6; Data fusion: The 40cm layer is used as the main control layer, and the 20 / 60cm layers are used as the verification layers.

[0045] Decision control unit 200: used to generate irrigation control commands through a preset strategy engine.

[0046] It should be further noted that the decision control unit 200 includes: Processor: ARM Cortex-A53; Algorithm library: Temperature compensation dynamic link library; Stratum corneum correction function package.

[0047] Execution terminal group 300: includes a high-pressure root irrigation module and an osmotic pressure modulation device, used to implement the instructions.

[0048] It should be further noted that the execution terminal group 300 includes: High-pressure root irrigation module: Variable frequency water pump (0-400L / h); Infiltration adjustment device: three-way proportional valve, online EC sensor.

[0049] In a preferred embodiment, this application also provides an electronic device, the electronic device comprising: The computer device includes a memory and a processor, wherein the memory stores computer-readable instructions that, when executed by the processor, implement the plant physiologically responsive irrigation method. The computer device can be broadly categorized as a server, terminal, or any other electronic device with the necessary computing and / or processing capabilities. In one embodiment, the computer device may include a processor, memory, network interface, communication interface, etc., connected via a system bus. The processor of the computer device can be used to provide the necessary computing, processing, and / or control capabilities. The memory of the computer device may include a non-volatile storage medium and internal memory. The non-volatile storage medium may store an operating system, computer programs, etc. The internal memory can provide an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The network interface and communication interface of the computer device can be used to connect and communicate with external devices via a network. When the computer program is executed by the processor, it performs the steps of the method of the present invention.

[0050] This invention can be implemented as a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, causes the steps of the methods of embodiments of the invention to be performed. In one embodiment, the computer program is distributed across multiple network-coupled computer devices or processors, such that the computer program is stored, accessed, and executed in a distributed manner by one or more computer devices or processors. A single method step / operation, or two or more method steps / operations, may be executed by a single computer device or processor or by two or more computer devices or processors. One or more method steps / operations may be executed by one or more computer devices or processors, and one or more other method steps / operations may be executed by one or more other computer devices or processors. One or more computer devices or processors may execute a single method step / operation, or execute two or more method steps / operations.

[0051] Those skilled in the art will understand that the method steps of this invention can be performed by a computer program instructing related hardware, such as a computer device or processor, to perform the steps of this invention when executed. Depending on the context, any references herein to memory, storage, databases, or other media may include non-volatile and / or volatile memory. Examples of non-volatile memory include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, magnetic tape, floppy disk, magneto-optical data storage device, optical data storage device, hard disk, solid-state drive, etc. Examples of volatile memory include random access memory (RAM), external cache memory, etc.

[0052] According to another preferred embodiment of the present invention, a computer-readable storage medium is provided, wherein the stored program code, when executed by a processor, implements the plant physiological responsive irrigation method as described above.

[0053] It should be further explained that, regarding the storage medium program architecture, the solution designed in this invention includes: 1. Leaf water potential calculation model: Code module: defcalc_psi(Z_raw, T_env, T_leaf): Zc=Z_raw*(1+gamma*(T_leaf-T_cal)) return alpha*log(Zc-Z_base) Storage address: 0x3A000-0x3BFFF.

[0054] 2. Pressure regulation execution: Control algorithm: PID closed-loop regulation : Proportional gain (0.8); Integral coefficient (0.05); : Differential coefficient (0.12); This is the output value of the pressure control signal; This represents the error between the setpoint and the measured value of the liquid flow rate.

[0055] 3. Osmotic pressure control: Concentration feedback mechanism: Reads the EC sensor every 30 seconds; Tolerance range: ±0.03mol / L.

[0056] The technical features described above can be combined arbitrarily. Although not all possible combinations of these technical features are described, any combination of these technical features should be considered to be covered by this specification, provided that such combination does not contain contradictions.

[0057] The specific embodiments of the present invention described above do not constitute a limitation on the scope of protection of the present invention. Any other corresponding changes and modifications made in accordance with the technical concept of the present invention should be included within the scope of protection of the claims of the present invention.

Claims

1. A plant physiologically responsive irrigation method, characterized in that, include: (a) Real-time collection of sap flow rate, leaf water potential and root zone substrate moisture content parameters of the target plant; (b) Based on the parameters of step (a), irrigation control instructions are generated through a preset strategy engine; (c) Drive the irrigation execution terminal to implement the instructions.

2. The method according to claim 1, characterized in that, Step (a) is achieved through the following operations: Send data acquisition commands to the pre-set stem sap flow sensor, leaf water potential sensor and matrix sensor system; Receive and merge: The fluid flow rate fed back by the sap flow sensor in the stem; Leaf water potential returned by the leaf water potential sensor; The moisture content value reported by the matrix sensor system.

3. The method according to claim 2, characterized in that, It also includes collecting environmental parameters, including real-time temperature data, and the liquid flow rate is obtained through a compensation process: Obtain the original fluid flow value S0 detected by the heat dissipation method; Calculate the temperature compensation coefficient: In the formula: β is the temperature influence coefficient, which is a calibration value for a specific crop; Real-time ambient temperature; Reference temperature; Calculate the fluid flow rate after compensation: S = k × S0.

4. The method according to claim 3, characterized in that, Leaf water potential is obtained through a computational model: Receive the raw impedance signal Zraw from the blade water potential sensor; Conductivity compensation calculation: In the formula: This is the leaf tissue temperature compensation coefficient; The measured temperature of the blade; For calibration temperature; Stratum corneum drift correction: In the formula: This is a parameter for stratum corneum correction, ranging from 0.25 to 0.35; This is the sunrise reference impedance value, specifically the blade reference impedance value measured at sunrise, used to eliminate the effects of day-night drift.

5. The method according to claim 1, characterized in that, The preset strategy engine includes: Based on fluid flow rate deviation Leaf water potential deviation and substrate moisture content deviation The calculation results show that when the deviation exceeds a preset deviation threshold, a control mode is triggered. Specifically, when the liquid flow rate exceeds the preset threshold Qth and the leaf water potential is less than the critical value Pcr, the root zone pressurization mode is activated; when the leaf water potential is less than the critical value Pcr, the root zone pressurization mode is activated. The decline during the period was greater than And the substrate moisture content is greater than the safety threshold. At that time, the osmotic pressure decay mode is activated.

6. The method according to claim 5, characterized in that, The root region boost mode is executed as follows: A pressure control signal is generated and transmitted to the high-pressure root irrigation module; The high-pressure root irrigation module is controlled to maintain a water injection pressure of 0.20MPa-0.30MPa to deliver water to the root zone.

7. The method according to claim 6, characterized in that, The osmotic pressure decay mode is executed as follows: The osmotic pressure regulation signal is generated and transmitted to the osmotic pressure modulation device; The device is controlled to adjust the concentration of the irrigation solution to the range of 0.10 mol / L-0.20 mol / L.

8. A plant physiologically responsive irrigation system, characterized in that, include: Multi-source parameter acquisition unit: acquires liquid flow rate, leaf water potential and substrate moisture content; Decision control unit: used to generate irrigation control commands through a preset strategy engine; The execution terminal group includes a high-pressure root irrigation module and an osmotic pressure modulation device, used to implement the instructions.

9. An electronic device, characterized in that, It includes a processor and a memory, the memory storing a computer program that, when executed, implements the plant physiologically responsive irrigation method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, When the stored program code is executed by the processor, the plant physiological responsive irrigation method as described in any one of claims 1-7 is implemented.

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