Irrigation methods based on plant growth models

Abstract

This invention provides a water supply irrigation method based on a plant growth model. By acquiring substrate water content, photosynthetic indicators, and growth indicators during vegetation growth, and establishing a regression model based on these parameters, it can accurately determine the critical value of relative substrate water content under different photosynthetic and growth indicators. Then, based on this critical value, it can divide the irrigation threshold into graded intervals. This not only overcomes the limitations of traditional research that relies solely on a single photosynthetic physiological indicator to assess water suitability, but also makes up for the deficiency of ignoring the differences in water demand at different stages of the entire vegetation growth cycle. It achieves precise regulation and efficient utilization of water resources in ecological restoration projects on steep slopes in high-altitude and cold regions, improves the adaptability and scientific nature of irrigation strategies, provides strong support for healthy vegetation growth, and optimizes water resource management.

Description

Technical Field

[0001] This invention relates to the field of plant irrigation technology, and in particular to a water supply irrigation method based on a plant growth model. Background Technology

[0002] China is the world's largest producer and consumer of fertilizers, but also a country with relatively low agricultural water use efficiency. Agricultural water use accounts for a large proportion of the country's total water consumption, but the contradiction between water scarcity and insufficient utilization efficiency is becoming increasingly prominent. my country's per capita available freshwater resources are significantly lower than the world average, and their distribution is uneven across regions with large seasonal fluctuations, particularly severe in arid northern regions. Against this backdrop, the country attaches great importance to the efficient use of agricultural resources, promoting the widespread application of integrated water and fertilizer technology and intelligent irrigation automatic control technology to alleviate agricultural water pressure and improve resource utilization efficiency.

[0003] However, due to the cold climate, scarce rainfall, high wind speeds, and fragile ecosystems, ecological restoration in my country's high-altitude and cold regions faces unique challenges. The poor soil conditions and difficult construction in steep slope areas mean that while traditional ecological restoration techniques (such as hydroseeding and thick-layer substrate hydroseeding) have achieved some success, problems such as soil erosion due to over-irrigation, poor substrate aeration, and water waste are common during vegetation restoration.

[0004] Existing intelligent irrigation systems have improved water resource utilization efficiency through dynamic monitoring and precise control technologies. However, most of them rely on photosynthesis-related indicators to assess water suitability and lack systematic analysis of vegetation growth indicators, which affects the scientific nature of irrigation strategies. Summary of the Invention

[0005] This invention provides a water supply irrigation method based on a plant growth model to solve the technical problem that the lack of systematic analysis of vegetation growth indicators in existing technologies affects the scientific validity of irrigation strategies.

[0006] This invention provides a water supply irrigation method based on a plant growth model, the method comprising: Obtain the substrate water content parameters for vegetation growth, and obtain the photosynthetic and growth parameters of the plants. A regression model was established based on the substrate moisture content, photosynthetic index, and growth index parameters. Based on the regression model, the critical values ​​of relative water content of the substrate under the photosynthetic index and growth index parameters are determined. The irrigation threshold grading intervals are determined based on the critical value of the relative moisture content of the substrate; Based on the plant growth cycle stage and vegetation restoration goals, select irrigation threshold grading ranges.

[0007] According to the present invention, a water supply irrigation method based on a plant growth model is provided, wherein the photosynthetic indicators include net photosynthetic rate and water use efficiency; and the growth indicators include vegetation cover, plant height and water use efficiency.

[0008] According to the present invention, a water supply irrigation method based on a plant growth model is provided, wherein determining the critical value of the relative water content of the substrate under the photosynthetic index and growth index parameters according to the regression model includes: The photosynthetic and growth parameters of plants were compiled and preprocessed. The photosynthetic and growth parameters were analyzed using the least significant difference test based on the variance analysis method. Using data visualization tools, multinomial fitting was performed on the results of significant differences to establish a regression model between plant photosynthetic and growth indicators and substrate water content, and the integral of the regression model was calculated. The significance of the regression model was verified using the F-test.

[0009] According to the present invention, a water supply irrigation method based on a plant growth model is provided, wherein the substrate irrigation threshold grading range includes: Photosynthetic characteristics classification range: no-yield and ineffective water, low-yield and inefficient water, medium-yield and medium-efficiency water, medium-yield and high-efficiency water, high-yield and high-efficiency water; Growth characteristic grading ranges: no cover and no fast water, low cover and low fast water, medium cover and medium fast water, high cover and medium fast water, high cover and high fast water.

[0010] According to the water supply irrigation method based on a plant growth model provided by the present invention, the selection rule for the irrigation threshold grading interval is as follows: In the early stages of maintenance: select a water content threshold within the range of high-coverage, high-efficiency water or high-coverage, high-speed water to promote rapid vegetation recovery; Later stage of maintenance: Select a water content threshold within the range of medium-yield high-efficiency water or medium-coverage medium-speed water to improve water use efficiency.

[0011] According to the present invention, a water supply irrigation method based on a plant growth model is provided, wherein obtaining the substrate water content parameter for vegetation growth includes: Control temperature, humidity, light intensity, and wind speed; The system uses sensors to monitor substrate moisture content, plant physiological indicators, and growth data in real time.

[0012] According to the present invention, a water supply irrigation method based on a plant growth model is provided, wherein obtaining the substrate water content parameter for vegetation growth includes... The substrate moisture content parameter is controlled to be maintained at a preset moisture content; Calculate water consumption w 设 To determine the design quality moisture content, w 测 To measure the actual mass moisture content, m 耗 The water consumption per pot of ryegrass, in m 干 The dry weight of the hydroseeding substrate per pot; The consumed water is replenished to the hydroseeding substrate using micro-sprinkler atomizing nozzles.

[0013] The present invention also provides an irrigation system, comprising: The data acquisition module is used to obtain parameters such as substrate water content, photosynthetic indicators, and growth indicators of vegetation. The modeling and analysis module is connected to the data acquisition module. The modeling and analysis module establishes a regression model based on the substrate moisture content, photosynthetic index and growth index parameters. The module determines the critical value of the relative moisture content of the substrate corresponding to the photosynthetic and growth indexes based on the regression model, and divides the irrigation threshold grading intervals according to the critical value. The decision control module, connected to the modeling and analysis module, is used to select irrigation threshold grading intervals based on the plant growth cycle stage and vegetation restoration target. The irrigation execution module, connected to the decision control module, is used to initiate irrigation when the substrate moisture content is lower than the lower limit of the selected range.

[0014] According to the irrigation system provided by the present invention, the data acquisition module includes: Substrate moisture sensor to monitor substrate moisture content parameters in real time; Plant physiological monitoring instrument to measure net photosynthetic rate and water use efficiency; The image acquisition unit collects image information of vegetation and obtains vegetation cover and plant height data through image analysis.

[0015] The water supply irrigation method based on a plant growth model provided by this invention obtains the substrate water content, photosynthetic index, and growth index parameters during vegetation growth, and establishes a regression model based on these parameters. This model can accurately determine the critical value of the relative substrate water content under different photosynthetic and growth indices, and then divide the irrigation threshold into graded intervals based on the critical value. This not only overcomes the limitation of traditional research that relies solely on a single photosynthetic physiological index to assess water suitability, but also makes up for the deficiency of ignoring the differences in water demand at different stages of the entire vegetation growth cycle. It achieves precise regulation and efficient utilization of water resources in ecological restoration projects on steep slopes in high-altitude and cold regions, improves the adaptability and scientific nature of irrigation strategies, provides a strong guarantee for the healthy growth of vegetation, and optimizes water resource management. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a schematic diagram of the water supply irrigation method based on a plant growth model provided by the present invention. Figure 2 This is a graph showing the relationship between the relative moisture content of the substrate and the plant height growth rate. Figure 3 A coordinate axis diagram showing the appropriate water content threshold for hydroseeding substrate based on the growth characteristics of ryegrass at maturity. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0019] The following is combined Figure 1 This invention describes a water supply irrigation method based on a plant growth model, the method comprising: Obtain the substrate water content parameters for vegetation growth, and obtain the photosynthetic and growth parameters of the plants. A regression model was established based on the substrate moisture content, photosynthetic index, and growth index parameters. Based on the regression model, the critical values ​​of relative water content of the substrate under the photosynthetic index and growth index parameters are determined. The irrigation threshold grading intervals are determined based on the critical value of the relative moisture content of the substrate; Based on the plant growth cycle stage and vegetation restoration goals, select irrigation threshold grading ranges.

[0020] The plant growth cycle stages include the jointing stage, the booting stage, the heading stage, the flowering stage, and the maturity stage. The goals of vegetation restoration include rapid coverage, efficient growth, and optimized water use efficiency.

[0021] By acquiring parameters of substrate water content, photosynthetic indices, and growth indices during vegetation growth, and establishing regression models based on these parameters, the critical values ​​of relative substrate water content under different photosynthetic and growth indices can be accurately determined. Furthermore, irrigation threshold grading intervals can be established based on these critical values. This not only overcomes the limitations of traditional research that relies solely on a single photosynthetic physiological indicator to assess water suitability, but also compensates for the neglect of differences in water demand at different stages throughout the vegetation's growth cycle. It enables precise regulation and efficient utilization of water resources in ecological restoration projects on steep slopes in high-altitude and cold regions, improves the adaptability and scientific nature of irrigation strategies, provides strong support for healthy vegetation growth, and optimizes water resource management.

[0022] Specifically, step 110: First, design the experiment: The parameters for obtaining the substrate moisture content for vegetation growth include: Control temperature, humidity, light intensity, and wind speed; The system uses sensors to monitor substrate moisture content, plant physiological indicators, and growth data in real time.

[0023] Determine the spraying materials and their proportions based on the actual application.

[0024] Table 1. Information on Hydroseeding Materials Table 2 Material ratios for the matrix layer and seed layer The seed layer sowing amount is calculated using the following formula: W = G × Q / (1000 × P × R) In the formula: W -- the amount of plant seeds sown (g·m³) -2 ); G -- Desired plant density (plants·m) -2 ); Q--1000-seed weight (g), (actual measurement); P -- Seed purity, (%), (measured); R--Seed germination rate, (%), (actual measurement).

[0025] Test setup: To avoid the impact of rainfall, planting pots can be used on the flat ground of the rain shelter to simulate the spraying of topsoil for greening.

[0026] Determine the size of the planting pot according to the actual situation, and make holes in the bottom of the planting pot for drainage.

[0027] Using a hydroseeding machine, the soil is sprayed into the planting pots in layers according to the material ratio.

[0028] Micro-sprinkler atomizing nozzles are used to irrigate and maintain the hydroseeding substrate, keeping it fully moist (each irrigation should be carried out until water does not accumulate on the surface of the hydroseeding substrate) to ensure that the seeds have sufficient moisture for germination.

[0029] One month after curing, the moisture content of the hydroseeding substrate was controlled (mass moisture content, the same below), and the field water holding capacity and bulk density of the hydroseeding substrate were measured using the ring cutter method.

[0030] As needed, set multiple moisture content gradients (relative water content, RWC) of the hydroseeding substrate, with multiple replicates for each gradient. (For example, five gradients can be set to 100%, 85%, 70%, 55%, and 40% of field capacity, which corresponds to actual substrate mass moisture content of 30.36%, 25.81%, 21.25%, 16.70%, and 12.14%.) Method for controlling the moisture gradient of hydroseeding substrate: Measure the moisture content of the hydroseeding substrate daily at 4 PM using a soil moisture meter (converted from bulk density to mass moisture content). Take three measurements per pot and average the results. Calculate the water consumption using the formula: In the formula: w 设 --Design quality moisture content (%) w 测 --Measured mass moisture content (%), calculated based on the measured value of the soil moisture meter and the bulk density; m 耗 --Water consumption per pot of ryegrass (g) m 干 --The dry weight (g) of each hydroseeding substrate can be calculated from the substrate volume and bulk density.

[0031] The consumed water is replenished to the hydroseeding substrate using micro-sprinkler atomizing nozzles to maintain the substrate moisture content at the designed level.

[0032] This step enables experiments to simulate the on-site environment in a laboratory or other off-site setting, allowing for the study of vegetation's response to water content, which is beneficial for scientific analysis and research.

[0033] Step 120: Index Measurement Several growth stages of the selected plant (such as jointing stage, booting stage, heading stage, flowering stage, and maturity stage) were selected, and its growth and physiological indicators were observed.

[0034] (1) Physicochemical properties of hydroseeding substrate ① The substrate bulk density, field water holding capacity, saturated water holding capacity, non-capillary porosity, capillary porosity, and total porosity were measured using the ring cutter method (three planting pots can be measured, and the average value is taken for each planting pot, and the measurement time is 15 days after spraying).

[0035] ②The methods for determining the content of total nitrogen, available nitrogen, total phosphorus, available phosphorus, total potassium, available potassium and pH value in the substrate are as described in the "Handbook of Soil Agrochemical Analysis".

[0036] (2) Photosynthetic characteristics On a clear, cloudless day, a portable photosynthesis meter was used to measure parameters such as the net photosynthetic rate (Pn) of ryegrass leaves.

[0037] (3) Growth characteristics ①Vegetation cover (Vc): Take a photo perpendicular to the vegetation and 1m above the top of the vegetation, and then process the photo with Adobe Photoshop CS6 (manufactured by Adobe Systems Incorporated) to extract the vegetation cover.

[0038] ② Plant height and plant height growth rate (Sg): Measure the vertical height from the base of the plant stem to the highest point of the plant's branches and leaves using a measuring tape. According to the formula, plant height growth rate (Sg) = height difference between two intervals (cm) / interval time (d).

[0039] Step 130: Data Processing A regression model was established based on the substrate moisture content, photosynthetic index, and growth index parameters.

[0040] First, data on substrate water content (such as relative substrate water content RWC), photosynthetic indices (such as net photosynthetic rate Vc, water use efficiency WUE), and growth indices (such as vegetation cover Sg, plant height, etc.) during vegetation growth are obtained through sensors or laboratory measurements.

[0041] In the specific scheme, determining the critical values ​​of relative substrate water content corresponding to the photosynthetic index and growth index parameters based on the regression model includes: Microsoft Excel was used to organize and preprocess the photosynthetic and growth parameters of plants, and to standardize and remove outliers. Analysis of variance was used to perform the least significant difference test on the photosynthetic and growth parameters after processing. Specifically, IBM SPSS Statistics was used to perform the LSD test. Correlation analysis was then conducted on the three types of parameters using IBM SPSS Statistics software to screen out the combinations of variables with significant correlation. Using the data visualization tool (Origin Pro), we performed multinomial fitting on the results of significant differences, established a regression model of plant photosynthetic and growth indicators with substrate water content, calculated the integral form of the regression model, and derived the integral expression of the model to describe the cumulative effect of water changes on vegetation growth. The significance of the regression model is verified by the F-test to ensure that its fitting accuracy meets the needs of practical applications.

[0042] Overcoming the limitations of traditional research that relies solely on a single indicator (such as photosynthetic rate) to assess water suitability, this model significantly improves the accuracy and adaptability of irrigation strategies through multi-indicator joint modeling. For example, in the ecological restoration of steep slopes, the model can dynamically adjust the irrigation threshold range (e.g., "high-coverage, high-speed water" or "medium-coverage, medium-speed water") based on the differences in water requirements during the germination, growth, and stabilization stages of vegetation. This ensures rapid vegetation establishment while avoiding resource waste caused by over-irrigation. Furthermore, the model can be adapted to different plant species (such as ryegrass and hardy forage grasses) and substrate types (such as hydroseeding materials), providing universal solutions for ecological restoration in complex environments and ultimately achieving synergistic optimization of water resource utilization efficiency and vegetation restoration effects.

[0043] Step 140: Analysis of suitable water content critical values Specifically, the photosynthetic indicators include net photosynthetic rate and water use efficiency; the growth indicators include vegetation cover, plant height, and water use efficiency.

[0044] Based on the regression model established in step 130, the critical values ​​of relative water content (RWC) of the hydroseeding substrate corresponding to the maximum and average values ​​of each photosynthetic characteristic (net photosynthetic rate (Pn), water use efficiency (WUE)) and growth characteristic (vegetation cover (Vc), plant height growth rate (Sg)) are calculated. The relative water content (RWC) values ​​of the substrate corresponding to the key critical points are extracted, such as the maximum photosynthetic rate Vc. max Average value Vc ave Maximum vegetation cover Sg max Average value Sg ave And so on, and perform threshold grading, such as Figure 2 As shown.

[0045] It can be divided into: Photosynthetic characteristics classification range: no-yield and ineffective water, low-yield and inefficient water, medium-yield and medium-efficiency water, medium-yield and high-efficiency water, high-yield and high-efficiency water; Growth characteristic grading ranges: no cover and no fast water, low cover and low fast water, medium cover and medium fast water, high cover and medium fast water, high cover and high fast water.

[0046] For example, Table 3 classifies the suitable moisture content thresholds for hydroseeding substrates based on the photosynthetic characteristics of ryegrass at maturity. Note a: Pn =0 is the hydration compensation point. Pn （sl→nsl） This is the inflection point of Pn porosity limitation. Pn ave for Pn Take the average point, Pn max for Pn Take the maximum value point. WUE ave for WUE Take the average point, WUE max for WUE Take the maximum value. All moisture contents in the table are relative moisture contents of the matrix. RWC ).

[0047] Table 4. Classification of suitable moisture content thresholds for hydroseeding substrate based on the growth characteristics of ryegrass at maturity. Note a : Vc ave for Vc Take the average point, Vc max for Vc Take the maximum value point. Sg ave for Sg Take the average point, Sg max for WUE Take the maximum value. All moisture contents in the table are relative moisture contents of the matrix. RWC ).

[0048] Taking the jointing stage as an example, this study analyzes the critical value and threshold classification of suitable substrate moisture content based on the growth characteristics of ryegrass. Table 5 Regression model of vegetation cover and relative substrate moisture content of ryegrass at different growth stages Note: x represents the relative moisture content (RWC) of the hydroseeding substrate.

[0049] I. Calculation and processing of vegetation cover (Vc) at the jointing stage 1. Regression model (see Table 5, which is fitted to data points obtained from actual experiments) 2. Find the RWC (optimal water content) corresponding to the maximum value. Take the derivative and set it to 0: Verification: Under this RWC, the vegetation cover is the highest, which is Vc max =87.45%.

[0050] 3. Find the RWC (moisture compensation point) when Vc=0. The formula is rearranged into a standard quadratic equation, using: Substitute: a=–0.0218, b=3.9622, c=–92.5810 Δ=(3.9622)²−4×(−0.0218)×(−92.5810)≈15.70 x1≈27.54%, x2≈154.21% (discarded) Therefore, the lower limit of RWC compensation is 27.54%.

[0051] 4. Calculate the RWC (i.e., Vc) corresponding to the average level. ave ) Steps for integral calculation: Substituting 40 and 100 into the integral result, we get: Then solve the equation: Vc(x) = 71.41 By solving: Solving for the given information, we get: x≈63.75% and 118.00% (discarded) Therefore, the average starting RWC is 63.75%.

[0052] II. Calculation and processing of plant height growth rate (Sg) at the jointing stage Table 6. Regression Model of Plant Height Growth Rate and Relative Substrate Moisture Content at Different Growth Stages of Ryegrass Note: x represents the relative moisture content (RWC) of the hydroseeding substrate.

[0053] 1. Regression model (see Table 6) Sg=−0.6507+0.0270x−0.00016x 2 2. Find the RWC corresponding to the maximum value. Take the derivative and set it to 0: have to This is the optimal RWC point, corresponding to... .

[0054] 3. Find the RWC compensation point where Sg=0. Solve using the same method: −0.00016x2+0.0270x−0.6507=0 Solving for the given information, we get: x1≈29.13%, x2≈139.62% (discarded) Therefore, the lower limit of RWC compensation is 29.13%.

[0055] 4. Calculate the RWC (Sg_ave) corresponding to the average level. Regression integral determines Sg ave =0.41cm / d Solve the equation: After simplification: Find: x≈62.24%, 106.51% (discarded) Therefore, the starting RWC for a medium level is 62.24%.

[0056] III. Threshold Division Explanation RWC < Compensation lower limit (27.54%~29.13%): Vc / Sg≈0, plants cannot grow (no cover, no growth stage).

[0057] Compensation lower limit ~ average starting (approximately 29%~62%): slow growth (low cover and low growth rate).

[0058] Average starting point to optimal point (approximately 62% to 84%): Entering a stable growth period (medium-capped medium-speed / high-capped medium-speed).

[0059] Optimal performance ~100% (84%~100%): Highest growth performance (high coverage and high speed).

[0060] like Figure 3 As shown, the coordinate axis for classifying the appropriate moisture content threshold of the hydroseeding substrate based on the growth characteristics of ryegrass at maturity is shown.

[0061] In the ecological restoration of steep slopes, by dividing the area into "high-coverage, high-speed water" zones (70.00%~85.35% RWC), rapid vegetation coverage can be achieved in the early stages of restoration. Switching to the "medium-coverage, medium-speed water" zone (52.80%~70.00% RWC) in the later stages reduces irrigation water consumption by 30% while maintaining vegetation stability. Furthermore, the dynamic grading of threshold values ​​supports adaptive adjustments for different plants (such as hardy forage grasses and ryegrass) and substrate types (such as hydroseeding materials), solving the problem of a "one-size-fits-all" approach to irrigation thresholds in existing technologies. Ultimately, by precisely matching vegetation needs with water supply, water resource utilization efficiency is improved by over 40%, and vegetation cover is increased by over 25%, significantly enhancing the scientific rigor and adaptability of irrigation strategies.

[0062] Further, step 150: Selection of irrigation threshold: Based on the water requirements and different restoration goals of hydroseeding vegetation restoration at different stages, the substrate moisture content was selected to determine the irrigation threshold. The selection rules for the irrigation threshold grading range are as follows: In the early stages of maintenance: select a water content threshold within the range of high-coverage, high-efficiency water or high-coverage, high-speed water to promote rapid vegetation recovery; Later stage of maintenance: Select a water content threshold within the range of medium-yield high-efficiency water or medium-coverage medium-speed water to improve water use efficiency.

[0063] Based on the substrate moisture content threshold grading range determined in step 140, such as "high coverage and high speed water" 70.00%~85.35% RWC, "medium coverage and medium speed water" 52.80%~70.00% RWC, and combined with the vegetation growth stage and restoration goals, such as rapid coverage, efficient growth, and optimized water use efficiency, irrigation strategies are dynamically matched.

[0064] For example, during the germination stage of ryegrass, the "low cover, low water rate" range (39.04%–52.80% RWC) is selected to maintain substrate moisture and promote seed germination; during the growing season, the "high cover, high water rate" range (70.00%–85.35% RWC) is selected to rapidly increase vegetation cover from 30% to over 80% through high water content; and during the stabilization period, the range is switched to "medium cover, medium water rate" (52.80%–70.00% RWC) to maintain vegetation stability and reduce irrigation water consumption through medium water content.

[0065] The irrigation method provided by this invention can provide a more comprehensive basis for setting irrigation decisions according to different irrigation needs, improve the ecological and economic benefits of irrigation, use different plant species and substrates, measure different indicators at multiple growth stages of plants, study the relationship between vegetation restoration and water content, and can be applied to the confirmation of irrigation thresholds for ecological restoration, with a wide range of applications.

[0066] The present invention also provides an irrigation system, comprising: The data acquisition module is used to obtain parameters such as substrate water content, photosynthetic indicators, and growth indicators of vegetation. The data acquisition module includes: The substrate moisture sensor employs a high-precision soil moisture sensor, specifically a TDR (Time Domain Reflectometer) or FDR (Frequency Domain Reflectometer), to monitor substrate moisture content parameters in real time. The sensor is vertically inserted into the hydroseeding substrate layer to a depth of 1 / 2 to 2 / 3 of the substrate layer thickness, avoiding proximity to substrate edges or densely rooted areas to minimize local disturbance. Substrate moisture content data is automatically collected hourly and uploaded in real-time to the modeling and analysis module via a wireless transmission module, which can be either LoRa or Wi-Fi. The plant physiological monitoring instrument uses a portable photosynthesis measuring instrument, specifically a Li-Cor6400XT, to measure net photosynthetic rate and water use efficiency. The specific measurement steps are existing well-known technologies and will not be elaborated in this application. The image acquisition unit uses a high-resolution industrial camera to acquire images of the vegetation. Vegetation cover and plant height data are obtained through image analysis. The camera is fixed vertically, 1 meter from the top of the vegetation, ensuring the shooting range covers the entire planting pot. Vegetation images are automatically captured at a fixed time each day; in this embodiment, 10:00 AM is selected. Noise is removed and contrast and brightness are adjusted using image processing software. The percentage of vegetation pixels is extracted using an image binarization algorithm to calculate the vegetation cover (Vc). Plant height is calculated using a calibration ruler method, and the plant height growth rate (Sg) is derived by combining time-series data. The method for obtaining vegetation cover and plant height data through image analysis is a known existing technology, and its specific steps will not be elaborated further.

[0067] The modeling and analysis module is connected to the data acquisition module. The modeling and analysis module establishes a regression model based on the substrate moisture content, photosynthetic index and growth index parameters. The module determines the critical value of the relative moisture content of the substrate corresponding to the photosynthetic and growth indexes based on the regression model, and divides the irrigation threshold grading intervals according to the critical value. The decision control module, connected to the modeling and analysis module, is used to select irrigation threshold grading intervals based on the plant growth cycle stage and vegetation restoration target. The irrigation execution module, connected to the decision control module, is used to initiate irrigation when the substrate moisture content is lower than the lower limit of the selected range.

[0068] The plant growth cycle stages include jointing, booting, heading, flowering, and maturity. Vegetation restoration goals include rapid coverage, efficient growth, and optimized water use efficiency. For example, during the jointing stage of ryegrass, a "low-coverage, low-speed watering" method with 39.04%~52.80% RWC is selected to promote germination. During the booting, heading, and flowering stages, the method is switched to "high-coverage, high-speed watering" with 70.00%~85.35% RWC to accelerate vegetation cover. During the maturity stage, the method is adjusted to "medium-coverage, medium-speed watering" to reduce irrigation volume and maintain stability.

[0069] It has improved water resource utilization efficiency and increased vegetation coverage. At the same time, through precise threshold grading, it has avoided soil erosion and decreased substrate aeration caused by over-irrigation, providing a scientific and efficient irrigation solution for ecological restoration in high-altitude and cold regions.

[0070] An electronic device may include a processor, a communications interface, memory, and a communication bus, wherein the processor, communications interface, and memory communicate with each other via the communication bus. The processor can invoke logical instructions from the memory to execute an irrigation method.

[0071] Furthermore, the logical instructions in the aforementioned memory can be implemented as software functional units and sold or used as independent products, and can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0072] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is able to execute the irrigation methods provided by the above methods.

[0073] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the irrigation methods provided by the methods described above.

[0074] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0075] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0076] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A water supply irrigation method based on a plant growth model, characterized in that, Obtain the substrate water content parameters for vegetation growth, and obtain the photosynthetic and growth parameters of the plants. A regression model was established based on the substrate moisture content, photosynthetic index, and growth index parameters. Based on the regression model, the critical values ​​of relative water content of the substrate under the photosynthetic index and growth index parameters are determined. The irrigation threshold grading intervals are determined based on the critical value of the relative moisture content of the substrate; Based on the plant growth cycle stage and vegetation restoration goals, select irrigation threshold grading ranges.

2. The water supply irrigation method based on a plant growth model according to claim 1, characterized in that, The photosynthetic indicators include net photosynthetic rate and water use efficiency; the growth indicators include vegetation cover, plant height, and water use efficiency.

3. The water supply irrigation method based on a plant growth model according to claim 1, characterized in that, The step of determining the critical values ​​of relative substrate water content corresponding to the photosynthetic index and growth index parameters based on the regression model includes: The photosynthetic and growth parameters of plants were compiled and preprocessed. The photosynthetic and growth parameters were analyzed using the least significant difference test based on the variance analysis method. Using data visualization tools, multinomial fitting was performed on the results of significant differences to establish a regression model between plant photosynthetic and growth indicators and substrate water content, and the integral of the regression model was calculated. The significance of the regression model was verified using the F-test.

4. The water supply irrigation method based on a plant growth model according to claim 1, characterized in that, The substrate irrigation threshold grading range includes: Photosynthetic characteristics classification range: no yield and ineffective water, low yield and low efficiency water, medium yield and medium efficiency water, medium yield and high efficiency water, high yield and high efficiency water; Growth characteristic grading ranges: no cover and no fast water, low cover and low fast water, medium cover and medium fast water, high cover and medium fast water, high cover and high fast water.

5. The water supply irrigation method based on a plant growth model according to claim 4, characterized in that, The rules for selecting irrigation threshold grading intervals are as follows: In the early stages of maintenance: select a water content threshold within the range of high-coverage, high-efficiency water or high-coverage, high-speed water to promote rapid vegetation recovery; Later stage of maintenance: Select a water content threshold within the range of medium-yield high-efficiency water or medium-coverage medium-speed water to improve water use efficiency.

6. The water supply irrigation method based on a plant growth model according to claim 1, characterized in that, The parameters for obtaining the substrate moisture content for vegetation growth include: Control temperature, humidity, light intensity, and wind speed; The system uses sensors to monitor substrate moisture content, plant physiological indicators, and growth data in real time.

7. The water supply irrigation method based on a plant growth model according to claim 1, characterized in that, The parameters for obtaining the substrate moisture content for vegetation growth include: The substrate moisture content parameter is controlled to be maintained at a preset moisture content; Calculate water consumption w 设 To determine the design quality moisture content, w 测 To measure the actual mass moisture content, m 耗 The water consumption per pot of ryegrass, in m 干 The dry weight of the hydroseeding substrate per pot; The consumed water is replenished to the hydroseeding substrate using micro-sprinkler atomizing nozzles.

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