Strong seedling index-based light, warm water and fertilizer coordinated regulation and control method for seedling culture

Abstract

The invention provides a seedling-raising light-temperature-water-fertilizer coordinated regulation and control method based on a strong seedling index. The method comprises the following steps: S1, acquiring morphological data and physiological data of standard seedlings; s2, dynamically setting basic illumination, basic temperature, basic humidity and basic nutrient solution concentration parameters according to the seedling development stage; s3, calculating to obtain a real-time seedling strengthening index, and calculating to obtain a seedling strengthening index deviation through the real-time seedling strengthening index and the standard seedling strengthening index; s4, adjusting basic illumination, basic temperature and basic humidity according to the seedling strengthening index deviation; s5, if the real-time seedling strengthening index is lower than the index threshold value in the specified time period, the nutrient solution concentration is increased and supplemented, and the basic illumination parameters are adjusted. The method has the advantages that the seedling strengthening index is detected in real time, illumination, temperature, humidity and a nutrient solution are adjusted according to deviation, the most suitable growth environment can be provided for seedlings, adjustment is conducted according to the actual requirements of the seedlings, and it is ensured that the seedlings can obtain the optimal growth conditions in all growth stages.

Description

A method for synergistic regulation of light, temperature, water and fertilizer in seedling cultivation based on seedling vigor index Technical Field

[0001] This invention belongs to the field of plant seedling technology, and in particular relates to a method for the coordinated regulation of light, temperature, water and fertilizer in seedling cultivation based on the seedling strength index. Background Technology

[0002] The seedling vigor index, as a comprehensive indicator of seedling quality, has a significant positive correlation with later yield. However, existing seedling control methods generally rely on operator experience and lack sufficient understanding of growth conditions such as light, temperature, water, and nutrients. The following problems exist in actual operation: First, the existing seedling vigor index is calculated based on plant height, stem diameter, leaf area, and leaf number, without fully considering parameters such as chlorophyll content and photosynthetic capacity, resulting in calculations that do not accurately represent the seedling's growth status. Second, the relevant parameters of the seedling vigor index are obtained through manual identification, which is not only inefficient but also subject to human error. Third, when problems arise with the seedling vigor index, adjustments to light and temperature are made based on operator experience, which is not only delayed but also largely dependent on the operator's experience, leading to insufficient achievement of the adjusted seedling vigor index and a low input-output ratio. Fourth, existing parameter adjustments are mostly for single-factor regulation. Light, temperature, water, and fertilizer do not act in isolation; these factors interact and compensate for each other during plant growth, making it difficult to guarantee the regulatory effect. Summary of the Invention

[0003] In view of this, the present invention aims to propose a method for the coordinated regulation of light, temperature, water and fertilizer in seedling cultivation based on the seedling strength index, in order to solve at least one of the above-mentioned technical problems.

[0004] To achieve the above objectives, the technical solution of the present invention is implemented as follows:

[0005] The first aspect of this invention provides a method for synergistic regulation of light, temperature, water, and fertilizer in seedling cultivation based on a seedling vigor index, comprising the following steps:

[0006] S1. Collect morphological and physiological data of standard seedlings, and calculate the standard robust seedling index based on the morphological and physiological data.

[0007] S2. Dynamically set the basic light, basic temperature, basic humidity and basic nutrient solution concentration parameters according to the seedling development stage;

[0008] S3. Collect seedling morphological and physiological data in real time, calculate the real-time seedling strength index, and calculate the seedling strength index deviation by comparing the real-time seedling strength index with the standard seedling strength index.

[0009] S4. Adjust the basic light, basic temperature, and basic humidity according to the deviation of the seedling strength index;

[0010] S5. If the real-time seedling strength index is lower than the index threshold within a specified time period, increase the concentration of supplementary nutrient solution and adjust the basic light parameters.

[0011] Furthermore, the formula for the seedling vigor index of S1 is as follows:

[0012] SQI=λ1×(H / D)+λ2×SPAD+λ3×TTC+λ4×Pn+λ5×z;

[0013] Where SQI is the seedling vigor index, H is the plant height, D is the stem diameter, SPAD is the leaf chlorophyll SPAD value, TTC is the root activity value, Pn is the photosynthetic rate, and z is the seedling vigor rate, with a value range of 0.25-0.35.

[0014] λ1, λ2, λ3, λ4, and λ5 are respectively the morphological ratio coefficient, leaf chlorophyll coefficient, root activity coefficient, photosynthetic rate coefficient, and seedling vigor coefficient;

[0015] The plant height, stem diameter, leaf chlorophyll SPAD value, root activity value, and photosynthetic rate of standard seedlings are collected and input into the seedling strength index formula to obtain the standard seedling strength index.

[0016] Furthermore, in S2:

[0017] The seedling development stages include the germination period, the seedling stage, and the hardening-off period;

[0018] Light parameters are controlled via shade netting and LED plant growth lights;

[0019] Real-time temperature parameters are acquired by a temperature probe embedded in the substrate, and the temperature parameters are controlled by controlling the heater power.

[0020] Real-time humidity parameters are collected by humidity sensors embedded in the substrate, and humidity parameters are controlled by controlling the amount of water applied.

[0021] Furthermore, S3 is specifically as follows:

[0022] The process of collecting seedling height and stem diameter is as follows:

[0023] Images of seedlings are acquired using an industrial camera, and the seedling height and stem diameter are obtained using the OpenCV contour recognition algorithm.

[0024] The process for collecting leaf chlorophyll SPAD values ​​is as follows:

[0025] The chlorophyll content was measured using a handheld chlorophyll meter. Five seedlings were randomly selected from each seedling tray, and the third true leaf was measured three times to obtain the average value.

[0026] Root activity was determined by the TTC reduction method;

[0027] The photosynthetic rate was measured using a portable photosynthesis instrument.

[0028] Furthermore, S4 is implemented using a fuzzy PID control algorithm as follows:

[0029] The rate of change of the seedling index deviation was calculated based on the deviation of the seedling index.

[0030] The input control variables include the seedling strength index deviation and the rate of change of the seedling strength index deviation;

[0031] The domain of the seedling index bias ranges from -0.5 to 0.5, and it is fuzzed using five linguistic values: NB, NS, ZO, PS, and PB.

[0032] The domain of the deviation change rate of the seedling index ranges from -0.1 to 0.1, and is fuzzed using three linguistic values: N, Z, and P.

[0033] The output quantity is the control increment, and the domain of the control increment is from -10 to 10. The control increment corresponds to the control quantity of the actuator: supplementary light intensity, heating power, and solenoid valve opening.

[0034] Using triangular membership functions in fuzzy control;

[0035] Set multiple fuzzy rules;

[0036] Initial PID parameter setting using the Ziegler-Nichols method:

[0037] The proportional coefficient Kp is 0.8, the integral coefficient Ki is 0.05, and the differential coefficient Kd is 0.1.

[0038] Furthermore, S4 includes the following steps:

[0039] S41. Calculate the rate of change of the seedling index deviation based on the seedling index deviation.

[0040] S42. Fuzzification Processing: Input the seedling index deviation and the seedling index deviation change rate into the fuzzification module to obtain the corresponding linguistic values;

[0041] The language values ​​obtained from S43 and S42 are used to infer the control increment based on the set fuzzy rules;

[0042] S44. Use the ΔU value output by fuzzy inference to correct the PID parameters;

[0043] S45. Adjust the supplementary light intensity, heating power, and solenoid valve opening through the PID controller to keep the system working under the target state;

[0044] S46. Every hour, the system will automatically adjust the PID parameters according to the actual situation to ensure continuous system optimization.

[0045] Furthermore, in S5, the index threshold is 0.6, the specified time period is a continuous h hours, and the value of h ranges from 40 to 56 hours.

[0046] Supplement the nutrient solution by spraying it onto the roots of the seedlings;

[0047] Blue light with a wavelength of 450nm was added to the basic illumination parameters.

[0048] A second aspect of the present invention provides an electronic device including a processor and a memory communicatively connected to the processor and used to store processor-executable instructions, the processor being used to perform the method described in the first aspect above.

[0049] A third aspect of the present invention provides a server including at least one processor and a memory communicatively connected to the processor, the memory storing instructions executable by the at least one processor, the instructions being executed by the processor to cause the at least one processor to perform the method as described in the first aspect.

[0050] A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the method described in the first aspect.

[0051] Compared with existing technologies, the seedling cultivation light, temperature, water and fertilizer synergistic regulation method based on seedling vigor index described in this invention has the following beneficial effects:

[0052] The present invention describes a seedling cultivation light, temperature, water and fertilizer synergistic regulation method based on seedling strength index. By real-time detection of the seedling strength index, light, temperature, humidity and nutrient solution are adjusted according to the deviation, which can provide seedlings with the most suitable growth environment and make adjustments according to the actual needs of the seedlings to ensure that the seedlings can obtain the best growth conditions at each growth stage. Attached Figure Description

[0053] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings:

[0054] Figure 1 is a schematic diagram of the collaborative regulation method according to an embodiment of the present invention. Detailed Implementation

[0055] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other.

[0056] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined with "first," "second," etc., may explicitly or implicitly include one or more of that feature. In the description of this invention, unless otherwise stated, "a plurality of" means two or more.

[0057] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art will understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0058] The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0059] Example 1:

[0060] As shown in Figure 1, a method for synergistic regulation of light, temperature, water, and fertilizer in seedling cultivation based on the seedling vigor index includes the following steps:

[0061] S1. Collect morphological and physiological data of standard seedlings, and calculate the standard robust seedling index based on the morphological and physiological data.

[0062] S2. Dynamically set the basic light, basic temperature, basic humidity and basic nutrient solution concentration parameters according to the seedling development stage;

[0063] S3. Collect seedling morphological and physiological data in real time, calculate the real-time seedling strength index, and calculate the seedling strength index deviation by comparing the real-time seedling strength index with the standard seedling strength index.

[0064] S4. Adjust the basic light, basic temperature, and basic humidity according to the deviation of the seedling strength index;

[0065] S5. If the real-time seedling strength index is lower than the index threshold within a specified time period, increase the concentration of supplementary nutrient solution and adjust the basic light parameters.

[0066] The formula for the seedling vigor index of S1 is as follows:

[0067] SQI=λ1×(H / D)+λ2×SPAD+λ3×TTC+λ4×Pn+λ5×z;

[0068] Where SQI is the seedling vigor index, H is the plant height, D is the stem diameter, SPAD is the leaf chlorophyll SPAD value, TTC is the root activity value, Pn is the photosynthetic rate, and z is the seedling vigor rate, with a value range of 0.25-0.35.

[0069] z can be empirically determined to have a range of 0.25–0.35, or it can be calculated using the following formula:

[0070] Using visual inspection and grading, n plants are randomly selected from each tray. The number of strong seedlings m is calculated based on the seedling strength standard. The seedling strength standard is: plant height ≥ height threshold, stem diameter ≥ thickness threshold, number of true leaves ≥ leaf number threshold, and no disease. Taking tomatoes as an example, the qualified standard is plant height ≥ 15cm, stem diameter ≥ 3mm, and number of true leaves ≥ 5.

[0071] z = (m / n) × 0.1 + 0.2;

[0072] λ1, λ2, λ3, λ4, and λ5 are respectively the morphological ratio coefficient, leaf chlorophyll coefficient, root activity coefficient, photosynthetic rate coefficient, and seedling vigor coefficient;

[0073] Taking tomato seedlings as an example, λ1, λ2, λ3, λ4, and λ5 are 0.3, 0.25, 0.2, 0.15, and 0.1, respectively.

[0074] The plant height, stem diameter, leaf chlorophyll SPAD value, root activity value, and photosynthetic rate of standard seedlings are collected and input into the seedling strength index formula to obtain the standard seedling strength index.

[0075] In S2:

[0076] The seedling development stages include the germination period, the seedling stage, and the hardening-off period;

[0077] Light parameters are controlled via shade netting and LED plant growth lights;

[0078] Real-time temperature parameters are acquired by a temperature probe embedded in the substrate, and the temperature parameters are controlled by controlling the heater power.

[0079] Real-time humidity parameters are collected by humidity sensors embedded in the substrate, and humidity parameters are controlled by controlling the amount of water applied.

[0080] Taking tomato seedlings as an example, in the tomato seedling area of ​​the solar greenhouse, the seedling rack adopts a 5-layer three-dimensional structure with a layer height of 40cm. Each layer is filled with 50-cell trays, and the substrate ratio is peat moss:vermiculite:perlite = 3:1:1 (volume ratio). The seedling development stages include germination period, seedling stage, and hardening-off period.

[0081] Germination period (0-7 days): Cover the top of the seedling rack with a black shade net with 100% shading rate. The substrate temperature probe is embedded 2cm deep in the center of the second-cell tray, and the heating wire is controlled to maintain the substrate temperature at 28℃ (6:00-18:00 during the day) and 18℃ (at night). The humidity sensor (SHT30, accuracy ±2%RH) is embedded 1cm deep to maintain humidity at 80-85%. The EC value is measured by leakage at the bottom of the tray and controlled at 0.8mS / cm using a DDS-11A conductivity meter (accuracy ±1%FS).

[0082] Seedling stage (8-25 days): Remove the shade netting and turn on the LED plant grow lights (red light 660nm: blue light 450nm = 4:1), adjusting the light intensity to 300μmol / m² / s using a PWM dimming controller. The light cycle is controlled by a timer as 16 hours of light / 8 hours of darkness. Temperature and humidity settings are adjusted to 22℃±0.5℃ and 65-70%RH. The irrigation threshold is set to a substrate moisture content of 65%, with an irrigation volume of 2mL / hole and an EC value of 1.2-1.5mS / cm.

[0083] Hardening-off period (26-35 days): Increase light intensity to 350 μmol / m² / s, reduce temperature to 18℃±0.5℃, and humidity to 55-60%RH. EC value 1.8-2.0 mS / cm. Implement intermittent drought: Each cycle is 3 days. Irrigate normally for the first 2 days (threshold 65%), and stop irrigation on the 3rd day until the substrate moisture drops to 40% before resuming irrigation.

[0084] Taking tomato seedlings as an example, the standard seedling strength index for each stage is as follows: germination period 0.4, seedling stage 0.7, hardening-off stage 0.8.

[0085] S3 is specifically as follows:

[0086] The process of collecting seedling height and stem diameter is as follows:

[0087] Images of seedlings are acquired using an industrial camera, and the seedling height and stem diameter are obtained using the OpenCV contour recognition algorithm.

[0088] The process for calculating the seedling height and stem diameter is as follows:

[0089] A1. Use an industrial camera to take images of seedlings;

[0090] The images acquired by A2 and A1 are preprocessed to convert the color images into grayscale images, simplify the processing flow, and use Gaussian blur or median filtering to remove noise and reduce interference from false contours.

[0091] A3. Use a binarization algorithm to convert the image into a black and white image in order to better separate the foreground and background;

[0092] A4. In a binary image, use OpenCV's findContours function to extract all obvious object contours;

[0093] Extract the outline of the seedling and the outline of the corresponding marker from all object outlines;

[0094] The outlines of seedlings and markers can be extracted by a trained neural network model, or by calculating the bounding rectangles of the seedling and marker outlines separately and filtering them based on the aspect ratio of the bounding rectangles.

[0095] A5. The outline of the seedling is vertical, and the height pixel value of the bounding rectangle of the outline is used as the plant height value.

[0096] Collect the pixel value of the diameter of the circumcircle of the contour stem, calculate the contour at 20% height of the circumcircle rectangle as the contour stem, and collect the pixel value of the diameter of the circumcircle of this point.

[0097] A6. The plant height is calculated by multiplying the height pixel value by a scaling factor, and the stem diameter is calculated by multiplying the diameter pixel value by a scaling factor.

[0098] The scaling factor is obtained by the following method, with each seedling having a corresponding marker, which can be a ruler or a seedling pot;

[0099] Extract the outline of the seedling corresponding to the outline of the marker in A4, identify the outline height pixel value of the marker, and the ratio of the actual height of the marker to the outline height pixel value is the proportionality coefficient.

[0100] The process for collecting leaf chlorophyll SPAD values ​​is as follows:

[0101] The chlorophyll meter (SPAD-502) was used to measure the chlorophyll content. Five seedlings were randomly selected from each seedling tray, and the third true leaf was measured three times to obtain the average value.

[0102] Root activity was determined using the TTC reduction method, as follows: 0.10 g of fresh root sample was placed in an Erlenmeyer flask containing 5 mL of 0.4% TTC solution and 5 mL of 0.1 mol / L phosphate buffer (pH 7.0) and reacted at 37°C in the dark for 3 h. After terminating the reaction with 2 mL of 1 mol / L sulfuric acid, the generated tribenzoxanone (TTF) was repeatedly extracted with ethyl acetate, and the volume was adjusted to 10 mL. The absorbance was measured at 485 nm using a spectrophotometer, and a TTF standard curve was established using the external standard method. The absorbance was then converted to TTF mass.

[0103] The photosynthetic rate was measured using a portable photosynthesis system (LI-6400XT). The net photosynthetic rate of the fourth true leaf was measured on a sunny morning between 9:00 and 11:00.

[0104] The sensor network adopts an RS485 bus architecture, with one data acquisition node (STM32F103 main controller) configured for each row of seedling racks. The node is connected to four SHT30 temperature and humidity sensors (one for every 10 seedling trays), two PT1000 temperature probes, and one YL-69 humidity sensor.

[0105] The machine vision system consists of three industrial cameras, installed at the front, middle, and rear of the seedling area, respectively, at a vertical height of 80cm from the seedbed. They are connected to an industrial computer (IPC-610L) via a GigE interface. The image acquisition cycle is 4 hours, and the storage format is JPEG.

[0106] All data is aggregated to the gateway via a LoRa wireless module (E22-400T22S, 433MHz) and uploaded to the server database (MySQL 8.0). The system calculates the current SQI value every hour and compares it with the standard seedling index target value for each stage to obtain the deviation ΔSQI.

[0107] The S4 is implemented using a fuzzy PID control algorithm as follows:

[0108] The rate of change of the seedling index deviation was calculated based on the deviation of the seedling index.

[0109] The input control variables include the seedling strength index deviation and the rate of change of the seedling strength index deviation;

[0110] The domain of the seedling index bias ranges from -0.5 to 0.5, and it is fuzzed using five linguistic values: NB, NS, ZO, PS, and PB.

[0111] The domain of the deviation change rate of the seedling index ranges from -0.1 to 0.1, and is fuzzed using three linguistic values: N, Z, and P.

[0112] The output quantity is the control increment, and the domain of the control increment is from -10 to 10. The control increment corresponds to the control quantity of the actuator: supplementary light intensity, heating power, and solenoid valve opening.

[0113] Using triangular membership functions in fuzzy control;

[0114] Set multiple fuzzy rules;

[0115] Initial PID parameter setting using the Ziegler-Nichols method:

[0116] The proportional coefficient Kp is 0.8, the integral coefficient Ki is 0.05, and the differential coefficient Kd is 0.1.

[0117] S4 includes the following steps:

[0118] S41. Calculate the rate of change of the seedling index deviation based on the seedling index deviation.

[0119] S42. Fuzzification Processing: Input the seedling index deviation and the seedling index deviation change rate into the fuzzification module to obtain the corresponding linguistic values;

[0120] The language values ​​obtained from S43 and S42 are used to infer the control increment based on the set fuzzy rules;

[0121] S44. Use the ΔU value output by fuzzy inference to correct the PID parameters;

[0122] S45. Adjust the supplementary light intensity, heating power, and solenoid valve opening through the PID controller to keep the system working under the target state;

[0123] The actuator of a PID controller includes:

[0124] Fill light: LED driver power supply (Meanwell HLG-240H-48A), response time <1ms;

[0125] Heating: Silicone heating wire (12V 30W / m), controlled by an SSR solid-state relay (JGX-1504FA);

[0126] Irrigation: Peristaltic pump (BT100-2J, flow rate 0.07-380mL / min) with solenoid valve (2W-250-25);

[0127] S46. Every hour, the system will automatically adjust the PID parameters according to the actual situation to ensure continuous system optimization.

[0128] By collecting standards and real-time seedling strength indexes, and combining them with sophisticated control algorithms (such as fuzzy PID control), precision agricultural management can be achieved. This not only allows for parameter adjustments for seedlings at different developmental stages, but also enables personalized adjustments based on the real-time growth status of each seedling, thereby ensuring that each seedling receives just the right nutrients and environmental conditions.

[0129] The automated environmental control system reduces inaccurate adjustments that may result from human error and lack of experience. The data-driven control method is more precise and can achieve long-term stable growth environment control.

[0130] In S5, the index threshold is 0.6, the specified time period is a continuous h hours, and the value of h ranges from 40 to 56 hours.

[0131] Supplement the nutrient solution by spraying it onto the roots of the seedlings;

[0132] Blue light with a wavelength of 450nm was added to the basic illumination parameters.

[0133] Taking tomato seedlings as an example, the system continuously monitors the SQI value. When the SQI < 0.6 and remains below 48 hours for more than 48 hours, a repair program is automatically triggered: The nutrient solution formula is as follows: IAA (indoleacetic acid) 0.05 mg / L, seaweed extract (Alternanthera philoxeroides extract) 0.1%, potassium dihydrogen phosphate 1 g / L, prepared with deionized water, and the pH adjusted to 6.0. The solution is sprayed onto the roots using a spray system (nozzle diameter 0.3 mm, pressure 0.3 MPa), at a rate of 5 mL per seedling. In addition to the existing light exposure, a 450 nm blue LED strip (power 10 W / m) is added, with a light intensity of 50 μmol / m² / s, providing 2 hours of illumination daily from 9:00 to 11:00 for 7 consecutive days.

[0134] In the preparation of substrate-based biocontrol, mix the following into each cubic meter of dry substrate:

[0135] Trichoderma harzianum T-22 mycelial powder (content 2×10) 9 CFU / g): 3kg

[0136] Chitosan (degree of deacetylation > 85%): 1 kg

[0137] The substrate pH was adjusted to 6.0-6.2 with citric acid, and sterilized by steam (80℃ for 2 hours) before inoculation. After inoculation, the substrate temperature was maintained at 25-26℃ (controlled by a heating wire) to activate antagonistic bacteria. This treatment achieved a control efficacy of over 85% against Pythium aphanidermatum, the pathogen causing tomato damping-off.

[0138] The various data used to construct the dynamic control model were collected through the following methods:

[0139] Soil data: Multiple sets of sensors are arranged in a grid pattern in the seedling area. Each set of sensors integrates a moisture sensor, a nitrogen content sensor, a phosphorus content sensor, and a potassium content sensor.

[0140] Meteorological data: A small weather station was installed in the seedling area. The weather station was equipped with temperature sensors, humidity sensors, light intensity sensors and rainfall sensors.

[0141] Crop growth status data: Drones equipped with multispectral cameras and infrared thermal imagers regularly patrol and acquire growth status data such as seedling canopy temperature and leaf area index.

[0142] The intelligent irrigation control system adopts the following control strategies:

[0143] Zonal control: Irrigation zones are divided according to the micro-topography of the seedbed. For example, in areas with slopes, a strategy of shortening irrigation intervals but reducing the amount of water per irrigation is adopted to ensure uniform water distribution.

[0144] Equipment control: Based on the real-time monitoring of crop growth differences, irrigation areas are further divided, and precise control of irrigation flow and irrigation time in different areas is achieved by adjusting the solenoid valves and flow meters installed on the irrigation pipeline.

[0145] By monitoring the seedling strength index in real time and precisely adjusting light, temperature, humidity, and nutrient solution concentration based on deviations, the most suitable growth environment can be provided for seedlings. Adjustments can be made according to the actual needs of the seedlings to ensure that each seedling receives the best growth conditions at different growth stages.

[0146] Example 2:

[0147] An electronic device includes a processor and a memory communicatively connected to the processor and used to store processor-executable instructions, the processor being used to execute the method described in Embodiment 1 above.

[0148] Example 3:

[0149] A server includes at least one processor and a memory communicatively connected to the processor, the memory storing instructions executable by the at least one processor to cause the at least one processor to perform the method as described in Embodiment 1.

[0150] Example 4:

[0151] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the method described in Embodiment 1.

[0152] 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 or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims and specification of the present invention.

[0153] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for synergistic regulation of light, temperature, water, and fertilizer in seedling cultivation based on a robust seedling index, characterized in that, Includes the following steps: S1. Collect morphological and physiological data of standard seedlings, and calculate the standard robust seedling index based on the morphological and physiological data; S2. Dynamically set the basic light, basic temperature, basic humidity and basic nutrient solution concentration parameters according to the seedling development stage; S3. Collect seedling morphological and physiological data in real time, calculate the real-time seedling strength index, and calculate the seedling strength index deviation by comparing the real-time seedling strength index with the standard seedling strength index; S4. Adjust the basic light, basic temperature, and basic humidity according to the seedling strength index deviation; S5. If the real-time seedling strength index is lower than the index threshold within a specified time period, increase the concentration of supplementary nutrient solution and adjust the basic light parameters.

2. The method for synergistic regulation of light, temperature, water, and fertilizer in seedling cultivation based on the seedling vigor index according to claim 1, characterized in that: The seedling vigor index formula for S1 is as follows: SQI=λ1×(H / D)+λ2×SPAD+λ3×TTC+λ4×Pn+λ5×z; where SQI is the seedling vigor index, H is the plant height, D is the stem diameter, SPAD is the leaf chlorophyll SPAD value, TTC is the root activity value, Pn is the photosynthetic rate, and z is the seedling vigor rate, with a value range of 0.25-0.35; λ1, λ2, λ3, λ4, and λ5 are the morphological ratio coefficient, leaf chlorophyll coefficient, root activity coefficient, photosynthetic rate coefficient, and seedling vigor rate coefficient, respectively. The plant height, stem diameter, leaf chlorophyll SPAD value, root activity value, and photosynthetic rate of standard seedlings are collected and input into the seedling vigor index formula to obtain the standard seedling vigor index.

3. The method for synergistic regulation of light, temperature, water, and fertilizer in seedling cultivation based on the seedling vigor index according to claim 1, characterized in that, In S2: the seedling development stage includes germination period, seedling period, and hardening period; light parameters are controlled by shading net and LED plant growth lights; real-time temperature parameters are collected by temperature probes buried in the substrate, and temperature parameters are controlled by controlling the heater power; real-time humidity parameters are collected by humidity sensors buried in the substrate, and humidity parameters are controlled by controlling the amount of watering.

4. The method for synergistic regulation of light, temperature, water, and fertilizer in seedling cultivation based on the seedling vigor index according to claim 1, characterized in that, The specific steps of S3 are as follows: The process of collecting seedling height and stem diameter is as follows: the seedling image is acquired through an industrial camera, and the seedling height and stem diameter are obtained through the OpenCV contour recognition algorithm; the process of collecting leaf chlorophyll SPAD value is as follows: the chlorophyll is measured by a handheld chlorophyll meter, 5 seedlings are randomly selected from each seedling tray, and the third true leaf is measured 3 times and the average value is taken; the root activity value is measured by the TTC reduction method; the photosynthetic rate is measured by a portable photosynthesis meter.

5. The method for synergistic regulation of light, temperature, water, and fertilizer in seedling cultivation based on the seedling vigor index according to claim 1, characterized in that, The S4 implementation uses a fuzzy PID control algorithm as follows: the seedling index deviation change rate is calculated based on the seedling index deviation; the input control quantity includes the seedling index deviation and the seedling index deviation change rate; the domain of the seedling index deviation is -0.5 to 0.5, and is fuzzified using 5 linguistic values: NB, NS, ZO, PS, and PB; the domain of the seedling index deviation change rate is -0.1 to 0.1, and is fuzzified using 3 linguistic values: N, Z, and P. The output is the control increment, with a domain ranging from -10 to 10. The control increment corresponds to the control quantity of the actuator: supplementary light intensity, heating power, and solenoid valve opening. Triangular membership functions are used in fuzzy control. Multiple fuzzy rules are set. The Ziegler-Nichols method is used to initially set the PID parameters: proportional coefficient Kp is 0.8, integral coefficient Ki is 0.05, and derivative coefficient Kd is 0.

1.

6. The method for synergistic regulation of light, temperature, water, and fertilizer in seedling cultivation based on the seedling vigor index according to claim 5, characterized in that: S4 includes the following steps: S41. Calculate the seedling index deviation change rate based on the seedling index deviation; S42. Fuzzy processing: Input the seedling index deviation and the seedling index deviation change rate into the fuzzy processing module to obtain the corresponding linguistic values; S43. Based on the set fuzzy rules, infer the control increment from the linguistic values ​​obtained in S42; S44. Use the ΔU value output by fuzzy inference to correct the PID parameters; S45. Adjust the supplementary light intensity, heating power, and solenoid valve opening through the PID controller to keep the system working under the target state; S46. Every hour, the system will automatically adjust the PID parameters according to the actual situation to ensure continuous system optimization.

7. The method for synergistic regulation of light, temperature, water and fertilizer in seedling cultivation based on the seedling strength index according to claim 1, characterized in that: In S5, the index threshold is 0.6, the specified time period is a continuous h hours, and the value of h ranges from 40 to 56 hours; the supplementary nutrient solution is sprayed onto the roots of the seedlings in the form of a spray; and blue light with a wavelength of 450nm is added on top of the basic light parameters.

8. An electronic device comprising a processor and a memory communicatively connected to the processor and used for storing processor-executable instructions, characterized in that: The processor is used to execute the method described in any one of claims 1-7.

9. A server, characterized in that: The method includes at least one processor and a memory communicatively connected to the processor, the memory storing instructions executable by the at least one processor, the instructions being executed by the processor to cause the at least one processor to perform the method as described in any one of claims 1-7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, it implements the method described in any one of claims 1-7.

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