Accurate water and fertilizer coordinated regulation and control system and method for corn high-protein cultivation under high-temperature and drought conditions

Abstract

The invention relates to the technical field of crop nutrition regulation and control, in particular to a precise water and fertilizer coordinated regulation and control system and method for corn high-protein cultivation under high-temperature and drought conditions, and the method comprises the following steps: acquiring a soil moisture content value and a root layer nitrogen reservoir level of a target field in real time from a corn jointing stage to a filling stage; when the soil moisture content value is lower than a preset threshold value, calculating a water-nitrogen collaborative deficit index in combination with a root layer nitrogen reservoir level; matching a water and fertilizer regulation and control strategy library according to the indexes, and generating a precise water and fertilizer scheme containing the irrigation amount, the nitrogen fertilizer type and the amount; in the process of executing the scheme, an enzyme activity activating substance composition composed of hydroxyproline and zinc ethylenediaminetetraacetate is synchronously injected through an irrigation system. The method realizes dynamic response regulation and control of corn moisture and nutrients under high temperature and drought stress, effectively improves nitrogen utilization rate and protein synthesis efficiency, and promotes high quality and stable yield of corn.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of crop nutrition regulation, and particularly relates to a precision water and fertilizer synergistic regulation system and method for high-protein cultivation of corn under high-temperature and drought conditions. BACKGROUND

[0002] Corn is an important crop for both food and feed, and the protein content of its kernels is directly related to the nutritional quality of feed and the development potential of functional food. In recent years, due to global climate change, the main corn-producing areas have frequently experienced high-temperature and drought weather, especially during the key growth stages of jointing to grain filling. High-temperature stress not only accelerates the rate of soil moisture loss, but also significantly inhibits the nitrogen uptake efficiency and protein synthesis metabolism in the rhizosphere, leading to a decrease in protein accumulation rate and a deterioration in quality of corn.

[0003] However, the existing technology mainly uses a single irrigation control system or a static fertilization model, lacks synergistic monitoring means for the dynamic state of soil moisture and nitrogen reserves, and cannot respond in real time to the differences in the stage needs of corn for water and fertilizer under high-temperature and drought conditions. At the same time, the traditional fertilization scheme lacks overall optimization of nitrogen fertilizer types, growth stages and activator addition, which easily causes problems such as waste of irrigation resources, low nitrogen utilization efficiency and limited protein synthesis. In addition, the enzyme activity regulation means is not deeply integrated with the water and fertilizer delivery system, making it difficult to balance plant resistance and quality targets under adverse conditions. SUMMARY

[0004] The present application provides a precision water and fertilizer synergistic regulation system and method for high-protein cultivation of corn under high-temperature and drought conditions, and provides a precision water and fertilizer synergistic regulation method and system integrating sensing, computing and execution, which solves the technical bottleneck of low protein accumulation efficiency of corn under high-temperature and drought stress.

[0005] The precision water and fertilizer synergistic regulation method for high-protein cultivation of corn under high-temperature and drought conditions comprises the following steps: S1: during the jointing to grain filling period of corn, real-time acquisition of soil moisture values and root layer nitrogen reserve levels of a target field plot; S2: comparison of the soil moisture values with a preset moisture threshold value, and if the soil moisture values are lower than the preset moisture threshold value, calculation of a water-nitrogen synergistic deficiency index in combination with the root layer nitrogen reserve levels; S3: matching of the water-nitrogen synergistic deficiency index with a pre-stored water and fertilizer regulation strategy library to generate a precision water and fertilizer scheme including irrigation amount, nitrogen fertilizer type and amount; S4: execution of the precision water and fertilizer scheme, and addition of an enzyme activity activator substance composition including proline derivatives and zinc chelates in the irrigation liquid.

[0006] Optionally, the S1 comprises: S11: During the corn jointing to grain filling period, a soil moisture sensor network is deployed in the target field to collect soil volume moisture data in real time at a soil depth of 0-30 cm to generate raw soil moisture data; S12: Perform spatial interpolation processing and outlier elimination on the original soil moisture data, calculate the soil moisture value normalized at the field scale, and store it in a cloud database.

[0007] Optionally, the S1 further includes: S13: Synchronously with the soil moisture value collection period, drill root layer soil samples at the same field grid point, use a nitrate nitrogen rapid detector to measure the nitrate nitrogen content of the 0-40 cm soil layer, and generate raw nitrogen content data S14: Based on the soil bulk density and soil layer thickness, the original nitrogen content data is converted into nitrogen reserves per unit area, and nitrogen mineralization correction is performed in combination with historical fertilization records to output the root layer nitrogen pool level.

[0008] Optionally, the S2 includes: S21: calling a pre-stored preset soil moisture threshold, which is dynamically set according to the soil type of the target field, wherein the threshold for sandy loam is 45% to 50% of the field water holding capacity, and the threshold for clay loam is 55% to 60% of the field water holding capacity; S22: Compare the obtained soil moisture value with a preset soil moisture threshold. If the soil moisture value is lower than the preset soil moisture threshold, generate a water deficit rate by calculating the percentage of the difference between the preset soil moisture threshold and the soil moisture value to the preset soil moisture threshold.

[0009] Optionally, the S2 further includes: S23: Based on the obtained root layer nitrogen pool level, a comparative calculation is performed in combination with the preset standard nitrogen requirement value corresponding to the current growth stage of corn. The standard nitrogen requirement value for the jointing stage is 120 to 150 kg nitrogen per hectare, and the standard nitrogen requirement value for the grain filling stage is 80 to 100 kg nitrogen per hectare. The nitrogen deficit is calculated by subtracting the root layer nitrogen pool level from the standard nitrogen requirement value. S24: Introducing the average temperature data of the day, performing temperature stress correction on the water deficit rate. Specifically, taking 30 degrees Celsius as the base, the water deficit rate is increased proportionally for every 1 degree Celsius increase in temperature to generate a corrected water deficit rate. S25: Perform weighted coupling calculation on the ratio of the corrected water deficit rate and the nitrogen deficit to the standard value of nitrogen requirement, where the water weight coefficient is 0.6 and the nitrogen weight coefficient is 0.4, and finally output the water-nitrogen coordinated deficit index.

[0010] Optionally, the S3 includes: S31: Pre-construct a water and fertilizer regulation strategy library including hierarchical regulation entries, each entry is divided according to the water-nitrogen synergistic deficiency index interval, and is associated with three core parameters: specific irrigation amount value (unit: cubic meters per hectare), chemical attribute classification of nitrogen fertilizer type (including quick-acting type, slow-release type and inhibitor modified type), and specific value of nitrogen fertilizer amount (unit: kilograms of nitrogen per hectare); S32: Match the generated water-nitrogen synergistic deficiency index with the index interval in the strategy library, and select the E1, E2 or E3 entry number in the strategy library according to the index falling into the interval range of 0.3-0.5, 0.5-0.7 or greater than 0.7; S33: Call the basic parameter group stored in the strategy library based on the matched entry number to generate an initial water and fertilizer scheme including three elements: specific value of basic irrigation amount, chemical attribute classification of basic nitrogen fertilizer type, and specific value of basic nitrogen fertilizer amount.

[0011] Optionally, the S3 further includes: S34: Dynamically adjust the initial water and fertilizer scheme according to whether the corn is currently in the jointing stage or the filling stage: If it is the jointing stage, keep the basic irrigation amount unchanged, forcibly adjust the nitrogen fertilizer type to quick-acting type, and increase the basic nitrogen fertilizer amount by 10%; If it is the filling stage, reduce the basic irrigation amount by 20%, forcibly adjust the nitrogen fertilizer type to slow-release type, and keep the basic nitrogen fertilizer amount unchanged, output the adjusted water and fertilizer scheme; S35: Integrate the adjusted water and fertilizer scheme with the forced addition instruction of enzyme activity activating substances to form a complete precision water and fertilizer scheme, which includes the determined final irrigation amount value, final nitrogen fertilizer type classification, final nitrogen fertilizer amount value, and execution instruction of adding proline derivatives and zinc chelate.

[0012] Optionally, the S4 includes: S41: Analyze the precision water and fertilizer scheme generated by S3, and extract the final irrigation amount value, final nitrogen fertilizer type classification, final nitrogen fertilizer amount value, and addition instruction of proline derivatives and zinc chelate included therein; S42: Configure an enzyme activity activating substance composition according to the addition instruction, the enzyme activity activating substance composition is composed of proline derivatives and zinc chelate in a fixed ratio, wherein the proline derivative is selected from hydroxyproline, and the zinc chelate is selected from zinc ethylenediaminetetraacetate; S43: Dissolve the hydroxyproline and zinc ethylenediaminetetraacetate in irrigation water to prepare a mixed mother liquor with a concentration of 0.3 grams per liter of hydroxyproline and 0.2 grams per liter of zinc ethylenediaminetetraacetate; S44: Install a Venturi fertilizer device in the irrigation system, connect the mixed mother liquor to the inlet end of the fertilizer device, and simultaneously connect the dissolving device of the final nitrogen fertilizer type to ensure that the irrigation liquid, nitrogen fertilizer solution and enzyme activity activating substance composition are fully mixed in the pipeline; S45: Perform irrigation operation according to the final irrigation amount value in the precise water and fertilizer scheme, monitor the irrigation liquid output amount in real time through the flow sensor, and when the cumulative irrigation amount reaches 95% of the final irrigation amount value, close the enzyme activity activating substance composition injection channel, continue to deliver pure water to flush the pipeline for 5 minutes, and complete the precise addition of the enzyme activity activating substance composition of the proline derivative and zinc chelate.

[0013] The precise water and fertilizer synergistic regulation system for high-protein cultivation of corn under high-temperature and drought conditions is used to realize the precise water and fertilizer synergistic regulation method for high-protein cultivation of corn under high-temperature and drought conditions, and comprises the following modules: Soil moisture and nitrogen pool monitoring module: used for obtaining the soil moisture value and root layer nitrogen pool level of the target field in real time during the corn jointing to the milking stage; Water and nitrogen synergistic deficiency calculation module: used for calculating the corrected water deficiency rate and nitrogen deficiency rate based on the soil moisture value and root layer nitrogen pool level, combining the preset soil moisture threshold value, nitrogen requirement standard value and average temperature of the day, and outputting the water and nitrogen synergistic deficiency index; Precise water and fertilizer strategy matching module: used for matching the water and nitrogen synergistic deficiency index with the water and fertilizer regulation strategy library, and dynamically adjusting the irrigation amount, nitrogen fertilizer type and nitrogen fertilizer amount according to the current growth stage of corn, forming an initial water and fertilizer scheme and outputting an adjusted precise water and fertilizer scheme; Irrigation mixed liquid execution module: used for executing water and fertilizer mixed irrigation operation according to the precise water and fertilizer scheme, injecting the enzyme activity activating substance composition composed of proline derivative and zinc chelate, completing irrigation execution and addition control through the Venturi fertilizer device and the flow sensor, and realizing precise regulation for high-protein cultivation of corn under high-temperature and drought conditions.

[0014] The beneficial effects of the present application are: The present application realizes continuous monitoring and uniform modeling of the 0-30cm soil layer volume water content of the target field by constructing a field-level soil moisture sensor network and combining spatial interpolation and outlier rejection algorithm. At the same time, by drilling root layer soil samples and rapidly determining the nitrate nitrogen content, the root layer nitrogen pool level is obtained after soil bulk density conversion and mineralization coefficient correction, realizing the synergistic perception of water and nutrient state. Compared with the traditional manual sampling method, this mechanism has higher response speed and data representativeness, providing dynamic basic data support for precise water and fertilizer regulation.

[0015] This invention introduces a calculation model for the water-nitrogen synergistic deficit index, integrating soil moisture, nitrogen reservoir levels, standard nitrogen requirements, and temperature correction factors to comprehensively output a quantitative indicator representing the current water and fertilizer requirements of corn. This indicator is then matched to a pre-built water and fertilizer regulation strategy library to automatically generate a basic water and fertilizer parameter set. Furthermore, the irrigation amount and nitrogen fertilizer type are dynamically adjusted based on the physiological characteristics of corn during the jointing and filling stages, forming a highly personalized and precise water and fertilizer plan. This approach addresses the problem of existing water and fertilizer plan formulation in crop management relying on experience and being difficult to quantitatively respond to climate and soil changes, offering a high degree of automation and intelligence.

[0016] In this invention, a mixed solution of a proline derivative (hydroxyproline) and a zinc chelate (zinc ethylenediaminetetraacetic acid) is prepared at a ratio of 0.3 g / L and 0.2 g / L. This solution is then injected into the irrigation system via a Venturi applicator to ensure thorough mixing of the irrigation solution, nitrogen fertilizer, and enzyme activating agent. This addition method not only enhances the activities of glutamine synthase and nitrate reductase, improving nitrogen utilization efficiency, but also strengthens corn's osmotic regulation and grain protein accumulation under high-temperature and drought stress, significantly promoting high-protein corn production and resolving the technical bottleneck of protein synthesis being easily hindered under high-temperature stress. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 Schematic diagram of a method flow in an embodiment of the present invention; Figure 2 Schematic diagram of the system flow of an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The present invention is described in detail below with reference to the accompanying drawings and specific embodiments. It is also noted that, to provide a more detailed description, the following embodiments are best and preferred embodiments, and those skilled in the art may employ alternative methods for implementing certain known technologies. Furthermore, the accompanying drawings are intended only to provide a more detailed description of the embodiments and are not intended to limit the present invention.

[0020] It should be noted that references in the specification to "one embodiment," "an embodiment," "exemplary embodiments," "some embodiments," etc. indicate that the described embodiments may include specific features, structures, or characteristics, but not necessarily every embodiment will include such specific features, structures, or characteristics. Furthermore, when specific features, structures, or characteristics are described in conjunction with an embodiment, it is within the knowledge of persons skilled in the relevant art to implement such features, structures, or characteristics in conjunction with other embodiments (whether or not explicitly described).

[0021] In general, terms can be understood, at least in part, from their use in context. For example, depending at least in part on the context, the term "one or more" as used herein can be used to describe any feature, structure, or characteristic in the singular sense, or can be used to describe a combination of features, structures, or characteristics in the plural sense. Additionally, the term "based on" can be understood as not necessarily intended to convey an exclusive set of factors, but can instead, depending at least in part on the context, allow for the presence of other factors that are not necessarily explicitly described.

[0022] like Figure 1 As shown, the precise water-fertilizer coordinated regulation method for high-protein corn cultivation under high temperature and drought conditions includes the following steps: S1: From the jointing to the grain filling stage of corn, real-time acquisition of soil moisture and root nitrogen pool levels of the target field; S2: comparing the soil moisture value with a preset soil moisture threshold, and if the soil moisture value is lower than the preset soil moisture threshold, calculating a water-nitrogen synergistic deficit index in combination with the root layer nitrogen pool level; S3: matching the pre-stored water and fertilizer control strategy library according to the water-nitrogen synergistic deficit index to generate a precise water and fertilizer plan including irrigation amount, nitrogen fertilizer type and dosage; S4: Executing the precise water-fertilizer program, and adding an enzyme activity activating substance composition comprising a proline derivative and a zinc chelate to the irrigation solution.

[0023] S1 includes: S11: Soil moisture sensor network deployment and data collection During the critical maize growth period (jointing to grain filling, approximately 45 to 90 days after sowing), a network of soil moisture sensors was deployed throughout the target fields. FDR-type soil moisture sensors with an RS485 communication interface were used, with a sensing depth of 0–30 cm. The sensors were distributed in a 30 m × 30 m grid, based on the field size. Each monitoring point collected real-time soil volumetric moisture (θ_v), recording it hourly.

[0024] The format of the generated raw soil moisture data is as follows: S12, soil moisture data processing and homogenization calculation: The original soil moisture data is first spatially interpolated using the inverse distance weighted interpolation method to construct a spatial distribution map of the complete field: ; in, Any location in the field The interpolated moisture content at For the The measured value of each sensor, For the Sensor to position The Euclidean distance of is a weighted index, and its value is usually 2. The number of neighboring sensors involved in the interpolation calculation.

[0025] Subsequently, all interpolation results were subjected to 3σ outlier elimination to remove interference data, and the spatially homogenized soil mulch value of the target field was calculated ( ): ; in, is the number of effective monitoring points, For the The moisture content of each monitoring point after removing abnormal values. Upload to the cloud database for subsequent judgment.

[0026] S13, root layer soil sample collection and original nitrogen content detection: Synchronously with the soil moisture collection period, manually drill root layer soil samples at a depth of 0–40 cm at each monitoring grid point. Take three sub-samples at each point and mix them evenly. Use a portable nitrate nitrogen rapid detector (such as LAQUAtwin NO3-) for detection, and output the nitrate nitrogen content data in mg / kg.

[0027] Example table of raw nitrogen content data: S14, Conversion of nitrogen reserves per unit area and correction of nitrogen mineralization: Based on the bulk density and soil thickness of the sampled soil, the original nitrogen content is converted into nitrogen reserves per unit area: ; in, is the nitrate ammonia content (mg / kg), is the bulk density of the soil, with a typical value of 1300-1400 kg / m3. is the sampling depth, which is 0.4m, is the conversion factor Then, based on the measured nitrogen mineralization coefficient, the fertilization records and temperature and humidity data of the field in the past 30 days were combined. Perform nitrogen mineralization correction: ; in, is the final nitrogen pool level in the root zone (kg / ha), It is the amount of nitrogen remaining unabsorbed after the previous fertilization. It is the nitrogen mineralization coefficient, ranging from 0.1 to 0.3, and is determined based on soil organic matter and temperature and humidity.

[0028] S2 includes: S21, calling the preset soil moisture threshold to match the soil type: The system first calls the preset soil moisture threshold parameter table in the cloud database, which sets the soil moisture determination threshold according to the target field soil type classification. The details are as follows: Sandy loam: ; Clay loam soil: ; in, is the preset soil moisture threshold, The field water holding capacity corresponding to the soil type is set based on local measurements or a standard soil database (for example, approximately 23% for sandy loam and approximately 35% for clay loam).

[0029] Taking the target field as sandy loam as an example, if it is set to 45% × 23% = 10.35%, it is the current soil .

[0030] S22, water deficit rate calculation: the soil moisture value output by S1 and the preset soil moisture threshold For comparison, if , then calculate the water deficit rate ; like , then suppose ; Example: If the target field is sandy loam, , then: ; S23, Nitrogen Deficit Calculation: Based on the current growth stage of corn (jointing stage or filling stage), the system automatically matches the standard value of nitrogen requirement. : Jointing period: kg / ha; Grouting period: kg / ha; The root zone nitrogen pool level calculated in S1 is Perform difference calculation with the corresponding standard to calculate nitrogen deficit : ; and normalized to nitrogen deficit rate ; Example: If the current period is the grain filling period, the standard nitrogen requirement is set to 90 kg / ha, and the measured ammonia level is 68 kg / ha: ; S24, temperature stress correction of water deficit rate: introduce the average temperature of the day , taking 30°C as the base temperature, the water deficit rate is corrected. For every 1°C increase, the deficit rate is increased by 3% (adjustable). The corrected water deficit rate The calculation is as follows: ; in, The temperature stress coefficient is set to 0.03 (i.e. 3%), It means that the temperature above 30°C is partially involved in stress correction, while low temperature has no effect.

[0031] Example: If that day , the aforementioned ,but: 25.8%; S25, calculation of water-nitrogen synergistic deficit index: according to the system settings, the water weight coefficient is 0.6, the nitrogen weight coefficient is 0.4, and the water-chlorine synergistic deficit index is calculated comprehensively. ; Substitute into the above example ,but: ; This synergistic deficit index will serve as the core input parameter for matching water and fertilizer regulation strategies in S3.

[0032] S3 includes: S31, Construction of Water and Fertilizer Control Strategy Library: First, construct a water and fertilizer control strategy library, using a hierarchical interval structure. Each entry (numbered E1, E2, E3) is classified according to the water and nitrogen synergistic deficit index interval and bound to three core parameters: Irrigation volume (Unit: cubic meters per hectare); Types of nitrogen fertilizers (Classification: fast-acting type, sustained-release type, inhibitor-modified type); Nitrogen fertilizer amount (unit: kg N / ha); The strategy library looks like this: wherein represents the water-nitrogen synergistic deficit index .

[0033] S32: Strategy entry matching The water-nitrogen synergistic deficit index output in S2 is matched with the intervals in the strategy library: If , match entry E1; If , match entry E2; If , match entry E3; Example: If the output of the previous step is , match entry E2, corresponding to the basic irrigation amount 400 m 3 / ha Nitrogen fertilizer type is slow-release, ammonia fertilizer amount is 110 kg / ha.

[0034] S33, initial water and fertilizer scheme generation: the system generates an initial water and fertilizer scheme according to the three core parameters in the matched entry in the strategy library , that is: Initial scheme ; Example (continuing the previous example): ha; Slow-release type; kg / ha; S34, dynamic adjustment during growth stages: according to the growth stage of the current corn, conditionally adjust the initial water and fertilizer scheme to generate a set of stage adaptability parameters: (1) If it is in the jointing stage: Keep unchanged; Force the nitrogen fertilizer type to be quick-acting: Quick-acting type; Nitrogen fertilizer amount increased by 10%: ; (2) If it is in the filling stage: Decreased by 20%: ; Nitrogen fertilizer type is forced to be slow-release: Slow-release type; Nitrogen fertilizer amount remains unchanged: .

[0035] S35, instruction of adding activator of enzyme activity: add the adjusted water and fertilizer scheme Integrate with the instruction of forced addition of activator of enzyme activity to generate the final precision water and fertilizer scheme ; The final scheme will generate executable control instructions and upload them to the intelligent fertilization system for execution in the S4 stage.

[0036] S4 includes: S41, precision water and fertilizer scheme parameter analysis: the system calls the precision water and fertilizer scheme generated in S3 , and automatically analyzes the following four core parameters: Final irrigation amount value, final nitrogen fertilizer type classification, including quick-acting type, slow-release type or inhibitor modified type, final nitrogen fertilizer amount value, and addition instruction of proline derivative and zinc chelate.

[0037] The system generates complete application control logic and mixing process based on the parameters.

[0038] S42, determination of components of activator of enzyme activity composition: according to the addition instruction, configure the activator of enzyme activity composition, which has the following components: Proline derivative: hydroxyproline is selected; Zinc chelate: zinc EDTA is selected; The component ratio is: ; This ratio is obtained through experimental optimization and has a complex regulating effect of improving glutamine synthetase activity and promoting protein synthesis.

[0039] S43, configuration and concentration control of mixed stock solution: according to the above ratio, dissolve hydroxyproline and zinc EDTA in irrigation water in turn to prepare a mixed stock solution. The configuration calculation based on per liter of stock solution is as follows: The configuration amount formula is: ; Wherein: is the volume of stock solution to be configured, is the target concentration (g / L).

[0040] Example: if the expected fertilization duration is 40 minutes and the stock solution pump injection rate is 3L per minute, then the total demand for stock solution is: ; Therefore, the configuration is: Hydroxyproline: g; Zinc EDTA: g; S44, Venturi Fertilizer Applicator with Dissolver: Install a Venturi Fertilizer Applicator on an existing irrigation main and configure the following: Connect the prepared mixed mother liquid storage barrel to the inlet end of the fertilizer spreader through a hose; According to the "final nitrogen fertilizer type classification" in S3, the dissolving device corresponding to the nitrogen fertilizer type (such as urea, controlled-release urea, etc.) is called to form a stable nitrogen fertilizer solution; The nitrogen fertilizer solution pipeline is synchronously connected to the parallel port of the fertilizer applicator, and the three liquids are introduced into the main pipeline in parallel through the differential pressure siphon effect to achieve uniform mixing.

[0041] Install a dynamic mixing pipe section (with built-in spoilers) downstream of the irrigation main pipe to enhance the physical mixing effect.

[0042] S45, irrigation liquid application control and flushing process: Execute the irrigation operation corresponding to the final irrigation amount in the precise water and fertilizer plan. The irrigation control process is as follows: (1) Real-time monitoring of cumulative output : Install a flow sensor with a sampling period of 5 seconds; Add irrigation volume to the current time point: ; in is the instantaneous flow rate.

[0043] (2) Determine the node control conditions: when , do the following: Automatically closing the enzyme activity activating substance composition injection channel; Keep the water pump on.

[0044] (3) Pipeline flushing: Continue to irrigate with clean water for 5 minutes to drain the remaining mixed liquid; The system records the flushing start and end time and flushing water volume for quality traceability.

[0045] like Figure 2 As shown, the precise water-fertilizer coordinated control system for high-protein corn cultivation under high-temperature drought conditions is used to implement the precise water-fertilizer coordinated control method for high-protein corn cultivation under high-temperature drought conditions, and includes the following modules: Soil moisture and nitrogen pool monitoring module: used to obtain soil moisture values ​​and root layer nitrogen pool levels of target fields in real time from the jointing to the grain filling period of corn; Water-nitrogen synergistic deficit calculation module: used to calculate the corrected water deficit rate and nitrogen deficit rate based on soil moisture value and root layer nitrogen pool level, combined with the preset moisture threshold, nitrogen requirement standard value and the average temperature of the day, and output the water-nitrogen synergistic deficit index; Precision water and fertilizer strategy matching module: used to match the water-nitrogen coordinated deficit index with the water and fertilizer control strategy library, and dynamically adjust the irrigation amount, nitrogen fertilizer type and nitrogen fertilizer dosage based on the current growth stage of corn, to form an initial water and fertilizer plan and output the adjusted precision water and fertilizer plan; Irrigation mixture execution module: used to perform water-fertilizer mixed irrigation operations according to the precise water-fertilizer plan, configure and inject an enzyme activity activating substance composition composed of proline derivatives and zinc chelates, complete irrigation execution and addition control through a Venturi fertilizer applicator and a flow sensor, and achieve precise regulation of high-protein corn cultivation under high temperature and drought conditions.

[0046] The present invention encompasses any alternatives, modifications, equivalents, and solutions that fall within the spirit and scope of the present invention. To provide a thorough understanding of the present invention, specific details are described in detail below in connection with the preferred embodiments of the present invention, but those skilled in the art will be able to fully understand the present invention without these detailed descriptions. Furthermore, to avoid unnecessary confusion regarding the essence of the present invention, well-known methods, processes, procedures, components, and circuits have not been described in detail.

[0047] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A precise water-fertilizer coordinated control method for high-protein corn cultivation under high temperature and drought conditions, characterized in that: The following steps are involved: S1: From the jointing to the grain filling stage of corn, real-time acquisition of soil moisture and root nitrogen pool levels of the target field; S2: comparing the soil moisture value with a preset soil moisture threshold, and if the soil moisture value is lower than the preset soil moisture threshold, calculating a water-nitrogen synergistic deficit index in combination with the root layer nitrogen pool level; S3: matching the pre-stored water and fertilizer control strategy library according to the water-nitrogen synergistic deficit index to generate a precise water and fertilizer plan including irrigation amount, nitrogen fertilizer type and dosage; S4: Executing the precise water-fertilizer program, and adding an enzyme activity activating substance composition comprising a proline derivative and a zinc chelate to the irrigation solution.

2. The precise water-fertilizer coordinated control method for high-protein corn cultivation under high temperature and drought conditions according to claim 1, characterized in that: Said S1 comprises: S11: During the corn jointing to grain filling period, a soil moisture sensor network is deployed in the target field to collect soil volume moisture data in real time at a soil depth of 0-30 cm to generate raw soil moisture data; S12: Perform spatial interpolation processing and outlier elimination on the original soil moisture data, calculate the soil moisture value normalized at the field scale, and store it in a cloud database.

3. The precise water-fertilizer coordinated control method for high-protein corn cultivation under high temperature and drought conditions according to claim 2, characterized in that: Said S1 further comprises: S13: Synchronously with the soil moisture value collection period, drill root layer soil samples at the same field grid point, use a nitrate nitrogen rapid detector to measure the nitrate nitrogen content of the 0-40 cm soil layer, and generate raw nitrogen content data S14: Based on the soil bulk density and soil layer thickness, the original nitrogen content data is converted into nitrogen reserves per unit area, and nitrogen mineralization correction is performed in combination with historical fertilization records to output the root layer nitrogen pool level.

4. The precise water-fertilizer coordinated control method for high-protein corn cultivation under high temperature and drought conditions according to claim 3, characterized in that: The S2 includes: S21: calling a pre-stored preset soil moisture threshold, which is dynamically set according to the soil type of the target field, wherein the threshold for sandy loam is 45% to 50% of the field water holding capacity, and the threshold for clay loam is 55% to 60% of the field water holding capacity; S22: Compare the obtained soil moisture value with a preset soil moisture threshold. If the soil moisture value is lower than the preset soil moisture threshold, generate a water deficit rate by calculating the percentage of the difference between the preset soil moisture threshold and the soil moisture value to the preset soil moisture threshold.

5. The precise water-fertilizer coordinated control method for high-protein corn cultivation under high temperature and drought conditions according to claim 4 is characterized in that: Said S2 further comprises: S23: Based on the obtained root layer nitrogen pool level, a comparative calculation is performed in combination with the preset nitrogen requirement standard value corresponding to the current growth stage of corn, and the nitrogen deficit is obtained by subtracting the root layer nitrogen pool level from the nitrogen requirement standard value; S24: Introducing the average temperature data of the day, performing temperature stress correction on the water deficit rate, and generating a corrected water deficit rate; S25: Perform weighted coupling calculation on the ratio of the corrected water deficit rate and the nitrogen deficit to the standard value of the nitrogen requirement, and output the water-nitrogen coordinated deficit index.

6. The precise water-fertilizer coordinated control method for high-protein corn cultivation under high temperature and drought conditions according to claim 5, characterized in that: The S3 includes: S31: Pre-build a water and fertilizer control strategy library that includes hierarchical control items. Each item is divided into water and nitrogen synergistic deficit index intervals and associated with three core parameters: specific irrigation amount value, chemical property classification of nitrogen fertilizer type, and specific nitrogen fertilizer amount value; S32: matching the generated water-nitrogen synergistic deficit index with the index interval in the strategy library, and selecting the entry number E1, E2, or E3 in the strategy library according to whether the index falls into the interval range of 0.3-0.5, 0.5-0.7, or greater than 0.7; S33: Based on the matching entry number, the basic parameter group stored in the strategy library is called to generate an initial water and fertilizer plan including three elements: the specific value of the basic irrigation amount, the chemical property classification of the basic nitrogen fertilizer type, and the specific value of the basic nitrogen fertilizer dosage.

7. The precise water-fertilizer coordinated control method for high-protein corn cultivation under high-temperature drought conditions according to claim 6, characterized in that: Said S3 further comprises: S34: Dynamically adjust the initial water and fertilizer plan based on the current growth stage of the corn, whether it is in the jointing stage or the filling stage: If it is the jointing stage, keep the basic irrigation amount unchanged, force the nitrogen fertilizer type to be adjusted to quick-acting type, and increase the basic nitrogen fertilizer amount by 10%; If it is the filling period, reduce the basic irrigation amount by 20%, force the nitrogen fertilizer type to be adjusted to slow-release type, maintain the basic nitrogen fertilizer amount unchanged, and output the adjusted water and fertilizer plan; S35: Integrate the adjusted water and fertilizer plan with the mandatory addition instructions of enzyme activity activating substances to form a complete and precise water and fertilizer plan, which includes the determined final irrigation amount value, the final nitrogen fertilizer type classification, the final nitrogen fertilizer dosage value, and the execution instructions for adding proline derivatives and zinc chelates.

8. The precise water-fertilizer coordinated control method for high-protein corn cultivation under high temperature and drought conditions according to claim 7, characterized in that: The S4 includes: S41: parses the precise water and fertilizer plan generated by S3, extracting the final irrigation amount value, final nitrogen fertilizer type classification, final nitrogen fertilizer dosage value, and the addition instructions of proline derivatives and zinc chelates; S42: preparing an enzyme activity activating substance composition according to the adding instruction, wherein the enzyme activity activating substance composition is composed of a proline derivative and a zinc chelate in a fixed ratio, wherein the proline derivative is hydroxyproline and the zinc chelate is zinc ethylenediaminetetraacetate; S43: dissolving the hydroxyproline and zinc EDTA in irrigation water to prepare a mixed mother solution with a concentration of 0.3 g / L hydroxyproline and 0.2 g / L zinc EDTA; S44: Install a Venturi fertilizer applicator in the irrigation system, connect the mixed mother liquor to the inlet of the fertilizer applicator, and simultaneously connect a dissolving device of the final nitrogen fertilizer type to ensure that the irrigation liquid, nitrogen fertilizer solution and enzyme activity activating substance composition are fully mixed in the pipeline; S45: Execute irrigation operations according to the final irrigation amount value in the precise water and fertilizer plan, monitor the irrigation liquid output in real time through the flow sensor, and when the cumulative irrigation amount reaches 95% of the final irrigation amount value, close the enzyme activity activating substance composition injection channel, continue to deliver pure water to flush the pipeline for 5 minutes, and complete the precise addition of the enzyme activity activating substance composition of proline derivatives and zinc chelates.

9. A precise water-fertilizer coordinated control system for high-protein corn cultivation under high-temperature drought conditions, for implementing the precise water-fertilizer coordinated control method for high-protein corn cultivation under high-temperature drought conditions as claimed in any one of claims 1 to 8, characterized in that: Includes the following modules: Soil moisture and nitrogen pool monitoring module: used to obtain soil moisture values ​​and root layer nitrogen pool levels of target fields in real time from the corn jointing to grain filling period; Water-nitrogen synergistic deficit calculation module: used to calculate the corrected water deficit rate and nitrogen deficit rate based on soil moisture value and root layer nitrogen pool level, combined with the preset moisture threshold, nitrogen requirement standard value and the average temperature of the day, and output the water-nitrogen synergistic deficit index; Precision water and fertilizer strategy matching module: used to match the water-nitrogen coordinated deficit index with the water and fertilizer control strategy library, and dynamically adjust the irrigation amount, nitrogen fertilizer type and nitrogen fertilizer dosage based on the current growth stage of corn, to form an initial water and fertilizer plan and output the adjusted precision water and fertilizer plan; Irrigation mixture execution module: used to perform water-fertilizer mixed irrigation operations according to the precise water-fertilizer plan, configure and inject an enzyme activity activating substance composition composed of proline derivatives and zinc chelates, complete irrigation execution and addition control through a Venturi fertilizer applicator and a flow sensor, and achieve precise regulation of high-protein corn cultivation under high temperature and drought conditions.

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