Dry season high-standard farmland irrigation method and device and storage medium

Abstract

The invention provides a dry season high-standard farmland irrigation method and device and a storage medium, and relates to the technical field of farmland irrigation. Determining the current growth period of the crops; judging whether the current growth period of the crop reaches the target growth period or not, or whether the current drought stress degree of the crop reaches the drought degree which is delimited in advance according to the evapotranspiration amount and the leaf curling degree or not; based on the constructed initial crop dry season root system water demand model, obtaining a unit farmland crop root system water demand calculation value; the current water storage capacity of the buried water storage and irrigation device is obtained, and an irrigation water volume calibration value is obtained; the soil root system layer humidity and the crop drought stress relieving degree after the irrigation is completed for a set time period are obtained; if the corresponding predicted value is not reached, a deviation index is calculated, and an adjusted crop dry season root system water demand model is obtained; and iteration is carried out until a corresponding prediction value is reached. By adopting the irrigation method provided by the invention, the targeted precise irrigation of the root system can be realized, and the water-saving effect is improved.

Description

Technical Field

[0001] This application relates to the field of high-standard farmland irrigation technology, and in particular to a method, apparatus and storage medium for high-standard farmland irrigation during the dry season. Background Technology

[0002] Although farmland irrigation, such as high-standard farmland in the north, has gradually promoted water-saving technologies such as sprinkler irrigation and drip irrigation to replace traditional flood irrigation, the following key technological shortcomings still exist: 1. Significant delay in water replenishment during the dry season: Traditional irrigation relies on surface water or centralized groundwater extraction. During the dry season, water replenishment is easily delayed due to channel interruption, groundwater level drop, long water conveyance distance, and insufficient water supply. Problems such as "stuck drought" in wheat and "grain-filling drought" in corn occur frequently, missing the best window of opportunity for water replenishment. 2. Poor adaptability to water demand: Existing precision irrigation technologies are mostly based on general evapotranspiration models, which do not fully consider the extreme climate characteristics of "high evaporation and low rainfall" during spring and summer droughts in northern China. They only refer to soil moisture or crop image data, resulting in water demand calculation errors as high as 15%-20%. 3. Insufficient irrigation precision: Irrigation networks are mostly uniformly laid out at the field level, without a targeted water supply structure designed according to the characteristics of crop root distribution. Water is easily lost through surface evaporation or deep seepage, and the water utilization rate of the root layer is only 60%-70%. 4. Lack of coordination between water storage and irrigation: There is a lack of decentralized buried water storage facilities adapted to high-standard farmland, making it impossible to store water resources in advance for the rainy season or high-water season, resulting in weak water supply security during the dry season; moreover, water storage and irrigation systems are disconnected, making it difficult to achieve "on-demand water supply".

[0003] 5. Insufficient facility adaptability and automation: The burial depth and size of some water storage devices are not optimized in accordance with crop root growth and the characteristics of frost heave in the north. They are prone to occupying high-standard farmland area or affecting crop growth. They are also susceptible to frost heave damage or affect crop root growth. Moreover, they rely heavily on manual intervention and lack coordination with existing monitoring data, making it impossible to achieve automated control of the entire irrigation process.

[0004] Therefore, there is a need for a high-standard farmland irrigation method, device, and storage medium during the dry season to at least partially solve the above-mentioned technical problems. Summary of the Invention

[0005] In view of this, embodiments of this application provide a method, apparatus and storage medium for high-standard farmland irrigation during the dry season, so as to at least solve one of the problems in the prior art.

[0006] In a first aspect, embodiments of this application provide a method for high-standard farmland irrigation during the dry season, the irrigation method comprising: Evapotranspiration was obtained based on meteorological monitoring data of farmland during the dry season collected by meteorological monitoring stations installed during the construction of high-standard farmland. Based on crop video monitoring facilities deployed during the construction of high-standard farmland, the current growth stage of crops is determined. Determine the current crop drought stress level based on evapotranspiration and leaf curling; determine whether the crop has reached the target growth stage or whether the current crop drought stress level has reached the mild drought level pre-defined based on evapotranspiration and leaf curling. If both are met, proceed to the next step; otherwise, repeat the first two steps after setting a monitoring interval. Based on the constructed initial crop root water requirement model during the dry season, the calculated value of crop root water requirement for a unit farmland is obtained according to the initial correction coefficient, initial seasonal factor, initial dry season evaporation correction factor and farmland soil type matched with the current drought stress level. The current water storage capacity of a pre-buried underground water storage and irrigation device with pre-determined specifications, located below the crop root layer at a predetermined location in the unit farmland, is obtained. Based on the ratio of the current water storage capacity to the calculated water requirement of the crop root system in the unit farmland, the theoretical value of irrigation water is obtained. Based on the humidity deviation of the crop root layer, the theoretical value of irrigation water is corrected to obtain the irrigation water calibration value for targeted irrigation of the crop root layer. After irrigation is completed, the soil root zone moisture and the degree of crop drought stress relief are obtained after a set time. If the corresponding predicted value is reached, the above steps are repeated to enter the next monitoring cycle. If the predicted value is not reached, the deviation index is calculated, and the initial seasonal factor, initial correction coefficient, and initial dry season evaporation correction factor are adjusted according to the deviation index to obtain the adjusted crop dry season root water requirement model; the first three steps are iterated until the predicted value is reached.

[0007] Secondly, this application also provides a high-standard farmland irrigation device for the dry season, the irrigation device comprising: Memory is used to store executable instructions for a computer; The processor is used to implement the irrigation method of the above-described technical solution when executing computer-executable instructions stored in the memory.

[0008] Thirdly, embodiments of this application also provide a storage medium storing computer instructions, wherein the computer instructions are used to cause the computer to execute the irrigation method of the above-described technical solution.

[0009] According to the irrigation method of this application, based on the constructed initial crop root water requirement model during the dry season, current meteorological data, video monitoring data, initial correction coefficients matching the current drought stress level, initial seasonal factors, initial dry season evaporation correction factors, and soil effective water absorption rate are integrated. At the same time, based on a reasonably designed fully buried decentralized water storage and irrigation scheme, without occupying farmland cultivation area, a closed-loop irrigation scheme of "monitoring-calculation-water supply-feedback" is realized, achieving root-targeted precision irrigation, with water requirement error controlled within 5%, accurately matching the water requirement pattern of dry season crops, and saving 28%-32% of water compared with traditional irrigation.

[0010] Additional advantages, objectives, and features of this application will be set forth in part in the description which follows, and will in part become apparent to those skilled in the art upon review of the following description, or may be learned by practice of the application. The objectives and other advantages of this application can be realized and obtained by means of the structures specifically pointed out in the specification and drawings.

[0011] Those skilled in the art will understand that the purposes and advantages that can be achieved with this application are not limited to those specifically described above, and that the above and other purposes that this application can achieve will be more clearly understood from the following detailed description. Attached Figure Description

[0012] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, do not constitute a limitation thereof. The components in the drawings are not drawn to scale but are merely for illustrating the principles of this application. For ease of illustration and description of certain parts of this application, corresponding portions in the drawings may be enlarged, i.e., may appear larger relative to other components in an exemplary device actually manufactured according to this application. In the drawings: Figure 1 This is a flowchart of an irrigation method according to an embodiment of this application; Figure 2 This is a schematic plan view of the location distribution of the underground water storage device and underground irrigation pipeline in a field according to an embodiment of the irrigation method of this application. Figure 3 This is a schematic cross-sectional view of the location distribution of the underground water storage device and underground irrigation pipeline in a field according to an embodiment of the irrigation method of this application. Figure 4 This is a schematic diagram of an irrigation apparatus according to an embodiment of this application; Figure 5 This is a schematic diagram of an irrigation system according to an embodiment of this application. Detailed Implementation

[0013] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the embodiments and accompanying drawings. Here, the illustrative embodiments and their descriptions are used to explain this application, but are not intended to limit it.

[0014] It should also be noted that, in order to avoid obscuring this application with unnecessary details, only the structures and / or processing steps closely related to the scheme according to this application are shown in the accompanying drawings, while other details that are not closely related to this application are omitted.

[0015] It should be emphasized that the term "including / comprises" as used herein refers to the presence of a feature, element, step, or component, but does not exclude the presence or addition of one or more other features, elements, steps, or components.

[0016] It should also be noted that, unless otherwise specified, the term "connection" in this article can refer not only to a direct connection, but also to an indirect connection involving an intermediary.

[0017] In the following description, embodiments of the present application will be illustrated with reference to the accompanying drawings. In the drawings, the same reference numerals represent the same or similar parts, or the same or similar steps.

[0018] First, refer to Figure 1 This application describes a method 100 for high-standard farmland irrigation during the dry season, according to an embodiment of this application. For example... Figure 1 As shown, irrigation method 100 may include steps S110 to S170, as detailed below: In step S110, evapotranspiration is obtained based on meteorological monitoring data of dry season farmland collected by meteorological monitoring stations installed during the construction of high-standard farmland.

[0019] In step S120, the current growth stage of the crop is determined based on the crop video monitoring data collected by the crop video monitoring facilities deployed during the construction of high-standard farmland.

[0020] In step S130, the current crop drought stress level is determined based on evapotranspiration and leaf curling. It is then determined whether the crop has reached the target growth stage or whether the current crop drought stress level has reached the mild drought level predefined based on evapotranspiration and leaf curling. If both are met, the next step is performed; otherwise, the first two steps are repeated after a set monitoring interval.

[0021] In step S140, based on the constructed initial crop dry season root water requirement model, the calculated value of crop root water requirement for a unit farmland is obtained according to the initial correction coefficient, initial seasonal factor, initial dry season evaporation correction factor and farmland soil type matched with the current drought stress level.

[0022] In step S150, the current water storage capacity of the buried irrigation device, which is pre-buried at a predetermined location in the unit farmland and located below the crop root layer with a predetermined specification, is obtained. Based on the ratio of the current water storage capacity to the calculated water requirement of the crop root system in the unit farmland, the theoretical value of irrigation water is obtained. Based on the humidity deviation of the crop root layer, the theoretical value of irrigation water is corrected to obtain the irrigation water calibration value for targeted irrigation of the crop root layer.

[0023] In step S160, the soil root zone moisture and the degree of crop drought stress relief are obtained after a set time following irrigation. If the corresponding predicted value is reached, the above steps are repeated to enter the next monitoring cycle.

[0024] In step S170, if the corresponding predicted value is not reached, the deviation index is calculated, and the initial seasonal factor, initial correction coefficient, and initial dry season evaporation correction factor are adjusted according to the deviation index to obtain the adjusted crop dry season root water requirement model; the first three steps are iterated until the corresponding predicted value is reached.

[0025] According to the irrigation method 100 of this application embodiment, by pre-constructing an initial crop dry season root water requirement model, it integrates current meteorological data, video monitoring data, initial correction coefficients matching the current drought stress level, initial seasonal factors, initial dry season evaporation correction factors, and soil effective water absorption rate, and establishes an adjusted crop dry season root water requirement model based on the deviation index between soil root layer moisture and the degree of crop drought stress relief and the corresponding predicted values. This realizes a closed-loop irrigation scheme with a full process of "monitoring-calculation-water supply-feedback", achieving targeted and precise irrigation of the root system and more accurate control of water requirement error. At the same time, based on a reasonably designed fully buried decentralized water storage and irrigation scheme, it does not occupy farmland cultivation area.

[0026] The following will describe in detail the above steps of the irrigation method 100 according to an embodiment of this application.

[0027] In the embodiments of this application, in step S110, the evapotranspiration is obtained based on the meteorological monitoring data of dry season farmland collected by the meteorological monitoring station installed during the construction of high-standard farmland.

[0028] Specifically, meteorological monitoring data for dry season farmland is collected using meteorological monitoring stations already installed during the construction of high-standard farmland. This allows for data acquisition using existing facilities without the need for additional sensors, thus reducing data acquisition costs. Meteorological monitoring data can include parameters such as temperature, humidity, light intensity, and wind speed, with a focus on extracting data from the high evaporation period during the dry season (10:00-16:00) as the core meteorological basis for drought assessment. Furthermore, 24-72 hour weather forecasts can be obtained, extracting key information such as precipitation probability and peak temperature to help predict drought development trends.

[0029] In the embodiments of this application, step S120 determines the current growth stage of the crop based on crop image data collected from dry season farmland using crop video monitoring facilities deployed during the construction of high-standard farmland.

[0030] Specifically, crop image data during the dry season is collected using crop video monitoring facilities deployed during the construction of high-standard farmland, which also reduces data acquisition costs. Image recognition analysis is performed on the dry season crop image data to obtain crop leaf curl and leaf area index. The aforementioned image recognition analysis technology can employ existing methods, which will not be described in detail here.

[0031] Then, the leaf area index is compared with the crop growth model to determine the current growth stage of the crop.

[0032] Crop growth models are models that record the matching relationship between leaf area index and the growth stage of a crop. They can be constructed by collecting historical data. For example, data on each growth stage of a crop variety, along with the leaf area index at each stage, can be collected, and crop growth models can be constructed using algorithms such as fitting and regression.

[0033] Based on the crop growth model, the current leaf area index is matched to determine the current growth stage of the crop.

[0034] In the embodiments of this application, in step S130, the current crop drought stress level is determined based on evapotranspiration and leaf curling; it is determined whether the current crop growth stage has reached the target growth stage, or whether the current crop drought stress level has reached the mild drought level predefined based on evapotranspiration and leaf curling. If both are met, the next step is performed; otherwise, the first two steps are repeated after a set monitoring interval.

[0035] Specifically, the current degree of crop drought stress is characterized by both evapotranspiration and leaf curling.

[0036] Drought severity can be pre-classified as mild, moderate, or severe.

[0037] The severity level is categorized into three levels: mild (slight leaf curling or evapotranspiration reaching the set mild water shortage threshold), moderate (moderate leaf curling or evapotranspiration reaching the set moderate water shortage threshold), and severe (severe leaf curling or evapotranspiration reaching the set severe water shortage threshold). Based on this, the current level of drought stress can be determined by analyzing the current evapotranspiration and leaf curl of the farmland to be irrigated.

[0038] Then, it is determined whether the crop has reached the target growth stage or whether the current drought stress level has reached the pre-defined level of mild drought. If the crop has reached the target growth stage and the current drought stress level has reached the level of mild drought, proceed to the next step S140. Otherwise, repeat the first two steps, namely steps S110 and S120, after setting a monitoring interval. The monitoring interval can be, for example, 12 hours or 24 hours.

[0039] In the embodiments of this application, in step S140, based on the constructed initial crop dry season root water requirement model, the calculated value of the unit farmland crop root water requirement is obtained according to the initial correction coefficient, initial seasonal factor, initial dry season evaporation correction factor and farmland soil type matched with the current drought stress level.

[0040] Specifically, the initial crop root water requirement model for the dry season is expressed as follows: in, This represents the calculated water requirement of crop roots in a unit of farmland. Adjust water demand for the dry season. Based on the basic reference water demand. This is the initial dry season evaporation correction factor, which can be set to 1.2-1.3 depending on the dry season. For example, it can be set to 1.3-1.4 during spring drought and 1.3-1.4 during summer drought. This is the initial seasonal factor, an initial value set based on the current reproductive period and the current season. This is the initial correction coefficient matching the current drought stress level. The value is 0.8-0.9 when the current drought stress level is mild, 1.0-1.1 when the drought is moderate, and 1.2-1.3 when the drought is severe. This refers to a unit of farmland area. To ensure irrigation coverage, the cycle can be set, for example, 3 days. This refers to the effective water absorption rate of the soil. The effective water absorption rate is determined based on the type of farmland soil, specifically its physicochemical properties.

[0041] Regarding the seasonal factor, it was obtained through multi-dimensional data coupling and quantitative modeling, based on the current dry season characteristics and the crop's water requirement adaptability during its growth period. Seasonal factor = Comprehensive adaptability characteristic value × Dry season adaptation baseline coefficient.

[0042] A set of seasonal characteristic parameters is formed based on meteorological monitoring data. A set of water demand sensitivity thresholds corresponding to the crop growth stages is determined by combining crop video monitoring image analysis. The collected seasonal characteristic parameters and crop growth stage water demand sensitivity thresholds are standardized and preprocessed. After unifying the data dimensions, the comprehensive feature value of adaptability is calculated by weighted summation algorithm, with corn taking 0.55-0.8 and wheat taking 0.5-0.85.

[0043] The dry season adaptation coefficient is preset according to the characteristics of crop varieties. The dry season adaptation coefficient for maize is 0.75-0.95, and the dry season adaptation coefficient for wheat is 0.72-0.93.

[0044] The initial seasonal factor, the initial correction coefficient matching the current drought stress level, the initial dry season evaporation correction factor, and the effective soil water absorption rate determined according to the farmland soil type are input into the above-mentioned initial crop dry season root water requirement model to obtain the calculated value of crop root water requirement for a unit farmland.

[0045] Among them, see Figure 2 In this embodiment of the application, a unit farmland can be set as a rectangular high-standard farmland of one mu (approximately 0.16 acres). The area of ​​the unit farmland is then 666.67 square meters. Correspondingly, the calculated water requirement for the crop roots of the unit farmland is the calculated water requirement for the crop roots of one mu of farmland.

[0046] In the embodiments of this application, step S150 obtains the current water storage volume of a buried irrigation water storage device with predetermined specifications, which is pre-buried at a predetermined location in the unit farmland and located below the crop root layer. Based on the ratio of the current water storage volume to the calculated value of the water requirement of the crop root system in the unit farmland, a theoretical value of irrigation water volume is obtained. Based on the humidity deviation of the crop root layer, the theoretical value of irrigation water volume is corrected to obtain a calibration value of irrigation water volume for targeted irrigation of the crop root layer.

[0047] Specifically, before proceeding to step S150, underground irrigation storage devices need to be installed in the unit farmland in advance as required.

[0048] See Figure 2 and Figure 3 A buried irrigation system can include at least one buried water storage device and at least one buried irrigation pipe. For example, three buried water storage devices can be installed in a one-acre unit of farmland. Depending on the soil's physical and chemical properties, the buried water storage device in silty clay areas can be a precast concrete cuboid water tank, while a thickened PVC cuboid water tank can be used in sandy loam areas. The constructed buried water storage device is replenished by an external water source at a set flow rate. The buried irrigation pipe can be a Φ50mm corrosion-resistant PE pipe.

[0049] It should be noted that precision irrigation technology is generally adopted to conserve water resources and address the contradiction between water supply and demand. Currently, research on precision irrigation for farmland under different conditions focuses primarily on controllers and smart water networks to improve the intelligent level of slope ecological restoration. Little attention is paid to the specifications of buried water storage devices and buried irrigation pipes, and their installation locations in farmland. However, the specifications and installation locations of buried water storage devices and buried irrigation pipes are crucial factors affecting precision irrigation, including burial depth, density, and spacing. Currently, precision irrigation rarely considers matching the specifications and installation locations of buried water storage devices and buried irrigation pipes in the early stages. Instead, prefabricated, uniformly sized devices are often used, or the selection is generally based on the engineering experience of technicians. This often results in the use of too many or too densely packed devices, leading to material waste. Furthermore, the unreasonable placement of these prefabricated devices significantly hinders precision irrigation, increases the design difficulty and irrigation burden of controllers and smart water networks, increases costs, and the water-saving effect is not ideal.

[0050] Therefore, another objective of this application is to provide a method for determining high-standard underground irrigation and water storage devices for farmland, so as to plan in advance the specifications of underground water storage devices and underground irrigation pipelines and their installation locations in farmland, thereby reducing costs and improving irrigation efficiency.

[0051] Specifically, the water storage volume of the underground water storage device can be determined based on the maximum water requirement of crops in a unit of farmland over 3 days, plus a set redundancy. The set redundancy can be 10%.

[0052] For example, the maximum water requirement per mu (unit of land area) for wheat over 3 days is W_mu_max≈9 m³, therefore the average water storage volume per mu for wheat is 9 × 1.1 ≈ 10 m³. The maximum water requirement per mu for corn over 3 days is W_mu_max≈16.25 m³, therefore the average water storage volume per mu for corn is 16.25 × 1.1 ≈ 18 m³. Three underground water storage devices are evenly distributed per mu of high-standard farmland. The water storage volume of a single underground water storage device is: V_storage per wheat unit is 10 ÷ 3 ≈ 3.33 m³, and V_storage per corn unit is 18 ÷ 3 ≈ 6 m³.

[0053] Then, the location and size of the underground water storage devices are determined based on the length, width, and ridge dimensions of the unit farmland. The underground water storage devices are evenly spaced along the vertical direction of the ridges. The spacing is evenly distributed according to the length of each acre of land along the vertical direction of the ridges to ensure uniform water supply coverage. A fully underground design is adopted, which does not occupy the cultivated layer of the ridges and avoids disturbing the soil structure of the animal planting area.

[0054] The underground water storage device can adopt a cuboid structure and be installed vertically along the field ridges. The length is set to the width of each acre of field. For example, it can be calculated based on a standard of 10m, which is suitable for the conventional acre-level field width in northern regions. The width can be 1m, to uniformly adapt to field construction specifications. Height = Water storage volume of a single underground water storage device ÷ (length × width).

[0055] For example, a wheat unit: length 10m, width 1m, height = 3.33m³ ÷ (10m × 1m) ≈ 0.33m; the final dimensions of a single wheat water storage device are: length 10m × width 1m × height 0.33m. Volume ≈ 10 × 1 × 0.33 ≈ 3.33m³.

[0056] Corn unit: length 10m, width 1m, height = 6m³ ÷ (10m × 1m) = 0.6m; final determined dimensions of a single corn water storage device: length 10m × width 1m × height 0.6m, volume ≈ 10 × 1 × 0.6 = 6m³.

[0057] The burial depth of the underground water storage device is determined based on the depth of crop root distribution, the predetermined safety distance, and the height of the underground water storage device. Following the principle of minimizing disturbance to the soil layer supporting crop growth, the top of the underground water storage device is kept at a predetermined safety distance from the crop root layer, for example, 20-30 cm. Therefore, data on the depth of crop root distribution is first obtained, and the burial depth is determined in conjunction with the predetermined safety distance and the height of the underground water storage device.

[0058] For example, if the root system of wheat is distributed at a depth of 20-30cm, the top of the buried water storage device should be located 40-60cm underground. If the root system of corn is distributed at a depth of 30-40cm, the top of the buried water storage device should be located 50-70cm underground. The burial depth of the buried water storage device = the burial depth of the top of the device + the height of the device. For wheat fields, the overall burial depth of the buried water storage device is approximately (0.40m-0.60m) + 0.33m ≈ (0.73m-0.93m). This design improves irrigation efficiency by being close to the crop growth layer, reduces construction difficulty due to its shallow height, and meets the needs for frost heave protection in northern winters.

[0059] Simultaneously, the location of the buried irrigation pipes needs to be determined based on the number of field beds and their direction of extension. The buried irrigation pipes can be laid along the direction of the planting field beds. One buried irrigation pipe is installed under each field bed. The water outlet at the top of the buried water storage device is connected to the buried irrigation pipe, and within the corresponding acreage, the burial depth of the buried irrigation pipe is consistent with that of the buried water storage device. A vertical honeycomb-shaped water outlet pipe of predetermined length is installed on the upper part of the buried irrigation pipe, facing the crop root zone. For example, a 20cm honeycomb-shaped water outlet pipe. The honeycomb pore diameter is 2mm, and the porosity is 30%, ensuring uniform water penetration.

[0060] Next, based on the initial irrigation water volume, irrigation duration, number of field ridges, root water storage capacity of individual crop plants during the dry season, and crop planting density of the unit farmland, the number and spacing of honeycomb outlet pipes on each buried irrigation pipe are determined.

[0061] For example, in a wheat unit: the initial irrigation water volume per mu (0.067 hectares) is approximately 7.42 m³, the irrigation duration is 8.25 hours, the number of beds per mu is 8 (bed width is 1.2 m, total bed length per mu is approximately 55.4 m), each irrigation pipe corresponds to one bed, and the flow rate per pipe is approximately 7.42 ÷ 8.25 ÷ 8 ≈ 0.112 m³ / h; the root water storage capacity of a single wheat plant during the dry season is 0.8-1.2 L, and the planting density is 4000-4500 plants per mu. The length of the field bed covered by a single pipeline is approximately 6.9m, and the number of plants covered is approximately 6.9 ÷ 0.15 × 2 ≈ 92 plants (row spacing 0.15m, double-row planting). The number of honeycomb outlet pipes required for a single pipeline is equal to the flow rate of the single pipeline ÷ the unit water output. Based on the water requirement of a single plant, the unit water output is determined to be 0.015m³ / h / pipe. Therefore, the spacing between the honeycomb outlet pipes on the irrigation pipeline is approximately 6.9m ÷ (0.112 ÷ 0.015) ≈ 0.93m.

[0062] Corn unit: Initial irrigation water volume per mu ≈ 14.45 m³, irrigation duration 15.4 h, number of beds per mu 6.6 (bed width 1.5 m, total bed length per mu ≈ 44.4 m), single pipe flow rate ≈ 14.45 ÷ 15.4 ÷ 6.6 ≈ 0.105 m³ / h; root water storage of a single corn plant in dry season is 1.5-2.0 L, planting density per mu 3000-3500 plants, single pipe coverage of bed length ≈ 6.7 m, number of plants covered ≈ 6.7 ÷ 0.2 × 2 ≈ 67 plants (row spacing 0.2 m, double row planting); the unit water output is determined to be 0.0225 m³ / h / pipe, therefore the spacing between honeycomb outlet pipes on the irrigation pipeline = 6.7 m ÷ (0.105 ÷ 0.0225) ≈ 1.41 m.

[0063] In addition, each underground water storage device can be equipped with a booster pump on top. By adjusting the output pressure, it ensures uniform water flow from the honeycomb-shaped outlet pipes, allowing water to precisely penetrate to the core area of ​​the crop root system and preventing surface runoff. The underground water storage device can be powered using a "solar power + grid backup" mode. For example, each underground water storage device is equipped with a 150W solar panel and a 12V / 80Ah battery. On sunny days, it can rely entirely on solar power, while on cloudy or rainy days, it automatically switches to the 220V farm grid to ensure continuous and stable irrigation during the dry season.

[0064] Following the previous text, after obtaining the current water storage capacity of all underground irrigation and water storage devices, the calculated value W is based on the current water storage capacity and the root water requirement of crops in the unit farmland. 单元The theoretical value of irrigation water volume Wa for a unit farmland is obtained by considering the proportion of the irrigation water volume. Based on the deviation of crop root layer moisture, the theoretical value of irrigation water volume is corrected to obtain the irrigation water volume calibration value for targeted irrigation of the crop root layer, so that all buried water storage irrigation devices can target the crop root layer upward according to the determined irrigation water volume calibration value.

[0065] Specifically, the theoretical value of irrigation water volume Wa for a unit of farmland is determined based on a pre-set ratio and the matching relationship between irrigation water volume. Specifically, if the current water storage is ≥ W... 单元 ×1.2, satisfying the requirement of a 10% redundancy for this irrigation, then the theoretical irrigation water volume Wa = W units. If the current water storage is between W... 单元 ×0.8 to W 单元 If the value is between ×1.2 and 0.9, then the theoretical irrigation water volume Wa = current water storage volume × 0.9, with a 10% emergency redundancy. If the current water storage volume... <W 单元 If the value is multiplied by 0.8, then irrigation will be carried out at the current water storage level. An early warning system can also be activated, and a marker indicating the need for additional water storage can be added.

[0066] To determine the deviation of crop root zone moisture, the current crop root zone moisture can be collected and compared with the target moisture range for the soil root zone, such as the upper or lower limit of the target moisture range, or other values. The target moisture range for the soil root zone can be determined jointly by the "crop-soil-dry season" three-dimensional model. For example, the target moisture range for the 20-30cm root zone of wheat during the spring drought is 40%-55%, and the target moisture range for the 30-40cm root zone of corn during the summer drought is 45%-60%.

[0067] Irrigation water volume calibration value . This refers to the amount of water used for regulation.

[0068] , in: The depth of the root layer; Soil bulk density; This is due to the deviation in humidity within the crop root zone. This is the humidity correction factor.

[0069] Based on the finalized unit farmland irrigation water volume calibration values, control commands can be generated using control devices such as PLCs or microcontrollers to drive the buried water storage devices and underground irrigation pipelines to operate in tandem. This includes starting the top booster pump of the buried water storage device, adjusting the frequency converter to control the pump speed and output pressure, precisely matching the irrigation flow rate, and achieving targeted and precise water supply to the root system. Additionally, root-targeted irrigation commands can be generated based on the crop root distribution characteristics, specifying the flow rate for each layer of the pipe network, such as 70%-80% for the core root layer and 20%-30% for the shallow layer.

[0070] In the embodiments of this application, in step S160, the soil root layer moisture and the degree of crop drought stress relief are obtained after a set time following irrigation. If the corresponding predicted value is reached, the above steps are repeated to enter the next monitoring cycle.

[0071] Specifically, real-time crop monitoring images are acquired during irrigation to determine changes in crop growth status. Furthermore, the underground water storage device replenishes water at a set flow rate during irrigation, and the water volume within the underground storage device changes over time.

[0072] After irrigation, soil root zone moisture is measured after a set time period, such as 4 or 6 hours. The degree of drought stress relief is determined based on changes in crop growth status. Then, the soil root zone moisture and the degree of drought stress relief are compared with corresponding predicted values. If the predicted value is reached, the above steps are repeated to enter the next monitoring cycle. That is, steps S110 to S150 are repeated.

[0073] In the embodiments of this application, if the corresponding predicted value is not reached in step S170, the deviation index is calculated, and the initial seasonal factor, the initial correction coefficient, and the initial dry season evaporation correction factor are adjusted according to the deviation index to obtain the adjusted crop dry season root water requirement model; the first three steps are iterated until the corresponding predicted value is reached.

[0074] Specifically, if the predicted value is not reached, a deviation index is calculated. The specific steps are as follows: , , Among them, subscript Data is presented as it was before irrigation. Data is for post-irrigation purposes. The values ​​represent the leaf curling degree: 0 = no curling, 0.3 = slight curling, 0.6 = moderate curling, and 1.0 = severe curling. This represents the standardized grayscale value for leaf color. , As weight.

[0075] , in, , . The value ranges from 0 to 1, with larger values ​​indicating more severe stress.

[0076] Weight .

[0077] Degree of crop stress relief .

[0078] in, The value is 1.0-1.1, which is the stress relief correction coefficient, and 1.1 is taken during the extreme dry season. If the calculation result is negative, take 0.

[0079] Predicted root zone humidity (including short-term evaporation correction): , in: The short-term evaporation rate after irrigation (mm / 2-3h) can be calculated using the simplified Penman-Monteith formula: , in, For solar radiation, MJ / m²·h. The average temperature during the monitoring period is expressed in °C. The monitoring period is h.

[0080] Predicting the degree of stress relief , in: The upper limit of the irrigation stress relief predicted by the characterization model is 1, indicating complete relief.

[0081] bias index , in, This refers to the relative deviation of humidity. To alleviate relative bias under pressure.

[0082] Then, the initial seasonal factor, initial correction coefficient, and initial dry season evaporation correction factor were adjusted according to the deviation index to dynamically optimize the model parameters and obtain the adjusted crop dry season root water requirement model.

[0083] The general adjustment formula is , in, , These are the parameter values ​​before and after adjustment. , , one. To adjust the step size coefficient, α = 0.8 for small deviations (5%-10%) and α = 1.2 for large deviations (>10%). Adjust the weights for the parameters.

[0084] This is the deviation direction factor, taking a value of 1 or -1. When the actual value < the predicted value (Δθabs < 0 and ΔSabs < 0), Increase the parameter by +1 to increase the water demand; when the actual value > the predicted value (Δθabs > 0 and ΔSabs > 0). Adjusting the parameter by a value of -1 reduces water demand.

[0085] Then iterate through the first three steps until the corresponding predicted value is reached. That is, iterate through steps S140 to S160 until the corresponding predicted value is reached.

[0086] In addition, the water supply efficiency (replenishment flow rate) and storage consumption rate of the underground water storage device can be recorded to optimize the design parameters of the buried water storage layout density and capacity. At the same time, an intelligent mobile monitoring module is built to intuitively display the water level, irrigation status, drought level and alarm information of the underground water storage device in the unit farmland, realize real-time visualization of irrigation conditions, and achieve the design goals of efficient data analysis and rapid issuance of irrigation commands.

[0087] Based on the above description, the irrigation method 100 according to the embodiments of this application achieves the following beneficial effects: 1. This application establishes a multi-dimensional feedback correction mechanism. After irrigation, by comparing actual data with model predictions, the key parameters of the water demand calculation model are dynamically adjusted. As the running time increases, the model prediction accuracy continuously improves, and the irrigation scheme is more in line with the actual water demand of crops, forming a closed-loop management of "monitoring-control-feedback-optimization". Long-term application can increase crop yield by 10%-15% per mu, significantly improving the comprehensive production capacity of high-standard farmland in the dry season.

[0088] 2. Optimize the design of underground water storage devices, underground irrigation pipe burial depth and water outlet structure according to field size and crop root distribution depth. Water is supplied to the core root layer through honeycomb water outlet pipes, allowing water to directly penetrate to the key areas where crops need water, avoiding surface evaporation and deep leakage, achieving targeted and precise water supply to the root system and improving irrigation effectiveness.

[0089] 3. This application establishes a dynamic correction mechanism for the water storage capacity of the underground water storage device, adjusting the actual irrigation volume based on the remaining water volume and retaining emergency redundancy. Especially in the context of scarce rainfall and water shortages during the dry season in northern regions, this mechanism can both store water resources in advance through the water storage device and achieve on-demand water replenishment through automated regulation, ensuring continuous water supply during the critical growth period in the dry season, avoiding crop growth stress caused by water shortage, and providing a guarantee for high and stable crop yields.

[0090] refer to Figure 4 This application also provides an irrigation apparatus 200 for implementing the irrigation method 100 according to the embodiments of this application. The irrigation apparatus 200 includes a processor 210 and a memory 220. The irrigation apparatus 200 may include one or more processors 210 and one or more memories 220. The memory 220 stores an executable program that is run by the processor 210. When the executable program is run by the processor 210, it causes the processor 210 to perform the irrigation method 100 described above according to the embodiments of this application.

[0091] The processor 210 may be a central processing unit (CPU) or other processing units with data processing capabilities and / or instruction execution capabilities.

[0092] The memory 220 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 210 may execute the program instructions to implement the client functions (implemented by the processor) in the embodiments of this application described herein, and / or other desired functions. Various applications and various data may also be stored in the computer-readable storage medium, such as various data used and / or generated by the applications.

[0093] The irrigation device 200 may also include input and output devices, which are interconnected via a bus system and / or other forms of connection mechanisms. It should be noted that... Figure 4 The components and structure of the irrigation device 200 shown are merely exemplary and not limiting; the irrigation device 200 may also have other components and structures as needed.

[0094] The input device can be a device used by a user to input commands, and can include one or more of a keyboard, mouse, microphone, and touchscreen. Furthermore, the input device can also be any interface for receiving information.

[0095] The output device can output various information (e.g., images or sounds) to the outside (e.g., a user), and may include one or more of a display, speaker, etc. Furthermore, the output device can also be any other device with output functionality.

[0096] For example, the example irrigation device 200 for implementing the irrigation method 100 according to the embodiments of this application can be applied to terminal devices (such as mobile phones), tablet computers, laptops, ultra-mobile personal computers (UMPCs), handheld computers, netbooks, personal digital assistants (PDAs), wearable devices (such as smartwatches, smart glasses, or smart helmets), augmented reality (AR) devices, virtual reality (VR) devices, smart home devices, in-vehicle computers, and other electronic devices. The embodiments of this application do not impose any limitations on this.

[0097] Those skilled in the art can understand the specific operation of the irrigation device 200 for implementing the irrigation method 100 according to the embodiments of this application in conjunction with the content described above. For the sake of brevity, the specific details will not be repeated here, but only some main operations of the processor 210 will be described.

[0098] In one embodiment of this application, when the executable program is run by the processor 210, the processor 210 performs the following steps: Evapotranspiration is obtained based on meteorological monitoring data collected from meteorological stations installed during the construction of high-standard farmland. Crop imagery data collected from crop video monitoring facilities deployed during the construction of high-standard farmland is used to determine the current growth stage of the crop. The degree of drought stress is determined based on evapotranspiration and leaf curl. It is then assessed whether the crop has reached its target growth stage or whether the current drought stress level meets the pre-defined "mild" drought level based on evapotranspiration and leaf curl. If both conditions are met, the next step is performed; otherwise, the first two steps are repeated after a set monitoring interval. Based on the constructed initial crop root water requirement model for the dry season, the calculated root water requirement for each unit of farmland is obtained according to the initial correction coefficient, initial seasonal factor, initial dry season evaporation correction factor, and farmland soil type matched to the current drought stress level. The process begins by obtaining the current water storage capacity of a pre-installed underground irrigation and water storage device, pre-determined in size and positioned below the crop root zone at a predetermined location within the unit farmland. Based on the ratio of the current water storage capacity to the calculated water requirement of the crop roots in the unit farmland, a theoretical irrigation water volume is obtained. This theoretical value is then corrected based on the crop root zone moisture deviation to obtain a calibrated irrigation water volume for targeted irrigation of the crop root zone. After irrigation, the soil root zone moisture and the degree of drought stress relief for the crop are obtained after a set time. If the predicted value is reached, the above steps are repeated for the next monitoring cycle. If the predicted value is not reached, a deviation index is calculated. The initial seasonal factor, initial correction coefficient, and initial dry season evaporation correction factor are adjusted based on the deviation index to obtain an adjusted dry season root water requirement model for the crop. The first three steps are iterated until the predicted value is reached.

[0099] The above exemplarily illustrates an irrigation method 100 according to an embodiment of this application. The following, in conjunction with... Figure 5 This application describes an irrigation system 300 provided in another embodiment.

[0100] Reference Figure 5 This document describes an example irrigation system 300 for implementing the irrigation method of the embodiments of this application. The irrigation system 300 may include an evapotranspiration acquisition module 310, a growth period determination module 320, a judgment module 330, a root water requirement acquisition module 340, an irrigation water volume determination module 350, a circulation module 360, and an adjustment and iteration module 370. Wherein: The evapotranspiration acquisition module 310 is used to obtain evapotranspiration based on meteorological monitoring data of farmland during the dry season collected by meteorological monitoring stations installed during the construction of high-standard farmland.

[0101] The growth period determination module 320 is used to determine the current growth period of crops based on crop image data collected from dry season farmland using crop video monitoring facilities deployed during the construction of high-standard farmland.

[0102] The judgment module 330 is used to: determine the current crop drought stress level based on evapotranspiration and leaf curling; determine whether the crop has reached the target growth stage or whether the current crop drought stress level has reached the mild drought level predefined based on evapotranspiration and leaf curling. If both are met, proceed to the next step; otherwise, repeat the first two steps after a set monitoring interval.

[0103] The root water requirement acquisition module 340 is used to: obtain the calculated value of the root water requirement of the crop in the unit farmland based on the constructed initial crop dry season root water requirement model, and according to the initial correction coefficient, initial seasonal factor, initial dry season evaporation correction factor and farmland soil type matched with the current drought stress level.

[0104] The irrigation water volume determination module 350 is used to: obtain the current water volume of a pre-buried underground water storage and irrigation device of predetermined specifications located below the crop root layer at a predetermined location in the unit farmland; obtain a theoretical value of irrigation water volume based on the ratio of the current water volume to the calculated water requirement of the crop roots in the unit farmland; and correct the theoretical value of irrigation water volume based on the humidity deviation of the crop root layer to obtain a calibration value of irrigation water volume for targeted irrigation of the crop root layer upwards.

[0105] The cycle module 360 ​​is used to: obtain the soil root zone moisture and the degree of crop drought stress relief after a set time following irrigation. If the corresponding predicted value is reached, the above steps are repeated to enter the next monitoring cycle.

[0106] The adjustment and iteration module 370 is used to: calculate the deviation index if the corresponding predicted value is not reached, adjust the initial seasonal factor, initial correction coefficient and initial dry season evaporation correction factor according to the deviation index, and obtain the adjusted crop dry season root water requirement model; iterate the first three steps until the corresponding predicted value is reached.

[0107] The irrigation system 300 proposed in this application embodiment can achieve root-targeted precision irrigation and improve irrigation efficiency.

[0108] Furthermore, according to embodiments of this application, this application also provides a storage medium on which a computer program is stored. When the computer program is run by a processor, it is used to execute corresponding steps of the irrigation method 100 of this application. The storage medium may, for example, include a memory card of a smartphone, a storage component of a tablet computer, a hard disk of a personal computer, a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a portable compact disc read-only memory (CD-ROM), a USB memory, or any combination of the above storage media. The computer-readable storage medium may be any combination of one or more computer-readable storage media.

[0109] Furthermore, according to embodiments of this application, this application also provides a computer program product, including computer instructions that, when executed by a processor, implement the steps of the irrigation method 100 of embodiments of this application.

[0110] Although exemplary embodiments have been described herein with reference to the accompanying drawings, it should be understood that the above exemplary embodiments are merely illustrative and are not intended to limit the scope of this application. Various changes and modifications can be made therein by those skilled in the art without departing from the scope and spirit of this application. All such changes and modifications are intended to be included within the scope of this application as claimed in the appended claims.

[0111] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0112] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed.

[0113] Furthermore, those skilled in the art will understand that although some embodiments described herein include certain features but not others included in other embodiments, combinations of features from different embodiments are intended to be within the scope of this application and form different embodiments. For example, in the claims, any one of the claimed embodiments can be used in any combination.

[0114] It should be noted that the above embodiments are illustrative of this application and not restrictive, and that those skilled in the art can devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. This application can be implemented by means of hardware comprising several different elements and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third, etc., does not indicate any order. These words can be interpreted as names.

[0115] The above description is merely a specific embodiment or illustration of the embodiments of this application. The scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. The scope of protection of this application shall be determined by the scope of the claims.

Claims

1. A method for high-standard farmland irrigation during the dry season, characterized in that, The irrigation method includes: Evapotranspiration was obtained based on meteorological monitoring data of farmland during the dry season collected by meteorological monitoring stations installed during the construction of high-standard farmland. The current growth stage of crops is determined based on crop video monitoring facilities deployed during the construction of high-standard farmland. Determine the current crop drought stress level based on evapotranspiration and leaf curling; determine whether the crop has reached the target growth stage or whether the current crop drought stress level has reached the mild drought level pre-defined based on evapotranspiration and leaf curling. If both are met, proceed to the next step; otherwise, repeat the first two steps after setting a monitoring interval. Based on the constructed initial crop root water requirement model during the dry season, the calculated value of crop root water requirement for a unit farmland is obtained according to the initial correction coefficient, initial seasonal factor, initial dry season evaporation correction factor and farmland soil type matched with the current drought stress level. The current water storage capacity of a pre-buried underground water storage and irrigation device with pre-determined specifications, located below the crop root layer at a predetermined location in the unit farmland, is obtained. Based on the ratio of the current water storage capacity to the calculated water requirement of the crop root system in the unit farmland, the theoretical value of irrigation water is obtained. Based on the humidity deviation of the crop root layer, the theoretical value of irrigation water is corrected to obtain the irrigation water calibration value for targeted irrigation of the crop root layer. After irrigation is completed, the soil root zone moisture and the degree of crop drought stress relief are obtained after a set time. If the corresponding predicted value is reached, the above steps are repeated to enter the next monitoring cycle. If the predicted value is not reached, the deviation index is calculated, and the initial seasonal factor, initial correction coefficient, and initial dry season evaporation correction factor are adjusted according to the deviation index to obtain the adjusted crop dry season root water requirement model; the first three steps are iterated until the predicted value is reached.

2. The irrigation method according to claim 1, characterized in that, The irrigation method also includes pre-constructing an initial crop root water requirement model for the dry season. in, This represents the calculated water requirement for crop roots in a unit of farmland. Adjusting water demand for the dry season Based on reference water demand, This is the initial dry season evaporation correction factor. As the initial seasonal factor, These are the initial correction coefficients that match the current drought stress level. For unit farmland area, To ensure irrigation cycle, This refers to the effective water absorption rate of the soil.

3. The irrigation method according to claim 1, characterized in that, The current growth stage of crops is determined based on crop video monitoring data collected during the construction of high-standard farmland during the dry season. Specifically, this refers to: Image recognition is performed on crop image data collected by crop video monitoring facilities deployed during the construction of high-standard farmland during the dry season to obtain crop leaf curl degree and leaf area index. The leaf area index is then compared with the crop growth model to determine the current growth stage of the crop.

4. The irrigation method according to claim 1, 2 or 3, characterized in that, Based on the correction of irrigation water volume theoretical values ​​according to crop root zone moisture deviation, a calibration value for irrigation water volume used for targeted irrigation of the crop root zone is obtained, specifically: ， ， in: The depth of the root layer; Soil bulk density; This is due to the deviation in humidity within the crop root zone. This is the humidity correction factor; The irrigation method also includes constructing a crop growth model, specifically including: A crop growth model is a model that records the matching relationship between leaf area index and the growth stage of a crop. It collects data at each growth stage of the crop, as well as historical leaf area index data at the corresponding stage, and constructs the crop growth model through fitting or regression algorithms.

5. The irrigation method according to claim 4, characterized in that, If the predicted value is not reached, a deviation index is calculated, which specifically refers to: Degree of relief of crop drought stress , in, For stress relief correction coefficient; ， ， Among them, subscript Data is presented as it was before irrigation. Data is for post-irrigation purposes. This represents the grading value for leaf curl. This represents the standardized grayscale value for leaf color. , As weight; ， ， in, To predict root zone humidity, The current root zone humidity, Solar radiation, The average temperature during the monitoring period, For monitoring cycle; ， in, To predict the degree of stress relief, ; The target humidity range for the soil root zone; Deviation index , in, This is due to relative humidity deviation. To alleviate relative bias under pressure; The irrigation method also includes pre-determining drought levels based on evapotranspiration and leaf curling, including: The drought situation is classified into three levels: mild, moderate, and severe. The severity levels are as follows: mild (leaf curling slightly or evapotranspiration reaching the set mild water shortage threshold), moderate (leaf curling moderately or evapotranspiration reaching the set moderate water shortage threshold), and severe (leaf curling severely or evapotranspiration reaching the set severe water shortage threshold).

6. The irrigation method according to claim 1, characterized in that, The underground water storage and irrigation system includes underground water storage devices and underground irrigation pipelines; The irrigation method also includes: The water storage volume of the underground water storage device is determined based on the maximum water requirement of crops in a unit of farmland over 3 days and the set redundancy. The location, dimensions, and height of the underground water storage device are determined based on the length, width, and furrow dimensions of the unit farmland. The burial depth of the underground water storage device is determined based on the depth of crop root distribution, the predetermined safety distance, and the height of the underground water storage device. The location of underground irrigation pipelines is determined based on the number and direction of the field ridges; The number and spacing of honeycomb outlet pipes on each buried irrigation pipe are determined based on the initial irrigation water volume, irrigation duration, number of field ridges, root water storage capacity of individual crop plants during the dry season, and crop planting density of the unit farmland.

7. The irrigation method according to claim 2, characterized in that, The theoretical value of irrigation water volume is determined based on a pre-set ratio and the matching relationship between irrigation water volume; The specific matching relationship between the pre-set ratio and the irrigation water volume is as follows: If the current water storage is ≥ W 单元 ×1.2, then the theoretical value of irrigation water = W 单元 ; If the current water storage is between W 单元 ×0.8 to W 单元 If the value is between ×1.2 and 0.9, then the theoretical value of irrigation water volume = current water storage volume × 0.

9. If the current water storage <W 单元 If the value is ×0.8, then irrigation will be carried out at the current water storage level.

8. The irrigation method according to claim 5, characterized in that, If the predicted value is not reached, a deviation index is calculated, and the initial seasonal factor, initial correction coefficient, and initial dry season evaporation correction factor are adjusted based on the deviation index. Specifically, this means: in, , These are the parameter values ​​before and after adjustment, respectively. , , one, To adjust the step size coefficient, Adjust the weights for the parameters. This is the deviation direction factor.

9. A high-standard farmland irrigation device for the dry season, characterized in that, The irrigation device includes: Memory is used to store executable instructions for a computer; A processor, when executing computer-executable instructions stored in the memory, implements the irrigation method according to any one of claims 1 to 8.

10. A storage medium storing computer instructions, wherein, The computer instructions are used to cause the computer to execute the irrigation method according to any one of claims 1 to 8.

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