A method and device for determining crop irrigation scheme based on Aqua Crop crop model

Abstract

The present invention is applicable to the field of Internet technology, and provides a method and device for determining a crop irrigation plan based on an Aqua Crop crop model. In this embodiment, the historical annual precipitation information of the target area is first obtained to determine the precipitation guarantee rate of the area, thereby determining the target precipitation of a typical year for Aqua Crop crop model analysis. Then, the target precipitation, irrigation method, growth stage of crops and corresponding irrigation amount are traversed and simulated to generate several irrigation system scenario plans, and then the yield, biomass and water utilization rate of each plan are determined by the Aqua Crop crop model, thereby determining the optimal irrigation plan. This improves the utilization rate of water resources in the irrigation process and increases the productivity of crops.

Description

Technical Field

[0001] The present application relates to the field of Internet technology, and in particular to a method and device for determining a crop irrigation plan based on an Aqua Crop crop model. Background Art

[0002] The uneven distribution of water resources in time and space has led to an imbalance in the supply and demand of water resources. The contradiction between supply and demand has become increasingly acute. Water shortage has brought about a series of problems and has become a key factor restricting the country's economic and social development. According to relevant statistics, water shortage has affected 26 countries in the world, involving a population of about 232 million. Both domestic and industrial water are troubled by water shortages and cannot be met normally. Relevant statistical results also show that the fresh water used by one-fifth of the world's residents cannot meet the standards for safe and hygienic water use. In addition, the phenomenon of water waste has emerged in an endless stream and has been repeatedly banned worldwide. With the continuous increase in the world's population and economic development, the phenomenon of water waste has even tended to worsen. Although water resources are recyclable and renewable resources, such endless waste will make it difficult for the world's water resources to keep up with the pace of human water demand. Human water use generally includes three categories: agricultural water, industrial water, and domestic water. Among them, irrigation water in agricultural water has always occupied a large proportion of human water use (70% to 90%). Although irrigation water accounts for such a large proportion, the effective utilization rate of irrigation water is not high. The average effective utilization rate of irrigation water in the world is only about 50%. Summary of the invention

[0003] In view of this, the present application provides a method and device for determining a crop irrigation plan based on the Aqua Crop crop model, so as to improve the utilization rate of water resources in the irrigation process and increase the productivity of crops.

[0004] In a first aspect, the present application provides a method for determining a crop irrigation plan based on an Aqua Crop crop model, the method comprising:

[0005] Determine annual precipitation information of a target area within a preset time interval, determine an annual precipitation guarantee rate according to the annual precipitation information, and determine a typical year in the annual precipitation information and a target precipitation for the typical year according to the precipitation guarantee rate, wherein the annual precipitation information includes a year and a corresponding precipitation;

[0006] According to the target precipitation, the preset irrigation method, the growth stage of the crop and the irrigation amount corresponding to each growth stage, several irrigation system scenario plans are simulated and generated, wherein the preset irrigation method includes furrow irrigation, drip irrigation and sprinkler irrigation, and the growth stage includes sowing period, seedling emergence period, tasseling period and filling period;

[0007] The irrigation system scenario is simulated and executed by a calibrated Aqua Crop crop model to determine the execution results of each irrigation system scenario, and the target irrigation plan of the crops is determined based on the execution results and preset irrigation principles. The execution results include the yield, biomass and water utilization rate of the crops.

[0008] Optionally, determining the annual precipitation guarantee rate according to the annual precipitation information includes:

[0009] The annual precipitation information is arranged in descending order, and the empirical frequency calculation formula is used to calculate the annual precipitation information. Calculate the precipitation guarantee rate, where m is the arrangement number in the precipitation information, n is the total number of years, and p is the precipitation guarantee rate.

[0010] Optionally, determining a typical year in annual precipitation information according to the precipitation guarantee rate includes:

[0011] The years with precipitation guarantee rates closest to 25%, 50% and 75% are determined as typical years, among which the year closest to 25% is the typical year of the flood season, the year closest to 50% is the typical year of the normal water season, and the year closest to 75% is the typical year of the dry season.

[0012] Optionally, the calibration method of the Aqua Crop crop model includes:

[0013] Determine the field experiment test data by the sowing and harvesting time of the crops, the current irrigation method, the number of irrigation times, the irrigation amount and the crop yield;

[0014] Preprocessing and feature extraction of the field experimental test data to obtain feature data for Aqua Crop crop model calibration;

[0015] The characteristic data is input into the Aqua Crop crop model, an output result of the Aqua Crop crop model is obtained, and parameter calibration and correction are performed on the Aqua Crop crop model according to the output result until the error between the output of the Aqua Crop crop model and the field experiment test data is less than a threshold value.

[0016] Optionally, the irrigation principle includes maximum water efficiency or maximum yield.

[0017] A second aspect of the present application provides a device for determining a crop irrigation plan based on an Aqua Crop crop model, the device comprising:

[0018] A typical year determination unit, used to determine annual precipitation information of a target area within a preset time interval, determine an annual precipitation guarantee rate according to the annual precipitation information, and determine a typical year in the annual precipitation information and a target precipitation of the typical year according to the precipitation guarantee rate, wherein the annual precipitation information includes a year and a corresponding precipitation;

[0019] A scenario determination unit is used to simulate and generate a plurality of irrigation system scenario plans according to the target precipitation, the preset irrigation method, the growth stage of the crop and the irrigation amount corresponding to each growth stage, wherein the preset irrigation method includes furrow irrigation, drip irrigation and sprinkler irrigation, and the growth stage includes sowing period, seedling emergence period, tasseling period and filling period;

[0020] The target irrigation scheme determination unit is used to simulate and execute the irrigation system scenario scheme through the calibrated Aqua Crop crop model, determine the execution results of each irrigation system scenario scheme, and determine the target irrigation scheme of the crops according to the execution results and preset irrigation principles, wherein the execution results include the yield, biomass and water utilization rate of the crops.

[0021] Optionally, the typical year determination unit determines the annual precipitation guarantee rate according to the annual precipitation information, including:

[0022] The annual precipitation information is arranged in descending order, and the empirical frequency calculation formula is used to calculate the annual precipitation information. Calculate the precipitation guarantee rate, where m is the arrangement number in the precipitation information, n is the total number of years, and p is the precipitation guarantee rate.

[0023] Optionally, the typical year determining unit determines the typical year in the annual precipitation information according to the precipitation guarantee rate, including:

[0024] The years with precipitation guarantee rates closest to 25%, 50% and 75% are determined as typical years, among which the year closest to 25% is the typical year of the flood season, the year closest to 50% is the typical year of the normal water season, and the year closest to 75% is the typical year of the dry season.

[0025] Optionally, the calibration method of the Aqua Crop crop model in the target irrigation scheme determination unit includes:

[0026] Determine the field experiment test data by the sowing and harvesting time of the crops, the current irrigation method, the number of irrigation times, the irrigation amount and the crop yield;

[0027] Preprocessing and feature extraction of the field experimental test data to obtain feature data for Aqua Crop crop model calibration;

[0028] The characteristic data is input into the Aqua Crop crop model, an output result of the Aqua Crop crop model is obtained, and parameter calibration and correction are performed on the Aqua Crop crop model according to the output result until the error between the output of the Aqua Crop crop model and the field experiment test data is less than a threshold value.

[0029] Optionally, the irrigation principles in the target irrigation scheme determination unit include maximum water efficiency or maximum yield.

[0030] In the embodiment provided in the present application, the historical annual precipitation information of the target area is first obtained to determine the precipitation guarantee rate of the area, thereby determining the target precipitation of a typical year for the Aqua Crop crop model analysis. Then, the target precipitation, irrigation method, growth stage of crops and corresponding irrigation amount are traversed and simulated to generate several irrigation system scenario plans, and then the yield, biomass and water utilization rate of each plan are determined by the Aqua Crop crop model to determine the optimal irrigation plan. This improves the utilization rate of water resources in the irrigation process and increases the productivity of crops. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 A flow chart of the method provided in the embodiment of the present application;

[0032] Figure 2 A structural diagram of a device provided in an embodiment of the present application;

[0033] Figure 3 A schematic diagram of the internal structure of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0034] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0035] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. The singular forms of "a", "said" and "the" used in this application and the appended claims are also intended to include plural forms unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0036] It should be understood that although the terms first, second, third, etc. may be used in the present application to describe various information, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0037] The present application provides a method and device for determining a crop irrigation plan based on an Aqua Crop crop model, so as to improve the utilization rate of water resources in the irrigation process and increase the productivity of crops.

[0038] The technical solution of the present application is described in detail with specific embodiments below. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0039] like Figure 1 As shown, it is a flow chart of a method for determining a crop irrigation plan based on the Aqua Crop crop model provided in this application, and the process includes:

[0040] Step S101, determine the annual precipitation information of the target area within a preset time interval, determine the annual precipitation guarantee rate according to the annual precipitation information, and determine the typical year in the annual precipitation information and the target precipitation of the typical year according to the precipitation guarantee rate, wherein the annual precipitation information includes the year and the corresponding precipitation.

[0041] In this embodiment, the P-III frequency curve method can be used to divide the years in the annual precipitation information into several different types, and different precipitation guarantee rate thresholds can be preset for each type of year, and the year with the precipitation guarantee rate closest to the threshold among all years is determined as a typical year.

[0042] For example, taking corn as an example, the precipitation measured in the target area during the corn growth period from 1981 to 2010 can be determined as the annual precipitation information, as shown in the following table:

[0043]

[0044]

[0045] Arrange the annual precipitation information in descending order, set a sequence number for each year, and calculate the empirical frequency formula Calculate the precipitation guarantee rate, where m is the arrangement number in the precipitation information, n is the total number of years, and p is the precipitation guarantee rate. The details are shown in the following table:

[0046]

[0047]

[0048] Then the precipitation guarantee rate closest to 25% is determined as the typical year of the flood season, the closest to 50% is determined as the typical year of the normal water season, and the closest to 75% is determined as the typical year of the dry season. That is, 1985, 2004, and 2001 can be determined as the typical years of the flood season, the normal water season, and the dry season, respectively, so as to determine the precipitation information of the typical year according to the annual precipitation information.

[0049] Step S102, based on the target precipitation, the preset irrigation method, the growth stage of the crops and the irrigation amount corresponding to each growth stage, simulate and generate several irrigation system scenario plans, wherein the preset irrigation method includes furrow irrigation, drip irrigation, and sprinkler irrigation, and the growth stage includes sowing period, seedling emergence period, tasting period and filling period.

[0050] In this embodiment, corn is still taken as an example. Three different irrigation methods, namely furrow irrigation, drip irrigation and sprinkler irrigation, are adopted for the target area. According to the preset irrigation amount, four growth stages of corn are selected, and no irrigation (rain-fed), 1 irrigation, 2 irrigations, 3 irrigations and 4 irrigations are considered respectively. A total of 16 irrigation system scenario plans are set. The details are shown in the following table:

[0051]

[0052] Because corn requires different amounts of water at each stage of growth and development. At the same time, the distribution of precipitation during the corn growth period is uneven. The amount of water that crops can absorb and use is also different at different growth stages, and the water shortage or irrigation water requirements at different stages are also inconsistent. Different years will face different climatic conditions, so the amount of water required for crops and the amount of precipitation that crops can absorb and use vary greatly at different levels. Under different irrigation methods, there are certain differences in crop water use efficiency, so different irrigation methods and irrigation systems under different irrigation methods are studied. The future use of agricultural water resources in the region is studied to propose better management decisions.

[0053] Step S103, simulating and executing the irrigation system scenario plan through the calibrated Aqua Crop crop model, determining the execution results of each irrigation system scenario plan, and determining the target irrigation plan of the crops according to the execution results and the preset irrigation principles, wherein the execution results include the yield, biomass and water utilization rate of the crops.

[0054] In this embodiment, the calibrated Aqua Crop crop model is used to simulate the growth of corn under different irrigation systems, and the effects of different irrigation methods and different irrigation systems on crop yield and water use efficiency under the conditions of wet years, dry years, and normal water years are evaluated, and the irrigation system is optimized based on this.

[0055] The irrigation simulation results in the wet year are as follows:

[0056] 1. System simulation of different irrigation treatments under drip irrigation conditions in a wet year:

[0057]

[0058] The simulation results show that in the years with abundant water, the rainfall during the growth period can basically meet the water demand for crop growth. Considering the impact of crop transpiration and soil evapotranspiration and uneven rainfall in the short term, under the drip irrigation method, water is selected during the crop growth period, and under the T3 irrigation treatment (50mm of water during the seedling stage), the corn yield reaches the maximum value of 10.999t / ha. From the model analysis results, it can be seen that in the years with abundant water, the later supplementary irrigation, that is, the irrigation of four periods of the whole growth period, cannot increase the yield of crops. Considering the conservation of water resources and the maximum water utilization rate, in the years with abundant water, there is no need for excessive irrigation.

[0059] 2. System simulation of different irrigation treatments under sprinkler irrigation conditions in a wet year:

[0060]

[0061] The simulation results show that in a year with abundant water, under the sprinkler irrigation method, proper irrigation of crops during the sowing and emergence stages can obtain better yield values ​​compared with other irrigation systems. Considering the premise of saving water resources and optimizing the irrigation system, the same irrigation method is chosen during the crop growth period, and under the T3 irrigation treatment (50 mm of irrigation at the emergence stage), the corn yield reaches the maximum value of 10.994 t / ha.

[0062] 3. System simulation of different irrigation treatments under furrow irrigation conditions in a wet year:

[0063]

[0064]

[0065] The simulation results show that in the year of high water, from the perspective of maximizing yield and the highest utilization of water resources, the difference in yield formation between furrow irrigation and drip irrigation is not very large. Similarly, during the seedling stage of the crop growth period, the crop is irrigated once with a water volume of 50 mm. The yield of corn is 10.996 t / ha. The subsequent supplementary irrigation does not bring much benefit to the crop yield. Excessive irrigation may also affect the salinity of the soil to a certain extent.

[0066] The irrigation simulation results in a normal water year are as follows:

[0067] 1. System simulation of different irrigation treatments under drip irrigation conditions in normal water years:

[0068]

[0069] According to the simulation results in the table above, in normal water years, as the number and quantity of irrigations increase, the yield of corn will increase accordingly. The yield reached the highest value of 10.260t / ha under the irrigation method of 50mm each in T6 (sowing period + tasseling period) and T9 (bell mouth period + tasseling period). The T6 and T9 treatments were not irrigated during the filling period, but still achieved a high output value. This is because the irrigation in the first two periods was sufficient, and the mild water deficit during the corn filling period did not affect the yield. Under the three-water treatment method of T13, T14, and T15 in three different growth periods, the yield decreased to a certain extent compared with the highest value, but the overall difference was not very large.

[0070] 2. System simulation of different irrigation treatments under sprinkler irrigation conditions in normal water years:

[0071]

[0072] The simulation results show that in normal water years, under the irrigation method of sprinkler irrigation, a certain amount of irrigation is carried out on crops during the sowing period, seedling period and tasseling period, which can obtain better yield values ​​than other irrigation systems. Considering the premise of saving water resources and optimizing the irrigation system, the yield reaches the highest value of 10.260t / ha when two irrigations are carried out during the crop growth period and 50mm irrigation is carried out at T6 (sowing period + tasseling period) and T9 (seedling period + tasseling period). Supplementary irrigation in the later period does not promote the formation of crop yield. When treated at different times from T2 to T5 (irrigation once), the yield is slightly lower than that of the two irrigations.

[0073] 3. System simulation of different irrigation treatments under furrow irrigation conditions in normal water years:

[0074]

[0075] The simulation results show that in normal water years, from the perspective of maximizing yield and utilizing water resources, the yield of furrow irrigation is not much different from that of drip irrigation and sprinkler irrigation. The corn yield is 10.260t / ha when the irrigation method of 50mm is used in T6 (sowing period + tasseling period) and T9 (seedling period + tasseling period) during the crop growth period.

[0076] The simulation results of irrigation in dry years are as follows:

[0077] 1. System simulation of different irrigation treatments under drip irrigation conditions in dry years:

[0078]

[0079] According to the model simulation results, in the dry year, under the T16 (full irrigation) treatment, the corn yield reached a maximum value of 9.23t / ha, and the yield under the T13 (sowing period + seedling period + filling period) treatment was consistent with the T16 treatment, indicating that there was no significant difference in the corresponding yield regardless of whether the tasseling period was irrigated or not, indicating that the tasseling period irrigation did not have a significant effect on the yield. Therefore, it is recommended to appropriately cancel the tasseling period irrigation. The next treatments that achieved higher yields were the T12 (sowing period + seedling period + tasseling period) and T15 (seedling period + tasseling period + filling period) irrigation methods.

[0080] 2. System simulation of different irrigation treatments under sprinkler irrigation conditions in dry years:

[0081]

[0082]

[0083] The simulation results show that in dry years, under the irrigation method of sprinkler irrigation, the yield under the T16 (full irrigation) treatment in dry years is consistent with that under the T13 (sowing period + seedling period + filling period), and the maximum corn yield reaches 9.23t / ha. Proper irrigation of crops during the sowing period, seedling period and filling period can obtain better yield values ​​compared with other irrigation systems. Considering the premise of saving water resources and optimizing the irrigation system, three irrigations during the crop growth period and 50mm irrigation at T13 (sowing period + seedling period + filling period) are selected. It is recommended to appropriately cancel the irrigation during the tasseling period. The yields of the three irrigation treatments from T12 to T15 all showed a downward trend to varying degrees.

[0084] 3. System simulation of different irrigation treatments under furrow irrigation conditions in dry years:

[0085]

[0086] The simulation results show that in the dry year, under the T16 (full irrigation) treatment, the yield of corn reached the highest value of 9.23t / ha, and the yield under the T13 (sowing period + seedling period + filling period) treatment was consistent with the T16 treatment, indicating that there was no significant difference in the corresponding yield regardless of whether the tasseling period was irrigated or not, indicating that the tasseling period irrigation had no significant effect on the yield. From the perspective of maximizing yield and maximizing water resource utilization, under the premise of optimizing the irrigation system, three irrigations during the crop growth period and 50mm irrigation at T13 (sowing period + seedling period + filling period) were selected. The second treatment with higher yield was the T12 (sowing period + seedling period + tasseling period) and T15 (seedling period + tasseling period + filling period) irrigation methods. The yields showed a downward trend to varying degrees when the T12-T15 irrigation three-water treatments were used. In the T6-T11 (two irrigations) treatment, the corn yields in the T7, T8, and T11 treatments were the lowest, because the severe water shortage at the seedling stage hindered the formation of corn leaves. In the other two-water treatments, if the crops were irrigated at the right time, higher yields would be achieved. In the T2-T5 one-irrigation treatment and the T1 no-irrigation treatment, the corn yield was relatively low due to severe water shortage.

[0087] It can be seen from the above embodiments that in the year of abundant water, from the results of multiple irrigation treatments during the growth period of corn, the maximum and minimum values ​​of the yield are only slightly different, indicating that the impact on the yield is not significant. Under the T3 irrigation treatment (irrigation at the seedling stage), the irrigation design of 50 mm of water is adopted. The water utilization rates of drip irrigation, sprinkler irrigation and furrow irrigation are 2.49, 2.46 and 2.46 respectively. Considering the maximum water utilization rate, drip irrigation is the appropriate irrigation method.

[0088] In the year with normal water supply, multiple irrigation treatments were carried out during the growth period of corn, and the difference between the highest and lowest yield values ​​was not significant, indicating that the impact on yield was not significant. The irrigation design of 50 mm was adopted at T6 (sowing period + tasting period) and T9 (seedling period + tasting period). The water utilization rates of drip irrigation, sprinkler irrigation and furrow irrigation were 2.44, 2.46 and 2.43, respectively. Considering the maximum water utilization rate, sprinkler irrigation is the appropriate irrigation method.

[0089] In the dry year, the results of multiple irrigation treatments were analyzed during the maize growth period, and a 50 mm irrigation design was adopted at T13 (sowing period + seedling period + filling period). The water utilization rates of drip irrigation, sprinkler irrigation and furrow irrigation were 2.57, 2.53 and 2.43 respectively. Considering the maximum water utilization rate, drip irrigation is the best irrigation method.

[0090] Through the above simulation results, we can formulate corresponding irrigation plans for corn according to different irrigation principles, such as maximum water use efficiency or highest yield, so as to increase corn yield or improve the utilization rate of water resources.

[0091] In another embodiment, the calibration method of the Aqua Crop crop model includes:

[0092] Determine the field experiment test data by the sowing and harvesting time of the crops, the current irrigation method, the number of irrigation times, the irrigation amount and the crop yield;

[0093] Preprocessing and feature extraction of the field experimental test data to obtain feature data for Aqua Crop crop model calibration;

[0094] The characteristic data is input into the Aqua Crop crop model, an output result of the Aqua Crop crop model is obtained, and parameter calibration and correction are performed on the Aqua Crop crop model according to the output result until the error between the output of the Aqua Crop crop model and the field experiment test data is less than a threshold value.

[0095] In this embodiment, since the Aqua Crop crop model is a new crop growth simulation model and users can use it for free, the Aqua Crop crop model is used as a research method, and the parameters of the model are calibrated using field measured data to explore its applicability in crop production. Under different irrigation modes, the best irrigation management strategy is formulated with the premise of maximum water utilization rate and highest yield, and an agricultural irrigation system that saves irrigation water and achieves stable and high yield is established, providing certain theoretical references for coping with future environmental deterioration and intensified drought.

[0096] So far, completed Figure 1 The process shown.

[0097] In an embodiment of the present application, the historical annual precipitation information of the target area is first obtained to determine the precipitation guarantee rate of the area, thereby determining the target precipitation of a typical year for the Aqua Crop crop model analysis. Then, the target precipitation, irrigation method, growth stage of crops and corresponding irrigation amount are traversed and simulated to generate several irrigation system scenario plans, and then the yield, biomass and water utilization rate of each plan are determined by the Aqua Crop crop model to determine the optimal irrigation plan. This improves the utilization rate of water resources during irrigation and increases the productivity of crops.

[0098] The present application also provides a device for determining a crop irrigation plan based on an Aqua Crop crop model, such as Figure 2 As shown, the device comprises:

[0099] A typical year determination unit 201 is used to determine annual precipitation information of a target area within a preset time interval, determine an annual precipitation guarantee rate according to the annual precipitation information, and determine a typical year in the annual precipitation information and a target precipitation of the typical year according to the precipitation guarantee rate, wherein the annual precipitation information includes a year and a corresponding precipitation;

[0100] A scenario determination unit 202 is used to simulate and generate a plurality of irrigation system scenario plans according to the target precipitation, the preset irrigation method, the growth stage of the crop and the irrigation amount corresponding to each growth stage, wherein the preset irrigation method includes furrow irrigation, drip irrigation and sprinkler irrigation, and the growth stage includes sowing period, seedling emergence period, tasseling period and filling period;

[0101] The target irrigation scheme determination unit 203 is used to simulate and execute the irrigation system scenario through the calibrated Aqua Crop crop model, determine the execution results of each irrigation system scenario, and determine the target irrigation scheme of the crops according to the execution results and the preset irrigation principles, wherein the execution results include the yield, biomass and water utilization rate of the crops.

[0102] In another embodiment, determining the annual precipitation guarantee rate according to the annual precipitation information in the typical year determination unit includes:

[0103] The annual precipitation information is arranged in descending order, and the empirical frequency calculation formula is used to calculate the annual precipitation information. Calculate the precipitation guarantee rate, where m is the arrangement number in the precipitation information, n is the total number of years, and p is the precipitation guarantee rate.

[0104] In another embodiment, the typical year determining unit determines the typical year in the annual precipitation information according to the precipitation guarantee rate, including:

[0105] The years with precipitation guarantee rates closest to 25%, 50% and 75% are determined as typical years, among which the year closest to 25% is the typical year of the flood season, the year closest to 50% is the typical year of the normal water season, and the year closest to 75% is the typical year of the dry season.

[0106] In another embodiment, the calibration method of the Aqua Crop crop model in the target irrigation scheme determination unit includes:

[0107] Determine the field experiment test data by the sowing and harvesting time of the crops, the current irrigation method, the number of irrigation times, the irrigation amount and the crop yield;

[0108] Preprocessing and feature extraction of the field experimental test data to obtain feature data for Aqua Crop crop model calibration;

[0109] The characteristic data is input into the Aqua Crop crop model, an output result of the Aqua Crop crop model is obtained, and parameter calibration and correction are performed on the Aqua Crop crop model according to the output result until the error between the output of the Aqua Crop crop model and the field experiment test data is less than a threshold value.

[0110] In another embodiment, the irrigation principle in the target irrigation scheme determination unit includes maximum water efficiency or maximum yield.

[0111] The above embodiment of the present invention provides a method for determining a crop irrigation plan based on the Aqua Crop crop model, and based on this method, provides a device for determining a crop irrigation plan based on the Aqua Crop crop model. Through the above method and device, the water resource utilization rate in the irrigation process is improved, and the productivity of crops is improved.

[0112] This embodiment also discloses a computer device, such as Figure 3 As shown, the computer device includes a processor and a memory, wherein the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement any of the above-mentioned methods for determining a crop irrigation plan based on an Aqua Crop crop model.

[0113] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims

1. A method for determining a crop irrigation plan based on an Aqua Crop crop model, characterized in that: The method comprises: Determine annual precipitation information of a target area within a preset time interval, determine an annual precipitation guarantee rate according to the annual precipitation information, and determine a typical year in the annual precipitation information and a target precipitation for the typical year according to the precipitation guarantee rate, wherein the annual precipitation information includes a year and a corresponding precipitation; According to the target precipitation, the preset irrigation method, the growth stage of the crop and the irrigation amount corresponding to each growth stage, several irrigation system scenario plans are simulated and generated, wherein the preset irrigation method includes furrow irrigation, drip irrigation and sprinkler irrigation, and the growth stage includes sowing period, seedling emergence period, tasseling period and filling period; The irrigation system scenario is simulated and executed by a calibrated Aqua Crop crop model to determine the execution results of each irrigation system scenario, and the target irrigation plan of the crops is determined based on the execution results and preset irrigation principles. The execution results include the yield, biomass and water utilization rate of the crops.

2. The method according to claim 1, characterized in that Determining the annual precipitation guarantee rate according to the annual precipitation information includes: The annual precipitation information is arranged in descending order, and the empirical frequency calculation formula is used to calculate the annual precipitation information. Calculate the precipitation guarantee rate, where m is the arrangement number in the precipitation information, n is the total number of years, and p is the precipitation guarantee rate.

3. The method according to claim 1, characterized in that The typical year in the annual precipitation information determined according to the precipitation guarantee rate includes: The years with precipitation guarantee rates closest to 25%, 50% and 75% are determined as typical years, among which the year closest to 25% is the typical year of the flood season, the year closest to 50% is the typical year of the normal water season, and the year closest to 75% is the typical year of the dry season.

4. The method according to claim 1, characterized in that: The calibration method of the Aqua Crop crop model includes: Determine the field experiment test data by the sowing and harvesting time of the crops, the current irrigation method, the number of irrigation times, the irrigation amount and the crop yield; Preprocessing and feature extraction of the field experimental test data to obtain feature data for Aqua Crop crop model calibration; The characteristic data is input into the Aqua Crop crop model, an output result of the Aqua Crop crop model is obtained, and parameter calibration and correction are performed on the Aqua Crop crop model according to the output result until the error between the output of the Aqua Crop crop model and the field experimental test data is less than a threshold value.

5. The method according to claim 1, characterized in that The irrigation principles include maximum water efficiency or maximum yield.

6. A device for determining a crop irrigation plan based on an Aqua Crop crop model, characterized in that: The device comprises: A typical year determination unit, used to determine annual precipitation information of a target area within a preset time interval, determine an annual precipitation guarantee rate according to the annual precipitation information, and determine a typical year in the annual precipitation information and a target precipitation of the typical year according to the precipitation guarantee rate, wherein the annual precipitation information includes a year and a corresponding precipitation; A scenario determination unit is used to simulate and generate a plurality of irrigation system scenario plans according to the target precipitation, the preset irrigation method, the growth stage of the crop and the irrigation amount corresponding to each growth stage, wherein the preset irrigation method includes furrow irrigation, drip irrigation and sprinkler irrigation, and the growth stage includes sowing period, seedling emergence period, tasseling period and filling period; The target irrigation scheme determination unit is used to simulate and execute the irrigation system scenario scheme through the calibrated Aqua Crop crop model, determine the execution results of each irrigation system scenario scheme, and determine the target irrigation scheme of the crops according to the execution results and preset irrigation principles, wherein the execution results include the yield, biomass and water utilization rate of the crops.

7. The device according to claim 6, characterized in that Determining the annual precipitation guarantee rate according to the annual precipitation information in the typical year determination unit includes: The annual precipitation information is arranged in descending order, and the empirical frequency calculation formula is used to calculate the annual precipitation information. Calculate the precipitation guarantee rate, where m is the arrangement number in the precipitation information, n is the total number of years, and p is the precipitation guarantee rate.

8. The device according to claim 6, characterized in that The typical year determination unit determines the typical year in the annual precipitation information according to the precipitation guarantee rate, including: The years with precipitation guarantee rates closest to 25%, 50% and 75% are determined as typical years, among which the year closest to 25% is the typical year of the flood season, the year closest to 50% is the typical year of the normal water season, and the year closest to 75% is the typical year of the dry season.

9. The device according to claim 6, characterized in that The calibration method of the AquaCrop crop model in the target irrigation scheme determination unit includes: Determine the field experiment test data by the sowing and harvesting time of the crops, the current irrigation method, the number of irrigation times, the irrigation amount and the crop yield; Preprocessing and feature extraction of the field experimental test data to obtain feature data for Aqua Crop crop model calibration; The characteristic data is input into the Aqua Crop crop model, an output result of the Aqua Crop crop model is obtained, and parameter calibration and correction are performed on the Aqua Crop crop model according to the output result until the error between the output of the Aqua Crop crop model and the field experimental test data is less than a threshold value.

10. The device according to claim 6, characterized in that The irrigation principles in the target irrigation scheme determination unit include maximum water efficiency or maximum yield.

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