Intelligent calculation method and system for agricultural irrigation water

Abstract

The invention is suitable for the technical field of agricultural irrigation, and provides an intelligent calculation method and system for agricultural irrigation water. The method comprises the following steps: dividing a plurality of crop irrigation sub-regions; periodic monitoring shooting is carried out; meteorological monitoring is carried out, and standard crop evapotranspiration is calculated; determining a plurality of crop growth stages and a plurality of crop growth states; carrying out evapotranspiration optimization, and calculating a plurality of optimized crop evapotranspiration amounts and irrigation water consumption of a plurality of sub-regions. According to different crop types, a plurality of crop irrigation sub-regions can be divided, monitoring shooting and meteorological monitoring can be performed, standard crop evapotranspiration can be calculated, evapotranspiration optimization can be performed on different crop irrigation sub-regions, irrigation water consumption of the sub-regions can be calculated, high-precision calculation of agricultural irrigation water can be realized, insufficient irrigation can be avoided, and the irrigation efficiency can be improved. Excessive irrigation can be avoided, so that appropriate moisture support is provided for crop growth, normal growth and development of crops are guaranteed, and the requirement of modern agriculture for efficient utilization of water resources can be met.

Description

Technical Field

[0001] The present invention belongs to the technical field of agricultural irrigation, and in particular relates to an intelligent calculation method and system for agricultural irrigation water. Background Art

[0002] Agricultural irrigation is an agricultural activity that artificially replenishes water in farmland to meet the needs of normal growth of crops. Many factors need to be considered in agricultural irrigation, including the type of crop, growth stage and weather conditions, in order to provide a good environment for the growth of crops.

[0003] In the prior art, the calculation of agricultural irrigation water often lacks precision, and the irrigation water volume is roughly estimated only through traditional experience and intuitive judgment. On the one hand, this method is likely to cause insufficient irrigation, making it impossible for crops to obtain sufficient water support during the growth process; on the other hand, this method is likely to cause excessive irrigation, resulting in a waste of water resources, and also affecting the soil permeability and microbial environment, which is not conducive to the normal growth and development of crops, and it is difficult to meet the needs of modern agriculture for the efficient use of water resources. Summary of the invention

[0004] The purpose of the embodiments of the present invention is to provide an intelligent calculation method and system for agricultural irrigation water, aiming to solve the technical problems existing in the prior art mentioned in the background technology.

[0005] The embodiment of the present invention is implemented as follows: A method for intelligent calculation of agricultural irrigation water, the method specifically comprising the following steps: Determine a target irrigation area and multiple crop types, obtain planting record data, and divide the target irrigation area into multiple crop irrigation sub-areas according to different crop types; Perform periodic monitoring and shooting of the target irrigation area, obtain regional monitoring data, and record the current cycle period; Performing meteorological monitoring on the target irrigation area, extracting the meteorological data of the current cycle period, and performing standard evapotranspiration analysis to calculate standard crop evapotranspiration; Determine the crop growth stages of multiple crop types according to the planting record data, and identify the regional surveillance data to determine the crop growth status of the multiple crop types; According to multiple crop types, multiple crop growth stages and multiple crop growth states, evapotranspiration optimization is performed to calculate the optimized crop evapotranspiration of multiple crop irrigation sub-areas, and irrigation water analysis is performed to calculate the irrigation water consumption of multiple sub-areas.

[0006] As a further limitation of the technical solution of the embodiment of the present invention, the determining of the target irrigation area and multiple crop types, and obtaining the planting record data, and dividing the target irrigation area into multiple crop irrigation sub-areas according to different crop types specifically includes the following steps: Identify target irrigation areas and multiple crop types; Obtain planting record data; Extracting planting range data of a plurality of the crop types from the planting record data; According to the plurality of planting range data, the target irrigation area is divided into a plurality of crop irrigation sub-areas.

[0007] As a further limitation of the technical solution of the embodiment of the present invention, the periodic monitoring and shooting of the target irrigation area, obtaining the regional monitoring data, and recording the current periodic time specifically include the following steps: Planning a monitoring and shooting route according to the target irrigation area; Choose a surveillance drone; According to the monitoring shooting route and the preset monitoring shooting cycle, the monitoring shooting drone is periodically controlled to obtain regional monitoring shooting data; Record the current cycle period.

[0008] As a further limitation of the technical solution of the embodiment of the present invention, the meteorological monitoring of the target irrigation area, extracting the meteorological data of the current cycle period, and performing standard evapotranspiration analysis to calculate the standard crop evapotranspiration specifically includes the following steps: Conducting meteorological monitoring on the target irrigation area and recording meteorological monitoring data; Extracting the periodic meteorological data of the current periodic period from the meteorological monitoring data; Based on the meteorological data of the time period, standard evapotranspiration analysis is carried out to calculate the standard crop evapotranspiration.

[0009] As a further limitation of the technical solution of the embodiment of the present invention, the calculation formula of the standard crop evapotranspiration is: ; in, is the standard crop evapotranspiration, is the slope of the saturated steam curve, is the net radiation, is the soil heat flux, is the air humidity constant, is the wind speed, is the average saturated vapor pressure, is the current vapor pressure, is the average temperature.

[0010] As a further limitation of the technical solution of the embodiment of the present invention, the step of determining the crop growth stages of multiple crop types according to the planting record data, identifying the regional monitoring data, and determining the crop growth states of multiple crop types specifically includes the following steps: Extracting a plurality of crop record data of the crop types from the planting record data; determining a crop growth stage of a plurality of crop types according to the current cycle period and a plurality of the crop record data; Processing the regional surveillance data to extract sub-region representative images of a plurality of the crop irrigation sub-regions; The plurality of sub-region representative images are identified to determine the crop growth status of the plurality of crop types.

[0011] As a further limitation of the technical solution of the embodiment of the present invention, the optimization of evapotranspiration according to multiple crop types, multiple crop growth stages and multiple crop growth states, the calculation of the optimized crop evapotranspiration of multiple crop irrigation sub-areas, the analysis of irrigation water, and the calculation of the irrigation water amount of multiple sub-areas specifically include the following steps: Match multiple crop evapotranspiration impact coefficients according to multiple crop types and multiple crop growth stages; According to the growth states of multiple crops, multiple crop state influence coefficients are matched; According to the plurality of crop evapotranspiration influence coefficients and the plurality of crop state influence coefficients, the standard crop evapotranspiration is optimized to calculate the optimized crop evapotranspiration of the plurality of crop irrigation sub-areas; Based on the multiple optimized crop evapotranspiration, irrigation water analysis is performed to calculate the irrigation water amounts of multiple sub-areas.

[0012] As a further limitation of the technical solution of the embodiment of the present invention, the calculation formulas for the multiple optimized crop evapotranspiration are: ; in, Representative Crop irrigation sub-areas / crop types, For the Optimized crop evapotranspiration for each crop irrigation sub-area, For the Crop type The crop evapotranspiration influence coefficient corresponding to each crop growth stage is: For the Crop status influence coefficient corresponding to each crop type; The calculation formula for the irrigation water consumption of the plurality of sub-areas is: ; in, For the The amount of irrigation water used in each crop irrigation sub-region, For the The sub-region area of ​​the crop irrigation sub-region, For the The precipitation of the crop irrigation sub-area in the current cycle period, For the The groundwater utilization of each crop irrigation sub-area in the current cycle period, is the preset irrigation utilization coefficient.

[0013] An agricultural irrigation water intelligent computing system, the system comprises an irrigation area division module, a regional monitoring and shooting module, a standard evapotranspiration analysis module, a crop growth analysis module and an irrigation water analysis module, wherein: The irrigation area division module is used to determine the target irrigation area and multiple crop types, and obtain planting record data, and divide the target irrigation area into multiple crop irrigation sub-areas according to different crop types; A regional monitoring and shooting module is used to periodically monitor and shoot the target irrigation area, obtain regional monitoring and shooting data, and record the current cycle period; A standard evapotranspiration analysis module is used to perform meteorological monitoring on the target irrigation area, extract the meteorological data of the current period, perform standard evapotranspiration analysis, and calculate the standard crop evapotranspiration; A crop growth analysis module, for determining the crop growth stages of multiple crop types according to the planting record data, and identifying the regional monitoring data to determine the crop growth status of the multiple crop types; The irrigation water analysis module is used to optimize evapotranspiration according to multiple crop types, multiple crop growth stages and multiple crop growth states, calculate the optimized crop evapotranspiration of multiple crop irrigation sub-areas, perform irrigation water analysis, and calculate the irrigation water volume of multiple sub-areas.

[0014] As a further limitation of the technical solution of the embodiment of the present invention, the irrigation area division module specifically includes: an area determination unit for determining target irrigation areas and multiple crop types; A data acquisition unit, used for acquiring planting record data; A data extraction unit, used for extracting planting range data of a plurality of crop types from the planting record data; The area division unit is used to divide the target irrigation area into multiple crop irrigation sub-areas according to the multiple planting range data.

[0015] Compared with the prior art, the present invention has the following beneficial effects: The embodiment of the present invention divides a plurality of crop irrigation sub-areas; performs periodic monitoring and shooting; performs meteorological monitoring, calculates standard crop evapotranspiration; determines a plurality of crop growth stages and a plurality of crop growth states; performs evapotranspiration optimization, calculates a plurality of optimized crop evapotranspiration and a plurality of sub-area irrigation water consumption. According to different crop types, a plurality of crop irrigation sub-areas can be divided, monitoring and shooting and meteorological monitoring can be performed, standard crop evapotranspiration can be calculated, and evapotranspiration optimization can be performed on different crop irrigation sub-areas, and irrigation water consumption of a plurality of sub-areas can be calculated, so as to realize high-precision calculation of agricultural irrigation water, avoid insufficient irrigation and excessive irrigation, thereby providing appropriate water support for crop growth, ensuring the normal growth and development of crops, and meeting the needs of modern agriculture for efficient use of water resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A flow chart of an intelligent calculation method for agricultural irrigation water provided by an embodiment of the present invention is shown; Figure 2 A flow chart showing the division of target irrigation areas in the method provided by an embodiment of the present invention is shown; Figure 3 A flowchart of periodic monitoring and shooting of an area in a method provided by an embodiment of the present invention is shown; Figure 4 A flow chart showing the calculation of standard crop evapotranspiration in the method provided in an embodiment of the present invention is shown; Figure 5 A flow chart showing the growth state of a growth stage in a method provided by an embodiment of the present invention is shown; Figure 6 A flow chart showing the method for calculating the irrigation water consumption of a sub-region in an embodiment of the present invention is shown; Figure 7 The application architecture diagram of the agricultural irrigation water intelligent computing system provided by the embodiment of the present invention is shown; Figure 8 The structure block diagram of the irrigation area division module in the system provided by the embodiment of the present invention is shown. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0018] It is understandable that in the prior art, the calculation of agricultural irrigation water often lacks precision, and the irrigation water volume is roughly estimated only through traditional experience and intuitive judgment. On the one hand, this method is likely to cause insufficient irrigation, making it impossible for crops to obtain sufficient water support during the growth process; on the other hand, this method is likely to cause excessive irrigation, which not only leads to a waste of water resources, but also affects the soil permeability and microbial environment, which is not conducive to the normal growth and development of crops, and it is difficult to meet the needs of modern agriculture for the efficient use of water resources.

[0019] To solve the above problems, an embodiment of the present invention discloses an intelligent calculation method and system for agricultural irrigation water. The method and system determine a target irrigation area and multiple crop types, obtain planting record data, and divide the target irrigation area into multiple crop irrigation sub-areas according to different crop types; periodically monitor and photograph the target irrigation area, obtain regional monitoring data, and record the current cycle period; perform meteorological monitoring on the target irrigation area, extract the period meteorological data of the current cycle period, perform standard evapotranspiration analysis, and calculate the standard crop evapotranspiration; determine the crop growth stages of multiple crop types according to the planting record data, identify the regional monitoring data, and determine the crop growth status of multiple crop types; perform evapotranspiration optimization according to multiple crop types, multiple crop growth stages, and multiple crop growth statuses, calculate the optimized crop evapotranspiration of multiple crop irrigation sub-areas, perform irrigation water analysis, and calculate the irrigation water volume of multiple sub-areas. It can divide multiple crop irrigation sub-areas according to different crop types, conduct surveillance and meteorological monitoring, calculate standard crop evapotranspiration, optimize evapotranspiration for different crop irrigation sub-areas, calculate irrigation water consumption for multiple sub-areas, and achieve high-precision calculation of agricultural irrigation water. It can avoid both insufficient and excessive irrigation, thereby providing appropriate water support for crop growth, ensuring the normal growth and development of crops, and meeting the needs of modern agriculture for efficient use of water resources.

[0020] Specifically, Figure 1 A flow chart of an intelligent calculation method for agricultural irrigation water provided by an embodiment of the present invention is shown.

[0021] In a preferred embodiment of the present invention, a method for intelligent calculation of agricultural irrigation water is provided, the method specifically comprising the following steps: Step S101, determine a target irrigation area and multiple crop types, and obtain planting record data, and divide the target irrigation area into multiple crop irrigation sub-areas according to different crop types.

[0022] In an embodiment of the present invention, a target irrigation area and multiple crop types are determined, and then planting record data of the target irrigation area is obtained. By identifying the planting record data, planting range data corresponding to the multiple crop types are extracted from the planting record data, and then based on the multiple planting range data, the target irrigation area is divided into multiple crop irrigation sub-areas, and the multiple crop irrigation sub-areas correspond to the multiple crop types.

[0023] It is understandable that crops of multiple crop types are planted separately rather than alternately in the target irrigation area.

[0024] It can be understood that the planting record data is data that records the planting time, planting range, growth cycle, planting density, fertilization, irrigation, pest and disease control, etc. of crops in the target irrigation area according to multiple crop types, and also records information such as soil type, texture and groundwater conditions.

[0025] Specifically, Figure 2 A flow chart of dividing a target irrigation area in the method provided by an embodiment of the present invention is shown.

[0026] Among them, in the preferred embodiment provided by the present invention, the determination of the target irrigation area and multiple crop types, and the acquisition of planting record data, and the division of the target irrigation area into multiple crop irrigation sub-areas according to different crop types specifically include the following steps: Step S1011: determine the target irrigation area and multiple crop types.

[0027] Step S1012: Obtain planting record data.

[0028] Step S1013: extracting planting range data of multiple crop types from the planting record data.

[0029] Step S1014: Divide the target irrigation area into multiple crop irrigation sub-areas according to the multiple planting range data.

[0030] Furthermore, the agricultural irrigation water intelligent calculation method further comprises the following steps: Step S102: periodically monitor and photograph the target irrigation area, obtain regional monitoring data, and record the current cycle period.

[0031] In an embodiment of the present invention, a regional electronic map of the target irrigation area is obtained, and a monitoring flight plan is performed according to the topography of the target irrigation area in the regional electronic map to generate a monitoring route. Then, a monitoring drone is selected from multiple standby drones, and periodic monitoring control is performed on the monitoring drone according to the monitoring route and a preset monitoring cycle to obtain regional monitoring data and record the current cycle period.

[0032] It can be understood that the current cycle period is the period between the last drone monitoring and the current drone monitoring, which is consistent with the duration of the monitoring cycle.

[0033] Specifically, Figure 3 A flow chart of periodic monitoring and shooting of an area in the method provided by an embodiment of the present invention is shown.

[0034] Among them, in the preferred embodiment provided by the present invention, the periodic monitoring and shooting of the target irrigation area, obtaining regional monitoring data, and recording the current period specifically include the following steps: Step S1021: planning a monitoring and shooting route according to the target irrigation area.

[0035] Step S1022: Select a surveillance drone.

[0036] Step S1023: According to the monitoring shooting route and the preset monitoring shooting cycle, the monitoring shooting drone is periodically controlled to obtain regional monitoring shooting data.

[0037] Step S1024: record the current cycle period.

[0038] Furthermore, the agricultural irrigation water intelligent calculation method further comprises the following steps: Step S103: Perform meteorological monitoring on the target irrigation area, extract the meteorological data of the current cycle period, perform standard evapotranspiration analysis, and calculate standard crop evapotranspiration.

[0039] In the embodiment of the present invention, the meteorological monitoring data is obtained by continuously monitoring and recording the sunshine, wind speed, humidity, temperature and rainfall in the target irrigation area, and then the period meteorological data of the current cycle period is extracted from the meteorological monitoring data, and then the standard evapotranspiration analysis is performed according to the period meteorological data to calculate the standard crop evapotranspiration. Specifically, the calculation formula of the standard crop evapotranspiration is: ; in, is the standard crop evapotranspiration, is the slope of the saturated steam curve, is the net radiation, is the soil heat flux, is the air humidity constant, is the wind speed, is the average saturated vapor pressure, is the current vapor pressure, is the average temperature.

[0040] It can be understood that the slope of the saturated vapor curve, net radiation, soil heat flux, air humidity constant, wind speed, average saturated vapor pressure, current vapor pressure and average temperature are values ​​directly obtained or analyzed from the meteorological data of the time period.

[0041] Specifically, Figure 4 A flow chart of calculating standard crop evapotranspiration in the method provided in an embodiment of the present invention is shown.

[0042] Among them, in the preferred embodiment provided by the present invention, the meteorological monitoring of the target irrigation area, extracting the meteorological data of the current cycle period, and performing standard evapotranspiration analysis, and calculating the standard crop evapotranspiration specifically include the following steps: Step S1031: Perform meteorological monitoring on the target irrigation area and record meteorological monitoring data.

[0043] Step S1032: extracting the periodic meteorological data of the current period from the meteorological monitoring data.

[0044] Step S1033: Perform standard evapotranspiration analysis based on the meteorological data of the time period to calculate the standard crop evapotranspiration.

[0045] Furthermore, the agricultural irrigation water intelligent calculation method further comprises the following steps: Step S104: determining the crop growth stages of the plurality of crop types according to the planting record data, and identifying the regional monitoring data to determine the crop growth states of the plurality of crop types.

[0046] In an embodiment of the present invention, by identifying the planting record data, crop record data of multiple crop types are extracted from the planting record data, wherein the multiple crop record data include the planting time and growth cycle of the multiple crop types. According to the planting time and growth cycle of the multiple crop types, the crop growth stages of the multiple crop types can be inferred, and by processing the regional monitoring data, sub-region representative images of multiple crop irrigation sub-regions are extracted, and then based on big data technology, standard growth images of multiple crop types in corresponding crop growth stages are selected, and with the multiple standard growth images as reference, the multiple sub-region representative images are compared to determine the crop growth status of the multiple crop types.

[0047] It is understandable that different crop growth stages may include: early growth stage, growth and development stage, mid-growth stage and growth and maturity stage.

[0048] It can be understood that the regional monitoring data contains multiple regional monitoring images, among which the sub-region representative image can be a regional monitoring image of the corresponding crop irrigation sub-region that is completely captured, or it can be the clearest regional monitoring image of the corresponding crop irrigation sub-region.

[0049] Specifically, Figure 5 A flow chart of determining the growth state of a growth phase in the method provided by an embodiment of the present invention is shown.

[0050] Among them, in the preferred embodiment provided by the present invention, the crop growth stages of multiple crop types are determined according to the planting record data, and the regional monitoring data is identified, and the crop growth status of multiple crop types is determined, which specifically includes the following steps: Step S1041: extracting crop record data of a plurality of crop types from the planting record data.

[0051] Step S1042: determining the crop growth stages of multiple crop types according to the current cycle period and the multiple crop record data.

[0052] Step S1043: Process the regional surveillance data to extract sub-region representative images of the plurality of crop irrigation sub-regions.

[0053] Step S1044: Identify the plurality of sub-region representative images to determine the crop growth status of the plurality of crop types.

[0054] Furthermore, the agricultural irrigation water intelligent calculation method further comprises the following steps: Step S105, performing evapotranspiration optimization according to multiple crop types, multiple crop growth stages and multiple crop growth states, calculating optimized crop evapotranspiration of multiple crop irrigation sub-areas, performing irrigation water analysis, and calculating irrigation water amounts of multiple sub-areas.

[0055] In the embodiment of the present invention, multiple crop evapotranspiration influence coefficients are matched according to multiple crop types and multiple crop growth stages, and multiple crop state influence coefficients are matched according to multiple crop growth states. Then, according to the multiple crop evapotranspiration influence coefficients and the multiple crop state influence coefficients, targeted evapotranspiration optimization is performed on multiple crop irrigation sub-areas, and the optimized crop evapotranspiration of the multiple crop irrigation sub-areas is calculated. Then, based on the multiple optimized crop evapotranspiration, irrigation water analysis is performed to calculate the sub-area irrigation water amount of the multiple crop irrigation sub-areas. Specifically, the calculation formulas for the multiple optimized crop evapotranspiration are as follows: ; in, Representative Crop irrigation sub-areas / crop types, For the Optimized crop evapotranspiration for each crop irrigation sub-area, For the Crop type The crop evapotranspiration influence coefficient corresponding to each crop growth stage is: For the Crop status influence coefficient corresponding to each crop type; The calculation formula for the irrigation water consumption of the plurality of sub-areas is: ; in, For the The amount of irrigation water used in each crop irrigation sub-region, For the The sub-region area of ​​the crop irrigation sub-region, For the The precipitation of the crop irrigation sub-area in the current cycle period, For the The groundwater utilization of each crop irrigation sub-area in the current cycle period, is the preset irrigation utilization coefficient.

[0056] It is understandable that different crop types have different crop evapotranspiration influence coefficients at different crop growth stages. For example, the crop evapotranspiration influence coefficient of corn in the growth and development period is 0.74, and the crop evapotranspiration influence coefficient in the growth and maturity period is 0.52; the crop evapotranspiration influence coefficient of sunflower in the growth and development period is 0.86, and the crop evapotranspiration influence coefficient in the growth and maturity period is 0.55.

[0057] It can be understood that the crop state impact coefficient is related to the crop growth state, and represents whether the crop is short of water and the degree of water shortage. If the crop is short of water, the value of the crop state impact coefficient is greater than 1; if the crop has excess water, the value of the crop state impact coefficient is less than 1.

[0058] It can be understood that the precipitation of multiple crop irrigation sub-areas can be determined based on the period meteorological data and the sub-area areas of the multiple crop irrigation sub-areas; and the multiple groundwater utilization amounts can be determined based on the planting record data and the sub-area areas of the multiple crop irrigation sub-areas.

[0059] Specifically, Figure 6 A flow chart of calculating the irrigation water consumption of a sub-region in the method provided by an embodiment of the present invention is shown.

[0060] Among them, in the preferred embodiment provided by the present invention, the evapotranspiration optimization is performed according to multiple crop types, multiple crop growth stages and multiple crop growth states, the optimized crop evapotranspiration of multiple crop irrigation sub-areas is calculated, the irrigation water analysis is performed, and the irrigation water amount of multiple sub-areas is calculated, which specifically includes the following steps: Step S1051: Match multiple crop evapotranspiration influence coefficients according to multiple crop types and multiple crop growth stages.

[0061] Step S1052: Match multiple crop state influence coefficients according to multiple crop growth states.

[0062] Step S1053: Optimize the standard crop evapotranspiration according to the plurality of crop evapotranspiration influence coefficients and the plurality of crop state influence coefficients, and calculate the optimized crop evapotranspiration of the plurality of crop irrigation sub-areas.

[0063] Step S1054: Based on the multiple optimized crop evapotranspiration, perform irrigation water analysis to calculate the irrigation water consumption of multiple sub-regions.

[0064] Furthermore, Figure 7 The application architecture diagram of the agricultural irrigation water intelligent computing system provided by an embodiment of the present invention is shown.

[0065] Among them, in another preferred embodiment provided by the present invention, an agricultural irrigation water intelligent computing system includes: The irrigation area division module 101 is used to determine a target irrigation area and a plurality of crop types, and obtain planting record data, and divide the target irrigation area into a plurality of crop irrigation sub-areas according to different crop types.

[0066] In an embodiment of the present invention, the irrigation area division module 101 determines the target irrigation area and multiple crop types, then obtains the planting record data of the target irrigation area, identifies the planting record data, extracts the planting range data corresponding to the multiple crop types from the planting record data, and then divides the target irrigation area into multiple crop irrigation sub-areas based on the multiple planting range data, and the multiple crop irrigation sub-areas correspond to the multiple crop types.

[0067] Specifically, Figure 8 It shows a structural block diagram of the irrigation area division module 101 in the system provided by the embodiment of the present invention.

[0068] Among them, in the preferred embodiment provided by the present invention, the irrigation area division module 101 specifically includes: The area determination unit 1011 is used to determine a target irrigation area and multiple crop types.

[0069] The data acquisition unit 1012 is used to acquire the planting record data.

[0070] The data extraction unit 1013 is used to extract the planting range data of the plurality of crop types from the planting record data.

[0071] The area division unit 1014 is used to divide the target irrigation area into multiple crop irrigation sub-areas according to the multiple planting range data.

[0072] Furthermore, the agricultural irrigation water intelligent computing system also includes: The regional monitoring and shooting module 102 is used to perform periodic monitoring and shooting of the target irrigation area, obtain regional monitoring and shooting data, and record the current cycle period.

[0073] In an embodiment of the present invention, the regional monitoring and shooting module 102 obtains a regional electronic map of the target irrigation area, performs monitoring flight planning according to the terrain of the target irrigation area in the regional electronic map, generates a monitoring and shooting route, and then selects a monitoring drone from multiple standby drones. According to the monitoring and shooting route and the preset monitoring and shooting cycle, the monitoring drone is periodically monitored and controlled to obtain regional monitoring data and record the current cycle period.

[0074] The standard evapotranspiration analysis module 103 is used to perform meteorological monitoring on the target irrigation area, extract the periodic meteorological data of the current cycle period, perform standard evapotranspiration analysis, and calculate the standard crop evapotranspiration.

[0075] In the embodiment of the present invention, the standard evapotranspiration analysis module 103 obtains meteorological monitoring data by continuously monitoring and recording the sunshine, wind speed, humidity, temperature and rainfall in the target irrigation area, and then extracts the period meteorological data of the current cycle period from the meteorological monitoring data, and then performs standard evapotranspiration analysis according to the period meteorological data to calculate the standard crop evapotranspiration. Specifically, the calculation formula of the standard crop evapotranspiration is: ; in, is the standard crop evapotranspiration, is the slope of the saturated steam curve, is the net radiation, is the soil heat flux, is the air humidity constant, is the wind speed, is the average saturated vapor pressure, is the current vapor pressure, is the average temperature.

[0076] The crop growth analysis module 104 is used to determine the crop growth stages of multiple crop types based on the planting record data, and to identify the regional monitoring data to determine the crop growth status of the multiple crop types.

[0077] In an embodiment of the present invention, the crop growth analysis module 104 identifies the planting record data and extracts crop record data of multiple crop types from the planting record data, wherein the multiple crop record data include the planting time and growth cycle of multiple crop types. According to the planting time and growth cycle of the multiple crop types, the crop growth stages of the multiple crop types can be inferred, and by processing the regional monitoring data, sub-region representative images of multiple crop irrigation sub-regions are extracted, and then based on big data technology, standard growth images of multiple crop types in corresponding crop growth stages are selected, and multiple standard growth images are used as references to compare the multiple sub-region representative images to determine the crop growth status of the multiple crop types.

[0078] The irrigation water analysis module 105 is used to optimize evapotranspiration according to multiple crop types, multiple crop growth stages and multiple crop growth states, calculate the optimized crop evapotranspiration of multiple crop irrigation sub-areas, perform irrigation water analysis, and calculate the irrigation water volume of multiple sub-areas.

[0079] In the embodiment of the present invention, the irrigation water analysis module 105 matches multiple crop evapotranspiration influence coefficients according to multiple crop types and multiple crop growth stages, and matches multiple crop state influence coefficients according to multiple crop growth states, and then performs targeted evapotranspiration optimization on multiple crop irrigation sub-areas according to the multiple crop evapotranspiration influence coefficients and the multiple crop state influence coefficients, calculates the optimized crop evapotranspiration of multiple crop irrigation sub-areas, and then performs irrigation water analysis based on the multiple optimized crop evapotranspiration, and calculates the sub-area irrigation water amount of the multiple crop irrigation sub-areas. Specifically, the calculation formulas for the multiple optimized crop evapotranspiration are as follows: ; in, Representative Crop irrigation sub-areas / crop types, For the Optimized crop evapotranspiration for each crop irrigation sub-area, For the Crop type The crop evapotranspiration influence coefficient corresponding to each crop growth stage is: For the Crop status influence coefficient corresponding to each crop type; The calculation formula for the irrigation water consumption of the plurality of sub-areas is: ; in, For the The amount of irrigation water used in each crop irrigation sub-region, For the The sub-region area of ​​the crop irrigation sub-region, For the The precipitation of the crop irrigation sub-area in the current cycle period, For the The groundwater utilization of each crop irrigation sub-area in the current cycle period, is the preset irrigation utilization coefficient.

[0080] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0081] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0082] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. An intelligent calculation method for agricultural irrigation water, characterized in that: The method specifically comprises the following steps: Determine a target irrigation area and multiple crop types, obtain planting record data, and divide the target irrigation area into multiple crop irrigation sub-areas according to different crop types; Perform periodic monitoring and shooting of the target irrigation area, obtain regional monitoring data, and record the current cycle period; Performing meteorological monitoring on the target irrigation area, extracting the meteorological data of the current cycle period, and performing standard evapotranspiration analysis to calculate standard crop evapotranspiration; Determine the crop growth stages of multiple crop types according to the planting record data, and identify the regional surveillance data to determine the crop growth status of the multiple crop types; According to multiple crop types, multiple crop growth stages and multiple crop growth states, evapotranspiration optimization is performed to calculate the optimized crop evapotranspiration of multiple crop irrigation sub-areas, and irrigation water analysis is performed to calculate the irrigation water consumption of multiple sub-areas.

2. The intelligent calculation method for agricultural irrigation water according to claim 1, characterized in that: The step of determining the target irrigation area and multiple crop types, obtaining planting record data, and dividing the target irrigation area into multiple crop irrigation sub-areas according to different crop types specifically includes the following steps: Identify target irrigation areas and multiple crop types; Obtain planting record data; Extracting planting range data of a plurality of the crop types from the planting record data; According to the plurality of planting range data, the target irrigation area is divided into a plurality of crop irrigation sub-areas.

3. The intelligent calculation method for agricultural irrigation water according to claim 1, characterized in that: The periodic monitoring and shooting of the target irrigation area, obtaining the regional monitoring data, and recording the current period specifically include the following steps: Planning a monitoring and shooting route according to the target irrigation area; Choose a surveillance drone; According to the monitoring shooting route and the preset monitoring shooting cycle, the monitoring shooting drone is periodically controlled to obtain regional monitoring shooting data; Record the current cycle period.

4. The intelligent calculation method for agricultural irrigation water according to claim 1, characterized in that: The step of performing meteorological monitoring on the target irrigation area, extracting the meteorological data of the current period, performing standard evapotranspiration analysis, and calculating the standard crop evapotranspiration specifically includes the following steps: Conducting meteorological monitoring on the target irrigation area and recording meteorological monitoring data; Extracting the periodic meteorological data of the current periodic period from the meteorological monitoring data; Based on the meteorological data of the time period, standard evapotranspiration analysis is carried out to calculate the standard crop evapotranspiration.

5. The intelligent calculation method for agricultural irrigation water according to claim 4, characterized in that: The calculation formula of the standard crop evapotranspiration is: ； in, is the standard crop evapotranspiration, is the slope of the saturated steam curve, is the net radiation, is the soil heat flux, is the air humidity constant, is the wind speed, is the average saturated vapor pressure, is the current vapor pressure, is the average temperature.

6. The intelligent calculation method for agricultural irrigation water according to claim 1, characterized in that: Determining the crop growth stages of multiple crop types according to the planting record data, identifying the regional surveillance data, and determining the crop growth states of multiple crop types specifically includes the following steps: Extracting a plurality of crop record data of the crop types from the planting record data; determining a crop growth stage of a plurality of crop types according to the current cycle period and a plurality of the crop record data; Processing the regional surveillance data to extract sub-region representative images of a plurality of the crop irrigation sub-regions; The plurality of sub-region representative images are identified to determine the crop growth status of the plurality of crop types.

7. The intelligent calculation method for agricultural irrigation water according to claim 5, characterized in that: The method of performing evapotranspiration optimization according to multiple crop types, multiple crop growth stages and multiple crop growth states, calculating the optimized crop evapotranspiration of multiple crop irrigation sub-areas, performing irrigation water analysis and calculating the irrigation water amount of multiple sub-areas specifically includes the following steps: Match multiple crop evapotranspiration impact coefficients according to multiple crop types and multiple crop growth stages; According to the growth states of multiple crops, multiple crop state influence coefficients are matched; According to the plurality of crop evapotranspiration influence coefficients and the plurality of crop state influence coefficients, the standard crop evapotranspiration is optimized to calculate the optimized crop evapotranspiration of the plurality of crop irrigation sub-areas; Based on the multiple optimized crop evapotranspiration, irrigation water analysis is performed to calculate the irrigation water amounts of multiple sub-areas.

8. The intelligent calculation method for agricultural irrigation water according to claim 7, characterized in that: The calculation formulas for optimizing the crop evapotranspiration are: ； in, Representative Crop irrigation sub-areas / crop types, For the Optimized crop evapotranspiration for each crop irrigation sub-area, For the Crop type The crop evapotranspiration influence coefficient corresponding to each crop growth stage is: For the Crop status influence coefficient corresponding to each crop type; The calculation formula for the irrigation water consumption of the plurality of sub-areas is: ； in, For the The amount of irrigation water used in each crop irrigation sub-region, For the The sub-region area of ​​the crop irrigation sub-region, For the The precipitation of the crop irrigation sub-area in the current cycle period, For the The groundwater utilization of each crop irrigation sub-area in the current cycle period, is the preset irrigation utilization coefficient.

9. An intelligent computing system for agricultural irrigation water, characterized in that: The system includes an irrigation area division module, a regional monitoring and shooting module, a standard evapotranspiration analysis module, a crop growth analysis module and an irrigation water analysis module, wherein: The irrigation area division module is used to determine the target irrigation area and multiple crop types, and obtain planting record data, and divide the target irrigation area into multiple crop irrigation sub-areas according to different crop types; A regional monitoring and shooting module is used to periodically monitor and shoot the target irrigation area, obtain regional monitoring and shooting data, and record the current cycle period; A standard evapotranspiration analysis module is used to perform meteorological monitoring on the target irrigation area, extract the meteorological data of the current period, perform standard evapotranspiration analysis, and calculate the standard crop evapotranspiration; A crop growth analysis module, for determining the crop growth stages of multiple crop types according to the planting record data, and identifying the regional monitoring data to determine the crop growth status of the multiple crop types; The irrigation water analysis module is used to optimize evapotranspiration according to multiple crop types, multiple crop growth stages and multiple crop growth states, calculate the optimized crop evapotranspiration of multiple crop irrigation sub-areas, perform irrigation water analysis, and calculate the irrigation water volume of multiple sub-areas.

10. The intelligent computing system for agricultural irrigation water according to claim 9, characterized in that: The irrigation area division module specifically includes: an area determination unit for determining target irrigation areas and multiple crop types; A data acquisition unit, used for acquiring planting record data; A data extraction unit, used for extracting planting range data of a plurality of crop types from the planting record data; The area division unit is used to divide the target irrigation area into multiple crop irrigation sub-areas according to the multiple planting range data.

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