Crop growth mechanism simulation system, method and equipment and storage medium

Abstract

The invention provides a crop growth mechanism simulation system, method and device and a storage medium, and the system comprises a meteorological module which is used for setting meteorological parameters acting on a soil module and a crop module; the management module is used for setting soil management parameters acting on the soil module and crop management parameters acting on the crop module; the soil module is used for setting a water nutrient value of soil, receiving the meteorological parameters and the soil management parameters, jointly using the meteorological parameters and the soil management parameters as soil environment parameters influencing crop growth, and simulating soil evolution based on the soil environment parameters; and the crop module is used for receiving the meteorological parameters, the crop management parameters and the soil environment parameters, calculating required stress indexes to jointly serve as crop setting parameters, simulating crop generation by using a growth mechanism model including temperature stress, and generating interactive variables in the simulation process and transmitting the interactive variables to the soil module. The influence of a temperature mechanism on a crop growth mechanism is considered.

Description

Technical Field

[0001] The present invention relates to the technical field of growth simulation, and in particular to a crop growth mechanism simulation system, method, device and storage medium. Background Art

[0002] As the core technology for the development of smart agriculture, the crop growth model can simulate and predict the entire process of crop growth by integrating multidisciplinary data and algorithms such as meteorology, soil, and plant physiology, thereby providing a highly scientific basis for agricultural management decisions.

[0003] Among the related technologies, my country’s current independent research and development capabilities for certain crop growth models are relatively weak. Due to the lack of promotion efforts and the difficulty of promotion, the currently used mainstream models (such as DSSAT, ORYZA and APSIM) are all from abroad and are only for scientific research use, which greatly limits the implementation and promotion of new smart agricultural technologies.

[0004] Based on the above analysis of the development status of this technical field, the existing technical solutions lack a crop growth mechanism solution with a clear system architecture and complete functions, and a solution that fully considers the impact of temperature stress on growth. Summary of the invention

[0005] The object of the present invention is to provide a crop growth mechanism simulation system, method, device and storage medium, aiming to solve the above-mentioned problems in the prior art.

[0006] According to a first aspect of an embodiment of the present invention, there is provided a crop growth mechanism simulation system, comprising:

[0007] The meteorological module is used to set meteorological parameters acting on the soil module and the crop module respectively;

[0008] A management module, used to set soil management parameters acting on the soil module and crop management parameters acting on the crop module;

[0009] The soil module is used to set the water and nutrient values ​​of the soil, receive meteorological parameters and soil management parameters, and use them together as soil environmental parameters that affect crop growth, and simulate soil evolution based on soil environmental parameters;

[0010] The crop module is used to receive meteorological parameters, crop management parameters and soil environmental parameters, and calculate the required stress index as crop setting parameters. It uses a growth mechanism model including temperature stress to simulate crop production, and generates interactive variables during the simulation process and transmits them to the soil module.

[0011] According to a second aspect of an embodiment of the present invention, a method for simulating a crop growth mechanism is provided, comprising:

[0012] The meteorological parameters acting on the soil module and the crop module are set through the meteorological module;

[0013] The soil management parameters acting on the soil module and the crop management parameters acting on the crop module are set through the management module;

[0014] The soil module sets the water and nutrient values ​​of the soil, receives meteorological parameters and soil management parameters, and uses them together as soil environmental parameters that affect crop growth. The soil evolution is simulated based on the soil environmental parameters.

[0015] Meteorological parameters, crop management parameters and soil environmental parameters are received through the crop module, and the required stress index is calculated as the crop setting parameter. The growth mechanism model including temperature stress is used to simulate crop production. During the simulation, interactive variables are generated and transmitted to the soil module.

[0016] According to a third aspect of an embodiment of the present invention, there is provided an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the steps of the crop growth mechanism simulation method provided in the second aspect of the present invention are implemented.

[0017] According to a fourth aspect of an embodiment of the present invention, there is provided a computer-readable storage medium on which is stored an implementation program for information transmission, which, when executed by a processor, implements the steps of the crop growth mechanism simulation method provided in the second aspect of the present invention.

[0018] The technical solution provided by the embodiment of the present invention includes the following beneficial effects: a crop growth mechanism simulation system with a clear structural hierarchy is set up, and the main first-level modules include a meteorological module, a management module, a soil module and a crop module, which can effectively simplify the process and operation of crop growth mechanism simulation; a growth mechanism model including temperature stress is used in the crop module to simulate crop growth, so as to fully consider the influence of temperature on the crop growth mechanism, including the growth characteristics of northern cold-region rice, so as to adapt to the current domestic agricultural production situation.

[0019] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate one or more embodiments of this specification or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0021] Figure 1 is a schematic diagram of a crop growth mechanism simulation system according to an embodiment of the present invention;

[0022] Figure 2 is a schematic diagram of module association in an embodiment of the present invention;

[0023] Figure 3 is a schematic diagram of system features of an embodiment of the present invention;

[0024] Figure 4 is a flow chart of a method for simulating crop growth mechanism according to an embodiment of the present invention;

[0025] Figure 5 is a schematic diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the technical solutions in one or more embodiments of this specification, the following will be combined with the drawings in one or more embodiments of this specification to clearly and completely describe the technical solutions in one or more embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on one or more embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this document.

[0027] System Example

[0028] According to an embodiment of the present invention, a crop growth mechanism simulation system is provided, which is mainly used for rice growth simulation. Figure 1 Schematic diagram of a crop growth mechanism simulation system according to an embodiment of the present invention. Figure 1 As shown, the crop growth mechanism simulation system according to an embodiment of the present invention specifically includes:

[0029] The meteorological module 10 is used to set meteorological parameters acting on the soil module and the crop module respectively, that is, to set meteorological information such as light, temperature, precipitation, etc. in the crop growth environment as environmental parameters to be input into the simulation system;

[0030] The meteorological module 10 is specifically used for:

[0031] Meteorological parameters including maximum temperature, minimum temperature, sunshine hours, precipitation, relative humidity and wind speed parameters are set; in the embodiment of the present invention, the meteorological parameter index types acting on the soil module and the crop module are consistent, and are all meteorological data;

[0032] The parameters set by the meteorological module 10 are natural factors related to weather and climate, which are natural driving factors in the external environment and have an important impact on the growth of crops.

[0033] Management module 12, used to set soil management parameters acting on the soil module and crop management parameters acting on the crop module

[0034] The management module 12 is specifically used for:

[0035] Set soil management parameters including fertilization time, fertilization amount, irrigation time and irrigation amount;

[0036] Set crop management parameters including sowing date and sowing rate.

[0037] Different from meteorological parameters, decision parameters in the management module are artificially determined factors used to guide crop management decisions and are the strategies selected during the planting process.

[0038] The soil module 14 is used to set the water and nutrient value of the soil, receive meteorological parameters and soil management parameters, which are used together as soil environmental parameters affecting crop growth, and simulate soil evolution based on the soil environmental parameters;

[0039] The soil module 14 is responsible for simulating the physical, chemical and biological properties of the soil, including:

[0040] Soil temperature module, used to simulate soil temperature changes;

[0041] The soil moisture module is used to simulate soil moisture changes, receive root water absorption in the interactive variable, and update soil moisture changes;

[0042] The soil carbon and nitrogen module is used to simulate the carbon and nitrogen cycle in the soil, receive the carbon and nitrogen absorption in the interactive variables, and update the cycle process;

[0043] The interactive variable is the quantity generated by the crop module 16 during the simulation of crop growth. In the actual growth process of crops, the soil conditions will undergo a series of dynamic changes as the crops grow. After the crop roots absorb water, some water will seep into the soil. Similarly, some organic matter will be released back into the soil. The interactive variable needs to quantify the material exchange process between the simulated soil and crops to improve the accuracy of the simulation.

[0044] In the embodiment of the present invention, the mechanism details in the crop growth mechanism simulation system are obtained through scientific verification and precipitation, such as the working modes of the soil temperature module, the soil moisture module and the soil carbon and nitrogen module.

[0045] The crop module 16 is used to receive meteorological parameters, crop management parameters and soil environmental parameters, and calculate the required stress index as crop setting parameters, simulate crop growth using a growth mechanism model including temperature stress, and generate interactive variables during the simulation process and transmit them to the soil module;

[0046] The crop module 16 specifically includes:

[0047] The stress response module is used to obtain parameters for calculating the stress index from meteorological parameters, crop management parameters and soil environmental parameters, and calculate the stress index. In other words, the stress is affected by the other three modules, and the specific method depends on the situation;

[0048] The stress index is used to quantify the various external conditions to which the plant is subjected during its growth, and the influence of the quantitative index on the physiological function and growth and development. The embodiment of the present invention supports multiple types of stress indexes, including conventional fertilizer stress, pest and disease stress, etc., and temperature stress proposed for the first time in the present invention;

[0049] The growth and development module is used to respond to the crop setting parameters including the stress index, use the growth mechanism model to simulate the crop growth process, and output the yield, biomass and leaf area. Other response methods in the crop setting parameters are consistent with the technical means in the field, such as simulating crop growth under simulated soil evolution. In the embodiment of the present invention, the impact of temperature stress is mainly described;

[0050] The absorption module is used to simulate the interaction variables generated during the growth process and transmit the interaction variables to the soil module in real time.

[0051] The stress response module is specifically used to:

[0052] In the temperature stress scenario, based on meteorological parameters, the low temperature stress factor was calculated using Formula 1, and the three-segment straight line method was used to simulate the limiting effect of low temperature stress on yield:

[0053]

[0054] Among them, f frost represents the low temperature stress factor, T begin Indicates the starting lethal temperature, T gel10 Indicates 10% lethal temperature, T gel90 Indicates 90% lethal temperature, T lethal Indicates the complete lethal temperature, T min Indicates the daily minimum temperature;

[0055] Formula 2 was used to calculate the high temperature stress factor. When rice encounters high temperature heat damage during the flowering period, it directly affects the flowering and pollination of rice, especially when the temperature during the flowering period is close to the maximum temperature threshold, which causes damage to the pollen, causing the florets to abort and form a large number of empty shells.

[0056]

[0057] Among them, f heat represents high temperature stress factor, T max Indicates the maximum daily temperature, T tmax,c Indicates the daily maximum temperature threshold, Ttmax,u Indicates the upper limit of the daily maximum temperature, F tmax Indicates the maximum proportion of yield affected by temperature;

[0058] The low temperature stress factor and high temperature stress factor are taken together as the stress index.

[0059] The growth and development module is specifically used for:

[0060] In other stress scenarios, scientifically verified conventional technical means are used for simulation. In the temperature stress scenario, the growth mechanism model is used to simulate the crop growth process, and the yield of the crop under no stress is calculated using formula 3:

[0061]

[0062] Where Y represents the yield under no stress, d e Indicates the number of days from sowing to rice flowering period, d m represents the number of days in the whole reproductive period, T er1 represents the efficiency of transfer of stem sheath storage to grains before anthesis, T er2 represents the efficiency of photosynthetic product transport to grains after flowering, W △,d represents the biomass growth rate on day d;

[0063] In the embodiment of the present invention, the rice yield formation is the result of the dry matter accumulation and allocation to the grains. The yield formation algorithm considers the contribution of photosynthetic production before and after flowering to the yield respectively, and calculates the yield by multiplying the dry matter accumulation before and after flowering by different transfer rates respectively;

[0064] The yield under temperature stress was calculated using Formula 4:

[0065] Y F =Y × f frost × f heat ×D Formula 4;

[0066] Among them, Y F represents the yield under temperature stress, D represents the time difference from flowering stage to grain filling stage, and the yield under temperature stress is used as the output of the yield in the growth and development module.

[0067] In the embodiment of the present invention, the biomass and leaf area under no stress can be calculated using existing mechanisms in the field, and the biomass and leaf area values ​​under temperature stress can be calculated in the same way as the yield.

[0068] The system further comprises:

[0069] Auxiliary tool module 18, used to provide data processing tools and visualization tools;

[0070] The auxiliary tool module 18 is an important first-level module in addition to the meteorological module 10, the management module 12, the soil module 14 and the crop module 16, which can provide additional support to assist the system in simulating the crop growth process more accurately;

[0071] The data processing tool is responsible for collecting, cleaning and integrating data from other modules to ensure that the data format in the system is unified and of high quality; the visualization tool displays the crop growth results to users in a visual way to help customers grasp the growth trends of crops, such as using curve graphs to show the changing trends of crop height, leaf area, biomass, etc. at different growth stages.

[0072] In addition, in addition to the secondary modules under each primary module described in the embodiments, namely soil temperature module, soil moisture module, soil carbon and nitrogen module, stress response module, growth and development module, and absorption module, phenological development, light absorption and net photosynthetic radiation, potential photosynthesis, actual photosynthesis, net photosynthetic product distribution, irrigation and field water management, fertilizer and fertilization management, etc., a total of more than 50 secondary modules are included;

[0073] Preferably, the crop growth mechanism simulation system in the embodiment of the present invention supports task parallel processing, that is, different modules or subtasks are assigned to different processors or computing nodes so that they can be executed in parallel, thereby improving the overall operating efficiency.

[0074] The crop growth mechanism simulation scheme of the embodiment of the present invention is called the BHD-Rice system model.

[0075] The above technical solutions of the embodiments of the present invention are illustrated with reference to the following drawings.

[0076] Figure 2 Schematic diagram of module association in an embodiment of the present invention. Figure 2 As shown, the connection relationship between the various functional modules in the crop growth mechanism simulation system is demonstrated. From the perspective of crop module yield, the meteorological module, management module, and soil module jointly affect crop growth.

[0077] Figure 3 Schematic diagram of system features of an embodiment of the present invention, such as Figure 3 As shown, the five core advantages of the BHD-Rice system model are demonstrated. It is a crop growth mechanism simulation system with complete functions and easy to use.

[0078] To sum up, in response to the existing problems, the crop growth mechanism simulation system of the present invention is set up with a crop growth mechanism simulation system with a clear structure. The main first-level modules include meteorological module, management module, soil module, crop module and auxiliary tool module, which can effectively simplify the process and operation of crop growth mechanism simulation; the second-level modules mainly include soil temperature module, soil moisture module, soil carbon and nitrogen module, stress response module, growth and development module and absorption module, so that the whole system structure is clear and well-organized; in the crop module, a growth mechanism model including temperature stress is used to simulate crop growth, and temperature stress includes low temperature stress and high temperature stress, so as to fully consider the influence of high temperature or low temperature mechanism on crop growth, including the growth characteristics of northern cold-region rice, so as to adapt to the current situation of domestic agricultural production, so that the aspects considered in the mechanism simulation are more comprehensive, and the accuracy of crop growth mechanism simulation is improved.

[0079] Method Embodiment

[0080] According to an embodiment of the present invention, a method for simulating crop growth mechanism is provided. Figure 4 is a flow chart of a method for simulating crop growth mechanism according to an embodiment of the present invention. Figure 4 As shown, the crop growth mechanism simulation method according to an embodiment of the present invention specifically includes:

[0081] In step S410, the meteorological parameters acting on the soil module and the crop module are set by the meteorological module, specifically including:

[0082] Set meteorological parameters including maximum temperature, minimum temperature, sunshine hours, precipitation, relative humidity and wind speed parameters.

[0083] In step S420, the soil management parameters acting on the soil module and the crop management parameters acting on the crop module are set by the management module, specifically including:

[0084] Set soil management parameters including fertilization time, fertilization amount, irrigation time and irrigation amount;

[0085] Set crop management parameters including sowing date and sowing rate.

[0086] In step S430, the water nutrient value of the soil is set through the soil module, and the meteorological parameters and the soil management parameters are received as soil environmental parameters that affect crop growth. The soil evolution is simulated based on the soil environmental parameters, which specifically includes:

[0087] Simulate soil temperature changes through the soil temperature module;

[0088] The soil moisture module is used to simulate soil moisture changes, and the root water absorption in the interactive variable is received to update the soil moisture changes.

[0089] The soil carbon and nitrogen cycle process in the soil is simulated through the soil carbon and nitrogen module, and the carbon and nitrogen absorption amounts in the interactive variables are received to update the cycle process.

[0090] In step S440, by receiving meteorological parameters, crop management parameters and soil environment parameters, and calculating the required stress index as crop setting parameters, crop growth is simulated using a growth mechanism model including temperature stress, and interactive variables are generated and transmitted to the soil module during the simulation process, specifically including:

[0091] The stress response module obtains parameters for calculating the stress index from meteorological parameters, crop management parameters and soil environmental parameters, and calculates the stress index;

[0092] The growth and development module responds to the crop setting parameters including the stress index, uses the growth mechanism model to simulate the crop growth process, and outputs the yield, biomass and leaf area;

[0093] The interaction variables generated during the growth process are simulated through the absorption module and transmitted to the soil module in real time.

[0094] The stress response module is specifically used to:

[0095] In the temperature stress scenario, based on the parameters of meteorological parameters, the low temperature stress factor is calculated using formula 1, and the high temperature stress factor is calculated using formula 2. The low temperature stress factor and the high temperature stress factor are used together as the stress index:

[0096]

[0097] Among them, f frost represents the low temperature stress factor, T begin Indicates the starting lethal temperature, T gel10 Indicates 10% lethal temperature, T gel90 Indicates 90% lethal temperature, T lethal Indicates the complete lethal temperature, T min Indicates the daily minimum temperature;

[0098]

[0099] Among them, f heat represents high temperature stress factor, T max Indicates the maximum daily temperature, T tmax,c represents the daily maximum temperature threshold, T tmax,u Indicates the upper limit of the daily maximum temperature, F tmax Indicates the maximum proportion of yield affected by temperature.

[0100] The growth and development module is specifically used for:

[0101] When using the growth mechanism model to simulate crop growth under temperature stress scenarios, the yield of crops without stress is calculated using Formula 3:

[0102]

[0103] Where Y represents the yield under no stress, d e Indicates the number of days from sowing to rice flowering period, d m represents the number of days in the whole reproductive period, T er1 represents the efficiency of transfer of stem sheath storage to grains before anthesis, T er2 represents the efficiency of photosynthetic product transport to grains after flowering, W △,d represents the biomass growth rate on day d;

[0104] The yield under temperature stress was calculated using Formula 4:

[0105] Y F =Y × f frost × f heat ×D Formula 4;

[0106] Among them, Y F represents the yield under temperature stress, D represents the time difference from flowering stage to grain filling stage, and the yield under temperature stress is used as the output of the yield in the growth and development module.

[0107] The method further comprises:

[0108] In step S450, data processing tools and visualization tools are provided through an auxiliary tool module.

[0109] To sum up, in response to the existing problems, the present invention discloses a method for simulating the growth mechanism of crops. The method corresponds to the system, and a crop growth mechanism simulation system with a clear structure is set. The main primary modules include a meteorological module, a management module, a soil module, a crop module and an auxiliary tool module, which can effectively simplify the process and operation of crop growth mechanism simulation; the secondary modules mainly include a soil temperature module, a soil moisture module, a soil carbon and nitrogen module, a stress response module, a growth and development module and an absorption module, so that the structure of the entire system is clear and the hierarchy is clear; in the crop module, a growth mechanism model including temperature stress is used to simulate crop growth, and temperature stress includes low temperature stress and high temperature stress, so as to fully consider the impact of high temperature or low temperature mechanism on crop growth, including the growth characteristics of northern cold-region rice, so as to adapt to the current situation of domestic agricultural production, so that the aspects considered in the mechanism simulation are more comprehensive, and the accuracy of crop growth mechanism simulation is improved.

[0110] Electronic device embodiment

[0111] Figure 5Schematic diagram of an electronic device according to an embodiment of the present invention. The electronic device 500 may include at least one processor 510 and a memory 520. The processor 510 may execute instructions stored in the memory 520. The processor 510 is connected to the memory 520 through a data bus. In addition to the memory 520, the processor 510 may also be connected to an input device 530, an output device 540, and a communication device 550 through a data bus.

[0112] The processor 510 may be any conventional processor, such as a commercially available CPU. The processor may also include a graphics processor (Graphic Process Unit, GPU), a field programmable gate array (Field Programmable Gate Array, FPGA), a system on chip (System on Chip, SOC), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC) or a combination thereof.

[0113] The memory 520 may be implemented by any type of volatile or nonvolatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0114] In the embodiment of the present invention, executable instructions are stored in the memory 520, and the processor 510 can read the executable instructions from the memory 520 and execute the instructions to implement all or part of the steps of any of the crop growth mechanism simulation methods in the above exemplary embodiments.

[0115] Computer Readable Storage Medium Embodiments

[0116] In addition to the above-mentioned methods and devices, an exemplary embodiment of the present invention may also be a computer program product or a computer-readable storage medium storing the computer program product. The computer product includes computer program instructions, and the computer program instructions can be executed by a processor to implement all or part of the steps described in any of the crop growth mechanism simulation methods in the above-mentioned exemplary embodiments.

[0117] The computer program product may be written in any combination of one or more programming languages ​​to write program code for performing the operations of the embodiments of the present invention, including object-oriented programming languages ​​such as Java, C++, etc., as well as conventional procedural programming languages ​​such as "C" or similar programming languages ​​and scripting languages ​​(e.g., Python). The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0118] Computer readable storage media can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples of readable storage media include: a static random access memory (SRAM) with one or more wires electrically connected, an electrically erasable programmable read-only memory (EEPROM), an erasable programmable read-only memory (EPROM), a programmable read-only memory (PROM), a read-only memory (ROM), a magnetic memory, a flash memory, a magnetic disk or an optical disk, or any suitable combination of the above.

[0119] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A crop growth mechanism simulation system, characterized in that: include: The meteorological module is used to set meteorological parameters acting on the soil module and the crop module respectively; A management module, used to set soil management parameters acting on the soil module and crop management parameters acting on the crop module; A soil module, used to set the water nutrient value of the soil, receive the meteorological parameters and the soil management parameters as soil environmental parameters affecting crop growth, and simulate soil evolution based on the soil environmental parameters; The crop module is used to receive the meteorological parameters, the crop management parameters and the soil environmental parameters, calculate the required stress index as the crop setting parameters, simulate crop production using a growth mechanism model including temperature stress, and generate interactive variables during the simulation process and transmit them to the soil module.

2. The system according to claim 1, characterized in that The meteorological module is specifically used for: Set meteorological parameters including maximum temperature, minimum temperature, sunshine hours, precipitation, relative humidity and wind speed parameters.

3. The system according to claim 1, characterized in that The management module is specifically used for: Set soil management parameters including fertilization time, fertilization amount, irrigation time and irrigation amount; Set crop management parameters including sowing date and sowing rate.

4. The system according to claim 1, characterized in that The soil module specifically comprises: Soil temperature module, used to simulate soil temperature changes; A soil moisture module is used to simulate soil moisture changes, receive the root water absorption in the interactive variable, and update the soil moisture changes; The soil carbon and nitrogen module is used to simulate the cycle process of carbon and nitrogen in the soil, receive the carbon and nitrogen absorption amounts in the interactive variables, and update the cycle process.

5. The system according to claim 1, characterized in that The crop module specifically includes: A stress response module, used to obtain parameters for calculating a stress index from the meteorological parameters, the crop management parameters and the soil environment parameters, and calculate the stress index; A growth and development module, for responding to crop setting parameters including the stress index, using a growth mechanism model to simulate the crop growth process, and outputting yield, biomass and leaf area; The absorption module is used to simulate the interactive variables generated during the growth process and transmit the interactive variables to the soil module in real time.

6. The system according to claim 5, characterized in that The stress response module is specifically used for: In the temperature stress scenario, based on the meteorological parameters, the low temperature stress factor is calculated using Formula 1, and the high temperature stress factor is calculated using Formula 2, and the low temperature stress factor and the high temperature stress factor are used together as the stress index: Among them, f frost represents the low temperature stress factor, T begin Indicates the starting lethal temperature, T gel10 Indicates 10% lethal temperature, T gel90 Indicates 90% lethal temperature, T lethal Indicates the complete lethal temperature, T min Indicates the daily minimum temperature; Among them, f heat represents high temperature stress factor, T max Indicates the maximum daily temperature, T tmax,c Indicates the daily maximum temperature threshold, T tmax,u Indicates the upper limit of the daily maximum temperature, F tmax Indicates the maximum proportion of yield affected by temperature.

7. The system according to claim 6, characterized in that The growth and development module is specifically used for: When using the growth mechanism model to simulate crop growth under temperature stress scenarios, the yield of crops without stress is calculated using Formula 3: Where Y represents the yield under no stress, d e Indicates the number of days from sowing to rice flowering period, d m represents the number of days in the whole reproductive period, T er1 represents the efficiency of transfer of stem sheath storage to grains before anthesis, T er2 represents the efficiency of photosynthetic product transport to grains after flowering, W △,d represents the biomass growth rate on day d; The yield under temperature stress was calculated using Formula 4: Y F =Y × f frost × f heat ×D Formula 4; Among them, Y F represents the yield under temperature stress, D represents the time difference from flowering stage to grain filling stage, and the yield under temperature stress is used as the output of the yield in the growth and development module.

8. A method for simulating crop growth mechanism, characterized in that: The crop growth mechanism simulation system according to any one of claims 1 to 7 comprises: The meteorological parameters acting on the soil module and the crop module are set through the meteorological module; The soil management parameters acting on the soil module and the crop management parameters acting on the crop module are set through the management module; The soil water nutrient value is set through the soil module, and the meteorological parameter and the soil management parameter are received as soil environmental parameters affecting crop growth, and soil evolution is simulated based on the soil environmental parameters; The meteorological parameters, the crop management parameters and the soil environmental parameters are received through the crop module, and the required stress index is calculated as the crop setting parameter. The growth mechanism model including temperature stress is used to simulate crop production. In the simulation process, interactive variables are generated and transmitted to the soil module.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program implements the steps of the crop growth mechanism simulation method as claimed in claim 8 when executed by the processor.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores an information transmission implementation program, and when the program is executed by the processor, the steps of the crop growth mechanism simulation method as described in claim 8 are implemented.

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