Farmland management strategy processing method and device, terminal equipment and medium

Abstract

The invention is suitable for the technical field of farmland management, and provides a farmland management strategy processing method and device, terminal equipment and a medium, and the method comprises the steps: obtaining the current behavior characteristics of insects in a to-be-monitored farmland; analyzing the current behavior characteristics by adopting an insect behavior model obtained by pre-training to obtain ecological environment information of the to-be-monitored farmland; and determining a management strategy of the to-be-monitored farmland according to the ecological environment information, wherein the management strategy is used for managing growth of crops in the to-be-monitored farmland. According to the method, the current behavior characteristics of the insects in the to-be-monitored farmland are analyzed by adopting the insect behavior model obtained through pre-training, the ecological environment information of the to-be-monitored farmland is obtained, the management strategies of the farmland can be enriched, the accurate and effective farmland management strategies are provided, and accurate management of the farmland is realized.

Description

Technical Field

[0001] This application belongs to the technical field of farmland management, and particularly relates to a method, device, terminal device and medium for processing farmland management strategies. Background Art

[0002] With the continuous progress of technologies in the agricultural field, the concept of precision agriculture has been widely applied. For example, at present, technologies such as the Internet of Things, unmanned aerial vehicles, and satellite remote sensing can be used to provide farmers with management strategies for farmland.

[0003] Existing farmland management strategy methods mainly rely on physical sensors, unmanned aerial vehicles, and satellite images for the collection and processing of remote data. By focusing on monitoring the physical environment of farmland, it can help farmers optimize crop management strategies to a certain extent, such as timely irrigation, fertilization, etc., and provide farmers with relevant suggestions on the crop growth environment.

[0004] However, the existing methods for processing farmland management strategies are relatively single and cannot provide effective farmland management strategies, resulting in a lag in the management of farmland. Summary of the Invention

[0005] The embodiments of this application provide a method, device, terminal device and medium for processing farmland management strategies, which can enrich the farmland management strategies, provide accurate and effective farmland management strategies, and achieve precise management of farmland.

[0006] In a first aspect, the embodiments of this application provide a farmland management strategy method, including:

[0007] Obtain the current behavior characteristics of insects in the farmland to be monitored;

[0008] Analyze the current behavior characteristics by using a pre-trained insect behavior model to obtain the ecological environment information of the farmland to be monitored;

[0009] Determine the management strategy for the farmland to be monitored according to the ecological environment information, and the management strategy is used to manage the growth of crops in the farmland to be monitored.

[0010] In some embodiments, before analyzing the current behavior characteristics by using a pre-trained insect behavior model to obtain the ecological environment information of the farmland to be monitored, the method further includes:

[0011] Obtain the historical behavior characteristics of insects in the farmland to be monitored and the historical physical environment data of the farmland to be monitored;

[0012] Based on a deep learning algorithm, perform model training on the historical behavior characteristics and historical physical environment data to obtain an insect behavior model.

[0013] In some embodiments, the current behavior characteristics include at least one of: flight trajectory, activity frequency, and population change.

[0014] In some embodiments, after analyzing the current behavior characteristics using the pre-trained insect behavior model to obtain the ecological environment information of the farmland to be monitored, the method further includes:

[0015] Obtain current physical environment data of the farmland to be monitored;

[0016] The insect behavior model is updated based on the current behavior characteristics and the current physical environment data.

[0017] In some embodiments, the current physical environment data includes at least one of soil moisture, ambient temperature, and light parameters.

[0018] In some embodiments, the current behavior characteristics also include: at least one of population characteristics, ecological chain, and behavior change parameters.

[0019] In some embodiments, the ecological environment information includes at least one of: soil quality, crop growth status, and potential pest and disease hazards.

[0020] In a second aspect, an embodiment of the present application provides a farmland management strategy device, including:

[0021] The first acquisition module is used to acquire the current behavior characteristics of insects in the farmland to be monitored;

[0022] An analysis module is used to analyze the current behavior characteristics using a pre-trained insect behavior model to obtain ecological environment information of the farmland to be monitored;

[0023] The strategy determination module is used to determine the management strategy of the farmland to be monitored based on the ecological environment information, and the management strategy is used to manage the growth of crops in the farmland to be monitored.

[0024] In a third aspect, an embodiment of the present application provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any method of the first aspect when executing the computer program.

[0025] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method of any one of the first aspects is implemented.

[0026] In a fifth aspect, an embodiment of the present application provides a computer program product, which, when executed on a terminal device, enables the terminal device to execute any one of the methods in the first aspect.

[0027] The embodiment of the present application provides a method, device, terminal device and medium for processing farmland management strategy, the method comprising: obtaining the current behavior characteristics of insects in the farmland to be monitored; using a pre-trained insect behavior model to analyze the current behavior characteristics to obtain ecological environment information of the farmland to be monitored; determining the management strategy of the farmland to be monitored based on the ecological environment information, and the management strategy is used to manage the growth of crops in the farmland to be monitored. Utilizing the above technical solution, by using a pre-trained insect behavior model to analyze the current behavior characteristics of insects in the farmland to be monitored, obtaining the ecological environment information of the farmland to be monitored, it is possible to enrich the management strategy of the farmland, provide accurate and effective farmland management strategy, and realize precise management of the farmland. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the technical solutions in the embodiments of the present application, 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 of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0029] Figure 1 This is a flow chart of a farmland management strategy method provided by an embodiment of the present application;

[0030] Figure 2 This is a flow chart of a farmland management strategy method provided by another embodiment of the present application;

[0031] Figure 3 It is a structural block diagram of a farmland management strategy device provided by an embodiment of the present application;

[0032] Figure 4 It is a structural diagram of a terminal device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0033] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0034] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0035] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0036] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0037] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0038] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0039] The farmland management strategy method provided in the embodiment of the present application can be applied to terminal devices such as mobile phones, tablet computers, wearable devices, vehicle-mounted devices, augmented reality (AR) / virtual reality (VR) devices, laptops, ultra-mobile personal computers (UMPC), netbooks, personal digital assistants (PDA), etc. The embodiment of the present application does not impose any restrictions on the specific type of terminal devices.

[0040] It can be considered that the existing farmland management strategy mainly monitors the physical environment of the farmland, such as temperature, humidity, light and soil moisture, and is unable to sensitively perceive changes in the biological environment. The monitoring capabilities of biological activities in the farmland, especially insect behavior, are insufficient, and early signs of pests and diseases cannot be warned. For example, the existing farmland management strategy usually detects pests and diseases through plant physiological changes or surface abnormalities (such as leaf spots). Pest and disease management is relatively lagging and cannot provide effective early warnings.

[0041] At the same time, although physical sensors can provide a wide range of environmental data, the specific data processing process relies too much on physical models and fails to conduct more accurate analysis based on real-time biological feedback (such as insect behavior), making the data results relatively fixed and single.

[0042] Based on this, this embodiment provides a farmland management strategy method, which can provide more detailed and sensitive environmental feedback by monitoring insects in farmland, thereby providing farmers with accurate farmland management strategies and improving the early warning capabilities of pests and diseases.

[0043] Figure 1 It is a flowchart of a farmland management strategy method provided in an embodiment of the present application. As an example but not a limitation, the method can be applied to a terminal device.

[0044] S101. Obtain current behavioral characteristics of insects in the farmland to be monitored.

[0045] The farmland to be monitored can be considered as the farmland for which the farmland management strategy currently needs to be determined. The current behavioral characteristics can refer to the behavioral characteristics of insects in the farmland to be monitored. Among them, insects are an important part of the farmland ecosystem, and their behavioral characteristics are closely related to crop health, environmental conditions, and the occurrence of diseases and pests. Therefore, this embodiment can obtain the current behavioral characteristics of insects in the farmland to be monitored in real time or periodically for subsequent farmland management strategies; the content of the current behavioral characteristics is not limited, such as at least including at least one of the flight trajectory, activity frequency and population changes, and may also include other characteristics related to insect behavior.

[0046] S102: Analyze the current behavior characteristics using the pre-trained insect behavior model to obtain the ecological environment information of the farmland to be monitored.

[0047] S103. Determine a management strategy for the farmland to be monitored based on the ecological environment information, where the management strategy is used to manage the growth of crops in the farmland to be monitored.

[0048] The insect behavior model can be a pre-trained neural network model, which is used to obtain the ecological and environmental information of the farmland to be monitored based on the behavioral characteristics of insects. The insect behavior model can be an intelligent AI model trained through long-term data accumulation. Furthermore, the insect behavior model can be understood as an automatically constructed AI model suitable for the local ecosystem; the ecological and environmental information can be information related to the ecological environment of the farmland to be monitored, such as the ecological and environmental information can at least include: soil quality, crop growth status and potential pests and diseases, at least one of the following, and can also include other information according to actual needs.

[0049] This embodiment can use a pre-trained insect behavior model to analyze the current behavior characteristics to obtain the ecological environment information of the farmland to be monitored. For example, by inputting the acquired current behavior characteristics into the insect behavior model, the ecological environment information of the farmland to be monitored can be output, so that the management strategy for the farmland to be monitored can be determined. The management strategy can be considered as personalized ecological suggestions provided for the farmland to be monitored, which is used to manage the growth of crops in the farmland to be monitored.

[0050] The present embodiment provides a farmland management strategy method, which obtains the current behavior characteristics of insects in the farmland to be monitored; uses a pre-trained insect behavior model to analyze the current behavior characteristics to obtain the ecological environment information of the farmland to be monitored; and determines the management strategy of the farmland to be monitored based on the ecological environment information, and the management strategy is used to manage the growth of crops in the farmland to be monitored. Using this method, by using a pre-trained insect behavior model to analyze the current behavior characteristics of insects in the farmland to be monitored, the ecological environment information of the farmland to be monitored is obtained, which can enrich the management strategy of the farmland, provide accurate and effective farmland management strategy, and realize precise management of the farmland.

[0051] In some embodiments, after analyzing the current behavior characteristics using the pre-trained insect behavior model to obtain the ecological environment information of the farmland to be monitored, the method further includes:

[0052] Obtain current physical environment data of the farmland to be monitored;

[0053] The insect behavior model is updated based on the current behavior characteristics and the current physical environment data.

[0054] The current physical environment data may refer to the physical environment data of the farmland to be monitored currently, such as physical parameters such as soil moisture, ambient temperature and light parameters.

[0055] In a specific implementation, this embodiment can continuously improve the accuracy of the insect behavior model over time, such as storing the current physical environment data obtained each time to update the insect behavior model. The specific process of updating the insect behavior model can be combined with the current physical environment data of the farmland to be monitored, so that the insect behavior model can be updated based on the current behavior characteristics and the current physical environment data. On this basis, as the data accumulates, the system can continuously optimize the model, improve the sensitivity to different environmental changes, and provide personalized ecological feedback for the farmland.

[0056] In some embodiments, the current behavior characteristics also include: at least one of population characteristics, ecological chain, and behavior change parameters.

[0057] In a specific implementation, this embodiment can also automatically generate and update an ecological growth model (i.e., an insect behavior model) suitable for the local area based on the population characteristics, ecological chain, and seasonal behavior changes of local insects, so that farmland management plans can be adjusted in a timely manner according to changes in insect behavior, such as precise irrigation time, fertilization frequency, and strategies for preventing and controlling pests and diseases.

[0058] Figure 2 This is a flow chart of a farmland management strategy method provided by another embodiment of the present application. This embodiment further optimizes the situation before using the pre-trained insect behavior model to analyze the current behavior characteristics and obtain the ecological environment information of the farmland to be monitored as follows: obtaining the historical behavior characteristics of insects in the farmland to be monitored and the historical physical environment data of the farmland to be monitored; training the historical behavior characteristics and historical physical environment data based on the deep learning algorithm to obtain the insect behavior model. Figure 2 As shown, the method includes:

[0059] S201. Obtain current behavioral characteristics of insects in the farmland to be monitored.

[0060] S202: Obtain historical behavioral characteristics of insects in the farmland to be monitored and historical physical environment data of the farmland to be monitored.

[0061] S203. Perform model training on historical behavior characteristics and historical physical environment data based on a deep learning algorithm to obtain an insect behavior model.

[0062] The process of pre-training the insect behavior model can be based on the stored historical behavior characteristics and historical physical environment data of the insect, wherein the historical behavior characteristics and historical physical environment data are the behavior characteristics and physical environment data of the insect stored before the current behavior characteristics are obtained.

[0063] Specifically, this embodiment can use data accumulation and deep learning algorithms to perform model training on historical behavioral characteristics and historical physical environment data, and obtain the insect behavior model corresponding to the farmland to be monitored, thereby establishing a more intelligent and personalized agricultural ecological management system.

[0064] S204: Analyze the current behavior characteristics using the pre-trained insect behavior model to obtain the ecological environment information of the farmland to be monitored.

[0065] S205. Determine a management strategy for the farmland to be monitored based on the ecological environment information, where the management strategy is used to manage the growth of crops in the farmland to be monitored.

[0066] A farmland management strategy method provided in this embodiment can obtain an insect behavior model suitable for the farmland to be monitored by training a model of historical behavior characteristics and historical physical environment data based on a deep learning algorithm, thereby providing an intelligent model basis for the subsequent determination of management strategies and further ensuring the precise management of the farmland.

[0067] From the above description, it can be found that the farmland management strategy method provided in this embodiment not only utilizes the sensitivity and ecological adaptability of insect behavior, but also analyzes the ecological environment and health status of farmland by real-time monitoring of daily behavioral characteristics such as insect species, flight trajectories and activity frequencies. It can also use artificial intelligence (AI) and machine learning technology to analyze the relationship between insect behavior and farmland ecological environment through long-term data accumulation and deep learning algorithms, train to obtain a more intelligent AI model, and automatically construct an insect behavior model suitable for the local ecosystem, so as to infer soil quality, crop health and potential pests and diseases, provide more accurate environmental feedback and farmland management plans, and obtain early warning information before pests and diseases break out, thereby improving the early warning capabilities of pests and diseases.

[0068] Compared with traditional farmland management strategies and methods, this embodiment can detect potential pest and disease problems earlier. For example, abnormal changes in insect behavior (such as a sudden drop in activity frequency or rapid growth of a specific population) are often early signals of deterioration of the crop growth environment or outbreaks of pests and diseases. By analyzing daily behavioral anomalies through AI, farmers can take measures in advance by generating early warning information.

[0069] In addition, through continuous learning and optimization of AI, this embodiment provides personalized farmland management suggestions for different crops and different regions based not only on insect behavior, but also on climate, soil data and the characteristics of crop growth stages, enabling farmers to manage farmland more scientifically and accurately, and improve crop yield and quality.

[0070] Corresponding to the farmland management strategy method of the above embodiment, Figure 3This is a structural block diagram of a farmland management strategy device provided in one embodiment of the present application. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0071] Reference Figure 3 , the device comprises:

[0072] The first acquisition module 301 is used to acquire current behavior characteristics of insects in the farmland to be monitored;

[0073] An analysis module 302 is used to analyze the current behavior characteristics using a pre-trained insect behavior model to obtain ecological environment information of the farmland to be monitored;

[0074] The strategy determination module 303 is used to determine the management strategy of the farmland to be monitored according to the ecological environment information, and the management strategy is used to manage the growth of crops in the farmland to be monitored.

[0075] The present embodiment provides a farmland management strategy device, which acquires the current behavior characteristics of insects in the farmland to be monitored through a first acquisition module; uses a pre-trained insect behavior model to analyze the current behavior characteristics through an analysis module to obtain ecological environment information of the farmland to be monitored; and uses a strategy determination module to determine the management strategy of the farmland to be monitored based on the ecological environment information, and the management strategy is used to manage the growth of crops in the farmland to be monitored. By using this device, by using a pre-trained insect behavior model to analyze the current behavior characteristics of insects in the farmland to be monitored, the ecological environment information of the farmland to be monitored is obtained, which can enrich the management strategy of the farmland, provide accurate and effective farmland management strategy, and realize precise management of the farmland.

[0076] Optionally, a farmland management strategy device provided in this embodiment further includes:

[0077] The second acquisition module is used to acquire the historical behavior characteristics of insects in the farmland to be monitored and the historical physical environment data of the farmland to be monitored before analyzing the current behavior characteristics using the pre-trained insect behavior model to obtain the ecological environment information of the farmland to be monitored;

[0078] The model training module is used to perform model training on historical behavior characteristics and historical physical environment data based on a deep learning algorithm to obtain an insect behavior model.

[0079] Optionally, the current behavior characteristics include at least one of: flight trajectory, activity frequency and population change.

[0080] Optionally, a farmland management strategy device provided in this embodiment further includes:

[0081] The third acquisition module is used to acquire the current physical environment data of the farmland to be monitored after analyzing the current behavior characteristics using the pre-trained insect behavior model to obtain the ecological environment information of the farmland to be monitored;

[0082] The updating module is used to update the insect behavior model based on the current behavior characteristics and the current physical environment data.

[0083] Optionally, the current physical environment data includes at least one of soil moisture, ambient temperature and light parameters.

[0084] Optionally, the current behavior characteristics also include: at least one of population characteristics, ecological chain and behavior change parameters.

[0085] Optionally, the ecological environment information includes at least one of: soil quality, crop growth status and potential pest and disease hazards.

[0086] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0087] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0088] The present application also provides a terminal device, Figure 4 is a schematic diagram of the structure of a terminal device provided by an embodiment of the present application, such as Figure 4 As shown, the terminal device includes: at least one processor 401, a memory 402, an input device 403, an output device 404, and a computer program stored in the memory 402 and executable on at least one processor 401. When the processor 401 executes the computer program, the steps in any of the above-mentioned method embodiments are implemented.

[0089] The input device 403 may be used to receive input digital or character information and generate key signal input related to user settings and function control of the terminal device. The output device 404 may include a display device such as a display screen.

[0090] The embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by the processor 401, the steps in the above-mentioned method embodiments can be implemented.

[0091] An embodiment of the present application provides a computer program product. When the computer program product runs on a terminal device, the terminal device can implement the steps in the above-mentioned method embodiments when executing the computer program product.

[0092] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor 401, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device that can carry the computer program code to the device / terminal device, a recording medium, a computer memory, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), an electric carrier signal, a telecommunication signal, and a software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0093] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0094] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0095] In the embodiments provided in the present application, it should be understood that the disclosed devices / terminal equipment and methods can be implemented in other ways. For example, the device / terminal equipment embodiments described above are only schematic, for example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0096] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0097] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. A method for processing farmland management strategy, characterized in that: include: Obtain the current behavioral characteristics of insects in the farmland to be monitored; Using a pre-trained insect behavior model to analyze the current behavior characteristics, and obtain the ecological environment information of the farmland to be monitored; A management strategy for the farmland to be monitored is determined according to the ecological environment information, and the management strategy is used to manage the growth of crops in the farmland to be monitored.

2. The method for processing farmland management strategy according to claim 1, characterized in that: Before analyzing the current behavior characteristics using the pre-trained insect behavior model to obtain the ecological environment information of the farmland to be monitored, the method further includes: Acquiring historical behavioral characteristics of insects in the farmland to be monitored and historical physical environment data of the farmland to be monitored; The historical behavior characteristics and the historical physical environment data are trained based on a deep learning algorithm to obtain the insect behavior model.

3. The method for processing farmland management strategy according to claim 1, characterized in that: The current behavior characteristics include at least one of: flight trajectory, activity frequency and population change.

4. The method for processing farmland management strategy according to claim 3, characterized in that: After analyzing the current behavior characteristics using the pre-trained insect behavior model to obtain the ecological environment information of the farmland to be monitored, the method further includes: Acquiring current physical environment data of the farmland to be monitored; The insect behavior model is updated based on the current behavior characteristics and the current physical environment data.

5. The method for processing farmland management strategy according to claim 4, characterized in that: The current physical environment data includes at least one of soil moisture, ambient temperature and light parameters.

6. The method for processing farmland management strategy according to claim 3, characterized in that: The current behavior characteristics also include: at least one of population characteristics, ecological chain and behavior change parameters.

7. The method for processing farmland management strategy according to any one of claims 1 to 6, characterized in that: The ecological environment information includes at least one of soil quality, crop growth status and potential pest and disease hazards.

8. A device for processing farmland management strategies, characterized in that: include: The first acquisition module is used to acquire the current behavior characteristics of insects in the farmland to be monitored; An analysis module, used to analyze the current behavior characteristics using a pre-trained insect behavior model to obtain ecological environment information of the farmland to be monitored; A strategy determination module is used to determine the management strategy of the farmland to be monitored according to the ecological environment information, and the management strategy is used to manage the growth of crops in the farmland to be monitored.

9. A terminal device comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the terminal device implements the method according to any one of claims 1 to 7.

10. A computer program product, characterized in that The invention comprises a computer program, which, when executed by a processor, enables the method according to any one of claims 1 to 7 to be performed.

Images