A scene-driven characteristic agricultural digital application method, system, device and medium

Abstract

This invention provides a scenario-driven digital application method, system, equipment, and medium for specialty agriculture, comprising the following steps: acquiring scenario requirements of the specialty agricultural industry; identifying features based on scenario requirements to obtain participating entities; forming an integrated scenario task that meets the scenario requirements based on the participating entities; and implementing the integrated scenario task. This scenario-driven digital application method for specialty agriculture ultimately achieves its goal through scenario design, transforming the industry structure from "small, scattered, low-level, and weak" to "cluster development," forming a replicable digital transformation solution for specialty agriculture, and promoting the upgrading of "small specialties" to "large industries." Furthermore, it applies AI technology to construct a set of intelligent recommendation technologies for digital services that can adapt to different regions, different industry types, and different entity needs, breaking through key technical bottlenecks in cross-scenario requirements and forming an intelligent, precise, and replicable digital service model covering production, management, circulation, and service links.

Description

Technical Field

[0001] This invention relates to the field of smart agriculture technology, and in particular to a scenario-driven method, system, equipment, and medium for digital agricultural applications. Background Technology

[0002] Traditional digital agricultural solutions are mostly based on a linear collaboration model, where a single innovation entity (such as a core enterprise or platform service provider) provides targeted services to a relatively fixed user group (such as specific growers). This model has significant technical limitations: on the one hand, its architecture is closed and its interfaces are fixed, making it difficult to be compatible with and respond to the differentiated and dynamic needs of other innovation entities in the industry ecosystem (such as breeding institutions, socialized service providers, and financial institutions); on the other hand, this model lacks a systematic identification and collaborative resolution mechanism for common industry problems, resulting in data, technology, capital, and other innovative elements being isolated and poorly coupled within the industry chain, making it difficult to form comprehensive service capabilities for complex scenarios.

[0003] Existing solutions remain at the level of single-point application or linear service, lacking a collaborative construction and dynamic optimization mechanism for industrial digital scenarios, innovation consortia and new infrastructure, making it difficult to support the scenario-based innovation needs of the entire chain, multiple entities and dynamic evolution of characteristic agricultural industries.

[0004] Therefore, how to achieve the multi-chain integration of policies, funds, talents, and industries in characteristic agricultural industries is a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] To address the aforementioned technical challenges, the present invention aims to provide a scenario-driven digital application method, system, equipment, and medium for specialty agriculture. Through scenario design, it ultimately transforms the industry structure from "small, scattered, low-level, and weak" to "cluster development," forming a replicable digital transformation solution for specialty agriculture and promoting the upgrading of "small specialties" to "large industries." Furthermore, it applies AI technology to construct a set of intelligent recommendation technologies for digital services that can be adapted to different regions, industry types, and the needs of different stakeholders, breaking through key technical bottlenecks in cross-scenario requirements and forming an intelligent, precise, and replicable digital service model covering production, management, circulation, and service links.

[0006] The first objective of this invention is to provide a scenario-driven method for digital applications in agriculture. The technical solution provided by this invention is as follows: A scenario-driven approach to digital agriculture includes the following steps: To understand the specific needs and scenarios of the distinctive agricultural industry; Feature identification is performed based on the scenario requirements to identify the participating entities; Based on the participating entities, an integrated scenario task is formed to meet the scenario requirements; The integrated scenario tasks are then implemented and applied.

[0007] Preferably, the scenario requirements for acquiring characteristic agricultural industries specifically include: A systematic survey of the distinctive agricultural industries was conducted to obtain the scenario requirements of these industries.

[0008] Preferably, the step of performing feature recognition based on the scenario requirements to obtain the participating entities specifically includes: Feature identification is performed based on the requirements of the scenario to obtain diverse, collaborative, evolutionary, and integrated features as participating entities.

[0009] Preferably, the step of forming an integrated scenario task that meets the scenario requirements based on the participating entities specifically includes: Define the scenario positioning of the participating entities, and form an integrated scenario task that meets the scenario requirements based on the scenario positioning and preset technologies.

[0010] Preferably, the step of implementing the integrated scenario task specifically includes: The integrated scenario tasks are combined with industrialization types for practical application.

[0011] Preferably, after implementing the integrated scenario task, the method further includes: The integrated scenario tasks after application are optimized.

[0012] Preferably, optimizing the integrated scenario task after application specifically includes: By developing domain knowledge ontology and building knowledge graph prototypes, we can review the application scenarios. Multidimensional feature extraction and structured representation are performed on the participating entities in the aforementioned application scenario to construct scenario features; Based on the described scenario characteristics, obtain the application scenario requirements; Intelligent recommendation service mode is achieved by combining a multi-agent collaborative filtering model framework with application scenario requirements; The application of AI-recommended scenarios combined with the aforementioned service model will be carried out in practice.

[0013] The second objective of this invention is to provide a scenario-driven, distinctive agricultural digital application system; The technical solution provided by this invention is as follows: A scenario-driven digital agricultural application system includes: an acquisition module, an identification module, a task generation module, and an application module; The acquisition module is used to acquire the scenario requirements of the characteristic agricultural industry; The identification module is used to perform feature identification according to the scenario requirements in order to obtain the participating entities; The task generation module is used to generate an integrated scenario task that meets the scenario requirements based on the participating entities; The application module is used to implement the application based on the integrated scenario task.

[0014] The third objective of this invention is to provide an electronic device; The technical solution provided by this invention is as follows: An electronic device, comprising: At least one processor; and A memory communicatively connected to the at least one processor, the memory storing a computer program executable by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the method steps of any one of the scenario-driven characteristic agricultural digital application methods.

[0015] A fourth objective of this invention is to provide a computer-readable storage medium; The technical solution provided by this invention is as follows: A computer-readable storage medium for storing a computer program for causing a computer to perform the steps of any one of the methods in a scenario-driven, characteristic agricultural digital application method.

[0016] Compared with existing technologies, this invention provides a scenario-driven digital application method for specialty agriculture, comprising the following steps: acquiring the scenario requirements of the specialty agricultural industry; performing feature identification based on the scenario requirements to acquire participating entities; forming an integrated scenario task that meets the scenario requirements based on the participating entities; and implementing the integrated scenario task. This scenario-driven digital application method for specialty agriculture ultimately achieves its goal through scenario design, transforming the industry structure from "small, scattered, low-level, and weak" to "cluster development," forming a replicable digital transformation solution for specialty agriculture, and promoting the upgrading of "small specialties" to "large industries." Furthermore, it applies AI technology to construct a set of intelligent recommendation technologies for digital services that can adapt to different regions, different industry types, and different entity needs, breaking through key technical bottlenecks in cross-scenario requirements and forming an intelligent, precise, and replicable digital service model covering production, management, circulation, and service links.

[0017] The present invention also provides a scenario-driven digital application system for characteristic agriculture. Since this system and the scenario-driven digital application method for characteristic agriculture solve the same technical problems and belong to the same technical concept, they should have the same beneficial effects, and will not be described in detail here. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 A flowchart illustrating a scenario-driven digital application method for distinctive agriculture provided in this application embodiment; Figure 2 A flowchart illustrating another scenario-driven approach to digital agriculture provided in this application. Figure 3 A schematic diagram of the framework of a rice-fish farming case provided in the embodiments of this application; Figure 4 A full business process diagram of the rice-fish farming model provided in this application embodiment; Figure 5 A schematic diagram of the structure of a scenario-driven digital application system for distinctive agriculture provided in this application embodiment; Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0020] To enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0021] like Figures 1 to 2 As shown, this embodiment of the invention provides a scenario-driven method for digital application of distinctive agriculture, including the following steps: S1. Obtain the scenario requirements for distinctive agricultural industries; S2. Perform feature recognition based on the scenario requirements to obtain the participating entities; S3. Based on the participating entities, form an integrated scenario task that meets the scenario requirements; S4. Implement the integrated scenario task.

[0022] Steps S1 to S4 involve comprehensive research and in-depth understanding of the specific scenario needs faced by the specialty agricultural industry in its actual operation and development, identifying its core pain points and key objectives. Based on these identified scenario needs, a systematic feature identification and analysis is conducted to accurately define and acquire all relevant stakeholders, including farmers, enterprises, and relevant departments. Subsequently, based on the identified stakeholders, resources and capabilities from all parties are coordinated to construct a comprehensive and integrated scenario task system that fully meets the scenario needs. Finally, a detailed implementation plan is developed around this integrated scenario task system to promote its practical implementation and application in specific agricultural scenarios, ensuring effective task execution and achieving the expected results.

[0023] Compared with existing technologies, this invention achieves the transformation of the industrial structure from "small, scattered, weak, and inefficient" to "clustered development" through scenario design, forming a replicable digital transformation solution for distinctive agriculture and promoting the upgrading of "small specialties" to "large industries." Furthermore, it applies AI technology to build a set of intelligent recommendation technologies for digital services that can be adapted to different regions, different industry types, and different subject needs, breaking through the key technical bottlenecks of cross-scenario needs and forming an intelligent, precise, and replicable digital service model covering production, management, circulation, and service links.

[0024] Preferably, the scenario requirements for acquiring characteristic agricultural industries specifically include: A systematic survey of the distinctive agricultural industries was conducted to obtain the scenario requirements of these industries.

[0025] In practical application, scenario demand research involves conducting a systematic survey of the characteristic agricultural industry after clarifying the target subject, including the survey of the subject and the survey of industrial development, identifying its pain points and difficulties, and at the same time exploring its needs, laying the foundation for subsequent scenario optimization and iteration. Taking the rice-fish industry as an example, such as Figure 3As shown, the technical challenges include: 1) a lack of miniaturized intelligent equipment; 2) difficulties in quality control of specialty agricultural products; 3) difficulties in data integration within the specialty agricultural industry; 4) fragmentation of the specialty agricultural industry; and 5) insufficient integration of industry needs with key technologies, including inadequate horizontal and vertical integration, and a lack of replicable, scalable, and verifiable digital service models and comprehensive evaluation methods. Regarding the stakeholders: farmers face limited affordability, lack of simplified equipment, difficulty obtaining loans, and difficulty in accurately accessing policy information; relevant departments suffer from regulatory "information silos," lack of technology, difficulty finding experts, lack of industry revitalization tools, difficulty in supervision, and multiple sources of investment; production service providers lack stable customers; technology service providers lack stable customers, have scattered customers, high costs, and difficulty in technology transfer; financial service providers lack business growth points and face difficulties in loan recovery; agricultural product distributors lack reliable supply channels; and consumers lack trustworthy agricultural products.

[0026] Preferably, the step of performing feature recognition based on the scenario requirements to obtain the participating entities specifically includes: Feature identification is performed based on the requirements of the scenario to obtain diverse, collaborative, evolutionary, and integrated features as participating entities.

[0027] In practical application, scenario feature identification, based on in-depth research into the needs of the target entities and the entire industrial chain of characteristic industries, clarifies the diversity, synergy, evolution, and integration characteristics of the application scenario, defining the positioning of each participating entity within the scenario. The core focus is on "what can be done" and "how to do it." All participating entities reach a consensus, driving management innovation within the target entity. In the implementation of this example, relevant departments play a crucial role in the development of rice-fish farming, such as... Figure 4 As shown, relevant departments play a leading role in the entire rice-fish industry chain, directly providing or organizing the provision of various services, such as varieties, agricultural inputs, and sales. In this model, relevant departments are not only policymakers and implementers, but also the main providers of services; enterprises are the key players in the development of the rice-fish industry.

[0028] Preferably, the step of forming an integrated scenario task that meets the scenario requirements based on the participating entities specifically includes: Define the scenario positioning of the participating entities, and form an integrated scenario task that meets the scenario requirements based on the scenario positioning and preset technologies.

[0029] In practical application, scenario task customization involves transforming macro narratives into action guidelines after initially clarifying the direction of scenario application. Through modular design, it uses single-point technological innovations such as the Internet of Things, blockchain, traceability and quality monitoring, and expected income rights mortgage as means to connect the policies, finance, organization, and talent of the characteristic agricultural industry, forming an integrated scenario application solution that meets the needs of the scenario.

[0030] In this embodiment, digitalized large-scale operations create brands—agriculture achieves standardized planting. First, it innovates the way agricultural production is organized. Farmers voluntarily join the platform, consolidating scattered land into digitalized, appropriately scaled operations, connecting small farmers with modern agriculture, and turning "small varieties" into "large industries".

[0031] Second, it integrates information from the entire industry chain. It gathers data and information on land, production, management, transactions, finance and insurance, and policies to support precise production management and services.

[0032] Third, we will promote the "six unifications" of agricultural production services. By leveraging the advantages of the platform, we will promote the unification of varieties, seedling cultivation, transplanting, management, harvesting, and purchasing, so as to better organize, serve, and drive small farmers.

[0033] In this example, farmers "don't spend money" to cultivate the land—building a comprehensive financial service system across the entire industry chain. First, it enables the use of agricultural product expected returns as collateral. The platform's closed-loop management allows banks to monitor agricultural production and sales in real time, ensuring that mortgage loans secured by expected returns are effectively implemented.

[0034] Secondly, it addresses concerns about bank loans. Banks extend credit to farmers, with loans directly paid to service providers, ensuring that all working capital for production is covered by the bank. Simultaneously, banks lend to agricultural product buyers, who use these loans to pay for their purchases, thus achieving an internal circulation of bank loans.

[0035] Third, it ensures the safety of loan usage. By utilizing the constructed data model, agricultural production is dynamically monitored and early warnings are issued, and the compliance and rationality of platform data are monitored in real time, providing decision support for banks (guarantors, insurance companies).

[0036] Preferably, the step of implementing the integrated scenario task specifically includes: The integrated scenario tasks are combined with industrialization types for practical application.

[0037] In practical application, the focus is on industrialization, transforming scenario design into concrete applications. This process requires careful attention to data collection, problem recording, and business model summarization. Specifically: In the pre-production stage, relevant departments provide suggestions on market research and variety selection. Agricultural enterprises and farmers select varieties and purchase inputs based on the suggestions of relevant departments.

[0038] In the production process, relevant departments subsidize specific socialized service enterprises, such as soil testing, agricultural machinery leasing, and harvesting. Relevant departments have contacted experts from professional research institutes to provide field guidance and organize farmer training. They have also introduced qualified third-party suppliers to provide personalized services such as multi-stage or full-process management. Furthermore, relevant departments have implemented measures such as agricultural input supervision and branding projects, and introduced technological means to ensure quality and food safety. They have also assisted agricultural enterprises and farmers in establishing marketing and distribution channels through multiple channels, and have connected with relevant enterprises through support policies to help sell agricultural products.

[0039] Preferably, after implementing the integrated scenario task, the method further includes: The integrated scenario tasks after application are optimized.

[0040] In practical application, scenario customization and optimization: Based on the practice of the scenario, the scenario application is reviewed, the scenario application is continuously optimized, and the model is promoted to other characteristic industries based on AI. In this embodiment, a unified embedding space is constructed based on knowledge graphs and subject profiles; an agent role library is built for different industry subjects, and a candidate recommendation set is generated using cross-subject collaboration matrix and interest linkage model; the candidate recommendation results are subjected to compliance filtering, industry logic verification and semantic enhancement interpretation, and finally an interpretable recommendation that conforms to industry rules is output.

[0041] Preferably, optimizing the integrated scenario task after application specifically includes: By developing domain knowledge ontology and building knowledge graph prototypes, we can review the application scenarios. Multidimensional feature extraction and structured representation are performed on the participating entities in the aforementioned application scenario to construct scenario features; Based on the described scenario characteristics, obtain the application scenario requirements; Intelligent recommendation service mode is achieved by combining a multi-agent collaborative filtering model framework with application scenario requirements; The application of AI-recommended scenarios combined with the aforementioned service model will be carried out in practice.

[0042] In practical application, based on the practice of the scenario, we collect application data to develop domain knowledge ontology, build knowledge graph prototypes, and review the application of the scenario. We extract multi-dimensional features and structure them to represent the main subjects such as small farmers and regions participating in the application scenario, and construct scenario features. Users describe their application scenario needs based on the scenario features. We apply intelligent recommendation service mode through a multi-agent collaborative filtering model framework. Finally, we implement the application based on AI recommendation scenarios.

[0043] like Figure 5As shown, this embodiment of the invention provides a scenario-driven digital application system for distinctive agriculture, including: an acquisition module, an identification module, a task formation module, and an application module; The acquisition module is used to acquire the scenario requirements of the characteristic agricultural industry; The identification module is used to perform feature identification according to the scenario requirements in order to obtain the participating entities; The task generation module is used to generate an integrated scenario task that meets the scenario requirements based on the participating entities; The application module is used to implement the application based on the integrated scenario task.

[0044] In practical application, the scenario-driven digital application system for specialty agriculture includes an acquisition module, an identification module, a task formation module, and an application module. The identification module is connected to both the acquisition and task formation modules; the task formation module is connected to the application module. The acquisition module acquires the scenario requirements of the specialty agricultural industry and transmits these requirements to the identification module. The identification module performs feature recognition based on the scenario requirements to identify the participating entities and then transmits these entities to the task formation module. The task formation module generates an integrated scenario task that meets the scenario requirements based on the participating entities and then transmits this integrated scenario task to the application module. The system comprises modules for application and implementation based on integrated scenario tasks. Through acquisition, identification, task formation, and application modules, the system constructs scenario designs, ultimately transforming the industry from a "small, scattered, low-level, and weak" model to a "clustered development" model. This results in a replicable digital transformation solution for specialty agriculture, promoting the upgrading of "small specialties" to "large industries." Furthermore, AI technology is applied to build a set of intelligent recommendation technologies for digital services that can adapt to different regions, industry types, and the needs of different stakeholders. This breaks through key technological bottlenecks in cross-scenario requirements, forming an intelligent, precise, and replicable digital service model covering production, management, circulation, and service processes.

[0045] Furthermore, embodiments of this application also disclose an electronic device, Figure 6 This is a structural diagram of an electronic device according to an exemplary embodiment. The content of the diagram should not be construed as limiting the scope of this application.

[0046] Figure 6This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device 20 specifically includes: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 stores a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the scenario-driven digital application method for characteristic agriculture disclosed in any of the foregoing embodiments. Furthermore, the electronic device 20 in this embodiment can specifically be an electronic computer.

[0047] In this embodiment, the power supply 23 is used to provide operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a scenario-driven characteristic agricultural digital application channel between the electronic device 20 and external devices, and the communication protocol it follows can be any communication protocol applicable to the technical solution of this application, and is not specifically limited here; the input / output interface 25 is used to acquire external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs, and is not specifically limited here.

[0048] In addition, the memory 22, as a carrier for resource storage, can be a read-only memory, random access memory, disk or optical disk, etc. The resources stored thereon can include operating system 221, computer program 222 and data 223, etc., and the storage method can be temporary storage or permanent storage.

[0049] The operating system 221 manages and controls the various hardware devices on the electronic device 20 and the computer program 222 to enable the processor 21 to perform operations and processing on the data 223 in the memory 22. It can be Windows Server, Netware, Unix, Linux, etc. The computer program 222, in addition to including a computer program capable of performing the scenario-driven digital agricultural application method executed by the electronic device 20 as disclosed in any of the foregoing embodiments, may further include computer programs capable of performing other specific tasks. The data 223 may include data received by the scenario-driven digital agricultural application device from external devices, as well as data collected by its own input / output interface 25.

[0050] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0051] Furthermore, this application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, it implements the aforementioned scenario-driven characteristic agricultural digital application method. Specific steps of this method can be found in the corresponding content disclosed in the foregoing embodiments, and will not be repeated here.

[0052] It should be understood that the use of terms such as "method," "apparatus," "unit," and / or "module" in this application is merely to distinguish one method of different components, elements, parts, sections, or assemblies at different levels. However, if other terms can achieve the same purpose, they may be replaced by other expressions.

[0053] As indicated in this application and claims, unless the context clearly indicates otherwise, the words "a," "an," "a," and / or "the" are not specifically singular and may include the plural. Generally, the terms "comprising" and "including" only indicate the inclusion of expressly identified steps and elements, which do not constitute an exclusive list, and the method or apparatus may also include other steps or elements. An element defined by the phrase "comprising an..." does not exclude the presence of other identical elements in the process, method, product, or apparatus that includes the element.

[0054] Hereinafter, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature.

[0055] If a flowchart is used in this application, it is used to illustrate the operations performed by the system according to embodiments of this application. It should be understood that the preceding or following operations are not necessarily performed in exact order. Instead, the steps can be processed in reverse order or simultaneously. Furthermore, other operations can be added to these processes, or one or more steps can be removed from them.

[0056] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A scenario-driven approach to digital agriculture, characterized by: Includes the following steps: To understand the specific needs and scenarios of the distinctive agricultural industry; Feature identification is performed based on the scenario requirements to identify the participating entities; Based on the participating entities, an integrated scenario task is formed to meet the scenario requirements; The integrated scenario tasks are then implemented and applied.

2. The scenario-driven digital application method for characteristic agriculture according to claim 1, characterized in that, The specific scenarios for acquiring distinctive agricultural industries include: A systematic survey of the distinctive agricultural industries was conducted to obtain the scenario requirements of these industries.

3. The scenario-driven digital application method for characteristic agriculture according to claim 1, characterized in that, The step of performing feature recognition based on the scenario requirements to obtain the participating entities specifically includes: Feature identification is performed based on the requirements of the scenario to obtain diverse, collaborative, evolutionary, and integrated features as participating entities.

4. The scenario-driven digital application method for characteristic agriculture according to claim 1, characterized in that, The process of forming an integrated scenario task that meets the scenario requirements based on the participating entities specifically includes: Define the scenario positioning of the participating entities, and form an integrated scenario task that meets the scenario requirements based on the scenario positioning and preset technologies.

5. The scenario-driven digital application method for characteristic agriculture according to claim 1, characterized in that, The implementation of the integrated scenario task specifically includes: The integrated scenario tasks are combined with industrialization types for practical application.

6. The scenario-driven digital application method for characteristic agriculture according to claim 1, characterized in that, After implementing the integrated scenario task, the process also includes: The integrated scenario tasks after application are optimized.

7. The scenario-driven digital application method for characteristic agriculture according to claim 1, characterized in that, The optimization of the integrated scenario task after application specifically includes: By developing domain knowledge ontology and building knowledge graph prototypes, we can review the application scenarios. Multidimensional feature extraction and structured representation are performed on the participating entities in the aforementioned application scenario to construct scenario features; Based on the described scenario characteristics, obtain the application scenario requirements; Intelligent recommendation service mode is achieved by combining a multi-agent collaborative filtering model framework with application scenario requirements; The application of AI-recommended scenarios combined with the aforementioned service model will be carried out in practice.

8. A scenario-driven digital application system for specialized agriculture, characterized in that: include: The module comprises an acquisition module, an identification module, a task generation module, and an application module. The acquisition module is used to acquire the scenario requirements of the characteristic agricultural industry; The identification module is used to perform feature identification according to the scenario requirements in order to obtain the participating entities; The task generation module is used to generate an integrated scenario task that meets the scenario requirements based on the participating entities; The application module is used to implement the application based on the integrated scenario task.

9. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor, the memory storing a computer program executable by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The storage medium is used to store a computer program that causes a computer to perform the method described in any one of claims 1-7.

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