A multi-terminal collaborative intelligent agricultural service system and method

Abstract

This invention belongs to the field of agricultural digital service technology, and relates to a multi-terminal collaborative smart agriculture service system and method. The system includes a back-end management terminal, an agronomist mobile terminal, a farmer client terminal, and intelligent environmental monitoring equipment. The back-end management terminal statistically analyzes various data and generates visual reports. The agronomist mobile terminal is used to view data from its own platform. The farmer client terminal is used to view data from its own platform. The intelligent environmental monitoring equipment, deployed on the farmer's land, includes air temperature and humidity sensors and light intensity sensors to collect environmental monitoring data in real time. The back-end management terminal, agronomist mobile terminal, farmer client terminal, and intelligent environmental monitoring equipment establish a communication connection with the platform server via a 4G / 5G wireless network or wired network to achieve real-time data synchronization and collaborative business operations. This invention can effectively improve the response efficiency and management precision of agricultural services.

Description

Technical Field

[0001] This invention relates to the field of agricultural digital service technology, specifically to a multi-terminal collaborative smart agriculture service system and method. Background Technology

[0002] With the development of digital agricultural services, agricultural service organizations face urgent needs such as multi-role collaboration, unified inventory allocation, and closed-loop business processes when providing standardized agricultural technical services. In existing technologies, an agricultural IoT integrated service management system adopts an architecture of client, third-party transaction module, and server. The client includes modules for farmer management, agricultural input seller management, agricultural product purchaser management, and agricultural expert management. This system enables functions such as full recording of the agricultural product planting process, calculation of agricultural input usage, auxiliary diagnosis of pests and diseases, and agricultural information query, thereby reducing agricultural input waste and environmental pollution to a certain extent.

[0003] However, the following problems still exist: existing technologies are mainly geared towards individual farmers or planting entities, and do not provide a multi-terminal collaborative architecture for agricultural service organizations. This results in the dispersion of agricultural input inventory within agricultural service organizations, a lack of channels for real-time viewing and cross-entity allocation, and a tendency for chaotic inventory management problems such as shortages in some areas and stockpiles in others.

[0004] In view of this, it is very necessary for the present invention to provide a multi-terminal collaborative smart agriculture service system and method to solve the above-mentioned defects in the prior art. Summary of the Invention

[0005] The purpose of this invention is to solve the technical problems in the existing technology of agricultural service organizations, which are unable to view and allocate agricultural input inventory in real time across entities and are chaotic due to the lack of a multi-terminal collaborative architecture. The invention provides a design of a multi-terminal collaborative smart agricultural service system and method to solve the technical problems existing in the prior art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: In a first aspect, the present invention provides a multi-terminal collaborative smart agriculture service system, including a back-end management terminal, an agronomist mobile terminal, a farmer client terminal, and intelligent environmental monitoring equipment: In the backend management terminal: It has built-in personnel management, order management, inventory management, and data analysis units to perform statistical analysis on various types of data and generate visual reports, order statistics reports, and inventory statistics reports; it analyzes operational status through visual reports and feeds back the analysis results to various terminals; In the agronomist's mobile app: The system includes built-in order creation, inventory transfer, field inspection record, and customer management units. The order creation unit creates agricultural input orders based on farmers' needs and executes delivery scheduling. The inventory transfer unit performs inventory transfer operations across agricultural service stations and agronomists, including transfer applications, transfer confirmations, and automatic synchronization of inventory flow. The field inspection record unit enters relevant land information. The customer management unit manages and maintains information on the farmers under its jurisdiction, establishes customer files, and performs classification, labeling, and follow-up recording. In the farmer's client application: It includes a built-in order payment unit, a field inspection information receiving unit, an environmental monitoring data viewing unit, and a historical data query unit. The order payment unit is used to receive agricultural input orders pushed by agronomists and complete online payment and confirmation of agricultural input usage. The field inspection information receiving unit receives field inspection service reminders and service completion notifications. The environmental monitoring data viewing unit acquires and displays the temperature and humidity data, light data, and their change curves of the plot. The historical data query unit is used to view historical orders, field inspection records, and plot planting files. The intelligent environmental monitoring equipment includes air temperature and humidity sensors and light intensity sensors, which are deployed on farmers' plots of land. The intelligent environmental monitoring equipment starts automatically after being powered on and collects environmental monitoring data in real time at a configurable frequency. The data is transmitted to the platform server via a 4G / 5G wireless network. The platform server encrypts the environmental monitoring data and then pushes it synchronously to the farmer's client and the back-end management terminal.

[0007] Secondly, this application also provides a multi-terminal collaborative smart agriculture service method, which includes the following steps when receiving agricultural order information: Step S1: The farmer's client receives agricultural input product demand information and generates agricultural input product demand request data. The platform server sends the agricultural input product demand request data to the agronomist's mobile terminal and also sends it to the back-end management terminal for storage. Step S2: The agronomist's mobile app receives agricultural input product demand request data forwarded by the platform server, and logs in to the agronomist's mobile app to view agricultural input inventory data; Step S3: The agronomist's mobile app uses agricultural input inventory data to uniformly allocate and update the demand request data for agricultural input products in real time. Step S4: The agronomist's mobile app uploads the generated agricultural input order data to the platform server. The platform server then structures and packages the agricultural input order data and pushes it to the corresponding farmer's client. The farmer's client views and confirms the agricultural input order information on the farmer's client interface, generating order confirmation data which is then uploaded to the platform server. Step S5: After confirming the agricultural input order, the farmer's client initiates a payment request. The platform server calls the third-party payment interface to complete the payment processing and generate payment result data. The agronomist's mobile client schedules delivery based on the completed agricultural input order, generates delivery scheduling information and updates the agricultural input order execution status. After delivery is completed, the delivery confirmation data is uploaded to the platform server. Step S6: The back-end management terminal receives agricultural input order data, inventory transfer data and payment data synchronized from the platform server in real time, summarizes and analyzes the data, and generates visual analysis reports.

[0008] This method achieves real-time synchronization and coordinated processing of agricultural input demand, inventory allocation, order generation, payment, and delivery information between farmer clients, agronomist mobile devices, and the back-end management platform. This enables multi-terminal, collaborative, closed-loop management of the entire agricultural input order process, from demand initiation to fulfillment, effectively avoiding information delays and inconsistencies in inventory allocation. Through cross-entity inventory allocation and a unified update mechanism, it achieves dynamic balance and efficient circulation of agricultural input inventory, improving inventory utilization and order response speed. The back-end management platform centrally analyzes and provides feedback on order, inventory, and payment data, enhancing overall operational decision-making and service collaboration capabilities.

[0009] In addition, this application also provides a multi-terminal collaborative smart agriculture service method, which includes the following steps when a field inspection record request is received: Step S1: The agronomist initiates a field inspection record request on the mobile terminal and uploads the request to the platform server. The platform server parses and distributes the field inspection record request, and pushes it to the backend management terminal and the farmer's client simultaneously; the intelligent environmental monitoring equipment collects environmental factor data and generates environmental monitoring data. Step S2: The backend management terminal receives the field patrol record request and environmental monitoring data synchronized from the platform server, performs statistical analysis and processing on the environmental monitoring data, generates environmental change trend data and abnormal fluctuation analysis results, and performs unified management and display of the environmental status of each plot. Step S3: After logging into the agronomist mobile app, load the information of the farmers under your jurisdiction and the corresponding plot information. Based on the environmental monitoring data and plot file information synchronized by the platform server, determine the target plot for field inspection and the field inspection task. During the field inspection, retrieve environmental monitoring data in real time to help judge the crop growth status. Step S4: After the agronomist arrives at the target plot with the agronomist's mobile device, he performs on-site field inspection through the field inspection record unit, generates field inspection record data, and uploads it to the platform server; after receiving the field inspection reminder information pushed by the platform server, the farmer's client performs supplementary field inspection operations according to the reminder, supplements the actual management status of the plot, generates supplementary field inspection record data, and uploads it to the platform server. Step S5: The platform server will merge the supplementary field patrol record data with the field patrol record data, and store them in association according to the plot identifier and farmer identifier, and write them into the corresponding plot file to generate a set of historical field patrol data for the plot. Step S6: The back-end management terminal performs unified summary and analysis on the field patrol record data, supplementary field patrol record data and environmental monitoring data, and generates a field patrol statistical report.

[0010] This method enables real-time sharing and collaborative processing of field inspection tasks and environmental data across multiple platforms, including agronomist mobile devices, farmer clients, back-end management terminals, and intelligent environmental monitoring equipment. This achieves coordinated execution and closed-loop information management of field inspection operations and environmental monitoring, improving the accuracy and timeliness of the inspection process. By integrating and storing environmental monitoring data with on-site inspection records, continuous tracking and comprehensive analysis of plot growth status are achieved. The back-end management terminal performs unified analysis based on multi-source data and provides feedback and guidance, enabling synergistic improvement in field inspection decision-making and agricultural management.

[0011] The beneficial effects of this invention are as follows: By establishing a multi-terminal collaborative communication connection between the back-end management terminal, agronomist mobile terminal, farmer client terminal and intelligent environmental monitoring equipment based on 4G / 5G network and wired network, real-time synchronization and unified aggregation of agricultural input inventory data, order data and plot environmental data can be achieved across entities. This effectively solves the problem of inventory not being able to be viewed in real time, uniformly allocated and managed in agricultural service organizations due to the lack of information sharing among multiple terminals.

[0012] This invention establishes a two-way linkage between the back-end management terminal, the agronomist's mobile terminal, and the farmer's client through a multi-terminal collaboration mechanism: the back-end management terminal centrally collects and analyzes various business data and feeds back the analysis results to each terminal, achieving unified scheduling and decision support; the agronomist's mobile terminal creates orders and schedules deliveries based on farmer needs, and supports cross-agricultural service stations and cross-agronomists for inventory transfer and automatic synchronization of inventory flow, realizing the collaborative flow of inventory resources among multiple entities; the farmer's client receives order information, service reminders, and environmental warning information in real time, and provides feedback on order confirmation and agricultural input usage status, thereby achieving closed-loop collaboration in business execution and feedback.

[0013] Through multi-terminal collaboration, data sharing, business cooperation, and status synchronization are achieved among various terminals, enabling efficient connection between multiple entities in the processes of agricultural input inventory allocation, order transfer, and agricultural service execution. This reduces information silos and repetitive operations, and improves overall business collaboration efficiency and inventory scheduling consistency.

[0014] Meanwhile, through the collaborative communication between intelligent environmental monitoring equipment and various terminals, the plot environmental data is synchronized to the farmer's client and the back-end management terminal in real time, realizing the linkage display and sharing of environmental data and agricultural management data. This enables agronomic service decisions to be coordinated and adjusted based on real-time environmental information, thereby improving the response efficiency of agricultural services and the level of management refinement.

[0015] Therefore, it is evident that the present invention has outstanding substantive features and significant progress compared with the prior art, and the beneficial effects of its implementation are also obvious. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention 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 embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0017] Figure 1 This is a schematic diagram of a multi-terminal collaborative smart agriculture service system. Figure 2 This is a flowchart illustrating a multi-terminal collaborative smart agriculture service method when agricultural order information is received. Figure 3 This is a flowchart of a multi-terminal collaborative smart agriculture service method when a field inspection record request is received; Among them, 1-back-end management terminal, 2-agronomist mobile terminal, 3-farmer client terminal, and 4-intelligent environmental monitoring equipment. Detailed Implementation

[0018] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments. The following embodiments are explanations of the present invention, but the present invention is not limited to the following implementation methods.

[0019] Example 1: like Figure 1 As shown, this embodiment provides a multi-terminal collaborative smart agriculture service system, including: a back-end management terminal 1, an agronomist mobile terminal 2, a farmer client terminal 3, and a smart environmental monitoring device 4. It establishes a communication connection with the platform server via a 4G / 5G wireless network or wired network to achieve real-time data synchronization and collaborative business operations. The platform server is responsible for data storage, encryption, forwarding, and processing to ensure data accuracy, integrity, and security. A multi-terminal collaborative smart agriculture service system includes: In the backend management terminal 1: It establishes a two-way communication connection with the agronomist mobile terminal 2 and the farmer client terminal 3, serving as the core management hub of the entire system; it has built-in personnel management unit, order management unit, inventory management unit, and data analysis unit to perform statistics and analysis on various types of data, and generate visual reports, order statistics reports, and inventory statistics reports; it analyzes the operation through visual reports and feeds back the analysis results to each terminal.

[0020] The various types of data in the back-end management terminal 1 include personnel management-related data, order management-related data, inventory management-related data, and data analysis-related data; among which: Personnel management related data, including: Agronomist account information, farmer account information, configuration permissions and service scope information, and extended farmer information; The configuration permissions include inventory transfer permissions and order management permissions; Service scope information includes information on the farmers under its jurisdiction and information on agricultural service stations; The extended information for farmers includes basic farmer information, information on the relationship between farmers and agronomists, land plot information, and service record information. Order management related data, including: Order number, farmer information, agronomist information, product information, payment status, delivery status, order processing information, and abnormal order processing records; Inventory management related data, including: Agricultural input inventory data and inventory transfer data; Among them, the agricultural input inventory data includes information on the quantity of agricultural inputs in stock at each agricultural service station and each agronomist; Inventory transfer data includes inventory transfer flow information, inventory warning threshold information, inventory turnover rate, and backlog inventory statistics; Data analysis related data, including: business analysis data, production analysis data, and presentation data; The operational analysis data includes sales data, order volume data, customer activity data, and inventory turnover rate data. Production analysis data includes plot yield data, plot inspection records, and environmental monitoring data; The data displayed includes statistical reports and visualization charts generated from the above data, including bar charts, line charts, and pie charts. Among them, the field inspection records are the core component of production analysis data, specifically including: plot ID, crop type, variety, planting time, fertilization and pesticide application records, irrigation records, pest and weed control records, growth status, yield and income.

[0021] The back-end management terminal 1 includes a built-in personnel management unit, an order management unit, an inventory management unit, and a data analysis unit; wherein: The personnel management unit is used to perform personnel information configuration and maintenance operations, including: Adding, editing, and deleting agronomist accounts; Configure permissions for agronomists, including inventory transfer permissions and order management permissions; Configure the service scope of agronomists, which includes the farmers and agricultural service stations under their jurisdiction; To manage and maintain farmer information, which includes basic farmer information, farmer-agronomist relationship information, land plot information, and service record information; The order management unit is used to perform full-process order management operations, including: View the detailed information of agricultural input orders, which includes order number, farmer information, agronomist information, product information, payment status, and delivery status; The entire order process is monitored, and abnormal orders are handled, including order cancellation and order modification. Order statistics reports are generated based on order data. These reports include order volume and sales revenue, which are categorized by time dimension. The inventory management unit is used to perform inventory monitoring and control operations, including: Check the agricultural input inventory data of each agricultural service station and each agronomist; Monitor inventory transfer flow information; Set an inventory warning threshold and trigger a stockout warning when the inventory falls below the set quantity; Inventory statistics reports are generated based on inventory data. These reports include inventory turnover rate and backlog inventory statistics to support inventory allocation and management. The data analysis unit is used to perform data statistics and analysis operations, including: Statistical analysis was conducted on sales revenue, order volume, customer activity, inventory turnover rate, land output, and environmental monitoring data. Visualized reports are generated based on statistical results, including bar charts, line charts, and pie charts. The operation of agricultural service organizations is analyzed based on the aforementioned visualization reports. The operation includes crop planting demand, agronomist service efficiency, and inventory turnover rationality. Based on the analysis results, decision support information is generated and fed back to each terminal.

[0022] The process of generating visual reports in the backend management terminal 1 includes: S1. The backend management terminal 1 receives a report viewing request initiated by the administrator. The report viewing request includes the target statistical indicators, statistical period and report type. S2. Based on the report viewing request, retrieve the corresponding business data from the platform server. The business data includes agricultural input order records, inventory flow records, farmer operation records, field inspection records, and temperature, humidity, and light data uploaded by the intelligent environmental monitoring device 4. S3. Segment the retrieved business data according to the time field, dividing it into daily, weekly, monthly, quarterly, or annual data; perform calculations on the data within each time period to obtain the statistical results for the current time period: The sales amount is obtained by summing the order amounts; the order quantity is obtained by counting the order quantities; the customer activity level is obtained by counting the farmer operation records; the inventory turnover rate is obtained by calculating the ratio of inventory inflow and outflow data; the average yield of the plot is obtained by averaging the yield data in the field inspection records; the average value of the environmental monitoring data is obtained by averaging the environmental monitoring data. The above results are summarized to obtain the statistical results for the current time period. S4. Calculate the month-on-month growth rate by comparing the statistical results of the current time period with the statistical results of the previous time period; calculate the year-on-year growth rate by comparing the statistical results of the current time period with the statistical results of the corresponding time period in the previous year. S5. Write the statistical results, month-on-month growth rate, and year-on-year growth rate of the current time period into the report dataset, and associate each statistical data with the corresponding original business data identifier to generate a traceable data structure; S6. Select the graphic display method according to the report type, generate a visual report, use the statistical period as the horizontal axis or category, and use the statistical values ​​as the display data to generate bar charts, line charts or pie charts; set up data interaction entry in the graphic, and retrieve the corresponding original business data and display it when a viewing command is received.

[0023] In the aforementioned agronomist mobile app 2: It establishes a two-way communication connection with the back-end management terminal 1 and the farmer client terminal 3; it has built-in order creation unit, inventory transfer unit, field inspection record unit and customer management unit; it is used to view data from the agronomist mobile terminal 2; the order creation unit is used to create agricultural input orders according to farmers' needs and execute delivery scheduling; the inventory transfer unit is used to execute inventory transfer operations across agricultural service stations and across agronomists, and the transfer operation includes transfer application, transfer confirmation and automatic synchronization of inventory flow; the field inspection record unit is used to enter relevant information about the plot; the customer management unit is used to manage and maintain information of the farmers under its jurisdiction, establish customer files, and perform classification, labeling and follow-up records. After logging into the agronomist's mobile app 2 with their account and password, the agronomist loads agricultural input product information under their name, including product name, specifications, unit price, and current inventory. The order creation unit, based on farmer inquiries via phone or offline communication, creates an agricultural input order on the mobile app, filling in the farmer's name, contact information, plot address, product name, quantity, and unit price. After confirming the information is correct, the order is submitted. The platform server pushes the order to the corresponding farmer's client app 3. After the farmer completes online payment on the farmer's client app 3, payment result data is generated and fed back to the agronomist's mobile app 2. The agronomist arranges agricultural input delivery according to the order information. After delivery, the agronomist confirms the delivery status through the agronomist's mobile app 2 and automatically deducts the corresponding agricultural input inventory based on the delivery confirmation information. During the order creation process, the order creation unit structurally encapsulates the order information and generates an order number to associate the order information with the farmer and product information. The order status is continuously updated during the order flow, including pending payment, paid, and completed delivery status, to achieve full-process order status traceability.

[0024] Agronomists can view their own agricultural input inventory, as well as the inventory data of their affiliated agricultural service stations and peer agronomists through the inventory transfer unit in the inventory management interface. When their own inventory cannot meet the order demand, the agronomist initiates an inventory transfer application. After the application is submitted, the platform server pushes the transfer application to the mobile terminal of the recipient. After the recipient confirms the transfer, the inventory of both parties is transferred, generating an inventory transfer record. The inventory transfer record is synchronized to the agronomist's mobile terminal 2 and the back-end management terminal 1 to achieve consistent updates and dynamic balance of inventory data.

[0025] After arriving at the farmer's plot with the agronomist's mobile device 2, the agronomist selects the corresponding farmer and plot through the field inspection record interface, performs the field inspection service, and generates field inspection information, including crop type, crop variety, planting time, fertilization records (fertilizer type, dosage, and time), pesticide records (pesticide type, dosage, and time), irrigation records, pest and weed control records, crop growth status, estimated yield, actual yield, and planting income. The field inspection information is submitted to the platform server, which receives the information and generates the corresponding field inspection record. Combined with supplementary field inspection data, the data is associated and stored according to the plot identifier and farmer identifier, and written into the corresponding plot file to generate a historical field inspection data set for the plot. The system continuously accumulates and updates different field inspection records to achieve continuous recording and traceability management of the plot's full life cycle data. At the same time, the updated field inspection records are synchronized to the agronomist's mobile device 2 and the backend management terminal 1 for querying and retrieval.

[0026] Agronomists use the customer management interface to create information files for their assigned farmers, entering farmer names, contact information, number of plots, plot locations, and crop information. They also categorize and tag farmers, and record historical service records and follow-up status. The farmer information creation process generates customer profile data based on the basic farmer information entered by the agronomist on their mobile device, storing the data with a unique farmer identifier. Categorization and tagging categorize farmers based on service frequency, service type, and cooperation status, labeling them as key customers, new customers, and returning customers, and updating the tag information in relation to the customer profile. Historical service records and follow-up status are used to collect agricultural input order records, field inspection records, and communication records, forming customer service trajectory data in chronological order. This supports subsequent customer inquiries and service tracking, enabling timely responses to farmer needs and improving customer maintenance efficiency and repurchase rates.

[0027] The inventory transfer operation in the agronomist mobile app 2 is as follows: S1. Agronomists can view their own agricultural input inventory, as well as the inventory data of their affiliated agricultural service stations and peer agronomists through the inventory transfer unit in the inventory management interface. When their own inventory cannot meet the demand of agricultural input orders, agronomists can select the transfer target, transfer product and transfer quantity on the agronomist mobile terminal 2, generate inventory transfer application data, and submit the inventory transfer application. S2. The agronomist's mobile app 2 uploads the inventory transfer application to the platform server. The platform server then pushes the inventory transfer application to the mobile app of the recipient based on the transfer recipient information. S3. The recipient's mobile device receives the inventory transfer request, views its own inventory data, and if it agrees to the inventory transfer, it performs a confirmation operation, generates transfer confirmation data, and sends the transfer confirmation data back to the platform server. S4. The platform server synchronizes and updates the inventory data of the transferring party and the receiving party based on the transfer confirmation data, and performs inventory transfer processing. S5. The platform server generates inventory transfer records and synchronizes the inventory transfer records to the agronomist's mobile terminal 2 and the back-end management terminal 1.

[0028] In the farmer client 3: It establishes a two-way communication connection with the agronomist's mobile terminal 2, the back-end management terminal 1, and the intelligent environmental monitoring device 4; it has built-in order payment unit, field inspection information receiving unit, environmental monitoring data viewing unit, and historical data query unit; it is used to view data from the farmer's client 3; the order payment unit is used to receive agricultural input orders pushed by the agronomist and complete online payment and agricultural input usage confirmation; the field inspection information receiving unit is used to receive field inspection service reminders and service completion notifications; the environmental monitoring data viewing unit is used to acquire and display the temperature and humidity data, light data, and their change curves of the plot, and trigger an abnormal warning when the data exceeds the preset range; the historical data query unit is used to view historical orders, field inspection records, and plot planting files; Specifically: The order payment unit receives agricultural input orders pushed by the agronomist's mobile terminal 2 and displays the order information. After confirming the order information, it performs online payment and generates payment result data, which is then fed back to the agronomist's mobile terminal 2 and the backend management terminal 1. The field inspection information receiving unit receives field inspection service reminders initiated by the agronomist's mobile terminal 2, conducts field inspections, and sends a service completion notification upon completion, generating a farmer's field inspection record. The farmer's field inspection record is used to supplement or confirm the field inspection record generated by the agronomist, generating supplementary field inspection data, which is then associated and stored with the field inspection record generated by the agronomist's mobile terminal. The environmental monitoring data viewing unit binds to the intelligent environmental monitoring device 4 by scanning its QR code. After binding, it can obtain real-time data on plot temperature, humidity, and light intensity, as well as data change curves collected by the intelligent environmental monitoring device 4. When the data exceeds the preset range, an abnormal warning is triggered. The historical data query unit is used to query historical order records, field inspection records, and plot planting archive data, facilitating the tracking of agricultural input usage, agricultural operations, and other related information.

[0029] The agricultural input order information includes product, quantity, unit price, total price, and delivery time. The farmer client 3 supports payment methods such as WeChat, Alipay, and bank cards.

[0030] The working process of the farmer client 3 is as follows: S1. Farmers register and log in to the farmer client 3 using their mobile phone numbers. After logging in, they enter their personal information and land information and upload it to the platform server. The platform server then creates a farmer identifier based on the farmer information and associates it with the corresponding agronomist identifier to establish a relationship and generate farmer profile data. The farmer profile data is synchronized to the personnel management unit of the backend management terminal 1 for centralized management, maintenance, and service relationship configuration of farmer information.

[0031] S2. Farmer client 3 receives agricultural input order information forwarded by platform server. The agricultural input order information includes product information, quantity information, unit price information, total price information, and delivery time information. Farmer client 3 displays the agricultural input order information, generates order confirmation status data based on the farmer's confirmation result, and uploads it to platform server. Platform server synchronizes the order confirmation status data to the order management unit of backend management terminal 1 for full-process order monitoring and abnormal order identification.

[0032] S3. After the agricultural input order is confirmed, the farmer initiates a payment request through the farmer client 3 and submits it to the platform server. The platform server then calls a third-party payment interface to complete the payment process. After the payment is completed, payment success data is generated and synchronized to the farmer client 3, the agronomist mobile client 2, and the back-end management terminal 1. The order management unit of the back-end management terminal 1 updates the order payment status based on the payment success data and generates an order statistical report based on the order data. At the same time, the data analysis unit of the back-end management terminal 1 performs statistical analysis on sales and order volume based on the order data and feeds back the analysis results to the farmer client 3 through the platform server.

[0033] The intelligent environmental monitoring device 4 includes an air temperature and humidity sensor and a light intensity sensor, and is deployed in the core area of ​​the farmer's plot or facility agriculture environment. The intelligent environmental monitoring device 4 automatically starts after being powered on and collects environmental monitoring data in real time at a configurable frequency, including air temperature and humidity data and light intensity data. The collected environmental monitoring data is transmitted to the platform server through a 4G / 5G wireless network. The platform server encrypts the environmental monitoring data and then pushes it synchronously to the farmer's client 3 and the back-end management terminal 1 to realize real-time monitoring and visualization of environmental monitoring data.

[0034] The configurable frequency range is from 1 minute / time to 60 minutes / time; the transmission process of the collected environmental monitoring data includes: the intelligent environmental monitoring device automatically starts after being powered on, collects environmental monitoring data at the set configurable frequency, for example, the configurable frequency is set to every 8-12 minutes / time, encapsulates the environmental monitoring data in HEX format, and pushes it to the specified interface of the platform server using the MQTT protocol or HTTP protocol; after receiving the data, the platform server verifies the legality of the intelligent environmental monitoring device ID, and after successful verification, stores it in the time series database and pushes it to the farmer client 3 and the backend management terminal 1 in real time; if three consecutive uploads fail, the intelligent environmental monitoring device enters the retry mode, and the retry time can be set by setting the retry time interval; for example, the retry time interval is 3-7 minutes.

[0035] In addition, data from all terminals—namely, the agronomist mobile app 2, the farmer client app 3, the back-end management app 1, and the intelligent environmental monitoring device 4—are uniformly uploaded to the platform server. The platform server uses encryption algorithms to encrypt the data to ensure data security. Data is synchronized to each relevant terminal in real time, with access control implemented. For example, the agronomist mobile app 2 can only view the data of the farmers under its jurisdiction and the inventory data, while the administrator can view all data. All operations generate operation logs to ensure data traceability.

[0036] Based on the above system, a smart agriculture service method based on multi-terminal collaboration of the above system is also provided.

[0037] Example 2: like Figure 2 As shown, this embodiment provides a multi-terminal collaborative smart agriculture service method, which includes the following steps when agricultural order information is received: Step S1: The farmer's client receives agricultural input product demand information, generates agricultural input product demand request data based on the agricultural input product demand information, and sends the agricultural input product demand request data to the agronomist's mobile terminal through the platform server. At the same time, the platform server synchronously distributes the agricultural input product demand request data to the back-end management terminal for storage. Step S2: The agronomist's mobile app receives agricultural input product demand request data forwarded by the platform server, logs in to the agronomist's mobile app to load the information of the farmers under the agronomist's jurisdiction and the corresponding plot information, and views the agricultural input inventory data, which includes the agronomist's own inventory, the inventory of the affiliated agricultural service station, and the inventory of agronomists at the same level. Step S3: The agronomist's mobile app uses agricultural input inventory data to uniformly allocate and update the demand request data for agricultural input products in real time. Specifically: When inventory is sufficient, the agronomist's mobile app creates agricultural input orders and generates agricultural input order data; when inventory is insufficient, the agronomist's mobile app initiates cross-entity inventory transfer request data through the inventory transfer unit. The platform server pushes the inventory transfer request data to the corresponding agricultural service station or the mobile app of the same level agronomist. After the recipient confirms the transfer, transfer confirmation data is generated. The platform server completes the inventory transfer based on the transfer confirmation data and generates an inventory transfer log record. Step S4: The agronomist's mobile app uploads the generated agricultural input order data to the platform server. The platform server encapsulates the agricultural input order data in a structured manner and generates an order identifier, then pushes the agricultural input order to the corresponding farmer's client. The farmer's client receives the agricultural input order forwarded by the platform server, views the agricultural input order information on the farmer's client interface, performs a confirmation operation, generates order confirmation data, and uploads it to the platform server. Step S5: After confirming the agricultural input order, the farmer's client initiates a payment request. The platform server calls the third-party payment interface to complete the payment processing, generates payment result data, and synchronizes the payment result data to the farmer's client, the agronomist's mobile client, and the backend management terminal. At the same time, the status of the agricultural input order is updated. The agronomist's mobile client schedules delivery based on the agricultural input order that has been paid for, generates delivery scheduling information, updates the execution status of the agricultural input order, and uploads delivery confirmation data to the platform server after delivery is completed. Step S6: The back-end management terminal receives agricultural input order data, inventory allocation data, and payment data synchronized from the platform server in real time. It summarizes, statistically analyzes, and generates statistical results on agricultural input order volume, sales volume, inventory turnover rate, and customer activity, and forms a visual analysis report. Based on the visual analysis report, the back-end management terminal performs unified control over the system operation status, including personnel permission configuration, agricultural input inventory scheduling optimization, and agronomist service efficiency analysis. The analysis results are fed back to the agronomist's mobile terminal and the farmer's client through the platform server to achieve multi-terminal collaborative closed-loop management.

[0038] Example 3: like Figure 3 As shown, this embodiment provides a multi-terminal collaborative smart agriculture service method, which includes the following steps when a field inspection record request is received: Step S1: The agronomist initiates a field inspection record request on their mobile device and uploads the request to the platform server. The platform server parses and distributes the request, and simultaneously pushes it to the backend management terminal and the farmer's client, enabling multi-terminal collaborative triggering of the field inspection task. The intelligent environmental monitoring device collects environmental factor data, generates environmental monitoring data, and uploads the environmental monitoring data to the platform server via 4G / 5G network. The platform server verifies, encrypts, and stores the environmental monitoring data, and synchronizes it to the backend management terminal, the agronomist's mobile device, and the farmer's client for real-time sharing across multiple terminals. Step S2: The backend management terminal receives the field inspection record request and environmental monitoring data synchronized from the platform server, performs statistical analysis and processing on the environmental monitoring data, generates environmental change trend data and abnormal fluctuation analysis results, and uniformly manages and displays the environmental status of each plot, providing environmental data support for the field inspection process. Step S3: After logging into the agronomist mobile app, load the information of the farmers under your jurisdiction and the corresponding plot information. Based on the environmental monitoring data and plot file information synchronized by the platform server, determine the target plot for field inspection and the field inspection task. During the field inspection, retrieve environmental monitoring data in real time to help judge the crop growth status. Step S4: After arriving at the target plot with their mobile agronomist device, the agronomist performs on-site field inspections using the field inspection record unit. This involves collecting and inputting data on crop type, variety, planting time, fertilization records, pesticide application records, irrigation records, pest and weed control records, crop growth and yield, generating field inspection record data, and uploading it to the platform server. Farmers, upon receiving field inspection reminders from the platform server, perform supplementary field inspection operations based on the reminders, supplementing the data on the actual management of the plot, generating supplementary field inspection record data, and uploading it to the platform server. Step S5: The platform server will merge the supplementary field inspection record data with the field inspection record data, associate and store them according to the plot identifier and farmer identifier, write them into the corresponding plot file, and generate a set of historical field inspection data for the plot. Step S6: The backend management system aggregates and analyzes the field patrol records, supplementary field patrol records, and environmental monitoring data to generate a field patrol statistical report. Based on this report, the field patrol service is controlled and optimized. The backend management system then feeds the field patrol statistical report back to the agronomist's mobile app and the farmer's client app via the platform server. This serves to guide subsequent adjustments to the field patrol plan and optimization of agricultural management, enabling multi-terminal collaborative closed-loop management between the backend management system, the agronomist's mobile app, the farmer's client app, and the environmental monitoring equipment.

[0039] The above-disclosed embodiments are merely preferred embodiments of the present invention, but the present invention is not limited thereto. Any non-creative variations that can be conceived by those skilled in the art, as well as any improvements and modifications made without departing from the principles of the present invention, should fall within the protection scope of the present invention.

Claims

1. A multi-terminal collaborative smart agriculture service system, characterized in that, This includes a back-end management platform, agronomist mobile app, farmer client app, and smart environmental monitoring equipment: In the backend management terminal: It has built-in personnel management, order management, inventory management, and data analysis units to perform statistics and analysis on various types of data and generate visual reports, order statistics reports, and inventory statistics reports. Analyze operational status through visual reports and feed the results back to each terminal; In the agronomist's mobile app: It includes built-in order creation, inventory transfer, field inspection record, and customer management units; The order creation unit creates agricultural input orders based on farmers' needs and executes delivery scheduling; the inventory transfer unit performs inventory transfer operations across agricultural service stations and agronomists, including transfer applications, transfer confirmations, and automatic synchronization of inventory flow; the field inspection record unit enters relevant information about the plots; and the customer management unit manages and maintains information on the farmers under its jurisdiction, establishes customer files, and performs classification, labeling, and follow-up recording. In the farmer's client application: It includes a built-in order payment unit, a field inspection information receiving unit, an environmental monitoring data viewing unit, and a historical data query unit. The order payment unit is used to receive agricultural input orders pushed by agronomists and complete online payment and confirmation of agricultural input usage. The field inspection information receiving unit receives field inspection service reminders and service completion notifications. The environmental monitoring data viewing unit acquires and displays the temperature and humidity data, light data, and their change curves of the plot. The historical data query unit is used to view historical orders, field inspection records, and plot planting files. The intelligent environmental monitoring equipment includes air temperature and humidity sensors and light intensity sensors, which are deployed on farmers' plots of land. The intelligent environmental monitoring equipment starts automatically after being powered on and collects environmental monitoring data in real time at a configurable frequency. The data is transmitted to the platform server via a 4G / 5G wireless network. The platform server encrypts the environmental monitoring data and then pushes it synchronously to the farmer's client and the back-end management terminal.

2. The multi-terminal collaborative smart agriculture service system according to claim 1, characterized in that, The process of generating visual reports in the backend management terminal includes: S1. The backend management terminal receives report viewing requests initiated by the administrator. The report viewing request includes the target statistical indicators, statistical period, and report type. S2. Based on the report viewing request, retrieve the corresponding business data from the platform server; S3. The retrieved business data is segmented according to the time field, into daily, weekly, monthly, quarterly, or annual data; the data within each time period is calculated and processed to obtain the statistical results for the current time period; S4. Calculate the month-on-month growth rate by comparing the statistical results of the current time period with the statistical results of the previous time period; calculate the year-on-year growth rate by comparing the statistical results of the current time period with the statistical results of the corresponding time period in the previous year. S5. Write the statistical results, month-on-month growth rate, and year-on-year growth rate of the current time period into the report dataset, and associate each statistical data with the corresponding original business data identifier to generate a traceable data structure; S6. Select the graphical display method according to the report type to generate a visual report.

3. The multi-terminal collaborative smart agriculture service system according to claim 1, characterized in that, The inventory transfer operation in the agronomist's mobile app is as follows: S1. Agronomists can view their own agricultural input inventory, as well as the inventory data of their affiliated agricultural service stations and peer agronomists through the inventory transfer unit in the inventory management interface. When their own inventory cannot meet the demand of agricultural input orders, agronomists can select the transfer target, transfer product and transfer quantity on the agronomist mobile terminal, generate inventory transfer application data, and submit the inventory transfer application. S2. The agronomist uploads the inventory transfer application to the platform server from the mobile terminal. The platform server then pushes the inventory transfer application to the mobile terminal of the recipient based on the transfer recipient information. S3. The recipient's mobile device receives the inventory transfer request, views its own inventory data, and if it agrees to the inventory transfer, it performs a confirmation operation, generates transfer confirmation data, and sends the transfer confirmation data back to the platform server. S4. The platform server synchronizes and updates the inventory data of the transferring party and the receiving party based on the transfer confirmation data, and performs inventory transfer processing. S5. The platform server generates inventory transfer records and synchronizes these records to the agronomist's mobile app and the back-end management app.

4. The multi-terminal collaborative smart agriculture service system according to claim 3, characterized in that, The field patrol recording unit selects the corresponding farmer and plot on the field patrol recording interface, executes the field patrol service, generates field patrol information, and submits the field patrol information to the platform server. The platform server receives the field patrol information and generates the corresponding field patrol record. Combined with supplementary field patrol data, it is associated and stored according to the plot identifier and farmer identifier, written into the corresponding plot file, generates a set of historical field patrol data for the plot, and continuously accumulates and updates different field patrol records.

5. The multi-terminal collaborative smart agriculture service system according to claim 4, characterized in that, The farmer's client's field inspection information receiving unit receives the field inspection service reminder initiated by the agronomist's mobile terminal, conducts the field inspection, and sends a service completion notification upon completion of the field inspection, generating a farmer's field inspection record. The farmer's field inspection record is used to supplement or confirm the field inspection record generated by the agronomist, generate supplementary field inspection data, and is associated with and stored with the field inspection record generated by the agronomist's mobile terminal. The environmental monitoring data viewing unit can bind to the intelligent environmental monitoring device by scanning the QR code. After binding, it can obtain the plot temperature, humidity, and light data, as well as the data change curves collected by the intelligent environmental monitoring device in real time.

6. The multi-terminal collaborative smart agriculture service system according to claim 5, characterized in that, The working process of the farmer's client application is as follows: S1. Farmers register and log in to the farmer client using their mobile phone numbers. After logging in, they enter their personal information and land plot information, and upload this information to the platform server. The platform server then creates a farmer identifier based on the farmer information, associates the farmer identifier with the corresponding agronomist identifier, establishes a relationship, and generates farmer profile data. The farmer profile data is synchronized to the personnel management unit in the backend management terminal for centralized management, maintenance, and service relationship configuration of farmer information. S2. The farmer's client receives agricultural input order information forwarded by the platform server, displays the agricultural input order information, generates order confirmation status data based on the farmer's confirmation result and uploads it to the platform server. The platform server synchronizes the order confirmation status data to the order management unit of the backend management terminal to monitor the entire order process and identify abnormal orders. S3. After the agricultural input order is confirmed, the farmer initiates a payment request through the farmer's client and submits it to the platform server. The platform server then calls a third-party payment interface to complete the payment processing. After the payment is completed, payment success data is generated and synchronized to the farmer's client, the agronomist's mobile client, and the back-end management terminal. The order management unit on the back-end management terminal updates the order payment status based on the payment success data and generates order statistical reports based on the order data. The data analysis unit on the back-end management terminal performs statistical analysis on sales and order volume based on the order data and feeds the analysis results back to the farmer's client through the platform server.

7. The multi-terminal collaborative smart agriculture service system according to claim 6, characterized in that, The configurable frequency range is from 1 minute / time to 60 minutes / time; the transmission process of the collected environmental monitoring data includes: the intelligent environmental monitoring device automatically starts after being powered on, collects environmental monitoring data at the set configurable frequency, encapsulates the environmental monitoring data in HEX format, and pushes it to the specified interface of the platform server using the MQTT protocol or HTTP protocol; after receiving the data, the platform server verifies the validity of the intelligent environmental monitoring device ID, and if the verification is successful, stores it in the time-series database and pushes it to the farmer's client and the back-end management terminal in real time; if three consecutive uploads fail, the intelligent environmental monitoring device enters the retry mode.

8. The multi-terminal collaborative smart agriculture service system according to claim 7, characterized in that, Data from the agronomist's mobile app, farmer's client app, backend management app, and intelligent environmental monitoring equipment are all uploaded to the platform server. The platform server uses encryption algorithms to encrypt the data, and the data is synchronized to each terminal in real time. All operations generate operation logs.

9. A multi-terminal collaborative smart agriculture service method, characterized in that, When agricultural order information is received, the following steps are included: Step S1: The farmer's client receives agricultural input product demand information and generates agricultural input product demand request data. The platform server sends the agricultural input product demand request data to the agronomist's mobile terminal and also sends it to the back-end management terminal for storage. Step S2: The agronomist's mobile app receives agricultural input product demand request data forwarded by the platform server, and logs in to the agronomist's mobile app to view agricultural input inventory data; Step S3: The agronomist's mobile app uses agricultural input inventory data to uniformly allocate and update the demand request data for agricultural input products in real time. Step S4: The agronomist's mobile app uploads the generated agricultural input order data to the platform server. The platform server then structures and packages the agricultural input order data and pushes it to the corresponding farmer's client. The farmer's client views and confirms the agricultural input order information on the farmer's client interface, generating order confirmation data which is then uploaded to the platform server. Step S5: After confirming the agricultural input order, the farmer's client initiates a payment request. The platform server calls the third-party payment interface to complete the payment processing and generate payment result data. The agronomist's mobile client schedules delivery based on the completed agricultural input order, generates delivery scheduling information and updates the agricultural input order execution status. After delivery is completed, the delivery confirmation data is uploaded to the platform server. Step S6: The back-end management terminal receives agricultural input order data, inventory transfer data and payment data synchronized from the platform server in real time, summarizes and analyzes the data, and generates visual analysis reports.

10. A multi-terminal collaborative smart agriculture service method, characterized in that, When a field inspection record request is received, the following steps are included: Step S1: The agronomist initiates a field inspection record request on the mobile terminal and uploads the request to the platform server. The platform server parses and distributes the field inspection record request, and pushes it to the backend management terminal and the farmer's client simultaneously; the intelligent environmental monitoring equipment collects environmental factor data and generates environmental monitoring data. Step S2: The backend management terminal receives the field patrol record request and environmental monitoring data synchronized from the platform server, performs statistical analysis and processing on the environmental monitoring data, generates environmental change trend data and abnormal fluctuation analysis results, and performs unified management and display of the environmental status of each plot. Step S3: After logging into the agronomist mobile app, load the information of the farmers under your jurisdiction and the corresponding plot information. Based on the environmental monitoring data and plot file information synchronized by the platform server, determine the target plot for field inspection and the field inspection task. During the field inspection, retrieve environmental monitoring data in real time to help judge the crop growth status. Step S4: After the agronomist arrives at the target plot with the agronomist's mobile device, he performs on-site field inspection through the field inspection record unit, generates field inspection record data, and uploads it to the platform server; after receiving the field inspection reminder information pushed by the platform server, the farmer's client performs supplementary field inspection operations according to the reminder, supplements the actual management status of the plot, generates supplementary field inspection record data, and uploads it to the platform server. Step S5: The platform server will merge the supplementary field patrol record data with the field patrol record data, and store them in association according to the plot identifier and farmer identifier, and write them into the corresponding plot file to generate a set of historical field patrol data for the plot. Step S6: The back-end management terminal performs unified summary and analysis on the field patrol record data, supplementary field patrol record data and environmental monitoring data, and generates a field patrol statistical report.

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