CN116245469A - Agricultural big data multiple fusion supervision system - Google Patents

Agricultural big data multiple fusion supervision system Download PDF

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CN116245469A
CN116245469A CN202211579999.0A CN202211579999A CN116245469A CN 116245469 A CN116245469 A CN 116245469A CN 202211579999 A CN202211579999 A CN 202211579999A CN 116245469 A CN116245469 A CN 116245469A
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李露林
陈果
周婷
杨帆
奉彩霞
刘罡
彭帅
王艳超
王珍琪
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Guizhou Aerospace Intelligent Agriculture Co ltd
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Abstract

The embodiment of the application discloses an agricultural big data multi-element fusion supervision system which is used for improving the agricultural production and sales efficiency. The embodiment of the application comprises an agricultural big data center, an agricultural data resource management platform, an agricultural decision analysis platform and a full-industry digital platform; the agricultural big data center is connected with the agricultural data resource management platform, the agricultural decision analysis platform and the all-industry digital platform through a network; the agricultural big data center comprises a display module, a production guidance module, a circulation sales module, an agricultural service module and a brand creation module; the display module is used for displaying key data in the production and sales process; the production guidance module is used for carrying out data statistics in the production process of crops and monitoring the production process of the crops; the circulation sales module is used for monitoring the sales links of crops; the agricultural service module is used for providing training guidance for users; the brand creation module stores at least two sets of brand creation schemes.

Description

Agricultural big data multiple fusion supervision system
Technical Field
The embodiment of the application relates to the technical field of agricultural big data, in particular to an agricultural big data multi-element fusion supervision system.
Background
In the prior art, the agricultural production and sales links are basically carried out completely by manpower, digital management is not introduced, and the efficiency is quite low.
Disclosure of Invention
The embodiment of the application provides an agricultural big data multi-element fusion supervision system which can improve the agricultural production and sales efficiency.
The first aspect of the embodiment of the application provides an agricultural big data multi-element fusion supervision system, which comprises an agricultural big data center, an agricultural data resource management platform, an agricultural decision analysis platform and a full-industry digital platform;
the agricultural big data center is connected with the agricultural data resource management platform, the agricultural decision analysis platform and the all-industry digital platform through a network; the agricultural big data center comprises a display module, a production guidance module, a circulation sales module, an agricultural service module and a brand creation module;
the display module is used for displaying key data in the production and sales process; the production guidance module is used for carrying out data statistics in the production process of crops and monitoring the production process of the crops; the circulation sales module is used for monitoring the sales links of crops; the agricultural service module is used for providing training guidance for users; the brand creation module stores at least two sets of brand creation schemes.
Optionally, the agricultural data resource management platform stores an agricultural data resource map, and the agricultural data resource map includes agricultural rural basic data information.
Optionally, the agricultural data resource management platform comprises an administrative region information resource management module, a land resource management module, a water resource management module, a population resource management module, a historical meteorological data management module, a crop resource management module, an agricultural main body management module, a modern agricultural facility management module, an agricultural policy file management module, an agricultural project management module and an infrastructure resource management module;
the administrative area information resource management module, the land resource management module, the water resource management module, the population resource management module, the historical meteorological data management module, the crop resource management module, the agricultural main body management module, the modern agricultural facility management module, the agricultural policy file management module and the agricultural project management module provide the agricultural data resource map with the agricultural rural basic data information.
Optionally, the agricultural decision analysis platform comprises a big data analysis modeling platform;
the big data analysis modeling platform is used for establishing mathematical models of crop estimation, weather prediction, planting decision, price analysis, public opinion analysis and plant diseases and insect pests prediction.
Optionally, the big data analysis modeling platform is based on a machine learning and deep learning model provided by a third party training platform.
Optionally, the agricultural decision analysis platform further comprises a big data platform operation system;
the big data platform operation system is used for providing supply and demand information for users.
Optionally, the big data platform operation system comprises a user management module, an information release module and an agricultural product public opinion module;
the user management module is used for managing roles and rights of users; the information release module is used for releasing policy information and agricultural training information; the agricultural product public opinion module is used for grabbing agricultural product public opinion.
Optionally, the whole industry chain digital platform comprises an agricultural product production management platform, an agricultural product circulation and sales platform, an agricultural product socialization service platform, an Internet of things management and control system, a weather monitoring system, a plant disease and insect pest prediction system, a quality tracing system and an agricultural product market acquisition system.
Optionally, the agricultural big data multi-element fusion supervision system further comprises an intelligent terminal, wherein the terminal is only used for accessing the agricultural big data center, the agricultural data resource management platform, the agricultural decision analysis platform and/or the full-industry digital platform.
From the above technical solutions, the embodiments of the present application have the following advantages:
the agricultural big data multi-element fusion supervision system comprises an agricultural big data center, wherein the agricultural big data center comprises a display module, a production guidance module, a circulation sales module, an agricultural service module and a brand creation module, the display module can display key data of a production sales process, the production guidance module can carry out data statistics in a crop production process and monitor the production process of crops, the circulation sales module can monitor the sales links of the crops, the agricultural service module is used for providing training guidance for users, and the brand creation module can provide brand creation schemes for the users. The agricultural big data multi-element fusion supervision system in the embodiment of the application covers the contents of agricultural training guidance, agricultural production, agricultural sales and brand creation, and is beneficial to improving the efficiency of agricultural production sales.
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FIG. 1 is a schematic diagram of an embodiment of an agricultural big data multi-element fusion monitoring system according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of another embodiment of an agricultural big data multi-fusion supervision system according to an embodiment of the present application.
Detailed Description
The embodiment of the application provides an agricultural big data multi-element fusion supervision system which is used for improving the agricultural production and sales efficiency.
Embodiments in the present application will be described below with reference to the accompanying drawings.
Referring to fig. 1, an embodiment of an agronomic big data multiple fusion monitoring system in an embodiment of the present application includes:
the system comprises an agricultural big data center 1, an agricultural data resource management platform 2, an agricultural decision analysis platform 3 and a full-industry digital platform 4; the agricultural big data center 1 is connected with an agricultural data resource management platform 2, an agricultural decision analysis platform 3 and a full-industry digital platform 4 through a network; the agricultural big data center 1 comprises a display module 101, a production guidance module 102, a circulation sales module 103, an agricultural service module 104 and a brand creation module 105; the display module 101 is used for displaying key data in the production and sales process; the production guidance module 102 is used for carrying out data statistics in the crop production process and monitoring the crop production process; the circulation sales module 103 is used for monitoring the sales links of crops; the agricultural service module 104 is used for providing training guidance for users; the brand creation module 105 holds at least two sets of brand creation schemes.
In this embodiment, the agricultural big data multi-element fusion supervision system includes an agricultural big data center 1, and the agricultural big data center 1 includes a display module 101, a production guiding module 102, a circulation selling module 103, an agricultural service module 104 and a brand creating module 105, the display module 101 can display key data of a production selling process, the production guiding module 102 can perform data statistics in a crop production process and monitor the production process of the crop, the circulation selling module 103 can monitor the selling link of the crop, the agricultural service module 104 is used for providing training guidance for a user, and the brand creating module 105 can provide a brand creating scheme for the user. The agricultural big data multi-element fusion supervision system in the embodiment of the application covers the contents of agricultural training guidance, agricultural production, agricultural sales and brand creation, and is beneficial to improving the efficiency of agricultural production sales.
Referring to fig. 2, another embodiment of the industrial big data multiplex fusion supervision system in the embodiment of the present application includes:
the system comprises an agricultural big data center 1, an agricultural data resource management platform 2, an agricultural decision analysis platform 3 and a full-industry digital platform 4; the agricultural big data center 1 is connected with an agricultural data resource management platform 2, an agricultural decision analysis platform 3 and a full-industry digital platform 4 through a network; the agricultural big data center 1 comprises a display module 101, a production guidance module 102, a circulation sales module 103, an agricultural service module 104 and a brand creation module 105; the display module 101 is used for displaying key data in the production and sales process; the production guidance module 102 is used for carrying out data statistics in the crop production process and monitoring the crop production process; the circulation sales module 103 is used for monitoring the sales links of crops; the agricultural service module 104 is used for providing training guidance for users; the brand creation module 105 holds at least two sets of brand creation schemes.
In this embodiment, the agricultural big data multi-element fusion supervision system further includes an intelligent terminal 5. The agricultural data resource management platform 2 stores an agricultural data resource map including agricultural rural basic data information. The agricultural data resource management platform 2 includes an administrative area information resource management module 201, a land resource management module 202, a water resource management module 203, a population resource management module 204, a historical meteorological data management module 205, a crop resource management module 206, an agricultural main body management module 207, a modern agricultural facility management module 208, an agricultural policy file management module 209, an agricultural project management module 210, and an infrastructure resource management module 211. The agricultural decision analysis platform 3 includes a big data analysis modeling platform 301. The big data analysis modeling platform 301 is based on a machine learning and deep learning model provided by a third party training platform. The agricultural decision analysis platform 3 also includes a big data platform operation system 302. The big data platform operation system 302 includes a user management module 3021, an information release module 3022, and an agricultural product public opinion module 3023. The full-industry digital platform 4 comprises an agricultural product production management platform 401, an agricultural product circulation and sales platform 402, an agricultural product socialization service platform 403, an internet of things management and control system 404, a weather monitoring system 405, a plant disease and insect pest prediction system 406, a quality tracing system 407 and an agricultural product market acquisition system 408.
The intelligent terminal 5 is used for accessing the agricultural big data center 1, the agricultural data resource management platform 2, the agricultural decision analysis platform 3 and/or the full-industry digital platform 4.
Administrative district information resource management module 201, land resource management module 202, water resource management module 203, population resource management module 204, historical meteorological data management module 205, crop resource management module 206, agricultural main management module 207, modern agricultural facilities management module 208, agricultural policy file management module 209, and agricultural project management module 210 provide agricultural data resource map with agricultural rural basic data information.
The big data analysis modeling platform 301 is used to build mathematical models for crop estimation, weather prediction, planting decision, price analysis, public opinion analysis, and pest and disease prediction.
The big data platform operation system 302 is used to provide the supply and demand information to the user.
The user management module 3021 is used for managing roles and rights of users; the information release module 3022 is used for releasing policy information and agricultural training information; the agricultural product public opinion module 3023 is used for capturing agricultural product public opinion.
The agricultural product production management platform 401 is based on the actual production flow of the agricultural main body, combines the standardized production flow specification, builds the production management platform of the agricultural main body, digitally manages production plans, agricultural production data, agricultural operations, staff and the like, and can conveniently manage agricultural implementation and production conditions in real time through the mobile terminal. The agricultural product production management platform 401 accumulates the base data for production archives and product traceability. Agricultural product production management platform 401 may specifically include:
land parcel management, wherein land parcel is basic data of a platform, and growth vigor, agriculture and other factors need to be based on land parcel information. The land parcel management supports the cultivation attribute management of the crop land parcel, supports the functions of dividing the crop planting area and calculating the area, and a user can add or delete any land parcel in a scribing mode or a field measurement mode. Operators, planting types, plant protection schemes, agronomic schemes, etc. can be marked for each plot.
And the agricultural management module can be used for specifying a base work plan, determining the relationship among personnel, land parcels, crops and operation tasks and setting time nodes. The system automatically sends a task notification to the staff to remind the staff to finish the work. Meanwhile, staff can upload task completion conditions through the mobile terminal, submit operation records or apply for operation plans.
The farming tasks may be automatically generated from the issued health professional packages.
And (3) management of input products, namely, managing various input products required by a base, including seeds, pesticides, fertilizers and the like, registering related information of input product types, manufacturers, goods suppliers, product models, prices, quantity and the like, and managing inventory, and managing warehouse-out, warehouse-in and inventory-in information. And the production risk caused by the fact that products which do not accord with the supervision regulation of agricultural materials are purchased by mistake is avoided. And provides basis for the later agricultural investment accounting.
Farm management is used for managing the main body information of a farm main body, namely a park area, basic information of the farm main body, total investment, agricultural facilities, main crops, operation modes and the like.
The farm map is used for providing GIS-based farm map services for agricultural subjects and displaying the space data such as basic farm information, farmland distribution information, crop distribution, agricultural facility distribution and the like through one map. The detailed information of each base can be visually checked through the farm map, and digital management is realized.
The agricultural product planting management expert package is characterized in that the functional module is custom-developed for the overall planting plan management of government institutions, and mainly the government institutions can issue the optimal planting management expert package to the agricultural product planting enterprises in the whole area, and the system can automatically generate tasks and plans according to the expert package, so that the planting enterprises in the whole area can conveniently conduct comprehensive planting activities by taking policies as guidance.
And displaying remote sensing information, namely displaying the remote sensing image after analysis, such as area measurement, yield estimation, growth analysis and the like.
The harvesting progress is mainly used for counting the respective harvesting conditions of the agricultural main bodies, is a function for carrying out allowance analysis by combining with agricultural task plans and remote sensing estimated products in a production management platform, and is convenient for farmers to arrange the agricultural plans in the later period by taking analysis results as references and comparing the picked data.
And (3) local inventory, counting the yield inventory of agricultural products picked by planting farmers, and combining the harvesting progress, so that the farmers can sell outwards and arrange a picking plan according to sales quotations.
The sales management function is mainly combined with the agricultural product circulation sales platform, can assist farmers to analyze sales prices according to sales quotations, acquire profits and know sales objects, and supports a report statistics function. In addition, a historical sales record checking and counting function is supported.
The agricultural product circulation enterprises can perform agricultural product purchasing management, inventory management and sales management through the agricultural product circulation sales platform 402, and provide market data of the sales areas of the production areas, so as to help the enterprises to make market strategies, purchasing plans and the like. Wherein:
and the purchasing management is used for providing purchasing management application for enterprise purchasing staff, the purchasing staff can conveniently record the time, place, product information, specification, quantity and price of each purchasing, record purchasing object main body information, and provide a multi-dimensional statistical report function in the background at the same time, so that historical purchasing data is analyzed.
And (3) inventory management, namely providing a mobile terminal inventory management application, helping warehouse management personnel record the information of warehousing, ex-warehouse and inventory checking of each fruit, and automatically generating an inventory report.
Sales management is convenient for each port to fill and collect sales information every day. And simultaneously provides a statistical report function.
The agricultural product socialization service platform 403, the socialization service system provides an internet +' tool for agricultural production service by building a comprehensive system platform with services such as agricultural technology training, media docking, production service docking, project declaration management and the like as an important point. Wherein:
the agricultural technology online training is realized, and the functions of video uploading, online watching time statistics and the like are realized by the agricultural supervision department through uploading training videos by the agricultural technology training system.
And the media service enables the agricultural product grower to apply for live selling of the appointed agricultural product through the platform, and the platform is in butt joint with a local live operation constructor to provide preferential price for live selling.
The agricultural production service is used for arranging high-quality agricultural production service institutions, including agricultural resource suppliers, unmanned aerial vehicle plant protection operation organizations, facility agriculture constructors, agricultural product buyers, logistics enterprises and the like.
Financial services, providing third party agricultural loan products, including agricultural loans, land circulation loans, agricultural machine loans, etc., to industry customers. The specific product is determined according to the type of the third party product. Meanwhile, third-party agricultural insurance products including safety insurance, disaster insurance and the like are provided for the seed culture industry.
The internet of things management and control system 404 manages the internet of things devices in the jurisdiction, and can realize timing and fixed-point management and control operations of different devices. The device management supports unified query and new addition of agricultural Internet of things heterogeneous devices, can query according to different device types and states, and dynamically sets device attributes and configurations according to different device types when the devices are newly added. The device grouping management designates different groupings for the devices, and realizes batch management operation of different grouping devices. And the unified control requirements of base, farm and land parcel equipment are met. Device type management is a categorical presentation of platform access devices. The device alarms, which support automatic detection of the working state of the devices of the Internet of things, timely find out the devices with abnormal work, and send alarm information to a system administrator and a user. Protocol management, the module supports access of heterogeneous devices, and for new protocols, the platform can also support through a plug-in mechanism. The device monitoring, the user views the real-time data and the current state of all devices under the device monitoring, can view the position overview of all devices, and can view the detail data of one device. The intelligent control realizes automatic remote control, and a planting manager can log in the cloud platform through a computer or a mobile phone at any time and any place to realize control of field equipment.
The weather monitoring system 405 obtains high-precision time, space real-time and forecast weather data, including information such as weather disasters, through the weather station and the API interface, and issues an alarm in time. And acquiring accurate weather forecast in a range of 5 kilometers for 72 hours through an API (application program interface), wherein the prediction model is based on a grid computing and deep learning algorithm. When an abnormal situation occurs, the system can send out pre-alarm information in various modes to prompt the manager to pay attention to the alarm point or take necessary precautions.
The plant disease and insect pest prediction system 406 performs crop plant disease and insect pest monitoring and prediction integrated with the space, the land and the air by using an agricultural remote sensing technology and an intelligent plant disease and insect pest picture recognition technology, and provides green prevention and control application for production management of different agricultural production bodies and different agricultural planting bases. And the remote insect condition analysis, observation and report show that the collected insect images can be transmitted to a big data platform under the condition of no supervision, and the images are identified and analyzed for the expert to remotely diagnose and send effective early warning. And predicting and displaying the plant diseases and insect pests, wherein a geographical information technology is utilized to display a prediction result, and different colors are used for displaying the prediction conditions of the plant diseases and insect pests of the land. In addition, according to the result of analyzing the insect condition measuring and reporting lamp, the captured insect body photo can be checked on line.
The quality tracing system 407 is mainly used for collecting and managing agricultural product tracing information, recording agricultural product production standards and circulation processes, and effectively displaying information such as enterprise related production qualification, authentication conditions and the like to consumers and administrative departments. The method mainly covers basic data, input article management, production management and report statistics. The basic information management is mainly used for managing information such as enterprise information management, product information, employee record information, production standard information, land parcel management, input product information and the like related to agricultural products. The basic traceability information management includes various information related to the agricultural product production process, including planting management information, preliminary processing information, sales information and the like. Inspection management, i.e., quality inspection report before the agricultural products are marketed, including management of enterprise self-inspection, send-inspection and spot-inspection reports. And (3) managing the traceability code, selecting the product generation process information to be displayed, generating a product traceability two-dimensional code, editing the two-dimensional code display information, deleting the two-dimensional code information and the like.
The agricultural product market acquisition system 408 integrates local existing market monitoring system resources, organizes farmers, agricultural product brokers, enterprise buyers, enterprise sales personnel and enterprises to use market informatizers, and realizes quick reporting of market data through mobile intelligent terminals or WeChat applets so as to realize daily and gradual monitoring. Meanwhile, main domestic agricultural market data and online transaction data are monitored through technical means or third party data resources. The market report monitoring points are divided into a production area, circulation, a port and agricultural lots, and the information staff reports the agricultural product transaction related data of each monitoring point every day through the mobile intelligent terminal, wherein the agricultural product transaction related data comprise data such as places, varieties, specifications, prices, sales volume, stock, yield estimation, price expectation and the like. In addition, the online data acquisition obtains the price quotation of the main agricultural products through technical means or third party data resources.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (RAM, random access memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

Claims (9)

1. The agricultural big data multi-element fusion supervision system is characterized by comprising an agricultural big data center, an agricultural data resource management platform, an agricultural decision analysis platform and a full-industry digital platform;
the agricultural big data center is connected with the agricultural data resource management platform, the agricultural decision analysis platform and the all-industry digital platform through a network; the agricultural big data center comprises a display module, a production guidance module, a circulation sales module, an agricultural service module and a brand creation module;
the display module is used for displaying key data in the production and sales process; the production guidance module is used for carrying out data statistics in the production process of crops and monitoring the production process of the crops; the circulation sales module is used for monitoring the sales links of crops; the agricultural service module is used for providing training guidance for users; the brand creation module stores at least two sets of brand creation schemes.
2. The agricultural big data multi-element fusion supervisory system according to claim 1, wherein the agricultural data resource management platform stores an agricultural data resource map, the agricultural data resource map including agricultural rural basic data information.
3. The agricultural big data multi-fusion supervisory system according to claim 2, wherein the agricultural data resource management platform comprises an administrative area information resource management module, a land resource management module, a water resource management module, a population resource management module, a historical meteorological data management module, a crop resource management module, an agricultural main management module, a modern agricultural facility management module, an agricultural policy file management module, an agricultural project management module, and an infrastructure resource management module;
the administrative area information resource management module, the land resource management module, the water resource management module, the population resource management module, the historical meteorological data management module, the crop resource management module, the agricultural main body management module, the modern agricultural facility management module, the agricultural policy file management module and the agricultural project management module provide the agricultural data resource map with the agricultural rural basic data information.
4. The agricultural big data multiplex fusion supervisory system according to claim 1, wherein the agricultural decision analysis platform comprises a big data analysis modeling platform;
the big data analysis modeling platform is used for establishing mathematical models of crop estimation, weather prediction, planting decision, price analysis, public opinion analysis and plant diseases and insect pests prediction.
5. The agricultural big data multi-fusion supervisory system of claim 4, wherein the big data analysis modeling platform is based on a machine learning, deep learning model provided by a third party training platform.
6. The agricultural big data multiplex fusion supervisory system according to claim 4, wherein the agricultural decision analysis platform further comprises a big data platform operation system;
the big data platform operation system is used for providing supply and demand information for users.
7. The agricultural big data multi-element fusion supervision system according to claim 6, wherein the big data platform operation system comprises a user management module, an information release module and an agricultural product public opinion module;
the user management module is used for managing roles and rights of users; the information release module is used for releasing policy information and agricultural training information; the agricultural product public opinion module is used for grabbing agricultural product public opinion.
8. The agricultural big data multi-element fusion supervision system according to claim 1, wherein the all-industry-chain digital platform comprises an agricultural product production management platform, an agricultural product circulation and sales platform, an agricultural product social service platform, an internet of things management and control system, a weather monitoring system, a plant diseases and insect pests prediction system, a quality tracing system and an agricultural product market acquisition system.
9. The agricultural big data multi-fusion supervisory system according to any of claims 1 to 8, further comprising an intelligent terminal, the terminal only being for accessing the agricultural big data center, the agricultural data resource management platform, the agricultural decision analysis platform and/or the all-industry digital platform.
CN202211579999.0A 2022-12-09 2022-12-09 Agricultural big data multiple fusion supervision system Pending CN116245469A (en)

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CN117236893A (en) * 2023-09-27 2023-12-15 青岛中海环境工程有限公司 System for big data of agricultural Internet of things-based platform is applied to production control

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117236893A (en) * 2023-09-27 2023-12-15 青岛中海环境工程有限公司 System for big data of agricultural Internet of things-based platform is applied to production control
CN117236893B (en) * 2023-09-27 2024-02-09 青岛中海环境工程有限公司 System for big data of agricultural Internet of things-based platform is applied to production control

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