CN111861773A - Agricultural information big data service system - Google Patents
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- CN111861773A CN111861773A CN202010471877.4A CN202010471877A CN111861773A CN 111861773 A CN111861773 A CN 111861773A CN 202010471877 A CN202010471877 A CN 202010471877A CN 111861773 A CN111861773 A CN 111861773A
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Abstract
The invention discloses an agricultural information big data service system, and belongs to the technical field of agricultural information. The system comprises a user side and a platform side, wherein the user side is used for providing service for a user, the platform side is used for analyzing and processing data, the user side and the platform side are in wireless connection, and the platform side comprises an exchange module for providing online exchange, a consultation module for providing online consultation, a management module for managing the user and the data and a training module for providing online training. Modern technologies such as big data and cloud computing are adopted, existing network resources are automatically collected, the dynamic trend of supply and demand and the dynamic trend of price of agricultural machinery, agricultural implements, pesticides, agricultural fertilizers and agricultural products and the like are comprehensively analyzed, the national supply and demand distribution is realized, the supply and demand conditions in the next year are predicted, the quantitative basis is provided for agricultural production and circulation, and the efficient development of agriculture is promoted.
Description
Technical Field
The invention belongs to the technical field of agricultural information, and particularly relates to an agricultural information big data service system.
Background
Agriculture is the foundation of national economy, and with the improvement of agricultural industrialization and scale level, and the increasingly wide application of internet of things technology, cloud computing technology, big data technology, geographic information system, remote sensing and global positioning system technology in the agricultural field, the traditional agricultural cultivation mode gradually exposes some deficiencies, mainly embodies: first, agricultural information islands are severe. The agricultural department manages in different strips, most of department application systems are vertical system structures and isolated systems, and the information sharing degree is low; secondly, the comprehensive utilization rate of data is not high. Agricultural data relates to a plurality of data types, inconsistent data structures, uneven data quality, large workload of data analysis and arrangement and low comprehensive utilization rate of data; third, the market offer information is asymmetric. Agricultural products are greatly influenced by the market, but farmers have limited market information acquisition, and are difficult to master the latest market information in time, so that information between agricultural producers and consumers is disconnected. Fourth, the management is extensive. Agricultural production in China is scattered, agricultural related data is difficult to acquire and analyze, accuracy, high efficiency and timely processing are difficult to achieve, and agricultural decision making is not accurate.
The above disadvantages of the conventional agricultural cultivation mode lead the conventional agricultural information system to be unable to solve the following problems, which can be solved only by adopting the integration of modern information technologies such as internet of things, cloud computing, big data and 3S technology with agriculture: firstly, how to realize data sharing and exchange among agricultural departments and other government departments and achieve the purpose of information interconnection and intercommunication among the departments; secondly, a scientific decision is made according to agricultural product market information and weather meteorological information to guide farmers to reasonably plant crops, so that the phenomena of 'valuable and non-marketable' or 'valuable and non-marketable' are avoided, and the balance of supply and sale of agricultural products is realized; thirdly, how to effectively monitor the crop environment through the sensor of the internet of things to realize the optimal growth environment for the crop growth and scientifically fertilize the crops, so that the crops obtain relatively high yield, and the income of farmers is increased; fourthly, identifying the agricultural products and the input products through two-dimensional codes, bar codes and the like, and realizing effective management and quality safety tracing of the agricultural products and the input products; and fifthly, how to utilize the Internet to develop agricultural e-commerce and agricultural leisure travel helps farmers to widen agricultural product sales channels and solve the problems of agricultural product sale delay and income increasing approach.
In view of the above, it is necessary to provide scientific basis and assistant decision for agricultural departments and leaders of governments, provide a public information service platform for agricultural departments, agricultural-related enterprises and masses, and cover an intelligent agricultural big data service platform for efficient management and application of all-chain data of agricultural production, management, sales and services. Through modern technical means, relevant data such as agricultural production data, agricultural product supply and demand information, agricultural technical information, agricultural resource information and the like are integrated through 'cloud storage', and through 'cloud computing' analysis, big data are classified and processed to obtain corresponding analysis data for guiding agricultural production development and agricultural product sales. The remote information technology service is realized through a platform 'virtual cloud classroom', and the problem of basic-level technology shortage is effectively solved. The project is mainly built around cloud farmers 'exhibition halls, cloud farmers' P2P experts, virtual cloud classrooms, agriculture video, cloud farmers 'quick searches, cloud farmers' decisions and the like.
Disclosure of Invention
1. Technical problem to be solved by the invention
The invention aims to solve the problem that data cooperative processing is difficult to perform through a cloud in the existing agricultural production.
2. Technical scheme
In order to achieve the purpose, the technical scheme provided by the invention is as follows:
the agricultural information big data service system comprises a user side and a platform side, wherein the user side is used for providing services for users, the platform side is used for analyzing and processing data, the user side and the platform side are in wireless connection, and the platform side comprises an communication module for providing online communication, a consultation module for providing online consultation, a management module for managing the users and the data and a training module for providing online training.
Preferably, the management module is further connected with a database, and the database is used for storing data.
Preferably, the database is connected with a retrieval module and an information collection module, the information collection module is used for collecting agricultural product information, agricultural technical expert resources and policy information related to agriculture, the information collection module stores the collected data in the database, and the retrieval module is used for retrieving the data stored in the database.
Preferably, the communication module includes an information display unit and a service docking unit, the information display unit is used for displaying the demand information, and the service docking unit is used for docking the service.
Preferably, the service docking unit includes the following functional sub-modules: the system comprises a release base, a release demand, order management, a release enterprise and a release supply, wherein the order management is used for managing business orders and monitoring order progress, and the release base, the release demand release enterprise and the release supply are used for releasing demand or supply information by a user.
Preferably, the training module comprises functional sub-modules for teaching, giving lessons, managing students, registering and the like.
Preferably, the issuing demand comprises issuing agricultural machinery, agricultural tools, agricultural fertilizers and agricultural product demands, and the issuing supply is used for issuing agricultural machinery, agricultural tools, agricultural fertilizers and agricultural product supplies.
Preferably, the information display unit comprises a consultation and price inquiry functional sub-module for agricultural product display, agricultural implement product display, agricultural fertilizer product display and agricultural product display.
Preferably, the order management module comprises a base order and product order function sub-module, and the base order function sub-module comprises the functions of production tracking, finished delivery, acceptance and acceptance, transaction evaluation, historical delivery and the like.
Preferably, the product order function sub-module comprises functions of price changing, delivery, pick-up and evaluation.
3. Advantageous effects
Compared with the prior art, the technical scheme provided by the invention has the following beneficial effects:
the invention relates to an agricultural information big data service system. The system comprises a user side and a platform side, wherein the user side is used for providing service for a user, the platform side is used for analyzing and processing data, the user side and the platform side are in wireless connection, and the platform side comprises an exchange module for providing online exchange, a consultation module for providing online consultation, a management module for managing the user and the data and a training module for providing online training. . Modern technologies such as big data and cloud computing are adopted, existing network resources are automatically collected, the dynamic trend of supply and demand and the dynamic trend of price of agricultural machinery, agricultural implements, pesticides, agricultural fertilizers and agricultural products and the like are comprehensively analyzed, the national supply and demand distribution is realized, the supply and demand conditions in the next year are predicted, the quantitative basis is provided for agricultural production and circulation, and the efficient development of agriculture is promoted.
Drawings
Fig. 1 is a schematic structural diagram of an agricultural information big data service system according to the present invention.
The reference numerals in the schematic drawings illustrate:
100. a user side; 200. a platform end; 210. an alternating current module; 211. an information display unit; 212. a service docking unit; 213. a release base; 214. issuing a demand; 215. order management; 216. a publishing enterprise; 217. publishing the supply; 220. a consultation module; 230. a management module; 240. a training module; 250. a database; 260. an information collection module; 270. and a retrieval module.
Detailed Description
In order to facilitate an understanding of the invention, the invention will now be described more fully hereinafter with reference to the accompanying drawings, in which several embodiments of the invention are shown, but which may be embodied in many different forms and are not limited to the embodiments described herein, but rather are provided for the purpose of providing a more thorough disclosure of the invention.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present; when an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present; the terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs; the terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention; as used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Example 1
Referring to fig. 1, the agricultural information big data service system of the embodiment includes a user terminal 100 and a platform terminal 200, the user terminal 100 is used for providing services for users, the platform terminal 200 is used for analyzing and processing data, the user terminal 100 and the platform terminal 200 are connected wirelessly, and the platform terminal 200 includes a communication module 210 for providing online communication, a consultation module 220 for providing online consultation, a management module 230 for managing users and data, and a training module 240 for providing online training. The management module 230 is further connected to a database 250, and the database 250 is used for storing data. The database 250 is connected with a retrieval module 270 and an information collection module 260, the information collection module 260 is used for collecting agricultural product information, agricultural technical expert resources and policy information related to agriculture, and the information collection module 260 also collects data such as supply, demand, transaction amount, physical characteristics of agricultural products, geographical climate and environmental conditions and the like, so that agricultural production and marketing butt joint, agricultural production prediction, production and marketing distribution analysis and agricultural high-efficiency development promotion can be realized. The information collection module 260 stores the collected data in the database 250, and the retrieval module 270 is used for retrieving the data stored in the database 250. Modern technologies such as big data and cloud computing are adopted, existing network resources are automatically collected, the dynamic trend of supply and demand and the dynamic trend of price of agricultural machinery, agricultural implements, pesticides, agricultural fertilizers and agricultural products and the like are comprehensively analyzed, the national supply and demand distribution is realized, the supply and demand conditions in the next year are predicted, the quantitative basis is provided for agricultural production and circulation, and the efficient development of agriculture is promoted.
The communication module 210 of this embodiment includes an information presentation unit 211 and a service docking unit 212, where the information presentation unit 211 is used to present the requirement information, and the service docking unit 212 is used to dock the service. The service docking unit 212 includes the following functional sub-modules: a post base 213, post demand 214, order management 215, post enterprise 216, and post supply 217, the order management 215 for managing business orders and monitoring order progress, the post base 213, post demand 214 post enterprise 216, and post supply 217 for user post demand or supply information. The release requirements 214 include release agricultural machinery, agricultural implements, agricultural fertilizers, and agricultural product requirements, and the release supply 217 is used for releasing agricultural machinery, agricultural implements, agricultural fertilizers, and agricultural product supplies. The information display unit 211 comprises consulting and price inquiring functional sub-modules for agricultural product display, agricultural fertilizer product display and agricultural product display, the order management 215 comprises a base order and product order functional sub-module, and the base order functional sub-module comprises functions of production tracking, delivery completion, acceptance check, transaction evaluation, historical transaction, and the like. The product order function sub-module comprises functions of price changing, delivery, goods signing, evaluation and the like.
The training module 240 of the present embodiment includes functional sub-modules for teaching, giving lessons, student management, and registration.
By providing free display space and sale channels for breeders, cooperative agencies and agricultural processing enterprises, providing services such as agricultural technical data, expert consultation, expert training and the like, absorbing a large amount of agricultural-related data, introducing a large amount of experts into a platform continuously, establishing services such as expert face-to-face interaction and expert cloud training, enabling the breeders, the cooperative agencies and the agricultural processing enterprises to solve problems in the production process in time and improving the yield, thereby attracting more producers to stay in the platform, driving suppliers such as agricultural machinery, farm implements, pesticides and agricultural fertilizers to stay in the platform and releasing supply data, cooperating with mechanisms such as wholesale markets of large agricultural products and supermarkets, acquiring sales data and demand data of the producers and the like, and acquiring climate data of various regions such as rainfall, air humidity, air temperature and the like to influence environmental factor data of products in the same season by using an automatic means, and a big data analysis method is used for analyzing supply distribution, supply dynamic, price trend, price distribution, price dynamic, demand distribution, demand trend, demand dynamic, forecasting yield distribution demand situation in the next year and the like, thereby providing referential guidance and basis for decision-making marketing schemes or production schemes of breeding farmers, cooperative companies, agricultural processing enterprises, agricultural machinery, agricultural implements, agricultural fertilizers and pesticide suppliers.
Finally, the suppliers and experts of platforms, breeding farmers, cooperative agencies, agricultural processing enterprises, agricultural machinery, agricultural tools, agricultural fertilizers, pesticides and the like form a benign agricultural ecosphere, the platform residents provide data sources for the platform decision analysis charts, and various services and big data analysis decision services of the platforms attract more farmers or institutions to stay in the platforms.
The above-mentioned embodiments only express a certain implementation mode of the present invention, and the description thereof is specific and detailed, but not construed as limiting the scope of the present invention; it should be noted that, for those skilled in the art, variations and modifications can be made without departing ┅ from the inventive concept, which falls within the scope of the invention; therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. The agricultural information big data service system is characterized in that: the online consultation system comprises a user side (100) and a platform side (200), wherein the user side (100) is used for providing services for users, the platform side (200) is used for analyzing and processing data, the user side (100) and the platform side (200) are connected in a wireless mode, and the platform side (200) comprises a communication module (210) used for providing online communication, a consultation module (220) used for providing online consultation, a management module (230) used for managing the users and the data and a training module (240) used for providing online training.
2. The agricultural information big data service system according to claim 1, wherein: the management module (230) is also connected with a database (250), and the database (250) is used for storing data.
3. The agricultural information big data service system according to claim 2, wherein: the database (250) is connected with a retrieval module (270) and an information collection module (260), the information collection module (260) is used for collecting agricultural product information, agricultural technical expert resources and policy information related to agriculture, the information collection module (260) stores the collected data in the database (250), and the retrieval module (270) is used for retrieving the data stored in the database (250).
4. The agricultural information big data service system according to claim 1, wherein: the communication module (210) comprises an information display unit (211) and a service docking unit (212), wherein the information display unit (211) is used for displaying the requirement information, and the service docking unit (212) is used for docking the service.
5. The agricultural information big data service system according to claim 4, wherein the business docking unit (212) comprises the following functional sub-modules: the system comprises a release base (213), a release demand (214), an order management (215), a release enterprise (216) and a release supply (217), wherein the order management (215) is used for managing business orders and monitoring order progress, and the release base (213), the release demand (214), the release enterprise (216) and the release supply (217) are used for releasing demand or supply information by users.
6. The agricultural information big data service system according to claim 1, wherein: the training module (240) comprises a lesson opening function sub-module, a lesson giving function sub-module, a student management sub-module and an entry function sub-module.
7. The agricultural information big data service system according to claim 5, wherein: the issuing demand (214) comprises issuing agricultural machinery, agricultural implements, agricultural fertilizers and agricultural product demands, and the issuing supply (217) is used for issuing agricultural machinery, agricultural implements, agricultural fertilizers and agricultural product supplies.
8. The agricultural information big data service system according to claim 4, wherein: the information display unit (211) comprises consultation and price inquiry functional sub-modules for agricultural machinery product display, agricultural implement product display, agricultural fertilizer product display and agricultural product display.
9. The agricultural information big data service system according to claim 5, wherein: the order management (215) includes a base order and product order function sub-module that includes production tracking, finished delivery, accepted acceptance, transaction evaluation, and historical return functions.
10. The agricultural information big data service system according to claim 9, wherein: the product order function sub-module comprises price changing, delivery, pick-up and evaluation functions.
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| CN202010471877.4A CN111861773A (en) | 2020-05-29 | 2020-05-29 | Agricultural information big data service system |
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| CN202010471877.4A CN111861773A (en) | 2020-05-29 | 2020-05-29 | Agricultural information big data service system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112395540A (en) * | 2020-11-27 | 2021-02-23 | 郑州数农通大数据科技有限公司 | Germplasm resource information sharing service system based on big data |
| CN113643052A (en) * | 2021-04-21 | 2021-11-12 | 西安农链互联网科技有限公司 | Agricultural production and marketing information sharing service system based on big data analysis |
-
2020
- 2020-05-29 CN CN202010471877.4A patent/CN111861773A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112395540A (en) * | 2020-11-27 | 2021-02-23 | 郑州数农通大数据科技有限公司 | Germplasm resource information sharing service system based on big data |
| CN113643052A (en) * | 2021-04-21 | 2021-11-12 | 西安农链互联网科技有限公司 | Agricultural production and marketing information sharing service system based on big data analysis |
| CN113643052B (en) * | 2021-04-21 | 2023-11-14 | 西安农链互联网科技有限公司 | Agricultural production and marketing information sharing service system based on big data analysis |
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