CN112116206A - Intelligent agricultural system based on big data - Google Patents
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Abstract
The invention discloses an intelligent agricultural system based on big data, which comprises an information collection center, an information processing center, an information storage center, a product traceability center, a risk assessment center, an information display center and an information reminding center. According to the intelligent agricultural system based on the big data, the information collection center, the information processing center, the information storage center, the product traceability center, the risk assessment center, the information display center and the information reminding center are matched for use, the big data of the internet of things are used for collecting and processing various data in agricultural production, corresponding identification, early warning, teaching guidance and solutions are provided for various problems encountered by farmers in various links of agricultural production, the yield of crops can be effectively improved, intelligent and automatic monitoring on the growth of the crops is achieved, the burden of farmers can be effectively relieved, and the big data of the agricultural production is really achieved.
Description
Technical Field
The invention relates to the technical field of big data, in particular to the field of intelligent agricultural systems based on big data.
Background
Under the current situation of the advanced development of big data technology, it is an important direction of modern agriculture development to construct an intelligent agriculture system based on big data environment, for example, in the existing chinese patent No. 201910902340.6, an intelligent and automatic agriculture data collection system based on big data is proposed, which has the advantages of calculating the influence of different environmental data on the growth cycle of crops according to the collection of different data in the environment, accurately calculating the growth cycle of crops under the current environmental factors, not requiring farmers to go to the field to observe the maturity of crops, selecting the best and appropriate harvesting time according to the weather change of the harvesting time point, effectively avoiding the influence of human judgment error on the crop yield, but the intelligent agriculture system should not only be used in the harvesting link of crops, but also be used for helping farmers identify and solve plant diseases and insect pests, In order to solve the above problems, we propose an intelligent agriculture system based on big data.
Disclosure of Invention
The invention mainly aims to provide an intelligent agricultural system based on big data, which can effectively solve the problems in the background technology: the intelligent agricultural system is not only used in the harvesting link of crops, but also used in a plurality of links such as helping farmers identify and solve plant diseases and insect pests, selling and providing intelligent agricultural risk assessment for the farmers, and thus a complete intelligent agricultural system can be formed.
In order to achieve the purpose, the invention adopts the technical scheme that:
an intelligent agricultural system based on big data comprises an information collection center, an information processing center, an information storage center, a product traceability center, a risk assessment center, an information display center and an information reminding center.
Furthermore, the information collection center is suitable for comprehensively collecting agricultural environment information in an area through information collection equipment, the information processing center is suitable for carrying out data processing on the information collected by the information collection center so as to evaluate and predict the growth state of agricultural products, the information storage center is suitable for storing the data collected by the information collection center and the data processed by the information processing center, and extracting and storing the data of the past year through big data, the product traceability center is suitable for establishing rich traceability files for each agricultural product, the risk assessment center is suitable for generating a suitable risk assessment report on the growth and sale stages of crops according to the external environment and the influence of the crops, and the information display center is suitable for carrying out comprehensive display on various information in production elements in agricultural production so as to make corresponding measures for farmers and agricultural departments, the information reminding center is suitable for reminding workers and farmers of various natural disaster risks and harvesting reminding.
Further, the information collection center comprises a crop distribution module, an agricultural machine operation module, a pest and disease identification module, a temperature and humidity collection module, a weather information collection module, a real-time monitoring module and a remote monitoring module, the crop distribution module is suitable for effectively identifying the distribution of various crops in the area through video monitoring equipment, a crop distribution three-dimensional model of the local area is established in a model library, the agricultural machine operation module is suitable for carrying out flow unified management on the agricultural machines in the area and effectively monitoring the operation condition of the agricultural machines in the area, the pest and disease identification module is suitable for identifying the types of pests and diseases through big data by shooting the states of roots, stems and leaves of various crops in the area through videos, and the pest and disease identification module further comprises a pesticide spraying unit which is suitable for identifying the types, the pests and diseases through the identified types, The system comprises a distribution area and a distribution range, so that pesticides suitable for plant diseases and insect pests are searched in the Internet of things and are sprayed through a suitable pesticide spraying device, the pesticide spraying device can be an unmanned aerial vehicle or a pesticide spraying vehicle for spraying a plurality of pesticides, a temperature and humidity collecting module is suitable for collecting the temperature and the humidity of each time period of the area, a weather information collecting module comprises a precipitation information unit, an illumination information unit and a wind speed collecting unit, the precipitation information unit is suitable for collecting the precipitation of each time period of the area, the illumination information unit is suitable for collecting the illumination information of each time period of the area, the wind speed collecting unit is suitable for collecting the wind speed of each time period of the area and identifying typhoon weather, and a real-time monitoring module is suitable for carrying out real-time monitoring on the growth of crops in the area through camera equipment arranged in the field and satellite remote sensing shooting in space, the remote monitoring module is suitable for a worker to remotely monitor the growth of crops in the area through the display screen by means of the internet of things and big data intercommunication.
Further, the information processing center comprises a master controller, a timing unit, a data extraction module, a data analysis module, a data comparison module and an image processing module, wherein the timing unit is suitable for timing the growth time of crops to provide each time node for the growth of the crops, the image processing module is suitable for carrying out the sharpening and the data processing on the images collected by the information collection center to provide an accurate basis for the judgment made by the information processing center, the data extraction module is suitable for extracting various data in the agricultural system according to the needs of a user, the data analysis module is suitable for carrying out the reduction processing on the data extracted by the user and reasonably analyzing the data, the master controller is suitable for controlling the normal operation of the whole system, the data comparison module is suitable for effectively comparing the obtained various data, and carrying out quick judgment updating on some data which possibly has errors.
Further, the information storage center comprises a storage database and an information retrieval module, the storage database is suitable for storing various data of the area related to agriculture, the information retrieval module is suitable for a user to retrieve and look up various data information in the storage database as required, the storage database comprises a previous year information unit, a current year information unit, an agricultural product database, an agricultural machine use database, an insect disease treatment database and a pesticide database, the previous year information unit is suitable for storing various information of agricultural production of the area in the previous year and provides reference for prediction of original agricultural production conditions, the current year information unit is suitable for storing various data of agricultural production of the current year, the agricultural product database is suitable for storing characteristics and growth characteristics of various agricultural products, and the agricultural machine use database is suitable for storing characteristics and use methods of various agricultural machines, the pest treatment database is suitable for storing the characteristics and solving methods of pests and diseases of various agricultural products, and the pesticide database is suitable for storing the characteristics, pesticide effects and using methods of various pesticides, so that farmers can be rapidly helped to treat problems of the agricultural products.
Furthermore, the product traceability center is suitable for extracting product data of produced agricultural products by using an one-object-one-code technology, independent product data are generated into comprehensive anti-counterfeiting agricultural product traceability data two-dimensional codes, and a user can scan the agricultural product traceability data two-dimensional codes to quickly obtain various pictures and videos in sowing, production, processing and selling links of the agricultural products, so that whole-course traceability information of the agricultural products can be checked.
Further, the risk assessment center is suitable for generating a risk assessment report belonging to the agricultural product according to the growth condition of crops, the external environment condition and the market saturation condition, the risk assessment center obtains the market saturation condition of the product through a market big data system, and the risk assessment center obtains the growth condition of the crops and the external environment condition through an information collection center.
Further, the information display center comprises a farmer display unit and an agricultural department display unit, the farmer display unit is suitable for reporting the crop growth condition of the individual farmland and the risk assessment report of the crops to the farmer, and the agricultural department display unit is suitable for displaying the overall crop growth condition of various crops in the local area to the agricultural department.
Further, the information reminding center comprises a drought reminding unit, a flood reminding unit, a harvesting reminding unit and a pest reminding unit, the drought reminding unit is suitable for issuing a proper drought reminding report through weather information data collected by a weather information collecting module of the information collecting center, the flood reminding unit is suitable for issuing a proper flood reminding report through the weather information data collected by the weather information collecting module of the information collecting center, the harvesting reminding unit is suitable for carrying out weighted average through the weather information collected by the information collecting center and combining with the characteristics of agricultural products to obtain an optimal harvesting period and issuing a harvesting reminding report, the pest reminding unit is suitable for issuing a proper pest reminding report through the pest data collected by a pest identification module of the information collecting center, and therefore, corresponding early warning is provided for various problems encountered by farmers in various links of agricultural production, the agricultural crop growth monitoring system can effectively improve the crop yield, realize intelligent and automatic monitoring on crop growth, greatly reduce the burden of farmers and really realize the big datamation of agricultural production.
Compared with the prior art, the invention has the following beneficial effects:
through the information collection center that sets up, the information processing center, the information storage center, the center of tracing to the source of product, the risk assessment center, information display center and the cooperation of information warning center are used, utilize thing networking big data to carry out the collection processing to various data in the agricultural production, various problems that the peasant household met in each link of agricultural production provide corresponding discernment, the early warning, teaching guidance and solution, and can sell and sell the effective help of going on of back link, constitute a complete wisdom agricultural system like this, can improve the output of crops effectively, realize the intellectuality to crops growth, automatic monitoring, can greatly alleviate peasant's burden, real realization agricultural production's big datumization.
Drawings
FIG. 1 is a schematic diagram of an overall system of a big data-based intelligent agricultural system according to the present invention.
FIG. 2 is a schematic diagram of an information collection center system of the big data-based intelligent agricultural system according to the present invention.
FIG. 3 is a schematic diagram of an information processing center system of a big data-based intelligent agricultural system according to the present invention.
FIG. 4 is a schematic diagram of an information storage center system of a big data-based intelligent agricultural system according to the present invention.
Fig. 5 is a schematic flow chart of a product traceability center of the intelligent agricultural system based on big data according to the present invention.
Fig. 6 is a schematic flow chart of a risk assessment center of a big data-based smart agriculture system according to the present invention.
Fig. 7 is a schematic flow chart of an information display center of a big data-based intelligent agricultural system according to the present invention.
Fig. 8 is a schematic flow chart of an information reminding center of a smart agriculture system based on big data according to the present invention.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
Examples
As shown in fig. 1-8, an intelligent agricultural system based on big data includes an information collection center, an information processing center, an information storage center, a product tracing center, a risk assessment center, an information display center, and an information reminding center.
The information collection center is suitable for comprehensively collecting agricultural environment information in an area through the information collection equipment, the information processing center is suitable for carrying out data processing on the information collected by the information collection center so as to evaluate and predict the growth state of agricultural products, the information storage center is suitable for storing the data collected by the information collection center and the data processed by the information processing center and extracting and storing the data of the past year through big data, the product traceability center is suitable for establishing rich traceability files for each agricultural product, the risk assessment center is suitable for generating a suitable risk assessment report for the growth and sale stage of crops according to the influence of the external environment and the crops, and the information display center is suitable for carrying out comprehensive display on various information in production elements in agricultural production so as to enable farmers and agricultural departments to make corresponding measures, the information reminding center is suitable for reminding workers and farmers of various natural disaster risks and harvesting reminding.
The information collection center comprises a crop distribution module, an agricultural machine operation module, a pest identification module, a temperature and humidity collection module, a weather information collection module, a real-time monitoring module and a remote monitoring module, wherein the crop distribution module is suitable for effectively identifying the distribution of various crops in the area through video monitoring equipment and establishing a crop distribution three-dimensional model of a local area in a model library, the agricultural machine operation module is suitable for carrying out flow-based unified management on the agricultural machines in the area and effectively monitoring the operation condition of the agricultural machines in the area, the pest identification module is suitable for identifying the types of pests through big data by shooting the states of roots, stems and leaves of various crops in the area through videos, and further comprises a pesticide spraying unit which is suitable for identifying the types, distribution areas and distribution ranges of the pests, thereby look for the suitable pesticide of this plant diseases and insect pests in the thing networking, spray through suitable pesticide sprinkler, pesticide sprinkler can spray unmanned aerial vehicle or pesticide spray truck for a plurality of pesticides, humiture collection module is suitable for the temperature and the humidity of collecting each time quantum in this area, weather information collection module includes precipitation information element, illumination information element and wind speed collection unit, precipitation information element is suitable for the precipitation of collecting each time quantum in this area, illumination information element is suitable for the illumination information that is suitable for collecting each time quantum in this area, wind speed collection unit is suitable for the wind speed of collecting each time quantum in this area, and discern typhoon weather, real-time supervision module is suitable for and shoots the crops growth to this area through the satellite remote sensing who sets up camera equipment and space in the field and carries out real-time supervision, remote monitoring module is suitable for the staff to utilize thing networking and big data intercommunication to carry out the long-distance monitoring to the crops growth in this area through the display screen And (5) monitoring, thus acquiring various data in the growth process of the agricultural products.
The information processing center comprises a master controller, a timing unit, a data extraction module, a data analysis module, a data comparison module and an image processing module, wherein the timing unit is suitable for timing the growth time of crops to provide each time node for the growth of the crops, the image processing module is suitable for carrying out sharpening and data processing on the images collected by the information collection center to provide an accurate basis for judgment made by the information processing center, the data extraction module is suitable for extracting various data in the agricultural system according to the needs of a user, the data analysis module is suitable for carrying out reduction processing on the data extracted by the user, the data are reasonably analyzed, the master controller is suitable for controlling the normal operation of the whole system, and the data comparison module is suitable for effectively comparing various acquired data and quickly judging and updating data which may have errors.
The information storage center comprises a storage database and an information retrieval module, the storage database is suitable for storing various data of the region related to agriculture, the information retrieval module is suitable for a user to retrieve and look up various data information in the storage database according to needs, the storage database comprises a previous year information unit, a current year information unit, an agricultural product database, an agricultural machine use database, a pest and disease treatment database and a pesticide database, the previous year information unit is suitable for storing various information of agricultural production of the region in the previous year and provides reference for prediction of original agricultural production conditions, the current year information unit is suitable for storing various data of agricultural production in the current year, the agricultural product database is suitable for storing characteristics and growth characteristics of various agricultural products, the agricultural machine use database is suitable for storing characteristics and use methods of various machines related to agriculture, and the pest and disease treatment database is suitable for storing characteristics and solving methods of pests and diseases of various agricultural products, the pesticide database is suitable for storing the characteristics, the pesticide effect and the using method of various pesticides, so that the pesticide database can help farmers to quickly deal with the problems of agricultural products.
The product traceability center is suitable for extracting product data of produced agricultural products by utilizing an one-object-one-code technology, independent product data are generated into comprehensive anti-counterfeiting agricultural product traceability data two-dimensional codes, and a user can scan the agricultural product traceability data two-dimensional codes to quickly obtain various pictures and videos in sowing, production, processing and selling links of the agricultural products, so that whole-course traceability information of the agricultural products can be checked.
The risk assessment center is suitable for generating a risk assessment report belonging to the agricultural product according to the growth condition of crops, the external environment condition and the market saturation condition, obtains the market saturation condition of the product through a market big data system, and obtains the growth condition of the crops and the external environment condition through the information collection center.
The information display center comprises a farmer display unit and an agricultural department display unit, the farmer display unit is suitable for reporting the crop growth condition of the individual farmland and the risk assessment report of the crops to the farmer, and the agricultural department display unit is suitable for displaying the overall crop growth condition of various crops in the local area to the agricultural department.
The information reminding center comprises a drought reminding unit, a flood reminding unit, a harvesting reminding unit and a pest reminding unit, wherein the drought reminding unit is suitable for issuing a proper drought reminding report through weather information data collected by a weather information collecting module of the information collecting center, the flood reminding unit is suitable for issuing a proper flood reminding report through the weather information data collected by the weather information collecting module of the information collecting center, the harvesting reminding unit is suitable for carrying out weighted average through the weather information collected by the information collecting center and combining with the characteristics of agricultural products to obtain the best harvesting period and issuing a harvesting reminding report, and the pest reminding unit is suitable for issuing a proper pest reminding report through the pest data collected by a pest identification module of the information collecting center.
By adopting the technical scheme: through the information collection center that sets up, the information processing center, the information storage center, the center of tracing to the source of product, the risk assessment center, information display center and the cooperation of information warning center are used, utilize thing networking big data to carry out the collection processing to various data in the agricultural production, various problems that the peasant household met in each link of agricultural production provide corresponding discernment, the early warning, teaching guidance and solution, and can sell and sell the effective help of going on of back link, constitute a complete wisdom agricultural system like this, can improve the output of crops effectively, realize the intellectuality to crops growth, automatic monitoring, can greatly alleviate peasant's burden, real realization agricultural production's big datumization.
The invention is to be noted that the invention is an intelligent agricultural system based on big data, when in use, a crop distribution module effectively identifies the distribution of various crops in the area through video monitoring equipment, a three-dimensional crop distribution model of the local area is established in a model library, an agricultural machine operation module carries out flow-process unified management on agricultural machines in the area, and effectively monitors the operation condition of the agricultural machines in the area, the disease and insect identification module identifies the types of diseases and insect pests through big data by shooting the states of roots, stems and leaves of various crops in the area through videos, the disease and insect identification module further comprises a pesticide spraying unit, the pesticide spraying unit searches for pesticides suitable for the diseases and insect pests in the internet of things through the identified types, distribution areas and distribution ranges of the diseases and insect pests, the pesticide spraying device sprays pesticides through a suitable pesticide spraying device which can spray unmanned aerial vehicles or pesticide spraying vehicles for a plurality of pesticides, the temperature and humidity collecting module collects the temperature and humidity of each time period of the area, the weather information collecting module comprises a precipitation information unit, an illumination information unit and a wind speed collecting unit, the precipitation information unit collects the precipitation of each time period of the area, the illumination information unit collects the illumination information of each time period of the area, the wind speed collecting unit collects the wind speed of each time period of the area and identifies typhoon weather, the real-time monitoring module carries out real-time monitoring on the growth of crops in the area through camera equipment arranged in the field and satellite remote sensing shooting of the space, a remote monitoring module worker carries out remote monitoring on the growth of the crops in the area through a display screen by using the internet of things and big data intercommunication, the timing unit times the growth time of the crops to provide each time node for the growth of the crops, and the image processing module carries out sharpening and data processing on images collected by the information collecting center to serve as an information processing center The output judgment provides an accurate basis, the data extraction module extracts various data in the agricultural system according to the needs of a user, the data analysis module restores the data extracted by the user and reasonably analyzes the data, the master controller controls the normal operation of the whole system, the data comparison module effectively compares the obtained various data, the data which are possibly wrong are quickly judged and updated, the drought reminding unit issues a proper drought reminding report through the weather information data collected by the weather information collection module of the information collection center, the flood reminding unit issues a proper flood reminding report through the weather information data collected by the weather information collection module of the information collection center, the harvest reminding unit weights and averages the weather information collected by the information collection center and combines the weather information with the characteristics of agricultural products to obtain an optimal harvest period and distributes a harvest reminding report, the plant disease and insect pest reminding unit issues a proper plant disease and insect pest reminding report through plant disease and insect pest data collected by a plant disease and insect pest identification module of the information collection center, the risk evaluation center generates a risk evaluation report belonging to the agricultural product through the growth condition of crops, the external environment condition and the market saturation condition in the growth process, the risk evaluation center obtains the market saturation condition of the product through a large market data system, the risk evaluation center obtains the growth condition of the agricultural product and the external environment condition through the information collection center, the product traceability center extracts the product data of the produced agricultural product by using an one-object-one-code technology during sales, the independent product data generates a comprehensive anti-fake agricultural product traceability data two-dimensional code, and a user can quickly obtain various pictures and videos of the agricultural product in the links of sowing, production, processing and sales, and then look over the whole information of tracing to the source of agricultural product, utilize thing networking big data to carry out the acquisition processing to various data in the agricultural production like this, to the various problems that peasant household met in each link of agricultural production provide corresponding discernment, early warning, teaching guidance and solution, and can provide effective help to selling and selling going on of link after-sale, can improve the output of crops effectively, realize the intellectuality to crops growth, automatic monitoring, can greatly alleviate peasant's burden, real big datumization that realizes agricultural production.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. The utility model provides an wisdom agricultural system based on big data which characterized in that: the system comprises an information collection center, an information processing center, an information storage center, a product traceability center, a risk assessment center, an information display center and an information reminding center;
the information collection center is suitable for comprehensively collecting agricultural environment information in an area through information collection equipment, the information processing center is suitable for carrying out data processing on the information collected by the information collection center so as to evaluate and predict the growth state of agricultural products, the information storage center is suitable for storing the data collected by the information collection center and the data processed by the information processing center and extracting and storing the data of the past year through big data, the product traceability center is suitable for establishing rich traceability files for each agricultural product, the risk assessment center is suitable for generating a suitable risk assessment report on the growth and sale stage of the agricultural products according to the influence of the external environment and the agricultural products, and the information display center is suitable for carrying out comprehensive display on various information in production elements in agricultural production so as to enable farmers and agricultural departments to make corresponding measures, the information reminding center is suitable for reminding workers and farmers of various natural disaster risks and harvesting reminding.
2. The big data based intelligent agricultural system of claim 1, wherein: the information collection center comprises a crop distribution module, an agricultural machine operation module, a pest and disease identification module, a temperature and humidity collection module, a weather information collection module, a real-time monitoring module and a remote monitoring module, the crop distribution module is suitable for effectively identifying the distribution of various crops in the area through video monitoring equipment, a crop distribution three-dimensional model of the local area is established in a model library, the agricultural machine operation module is suitable for carrying out flow-based unified management on the agricultural machines in the area and effectively monitoring the operation condition of the agricultural machines in the area, the pest and disease identification module is suitable for identifying the types of pests and diseases through big data by shooting the states of roots, stems and leaves of various crops in the area through videos, the pest and disease identification module further comprises a pesticide spraying unit, and the pesticide spraying unit is suitable for identifying the types, the types and the pests, The system comprises a distribution area and a distribution range, so that pesticides suitable for plant diseases and insect pests are searched in the Internet of things and are sprayed through a suitable pesticide spraying device, the pesticide spraying device can be an unmanned aerial vehicle or a pesticide spraying vehicle for spraying a plurality of pesticides, a temperature and humidity collecting module is suitable for collecting the temperature and the humidity of each time period of the area, a weather information collecting module comprises a precipitation information unit, an illumination information unit and a wind speed collecting unit, the precipitation information unit is suitable for collecting the precipitation of each time period of the area, the illumination information unit is suitable for collecting the illumination information of each time period of the area, the wind speed collecting unit is suitable for collecting the wind speed of each time period of the area and identifying typhoon weather, and a real-time monitoring module is suitable for carrying out real-time monitoring on the growth of crops in the area through camera equipment arranged in the field and satellite remote sensing shooting in space, the remote monitoring module is suitable for a worker to remotely monitor the growth of crops in the area through the display screen by means of the internet of things and big data intercommunication.
3. The big data based intelligent agricultural system of claim 1, wherein: the information processing center comprises a master controller, a timing unit, a data extraction module, a data analysis module, a data comparison module and an image processing module, the timing unit is adapted to time the growth time of the crop to provide respective time nodes for the growth of the crop, the image processing module is suitable for carrying out sharpening and data processing on the images collected by the information collection center to provide an accurate basis for judgment made by the information processing center, the data extraction module is suitable for extracting various data in the agricultural system according to the needs of a user, the data analysis module is suitable for reducing the data extracted by the user, and reasonably analyzes the data, the master controller is suitable for controlling the normal operation of the whole system, the data comparison module is suitable for effectively comparing various acquired data and quickly judging and updating some data which possibly have errors.
4. The big data based intelligent agricultural system of claim 1, wherein: the information storage center comprises a storage database and an information retrieval module, the storage database is suitable for storing various data related to agriculture of the area, the information retrieval module is suitable for a user to retrieve and look up various data information in the storage database according to needs, the storage database comprises a previous year information unit, a current year information unit, an agricultural product database, an agricultural machine use database, a pest and disease treatment database and a pesticide database, the previous year information unit is suitable for storing various information of agricultural production of the area in the previous year and provides reference for prediction of original agricultural production conditions, the current year information unit is suitable for storing various data of agricultural production of the current year, the agricultural product database is suitable for storing characteristics and growth characteristics of various agricultural products, and the agricultural machine use database is suitable for storing characteristics and use methods of various agricultural machines, the pest treatment database is suitable for storing the characteristics and solving methods of pests and diseases of various agricultural products, and the pesticide database is suitable for storing the characteristics, pesticide effects and using methods of various pesticides, so that farmers can be rapidly helped to treat problems of the agricultural products.
5. The big data based intelligent agricultural system of claim 1, wherein: the product traceability center is suitable for extracting product data of produced agricultural products by utilizing an one-object-one-code technology, generating independent product data into comprehensive anti-counterfeiting agricultural product traceability data two-dimensional codes, and scanning the agricultural product traceability data two-dimensional codes by a user to quickly obtain various pictures and videos in sowing, production, processing and selling links of the agricultural products so as to check whole-course traceability information of the agricultural products.
6. The big data based intelligent agricultural system of claim 1, wherein: the risk assessment center is suitable for generating a risk assessment report belonging to the agricultural product according to the growth condition of crops, the external environment condition and the market saturation condition, obtains the market saturation condition of the product through a market big data system, and obtains the growth condition of the crops and the external environment condition through the information collection center.
7. The intelligent big data-based agricultural system of claim 6, wherein: the information display center comprises a farmer display unit and an agricultural department display unit, the farmer display unit is suitable for reporting the crop growth condition of an individual farmland and a risk assessment report of crops to a farmer, and the agricultural department display unit is suitable for displaying the overall crop growth condition of various crops in a local area to an agricultural department.
8. The big data based intelligent agricultural system of claim 1, wherein:
the information reminding center comprises a drought reminding unit, a flood reminding unit, a harvesting reminding unit and a pest reminding unit, wherein the drought reminding unit is suitable for issuing a proper drought reminding report according to weather information data collected by a weather information collecting module of the information collecting center, the flood reminding unit is suitable for issuing a proper flood reminding report according to the weather information data collected by the weather information collecting module of the information collecting center, the harvesting reminding unit is suitable for carrying out weighted average according to the weather information collected by the information collecting center and combining with the characteristics of agricultural products to obtain the best harvesting period and issuing a harvesting reminding report, and the pest reminding unit is suitable for issuing a proper reminding report according to the pest data collected by a pest identification module of the information collecting center.
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