CN112907061A - Potato whole industry chain management system - Google Patents
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Abstract
The invention discloses a potato whole industrial chain management system, belongs to the technical field of crop industrial chain management systems, and aims to solve the technical problem of how to intelligently supervise a potato whole industrial chain. The system comprises: the information acquisition subsystem calls a global positioning system and a geographic information system and is used for acquiring the potato industry chain information; the industrial chain management subsystem is configured with decision analysis service and forms a management interface, and the decision analysis service is used for carrying out decision analysis on the basis of planting information, pest and disease information, meteorological environment information, price information, supply and demand information, quality safety information, ecological information and industrial information to generate a corresponding index analysis report; and the cloud server is in wireless connection with the information acquisition subsystem, interacts with the industrial chain management subsystem, is used for storing the potato industrial chain information and the index analysis report, and is used for providing support for decision analysis service.
Description
Technical Field
The invention relates to the technical field of crop industrial chain management systems, in particular to a potato full industrial chain management system.
Background
At present, the attention degree of human beings to crops is closely related to the economic development level, and along with the rapid development of economy in China, the importance of industrial chain safety supervision such as food production, processing, storage and the like is increasingly highlighted. As a main food, potatoes have a long and multiple links in the related industry, the factors influencing the safety of the potatoes are complex, the supervision difficulty is high, and the supervision of the whole industry chain from the source to consumers is necessary.
Based on the above, how to intelligently monitor the whole industrial chain of potatoes is a technical problem to be solved.
Disclosure of Invention
The technical task of the invention is to provide a management system for the whole potato industry chain to solve the problem of how to intelligently monitor the whole potato industry chain, aiming at the defects.
The potato whole industrial chain management system is used for analyzing and predicting a planting link, a pest control link, a weather monitoring link, a price link, a supply and demand link, a quality safety link, an ecological link and a market industry link which are related to a potato whole industrial chain, and comprises the following steps:
the system comprises an information acquisition subsystem, a data processing subsystem and a data processing subsystem, wherein the information acquisition subsystem calls a global positioning system and a geographic information system and is used for acquiring potato industry chain information, and the potato industry chain information comprises planting information, plant growth information, pest and disease information, meteorological environment information, price information, supply and demand information, quality safety information, ecological information and industry information related to a potato industry chain;
the system comprises an industrial chain management subsystem, a data processing subsystem and a data processing subsystem, wherein the industrial chain management subsystem is configured with decision analysis service and forms a management interface, the management interface is used for interacting with a user, and comprises user registration, login and remote configuration and display information, and the display mode comprises but is not limited to graphics, curves and reports; the decision analysis service is used for carrying out decision analysis based on planting information, pest and disease information, meteorological environment information, price information, supply and demand information, quality safety information, ecological information and industry information to generate a corresponding index analysis report;
and the cloud server is in wireless connection with the information acquisition subsystem, interacts with the industrial chain management subsystem, is used for storing the potato industrial chain information and the index analysis report, and is used for providing support for decision analysis service.
Preferably, the potato planting index includes, but is not limited to, production operator subject information, variety information, planting distribution information, commissioning information, revenue information, subsidy information, and insurance information;
the supply and demand information includes, but is not limited to, total production information, unit production information, sales information, and inventory information;
the ecological information comprises but is not limited to straw utilization rate information, organic matter public hazard planting area information and water and fertilizer integration area information;
the industry information includes, but is not limited to, trading price information, which is potato futures prices associated with various exchanges, and trading volume information, which includes import volumes and export volumes associated with domestic and foreign areas.
Preferably, the information collection subsystem includes:
the terminal information acquisition module is used for acquiring all-industrial-chain related information of potatoes through terminal equipment, and the information includes plant growth information, pest and disease information and meteorological environment information;
the interface information acquisition module is used for interacting with the industrial chain management subsystem and an external software system through a functional interface to acquire all-industrial-chain related information of the potatoes, including planting information, price information, supply and demand information, quality safety information, ecological information and industry information.
Preferably, the terminal information acquisition module includes:
the soil sensors comprise a soil temperature sensor, a soil moisture sensor, a soil temperature, humidity and salt three-in-one sensor, a tubular moisture meter and a soil salt sensor, the soil sensors are wireless sensors and are wirelessly connected with the cloud server, and under the cooperation of the cloud server, the global positioning system and the geographic information system, each soil sensor monitors and acquires soil data of a corresponding planting area;
the plant body sensors are wireless sensors and are used for monitoring the thickness of stems, leaf surface temperature, stem flow rate, fruit weight gain and expansion rate and plant photosynthesis parameters related to plants in real time or in a staged mode, the plant body sensors are in wireless connection with the cloud server, and under the cooperation of the cloud server, the global positioning system and the geographic information system, each plant body sensor monitors and acquires plant body data of a corresponding planting area;
the system comprises meteorological sensors, a central processing unit and a control unit, wherein the meteorological sensors comprise but are not limited to an air temperature and humidity sensor, an illumination sensor, a carbon dioxide sensor, a wind speed and direction sensor and a rainfall sensor, the meteorological sensors are wireless sensors, each meteorological sensor is in wireless connection with a cloud server, and each meteorological sensor monitors and acquires meteorological data of a corresponding planting area under the cooperation of the cloud server, a global positioning system and a geographic information system;
the monitor calls a global positioning system and a geographic information system, and is used for monitoring and acquiring a plant growth image, a pest image and an equipment state image in real time through a video image and storing and transmitting the plant growth image, the pest image and the equipment state image.
Preferably, the terminal information acquisition module further comprises a weather station, wherein the weather station is a wireless weather station and is in wireless connection with the cloud server and is used for detecting weather information through a video image and uploading the weather information to the cloud server;
the wireless weather station is interacted with the industry chain management subsystem through the cloud server, the data storage and transmission time interval in the wireless weather station is remotely set through the industry chain management subsystem, and weather parameters are configured through the industry chain management subsystem.
Preferably, the monitoring system is provided with a plurality of wireless cameras, and each camera is arranged in a corresponding planting area and is used for monitoring and acquiring potato growth state images, pest and disease damage images and equipment state images of the planting area in real time and uploading the images to the cloud server.
Preferably, the terminal information collecting module further comprises:
the insect condition monitoring and forecasting lamp comprises a plurality of insect condition monitoring and forecasting lamps, each insect condition monitoring and forecasting lamp comprises an insect condition monitoring and forecasting lamp body and a camera arranged at the position of the insect condition monitoring and forecasting lamp body, the camera is a wireless camera and is wirelessly connected with a cloud server, under the coordination of the cloud server, a global positioning system and a geographic information system, the insect condition monitoring and forecasting lamps monitor and acquire insect disease images of corresponding planting areas of the insect disease monitoring and forecasting lamps and upload the insect disease images to the cloud server, and the insect disease images reflect insect disease states;
and the decision analysis service in the industrial chain management subsystem is used for carrying out disease and pest identification analysis based on the disease and pest image to obtain disease and pest information.
Preferably, the method further comprises the following steps:
the spore capturing devices comprise a plurality of spore capturing devices, each spore capturing device comprises a spore capturing device body and a camera arranged at the spore capturing device body, the cameras are wireless cameras and are wirelessly connected with a cloud server, under the cooperation of the cloud server, a global positioning system and a geographic information system, a pest and disease detection and report lamp monitors and acquires pest and disease images of a corresponding planting area, the pest and disease images are uploaded to the cloud server, and the pest and disease images reflect pest and disease states;
and the decision analysis service in the industrial chain management subsystem is used for carrying out disease and pest identification analysis based on the disease and pest image to obtain disease and pest information.
Wherein the camera is a 360-degree infrared spherical camera.
Preferably, the industry chain management subsystem provides a decision analysis service through a decision analysis function module, where the decision analysis function module includes:
the planting index analysis submodule is used for carrying out analysis decision based on planting information and generating a planting index analysis report;
the pest index analysis submodule is used for carrying out pest analysis on the basis of plant growth information and pest information to generate a pest index analysis report;
the weather index analysis submodule is used for constructing a weather insurance claim model between weather factors and potato damage, performing weather damage claim analysis based on weather environment information and the weather insurance claim model, and generating a weather index analysis report;
the economic index analysis submodule is used for analyzing the price information and generating a price index report;
the supply and demand index analysis submodule is used for analyzing the supply and demand information to generate a supply and demand index report;
the quality safety index analysis submodule is used for analyzing the quality safety information and generating a quality safety index report;
the ecological index analysis submodule is used for analyzing ecological information and generating an ecological index report;
and the industry index analysis submodule is used for analyzing the industry information and generating an industry index report.
Preferably, the pest index analysis submodule comprises:
the system comprises a preprocessing unit, a data processing unit and a data processing unit, wherein the preprocessing unit is used for preprocessing a plant growth state image and a plant disease and insect pest image, cleaning the plant growth state image and the plant disease and insect pest image to identify plant growth information and plant disease and insect pest information, and enhancing image data of the plant state image and the plant disease and insect pest image;
the first recognition unit is used for recognizing diseases and pests of the input plant growth state image through the trained plant recognition network model and outputting disease and pest types, and the plant growth state image is a residual error network model and is used for recognizing the disease and pest types based on plant generation information in the plant growth state image;
the second recognition unit is used for recognizing diseases and pests of the input disease and pest images through the trained disease and pest recognition network model and outputting disease and pest types, and the disease and pest recognition network model is a residual error network model and is used for recognizing the disease and pest types based on the states of the diseases and pests in the disease and pest images and outputting the disease and pest types;
and the early warning unit is used for forming disease and pest early warning based on the disease and pest types output by the first identification unit and the second identification unit.
The potato production management system has the following advantages: the method comprises the steps of obtaining and analyzing information of relevant links of the whole potato industrial chain, generating index analysis reports of all the links, realizing fine management of the potato industrial chain, providing guidance for subsequent personalized products of different varieties, regions and time periods and differential management, improving the informatization level of potato production, and demonstrating and leading the green and efficient development direction of potatoes.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a schematic view showing the structure of a potato industrial chain management system according to example 1.
Detailed Description
The present invention is further described in the following with reference to the drawings and the specific embodiments so that those skilled in the art can better understand the present invention and can implement the present invention, but the embodiments are not to be construed as limiting the present invention, and the embodiments and the technical features of the embodiments can be combined with each other without conflict.
It is to be understood that "a plurality" in the embodiments of the present invention means two or more.
The embodiment of the invention provides a potato whole industry chain management system, which is used for solving the technical problem of how to intelligently monitor a potato whole industry chain.
Example (b):
the potato whole industrial chain management system is used for analyzing and predicting a planting link, a pest control link, a weather monitoring link, a price link, a supply and demand link, a quality safety link, an ecological link and a market industry link related to a potato whole industrial chain.
The system comprises an information acquisition subsystem, an industrial chain management subsystem and a cloud server, wherein the information acquisition subsystem calls a global positioning system and a geographic information system and is used for acquiring potato industrial chain information, and the potato industrial chain information comprises planting information, plant growth information, pest and disease information, meteorological environment information, price information, supply and demand information, quality safety information, ecological information and industrial information related to a potato industrial chain; the industrial chain management subsystem is configured with decision analysis service and forms a management interface, the management interface is used for interacting with users, and supports user registration, login and remote configuration and display information, and the display mode includes, but is not limited to, pictures and texts, curves and reports; the decision analysis service is used for carrying out decision analysis based on planting information, plant growth information, pest and disease information, meteorological environment information, price information, supply and demand information, quality safety information, ecological information and industry information to generate a corresponding index analysis report; the cloud server is in wireless connection with the information acquisition subsystem, interacts with the industrial chain management subsystem, and is used for storing the potato industrial chain information and the index analysis report and providing support for decision analysis service.
Potato planting indices include, but are not limited to, production operator body information, variety information, planting distribution information, commissioning information, revenue information, subsidy information, and insurance information.
The production operator main body information relates to basic information, parcel information, comprehensive ranking, agricultural product types (potatoes are retail households), land circulation information, sensor information, service use information, income information, input product information, insurance application information, subsidy information, loan information, administrative penalty information and the like, wherein the parcel information comprises the serial number of parcels held by the production operator; the comprehensive ranking relates to a village ranking, a town-wide ranking and a city-wide ranking; the land circulation information comprises circulation area, circulation mode, circulation price and the like; the sensor information comprises the number of acquisition points, the number of cameras and the like; the service use information comprises times of agricultural machinery service, skill training, expert consultation, agricutural meteorology, pest and disease early warning, market conditions, policy and regulation, three-resource supervision and the like; the income information comprises total income and production operator cost, the input information comprises seed purchasing cost, chemical fertilizer purchasing cost and pesticide purchasing cost, the application information comprises application amount, the subsidy information comprises city level subsidy amount, district level non-subsidy amount and country level subsidy amount, the loan information comprises loan amount and subsidence information, and the administrative penalty comprises current-year penalty item information (with or without).
Production operator body types include individuals and collaborators. For a production operator main body in an individual form, basic information includes an identification card, a land type (such as grain planting), a planting classification (such as local scale households), a land area (such as 193 mu), a region of the country (such as a certain village in the town), an age (such as 57), a gender (male or female), a scholarly (such as high school), a farming time (such as 31 years), a new professional farmer certificate (with or without), a farm machinery operation certificate (with or without), a farmer age group (such as young, middle-aged, old and the like), and the like; for a production operator body in the form of a cooperative, basic information includes an enterprise name, an enterprise code, an operation industry (e.g., potato corresponds to a plant), registration time (including year, month and day), a corporate representative, a total area of crops (in mu), a region (including province, city, county and town), a three-item-one-item (including a registered trademark and whether it is nuisance-free), a total number of members, a driver farmer (in household), and a radiation area (in mu).
Supply and demand information includes, but is not limited to, total production information, unit production information, sales information, and inventory information; the ecological information includes but is not limited to straw utilization rate information, organic matter pollution planting area information, and water and fertilizer integration area information.
Industry information includes, but is not limited to, trading price information, which is the potato futures price associated with each exchange, and trading volume information, which includes import volumes and export volumes associated with both domestic and foreign regions.
In the embodiment, the information acquisition subsystem comprises a terminal information acquisition module and an interface information acquisition module, wherein the terminal information acquisition module is used for acquiring all-industrial-chain related information of potatoes through terminal equipment, and acquiring pest information and meteorological environment information comprises acquiring pest information and meteorological environment information; the interface information acquisition module is used for interacting with the industrial chain management subsystem and an external software system through a functional interface and acquiring the relevant information of the whole industrial chain of the potatoes, including the acquisition of planting information, price information, supply and demand information, quality safety information, ecological information and industry information.
Specifically, the interface information acquisition module interacts with an industrial chain management subsystem through a functional interface thereof to acquire information input through the management interface, such as planting information, price information, supply and demand information, quality safety information, ecological information and industry information, interacts with an external system through the functional interface to acquire related information, for example, interacts with a production operator management system through the functional interface to acquire planting information, interacts with a supply and marketing system through the functional interface to acquire supply and demand information, interacts with a quality safety related system through the functional interface to acquire quality safety information, interacts with an ecological management and control related system through the functional interface to acquire ecological information, and interacts with an industry related system such as a potato market trading related system through the functional interface to acquire industry information.
The terminal information acquisition module comprises a soil sensor, a plant body sensor, a meteorological sensor and a monitor, the soil sensor comprises a soil temperature sensor, a soil moisture sensor, a soil temperature, humidity and salt three-in-one sensor, a tubular moisture meter and a soil salt sensor, the soil sensor is a wireless sensor and is in wireless connection with the cloud server, and under the cooperation of the cloud server, the global positioning system and the geographic information system, each soil sensor monitors and acquires soil data of a corresponding planting area; the plant body sensors are wireless sensors and are used for monitoring the thickness of stems, leaf surface temperature, stem flow rate, fruit weight gain and expansion rate and plant photosynthesis parameters related to the plants in real time or in a staged mode, the plant body sensors are in wireless connection with the cloud server, and under the cooperation of the cloud server, the global positioning system and the geographic information system, each plant body sensor monitors and acquires plant body data of a corresponding planting area; the weather sensors comprise but are not limited to an air temperature and humidity sensor, an illumination sensor, a carbon dioxide sensor, a wind speed and direction sensor and a rainfall sensor, the weather sensors are wireless sensors, each weather sensor is in wireless connection with the cloud server, and each weather sensor monitors and acquires weather data of a corresponding planting area under the cooperation of the cloud server, the global positioning system and the geographic information system; the monitor calls a global positioning system and a geographic information system, is used for monitoring and acquiring a plant growth image, a pest image and an equipment state image in real time through a video image, and is used for storing and transmitting the plant growth image, the pest image and the equipment state image. In the embodiment, the number of the cameras in the monitor is multiple, and each camera is arranged in a corresponding planting area and used for monitoring and acquiring potato growth information, pest information and equipment state information of the planting area in real time and uploading the information to the cloud server.
Correspondingly, the industrial chain management subsystem provides decision analysis service through a decision analysis function module, and the decision analysis function module comprises a planting index analysis submodule, a pest and disease index analysis submodule, a meteorological index analysis submodule, an economic index analysis submodule, a supply and demand index analysis submodule, a quality safety index analysis submodule, an ecological index analysis submodule and an industry index analysis submodule. The planting index analysis submodule is used for carrying out analysis decision based on the planting information and generating a planting index analysis report; the pest index analysis submodule is used for performing pest analysis based on the plant growth information and the pest information to generate a pest index analysis report; the weather index analysis submodule is used for constructing a weather insurance claim model between weather factors and potato damage, performing weather damage claim analysis based on weather environment information and the weather insurance claim model, and generating a weather index analysis report; the economic index analysis submodule is used for analyzing the price information and generating a price index report; the supply and demand analysis submodule is used for analyzing the supply and demand information and generating a supply and demand index report; the quality safety analysis submodule is used for analyzing the quality safety information and generating a quality safety index report; the ecological analysis submodule is used for analyzing the ecological information and generating an ecological index report; and the industry index analysis submodule is used for analyzing the industry information and generating an industry index report.
In this embodiment, the industry index analysis is selectively displayed in the form of icons, curves, reports, and the like according to the requirement. For example, the potato planting index is shown in the form of an icon, the supply and demand index can be shown in the form of a graph and text in combination with a map, and the economic index can represent the price change in the form of a curve for potatoes.
In this embodiment, the pest monitoring and early warning module includes a preprocessing unit, a first recognition unit, a second recognition unit and an early warning unit, where the preprocessing unit is configured to preprocess the plant generation state image and the pest image, includes cleaning the plant generation state image and the pest image to recognize the plant state and the pest state, and is configured to perform image data enhancement on the plant generation state image and the pest image; the first recognition unit is used for recognizing diseases and pests of the input plant generation state image through the trained plant recognition network model and outputting disease and pest types, and the plant recognition network model is a residual error network model and is used for recognizing the disease and pest types based on the plant generation state in the plant generation state image; the second recognition unit is used for recognizing diseases and pests of the input disease and pest images through the trained disease and pest recognition network model and outputting disease and pest types, and the disease and pest recognition network model is a residual error network model and is used for recognizing the disease and pest types based on the states of pests in the disease and pest images and outputting the disease and pest types; the early warning unit is used for forming disease and pest early warning based on the disease and pest types output by the first identification unit and the second identification unit.
The preprocessing unit is used for cleaning the plant generation state image and the plant disease and insect pest image and labeling the plant generation state image and the plant disease and insect pest image so as to respectively identify the plant generation state image and the plant disease and insect pest image, and therefore disease and insect pest identification can be conveniently carried out on the plant generation state image and the plant disease and insect pest image in the follow-up process. The preprocessing unit is also used for carrying out image data enhancement on the plant generation state image and the plant disease and insect pest image.
The plant identification network model in the first identification unit is a trained plant identification network model and is used for identifying the types of diseases and pests by analyzing the state of potatoes in the plant generation state image; the first recognition unit recognizes the type of the disease and insect through a trained plant recognition network model, wherein the trained plant recognition network model is obtained through the following steps:
collecting a plant body image serving as a training sample, wherein the known pest phenomenon caused by known pests exists in the potatoes in the plant generation state image;
preprocessing the plant generation state image serving as the training sample, and performing image data enhancement on the plant generation state image;
taking the enhanced plant generation state image as a training sample as input, constructing an initial residual error network model as a plant identification network model, and outputting the types of diseases and pests;
determining loss errors according to the types of the diseases and pests which are output in a comparison mode and the types of the diseases and pests corresponding to the plant generation state image which serves as the training sample;
and determining a loss function according to the loss error, optimizing the network parameters of the initial residual error network model by using an error back propagation algorithm based on the determined loss function, and determining an optimized residual error network model so as to obtain the trained plant identification network model.
Through the trained plant identification network model, the input plant generation state images serving as test samples can be identified and classified to obtain corresponding pest types.
Similarly, the disease and insect recognition network model in the second recognition unit is a trained disease and insect recognition network model and is used for recognizing the type of the disease and insect by analyzing the state of the disease and insect in the disease and insect image; the second recognition unit recognizes the type of the plant diseases and insect pests through the trained plant disease and insect pest recognition network model, wherein the trained plant disease and insect pest recognition network model is obtained through the following steps:
acquiring a pest image serving as a training sample, wherein the type of pests in the pest image is known;
preprocessing the pest and disease damage image serving as the training sample, and enhancing image data of the pest and disease damage image;
taking the enhanced pest and disease image serving as a training sample as input, constructing an initial residual error network model serving as a plant recognition network model, and outputting the types of the pests;
determining loss errors according to the types of the diseases and pests which are output in a comparison mode and the types of the diseases and pests corresponding to the disease and pest images which serve as training samples;
and determining a loss function according to the loss error, optimizing the network parameters of the initial residual error network model by using an error back propagation algorithm based on the determined loss function, and determining an optimized residual error network model so as to obtain the trained pest and disease identification network model.
Through the trained pest and disease identification network model, the input pest and disease images serving as test samples can be identified and classified to obtain corresponding pest types.
In the present embodiment, the residual network model is the ResNet50 network model.
As an improvement, the terminal information acquisition module further comprises a weather station, wherein the weather station is a wireless weather station and is in wireless connection with the cloud server and used for detecting weather information through a video image and uploading the weather information to the cloud server; the wireless weather station is interacted with the industry chain management subsystem through the cloud server, the data storage and transmission time interval in the wireless weather station is remotely set through the industry chain management subsystem, and weather parameters are configured through the industry chain management subsystem. For example, the observation point and the time and time interval for capturing the video may be preset by the industry chain management decision system.
The terminal information acquisition module further comprises a plurality of insect condition forecasting lamps and a spore capture instrument, each insect condition forecasting lamp comprises an insect condition forecasting lamp body and a camera arranged at the insect condition forecasting lamp body, the camera is a wireless camera and is in wireless connection with the cloud server, under the cooperation of the cloud server, the global positioning system and the geographic information system, the insect condition forecasting lamps monitor and acquire insect disease images of corresponding planting areas of the insect disease forecasting lamps, and the insect disease images are uploaded to the cloud server; and the decision analysis service in the industrial chain management subsystem is used for carrying out disease and pest identification analysis based on the disease and pest image to obtain disease and pest information.
The device comprises a plurality of spore capturing instruments, wherein each spore capturing instrument comprises a spore capturing instrument body and a camera arranged at the spore capturing instrument body, the camera is a wireless camera and is in wireless connection with a cloud server, and under the cooperation of the cloud server, a global positioning system and a geographic information system, insect pest situation observation and report lamps are used for monitoring and acquiring insect pest images of a corresponding planting area of the spore capturing instrument body and uploading the insect pest images to the cloud server; and the decision analysis service in the industrial chain management subsystem is used for carrying out disease and pest identification analysis based on the disease and pest image to obtain disease and pest information.
In the embodiment, the camera selected by the terminal information acquisition module is a 360-degree infrared spherical camera.
According to the management system for the whole potato industrial chain, the information of the planting link, the pest control link, the weather monitoring link, the price link, the supply and demand link, the quality safety link, the ecological link and the market industry link related to the whole potato industrial chain is obtained and analyzed to obtain a related index analysis report, and each link of the whole potato industrial chain can be visually analyzed and controlled based on the index analysis report, so that the whole potato industrial chain can be controlled finely.
While the invention has been shown and described in detail in the drawings and in the preferred embodiments, it is not intended to limit the invention to the embodiments disclosed, and it will be apparent to those skilled in the art that many more embodiments of the invention are possible that combine the features of the different embodiments described above and still fall within the scope of the invention.
Claims (10)
1. The potato whole industrial chain management system is characterized in that the system is used for analyzing and predicting a planting link, a pest control link, a weather monitoring link, a price link, a supply and demand link, a quality safety link, an ecological link and a market industry link which are related to a potato whole industrial chain, and the system comprises:
the system comprises an information acquisition subsystem, a data processing subsystem and a data processing subsystem, wherein the information acquisition subsystem calls a global positioning system and a geographic information system and is used for acquiring potato industry chain information, and the potato industry chain information comprises planting information, plant growth information, pest and disease information, meteorological environment information, price information, supply and demand information, quality safety information, ecological information and industry information related to a potato industry chain;
the system comprises an industrial chain management subsystem, a data processing subsystem and a data processing subsystem, wherein the industrial chain management subsystem is configured with decision analysis service and forms a management interface, the management interface is used for interacting with a user, and comprises user registration, login and remote configuration and display information, and the display mode comprises but is not limited to graphics, curves and reports; the decision analysis service is used for carrying out decision analysis based on planting information, plant growth information, pest and disease information, meteorological environment information, price information, supply and demand information, quality safety information, ecological information and industry information to generate a corresponding index analysis report;
and the cloud server is in wireless connection with the information acquisition subsystem, interacts with the industrial chain management subsystem, is used for storing the potato industrial chain information and the index analysis report, and is used for providing support for decision analysis service.
2. The potato whole industry chain management system of claim 1, wherein the potato planting index includes, but is not limited to, production operator subject information, variety information, planting distribution information, commissioning information, income information, subsidy information, and insurance information;
the supply and demand information includes, but is not limited to, total production information, unit production information, sales information, and inventory information;
the ecological information comprises but is not limited to straw utilization rate information, organic matter public hazard planting area information and water and fertilizer integration area information;
the industry information includes, but is not limited to, trading price information, which is potato futures prices associated with various exchanges, and trading volume information, which includes import volumes and export volumes associated with domestic and foreign areas.
3. The potato industry chain management system of claim 1 or 2, wherein the information collection subsystem comprises:
the terminal information acquisition module is used for acquiring all-industrial-chain related information of potatoes through terminal equipment, and the information includes plant growth information, pest and disease information and meteorological environment information;
the interface information acquisition module is used for interacting with the industrial chain management subsystem and an external software system through a functional interface to acquire all-industrial-chain related information of the potatoes, including planting information, price information, supply and demand information, quality safety information, ecological information and industry information.
4. The potato industry-wide chain management system of claim 3, wherein the terminal information collecting module comprises:
the soil sensors comprise a soil temperature sensor, a soil moisture sensor, a soil temperature, humidity and salt three-in-one sensor, a tubular moisture meter and a soil salt sensor, the soil sensors are wireless sensors and are wirelessly connected with the cloud server, and under the cooperation of the cloud server, the global positioning system and the geographic information system, each soil sensor monitors and acquires soil data of a corresponding planting area;
the plant body sensors are wireless sensors and are used for monitoring the thickness of stems, leaf surface temperature, stem flow rate, fruit weight gain and expansion rate and plant photosynthesis parameters related to plants in real time or in a staged mode, the plant body sensors are in wireless connection with the cloud server, and under the cooperation of the cloud server, the global positioning system and the geographic information system, each plant body sensor monitors and acquires plant body data of a corresponding planting area;
the system comprises meteorological sensors, a central processing unit and a control unit, wherein the meteorological sensors comprise but are not limited to an air temperature and humidity sensor, an illumination sensor, a carbon dioxide sensor, a wind speed and direction sensor and a rainfall sensor, the meteorological sensors are wireless sensors, each meteorological sensor is in wireless connection with a cloud server, and each meteorological sensor monitors and acquires meteorological data of a corresponding planting area under the cooperation of the cloud server, a global positioning system and a geographic information system;
the monitor calls a global positioning system and a geographic information system, and is used for monitoring and acquiring a plant growth image, a pest image and an equipment state image in real time through a video image and storing and transmitting the plant growth image, the pest image and the equipment state image.
5. The potato industry chain management system of claim 4, wherein the terminal information collection module further comprises a weather station, the weather station is a wireless weather station and is wirelessly connected with the cloud server, and the weather station is used for detecting weather information through video images and uploading the weather information to the cloud server;
the wireless weather station is interacted with the industry chain management subsystem through the cloud server, the data storage and transmission time interval in the wireless weather station is remotely set through the industry chain management subsystem, and weather parameters are configured through the industry chain management subsystem.
6. The potato whole industry chain management system of claim 4, wherein the monitor comprises a plurality of cameras, each camera is arranged in a corresponding planting area and is used for monitoring and acquiring the growth state images, the disease and insect damage images and the equipment state images of the potatoes in the planting area in real time and uploading the images to the cloud server.
7. The potato production management system according to claim 4, wherein the terminal information collecting module further comprises:
the insect condition monitoring and forecasting lamp comprises a plurality of insect condition monitoring and forecasting lamps, each insect condition monitoring and forecasting lamp comprises an insect condition monitoring and forecasting lamp body and a camera arranged at the position of the insect condition monitoring and forecasting lamp body, the camera is a wireless camera and is wirelessly connected with a cloud server, under the coordination of the cloud server, a global positioning system and a geographic information system, the insect condition monitoring and forecasting lamps monitor and acquire insect disease images of corresponding planting areas of the insect disease monitoring and forecasting lamps and upload the insect disease images to the cloud server, and the insect disease images reflect insect disease states;
and the decision analysis service in the industrial chain management subsystem is used for carrying out disease and pest identification analysis based on the disease and pest image to obtain disease and pest information.
8. The potato production management system of claim 8, further comprising:
the spore capturing devices comprise a plurality of spore capturing devices, each spore capturing device comprises a spore capturing device body and a camera arranged at the spore capturing device body, the cameras are wireless cameras and are wirelessly connected with a cloud server, insect pest images of a corresponding planting area of the spore capturing device are monitored and obtained by insect pest detecting and reporting lamps under the cooperation of the cloud server, a global positioning system and a geographic information system, and the insect pest images are uploaded to the cloud server and reflect the insect pest states;
and the decision analysis service in the industrial chain management subsystem is used for carrying out disease and pest identification analysis based on the disease and pest image to obtain disease and pest information.
9. The potato industry chain management system of any one of claims 1-8, wherein the industry chain management subsystem provides decision analysis services through a decision analysis function, the decision analysis function comprising:
the planting index analysis submodule is used for carrying out analysis decision based on planting information and generating a planting index analysis report;
the pest index analysis submodule is used for carrying out pest analysis on the basis of plant growth information and pest information to generate a pest index analysis report;
the weather index analysis submodule is used for constructing a weather insurance claim model between weather factors and potato damage, performing weather damage claim analysis based on weather environment information and the weather insurance claim model, and generating a weather index analysis report;
the economic index analysis submodule is used for analyzing the price information and generating a price index report;
the supply and demand index analysis submodule is used for analyzing the supply and demand information to generate a supply and demand index report;
the quality safety index analysis submodule is used for analyzing the quality safety information and generating a quality safety index report;
the ecological index analysis submodule is used for analyzing ecological information and generating an ecological index report;
and the industry index analysis submodule is used for analyzing the industry information and generating an industry index report.
10. The potato whole industry chain management system of claim 9, wherein the pest index analysis submodule comprises:
the system comprises a preprocessing unit, a data processing unit and a data processing unit, wherein the preprocessing unit is used for preprocessing a plant growth state image and a plant disease and insect pest image, cleaning the plant growth state image and the plant disease and insect pest image to identify plant growth information and plant disease and insect pest information, and enhancing image data of the plant state image and the plant disease and insect pest image;
the first recognition unit is used for recognizing diseases and pests of the input plant growth state image through the trained plant recognition network model and outputting disease and pest types, and the plant growth state image is a residual error network model and is used for recognizing the disease and pest types based on plant generation information in the plant growth state image;
the second recognition unit is used for recognizing diseases and pests of the input disease and pest images through the trained disease and pest recognition network model and outputting disease and pest types, and the disease and pest recognition network model is a residual error network model and is used for recognizing the disease and pest types based on the states of the diseases and pests in the disease and pest images and outputting the disease and pest types;
and the early warning unit is used for forming disease and pest early warning based on the disease and pest types output by the first identification unit and the second identification unit.
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