CN112329709A - Intelligent agricultural product control system, method, computer equipment and storage medium - Google Patents
Intelligent agricultural product control system, method, computer equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention relates to the technical field of intelligent agricultural product control, and particularly discloses an intelligent agricultural product control system, which is characterized in that farmland data in a planting area is obtained through a sensor node, and the farmland data in the planting area is stored by utilizing a database node and a unique identifier is generated; the agricultural product management system comprises a central processing unit, a agricultural product management system and a agricultural product management system, wherein the central processing unit is used for analyzing and evaluating farmland data, timely mastering the growth condition of crops, predicting the yield of agricultural products based on the growth condition of the crops, collecting market agricultural product demand information, sending agricultural product yield and supply information in combination with the predicted agricultural product yield, timely mastering the market information, flexibly adjusting the supply of the agricultural products according to the market demands, tracing the agricultural products by consumers, knowing environmental data information and image data information of the growth of the agricultural products purchased by the consumers, and solving the problems that the farmland crops are inconvenient to manage and the agricultural products cannot be traced back in the.
Description
Technical Field
The embodiment of the invention relates to the technical field of intelligent agricultural product control, in particular to an intelligent agricultural product control system, an intelligent agricultural product control method, computer equipment and a storage medium.
Background
Agricultural products are produced in agriculture, such as sorghum, rice, peanuts, corns, wheat, and local specialty products in various regions. The primary agricultural products refer to plants, animals and products thereof obtained in agricultural activities, and do not include various processed products. In the agricultural product intelligence article accuse in farmland base, often need each item data index in the timely mastery farmland base of administrator to carry out analysis and evaluation to the growth situation of each crops in the farmland base, however, the management to the rural area among the prior art is only according to the farming experience, go to manage the crops growth in the farmland base, lack accurate data support, and in carrying out the sales process to agricultural product, the consumer can't trace to the source to agricultural product, can't know the source and the growing environment of the agricultural product of oneself purchasing, can't satisfy user demand.
Disclosure of Invention
An object of the embodiments of the present invention is to provide an intelligent agricultural product control system, method, computer device and storage medium, so as to solve the problems in the background art.
In order to achieve the above purpose, the embodiments of the present invention provide the following technical solutions:
an intelligent agricultural product quality control system comprises sensor nodes, database nodes and a central processing unit, wherein:
the sensor node is used for acquiring farmland data in a planting area, wherein the farmland data comprises environment data and image data;
the database node is used for storing farmland data in the planting area and generating a unique identifier;
the central processing unit is used for analyzing and evaluating the growth condition of crops according to the farmland data, predicting the yield of agricultural products based on the growth condition of the crops, collecting market agricultural product demand information and sending agricultural product yield supply information outwards by combining the predicted agricultural product yield; receiving a farmland data query request, calling and displaying corresponding farmland data according to the unique identifier;
the sensor node specifically includes:
the environmental data acquisition unit is used for acquiring soil environmental data in the planting area; and
the image data acquisition unit is used for acquiring crop image data in a planting area;
the environment data acquisition unit specifically comprises:
the humidity sensor is used for detecting the soil humidity in the planting area and generating soil humidity information data;
the temperature sensor is used for detecting the soil temperature in the planting area and generating soil temperature information data; and
the pH sensor is used for detecting the pH of the soil in the planting area and generating soil pH information data;
the image data acquisition unit specifically includes:
the camera is used for capturing an image of a target crop in a planting area and generating crop image information data;
the agricultural product intelligent quality control system also comprises a central node base station, wherein the central node base station is used for receiving the farmland data, summarizing and classifying the farmland data and uploading the farmland data to the database node;
the central processor specifically comprises:
the analysis and evaluation unit is used for analyzing and evaluating the growth condition of the crops according to the farmland data and predicting the yield of the agricultural products based on the growth condition of the crops;
the information issuing unit is used for collecting market agricultural product demand information and sending agricultural product yield supply information outwards in combination with the predicted agricultural product yield; and
the source tracing unit is used for receiving a farmland data query request, calling and displaying the corresponding farmland data according to the unique identifier;
the source tracing unit specifically comprises:
the request receiving unit is used for receiving a farmland data query request; and
and the calling and displaying unit is used for calling and displaying the corresponding farmland data according to the unique identifier.
An intelligent agricultural product quality control method comprises the following steps:
obtaining farmland data in a planting area, wherein the farmland data comprises environment data and image data;
storing farmland data in the planting area and generating a unique identifier;
analyzing and evaluating the growth condition of crops according to the farmland data, predicting the yield of agricultural products based on the growth condition of the crops, collecting market agricultural product demand information and sending agricultural product yield supply information outwards by combining the predicted agricultural product yield;
and pasting an identification code corresponding to the unique identifier to the qualified agricultural products in the planting area, receiving a farmland data query request corresponding to the identification code, calling the corresponding farmland data according to the unique identifier and displaying the farmland data.
A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the agricultural product intelligent control method when executing the computer program.
A storage medium storing a computer program which, when executed by a processor, implements the steps of the agricultural product intelligent control method.
Compared with the prior art, in the intelligent agricultural product control system provided by the embodiment of the invention, farmland data in a planting area is obtained through the sensor node, and the farmland data in the planting area is stored by utilizing the database node and a unique identifier is generated; the agricultural product management system comprises a central processing unit, a agricultural product management system and a agricultural product management system, wherein the central processing unit is used for analyzing and evaluating farmland data, timely mastering the growth condition of crops, predicting the yield of agricultural products based on the growth condition of the crops, collecting market agricultural product demand information, sending agricultural product yield and supply information in combination with the predicted agricultural product yield, timely mastering the market information, flexibly adjusting the supply of the agricultural products according to the market demands, tracing the agricultural products by consumers, knowing environmental data information and image data information of the growth of the agricultural products purchased by the consumers, and solving the problems that the farmland crops are inconvenient to manage and the agricultural products cannot be traced back in the.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 is a system architecture diagram of an intelligent agricultural product control system according to an embodiment of the present invention.
Fig. 2 is a block diagram of a sensor node in an intelligent agricultural product quality control system according to an embodiment of the present invention.
Fig. 3 is a block diagram of an environment data acquisition unit in the intelligent agricultural product control system according to the embodiment of the invention.
Fig. 4 is a block diagram of an image data acquisition unit in the intelligent agricultural product control system according to the embodiment of the present invention.
Fig. 5 is a block diagram of a central processing unit of the intelligent agricultural product control system according to the embodiment of the invention.
Fig. 6 is a block diagram of a source tracing unit in the intelligent agricultural product control system according to the embodiment of the present invention.
Fig. 7 is a flowchart of an intelligent agricultural product quality control method according to a seventh embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In the agricultural product intelligence article accuse in farmland base, often need each item data index in the timely mastery farmland base of administrator to carry out analysis and evaluation to the growth situation of each crops in the farmland base, however, the management to the rural area among the prior art is only according to the farming experience, go to manage the crops growth in the farmland base, lack accurate data support, and in carrying out the sales process to agricultural product, the consumer can't trace to the source to agricultural product, can't know the source and the growing environment of the agricultural product of oneself purchasing, can't satisfy user demand.
In the intelligent agricultural product control system provided by the embodiment of the invention, farmland data in a planting area is obtained through a sensor node, and the farmland data in the planting area is stored by utilizing a database node and a unique identifier is generated; the agricultural product management system comprises a central processing unit, a agricultural product management system and a agricultural product management system, wherein the central processing unit is used for analyzing and evaluating farmland data, timely mastering the growth condition of crops, predicting the yield of agricultural products based on the growth condition of the crops, collecting market agricultural product demand information, sending agricultural product yield and supply information in combination with the predicted agricultural product yield, timely mastering the market information, flexibly adjusting the supply of the agricultural products according to the market demands, tracing the agricultural products by consumers, knowing environmental data information and image data information of the growth of the agricultural products purchased by the consumers, and solving the problems that the farmland crops are inconvenient to manage and the agricultural products cannot be traced back in the.
The first embodiment is as follows: fig. 1 is a system architecture diagram of an intelligent agricultural product control system 100 according to an embodiment of the present invention.
In the embodiment of the present invention, the intelligent agricultural product control system 100 includes a sensor node 103, a database node 102, and a central processor 101, where:
the sensor node 103 is used for acquiring farmland data in a planting area;
it can be understood that the sensor nodes in the embodiment of the present invention are distributed in a farmland planting area according to the requirement of intelligent product control of agricultural products, so as to detect farmland data in each target planting area, where the farmland data includes environment data and image data, the environment data is various indexes in soil, including but not limited to soil humidity, soil temperature, and soil ph, and of course, the environment data may also be data required by other crops for growth, which is not limited herein.
In addition, the image data mentioned above is a growth image of the designated crop in the planting area, the growth image is acquired by using a camera, and the camera can acquire the image of the growth process of the crop according to the management requirement so as to provide visual data support.
Further, in a preferred embodiment provided by the present invention, the database node 102 is configured to store farmland data in the planting area and generate a unique identifier;
specifically, in the embodiment of the present invention, the database node 102 receives the farmland data, that is, in the embodiment, the farmland data acquired by the sensor node 103 is received by the database node 102, and at the same time, the farmland data acquired by the database node needs to be stored and unique identifiers need to be generated for marking, each unique identifier corresponds to farmland data of a specific crop in a specific time, for example, in a certain time period, a growth image of the crop and soil environment data of the crop at the time, such as soil humidity, soil temperature, soil acidity and alkalinity, and the like.
Further, in a preferred embodiment provided by the present invention, the intelligent agricultural product control system 100 further includes a central node base station 104, the central node base station 104 is configured to receive the farmland data, summarize and classify the farmland data, and upload the farmland data to the database node 102, the central node base station 104 is composed of a solar power management module, a wifi module, and a GSM/4G module, so as to implement downloading and uploading of information data, and the central node base station 104 collects, summarizes and classifies data information, and then uploads the data information to the database node 102.
The central processor 101 is configured to analyze and evaluate the growth condition of crops according to the farmland data, predict the yield of agricultural products based on the growth condition of the crops, collect market agricultural product demand information, and send out agricultural product yield supply information in combination with the predicted agricultural product yield; receiving a farmland data query request, and calling and displaying the corresponding farmland data according to the unique identifier.
In the embodiment of the present invention, the central processing unit 101 includes an AI expert 300 and an AI expert 400, and analyzes data of a soil humidity sensor, a temperature sensor, and a ph sensor in a mode of combining an artificial analysis and an AI intelligent analysis, and analyzes and evaluates the growth condition of crops by combining a crop image captured by a camera: firstly, providing expert suggestions according to the nutritional state and the pest and disease damage state of crops, and providing an optimal solution; and secondly, evaluating according to crop growth analysis, predicting crop yield grades, and sending out agricultural product yield supply information according to the prediction information.
The step of providing the expert advice includes the AI expert 300 first providing an analysis and evaluation result, then confirming a prediction result through the artificial expert 400, and adjusting the prediction result.
It can be understood that when agricultural products produced by crops are transferred to a customer client, in order to facilitate traceability of customers, the customers can scan identification codes on the surfaces of the agricultural products or packaging boxes by scanning the identification codes through mobile terminals, identify corresponding unique identifiers according to the identification codes, call corresponding farmland data according to the unique identifiers to display the farmland data to the mobile terminals, and facilitate traceability of the agricultural products by the customers.
Preferably, the mobile terminal may be hardware or software. When the mobile terminal is hardware, it may be various electronic devices having a communication function, including but not limited to a smart phone, a tablet computer, an e-book reader, an MP3 player, an MP4 player, a laptop portable computer, a desktop computer, and the like. When the mobile terminal is software, the software can be installed in the electronic device listed above. It may be implemented as multiple pieces of software or software modules, or as a single piece of software or software module. And is not particularly limited herein.
Therefore, the agricultural product intelligent product control system provided by the embodiment of the invention acquires farmland data in a planting area through the sensor node, and stores the farmland data in the planting area by using the database node and generates a unique identifier; the agricultural product management system comprises a central processing unit, a agricultural product management system and a agricultural product management system, wherein the central processing unit is used for analyzing and evaluating farmland data, timely mastering the growth condition of crops, predicting the yield of agricultural products based on the growth condition of the crops, collecting market agricultural product demand information, sending agricultural product yield and supply information in combination with the predicted agricultural product yield, timely mastering the market information, flexibly adjusting the supply of the agricultural products according to the market demands, tracing the agricultural products by consumers, knowing environmental data information and image data information of the growth of the agricultural products purchased by the consumers, and solving the problems that the farmland crops are inconvenient to manage and the agricultural products cannot be traced back in the.
Example two: fig. 2 shows a block diagram of a sensor node in an intelligent agricultural product control system according to an embodiment of the present invention.
Specifically, in a preferred embodiment provided by the present invention, the sensor node 103 specifically includes:
an environmental data acquisition unit 1031, configured to acquire soil environmental data in a planting area; and
and the image data acquisition unit 1032 is used for acquiring the crop image data in the planting area.
Example three: fig. 3 shows a block diagram of an environment data collecting unit 1031 in an intelligent product quality control system for agricultural products according to an embodiment of the present invention. In an embodiment of the present invention, the environmental data collecting unit 1031 specifically includes:
a humidity sensor 10311 for detecting soil humidity in the planting area to generate soil humidity information data;
a temperature sensor 10312 for detecting the soil temperature in the planting area to generate soil temperature information data; and
and the pH value sensor 10313 is used for detecting the pH value of the soil in the planting area and generating soil pH value information data.
Example four: fig. 4 shows a block diagram of an image data acquisition unit 1032 in the four-farm product intelligent quality control system according to the embodiment of the present invention. In a preferred embodiment provided by the present invention, the image data acquiring unit 1032 specifically includes:
a camera 10321 for capturing an image of a target crop in the planting area and generating crop image information data.
Example five: fig. 5 shows a block diagram of the central processor 101 of the five-agricultural-product intelligent quality control system according to the embodiment of the present invention. In a preferred embodiment provided by the present invention, the central processing unit 101 specifically includes:
an analysis and evaluation unit 1011 for analyzing and evaluating the growth condition of the crops according to the farmland data, and predicting the yield of the agricultural products based on the growth condition of the crops;
the information issuing unit 1012 is used for collecting market agricultural product demand information and sending agricultural product yield supply information outwards in combination with the predicted agricultural product yield; and
and the source tracing unit 1013 is configured to receive a farmland data query request, call the corresponding farmland data according to the unique identifier, and display the farmland data.
Example six: fig. 6 shows a block diagram of a source tracing unit 1013 in the six-agricultural-product intelligent product control system according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the source tracing unit 1013 specifically includes:
a request receiving unit 10131 for receiving a farmland data query request; and
and the calling and displaying unit 10132 is used for calling and displaying the corresponding farmland data according to the unique identifier.
Example seven: fig. 7 shows a flow chart of an intelligent agricultural product quality control method according to a seventh embodiment of the present invention.
An agricultural product intelligent quality control method 200, the method 200 comprising the steps of:
step 201: obtaining farmland data in a planting area, wherein the farmland data comprises environment data and image data; it can be understood that the sensor nodes in the embodiment of the present invention are distributed in a farmland planting area according to the requirement of intelligent product control of agricultural products, so as to detect farmland data in each target planting area, where the farmland data includes environment data and image data, the environment data is various indexes in soil, including but not limited to soil humidity, soil temperature, and soil ph, and of course, the environment data may also be data required for growth of other crops, which is not limited herein;
step 202: storing farmland data in the planting area and generating a unique identifier;
specifically, in the embodiment of the present invention, farmland data acquired by the sensor node 103 is received by the database node 102, and at the same time, the acquired farmland data needs to be stored and unique identifiers need to be generated for marking, where each unique identifier corresponds to farmland data of a specific crop in a specific time, for example, in a certain time period, a growth image of the crop and soil environment data of the crop at that time, such as soil humidity, soil temperature, soil acidity and alkalinity, and the like;
step 203: analyzing and evaluating the growth condition of crops according to the farmland data, predicting the yield of agricultural products based on the growth condition of the crops, collecting market agricultural product demand information and sending agricultural product yield supply information outwards by combining the predicted agricultural product yield;
step 204: and pasting an identification code corresponding to the unique identifier to the qualified agricultural products in the planting area, receiving a farmland data query request corresponding to the identification code, calling the corresponding farmland data according to the unique identifier and displaying the farmland data.
Example eight: the eighth embodiment of the present invention further provides a computer device, where the computer device includes a memory, a processor, and a computer program that is stored in the memory and is executable on the processor, and when the processor executes the computer program, the steps of the intelligent agricultural product control method are implemented.
Example nine: the ninth embodiment of the present invention further provides a storage medium, where the storage medium stores a computer program, and the computer program, when executed by a processor, implements the steps of the intelligent agricultural product control method.
Illustratively, a computer program can be partitioned into one or more modules, which are stored in memory and executed by a processor to implement the present invention. One or more of the modules may be a series of computer program instruction segments capable of performing certain functions, which are used to describe the execution of the computer program in the terminal device.
It will be appreciated by those skilled in the art that the above description of the terminal device is merely an example and is not intended to limit the terminal device, and that the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer memory, read-only memory, random access memory, electrical carrier wave signals, telecommunications signals, software distribution medium, and the like.
In summary, the intelligent agricultural product control system provided by the embodiment of the invention can predict the yield of agricultural products based on the growth conditions of crops, collect market agricultural product demand information, send agricultural product yield supply information to the outside in combination with the predicted agricultural product yield, timely master market information, flexibly adjust the supply of agricultural products according to market demands, enable consumers to trace the source of agricultural products, know the growth environment data information and image data information of agricultural products purchased by the consumers, and solve the problems that the rural crops are inconvenient to manage and the agricultural products cannot be traced in the prior art.
Alternatively, all or part of the implementation may be in software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (4)
1. Agricultural product intelligence quality control system, its characterized in that, including sensor node, database node and central processing unit, wherein:
the sensor node is used for acquiring farmland data in a planting area, wherein the farmland data comprises environment data and image data;
the database node is used for storing farmland data in the planting area and generating a unique identifier;
the central processing unit is used for analyzing and evaluating the growth condition of crops according to the farmland data, predicting the yield of agricultural products based on the growth condition of the crops, collecting market agricultural product demand information and sending agricultural product yield supply information outwards by combining the predicted agricultural product yield; receiving a farmland data query request, calling and displaying corresponding farmland data according to the unique identifier;
the sensor node specifically includes:
the environmental data acquisition unit is used for acquiring soil environmental data in the planting area; and
the image data acquisition unit is used for acquiring crop image data in a planting area;
the environment data acquisition unit specifically comprises:
the humidity sensor is used for detecting the soil humidity in the planting area and generating soil humidity information data;
the temperature sensor is used for detecting the soil temperature in the planting area and generating soil temperature information data; and
the pH sensor is used for detecting the pH of the soil in the planting area and generating soil pH information data;
the image data acquisition unit specifically includes:
the camera is used for capturing an image of a target crop in a planting area and generating crop image information data;
the agricultural product intelligent quality control system also comprises a central node base station, wherein the central node base station is used for receiving the farmland data, summarizing and classifying the farmland data and uploading the farmland data to the database node;
the central processor specifically comprises:
the analysis and evaluation unit is used for analyzing and evaluating the growth condition of the crops according to the farmland data and predicting the yield of the agricultural products based on the growth condition of the crops;
the information issuing unit is used for collecting market agricultural product demand information and sending agricultural product yield supply information outwards in combination with the predicted agricultural product yield; and
the source tracing unit is used for receiving a farmland data query request, calling and displaying the corresponding farmland data according to the unique identifier;
the source tracing unit specifically comprises:
the request receiving unit is used for receiving a farmland data query request; and
and the calling and displaying unit is used for calling and displaying the corresponding farmland data according to the unique identifier.
2. An intelligent agricultural product control method is characterized by comprising the following steps:
obtaining farmland data in a planting area, wherein the farmland data comprises environment data and image data;
storing farmland data in the planting area and generating a unique identifier;
analyzing and evaluating the growth condition of crops according to the farmland data, predicting the yield of agricultural products based on the growth condition of the crops, collecting market agricultural product demand information and sending agricultural product yield supply information outwards by combining the predicted agricultural product yield;
and pasting an identification code corresponding to the unique identifier to the qualified agricultural products in the planting area, receiving a farmland data query request corresponding to the identification code, calling the corresponding farmland data according to the unique identifier and displaying the farmland data.
3. Computer device, characterized in that it comprises a memory, a processor and a computer program stored in said memory and executable on said processor, said processor implementing the steps of the agricultural product intelligence method according to claim 2 when executing said computer program.
4. Storage medium, characterized in that it stores a computer program that when executed by a processor implements the steps of the agricultural product intelligent control method according to claim 2.
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| CN202011334150.8A CN112329709A (en) | 2020-11-25 | 2020-11-25 | Intelligent agricultural product control system, method, computer equipment and storage medium |
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| CN202011334150.8A CN112329709A (en) | 2020-11-25 | 2020-11-25 | Intelligent agricultural product control system, method, computer equipment and storage medium |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113626627A (en) * | 2021-08-11 | 2021-11-09 | 河北时代电子有限公司 | Method and system for analyzing characteristics of agricultural big data |
| CN114119042A (en) * | 2021-11-08 | 2022-03-01 | 支付宝(杭州)信息技术有限公司 | Agricultural product tracing method and device |
| CN114743100A (en) * | 2022-04-06 | 2022-07-12 | 布瑞克(苏州)农业互联网股份有限公司 | Agricultural product growth monitoring method and system |
| CN116703468A (en) * | 2023-08-01 | 2023-09-05 | 北京佳格天地科技有限公司 | Agricultural product marketing method, system and storage medium based on big data |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109146130A (en) * | 2018-07-06 | 2019-01-04 | 河北溯源大数据信息技术有限公司 | Agricultural product customization is planted and whole process is traced to the source platform and method |
| KR20190100541A (en) * | 2018-02-09 | 2019-08-29 | 충북대학교 산학협력단 | Smart farm management system using data analysis technique |
| CN110850775A (en) * | 2019-11-20 | 2020-02-28 | 吉林省稷坤农业科技有限公司 | Environmental data wireless monitoring system for intelligent agriculture and working method thereof |
| CN110969446A (en) * | 2019-11-18 | 2020-04-07 | 清远康润农业科技有限公司 | Agricultural product safety tracing method and system based on Internet of things |
| CN111507857A (en) * | 2020-04-22 | 2020-08-07 | 青岛逸景数字科技有限公司 | Digital agricultural planting system and method based on Internet of things technology |
-
2020
- 2020-11-25 CN CN202011334150.8A patent/CN112329709A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20190100541A (en) * | 2018-02-09 | 2019-08-29 | 충북대학교 산학협력단 | Smart farm management system using data analysis technique |
| CN109146130A (en) * | 2018-07-06 | 2019-01-04 | 河北溯源大数据信息技术有限公司 | Agricultural product customization is planted and whole process is traced to the source platform and method |
| CN110969446A (en) * | 2019-11-18 | 2020-04-07 | 清远康润农业科技有限公司 | Agricultural product safety tracing method and system based on Internet of things |
| CN110850775A (en) * | 2019-11-20 | 2020-02-28 | 吉林省稷坤农业科技有限公司 | Environmental data wireless monitoring system for intelligent agriculture and working method thereof |
| CN111507857A (en) * | 2020-04-22 | 2020-08-07 | 青岛逸景数字科技有限公司 | Digital agricultural planting system and method based on Internet of things technology |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113626627A (en) * | 2021-08-11 | 2021-11-09 | 河北时代电子有限公司 | Method and system for analyzing characteristics of agricultural big data |
| CN114119042A (en) * | 2021-11-08 | 2022-03-01 | 支付宝(杭州)信息技术有限公司 | Agricultural product tracing method and device |
| CN114743100A (en) * | 2022-04-06 | 2022-07-12 | 布瑞克(苏州)农业互联网股份有限公司 | Agricultural product growth monitoring method and system |
| CN116703468A (en) * | 2023-08-01 | 2023-09-05 | 北京佳格天地科技有限公司 | Agricultural product marketing method, system and storage medium based on big data |
| CN116703468B (en) * | 2023-08-01 | 2024-05-07 | 北京佳格天地科技有限公司 | Agricultural product marketing method, system and storage medium based on big data |
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