CN116452219A - Organic agricultural product credible tracing method and system based on blockchain - Google Patents
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Abstract
The invention provides a block chain-based organic agricultural product credible tracing method and system. The method comprises the following steps: building private chain platforms corresponding to farmlands one by one; acquiring growth data corresponding to each growth stage according to the growth habit of the organic agricultural products planted in the farmland, and inputting the growth data into a planting supervision model to acquire corresponding planting measures; planting actions are implemented on the organic agricultural products in the farmland based on the planting measures, and planting data contained in the planting measures and the planting actions and all the growth data are uploaded to corresponding private chain platforms; after the organic agricultural products in the farmland are ripe, uploading planting data and growth data in the private chain platform to the public chain platform; acquiring seller purchase data and transportation data corresponding to the organic agricultural products and uploading the seller purchase data and the transportation data to a public chain platform; after the source code reaches the transportation destination, the source code is generated based on the growth data, the planting data, the purchase data and the transportation data. The invention ensures benign development of agricultural product market and maintains the right rights and interests of consumers.
Description
Technical Field
The invention relates to the technical field of trusted traceability of organic agricultural products, in particular to a method and a system for trusted traceability of organic agricultural products based on a blockchain.
Background
Since most food products are produced by using agricultural products as direct or indirect raw materials. Ensuring the safety of agricultural products is therefore a key to improving food safety.
With the increase of the material level, the demand of agricultural products tends to be purely natural, pollution-free, high-quality and the like, so that the market share of organic agricultural products is gradually increased. However, in the actual transaction process of the organic agricultural products, people find that the market behavior of using the common agricultural products to replace the organic agricultural products often exists because the organic agricultural products have no obvious difference from the common agricultural products in appearance and eating experience.
The root cause of the method is that an effective credible tracing means is lacking, so that the agricultural product market and consumers can completely and accurately acquire relevant real information in the whole production and sale processes of the organic agricultural products.
Disclosure of Invention
The invention aims to provide a block chain-based organic agricultural product credible tracing method and system, which are used for solving the technical problems that the market development of agricultural products is disordered and the rights and interests of consumers are difficult to protect due to the lack of a credible tracing means of organic agricultural products.
In order to achieve the above purpose, the present invention proposes the following technical scheme:
a trusted traceability method of organic agricultural products based on blockchain comprises the following steps:
acquiring growth data corresponding to each growth stage according to the growth habit of the organic agricultural products planted in the farmland, and then inputting the growth data into a planting supervision model to acquire corresponding planting measures;
planting behaviors are implemented on the organic agricultural products in the farmland based on the planting measures, and planting data contained in the planting measures and the planting behaviors and all the growth data are uploaded to a private chain platform corresponding to the farmland; the private chain platforms are in one-to-one correspondence with farmlands;
after the organic agricultural products in the farmland are ripe, uploading all the planting data and all the growth data in the private chain platform to a public chain platform;
acquiring purchase data and transportation data of sellers corresponding to the organic agricultural products and synchronously uploading the purchase data and the transportation data to a public chain platform; and generating a tracing code based on the growth data, the planting data, the purchase data and the transportation data of the organic agricultural products after the organic agricultural products reach the transportation destination.
Further, the method comprises the steps of obtaining the planting supervision model, and comprises the following steps:
acquiring growth data corresponding to each growth stage of a plurality of organic agricultural products as training samples;
and generating a training set and a testing set based on the training sample, and training an initial supervision model based on the training set and the testing set until the planting supervision model is obtained.
Further, the method comprises the steps of:
counting the types of all organic agricultural products in all farmlands to construct a plurality of alliance chain platforms; wherein the alliance chain platforms are in one-to-one correspondence with the types of the organic agricultural products;
and uploading the growth data, the planting data, the purchase data and the transportation data of the organic agricultural products in all farmlands to the corresponding alliance chain platforms respectively.
Further, the method comprises the steps of:
counting all purchase data of a public chain platform to obtain the total sales number and the total sales amount of various organic agricultural products;
and guiding the planting area of each new round of organic agricultural products based on the sales total number and the sales total amount.
Further, the method comprises the steps of:
uploading predetermined information to a public chain platform by a seller; wherein the predetermined information includes buyer information, purchase quantity, and purchase order;
the public chain platform sends the purchase quantity and the purchase order to the corresponding private chain platform based on the buyer information.
A blockchain-based organic agricultural product trusted traceability system comprising:
the first acquisition module is used for acquiring growth data corresponding to each growth stage according to the growth habit of the organic agricultural products planted in the farmland, and then inputting the growth data into the planting supervision model to acquire corresponding planting measures;
the first uploading module is used for implementing planting behaviors on the organic agricultural products in the farmland based on the planting measures, and uploading the planting measures, planting data contained in the planting behaviors and the growth data to private chain platforms corresponding to the farmland, wherein the private chain platforms are in one-to-one correspondence with the farmland;
the second uploading module is used for uploading all the planting data and all the growth data in the private chain platform to the public chain platform after the organic agricultural products in the farmland are ripe;
the second acquisition module is used for acquiring purchase data and transportation data of sellers corresponding to the organic agricultural products and synchronously uploading the purchase data and the transportation data to the public chain platform; and generating a tracing code based on the growth data, the planting data, the purchase data and the transportation data of the organic agricultural products after the organic agricultural products reach the transportation destination.
Further, the method comprises the steps of:
the third acquisition module is used for acquiring growth data corresponding to each growth stage of a plurality of organic agricultural products as training samples;
and the model training module is used for generating a training set and a testing set based on the training sample, and training an initial supervision model based on the training set and the testing set until the planting supervision model is obtained.
Further, the method comprises the steps of:
the first statistics module is used for counting the types of all organic agricultural products in all farmlands to construct a plurality of alliance chain platforms; wherein the alliance chain platforms are in one-to-one correspondence with the types of the organic agricultural products;
and the third uploading module is used for uploading the growth data, the planting data, the purchase data and the transportation data of all the organic agricultural products in the farmland to the corresponding alliance chain platform respectively.
Further, the method comprises the steps of:
the second statistics module is used for counting all purchase data of the public chain platform to obtain the total sales number and the total sales amount of various organic agricultural products;
and the first guiding module is used for guiding the planting area of each new round of organic agricultural product based on the sales total number and the sales total number.
Further, the method comprises the steps of:
the fourth uploading module is used for uploading the preset information to the public chain platform by the seller; wherein the predetermined information includes buyer information, purchase quantity, and purchase order;
and the sending module is used for sending the purchase quantity and the purchase order to the corresponding private chain platform based on the buyer information by the public chain platform.
The beneficial effects are that:
according to the technical scheme, the technical scheme of the invention provides a block chain-based organic agricultural product credible tracing method to overcome the technical defect that effective credible tracing of organic agricultural products cannot be performed in the prior art.
The method specifically comprises the following steps: acquiring growth data corresponding to each growth stage according to the growth habit of the organic agricultural products planted in the farmland, and then inputting the growth data into a planting supervision model to acquire corresponding planting measures; planting behaviors are implemented on the organic agricultural products in the farmland based on the planting measures, planting data contained in the planting measures and the planting behaviors and all the growing data are uploaded to private chain platforms corresponding to the farmland, wherein the private chain platforms are in one-to-one correspondence with the farmland; after the organic agricultural products in the farmland are ripe, uploading all the planting data and all the growth data in the private chain platform to a public chain platform; acquiring purchase data and transportation data of sellers corresponding to the organic agricultural products and synchronously uploading the purchase data and the transportation data to a public chain platform; and generating a tracing code based on the growth data, the planting data, the purchase data and the transportation data of the organic agricultural products after the organic agricultural products reach the transportation destination.
In the method, the blockchain technology is introduced firstly, specifically, the private chain platform corresponding to each farmland is introduced to record each actual data of the organic agricultural products in the growth process, and the public chain platform related to each private chain platform is introduced to acquire the growth data of all the organic agricultural products, and the purchase data and the transportation data in the subsequent transaction. The information of the block chain technology is not tamperable, so that the effective record and credible traceability of all data of the organic agricultural products from the planting stage to the transportation stage are realized. And secondly, introducing a digital watermarking technology, and realizing direct credible tracing of the final actual purchaser of the transaction link on the organic agricultural products based on tracing codes containing growth data, planting data, purchase data and transportation data corresponding to the organic agricultural products. In addition, a machine learning technology is introduced, the planting process is effectively supervised and guided, the rationality of the planting process of the organic agricultural products is further improved, and the rights and interests of consumers are ensured.
It should be understood that all combinations of the foregoing concepts, as well as additional concepts described in more detail below, may be considered a part of the inventive subject matter of the present disclosure as long as such concepts are not mutually inconsistent.
The foregoing and other aspects, embodiments, and features of the present teachings will be more fully understood from the following description, taken together with the accompanying drawings. Other additional aspects of the invention, such as features and/or advantages of the exemplary embodiments, will be apparent from the description which follows, or may be learned by practice of the embodiments according to the teachings of the invention.
Drawings
The drawings are not intended to be drawn to scale. In the drawings, each identical or nearly identical component that is illustrated in various figures may be represented by a like numeral. For purposes of clarity, not every component may be labeled in every drawing. Embodiments of various aspects of the invention will now be described, by way of example, with reference to the accompanying drawings, in which:
FIG. 1 is a flow chart of a method for trusted tracing of blockchain-based organic agricultural products according to the present embodiment;
FIG. 2 is a flowchart for acquiring the plant supervision model;
FIG. 3 is a flow chart of a method of improving management of organic agricultural products;
FIG. 4 is a flow chart of a method of optimizing the planting area of an organic agricultural product;
FIG. 5 is a flow chart of a method of making an organic agricultural product pre-sale.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by a person skilled in the art without creative efforts, based on the described embodiments of the present invention fall within the protection scope of the present invention. Unless defined otherwise, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this invention belongs.
The terms "first," "second," and the like in the description and in the claims, are not used for any order, quantity, or importance, but are used for distinguishing between different elements. Also, unless the context clearly indicates otherwise, singular forms "a," "an," or "the" and similar terms do not denote a limitation of quantity, but rather denote the presence of at least one. The terms "comprises," "comprising," or the like are intended to cover a feature, integer, step, operation, element, and/or component recited as being present in the element or article that "comprises" or "comprising" does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. "up", "down", "left", "right" and the like are used only to indicate a relative positional relationship, and when the absolute position of the object to be described is changed, the relative positional relationship may be changed accordingly.
The existing agricultural products are mainly divided into three types of common agricultural products, green agricultural products and organic agricultural products. Among them, organic agricultural products gradually occupy a larger market share due to advantages of no pollution, high quality, etc. However, since there is no obvious difference in appearance between the organic agricultural products and the common agricultural products, even the green agricultural products, and there is no effective trusted tracing method in the existing agricultural product transaction mechanism, there is often a behavior of using other agricultural products to replace the organic agricultural products in the agricultural product market, thereby simultaneously adversely affecting the market order and consumer benefits. The present embodiment is therefore directed to providing a method for trusted tracing of blockchain-based organic agricultural products to ameliorate the above-mentioned drawbacks.
The following specifically describes a trusted source tracing method for organic agricultural products based on blockchain, which is disclosed in the embodiment with reference to the accompanying drawings.
As shown in fig. 1, the method comprises the steps of:
and S102, acquiring growth data corresponding to each growth stage according to the growth habit of the organic agricultural products planted in the farmland, and inputting the growth data into a planting supervision model to acquire corresponding planting measures.
In particular implementations, the growth data includes: plant height, stem diameter, leaf size, leaf chlorophyll content, flower quantity, flower diameter, fruit bearing rate, fruit size, etc.
And step S104, planting behaviors are implemented on the organic agricultural products in the farmland based on the planting measures, planting data contained in the planting measures and the planting behaviors and all the growth data are uploaded to private chain platforms corresponding to the farmland, wherein the private chain platforms are in one-to-one correspondence with the farmland.
In particular implementations, the planting data includes: watering time, watering amount, fertilizing type, fertilizing amount, fertilizing time, weeding time, illumination time length, illumination rate and the like.
And step S106, uploading all the planting data and all the growth data in the private chain platform to a public chain platform after the organic agricultural products in the farmland are mature.
Step S108, acquiring purchase data and transportation data of sellers corresponding to the organic agricultural products and synchronously uploading the purchase data and the transportation data to a public chain platform; and generating a tracing code based on the growth data, the planting data, the purchase data and the transportation data of the organic agricultural products after the organic agricultural products reach the transportation destination.
As a specific embodiment, as shown in fig. 2, the plant supervision model is obtained by the following procedure:
step S202, obtaining growth data corresponding to each growth stage of a plurality of organic agricultural products as training samples.
And step S204, generating a training set and a testing set based on the training sample, and training an initial supervision model based on the training set and the testing set until the planting supervision model is obtained.
At this time, the planting supervision model with stable and reliable output results is obtained through iterative training in steps S202 to S204. In specific implementation, the ending of the iterative training can take the accuracy rate of model output as an index, and can also take the number of iterative training to reach the preset number of iterative training as an index.
As an alternative embodiment, as shown in fig. 3, in order to improve the logic of the management of the organic agricultural product, it further includes:
step S302, counting the types of all organic agricultural products in all farmlands to construct a plurality of alliance chain platforms; wherein the alliance chain platform corresponds to the types of the organic agricultural products one by one.
And step S304, respectively uploading the growth data, the planting data, the purchase data and the transportation data of all the organic agricultural products in the farmland to the corresponding alliance chain platform.
At this time, the organic agricultural products of the same type can be classified and managed based on the alliance chain platform through the steps S302 to S304.
As a preferred embodiment, as shown in fig. 4, the subsequent planting is directed to improve the rationality of the planting of the organic agricultural products based on the results of the present round of sales. The method also comprises the following steps:
and step S402, counting all purchase data of the public chain platform to obtain the total sales number and the total sales amount of various organic agricultural products.
And step S404, guiding the planting area of each organic agricultural product in a new round based on the sales total number and the sales total amount.
In specific implementation, the ratio of the total sales of any organic agricultural product to the total sales of all agricultural products is taken as a first weight, the ratio of the total sales of any organic agricultural product to the total sales of all agricultural product amounts is taken as a second weight, the sum of the first weight and the second weight is taken as a final weight corresponding to any organic agricultural product, and the product of the final weight and the total farmland area is taken as the reference planting area of the corresponding organic agricultural product.
At this time, the planting rationality of various organic agricultural products is effectively improved, and the occurrence of diapause is also prevented when the market demand is met.
As a further preferred embodiment, as shown in FIG. 5, the pre-selling of the organic agricultural product may also be performed by the following steps.
Step S502, uploading preset information to a public chain platform by a seller; wherein the predetermined information includes buyer information, purchase quantity, and purchase order.
Step S504, the public chain platform sends the purchase quantity and the purchase order to the corresponding private chain platform based on the buyer information.
At this time, the transaction duration can be shortened through steps S502 to S504 while optimizing the demands of the buyer and the seller.
The above-described programs may be run on a processor or may also be stored in memory (or referred to as computer-readable media), including both permanent and non-permanent, removable and non-removable media, and information storage may be implemented by any method or technique. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transshipment) such as modulated data signals and carrier waves.
These computer programs may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks and/or block diagram block or blocks, and corresponding steps may be implemented in different modules.
The embodiment also provides a block chain-based organic agricultural product credible tracing system. The system comprises:
the first acquisition module is used for acquiring growth data corresponding to each growth stage according to the growth habit of the organic agricultural products planted in the farmland, and then inputting the growth data into the planting supervision model to acquire corresponding planting measures.
The first uploading module is used for implementing planting behaviors on the organic agricultural products in the farmland based on the planting measures, uploading the planting measures, planting data contained in the planting behaviors and the growth data to private chain platforms corresponding to the farmland, wherein the private chain platforms are in one-to-one correspondence with the farmland.
And the second uploading module is used for uploading all the planting data and all the growth data in the private chain platform to the public chain platform after the organic agricultural products in the farmland are ripe.
The second acquisition module is used for acquiring purchase data and transportation data of sellers corresponding to the organic agricultural products and synchronously uploading the purchase data and the transportation data to the public chain platform; and generating a tracing code based on the growth data, the planting data, the purchase data and the transportation data of the organic agricultural products after the organic agricultural products reach the transportation destination.
The system is used for realizing the functions of the trusted tracing method for the organic agricultural products in the above embodiment, and each module in the system corresponds to each step in the method, which has been described in the method, and will not be described in detail here.
For example, it includes:
and the third acquisition module is used for acquiring growth data corresponding to each growth stage of the plurality of organic agricultural products as training samples.
And the model training module is used for generating a training set and a testing set based on the training sample, and training an initial supervision model based on the training set and the testing set until the planting supervision model is obtained.
For example, it includes:
the first statistics module is used for counting the types of all organic agricultural products in all farmlands to construct a plurality of alliance chain platforms; wherein the alliance chain platform corresponds to the types of the organic agricultural products one by one.
And the third uploading module is used for uploading the growth data, the planting data, the purchase data and the transportation data of all the organic agricultural products in the farmland to the corresponding alliance chain platform respectively.
For another example, it includes:
and the second statistics module is used for counting all purchase data of the public chain platform to obtain the total sales number and the total sales number of various organic agricultural products.
And the first guiding module is used for guiding the planting area of each new round of organic agricultural product based on the sales total number and the sales total number.
For another example, it includes:
the fourth uploading module is used for uploading the preset information to the public chain platform by the seller; wherein the predetermined information includes buyer information, purchase quantity, and purchase order.
And the sending module is used for sending the purchase quantity and the purchase order to the corresponding private chain platform based on the buyer information by the public chain platform.
Because the system is built based on the method, the system effectively solves the problem of credible tracing of the organic agricultural products in actual implementation, and ensures the rights and interests of consumers and food safety while maintaining the market stability of the agricultural products.
While the invention has been described with reference to preferred embodiments, it is not intended to be limiting. Those skilled in the art will appreciate that various modifications and adaptations can be made without departing from the spirit and scope of the present invention. Accordingly, the scope of the invention is defined by the appended claims.
Claims (10)
1. The method for trusted tracing of the organic agricultural products based on the blockchain is characterized by comprising the following steps of:
acquiring growth data corresponding to each growth stage according to the growth habit of the organic agricultural products planted in the farmland, and then inputting the growth data into a planting supervision model to acquire corresponding planting measures;
planting behaviors are implemented on the organic agricultural products in the farmland based on the planting measures, and planting data contained in the planting measures and the planting behaviors and all the growth data are uploaded to a private chain platform corresponding to the farmland; the private chain platforms are in one-to-one correspondence with farmlands;
after the organic agricultural products in the farmland are ripe, uploading all the planting data and all the growth data in the private chain platform to a public chain platform;
acquiring purchase data and transportation data of sellers corresponding to the organic agricultural products and synchronously uploading the purchase data and the transportation data to a public chain platform; and generating a tracing code based on the growth data, the planting data, the purchase data and the transportation data of the organic agricultural products after the organic agricultural products reach the transportation destination.
2. The blockchain-based organic agricultural product credible tracing method of claim 1, comprising obtaining the planting supervision model, comprising:
acquiring growth data corresponding to each growth stage of a plurality of organic agricultural products as training samples;
and generating a training set and a testing set based on the training sample, and training an initial supervision model based on the training set and the testing set until the planting supervision model is obtained.
3. The blockchain-based organic agricultural product trusted tracing method of claim 1, comprising:
counting the types of all organic agricultural products in all farmlands to construct a plurality of alliance chain platforms; wherein the alliance chain platforms are in one-to-one correspondence with the types of the organic agricultural products;
and uploading the growth data, the planting data, the purchase data and the transportation data of the organic agricultural products in all farmlands to the corresponding alliance chain platforms respectively.
4. The blockchain-based organic agricultural product trusted tracing method of claim 1, comprising:
counting all purchase data of a public chain platform to obtain the total sales number and the total sales amount of various organic agricultural products;
and guiding the planting area of each new round of organic agricultural products based on the sales total number and the sales total amount.
5. The blockchain-based organic agricultural product trusted tracing method of claim 1, comprising:
uploading predetermined information to a public chain platform by a seller; wherein the predetermined information includes buyer information, purchase quantity, and purchase order;
the public chain platform sends the purchase quantity and the purchase order to the corresponding private chain platform based on the buyer information.
6. A blockchain-based organic agricultural product trusted traceability system, comprising:
the first acquisition module is used for acquiring growth data corresponding to each growth stage according to the growth habit of the organic agricultural products planted in the farmland, and then inputting the growth data into the planting supervision model to acquire corresponding planting measures;
the first uploading module is used for implementing planting behaviors on the organic agricultural products in the farmland based on the planting measures, and uploading the planting measures, planting data contained in the planting behaviors and the growth data to a private chain platform corresponding to the farmland; the private chain platforms are in one-to-one correspondence with farmlands;
the second uploading module is used for uploading all the planting data and all the growth data in the private chain platform to the public chain platform after the organic agricultural products in the farmland are ripe;
the second acquisition module is used for acquiring purchase data and transportation data of sellers corresponding to the organic agricultural products and synchronously uploading the purchase data and the transportation data to the public chain platform; and generating a tracing code based on the growth data, the planting data, the purchase data and the transportation data of the organic agricultural products after the organic agricultural products reach the transportation destination.
7. The blockchain-based organic agricultural product trusted traceability system of claim 6, comprising:
the third acquisition module is used for acquiring growth data corresponding to each growth stage of a plurality of organic agricultural products as training samples;
and the model training module is used for generating a training set and a testing set based on the training sample, and training an initial supervision model based on the training set and the testing set until the planting supervision model is obtained.
8. The blockchain-based organic agricultural product trusted traceability system of claim 6, comprising:
the first statistics module is used for counting the types of all organic agricultural products in all farmlands to construct a plurality of alliance chain platforms; wherein the alliance chain platforms are in one-to-one correspondence with the types of the organic agricultural products;
and the third uploading module is used for uploading the growth data, the planting data, the purchase data and the transportation data of all the organic agricultural products in the farmland to the corresponding alliance chain platform respectively.
9. The blockchain-based organic agricultural product trusted traceability system of claim 6, comprising:
the second statistics module is used for counting all purchase data of the public chain platform to obtain the total sales number and the total sales amount of various organic agricultural products;
and the first guiding module is used for guiding the planting area of each new round of organic agricultural product based on the sales total number and the sales total number.
10. The blockchain-based organic agricultural product trusted traceability system of claim 6, comprising:
the fourth uploading module is used for uploading the preset information to the public chain platform by the seller; wherein the predetermined information includes buyer information, purchase quantity, and purchase order;
and the sending module is used for sending the purchase quantity and the purchase order to the corresponding private chain platform based on the buyer information by the public chain platform.
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| CN202310248396.0A CN116452219A (en) | 2023-03-15 | 2023-03-15 | Organic agricultural product credible tracing method and system based on blockchain |
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