Agricultural product traceability information processing system and method based on block chain

Abstract

The invention belongs to the technical field of information processing, and discloses an agricultural product traceability information processing system and method based on a block chain, and the system comprises: a data collection module which is used for collecting production enterprises, production links, logistics information, consumption features and related information; a data processing module which is used for generating a Merkel tree based on a block data processing technology and series hash, stamping a timestamp and processing the data by an asymmetric encryption technology; a dataverification module which is used for performing data verification on the authentication node of each link through a consensus mechanism; and a data feedback module which is used for feeding back datato a production enterprise and performing agricultural product traceability and logistics management at the same time. The invention discloses a set of data structure conforming to agricultural product traceability, which takes agricultural product production enterprises as main data sources and is matched with logistics tracking information and sales information to ensure that reliable information traceability from farmland to dining tables is provided for consumers.

Description

technical field [0001] The invention belongs to the technical field of information processing, and in particular relates to a blockchain-based agricultural product traceability information processing system and method. Background technique [0002] At present, the commonly used existing technologies in the industry are as follows: the process of agricultural informatization in my country is tortuous and bumpy. Due to the existence of many uncertain factors in the seasonal, regional and periodic attributes of agricultural production, it is impossible to quantitatively analyze the various aspects of agricultural production. The development process of mutual influence, different data centers have huge differences in data interaction and data sharing due to different data collection modes, which is the main reason for the difficulties in agricultural informatization. In addition, farmers' Internet thinking is backward, especially in the central and western regions, where the educ...

AI Technical Summary

Problems solved by technology

[0002] At present, the existing technologies commonly used in the industry are as follows: the process of agricultural informatization in our country is tortuous and bumpy. Due to the existence of many uncertain factors in the seasonal, regional and periodic attributes of agricultural production, it is impossible to quantitatively analyze the various aspects of agricultural production. The development process of mutual influence, different data centers have huge differences in data interaction and data sharing due to different data collection modes, which is the main reason for the difficulty of agricultural informatization

In addition, farmers' Internet thinking is backward, especially in the central and western regions, where the education level and information skills of informatization subjects are low, which directly limits the development level and speed of agricultural informatization

For cold chain distribution suitable for agriculture, the storage conditions are low in rural areas, which hinders the long-distance transportation and large-scale storage of agricultural products

[0003] To sum up, the problems existing in the existing technology are: the existing agricultural informatization is relatively difficult, and farmers as the main body of informatization have a low level of education and information skills; it is suitable for agricultural cold chain distribution, and the storage conditions are constructed in rural areas The degree is low, which hinders the long-distance transportation and large-scale storage of agricultural products; at the same time, there is no perfect traceability technology or method for agricultural products in the existing technology, and it is impossible to achieve accurate traceability of agricultural products, and the information in the production of agricultural products is asymmetric

On the other hand, to eliminate the problem of data errors, in the test phase, during the rollback process after the data is uploaded to the chain, individual data will deviate from the actual uploaded data, and even a small one will greatly affect the accuracy of the traceability results. Therefore, eliminating errors in the rollback process is also a major technical problem

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