Identification sensing-based beef whole-chain traceability and quality evaluation method and identification sensing-based beef whole-chain traceability and quality evaluation system

By acquiring multi-source data from the cattle breeding process, calculating activity intensity characteristics and core temperature, and combining Raman spectroscopy detection, we have achieved full-chain traceability and quality assessment of beef. This solves the problems of data fusion analysis and quality mapping in existing technologies and provides technical support for accurate traceability and quality evaluation.

CN122390762APending Publication Date: 2026-07-14ANHUI AGRICULTURAL UNIVERSITY
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Patent Information

Application Number
CN202610549005.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-23
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

Existing technologies cannot achieve multi-source data fusion analysis and cross-stage quality mapping throughout the entire breeding process, resulting in the inability to achieve accurate traceability and quality prediction of beef products.

Method used

By acquiring multi-source data from the cattle breeding process, we calculate activity intensity characteristics to determine behavioral status, estimate core temperature by combining body surface temperature, activity intensity characteristics, and temperature and humidity, calculate the animal welfare index, and obtain the chemical composition of meat products through Raman spectroscopy detection. We then construct a mapping relationship between the animal welfare index and meat quality to generate visualized full-chain traceability information.

Benefits of technology

It has enabled the fusion analysis of multi-source data and cross-stage quality mapping throughout the entire cattle breeding process, providing accurate traceability and quality assessment of beef products, and improving information transparency and market trust.

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Abstract

The invention provides a beef whole-chain traceability and quality evaluation method and system based on identification sensing, relates to the technical field of intelligent breeding and food quality traceability, and solves the technical problem that multi-source data fusion analysis and cross-stage quality mapping in the whole breeding process cannot be realized in the prior art. The method specifically comprises the following steps: acquiring cattle multi-source data; the behavior state of the cattle is judged by calculating activity intensity characteristics based on the behavior data; estimating the core temperature of the cattle based on the body surface temperature, the activity intensity characteristics and the temperature and humidity; calculating an animal welfare index based on the core temperature, the activity intensity characteristics and the environmental data; the fat content and the protein content of the beef sample are obtained through Raman spectrum detection, and the mapping relation between the animal welfare index and the fat content and the protein content is constructed; and performing weighted summation on the fat content and the protein content to obtain a meat quality evaluation index, generating beef product full-link traceability information, and performing visual display. The method is used for beef quality tracing.
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