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Design and Implementation of Traceability System for Beef Cattle Product Quality and Safety

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DOI: 10.23977/msom.2023.040508 | Downloads: 24 | Views: 352

Author(s)

Yun Xiong 1, Muhe Shi 1, Deng Cao 1

Affiliation(s)

1 Chengdu University of Technology, Chengdu, China

Corresponding Author

Yun Xiong

ABSTRACT

The demand for high-quality and safe beef products is increasing as consumers prioritize traceability and food safety. However, the beef product market faces challenges in terms of information sharing and traceability, leading to safety concerns. Establishing a comprehensive traceability system for Chinese beef cattle products can address these issues and enhance the modernization of animal husbandry production and international competitiveness. This study presents a four-layer architecture for a beef product quality and safety traceability system, incorporating identification technology, data synchronization, and data management. RFID and QR code technologies are utilized for individual cattle tracking, while data synchronization ensures efficient communication between the backend and frontend. Data management and analysis technologies enable real-time monitoring of breeding, feeding, and slaughtering processes. The system design includes modules for data collection, processing and storage, analysis and application, traceability queries, alarms, and system management. The study emphasizes the importance of implementing a traceability system for Chinese beef cattle products to meet consumer demands, enhance animal husbandry production, and improve international competitiveness. The proposed architecture and system design aim to provide a reliable and efficient solution for ensuring the quality and safety of beef products, benefiting both consumers and regulatory authorities.

KEYWORDS

Beef cattle, traceability, systems, quality and safety

CITE THIS PAPER

Yun Xiong, Muhe Shi, Deng Cao, Design and Implementation of Traceability System for Beef Cattle Product Quality and Safety. Manufacturing and Service Operations Management (2023) Vol. 4: 58-67. DOI: http://dx.doi.org/10.23977/msom.2023.040508.

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