Quality and safety traceability system of agricultural products based on Multi-Agent

Song, Yanyan; Cuicui, Lv; Liu, Junxian

doi:10.3233/jifs-169625

Cited by 6 publications

(1 citation statement)

References 9 publications

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“…By analyzing and dismantling the supply chain process, they designed and developed an agricultural supply chain management system based on RFID tag technology. They proposed a traceability model for visualizing the quality of agricultural products, providing a reference for achieving full traceability; Song Yongjie et al [12] designed a traceability system framework based on multi-agent and Internet of Things technology to better control the quality of agricultural products. They combined Agent technology with the agricultural product quality and safety traceability system, and the designed chain system improved the pertinence of controlling agricultural product quality.…”

Section: Introductionmentioning

confidence: 99%

Design of Safety Evaluation and Risk Traceability System for Agricultural Product Quality

Li,

Lu,

Bian

et al. 2024

Applied Sciences

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The quality and safety of agricultural products involve a variety of risk factors, a large amount of risk information data, and multiple circulation and disposal processes, making it difficult to accurately trace the source of risks. To achieve precise traceability of agricultural product quality and safety, the monitoring and supervision level of agricultural product traceability systems needs to be improved. In this paper, the agricultural product quality- and safety-related detection data are taken as the research object, the agricultural product supply chain and business process are sorted out, the agricultural product risk factors under the influence of heavy metals are analyzed, and the agricultural product quality and safety risk evaluation model is established. The agricultural product risk traceability system was designed based on the six-layer architecture of the equipment layer, data layer, service layer, application layer, display layer, and user layer. Combined with the agricultural product quality and safety risk evaluation model, the system data were stored and modified by using the MySQL relational database, and the agricultural product risk traceability system was developed, which realized the accurate traceability of the risk link of the quality and safety of agricultural products. The research results of this paper provide an effective information means for the quality and safety supervision of agricultural products, and provide a technical reference for the development of a traceability system of risk factors related to agricultural products, which has good practical significance.

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Section: Introductionmentioning

confidence: 99%

Design of Safety Evaluation and Risk Traceability System for Agricultural Product Quality

Li,

Lu,

Bian

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

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Examining the interplay between artificial intelligence and the agri-food industry

Rejeb

Zailani

et al. 2022

Artificial Intelligence in Agriculture

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Tracing Information for Agricultural Product and Identifying Key Regulatory Decisions towards Eco-Economics Sustainability

Zhang

2022

Mathematical Problems in Engineering

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Information traceability of agricultural products is of vital importance in the supply chain in the ongoing wave of big data relying on a group of advanced technologies, such as blockchain. This paper investigates how to effectively supervise and manage the agricultural supply chain with regard to information traceability. Starting from establishing a system framework for tracing and querying information by applying BigchainDB, this paper combines Decision Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP) to identify and assess the key regulatory decisions for the government for both economic and ecological purposes. The final results obtained by DEMATEL and ANP are consistent. The vital role of the planting link in eco-economics sustainability is affirmed. Through analyzing the demands of supply chain practitioners, as well as both economic and ecologic views of key points, the qualification information is attached significance. And the preservation and storage processes also deserve attention.

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Quality and safety traceability system of agricultural products based on Multi-Agent

Cited by 6 publications

References 9 publications

Design of Safety Evaluation and Risk Traceability System for Agricultural Product Quality

Design of Safety Evaluation and Risk Traceability System for Agricultural Product Quality

Examining the interplay between artificial intelligence and the agri-food industry

Tracing Information for Agricultural Product and Identifying Key Regulatory Decisions towards Eco-Economics Sustainability

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