Automatic identification and data capturing technologies, such as radio frequency identification (RFID) technology and quick response (QR) codes, have been proposed as tools for enabling Internet of Things (IoT) and blockchain applications in the agrifood supply chain, allowing for the tracking and tracing of products and sharing data among various actors. While these technologies offer advantages, such as contactless reading, automation, information sharing and traceability management, their adoption in the agri-food supply chain remains limited, hindering digitalization efforts. This paper addresses this gap by analyzing studies that have implemented automatic identification technologies in the agri-food supply chain, focusing on RFID technology and QR codes, mainly for traceability purposes. Drawing from the literature, a framework for implementing those technologies is proposed, aiming to overcome challenges related to product perishability, seasonal variability, and weather fluctuations.
Implementation of Automatic Identification and Data Capturing technologies in the Agri-Food Supply Chains: a review and framework / Bottani, Eleonora; Stefanini, Roberta; Vignali, Giuseppe. - ELETTRONICO. - 979-12-81988-04-0:(2024). (Intervento presentato al convegno 10th International Food Operations & Processing Simulation Workshop (FOODOPS) tenutosi a Tenerife nel 18-20 september 2024) [10.46354/i3m.2024.foodops.008].
Implementation of Automatic Identification and Data Capturing technologies in the Agri-Food Supply Chains: a review and framework
Eleonora Bottani
;Roberta Stefanini;Giuseppe Vignali
2024-01-01
Abstract
Automatic identification and data capturing technologies, such as radio frequency identification (RFID) technology and quick response (QR) codes, have been proposed as tools for enabling Internet of Things (IoT) and blockchain applications in the agrifood supply chain, allowing for the tracking and tracing of products and sharing data among various actors. While these technologies offer advantages, such as contactless reading, automation, information sharing and traceability management, their adoption in the agri-food supply chain remains limited, hindering digitalization efforts. This paper addresses this gap by analyzing studies that have implemented automatic identification technologies in the agri-food supply chain, focusing on RFID technology and QR codes, mainly for traceability purposes. Drawing from the literature, a framework for implementing those technologies is proposed, aiming to overcome challenges related to product perishability, seasonal variability, and weather fluctuations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.