In recent years, the world assists to the fourth Industrial Revolution, also called Industry 4.0, that leads to a higher level of connectivity, automation and efficiency. That evolution concerns, first of all, the manufacturing sector, arriving, only in the last years, within agri-food industry. In order to increase the own transparency/accountability, food industry starts to consider traceability principles as guaranty and marketing tool. A traceability system, based on Industry 4.0 technologies, could support the food companies to maneuver in the complex network of the supply chain. The presence of different activities and actors, supply a huge number of data that not are totally showed to the final consumer or that are shown in an unintelligible mode. So, monitoring the supply chain, recovering all essential data regarding products and processes, elaborating data supplying to consumers intelligible information could be a winner strategy. The work proposes a logical model to collect food traceability data along the supply chain and to transform it in intelligible information useful to reach modern consumers. The logical model was applied in a case study: the olive production. Food companies can apply this strategy by leveraging on the Industry 4.0 paradigm, performing the real Agriculture 4.0 evolution.

Agriculture 4.0: How Use Traceability Data to Tell Food Product to the Consumers

Corallo A.;Latino M. E.;Menegoli M.
2020-01-01

Abstract

In recent years, the world assists to the fourth Industrial Revolution, also called Industry 4.0, that leads to a higher level of connectivity, automation and efficiency. That evolution concerns, first of all, the manufacturing sector, arriving, only in the last years, within agri-food industry. In order to increase the own transparency/accountability, food industry starts to consider traceability principles as guaranty and marketing tool. A traceability system, based on Industry 4.0 technologies, could support the food companies to maneuver in the complex network of the supply chain. The presence of different activities and actors, supply a huge number of data that not are totally showed to the final consumer or that are shown in an unintelligible mode. So, monitoring the supply chain, recovering all essential data regarding products and processes, elaborating data supplying to consumers intelligible information could be a winner strategy. The work proposes a logical model to collect food traceability data along the supply chain and to transform it in intelligible information useful to reach modern consumers. The logical model was applied in a case study: the olive production. Food companies can apply this strategy by leveraging on the Industry 4.0 paradigm, performing the real Agriculture 4.0 evolution.
2020
978-1-7281-4306-4
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11587/444955
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 17
  • ???jsp.display-item.citation.isi??? 7
social impact