The concept of food quality is intricate, spanning various dimensions across the entire food production chain. The imperative to meet this expanded quality paradigm has prompted a departure from conventional analytical methods towards more comprehensive strategies. The market dynamics for coffee are heavily influenced by the quality of the flavour, often driven by marketing and contingent upon the entire supply chain. However, achieving standardization of flavour quality over time proves challenging, given that this crop are primarily sourced from different countries through numerous independent farmers, resulting in notable batch fragmentation and heterogeneity. Socio-political instability and the adverse impacts of climate change further exacerbate challenges to production and farm sustainability. Industry 4.0, as a forward-looking strategy, leverages information technology to propel industrial transformation by advancing the digitization and computerization of manufacturing, thereby elevating automation levels in the process1. Artificial Intelligence (AI) emerges as a pivotal player, notably enhancing the quality of coffee and aiding decision-making processes2. These AI-driven advancements contribute substantially to increased efficiency, sustainability, and competitiveness in the global coffee market. This presentation will delve into the potential and constraints of employing artificial intelligence to address real industrial challenges.

The role of the artificial intelligence in the industry 4.0: impact on the flavour quality of coffee

Erica Liberto
First
;
Eloisa Bagnulo;Chiara Cordero;Carlo Bicchi
2024-01-01

Abstract

The concept of food quality is intricate, spanning various dimensions across the entire food production chain. The imperative to meet this expanded quality paradigm has prompted a departure from conventional analytical methods towards more comprehensive strategies. The market dynamics for coffee are heavily influenced by the quality of the flavour, often driven by marketing and contingent upon the entire supply chain. However, achieving standardization of flavour quality over time proves challenging, given that this crop are primarily sourced from different countries through numerous independent farmers, resulting in notable batch fragmentation and heterogeneity. Socio-political instability and the adverse impacts of climate change further exacerbate challenges to production and farm sustainability. Industry 4.0, as a forward-looking strategy, leverages information technology to propel industrial transformation by advancing the digitization and computerization of manufacturing, thereby elevating automation levels in the process1. Artificial Intelligence (AI) emerges as a pivotal player, notably enhancing the quality of coffee and aiding decision-making processes2. These AI-driven advancements contribute substantially to increased efficiency, sustainability, and competitiveness in the global coffee market. This presentation will delve into the potential and constraints of employing artificial intelligence to address real industrial challenges.
2024
17th International Weurman Flavour Research
Wagheninghem
23-27 Settembre 2024
17th International Weurman Flavour Research
1
1
https://weurman.com/
Artificial Intelligence, flavour, quality, coffee
Erica Liberto, Eloisa Bagnulo, Chiara Cordero, Carlo Bicchi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2018811
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