Descrizione del progetto
Soluzioni innovative basate sui dati per filiere alimentari sostenibili
L’industria agroalimentare deve affrontare sfide legate a problematiche quali salute pubblica, sostenibilità, sprechi e condivisione dei dati. I dati possono rivoluzionare il settore aiutando le parti interessate a prendere decisioni informate promuovendo la sostenibilità e l’inclusività, il che consente di ottimizzare le operazioni e ridurre gli sprechi, nonché incoraggiando la trasparenza e la produzione etica. Il progetto FoodDataQuest, finanziato dall’UE, si propone di sviluppare soluzioni innovative basate sui dati al fine di promuovere regimi alimentari sani e sostenibili per le parti interessate della filiera alimentare attraverso un quadro completo che comprende nuove fonti di dati, attori non convenzionali e meccanismi di condivisione dei dati. Il quadro comprende linee guida e strategie di raccolta dei dati per far progredire il sistema alimentare verso l’implementazione di diete sane nell’ambito di sistemi giuridici e politici. Il progetto si avvale dell’intelligenza artificiale e di algoritmi di apprendimento automatico allo scopo di creare e testare soluzioni basate sui dati per garantire un sistema alimentare equo, salutare e rispettoso dell’ambiente, assicurando un equilibrio tra apertura e privacy dei dati.
Obiettivo
The agri-food industry faces numerous challenges dealing with societal, public health, individual nutrition and environmental, food waste and overall food system sustainability challenges. Imbalances and disconnected food markets are generating undesirable trade-offs between the food supply, the consumption patterns, quality of nutrition and the environment. Interoperability and data sharing across agri-food supply networks is limited. Data can revolutionise the food industry and foster its contribution to inclusive and sustainable food systems. Data can be used to assist these stakeholders in making informed decisions on how to operate in a more sustainable and inclusive manner. In this way, they increase the efficiency of the food industry through the optimisation of relevant operations and the reduction of waste, promoting transparency and demonstrate their commitment to ethical and sustainable production. FoodDataQuest will develop ground-breaking data-driven solutions based on an integrated methodological framework that explores new types of private and public data sources, data from “unconventional players” and non-competitive data and leverages data sharing mechanisms in order to provide the EU food chain stakeholders with increased insights and enhance the transition towards sustainable healthy diets. The proposed framework will include guidelines and data collection strategies, to drive the food system transformation towards inclusive, sustainable, healthy diets within the boundaries of legal and policy frameworks. FoodDataQuest will co-create and test advanced data-driven solutions based on AI and ML algorithms, following a multi-actor approach that will serve as a lighthouse that positively impacts a fair, healthy and environmentally friendly food system. Last, FoodDataQuest will engage citizens into industry's data-driven innovations balancing between data openness and protection of private and sensitive data of multiple stakeholders.
Campo scientifico
Parole chiave
Programma(i)
Meccanismo di finanziamento
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinatore
9820 Merelbeke
Belgio