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Smart-ET

Smart-ET

Smart-ET will use COVID-19 data from farms to predict variations in dairy production and market feed costs, helping to reorganise dairy production and supply during pandemic events or similar market shocks.

The Grana Padano and Parmigiano Reggiano areas have been highly affected by the current pandemic. Smart-ET will use COVID-19 data from farms and existing models to predict variations in dairy production and market feed costs, helping to:

  • Reorganise dairy production and supply rapidly and efficiently during pandemic events or similar shock markets
  • Meet local demands by increasing interactivity and information sharing between consumers and producers

Partners

AIA UCSC University of Reading Agricolus

Project Team

Antonio Gallo Activity Leader

Partners

The following partners are involved in the project

AIA
AGRICOLUS
UNIVERSITY OF READING

Project Lead

Antonio Gallo
Institution

UCSC

Contact details

antonio.gallo@unicatt.it

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