Agro.Big.Data.Science

Using BIG DATA in the management of kiwi, pear and spinach production chains

Agro.Big.Data.Science

The growing availability of advanced sensor technology capable of collecting a wide range of information across all stages of the agri-food supply chain enables us to address issues related to diagnosis, forecasting, and improvement of supply chains through a data-driven approach. The data science methodology employed in this project involves a multidisciplinary team (including IT specialists, statisticians, and agri-food experts) capable of both formulating problems, hypothesizing causes, and validating solutions, as well as analyzing data using specific algorithms.

The project intends to apply this data-driven approach to three production chains (kiwi, pear, and spinach) provided by the participating companies, fully equipped with the necessary sensors for real-time data collection. For data collection and analysis, a general-purpose technological platform for Big Data will be used.

Agro.Big.Data.Science, the outcome of this project, aims to become the foundation for developing specialized solutions for the agri-food domain and sets the following objectives:

  • Address specific issues in the three selected supply chains;
  • Validate the data-driven methodology in agri-food supply chains;
  • Assess the maturity and improve the IoT systems already in use in the supply chains;
  • Engineer a flexible Big Data platform specific to the agri-food sector, adaptable to supply chains beyond those considered in the project.

PARTNERSHIP

Research Partners

  • CRPV lab – Capofila
  • CRAST
  • CIRI AGRO
  • CIRI ICT
  • CITIMAP

Industrial Partners

  • APOFRUIT
  • APO CONERPO
  • OROGEL
  • GranFrutta Zani
  • Agrintesa
  • Agribologna
  • Pempacorer
  • Agrisol
  • ONIT
  • Winet S.r.l.
  • iFARMING

ADMINISTRATIVE DATA

Duration: 26/07/2019 - 25/02/2022
Stauts: Completed

Project website: https://www.agrobigdatascience.it/

Funding: POR FESR Emilia-Romagna 2014/2020, Axis 1, Action 1.2.2, 2018 Call, co-funded by the Cohesion Fund. Granted contribution: €785,054.75