PEI-AGRI

Development of inter-professional organization services for knowledge and organization of the industrial tomato supply chain

Obiettivi
Objectives

The general objective of the project is to make the role of the inter-professional organization increasingly central to the process that generates information to support the supply chain, so as to be able to manage them and play a leading role as a hinge between farmers and the processing industries for an increasing use of tomatoes on the markets. On behalf of its members, the OI aims to develop a system of cultural classification and production forecasts based on Sentinel 2 ESA satellite images.

Activities

The project includes the following activities:

  • strategies for the classification and crop monitoring of industrial tomatoes starting from the ESA Sentinel images
  • validation of the classification procedures.
  • crop classification starting from Sentinel 2 ESA time series.
  • production forecast in favor of the organization of the industrial tomato supply chain
  • preparation of an information system to improve logistics linked to collection and transport
  • implementation of the software platform for the "big-data" statistical management.
Partenariato
Ruolo
Leader
Name
Organizzazione Interprofessionale interregionale “OI Pomodoro da Industria Nord Italia
Action manager
@email
Ruolo
Partner
Name
Agronica group s.r.l.
Action manager
Paglierani
@email
Ruolo
Partner
Name
CRPV Soc. Coop. Centro Ricerche Produzioni Vegetali
Action manager
Vanni Tisselli
@email
Ruolo
Partner
Name
CITIMAP S.C. a R.L.
Action manager
@email
Ruolo
Partner
Name
DINAMICA s.c.a r.l.
Action manager
@email
Ruolo
Partner
Name
La Risorgiva Di Forlini Nadia
Action manager
Nadia Forlini
Ruolo
Partner
Name
Azienda Agricola Marzocchi Arianna
Action manager
Arianna Marzocchi
@email
Ruolo
Partner
Name
Università Cattolica del Sacro Cuore - Sede di Piacenza
Action manager
Stefano Amaducci
@email
Pratice abstract
Description

The expected results are mainly three: a) implementation of crop growth models, calibrated from satellite images to meet the needs of the farmer association that desire supports in the management of its own crop; b) development of crop classification methods and production forecasts, starting from satellite images that can release useful information for the processing industries, regarding the location of the plots and an previous forecast of the yields, that can help the management of the harvest period; c) implementation of a data collection platform shared between farms and processing industries which, rightly managed by the OI, will be able to release information useful to the supply chain in real time. The platform must be able to receive all the data that is sent immediately, select it and store it on the basis of parameters chosen during the start-up of the plan and return the information. These could concern the dates of harvest, quantity and quality of the product delivered; however in the future, the platform could release information on the most suitable types of soil, on the production potential of the different areas, on the average productivity of a variety, on the effectiveness of a determined plant protection active ingredient, etc., opening up new information management perspectives for product quality improvement.