High Technology in the durum wheat supply chain

The project aimed at developing a model for the previsions of durum wheat (Triticum turgidum ssp. durum) yields in Emilia Romagna region. Applying a neural network (NN) to develop a simplified model for yield forecasts in durum wheat, using back-propagation algorithms based on a mechanistic model would result in easier predictions thanks to a reduced number of inputs.

ROLE: Coordinator
TIMING: 2013-2014
CALL: Call “Distratti 1 Agrali-Agroalimentare” Emilia Romagna (IT)