Developing a neural network to simplify durum wheat yield prediction in Italy

Vittorio Rossi, Simone Bianchi, Lorenzo Barbanti, Tiziano Bettati, Franco Miglietta, Roberto Ranieri, Giuseppe Piacentino, Piero Toscano

Risultato della ricerca: Contributo in libroContributo a convegno

Abstract

Crop models are frequently used in agronomy for simulating crop variables at a discrete time step. This paper describes the application of an artificial neural network in developing a model for yield forecasts in durum wheat, using back-propagation algorithms based on the mechanistic model AFRCWHEAT2 (Porter, 1993; Porter et al., 1993). Given the relevant number of inputs (16) required to operate AFRCWHEAT2, we have tried to develop a simpler model based on a neural network, in order to match AFRCWHEAT2 performance while substantially reducing the need of inputs.
Lingua originaleEnglish
Titolo della pubblicazione ospiteBook of abstracts ESA XIIIth Congress
Pagine257-258
Numero di pagine2
Stato di pubblicazionePubblicato - 2014
EventoESA XIIIth Congress - Debrecen
Durata: 25 ago 201429 ago 2014

Convegno

ConvegnoESA XIIIth Congress
CittàDebrecen
Periodo25/8/1429/8/14

Keywords

  • AFRCWHEAT2
  • Modelling
  • durum wheat
  • mechanistic model

Fingerprint Entra nei temi di ricerca di 'Developing a neural network to simplify durum wheat yield prediction in Italy'. Insieme formano una fingerprint unica.

Cita questo