Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

Big data in agricultural and food research: challenges and opportunities of an integrated big data e-infrastructure

Capitolo di libro
Data di Pubblicazione:
2018
Abstract:
Agricultural and food research are increasingly becoming fields where data acquisition, processing, and analytics play a major role in the provision and application of novel methods in the general context of agri-food practices. The chapter focuses on the presentation of an innovative, holistic e-infrastructure solution that aims to enable researches for distinct but interconnected domains to share data, algorithms and results in a scalable and efficient fashion. It furthermore discusses on the potentially significant impact that such infrastructures can have on agriculture and food management and policy making, by applying the proposed solution in variegating agri-food related domains.
Tipologia CRIS:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
E-infrastructure; Virtual Research Environment; Agro-climatic Modelling; Economic modelling; Food security; Plant phenotyping; Food safety risk assessment
Elenco autori:
Candela, Leonardo
Autori di Ateneo:
CANDELA LEONARDO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/372302
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/372302/44681/prod_389287-doc_136096.pdf
Titolo del libro:
Big Data for the Greater Good
Pubblicato in:
STUDIES IN BIG DATA
Series
  • Dati Generali

Dati Generali

URL

https://link.springer.com/chapter/10.1007%2F978-3-319-93061-9_6
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)