Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

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

Chapter
Publication Date:
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.
Iris type:
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
List of contributors:
Candela, Leonardo
Authors of the University:
CANDELA LEONARDO
Handle:
https://iris.cnr.it/handle/20.500.14243/372302
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/372302/44681/prod_389287-doc_136096.pdf
Book title:
Big Data for the Greater Good
Published in:
STUDIES IN BIG DATA
Series
  • Overview

Overview

URL

https://link.springer.com/chapter/10.1007%2F978-3-319-93061-9_6
  • Use of cookies

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