Big Data in Agricultural and Food Research: Challenges and Opportunities of an Integrated Big Data E-infrastructure

Pythagoras Karampiperis; Rob Lokers; Pascal Neveu; Odile Hologne; George Kakaletris; Leonardo Candela; Matthias Filter; Nikos Manouselis; Maritina Stavrakaki; Panagiotis Zervas

doi:10.1007/978-3-319-93061-9_6

Big Data in Agricultural and Food Research: Challenges and Opportunities of an Integrated Big Data E-infrastructure

Pythagoras Karampiperis, Rob Lokers, Pascal Neveu, Odile Hologne, George Kakaletris, Leonardo Candela, Matthias Filter, Nikos Manouselis, Maritina Stavrakaki, Panagiotis Zervas^*

^*Corresponding author for this work

Earth Observation and Environmental Informatics

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Big Data for the Greater Good
Editors	Ali Emrouznejad, Vincent Charles
Publisher	Springer
Chapter	6
Pages	129-150
Number of pages	22
Volume	42
ISBN (Electronic)	9783319930619
ISBN (Print)	9783319930602, 9783030065768
DOIs	https://doi.org/10.1007/978-3-319-93061-9_6
Publication status	Published - 14 Jul 2018

Publication series

Name	Studies in Big Data
ISSN (Print)	2197-6503

Keywords

Agro-climatic
E-infrastructure
Economic modelling
Food safety
Food security
Plant phenotyping
Risk assessment

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-319-93061-9_6

AGINFRA PLUS: Accelerating user-driven e-infrastructure innovation in Food Agriculture
1/01/17 → 31/12/19
Project: EU research project

Cite this

Karampiperis, P., Lokers, R., Neveu, P., Hologne, O., Kakaletris, G., Candela, L., Filter, M., Manouselis, N., Stavrakaki, M., & Zervas, P. (2018). Big Data in Agricultural and Food Research: Challenges and Opportunities of an Integrated Big Data E-infrastructure. In A. Emrouznejad, & V. Charles (Eds.), Big Data for the Greater Good (Vol. 42, pp. 129-150). (Studies in Big Data). Springer. https://doi.org/10.1007/978-3-319-93061-9_6

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author = "Pythagoras Karampiperis and Rob Lokers and Pascal Neveu and Odile Hologne and George Kakaletris and Leonardo Candela and Matthias Filter and Nikos Manouselis and Maritina Stavrakaki and Panagiotis Zervas",

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Karampiperis, P, Lokers, R, Neveu, P, Hologne, O, Kakaletris, G, Candela, L, Filter, M, Manouselis, N, Stavrakaki, M & Zervas, P 2018, Big Data in Agricultural and Food Research: Challenges and Opportunities of an Integrated Big Data E-infrastructure. in A Emrouznejad & V Charles (eds), Big Data for the Greater Good . vol. 42, Studies in Big Data, Springer, pp. 129-150. https://doi.org/10.1007/978-3-319-93061-9_6

Big Data in Agricultural and Food Research: Challenges and Opportunities of an Integrated Big Data E-infrastructure. / Karampiperis, Pythagoras; Lokers, Rob; Neveu, Pascal et al.
Big Data for the Greater Good . ed. / Ali Emrouznejad; Vincent Charles. Vol. 42 Springer, 2018. p. 129-150 (Studies in Big Data).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

TY - CHAP

T1 - Big Data in Agricultural and Food Research

T2 - Challenges and Opportunities of an Integrated Big Data E-infrastructure

AU - Karampiperis, Pythagoras

AU - Lokers, Rob

AU - Neveu, Pascal

AU - Hologne, Odile

AU - Kakaletris, George

AU - Candela, Leonardo

AU - Filter, Matthias

AU - Manouselis, Nikos

AU - Stavrakaki, Maritina

AU - Zervas, Panagiotis

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KW - E-infrastructure

KW - Economic modelling

KW - Food safety

KW - Food security

KW - Plant phenotyping

KW - Risk assessment

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SN - 9783030065768

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Big Data in Agricultural and Food Research: Challenges and Opportunities of an Integrated Big Data E-infrastructure

Abstract

Publication series

Keywords

UN SDGs

Access to Document

Fingerprint

Projects

AGINFRA PLUS: Accelerating user-driven e-infrastructure innovation in Food Agriculture

Cite this