Geospatial binding for transdisciplinary research in crop science: the GRASPgfs initiative

Geospatial binding for transdisciplinary research in crop science: the GRASPgfs initiative

Abstract The paper retraces the GRASPgfs endeavor (Geospatial Resource for Agricultural Species and Pests with integrated workflow modelling to support Global Food Security) between multiple disciplines around a common objective of facilitating research and model simulations for sustainable food sec...

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Bibliographic Details
Main Authors: Didier G. Leibovici, Suchith Anand, Roberto Santos, Sean Mayes, Rumiana Ray, Masoud Al-Azri, Abdul Baten, Graham King, Asha S. Karunaratne, Sayed Azam-Ali, Mike J. Jackson
Format: Article
Language:English
Published: SpringerOpen 2017-08-01
Series:Open Geospatial Data, Software and Standards
Subjects:
Agriculture models
Crop modelling
Scientific workflow
Geospatial information
Genetic-trait
Interoperability
Online Access:http://link.springer.com/article/10.1186/s40965-017-0034-3

Internet

http://link.springer.com/article/10.1186/s40965-017-0034-3

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