Download
Share
NOT PEER-REVIEWED
"PeerJ Preprints" is a venue for early communication or feedback before peer review. Data may be preliminary.
Highlighted in Open Source Geospatial Research & Education Symposium (OGRS2016)

A geoprocessing modelling interoperable framework for AgriGIS using open data and open standards

, , , , ,
1 School of Geography, University of Nottingham, Nottingham, United Kingdom
2 Nottingham Geospatial Institute, University of Nottingham, Nottingham, United Kingdom
3 School of Biosciences, University of Nottingham, Nottingham, United Kingdom
DOI
10.7287/peerj.preprints.2136v2
Published
Accepted
Subject Areas
Scientific Computing and Simulation, Spatial and Geographic Information Systems
Keywords
crop modelling, agriculture models, scientific workflow, genetic-trait, web services, interoperability, geospatial information, GIS, OGC
Copyright
© 2016 Santos et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Santos R, Huynh D, Anand S, Ray RV, Mayes S, Leibovici D. 2016. A geoprocessing modelling interoperable framework for AgriGIS using open data and open standards. PeerJ Preprints 4:e2136v2

Abstract

We retrace the construction of AgriGIS framework between multiple disciplines around a common objective of facilitating research on model simulations for sustainable food security. The geospatial media enabling multidisciplinary research in crop modelling but also supporting new types of hypothesis and analysis, is described with interoperability principles and seamless access and sharing for data, metadata and processing models. Designing the platform achieving this main objective generated a transdisciplinary vision of modelling and forecasting for sustainable agriculture.

Author Comment

We applied the OGRS format.

Additional Information

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Roberto Santos performed the experiments, analyzed the data, wrote the paper, performed the computation work.

Dai Huynh performed the experiments, analyzed the data, wrote the paper, performed the computation work.

Suchith Anand conceived and designed the experiments, performed the experiments, analyzed the data, wrote the paper, reviewed drafts of the paper.

Rumiana V Ray conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, reviewed drafts of the paper.

Sean Mayes conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, reviewed drafts of the paper.

Didier Leibovici conceived and designed the experiments, performed the experiments, analyzed the data, wrote the paper, prepared figures and/or tables, performed the computation work, reviewed drafts of the paper.

Data Deposition

The following information was supplied regarding data availability:

The research in this article did not generate, collect or analyse any raw data or code.

Funding

Roberto Santos received funding from CAPES - Brazil and Crops For the Future - Malaysia. Dai Huynh received funding from Crops For the Future - Malaysia. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Feedback on other revisions

Add your feedback

Before adding feedback, consider if it can be asked as a question instead, and if so then use the Question tab. Pointing out typos is fine, but authors are encouraged to accept only substantially helpful feedback.

Some Markdown syntax is allowed: _italic_ **bold** ^superscript^ ~subscript~ %%blockquote%% [link text](link URL)
 
By posting this you agree to PeerJ's commenting policies
Download
Content
Alert
Just enter your email

Download article

A geoprocessing modelling interoperable framework for AgriGIS using open data and open standards
PDF Save to Mendeley RIS XML BibTeX
  Visitors   Views   Downloads