The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
A service infrastructure for the representation, discovery, distribution and evaluation of agricultural production standards for automated compliance control
Modern agricultural production is governed by a variety of production standards that restrict and guide farming practices. Controlling the compliance of farms to these standards is currently a considerable and expensive manual effort for several stakeholders of agriculture; an effort that could be alleviated with suitable information technology. This article identifies the requirements and proposes a design for a service infrastructure that transfers the production standards in a computer encoded and machine interpretable format between the stakeholders of modern agricultural production. These encoded production standards can then have an immediate benefit for farmers and providers of Farm Management Information Systems (FMIS), ultimately enabling automated compliance control with existing farm data. The functionality of the infrastructure is demonstrated with a precision fertilisation case, where compliance to several fertilisation restrictions is controlled and confirmed automatically. The proposed REST-based service infrastructure was found sufficient in fulfilling the identified requirements. Automated compliance control for a fair proportion of production standards, despite several technical challenges, can be reasonably achieved with existing technologies as a lightweight infrastructure of REST-based Web services. (C) 2011 Elsevier B.V. All rights reserved.
Inappropriate format for Document type, expected simple value but got array, please use list format