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
Robotic applications are widely used in various domains (e.g. healthcare, agriculture). However, provisioning them in a cost-efficient manner remains an uphill task. Cloud computing is a new paradigm with three key facets: Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). Rapid application development/deployment, pay-per-use and efficient use of resources are among the expected benefits. Cloud computing is a promising technology for application provisioning and can bring robotic application provisioning to the next level. This paper identifies the shortcomings of the state of the art in cloud-based architectures for robotic applications provisioning. It sketches an overall business model to tackle the identified shortcomings. It proposes an overlay-based architecture to handle the cloud interactions aspects of the proposed business model. The implementation aspects of the overlay-based architecture are discussed. Research directions are also identified.
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