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
Design and Implementation of Context-Aware Middleware for Intelligent Service in Ubiquitous Livestock Barn
In this paper, a context-aware middleware is proposed that can provide intelligent and adaptive services by utilizing livestock barn environment and context information based on sensing data collected from sensor nodes at ubiquitous livestock barn applied with Wireless Sensor Networks technology. The proposed context-aware middleware defines rule based on ontology modeling and livestock barn context model by analyzing the livestock barn domain through which it reasons the livestock barn context in real-time, and provides active services while preventing the collision of reasoning results. To evaluate the performance of the proposed middleware, ubiquitous livestock barn management system was implemented by applying the middleware to an existing ubiquitous livestock barn, and the response time from sensor to client during the system operation and the time it takes to produce reasoning result through the sensing data were measured to compare the performance with that of existing middleware.
Inappropriate format for Document type, expected simple value but got array, please use list format