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
This paper proposes a context data model for intelligent livestock farm management for providing intelligent service to users by utilizing livestock farm environment & situation information through RDF-based context model based on the raw level sensing data collected from sensor nodes at WSN-based ubiquitous livestock farm. An optimal livestock breeding environment is created by providing intelligent service upon utilizing environment & situation-context information based on the sensor data collected from livestock farm through the proposed context data model. Productivity can be increased through this by reducing production cost, as well as produce high-quality stock farm products.
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