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 presents a framework for wireless sensor networks designed to capture and monitor micro-climates in a crop field. Recent developments and advances in wireless technology as well as affordability give rise to this emerging field in the realm of precision agriculture. The main purpose of this research is to develop an efficient telemetry system for measuring and storing micro-climates and environmental data. The data collected is to be used for building various models that could enhance our understanding about the effects of climate change on grapevine growth and wine quality within major wine regions in several countries being studied in the initial research. We propose a system architecture for wireless sensor networks and a database model for handling and storing sensor data streams in real-time. This architecture utilises Wireless Sensor Networks (WSN) located in several vineyards in three continents. It collects data from WSN and continuously transmits physical or environmental conditions at different locations to a remote central data server. A web based application developed to enable remote online access to WSN data with interactive data retrieval and visualization functionalities.
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