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
Over the last 10 years, mobile device technology has become a part of everyday life throughout the world. Cellular-phones, have replaced land based phones and everywhere we go, someone is using a mobile device to communicate or perform their job. At the same time, there has been an explosion of mobile device technology applied to agriculture, and data management has transitioned from local management on individual devices or computers, to centralized server ("cloud") based systems. There are numerous operating systems, physical configurations, and features available. Potential users should think carefully about how they want to use a device and ask many questions when deciding which one to purchase. Regardless ofthe device, mobile device applications allow us to work smarter, faster, and less expensively. They allow us to work with little to no writing, receive nearly immediate, more accurate, feedback on how a farm is performing, and focus on more timely decision-making rather than on data collection and processing.
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