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
Agricultural droughts can be perceived in four forms drought data, information, knowledge, and wisdom. For better understanding, mitigation and harness of drought, it is necessary to extract "raw" drought information into human-perceivable data (e.g., remotely sensed data) and from which to discover patterns and form knowledge. This article explores advantages of geospatial Web services in providing on-demand agricultural drought analysis and equipping users from various domains (including drought experts, decision-makers and farmers) with information, knowledge and even wisdom needed in the process of agricultural drought monitoring, assessment and management. Various Web services are established to support drought analysis and decision-making for the general public. The potential of Web services in automating geospatial knowledge discovery and dissemination within the Big Data era is also illustrated here.
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