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
In India, Information and Communication technology (ICT) is being used vastly as a tool in almost every sector like education, health, media, etc. But if we talk about Indian agriculture, ICT is still to be exploited for its benefits. Many initiatives have been taken by Government of India to promote and introduce ICT in agricultural field. On comparing to its counter developing countries like China, Japan, etc. where advanced ICT technologies like IOT are being implemented in agriculture sector, we find that for India still there is a long road ahead to travel. This paper proposes a cloud deployment model "Agri- assistant", which provides agriculture related information assistance to Indian farmers living in rural areas, facing financial and connectivity constraints. The model leverages the existing Government services and mobile service to provide a solution to existing scenario with minimum burden on farmer's pocket.
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