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
Database management systems have been widely used for storing and retrieving data. However, databases are hard to use since their interface is rigid in cooperating with users. Large number of e-governance applications like weather forecasting, agriculture, banking, railways etc. use database. For the people who are comfortable with Hindi language require these applications to accept a Hindi sentence as a query, process it and after execution provide result to the user in Hindi language. In this paper, we discuss the architecture of system to convert a Hindi sentence into equivalent SQL query. To make data retrieval easy for common person, in the developed system, the user can input query in Hindi language and get the result in same language. The users have no need to learn any formal query language like SQL to access the database.
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