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
Development of Guided SMS Solution in Local Languages for Demand-driven Access of Agricultural Information
Information technology (IT) has emerged as a boon to expedite the process of agricultural extension. The growth in mobile has surpassed internet due to cost effectiveness. Mobile as a tool holds promise for facilitating access of agricultural information by majority of the farmers. Its promotion has already been started by a few organizations, but mostly in supply mode. Hence, it was decided to develop the SMS based solution that works in demand mode. The solution consists of server stub and client stub. The server stub is a group of applications that receive surrogated query from client component in asynchronous mode and deliver desired information in flawless, efficient and uninterrupted manner. The server stub consists of message process, query process, database and analytical process. Client stub is a single application that is installed in user's mobile. The major functionalities of the client stub are: presentation and navigation, data management and message processing. In the implemented solution, total number of decision points and lists are 495 and 130 respectively. In list total number of elements varies from 2 to 15. The user selects information node from the list as per requirement. After selection of terminal node, message processing layer generates surrogated query which on confirmation is forwarded to Application Service Provider (ASP) end for processing. The solution has been developed for agriculture domain with crop, fertilizer, water management, crop protection, weather and agricultural implements as primary information area.
Inappropriate format for Document type, expected simple value but got array, please use list format