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
A knowledge-based system to train the South African rural farmers through a Vsat-enabled Internet service
This paper describes an infrastructure to facilitate training the rural fanner and its impact on agricultural income. It describes a distributed communications architecture that connects VSAT-enabled rural telecentres to a central agricultural centre which disseminates information and provides training to farmers on agriculture. This paper recommends the integration of an intelligent tutoring software system for training rural fanners. Taking into consideration that rural areas might not be close to the National Electricity Grid, the project proposes solar energy as an alternative source of energy to power the remote telecentres. This paper looks at wool contamination as an example. Due to limited access to communication and information rural farmers are not well informed on the effects of high levels of contaminants on the price of that wool. When wool, is contaminated the auction prices are decreased.
Inappropriate format for Document type, expected simple value but got array, please use list format