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
Business Intelligence (BI) can assist in agricultural enterprises to strengthen their production potential and technical efficiency due to its effective support to the managerial, analytical, planning, and decision-making activities of managers and specialists. However, the state of the BI in the Czech Republic is not still completely understood. In this context, this paper aims at the evaluation of the current state of the art of the BI among small Czech farms. The focus of the re search was put on the evaluation of both the state of the BI, and the relevant business information systems and software for agriculture. There was a survey among 135 agricultural entrepreneurs from various regions in the Czech Republic. The survey results are presented by the descriptive statistics and frequency tables. There is an examination of the relationship between the agricultural enterprise structure and the use of the BI. Dependencies among the examined characteristics were sought by the means of the analysis of qualitative variables. With 95% probability, it could be claimed that the type of production, the size of farmed land, the number of employees and the level of financial subsidies have no significant impact on using the BI, the expert and analytical systems in agricultural enterprises.
Inappropriate format for Document type, expected simple value but got array, please use list format