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
Nowadays, agricultural information plays a significant role for the development of the agriculture. The Chinese Government invested in rural information services and agricultural information systems, but the rate of the information used by the farmers is reduced. Therefore, it is necessary to treat agricultural information as a commodity in a market-oriented way. This research aims to investigate the determinants of farmers willingness to purchase agricultural information in China. For this purpose, were conducted interviews with 417 farmers located in 16 provinces from China. A logistic regression was used to investigate the determinants. The results indicate that income, production purpose, risk bearing capacity, perceived usefulness, perceived ease of use and demonstration effect have a positive influence on farmers agricultural information purchase intention.
- China_Agr_Univ_CAU (CN)
- Univ_Dunarea_de_Jos_Galati (RO)
- CAAS_China_Acad_Agr_Sci (CN)
- Bucharest_Univ_Econ_Studies (RO)
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