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
Demographic and economic research perspectives have given a great deal of attention in recent years to the adoption of precision agriculture. However, very little attention has been given to the perceptions and attitudinal reasons for farmers to adopt these technologies. While economic benefit is the primary reason given by producers to adopt precision agricultural technologies, other attitudes play roles in the adoption decision. This paper reports investigations into the perception and attitudinal characteristics of farmers who plan to adopt these technologies. A survey instrument is used to measure constructs of perception and attitudes. Structural equation modeling, a multivariate analysis, is used to analyze these constructs. Attitudes of confidence toward using the precision agriculture technologies, perceptions of net benefit, farm size and farmer educational levels positively influenced the intention to adopt precision agriculture technologies. The perception of usefulness positively influenced perception of net benefit. (c) 2005 Elsevier B.V. All fights reserved.
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