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
Adoption of computer based information systems - The case of dairy farmers in Canterbury, NZ, and Florida, Uruguay
While the penetration of computer technology into farm offices and homes is quite extensive in some countries, use of the technology as a key component in farm management is not as extensive as might be expected. This study of two farming communities (dairying in Canterbury, NZ, and in Florida, Uruguay) was used to develop models explaining computer uptake and use with the objective of gaining an improved understanding of the process. This can lead to systems more appropriate to farmer requirements. The resulting model stresses that farmer attributes (objectives, personality, education, skills, current information management processes, learning style) are associated with the use of computerised information systems. The size of the business is also important through its impact on potential benefits. The model was developed using information from both non-users and computer owners, as clearly, the non-user's views and data are critical to improving effective adoption. The conclusions, once more, stress that software developers must work with farmers; both in design, and training and support, and the system must be configurable, to suit a range of farmer characteristics. Perhaps the packages should also be priced on the potential benefits, not one price for all. (c) 2005 Elsevier B.V. All rights reserved.
Inappropriate format for Document type, expected simple value but got array, please use list format