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
For a long time, the traceability was applied only for management reasons, but with the advent of new communication and information technologies more and more used in the logistic medium, the notion of the traceability became new extensive to meet the new market needs in term of information by ensuring accessibility the data characteristic or been dependent on the product throughout its life cycle. On the basis of this postulate, we tried to raise some questions of research, beginning by the presentation of the progress achieved, assumptions and objective relating to the traceability, in the second time we mentioned principal work by showing how evolved the scientific question especially the information systems integrating the traceability were developed very little in the literature. Based on what was developed in the first part, we present our generic modeling approach of communicating product "smart object", able to take into account the various essential elements for its traceability: the product in its various states, various operations carried out on the product, resources used, its localization, and interactions between the product and its environment carried out on the basis of whole of service. In order to validate our generic modeling, a case of study representing an application in a context of food industry is presented.
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