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
The exchange of data among processes in computer systems is a challenge in heterogeneous environments, they are created with independent structures in terms of exchange, the use of consolidated standards for data exchange is key to an effective solution for communication between computer system heterogeneous. The integration of technologies used in different processes in the course of agricultural production is a challenge in terms of uniformity of information. The integration of various data processes in the production of cotton is an example of the difficulty of the structural point of view, the data format for the interchange between the various processes involved is critical to provide traceability of the product of logical drives in all its stages. The AgroXML provides the necessary structure for the exchange within the scope of the proposed approach in this work. The proposed scope of the research refers exclusively to trace the logical units in the productive chain of cotton using AgroXML as a format for standardization of data across heterogeneous systems. The use of AgroXML the proposed framework for standardization of data will be collected during the productive chain of cotton, is intended to present a model in high-level modules available the current version of AgroXML applied to existing processes in the production chain.
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