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 paper addresses the development of synthesis and optimization models by adopting a natural language approach that assumes less context knowledge and is more amenable to the formulation of multi-disciplinary applications. The approach deploys ontologies and enables the integration of data from different resources, the re-use of generic mathematical formulations, and the deployment of object-oriented models. The approach is illustrated for screening of biochemical paths, a task that involves domains in engineering, agricultural sciences, biochemistry and economics. Concerning bioenergy and biomass, there is a large list of available knowledge, data and models from heterogeneous sources. The paper explains the use of ontologies to integrate and automate decisions, also to automate the synthesis of superstructrures. Illustrations include 82 different chemistries that lead to the production of more than 80 intermediate and final products based on biomass. The use of ontologies explains means to systematize the development of the superstructure, to customize features, also to invoke and optimize for the preferred paths and technologies. The work is extended to include scheduling and planning problems.
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