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
Robustness of infotaxis with respect to variations and limited knowledge of the propagation of volatile organic compounds.
In this work we present a theoretical information based strategy known as infotaxis as an effective and robust navigation system for a robotic platform to localize the source of a disease in a crop plantation through chemical detection of volatile compounds. We present a numerical analysis of the robustness of infotaxis with respect to an inaccurate modeling of the medium and we study the efficiency of the strategy as a function of the parameters of the transport process. Our results show that infotaxis is a robust strategy able to deal with the fluctuations, inhomogeneities and unpredictability of real environments. The correlation length of the concentration field is shown to play a key role in the efficiency of infotaxis.
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