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 combined interest in precision agriculture, information technology, and autonomous navigation has led to a growing interest in the generation of 3D maps of mobile equipment surroundings. This article proposes a method to create 3D terrain maps by combining the information captured with a stereo camera, a localization sensor, and an inertial measurement unit, all installed on a mobile equipment platform. The perception engine comprises a compact stereo camera that captures field scenes and generates 3D point clouds, which are transformed to geodetic coordinates and assembled in a global field map. The results showed that stereo perception can provide the level of detail and accuracy needed in the construction of 3D field maps for precision agriculture and field robotics applications. (C) 2007 Elsevier B.V. All rights reserved.
- Univ_Politecn_Valencia_UPV (ES)
- Univ_Illinois_Urbana_Champaign (US)
- John_Deere_GmbH_&_Co (US)
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