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 strong competitiveness involved in wine production, mainly driven by the aggressive economic policies led by emergent production areas, leaves the use of advanced technologies as the only resource to make production in traditional areas viable and sustainable. Among the possibilities offered by current technology, the set of techniques known as Precision Agriculture probably provides the most effective way to assure the long-term survival of Mediterranean vineyards. However, despite the great interest and gradual acceptance of this methodology, its actual implementation rate by local producers is too low and in most cases totally absent, relegating its use to government researchers and universities. The main reasons for this low implementation rates are technical complexity, low long-term reliability, additional investment with unsure returns, and especially the intricacies involved in the retrieval and interpretation of field data by producers illiterate in information technologies. This paper introduces a simplified architecture to promote the early adoption of this technology, allowing the decoupling of reliability problems in global positioning errors and local perception failures to provide individual solutions to each individual subsystem. Finally, this approach proposes the standardization of crop information through two-dimensional field maps represented in the Local Tangent Plane coordinate system, with a user-selected origin and a working space divided into regular cells of dimensions also chosen by individual producers. This site-specific management system was successfully tested in a traditional vineyard to build vegetation maps, which were eventually related to grape yield and several quality parameters that provided information on the enological potential of the field.
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