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
Wireless Sensor Networks (WSNs) have permeated the entire fabric of academic disciplines that greatly rely on control and decision-making processes such as medical health care, agriculture, ecology and industrial automation. In ecology, an infrastructure consisting of networks of interconnected sensors can provide in-situ high-precision monitoring of natural phenomena at a large-scale. Moreover, WSNs provide a number of advantages to ecoinformatics such as the possibility of constructing quality data-sets that coupled to machine learning-based prediction systems, can be used for ecological and process modelling. In this manuscript, we present a survey on recent WSNs based on several fields related to environmental research e. g. ecoinformatics, precision agriculture and wildlife observation. Finally, we have focused on the identification of limitations and open problems therein.
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