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
This paper first designs and implements a composite sensor node capable of reliably collecting sensor data mainly and delivering control actions to actuators in the agricultural sensor network, and then presents the corresponding ubiquitous sensor network architecture that integrates an intelligent information technology. Consist of a main control unit, a sensor interface base board, an actuator interface & control board, a global network interface module, and a sensor signal acquisition board, the composite node extends the data transmission range, regulates power according to the device operation type, exploits lightweight 6LowPAN and IPv6 protocol, and makes it possible to share pin connections between a group of sensor devices. Our design can contribute to building an efficient sensor data processing framework which can seamlessly combine XML specification, an expert system, a filtering engine, and sensor query lifetime management.
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