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 publication presents a system architecture for remote agriculture process automation, involving sensors and actuators connected to IoT gateway running OPC UA server. Sensors and actuators are very general and do not need any intelligence related to the process under control. Acquired data processing and control algorithms that produce control stimulus are executed in the gateway. This approach features the advantage of convenient possibilities to change control rules from Cloud services (installing or configuring process controller) without updating firmware of remote sensors/actuators. Throughput of data collection channel (long range radio) and IoT gateway performance are limiting factors for real time control or observation of agriculture processes. Therefore, achievable channel "sensors-OPC UA server" throughput is investigated experimentally. Potential agriculture applications that may benefit from the proposed architecture are identified.
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