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
Identification system[s], especially Radio Frequency IDentification (RFID) system[s] played an important role in the advent of the Internet of Things (IoT), and thus its popularity has increased in many industries at an unprecedented rate. GS1 EPCglobal has led the development of RFID standards from unique identifier, communication protocol to event repository. Recently, its scope starts to broaden with the new standard of EPC Information Service (EPCIS v1.1), while GS1 EPCglobal had focused on RFID middleware in the field of supply chain management (SCM). We believe that EPCIS can act as an event-based context repository for IoT. However, the challenges of scalability and flexibility should be taken into consideration against a large amount of heterogeneous data from a variety of sources. In this paper, we propose the novel open source platform complying with the EPCIS v1.1 specification called Oliot EPCIS, which can collect and share event data for a broad range of IoT applications. The main contribution of the paper is as follows. To resolve the challenges, we propose the scalable and flexible EPCIS architecture, the document-based model of EPCIS event and the new event called SensorEvent. We show that Oliot EPCIS generally outperforms two existing solutions through the comparative experiment. Also, with the healthcare case study, we show that Oliot EPCIS can capture and share sensor values requiring a very intensive data rate based on SensorEvent.
Inappropriate format for Document type, expected simple value but got array, please use list format