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 Internet of Things vision introduces the capability, of connecting smart sensor/actuators to locally available networks in order to allow the interaction with the real world. The two visions are, thus, perfectly integrated and ideally, suited to perform the task of collecting simple information from the surrounding environment. Using smart distributed sensors and implementing data fusing and mining algorithms the final user is enabled to access real time data, and, undertake appropriate actuation strategies, via Internet, anytime and everywhere worldwide. This paper describes a successful application of the above concept in a challenging environmental monitoring context, concerning the retnote management of a vineyard. The application is a successful result of the 6th FW European Integrated Project GoodFood. The paper reports a real case study concerning the deployment of four pilot sites in four different vineyards located in Italy, Chianti region, and in France. The deployed systems, in one case operating for more than two years, exhibit unprecedented stand-alone and undiscontinued operation capability, with millions collected data so Jar, thus representing the state-of-the-art in the application of WSN technology to wine production management. The systems, far beyond being a simple technology demonstrator includes advanced agronomic prediction models capable of supporting critical management decisions in irrigation and chemical treatment management at unprecedented time/space scale. A major outcome was to establish a spin-off Netsens SH, which has developed a proprietary WSN solution for agriculture/environment monitoring now ready to market.
Inappropriate format for Document type, expected simple value but got array, please use list format