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
Monitoring and Controlling System of Field Information Based on Zigbee and Internet Technology
In order to transfer field information for precision agriculture without complex wiring and efforts to maintain devices, a wireless sensor network system based on ZigBee and internet technology is developed and tested. This system is composed of ZigBee nodes and local and remote monitoring computers. By using the ZigBee-based wireless sensor networks within a small scale and mutual communication between two computers through the worldwide internet, this system implements advanced functions such as automatic data acquisition, wireless transmission and real-time controlling. Sensor and routing nodes are separated to ensure uniform and low energy consumption of each node. Results show that this system possesses stable performance and low costs. The error ratio of the whole system is approximately 3.5% when the distance among nodes reaches about 15m, which meets the requirement of precision agriculture.
Inappropriate format for Document type, expected simple value but got array, please use list format