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
A germplasm resources data collection and management geographic information system based heavyweight network
Recent advances in wireless sensor networks (WSNs) technologies and their incorporation with geographic information system (GIS) technologies offer vast opportunities for development and application of agriculture fields. This paper describes the design and implementation of jujube real-time monitoring and management system based on the WSN and GIS in germplasm resources fields. This system includes two parts: one is the data monitoring and collecting part based on the WSN, in which its sensor nodes can measure and collect various parameters such as air temperature, soil information, wind speed, rainfall and also some information of image and video. In addition, we discussed the communication protocol and nodes deployment method in this part. Another part is the data management system which consists of the remote monitoring subsystem and the jujube germplasm resources expert subsystem. It provides functions of jujube germplasm information storage and queries of remote monitoring data with the GIS technology. This work not only promotes the management of jujube trees, but also helps us cultivating superior varieties. (C) 2013 Elsevier Ltd. All rights reserved.
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