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
Design and Implementation of Real-Time Monitoring and Intelligent Management System for Intensive Aquaculture
Extensive aquaculture has been used in Chinese aquaculture farms for a long time. Inefficient and high consumption are main shortcomings for this aquaculture type. This paper designed and implemented an aquatic parameters real-time monitoring and management system based on water quality sensors, wireless sensor network and information management technologies. The system can monitor water quality parameters in real-time and automatically (or manual) control aquaculture equipment according timing, threshold or mobile short message service. Also, according to different aquaculture objects, the system provides one-stop information services as aquaculture disease warning and diagnosis, bait feeding etc. The applications in eight different regions in China have proved the system can effectively improve the intensive aquaculture
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