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
To remain competitive in business and to be quick responsive in the warehouse and supply chain, the use of RFID has been increasing in many industry areas. RFID can identify multiple objects simultaneously as well as identifying individual objects respectively. Some limitations of RFID still remain in the low recognition rate and the sensitive response according to the material type and its ambient environment. Much effort has been made to enhance the recognition rate and to be more robust. Examples include tag design change, antenna angle, search angle, and signal intensity to name a few. The paper proposes fuzzy logic based ontological knowledge system for improving the recognition rate of RFID and the variance of recognition. In order to improve a performance and reduce a variance, the following sub-goals are pursued. First, ontology is constructed for the environmental factors to be used as a knowledge base. Second, fuzzy membership function is defined using the Forward Link Budget in RFID. Finally, a conceptual knowledge system is proposed and tested to verify the model in the experimental environment.
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