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
Although the advancement in sensor technology made inch-by-inch monitoring of agricultural field achievable but precision farming requires monitoring of several context attributes with context modeling to cope up with several distinct problems. Ontology is considered as most promising technique for context modeling. Despite several efforts towards developing agricultural domain ontology, lack of scalable ontology is still a concern. This paper describes scalable service oriented agriculture ontology (ONTAgri) that comprises over several small groups of concepts. The two major groups are system and agriculture. Agriculture group is further divided into core and services (like irrigation, fertilization) concepts. The notation of service oriented ontology made scalability and distribution possible which is the basic need of agriculture domain modeling.
Inappropriate format for Document type, expected simple value but got array, please use list format