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
An adapted business process modeling approach has been designed to meet the requirements on business process models in the field of Precision Dairy Farming. This new adapted modeling approach is based on the Business Process Model and Notation (BPMN) and has been designed to overcome the shortcomings proposed by the BPMN when used with rule intensive business processes as found in the Precision Dairy Farming. The constraints in the processes will be expressed in a standardized way using only words, that are defined in a business vocabulary. The business process models then serve as a basis for the development of the software architecture and the implementation.
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