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 digital management system of cow diseases is presented in this paper, which based on standardization disease management framework. It can manage dairy cow disease from each stage including cow file creation, routine monitoring, disease prevention and control. Integrate electronic medical records was set up, which based on medical records include cow basic information and routine monitoring results and disease prevention information and can implement statistical analytic function of disease rate and guide cow immunization. The Unique numbers and integrated medical records information of every cow will lay the foundation for food of animal origin traceability. This system includes four subsystems, cow basic information management subsystem, cow individual health monitoring and evaluation subsystem, cow electronic medical records subsystem and cow disease prevention and control subsystem. With the help of system analysis and software design techniques, it is can manage cow disease on dairy farm effectually.
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