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
Business intelligence has been adopted for increasing profit and sharing information, especially for large sectors. One of the sectors is agriculture, which paddy is one of the biggest plantations for staple food industries. In particular, the Malaysian Paddy Management System (PMS) that provides the information to the farmers, brokers, agencies and government still lack of reliable and accurate information for planning and supporting decision making. Therefore, the data warehouse is used to integrate various agency databases into one big database for PMS. Moreover, the PMS will be implemented in a mobile environment to ensure the paddy sector activity can be benefited from the information provided. The mobile data warehouse architecture is developed and uses the paddy farming in Kedah state as a case study. The portable PMS is developed based on mobile data warehouse architecture. The PMS is evaluated by using an expert review technique, which is focusing on the eight dimensions of the software quality model.
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