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 ontology-based knowledge representation and implement method for crop cultivation standard
This paper introduces a representation method which combines domain ontology and task ontology based on crop cultivation standards (CCS). It uses combined ontology to represent CCS through analysis of "Good Agricultural Practices" and theory of agricultural ontology. Domain ontology contains static information during growing, such as soil, seed and agricultural machines. Task ontology builds on the point of plant process: soil selection, seed selection, fertilization and irrigation. The process is divided into prenatal, birth and post-natal stages. Finally, we take pepper as an example to show the application of CCS ontology. Results show that the method implements knowledge management effectively and provides convenience for agricultural information services. (C) 2011 Elsevier Ltd. All rights reserved.
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