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
Driven by soil, variety, weather and management databases and integrating process-based growth simulation model, morphological model and visualization model, a model-based digital and visual wheat growth system (MDVWGS) was developed using component-based software and visualization techniques. The system was programmed by the Net framework with the language of C# and CsGL Library was used for realizing 2D and 3D graphics application and visualization. The implemented system could be used for predicting growth processes and visualizing morphological architecture of wheat plant under various environments, genotypes and management strategies, and has the functions as data management, dynamic simulation, strategy evaluation, real-time prediction, temporal and spatial analysis,visualization output, expert consultation and system help. The MDVWGS should be useful for construction and application of digital farming system and provide a precise and scientific tool for cultivar design, cultural regulation and productivity evaluation under different growing conditions.
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