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
This study is about the design of an automated fuzzy system for monitoring and controlling the shading and irrigation process. We incorporate an integrated web system which is designed and developed by Trono et al. (2014) with our designed fuzzy system. The integrated web system provides information about different rain rates of different rain events. These rainfall data are considered as input to our fuzzy system and by using our developed knowledge base; it generates decisions to maintain the shading and irrigation process in the crop field for different rain events. Use of shading system in the crop field and application of fuzzy logic to control and maintain the shading system with irrigation process is a novel idea. To save the crops from harmful effect of unwanted rainfall, our designed system can be applied in the real life scenario to get outstanding result in the field of agriculture.
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