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 fine-grained multi-factor estimation of crop-hail damage is required to progress from manual inspection of crops post-event to automated assessment and accurate forecasting of the expected impact on agricultural areas. Such automated processes will enable more accurate claims processing, improve customer satisfaction, and reduce insurance losses. This paper demonstrates the value of Gaussian Processes for the construction of such a multi-factor model of crop-hail damage. This is underpinned by a survey of public datasets, and a description of the target dataset to support an operational crop-hail damage model.
Inappropriate format for Document type, expected simple value but got array, please use list format