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
Obtaining 'useful' high-resolution soil data from proximally-sensed electrical conductivity/resistivity (PSEC/R) surveys
Apparent soil electrical conductivity (ECa) mapping has become a widely used tool in precision agriculture, because of its perceived ability to reflect soil properties which may be useful for delineating management zones. ECa has been used to infer soil clay content, profile thickness and chemical properties by means of regression. So far the approaches have not made the best use of the data - simple correlations are being sought without basic soil science reasoning. From knowledge of soil science, we expect strong and understandable relationships between certain soil properties and the apparent electrical conductivity. This paper attempts to derive a simple model relating soil ECa to its contributing factors and illustrates the practical applications through an example of soil clay content estimation.
Inappropriate format for Document type, expected simple value but got array, please use list format