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
On-farm testing of a nutrient management decision-support tool for rice in the Senegal River valley
We evaluated recommendations provided by a cloud-based decision-support tool named Nutrient Manager for Rice (NMR) in terms of yield of irrigated lowland rice and profitability in comparison with farmers' fertilizer management practices (FFP) in the Senegal River valley. A total of 102 on-farm trials were conducted over the three seasons (2011 wet season, and 2012 and 2013 dry seasons). On average in each season, NMR recommendations increased rice yield by 1-2.3 t/ha and profitability by US$ 216-640 per ha compared to FFP. Differences between FFP and NMR performance were mainly related to timing of the top-dressing of N fertilizer (delayed in the case of FFP), the number of N fertilizer applications (generally just one top-dressing for FFP; two or three for NMR), and application of K. We conclude that NMR offers a promising avenue for increasing the productivity and profitability of irrigated lowland rice in the Senegal River valley. (C) 2015 Elsevier B.V. All rights reserved.
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