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
In cereal crop production, approximately 30% of nitrous oxide (N(2)O) emissions and 47% of total energy inputs are attributed to the use of mineral N fertilizers Furthermore, leaching of surplus N can contaminate ground water and promote eutrophication In recent years, sensor-based systems for variable-rate N fertilization have been developed to optimize the ratio of grain yield to N application rate Most commercially available sensors are based on opto-electronics, however, a mechanical crop biomass sensor (Crop-Meter) has been recently developed Thus, the objective of this study was to evaluate the Crop-Meter for N application in cereal crops The sensor was attached to conventional farm equipment, allowing on-the-go variable-rate N application and was evaluated during a three-year research project (2005-2007) on five large-scale farms in East Germany In strip experiments, sensor-based crop biomass analysis and subsequent N fertilization contributed to a median increase in N efficiency of 14 4% The observed increase in N efficiency was caused by a 10% to 15% reduction in N fertilizer and was not attributed to gains in yield In field-scale experiments, a reduction in N of 17 kg N ha (1) was observed, which was similar to the value obtained in strip trials (21 kg N ha (1)) Annual use of the biomass sensor on an area of 250 ha or more can increase profits of grain cultivation
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