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
Economic analysis of precision plant protection by stochastic simulation based on finite elements method
The introduction of a new technology requires complex farm-management decisions, including the consideration of economic correlations (costs-yield-income). The positive environmental impacts of utilizing precision farming (nutrient supply, crop protection) as a technological alternative to sustainable agriculture are inevitable, and resulting positive outcomes affect everyone involved. Concurrently, the introduction of the technology requires significant investments on behalf of the farmer. These investments can be realized from the income surplus realized from increasing yield potential. In the research, data from technological experiments, conducted in Hungary, were analyzed, and the finite element method was adapted in order to elaborate a stochastic simulation model which divided a sample plot into small parcels. This division allowed researchers to examine the impact of precision nutrient supply and a differentiated spraying strategy of crop protection programmed according to the weed effect on costs and yield, as well as the impact of changes on gross margin (income) and the returns on technological development.
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