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
The objective of this work was to create a sorption model of different pesticides in plant material. The above-quoted model includes graphic curves describing the pesticide's behaviour in time (concentration level) depending on the place of sorption. Apart from curves the model also includes mathematical equations that allow us to predict the concentration of a pesticide in time function. The model has been developed based on research data obtained in a special experimental device. This article accounts for the transportation model of chosen xenobiotics in plants. Chlorothalonil were used as a model pesticide. Chlorothalonil is a nonsystemic fungicide that has been used to control disease of many fruits, vegetables, and other agricultural crops. As a method of sample preparation supercritical fluid extraction was used. Gas chromatography with mass spectrometry was used for qualitative and quantitative analysis. The detection limit (LOD) of chlorothalonil was on level 0.01 mu g/g. and the limit of quantification (LOQ) was level on 0.03 mu g/g.
Inappropriate format for Document type, expected simple value but got array, please use list format