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
Evolution of a Structure-Searchable Database into a Prototype for a High-Fidelity SmartPhone App for 62 Common Pesticides Used in Delaware
Synthetic pesticides are widely used in the modern world for human benefit. They are usually classified according to their intended pest target. In Delaware (DE), approximately 42 percent of the arable land is used for agriculture. In order to manage insectivorous and herbaceous pests (such as insects, weeds, nematodes, and rodents), pesticides are used profusely to biologically control the normal pest's life stage. In this undergraduate project, we first created a usable relational database containing 62 agricultural pesticides that are common in Delaware. Chemically pertinent quantitative and qualitative information was first stored in Bio-Rad's KnowItAll (R) Informatics System. Next, we extracted the data out of the KnowItAll (R) system and created additional sections on a Microsoft (R) Excel spreadsheet detailing pesticide use(s) and safety and handling information. Finally, in an effort to promote good agricultural practices, to increase efficiency in business decisions, and to make pesticide data globally accessible, we developed a mobile application for smartphones that displayed the pesticide database using Appery.io (TM); a cloud-based HyperText Markup Language (HTML5), jQuery Mobile and Hybrid Mobile app builder.
Inappropriate format for Document type, expected simple value but got array, please use list format