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 Key Technology Research on Soil Pollution of Agro-environment and Information Regulation in Agricultural Materials Using
With extensive use of harmful agricultural materials such as fertilizers, pesticides and plastic film, to bring a lot of soil and cause environmental harm. Around agricultural materials used in the field, this article discusses the key technology on agricultural materials and information management in supply chain, using RFID, database, QR code and sensor. The key problem includes agricultural information content, classification, acquisition, identify and handling. A method of identifying agriculture based on RFID is presented in this article. In this method, radio frequency identification (RFID) and QR code are used to identify agricultural information, including production information, logistics information, sale information, using information and so on, in order to supervise its quality and using in the field. At last, we the information management platform is designed, which is the important foundation and basis for the planning revision. All of these studies could prevent bad or excessive agriculture from flooding the fields, protect of agricultural production security, and achieve the goal of agricultural environmental protection.
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