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
Information management is becoming an increasingly challenging task for farmers, especially in terms of the amount of data and the complexity of processes in precision farming. One of the most demanding functions is data acquisition. Mobile farm equipment featuring different sensors is able to collect a large amount of data while working. Automated process-data acquisition can be the basis for information-steered agricultural production. But use of these data is restricted today by hardware and software compatibility, different data formats, the lack of a concept for reusing data, and the amount of data. This paper presents a prototype implementation of an agricultural process-data service (APDS). It is part of an infrastructure for data management in information-driven plant production, developed in the Pre agro joint research project. Data are recorded in an ISOBUS environment and transferred to a server. There they are analyzed and aggregated to jobs. Data can be requested for further use via a web portal and a web service interface. (c) 2008 Elsevier B.V. All rights reserved.
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