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
Various automation agents can be embedded in a modern decision_support System in agriculture, based on the following design approaches: E-Learning Agent, Monitoring Agent, Fault Diagnosis Agent, Weather Information Agent, E-Commerce Agent and Logistics Agent. The proposed Agents contribute to farmers' education, to timely correct fault diagnosis and the incorporation of modern agricultural techniques. Moreover, they allow processing historical data, while taking into account several factors in order to support decision making. The preliminary Automation Agents for decision_support Systems (AADSS) model idea may be applied to various agribusiness activities on international level. Moreover, an operator agent is proposed, that exploits technological and economic information gathered from all the aforementioned Automation Agents in order to make decisions regarding the proposal of possible scenarios in a chain of raw material production to a final product. An initiative to develop and introduce stepwise a model for hop industry decision_support system with embedded automation agents has been launched within the International Hop Growers' Convention (IHGC). It is intended to support growers, merchants and brewers through their various decision making activities in agribusiness. The first concept results validate the application of a model for future research.
Inappropriate format for Document type, expected simple value but got array, please use list format