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
Research on framework of decision_support system for partner choice and measurement in supply chain
Supply chain has been the most important contents for the company management and how to choose a right partner from many candidates has been a difficult decision for the company. The methods applied for partner choice and assessment now are mainly based on experiences and traditional structural methods. Some models and choice theories have been proposed in resent years, but what is presented is only stay on theory research. This study presents a perspective and technical framework based on decision_support system and agents about the problem. The framework integrates the various elements of the system such as interface, agents, model-base, data warehouse, database, knowledge base etc. Multi-agents, i.e. outsourcing agent, contract control agent, are designed and applied in the decision level, management level and operation level in the supply chain. The application of agents and decision_support system promote the flexibility and intelligence of the chain operation. The model proposed in this paper has the characteristics i.e. intelligence, flexibility, integration and collaboration and it provides a technical support on partner choice decision and assessment thus it is propitious to promote the supply chain performance.
Inappropriate format for Document type, expected simple value but got array, please use list format