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 and its management for differentiation of agricultural products: The example of specialty coffee
Prices of most of agricultural commodities show a long-term declining trend. increasingly markets are signaling demand for differentiated products and in order to increase their incomes farmers and traders are looking to higher value options, including differentiated products. Product differentiation occurs when a product offering is perceived by the consumer to differ from its competition on any physical or non-physical characteristic including price. The differentiation can be based both on perceptual differences and also on actual product differences, based on measurable characteristics. The information requirements for supply chain management of differentiated high value products are much more stringent than fortraditional agricultural commodities requiringa two-way information flow from the producer to the customer. The conceptual base for information systems to support supply chain management of differentiated products is described in this paper. An Internet-based coffee information system (CINFO), illustrates how these principles can be applied to the case of specialty coffee. CINFO provides farmers information on where and how to produce coffee with particular features, whilst at the same time providing traders with information on the availability of products with particular traits. Furthermore, CINFO traces individual product batches indicating where and how they were produced, processed and distributed to the end consumer so as to facilitate identity preservation, which is the key to obtaining added value from differentiation. (c) 2007 Elsevier B.V All rights reserved.
Inappropriate format for Document type, expected simple value but got array, please use list format