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
Knowledge-based spatial decision_support systems: An assessment of environmental adaptability of crops
The development of knowledge-based decision_support systems for environmental planning requires the management of complex geospatial information, the integration of expert judgment with decision models, and the dynamic visualization of geographic terrain. This paper describes the design and implementation of a knowledge-based interactive spatial decision_support system for identifying the adaptability of crops at a given agro-ecological zone. The system (Eco-SDSS) illustrates the integration of an expert database ECOCROP 1, developed by the Food and Agricultural Organization (FAO), with Geographic Information Systems (GIS) to offer a flexible interface to identify tolerant plant species for a defined use and descriptions. The use of such tools offers increasing efficiency for potential extension and research in crop management and land use planning. (C) 2008 Elsevier Ltd. All rights reserved.
Inappropriate format for Document type, expected simple value but got array, please use list format