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
CPEST: An expert system for the management of pests and diseases in the Jamaican coffee industry
Over the last few years, environmental concerns have led to the emergence of the integrated management of pest and pesticides (IMPP) as a new way to deal with pests and pesticides in agriculture. Although the environmental and economic benefits of IMPP are beyond doubt, its use has been somewhat limited. One reason is the sheer amount of knowledge required of such things as climate, topography, soil type of the farm, agronomic practices, crop phenology, biology and damage potential of the pests and options available for suppressing their population below the economic injury levels. Unfortunately, such knowledge typically resides within a few experts and is not easily available to farmers. In order to make this knowledge more widely available, we developed CPEST, an expert system for managing pest and diseases of coffee in a developing country. The paper describes the architecture and development of CPEST, gives examples of the interface that a farmer would use to enter information and provides an evaluation of the quality of the advice that CPEST provides. (C) 2005 Elsevier Ltd. All rights reserved.
Inappropriate format for Document type, expected simple value but got array, please use list format