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 and Implementation of Agricultural Science and Technology Consulting System Based on Ajax and Improved VSM
In order to overcome the disadvantages of inconvenience and low accuracy of keywords spitting search, and artificial answer delay for the online messages in the current agricultural consulting system, this paper proposes a solution which complement the advantages of automatic question answer with expert real-time answer. Firstly, vector space model was improved by semantic extension and feature item weight modification. And then, based on the agricultural technical information database and expert team, an agricultural science and technology consulting system was developed by the Ajax. To the simple natural language questions, the system answers it automatically through improved vector space model in automatic question and answer. To the complicated question, the agricultural experts gave answer immediately after chatting with inquirer on line in expert real-time answer. The experiment show that the system has features of accurate and rapid reply, professional answer and high satisfactions. It can better meets the need of agricultural production techniques.
Inappropriate format for Document type, expected simple value but got array, please use list format