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
A Bayesian Based Search and Classification System for Product Information of Agricultural Logistics Information Technology
In order to meet the needs of users who search agricultural products logistics information technology, this paper introduces a search and classification system of agricultural products logistics information technology search and classification. Firstly, the dictionary of field concept word was built based on analyzing the characteristics of agricultural products logistics information technology. Secondly, the system used meta-search engine to search related pages on the Internet based on keywords collections, and then used Web mining to analyze and filter the relevant pages. Finally, classify the agricultural products logistics information technology by web text classification according to different users' needs. The results showed that the system could efficiently and accurately search the required information, and classification with good results.
Inappropriate format for Document type, expected simple value but got array, please use list format