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
This study examined a modified newsvendor problem. The modified newsvendor problem concerned with how wholesalers can achieve maximum profits. Instead of building a profit function for the wholesalers and finding the optimal solutions as previous studies would do, this study proposed a novel, data mining approach to address the problem. Specifically, the modified newsvendor problem were transformed into a classification problem. According to a set of relevant attributes, we used the regularized multiple criteria linear programming (RMCLP) model to classify dealers into two categories, namely Type A and Type B, according to the associated order quantity of dealers. Experiments showed that the RMCLP model gave high accuracy in predicting to which type a dealer belong to. One important implication of this study is to provide insights into the design and development of supply chain coordination policy. (C) 2013 The Authors. Published by Elsevier B.V. Selection and peer-review under responsibility of the organizers of the 2013 international Conference on Information Technology and Quantitative Management
Inappropriate format for Document type, expected simple value but got array, please use list format