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
Forecasting of the market demand is an important part of supply chain management of the tobacco wholesalers in China. Traditional forecasting method for tobacco market demand bases on the orders of retailers and the evaluations of the different departments which use different forecasting methods. The existing forecasting method causes normally large forecasting errors between the forecasting results and the actual sales amount. This paper presents a new market forecasting system for tobacco wholesalers in China based on a new developed market demand forecasting model. By applying the new system for a sales company in China shows that this model can help sales company to improve the forecasting accuracy for annual and monthly market demands significantly. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Intelligent Information Technology Application Research Association.
Inappropriate format for Document type, expected simple value but got array, please use list format