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
Design and Implementation of WeChat Public Service Platform for the China Research Center for Agricultural Mechanization Development, CAU
In order to speed up the effective integration between the agricultural mechanization and information technology, an information service platform based on WeChat (a mobile social network application in China) is designed for scientific research in this paper. By introducing the characteristics of WeChat public service platform and comparing multiple methods of information diffusion, the 4I model of wireless marketing can solve the conflicting information spreading problem with effectiveness, accurateness and personalization. For illustration, a wireless service platform of the China Research Center for Agricultural Mechanization Development, CAU, based on WeChat is proposed designing and establishing. It includes different function modules, such as client information management, intelligent response service and electronic commerce. Some databases have been designed in the platform, such as agricultural mechanization laws and regulations, statistics databases, research institutions and enterprise information, main crops production modes, agricultural machinery products and subsidies, expert system etc. Practical results show that the wireless network application will be used as the final decision in the information diffusion. It is expected to transfer information with lower costs, improve marketing competitiveness and increase the revenue for the enterprises.
Inappropriate format for Document type, expected simple value but got array, please use list format