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
Study on Web-Based Cotton Fertilization Recommendation and Information Management decision_support System
Based on the regional difference in soil fertility, the nutrient uptake of crop, the nutrient supplying capacity of soil and the response of fertilizers, etc., this study took the 81th regiment of the 5th agricultural division in Xinjiang Bingtuan as the training and cooperative region, and established the information system of soil nutrients for cotton fields and recommendation model of fertilization. Constructed comprehensive, digital and intellectualized WEB-based cotton fertilization recommendation and information management decision_support system by using SQL+JSP+Win2000. The system had been applied successfully in 2005 and 2006 there, and in 2006 the mean yield per hm(2) increased by 7.3%than that of former 3 years, and the fertilizer cost per hm(2) reduced 114 yuan(RMB).
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