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 Web-based Agricultural decision_support System on Crop Growth Monitoring and Food Security Strategies
Food shortage has been among the most threatening problems to the world since the beginning of the new century. And it means more to the countries with a large amount of citizens such as China. Chinese governments at different levels have being taken different kinds of actions to stabilize and increase the yields of grains. A major premise of making right decisions is the ability to accurately assess crop growth and food supply, and an scientific decision-making process to provide appropriate strategies or countermeasures based on them. This can be accomplished partly by using the decision_support system (DSS) that provide accurate and detailed information about crop growth and food supply. In this paper, an agricultural spatial DSS (ADSS) frame was studied and developed to meet the increasing demands. The ADSS was aimed at suggesting efficient strategies for problems in crop growth and food safety as well as providing timely and accurate information about crop growth and food supply. The system, based on the spatial information technologies and crop growth simulation methods, contains three parts: (1) a spatial agricultural resources data warehouse has been constructed; (2) a crops monitoring and simulation package was studied and developed; (3) a spatial decision_support package for food-supply security developed. The ADSS has been applied to the Northeast China and been proven to be a successful tool for crop growth monitoring and food security strategies.
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