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
Nowadays, water has become a highly precious resource due to its growing supply around the world. Policy makers, agronomists, farmers are facing challenges in reducing water consumption and making the best irrigation schedules. In order to support them, recent advances in decision_support making and wireless sensor technologies offer vast opportunities for agriculture sector development. The present paper aims at the realization of a monitoring Web-Based decision_support System communicating with a Wireless Sensor Network for irrigation scheduling in developing countries context. The system goes further and supports the farmer for restructuring agriculture land using Geographic Information System maps and provides the information needed as the climate and soil measures referring to mathematical methods and algorithms as the Food and Agriculture Organization's Penman-Monteith method. The analysis, design and implementation of the this system are presented to adapt changes of crop design, field location and irrigation patterns taking into account all particularities of such environments constraints as the field conditions, devices availability, etc.
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