e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

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.

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Facilitating the diffusion of alternative cropping systems for mountain agriculture in Vietnam


In the mountain areas of Northern Vietnam, the past decade was marked by rapid changes in agricultural production systems. Under the new land policies, some farmers had no other choice than to return to the traditional slash and burn cropping systems. Now, however, land allocation to individuals prevents farmers from shifting cultivation to newly cleared land, which is necessary to regenerate soil fertility, and thus for slash and burn practices to remain sustainable. As a consequence, in some villages there is an increasing risk of land degradation. As livestock feeding relies mainly on natural resources, land degradation results in chronic shortages of forage and more generally to a crisis in traditional production systems. To tackle these issues, the Mountain Agrarian Systems Program has designed alternative cropping systems based on direct seeding under a cover crop. Beside their widely recognized role in the conservation of soil and natural resources, these innovative techniques also provide good forage for the farm animals. However, their diffusion implies a profound reorganization of the crop-livestock systems at complementary scales from field, farm, and up to the village community. Accompanying such changes requires that all partners jointly develop communication procedures based on a common knowledge base. In this paper we discuss the spatial compartment model, a graphic discussion and simulation tool used to represent a village in a way that allows both researchers and local stakeholders to understand and visualize their individual and collective situations. We used the model to test a set of cropping innovations through a participatory simulation with local farmers. The farmers were very interested in the new techniques, and some began to test them on their own land. The spatial compartment model proved to be an effective communication tool between scientists and local stakeholders.

  • FR
  • PH
  • VN
  • Montpellier_Supagro (FR)
  • Cirad (FR)
  • IRD (FR)
Data keywords
  • knowledge
  • knowledge based
Agriculture keywords
  • agriculture
  • livestock
  • crop system
  • farm
Data topic
  • modeling
Document type

Inappropriate format for Document type, expected simple value but got array, please use list format

Institutions 10 co-publis
  • Cirad (FR)
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e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.