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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Estimating environmental impacts of agricultural systems with LCA using data from the French Farm Accountancy Data Network (FADN)


This work developed environmental indicators from the economic and agricultural database of Farm Accountancy Data Network (FADN). Two environmental impacts, climate change and non-renewable energy use, were estimated from the database according to the life cycle assessment (LCA) approach. The large variability observed seems to be linked to production orientation and geographic location. Livestock production was strongly correlated with the impact of climate change, particularly cattle production, due to its high emissions of enteric methane. Farms specialized in cereals and cash crops showed high non-renewable energy use, linked with intensive use of mineral fertilizers. Some mixed farm holdings, whether livestock-oriented or crop-and livestock-oriented, had impacts similar to those of the specialized farming system which each of them resembled most. Impacts varied according to geographic location in France. For farms specialized in cereals or dairy production, direct greenhouse gas emissions and indirect energy consumption predominated. Impacts for specialized dairy farms varied greatly per unit of agricultural area ( hectares) but less per 1,000 euros of revenue. In contrast, impact variability for specialized cereal farms was lower per hectare but considerably greater per 1,000 euros. Continuing the study will be useful for improving methods and results of these farming systems. It will also be interesting to consider more detailed methods to understand mixed crop-livestock farms, as these systems are widespread.

  • FR
  • Inra (FR)
  • Agrocampus_Ouest (FR)
Data keywords
  • agricultural database
Agriculture keywords
  • agriculture
  • farm
  • farming
  • cattle
  • livestock
Data topic
  • information systems
Document type

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

Institutions 10 co-publis
  • Inra (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.