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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Using on-field data to develop the EFI (R) information system to characterise agronomic productivity and labour efficiency in peach (Prunus persica L. Batsch) orchards in France


An Internet database to record information from growers' plots was developed to characterise agronomic performance and labour efficiency of peach-nectarine (Prunus persica L Batsch) production in France. Six indicators were used: gross yield (Yield), percentage of fruit size above or equal to grade A (GradesA), fresh marketable yield in GradesA (MYieldA), total working time (Hours in h ha(-1)), total working time per gross yield (HoursYield) and total working time per fresh marketable yield in GradesA (HoursM-YieldA). The database contained 24,737 year-plots over the period 2000-2005, representing nearly 30% of the French peach-nectarine production. References based on the median and the 20th and 80th percentiles were developed for similar to 100 of the most commonly-grown cultivars and presented for yellow-fleshed peach cultivars. The growers who recorded their data in the EFI database were then able to carry out an assessment of each plot in their orchards by comparison with the reference values of the six indicators. The analyse of EFI database on the country scale showed that the maturity period was the main factor which strongly affected agronomic performances and labour efficiency ratios, but not total working times. Nectarine genetic traits reduced only fruit size. Working times for the main manual operations were very significantly affected by region factor partly because orchard height differed according to regions. Tree height strongly influenced the performances. Low trees decreased yield (-4.9 Mg ha(-1)) and high trees increased total working time about 190 h ha(-1) compared to mid-high trees. The use of the EFI information system by the growers is discussed in relation with the participatory process in which technical advisers make it possible to build a tool to support the decision-making process in accordance with users' expectations. (C) 2008 Elsevier Ltd. All rights reserved.

  • FR
  • Inra (FR)
  • Ctifl (FR)
  • Chambres_Agr (FR)
  • CETA_Ctr_Etudes_Techn_Agr (FR)
  • GRCETA_Basse_Durance (FR)
Data keywords
  • information system
Agriculture keywords
    Data topic
    • information systems
    • decision support
    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.