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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Software for planning loose yards and designing concrete constructions for dairy farms in arid and semi-arid zones


To plan and design dairy housing, several calculations should be made; this requires time and efforts, with the possibility of making mistakes. The objectives of this paper are to develop a tool to assist the designers in planning and designing dairy housing in arid and semi-arid zones, to save time and efforts, and to provide a new design Model. Two mathematical models were developed to plan and design corral systems and the required concrete constructions. Subsequently, an electronic spark map (decision tree) was developed for each mathematical model, and then the mathematical models were integrated into the electronic spark maps. Afterwards, C# (C Sharp) programming language was used to develop the software by integrating the electronic spark maps, and making the user interface. The developed software is able to plan and design the housing system (corrals system), specify corrals and house dimensions, and compute the required amounts of construction materials (iron rods, cement, sand, and gravels) to build the required concrete base. Furthermore, it calculates the capital investment and the fixed, variable, and total costs of the construction. Data of 6 dairy farms were used to validate the model, and to evaluate the software. The differences between actual and calculated values were determined, and the standard deviations were calculated. The coefficients of variation (COVs) range between 3% and 7%.

  • EG
  • DE
  • Univ_Hohenheim (DE)
Data keywords
Agriculture keywords
  • farm
  • farming
  • livestock
Data topic
  • information systems
  • modeling
  • sensors
Document type

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

Institutions 10 co-publis
  • Univ_Hohenheim (DE)
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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.