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.

You can access and play with the graphs:

Discover all records
Home page


Integration of a cropping systems simulation model and a relational database for simple farm-scale analyses


Agricultural simulation models are important tools in research , extension, policy formulation, and teaching. Their integration with relational databases allows carrying out complex and comprehensive data analyses of model inputs and outputs. In this article, we describe the integration of a dynamic cropping systems simulation model (CropSystVB) and a relational database (Microsoft Access), with the aim of developing a tool for simple applications at the farm scale. The data model, designed with the entity-relationship framework, represents the structure of the data and allows for organized and retrievable storage of inputs and outputs of the simulation model. In addition to standard CropSystVB's inputs (soil, crop, weather, management events), the integrated tool also requires input data to describe the nutrients produced by livestock and allows for spatially variable fields, soils, and management options. Farm simulation scenarios can be defined, including the actual and alternative configurations of animal breeds, rotations, and crop management. One or more rotations can be simulated for each scenario; each rotation is located on a homogeneous area (a field, or part of it, or a group of fields); each area is described with relevant soil and weather inputs. The Microsoft Access implementation of the integrated tool (www.bsyse. wsu.edn/cropsyst; verified 15 June 2007) includes a Visual Basic for Applications version of the model and tables and forms to store and manage data. An example simulation in an animal farm with six scenarios, obtained by the combination of three animal loads and two irrigation systems (surface and sprinkler), is presented to illustrate its use.

  • IT
  • US
  • Univ_Milan (IT)
  • Washington_State_Univ (US)
Data keywords
  • data model
Agriculture keywords
  • farm
  • crop system
  • agriculture
  • livestock
Data topic
  • information systems
  • modeling
Document type

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

Institutions 10 co-publis
  • Washington_State_Univ (US)
Powered by Lodex 8.20.3
logo commission europeenne
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.