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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Object Oriented Eco-Simulator System as Predictor & Exploratory System to Track Impact of Human Induced Activities on Environmental Resource A case study: Evaluation of unsuitable ground water consumption of petrochemical and power factory of Shazand on ecological status of Markazi province


Environment system studies regardless of main reasons are very difficult whereas they have been constructed from natural ecosystems, manmade infrastructure, socioeconomic virtual objects and also their perplexing inner relations. Furthermore, ecosystems as any other elements, have iterative multi-scale structure which makes it even more sophisticated to study. That's why real compound system studies look breathtaking and also too difficult. Gradual depletion of perched water tables in "Shazand" watershed of "Markazi" province in Iran, which mainly stems from bulky extraction of water resources by huge factories and intensive agriculture e.g., doesn't treated well by policy makers not only due to lack of well-based studies but also via devoid of potent monitoring and prediction simulator system to manifest decision side effects to managers and those whom are responsible to keep the environment system balanced. Although GI functionalities have exhibited wonder abilities to handle spatial problems, they seem weak in processing ecosystem real problems as there is few specified environment modules. While combination of GIS and environment modeling software intensively suffers from integration issue, simulator software are mainly confined due to filed limitation, non-spatial functionalities and spatial ontologies. To present a proper solution which makes up the mentioned deficiencies, first of all, a problem tree was designed to decompose real cybernetic correlations between "Shazand" watershed elements including natural or manmade ones. Then, object oriented concept was deployed to simulate sophisticated real environmental systems and also to simplify programming issues regarding to exact spatial ontology. To complete the solution, a category based on "Category Theorem" was defined to support temporal concepts on the backdrop of real ecosystem phenomena regarding Spatiotemporal modeling concepts and object oriented foundations. Likewise group of functors were designed via functional language to allay process burden and also programming of object counteractions. Emerging spatial simulator system, supports monitoring issues as well as prediction missions in compound environment systems. It has been also indicated how to use it as an exploratory analyzing system which conduct real analytical system consisted of virtual smart analytical objects.

  • IR
  • Univ_Tehran (IR)
  • Arak_Univ_Technol (IR)
  • Khajeh_Nasir_Toosi_Univ_Technol (IR)
Data keywords
  • ontology
Agriculture keywords
  • agriculture
Data topic
  • information systems
  • sensors
Document type

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

Institutions 10 co-publis
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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.