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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Standardization and performance of a visual Gestalt evaluation of biocrystallization patterns reflecting ripening and decomposition processes in food samples


The biocrystallization method is based on the phenomenon that additive-specific, dendritic crystallization patterns emerge when an aqueous dihydrate cupric chloride solution with additives is crystallized on a glass plate. The patterns reflect physiological processes like ripening and decomposition and are applied in differentiating food samples according to feeding regime, production system and degree of processing. The method has been used for decades in organic food quality assessment from an ontological holistic stance. The patterns are evaluated visually and by means of computerized image analysis. The present study describes the development of the visual evaluation from a morphological description of structural features towards the perception of a Gestalt, a salient, coherent 'meaningful-whole', which complies more closely with the pattern formation principle of the method. The methodology was standardized according to ISO-Norms 11035 and 8587 for sensory analysis of food products, adapted for use in the visual evaluation of biocrystallization patterns. Two Gestalts, 'Ripening' and 'Decomposition', reflected in biocrystallization patterns from diverse agricultural products were characterized, trained on and examined. Based on the statistical evaluation, it is concluded that the panel has become reliable and appropriate for ranking biocrystallization patterns according to the intensity of the two Gestalts. The developed level of Gestalt evaluation of biocrystallization patterns provides a basis towards qualitative interpretative judgements on the food quality of a product relating to quality concepts based on plant physiological processes.

  • NL
  • DK
  • DE
  • Univ_Bonn (DE)
  • Louis_Bolk_Inst (NL)
  • Univ_Kassel (DE)
  • Crystal_Lab (NL)
  • Univ_Appl_Sci_Leiden (NL)
Data keywords
  • ontology
Agriculture keywords
  • agriculture
Data topic
  • information systems
  • semantics
Document type

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

Institutions 10 co-publis
  • Univ_Bonn (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.