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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Development and application of expert systems in the textile industry


The textile and color industry has experienced many technological advances, which have resulted in improvements in quality and productivity. These advances have often accompanied reductions in personnel resources and a diminishing expertise base. Conversely, the resolution of problems in the global manufacturing complex increasingly go beyond the abilities of individual experts and can be very time consuming as the process is influenced by a large number of, often, interactive variables. The application of expert systems in the textile industry can help address many of these problems more effectively and economically. In this chapter, an overview of expert system technology is given and different types of expert systems including rule-based, fault trees, model-based, machine learning and hybrid approaches are described and compared. A brief review of system principles, strengths and shortcomings is given and the development strategy is described. Finally, various applications of expert systems in different sectors of the textile industry including product components (fibre, yarn and fabric), coloration and finishing as well as supply chain and management are highlighted and future trends are briefly portrayed.

  • US
  • N_Carolina_State_Univ (US)
Data keywords
  • machine learning
Agriculture keywords
  • supply chain
Data topic
  • information systems
Document type

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

Institutions 10 co-publis
  • N_Carolina_State_Univ (US)
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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.