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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A System for Pesticide Residues Detection and Agricultural Products Traceability Based on Acetylcholinesterase Biosensor and Internet of Things


This study presents a system based on acetylcholinesterase (AChE) biosensor and internet of things (IoT) for pesticide residues detection and agricultural products traceability. The system we presented based on AChE biosensor and IoT aims to extend the benefits of the pesticide residues detection date-remote control ability, data processing and sharing, agricultural products traceability and so on-to detection devices (hypogynous computer) in detection locations. These detection data got from detection devices were further aggregated, processed and analyzed by Epigynous computer in order to extract useful information(detection time, production places, detection samples, pesticide residues values, detection inspector) which were effective in protecting the quality and safety of agricultural products. In this study, the code of useful information was used in form of QR code, tracing and retracing the safety of agricultural products was achieved efficiently and reliably. In view of above, we design and implement a system based on AChE biosensor and IoT for pesticide residues detection and agricultural products traceability. It provides safe fruit and vegetable information for consumer, and lay foundation for the traceability of agricultural product.

  • CN
  • Shandong_Univ_Technol (CN)
Data keywords
  • internet of things
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.