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:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
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.
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