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
Tracking and traceability of products and raw material in the shopfloor has become one of the major subjects in the research arena [Montanari, D.J., & Aly, N. (1995). Inventors of methods for tracking the production history of food products, a US registered patent system, December; Billo, R. E., & Bidanda, B. (1998). Modelling effective material tracking systems, a case study in wireless technology, industrial Engineering Solutions 98, Proceedings, pp. 10-17; Chanet, J. P., & Eynard, P. (2000). Technologies for the traceability in the meat industry, Technical Report: Adaption Control & Information Tracing. Proceedings of the First International Meat Automation Congress MAC 2000, pp. 1-6]. Food industry is especially the focus of recent material tracking and traceability initiatives [Furness, T. (1998) Traceability in the livestock and meat products supply chain, Traceability Action UK (TAUK) Report and Recommendations, Coordinated by AIM UK (June 1998). http://www.defra.gov.uk/; Meghen, C. (2000). Traceability technologies for the meat industry, Technical Report: Adoption, Control & Information Tracing. Proceedings of the First International Meat Automation Congress MAC 2000, pp. 23-26]. One of the major areas that traceability of meat products call be compromised is at the boiling and trimming stage. In this paper, the authors attempt to provide a solution for tracking and tracing meat cuts in a typical boiling hall. The proposed system should be able to maintain high standards of operational fluency whilst maintaining 100% traceability. This could only be achieved by providing ail operational smart material handling system that could address public health and safety concern. This paper represents the technical and innovative achievements in developing a fully operational novel conveyor concept (bead driven [Jephcott, D. L. (2002). Method and apparatus for transferring drive, Patent No. US2002057956, see web page: http://12.espacenet.com/espacenet/bns.pdf?PN=US2002057956&ID=US2002057956A1+I+&PG=1]) and the associated SCADA system in a boiling hall. It will then elaborate on the Information System (IS) designed for transferring the data collected from the shopfloor to intraorganisational data management systems. A multistage procedure to relate a novel idea to a fully operational smart conveyor system capable of storing, maintaining, and transferring product information into complex routings of a harsh food environment is described in detail. Integration of mechanical design, electronic architecture, and radio frequency (RF) identification equipment using the state-of-the-art factory control Programmable Logic Controllers (PLC) and Supervisory Control and Data Acquisition (SCADA) suite of software is discussed. Various hardware tests, destructive or simulated, conducted to ensure maximum conformity to industry standards, are described. Specific tests were applied to the control software and Data Management System (DBMS) to maintain the integrity of the tracking and traceability system. Although this paper and the technology developed are targeted for meat processing industry, the result can be used as a platform for other industries that require 100% traceability, e.g., pharmaceutical and aerospace industries. (c) 2004 Elsevier Ltd. All rights reserved.
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