Evaluation of new approaches to the access of official monitoring results for live bivalves molluscs.

Background Live bivalve molluscs, echinoderms, tunicates and marine gastropod are referred in EU food laws, and require member states to implement official controls in classified production areas, with the monitoring and classification of those areas. If, due to contaminant tests results, a producti...

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Publicado en:European Journal of Public Health Vol. 29; no. 5; pp. 821 - 826
Autores principales: Costa, Manuel Beja da, Jurczuk, Magdalena, Marques, Bernardo, Silva, João Nuno
Formato: research tables/charts Journal Article
Publicado: Oxford University Press / USA Oct2019
Acceso en línea:Ver este registro en EBSCOhost
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      jtl: European Journal of Public Health
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      dt: Oct2019
      vid: 29
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      pub: Oxford University Press / USA
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        10.1093/eurpub/ckz018
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        atl: Evaluation of new approaches to the access of official monitoring results for live bivalves molluscs.
      aug:
        au:
          Costa, Manuel Beja da
          Jurczuk, Magdalena
          Marques, Bernardo
          Silva, João Nuno
        affil: INESC-ID Lisboa, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal
      sug:
        subj:
          Information Science
          Algorithms
          Mollusca Analysis
          Food Labeling Evaluation
          Human
          Mobile Applications
          Photography
          Smartphone
          Food Legislation and Jurisprudence
          Automation
      ab: Background Live bivalve molluscs, echinoderms, tunicates and marine gastropod are referred in EU food laws, and require member states to implement official controls in classified production areas, with the monitoring and classification of those areas. If, due to contaminant tests results, a production area is closed, any product from there is prohibited to be commercialized. Mobile applications optical character recognition (OCR) functionalities could ease the access to contaminant levels and production area classifications. This study verifies what information is available in live bivalves' labels, describes an OCR algorithm for those labels and evaluates it. Methods 86 labels were selected from four sale points in Lisbon, and photographed using smartphones. Each label was evaluated by a human to determine what data was available (either required or not). An OCR algorithm was developed and applied on the collected labels and validated against the data extracted by the human analysis. Results The analysis shows that all the labels included the required information, and 63% of the labels included the identifier for the production zone. The label-reading algorithm performs with an accuracy of 79.85% for the individual values. Conclusion High accuracy of the developed label-reading algorithm shows potential for providing instant automatic access to the date and production area, but is affected by the variability on the label structure. Although not required by food laws, the majority of the sampled labels included complementary information (classified production area) that will allow access to more precise information about the existing biotoxin tests and analysis results.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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