Integração de Funcionalidades para Rastreabilidade de Produtos Orgânicos no Rastrogrão

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Universidade Estadual de Ponta Grossa

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The safety, quality and origin of food are the focus of current consumers, who seek information related to the production system. When it comes to food, where contamination events involve health risks, traceability allows the affected product batches to be identified and collected from the market quickly, with more efficiency and safety, thus reducing losses. In addition to the legal requirements around traceability in the food sector, the final consumer is increasingly aware of the search for access to information on the food they are consuming, and for this reason, the development of technological solutions is arousing. In this search, it was identified that Organic Agriculture is a productive process that has been growing over the years, and the reliability of the process also grows. The general objective of this work is to analyze an integration of features for traceability of organic products in RastroGrão. For this, this research consisted of a systematic literature review, on the occurrence of methods of adaptable functionality to traceability, exploring the innovations and usability possible to integrate in the RastroGrão Framework. The works were selected using the Web Of Science database and applied in Methodi Ordinatio. Of the 1,646 articles found on the general topic of agricultural production traceability systems, 101 are articles related to the topic in Brazil and 100 are indexed only in the year 2022. It is concluded that, with the integration of new features in RastroGrão for organic production through from obtaining IoT data and data quality measures through Blockchain, it is possible to achieve a better quality of the information of the organic product being traced and as well as to increase the control of the data in the traceability framework. Adding value to both the producer and the final consumer, generating timely and accurate information on the organic production process.

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