Abstract
In the process of processing agricultural product quality and safety data, the traditional model will have problems such as long delay and redundant storage. Therefore, based on blockchain technology, combined with historical data, real-time data features, external shared data features and previous research results, the data is deeply integrated, the agricultural product quality and safety big data fusion model is designed. Create a big data fusion framework based on blockchain technology to collect and process agricultural product quality and safety data reasonably and efficiently, realizing the quality and Safety of the Integration of Agricultural products big data. The data architecture is proposed in the big data fusion model, and the collection and data storage methods of the quality and safety supervision system are designed to achieve efficient collection and storage of data. The experiment proves that the agricultural product quality and safety big data fusion model has certain advantages over the traditional model.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wang, K. (2019). Design of Agricultural Product Quality and Safety Big Data Fusion Model Based on Blockchain Technology. In: Gui, G., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 301. Springer, Cham. https://doi.org/10.1007/978-3-030-36402-1_23
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DOI: https://doi.org/10.1007/978-3-030-36402-1_23
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