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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References
Zhao, K., Xing, Y.: Overview of Internet of Things security driven by block chain technology. Inf. Netw. Secur. 12(5), 1111–1116 (2017)
Yang, X., Li, X., Wu, H., et al.: Application model and realistic challenges of block chain technology in education. Mod. Distance Educ. Res. 12(2), 2134–2145 (2017)
Yang, X., Li, X., Wu, H., et al.: Application model and realistic challenges of block chain technology in education. Mod. Distance Educ. Res. 23(2), 2134–2145 (2017)
An, R., He, D., Zhang, Y., et al.: Design and implementation of anti-counterfeiting system based on block chain technology. J. Crypt. 4(2), 1299–1308 (2017)
Zhang, C., Zhang, X., Wang, Z., et al.: Traceable research progress on quality and safety of agricultural products. China Agric. Sci. Technol. Rep. 19(1), 3218–3228 (2017)
Li, T., Zhu, W.: Study on supervision of fresh agricultural products quality and safety—taking pesticide residues in vegetables as an example. Jiangsu Soc. Sci. 23(2), 2184–2191 (2017)
Jinfen, Zheng, B., Qian, Y.: Scientific and technological innovation and breakthrough direction of agricultural product quality and safety in China. Agric. Prod. Qual. Saf. 23(3), 2113–2118 (2017)
Guo, Z., Xu, B.: Building a three-dimensional model of a city based on social media data. Geospatial Inf. 15(10), 1246–1248 (2017)
Wei, X., Yu, Z., Tian, C., et al.: Click-through rate prediction model of internet advertising based on big data platform. Comput. Eng. Design 38(9), 2504–2508 (2017)
Li, W., Yang, W., Zhao, Y., et al.: Prediction model for mechanical properties of hot rolled strip based on large data and metallurgical mechanism. J. Iron Steel Res. 12(4), 1653–2363 (2018)
Wang, X., Hong, W.N.: Dynamic forecasting model of export product sales based on large data of controllable correlation of cross-border e-commerce. Comput. Appl. 37(4), 1038–1043 (2017)
Zhou, L., Fan, H., Pan, J.: Research on knowledge service framework of big data based on knowledge fusion process. Libr. Sci. Res. 23(21), 2353–2359 (2017)
Yang, Y.: Improvement of massive multimedia information filtering technology in big data environment. J. of Xi’an Polytech. Univ. 04, 569–575 (2017)
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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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