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Intelligent Sharing Platform of Agricultural Online Education Resources Based on Blockchain Technology

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e-Learning, e-Education, and Online Training (eLEOT 2022)

Abstract

The conventional agricultural online educational resources intelligent sharing platform has the problem of unclear educational resources storage architecture, resulting in poor response performance of the sharing platform. Therefore, an agricultural online educational resources intelligent sharing platform based on blockchain technology is designed. Hardware part: select DSP as the processor, and then generate serial port, interrupt, PWM wave and other functions to the external port according to the instructions; Software part: build an agricultural online education database, fully tap the potential of information-based teaching, optimize the storage architecture of educational resources with blockchain technology, use smart contracts to encode and operate data, set permissions according to the type of users, and design the software data migration function of intelligent sharing platform. Experimental results: the average response time between the agricultural online educational resources intelligent sharing platform and the other two sharing platforms is 103.37 ms, 138.51 ms and 140.64 ms, indicating that the performance of the agricultural online educational resources intelligent sharing platform integrated with blockchain technology is more perfect.

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Correspondence to Song Wang .

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wang, S., Xu, C. (2022). Intelligent Sharing Platform of Agricultural Online Education Resources Based on Blockchain Technology. In: Fu, W., Sun, G. (eds) e-Learning, e-Education, and Online Training. eLEOT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 454. Springer, Cham. https://doi.org/10.1007/978-3-031-21164-5_5

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  • DOI: https://doi.org/10.1007/978-3-031-21164-5_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21163-8

  • Online ISBN: 978-3-031-21164-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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