Chinese Journal of Liquid Crystals and Displays, Volume. 34, Issue 12, 1202(2019)

Accurate traceability system of crab based on improved deep residual network

SHI Guo-zhong1,2、*, CHEN Ming1,2, and ZHANG Chong-yang1,2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less

    Aiming at the problems of current commercial river crab quality safety, hard to distinguish between real and false Yangcheng Lake hairy crabs, and too large feature dimension of deep residual network extraction, a precise source tracing system of river crab based on improved deep residual network is proposed. The system consists of four parts: breed, detection, sale and traceability. In breed, detection and sale parts, the data of crab breed, detection and sale are stored in traceability database. The traceability part identifies whether there is traceable river in traceability database by identifying crab based on improved deep residual network. According to the result of identification, the data of crab breeding, testing and marketing are output. Finally, the precise traceability of each commercial crab from consumer to farm is realized. The improved crab identification technology of the deep residual network can reduced the extracted crab shell feature vector from 2 048 to 156 dimensions, the recognition time is reduced by 92%, and the recognition accuracy is 92.1%.

    Tools

    Get Citation

    Copy Citation Text

    SHI Guo-zhong, CHEN Ming, ZHANG Chong-yang. Accurate traceability system of crab based on improved deep residual network[J]. Chinese Journal of Liquid Crystals and Displays, 2019, 34(12): 1202

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Jul. 30, 2019

    Accepted: --

    Published Online: Jan. 9, 2020

    The Author Email: SHI Guo-zhong (shiguozhong0729@yeah.net)

    DOI:10.3788/yjyxs20193412.1202

    Topics