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    A sorting dried squid system for fisher coastal basin prachuap khiri khan by Deep Learning

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    Date
    2018
    Author
    Siriruang Phatchuay
    Arthit Yooyen
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    Abstract
    The purpose of this study was to develop a prototype of an octopus grade sorting system to help increase the value of dried squid sales to Prachuap Khiri Khan coastal fishermen. By working principle, will design and develop the system by language Open CV in Microsoft Visual Studio Express 2013 . By the behavior of the concept from the in deep learning algorithm The developed system will use 500 images for example. There are 2 types of squid that are tested, And there are 3 types of squid, ie grade A grade B and grade C, with a sorting dried squid system for fisher coastal basin an accuracy of 85 Percent.
    URI
    http://repository.rmutr.ac.th/123456789/1228
    http://localhost:8080/xmlui/handle/123456789/1228
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