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Author: search.filters.author.Leekul, P.Subject: search.filters.subject.fruit classification

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    A sensor for fruit classification using doppler radar
    (2018-11-09)
    Leekul, P.
    ;
    Krairiksh, M.
    This paper presents a microwave sensor that can detect defected fruits. In this work, mangosteen is used as an example. Translucent is detected by measuring Doppler frequency as mangosteen is rotated. From the simulated scattered waves at different directions around the fruits, the different in scattered wave results in Doppler signal from the defected fruit. The different D.C. voltage from the mixer identified whether there is translucent for the whole fruit. This cost effective sensor is a good candidate for fruit classification.
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    Application of the natural frequency estimation technique for mangosteen classification
    (2014-12-18)
    Leekul, P.
    ;
    Krairiksh, M.
    ;
    Sarkar, Tapan K.
    The problem of identifying unripe fruits using a non-destructive evaluation methodology is of great interest. In this paper the natural frequency estimation methodology described by the singularity expansion method (SEM) is used to evaluate the state of maturity of the mangosteen fruit using a non-destructive classification technique. The methodology is based on a RADAR identification technique based on the scattered field data is used to accomplish this goal. The classification is carried out using the SEM poles computed using the Cauchy method using the scattered field data for a mangosteen as it matures. Then, a pole library is constructed and is used in a classification scheme.