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Author: search.filters.author.Krairiksh, M.Subject: search.filters.subject.microwave sensor

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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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    Analysis of a sensor for fruit classification using Rician k-factor in a continuous process
    (2017-01-12)
    Leekul, P.
    ;
    Krairiksh, M.
    This paper presents simulation results that describes feature of a sensor system in a continuous process. The Rician k-factors from a single frequency-monostatic and a wideband-bistatic measurements can be used as indicators for classifying maturity stage of durian fruits.
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    Microwave sensor for defected fruit classification
    (2016-03-07)
    Leekul, P.
    ;
    Chivapreecha, S.
    ;
    Krairiksh, M.
    This paper presents a microwave sensor operating at the frequency of 2.45 GHz that can detect defected fruits. In this work, orange is used as an example. Granulation of orange is detected by measuring mean and standard deviation of the magnitudes of S-parameters of the orange at different positions. From the simulated S-parameters of patch antennas surrounding the fruits, it was found that the reflected signal from the fruit and the coupled signal to the antenna oriented perpendicular to the fruits provide the obvious variation and can be used as indicators for justification. This cost effective sensor is a good candidate for fruit classification.