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Author: search.filters.author.Leekul, PrapanSubject: search.filters.subject.microwave sensor

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    A sensor for continuous fruit classification using Rician k-factor
    (2018-07-02)
    Leekul, Prapan
    ;
    Krairiksh, Monai
    The quality control in fruit industry is more and more demanded. For thick-peel fruit like durian, the UHF and microwave frequency bands are suitable. For a large number of fruits to be classified, a continuous process is desirable. The system using Rician k-factor has been analyzed and found to be feasible. This paper presents design and experimental results that describe the feature of a sensor system for fruit classification in a continuous process. The results show that the Rician k-factors from a single frequency-monostatic and wideband-bistatic measurements can be used as indicators for classifying maturity stage of durian fruits.
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    Microwave sensor for tangerine classification based on coupled-patch antennas
    (2016-08-02)
    Leekul, Prapan
    ;
    Chivapreecha, Sorawat
    ;
    Krairiksh, Monai
    This paper deals with a microwave sensor for classifying tangerines by flavour using coupled-patch antennas. The operating frequency of the antennas is 2.45 GHz. The sensor determines the flavour of each tangerine by measuring the magnitudes of coupled signals of the antennas with the tangerine fruit at the centre. The sorting is carried out using an artificial neural network implemented on a field programmable gate array. The classification performance of the sensor is 95% accurate, so it has potential for use in sorting tangerines by flavour. In addition, the system uncertainty is analysed to determine optimal operating conditions.