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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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A reflectometer using antenna mixers
(2016-03-07)
Inrun, R.
;
Vichianchai, R.
;
Leekul, P.
;
Kittiyanpunya, C.
;
Krairiksh, M.
This paper presents a sensor for monitoring moisture content of paper. The reflection coefficient of paper at various moisture contents are measured and used for determining humidity of paper. The resultant IF output of 50 MHz from the reflectometer operating at the frequency of 2.40 GHz and 2.45 GHz shows an obvious difference in reflection coefficient for dry and wet paper depicting the feasibility to design a moisture content sensor.
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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.
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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.

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