A sensor for fruit classification using doppler radar

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dc.contributor.authorLeekul, P.
dc.contributor.authorKrairiksh, M.
dc.date.accessioned2026-08-06T10:22:00Z
dc.date.available2026-08-06T10:22:00Z
dc.date.issued2018-11-09
dc.description.abstractThis 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.
dc.identifier.citation2018 IEEE Conference on Antenna Measurements and Applications Cama 2018, 2018
dc.identifier.doi10.1109/CAMA.2018.8530566
dc.identifier.other2-s2.0-85058334948
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/9161
dc.source2018 IEEE Conference on Antenna Measurements and Applications Cama 2018
dc.subjectDoppler radar
dc.subjectfruit classification
dc.subjectmangosteen
dc.subjectmicrowave sensor
dc.titleA sensor for fruit classification using doppler radar
dc.typeConference Paper

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