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A sensor for fruit classification using doppler radar

Author(s)
Leekul, P.
Krairiksh, M.
Date Issued
November 9, 2018
Type
Conference Paper
DOI
10.1109/CAMA.2018.8530566
Abstract
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.
Citation
2018 IEEE Conference on Antenna Measurements and Applications Cama 2018, 2018
Subjects

Doppler radar

fruit classification

mangosteen

microwave sensor

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