The translucent and yellow gummy latex of mangosteen by using autoregressive coefficient method

A nondestructive measurement to predict an internal translucent disorder and yellow gummy latex in mangosteen fruit has proposed by using Vibration Frequency base on Strain gage Sensor (VFSS). This measurement were used vibrate with frequency  0 – 50 Hz The VFSS of 100 mangosteen samples were obtained an evaluation of various existed VFSS signal features base on time and frequency domains. From the experimental results, Auto-regressive (AR) coefficient was suggested to use as a feature for the VFSS measurement. We will be obtained the classification accuracy on good sample and device the sample into two groups.   Keywords: Vibration Fruit base on Strain gage Sensor (VFSS), Auto-regressive (AR) coefficient, feature extraction, yellow gummy latex and translucent

The translucent and yellow gummy latex of mangosteen by using the VFSS Measurement

The vibration frequency base on strain gage sensor (VFSS) has proposed to predict an internal translucent and yellow gummy latex in mangosteen fruit, this measurement were used nondestructive method by vibrate on 25,30,35 and 40Hz. The VFSS were obtained an evaluation of feature extraction base on time and frequency domain, which can classify by two scatter plot. From the experimental results, the first day (day1), WAMP and RMS is the best feature comparing with the other feature, there have percentage accuracy higher than the other day. From this result, this method can obtain the high classification accuracy. Keywords: Vibration Fruit base on Strain gage Sensor (VFSS), feature extraction, yellow gummy latex and translucent

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Thesis (Ph.D. (Electrical Engineering))--Prince of Songkla University, 201