7 research outputs found

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

    Get PDF
    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

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

    Get PDF
    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

    Multiple Parameters for Prediction of Translucent Flesh in Mangosteens

    Get PDF
    Translucent flesh in mangosteen is a main defect that obstructs the exporting growth and prompts the need for non-destructive inspecting technique. The physical and chemical parameters of 257 mangosteen samples were determined as a ratio of maximum diameter and minimum diameter (RMM), a ratio of calyx weight and fruit weight (CWW), Specific gravity (SC), averaged pericarp moisture content (AMC), and differential pericarp moisture content (DMC). Discriminant analyses were performed on the parameters to evaluate the accuracy of translucency classification validated by leave-one-out cross validation. The overall accuracy of classification was achieved using all parameters presenting 78.9% compared with 72% when using only SC for samples without yellow gumming and hardening pericarp disorder. The pericarp hardening samples and yellow gumming samples were found to decrease the accuracy of the analysis. The results indicated that the multiple parameters that objectively imitated the subjective indices employed by manual sorter could be applicable to evaluate the translucent flesh

    Proceedings...

    Get PDF
    Anais e resumos dos trabalhos apresentados na II SIGEE.bitstream/item/152904/1/Second-International-Symposium-II-SIGEE.pdfCoordenador: Roberto Giolo de Almeida. Organizadores: Patrícia Perondi Anchão Oliveira; Maurício Saito; Cleber Oliveira Soares; Lucas Galvan; Lucimara Chiari; Fabiana Villa Alves; Davi José Bungenstab

    Effect of curing conditions and harvesting stage of maturity on Ethiopian onion bulb drying properties

    Get PDF
    The study was conducted to investigate the impact of curing conditions and harvesting stageson the drying quality of onion bulbs. The onion bulbs (Bombay Red cultivar) were harvested at three harvesting stages (early, optimum, and late maturity) and cured at three different temperatures (30, 40 and 50 oC) and relative humidity (30, 50 and 70%). The results revealed that curing temperature, RH, and maturity stage had significant effects on all measuredattributesexcept total soluble solids
    corecore