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Digital Signal Analysis of Guava Impact Inspection

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  Paper number  026070,  2002 ASAE Annual Meeting . (doi: 10.13031/2013.10942) @2002
Authors:   M-H Yen, Y-N Wan
Keywords:   Guava fruit, Impact force, Nondestructive Quality inspection, Spectrum analysis, Discriminate analysis

By using an impact pendulum, this study presents an efficient nondestructive guava fruit quality inspection method that contains high sensitivity classification indices. The impact parameters were measured based on the time, frequency, and real and imaginary part (Freal and Fimag) spectrums respectively, and reflected fruit quality variation. Stepwise analysis was also performed to screen the impact parameters, create combinations of multiple discriminate parameters. Doing so allows us to precisely use storage time to gauge fruit maturity. Analytic results indicate that the precision of maturity discrimination of appropriate multiple parameters combination was 10% more than that of single parameter. According to the combinations of parameters of TA ( time and amplitude domains) and AI ( amplitude and Fimag domains), the average classification precisions was much higher, at 80% and 82%, respectively.

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