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- W3217388857 abstract "Sound analysis is one of the least destructive testing methods that have been developed for the determination of fruit quality. Therefore, in this research, a system was developed for analyzing the acoustic impulse response to determine the presence of carob moths in pomegranate fruit. For this purpose, acoustic signals generated from 100 pomegranate fruits were recorded (50 healthy and 50 infected). In order to record and extract the acoustic signals' characteristics (non-destructive test), a plastic pendulum hit the samples at three speeds (0.3, 0.9, and 1.5 m/s) and a microphone was located at three positions concerning impactor (0, 90, and 180°). For data classification, Fisher's linear discriminant classifier combined with three different feature selection methods was used. According to the statistical analysis, a speed of 0.9 m/s was selected as the optimum impact velocity. According to the classification results, the best features were natural frequency, spectral entropy, and zero-crossing, which had the least classification error. The application of these three features resulted in a classification accuracy of 97.55%." @default.
- W3217388857 created "2021-12-06" @default.
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- W3217388857 date "2022-01-01" @default.
- W3217388857 modified "2023-09-25" @default.
- W3217388857 title "Designing, manufacturing, and evaluating the diagnostic system of carob moth in pomegranate fruit using digital signal processing" @default.
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- W3217388857 doi "https://doi.org/10.1016/j.compag.2021.106564" @default.
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