Classification of agricultural kernels using impact acoustic signal processing
Author
Onaran, İbrahim
Advisor
Çetin, A. Enis
Date
2006Publisher
Bilkent University
Language
English
Type
ThesisItem Usage Stats
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Show full item recordAbstract
The quality is the main factor that directly affects the price for many agricultural
produces. The quality depends on different properties of the produce. Most
important property is associated with health of consumers. Other properties
mostly depend on the type of concerned vegetable. For instance, emptiness is important
for hazelnuts while openness is crucial for the pistachio nuts. Therefore,
the agricultural produces should be separated according to their quality to maintain
the consumers health and increase the price of the produce in international
trades. Current approaches are mostly based on invasive chemical analysis of
some selected food items or sorting food items according to their color. Although
chemical analysis gives the most accurate results, it is impossible to analyze large
quantities of food items.
The impact sound signal processing can be used to classify these produces
according to their quality. These methods are inexpensive, noninvasive and most
of all they can be applied in real-time to process large amount of food. Several
signal processing methods for extracting impact sound features are proposed
to classify the produces according to their quality. These methods are including
time and frequency domain methods. Several time and frequency domain
methods including Weibull parameters, maximum points and variances in time
windows, DFT (Discrete Fourier Transform) coefficients around the maximum
spectral points etc. are used to extract the features from the impact sound. In
this study, we used hazelnut and wheat kernel impact sounds. The success rate
over 90% is achieved for all types produces.
Keywords
Impact soundPistachio nuts
Hazelnuts
Wheat kernels
Feature extraction
Classification
Food quality
Aflatoxin
Mel-Cepstrum
Principle Component Analysis (PCA)
Support Vector Machines
Acoustics