Detection of underdeveloped hazelnuts from fully developed nuts by impact acoustics
Date
2006Source Title
American Society of Agricultural and Biological Engineers. Transactions
Print ISSN
2151-0032
Electronic ISSN
2151-0040
Publisher
American Society of Agricultural and Biological Engineers
Volume
49
Issue
6
Pages
1971 - 1976
Language
English
Type
ArticleItem Usage Stats
199
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Abstract
Shell-to-kernel weight ratio is a vital measurement of quality in hazelnuts as it helps to identify nuts that have underdeveloped kernels. Nuts containing underdeveloped kernels may contain mycotoxin-producing molds, which are linked to cancer and are heavily regulated in international trade. A prototype system was set up to detect underdeveloped hazelnuts by dropping them onto a steel plate and recording the acoustic signal that was generated when a kernel hit the plate. A feature vector comprising line spectral frequencies and time-domain maxima that describes both the time and frequency nature of the impact sound was extracted from each sound signal and used to classify each nut by a support-vector machine. Experimental studies demonstrated accuracies as high as 97% in classifying hazelnuts with underdeveloped kernels.