Detection of underdeveloped hazelnuts from fully developed nuts by impact acoustics
TRANSACTIONS OF THE ASABE, cilt.49, sa.6, ss.1971-1976, 2006 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 49 Sayı: 6
- Basım Tarihi: 2006
- Dergi Adı: TRANSACTIONS OF THE ASABE
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.1971-1976
- Orta Doğu Teknik Üniversitesi Adresli: Hayır
Özet
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 interviational 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.