NDLI: A Noninvasive Method to Identify Larvae in Apples Based on Wavelets

Content Provider	Springer Nature Link
Author	Godinez Garcia, Francisco J. Celis Porras, Jesus Guerrero Rivera, Ruben Gamero Inda, Eduardo Valle Cervantes, Sergio Gallegos Infante, Jose Alberto Luna Barcena, Gabriel Hann Schlam, Federico Rocha Fuentes, Manuel
Copyright Year	2010
Abstract	Foodstuffs often experience great damage as a result of various forms of infestation or plague. A very common plague is a form of larval infestation that attacks several fruits, including apples. A novel method to identify larval infestations in apples is introduced. This noninvasive method is based on the use of ultrasonic waves, wavelets, and statistical analysis. A wavelet algorithm was preferred over other techniques because it allows a better description of the ultrasonic signal received from the fruit. A total of 998 red delicious apples were sampled, of which, 291 apples were infested by Cydia pomonella. All samples were scanned using ultrasonic waves, and reflecting signals were analyzed with wavelets to determine whether the fruit was intact or infested by larva. The experiments were validated using normality tests and analysis of variance and corroborated by comparing the results with the physical evidence in the specimens. The results show that the signal is attenuated at the center of the apple, which means that the density inside the apple changes as a result of the presence of larva. In addition, the proposed method effectively detected (p < 0.01) the presence of larva within the fruit in real time.
Starting Page	568
Ending Page	575
Page Count	8
File Format	PDF
ISSN	19355130
Journal	Food and Bioprocess Technology
Volume Number	5
Issue Number	2
e-ISSN	19355149
Language	English
Publisher	Springer-Verlag
Publisher Date	2010-03-21
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Apple Cydia Pomonella Ultrasonic Wavelets Larvae Chemistry/Food Science Food Science Biotechnology Agriculture
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Safety, Risk, Reliability and Quality Food Science Process Chemistry and Technology

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