X-ray Imaging of Stored Dates to Detect Infestation by Saw-Toothed Beetles

Nawal Al-Mezeini, Annamalai Manickavasagan, Rashid Al-Yahyai, Ali Khalfan Al-Wahaibi, Ali Ahmed Al-Raeesi, Lazhar Khriji

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The objective of this study was to investigate the capability of X-ray imaging in detecting internal infestations caused by the saw-toothed beetle (Oryzaephilus surinamensis L.) in stored dates. Un-infested and infested dates were x-rayed for different life stages (egg, larvae, pupae, and adult) of O. surinamensis. An algorithm was developed to extract 44 features from the X-ray images. Linear discriminant analysis (LDA) was used to discriminate the un-infested and infested dates using extracted features. Overall accuracy of X-ray imaging system was 80% for un-infested and beetle-infested dates. X-ray imaging system yielded around 97% accuracy in detecting internal infestation of dates with an adult beetle while using a pairwise classification method. Further studies are required to investigate the effects of moisture content and hardness of dates in the discrimination between the un-infested and infested dates.

Original languageEnglish
Pages (from-to)42-56
Number of pages15
JournalInternational Journal of Fruit Science
Volume16
Issue number1
DOIs
Publication statusPublished - Jan 2 2016

Fingerprint

dates (fruit)
beetle
X-radiation
image analysis
Coleoptera
Oryzaephilus surinamensis
pupa
discriminant analysis
hardness
pupae
moisture content
egg
larva
water content
larvae
extracts
methodology

Keywords

  • Infestation
  • insect detection
  • Oryzaephilus surinamensis
  • stored dates
  • stored products

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Plant Science
  • Ecology
  • Horticulture

Cite this

X-ray Imaging of Stored Dates to Detect Infestation by Saw-Toothed Beetles. / Al-Mezeini, Nawal; Manickavasagan, Annamalai; Al-Yahyai, Rashid; Al-Wahaibi, Ali Khalfan; Al-Raeesi, Ali Ahmed; Khriji, Lazhar.

In: International Journal of Fruit Science, Vol. 16, No. 1, 02.01.2016, p. 42-56.

Research output: Contribution to journalArticle

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