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Fluorescence hyperspectral imaging technique for foreign substance detection on fresh‐cut lettuce
Author(s) -
Mo Changyeun,
Kim Giyoung,
Kim Moon S,
Lim Jongguk,
Cho Hyunjeong,
Barnaby Jinyoung Yang,
Cho ByoungKwan
Publication year - 2017
Publication title -
journal of the science of food and agriculture
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.782
H-Index - 142
eISSN - 1097-0010
pISSN - 0022-5142
DOI - 10.1002/jsfa.8262
Subject(s) - hyperspectral imaging , fluorescence , fluorescence lifetime imaging microscopy , remote sensing , pixel , spectral imaging , environmental science , artificial intelligence , computer science , geology , optics , physics
BACKGROUND Non‐destructive methods based on fluorescence hyperspectral imaging ( HSI ) techniques were developed to detect worms on fresh‐cut lettuce. The optimal wavebands for detecting the worms were investigated using the one‐way ANOVA and correlation analyses. RESULTS The worm detection imaging algorithms, RSI ‐I (492–626)/492 , provided a prediction accuracy of 99.0%. The fluorescence HSI techniques indicated that the spectral images with a pixel size of 1 × 1 mm had the best classification accuracy for worms. CONCLUSION The overall results demonstrate that fluorescence HSI techniques have the potential to detect worms on fresh‐cut lettuce. In the future, we will focus on developing a multi‐spectral imaging system to detect foreign substances such as worms, slugs and earthworms on fresh‐cut lettuce. © 2017 Society of Chemical Industry