Fluorescence hyperspectral imaging technique for foreign substance detection on fresh‐cut lettuce. (28th March 2017)

• Record Type: Journal Article
• Authors: Mo, Changyeun; Kim, Giyoung; Kim, Moon S; Lim, Jongguk; Cho, Hyunjeong; Barnaby, Jinyoung Yang; Cho, Byoung‐Kwan
• Is Part Of: Journal of the science of food and agriculture. Volume 97:Number 12(2017)
• Page Start: 3985
• Page End: 3993
• Publication Date: 2017-03-28
• Subjects: fluorescence -- hyperspectral imaging -- foreign substance detection -- fresh‐cut lettuce -- multi‐spectral imaging; Food -- Periodicals; Agriculture -- Periodicals; 664
• DOI: 10.1002/jsfa.8262
• Languages: English
• ISSNs: 0022-5142

Abstract

Abstract: 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