On-line fresh-cut lettuce quality measurement system using hyperspectral imaging

Mo, Changyeun; Kim, Gi‐Young; Kim, Moon S.; Lim, Jongguk; Lee, Kangjin; Lee, Wang‐Hee; Cho, Byoung‐Kwan

doi:10.1016/j.biosystemseng.2017.01.005

Cited by 29 publications

(12 citation statements)

References 19 publications

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“…Oneway ANOVA was performed on all 70 wavebands in the 450-730 nm region to differentiate between the two groups. The F-value obtained via the ANOVA analysis for an SW and the ratio of two wavebands was used to select the optimal wavebands [22,30]. A larger F-value represents a more statistically significant mean separation between the two groups.…”

Section: Discussionmentioning

confidence: 99%

“…Hyperspectral fluorescence imaging is a sensitive optical technique that uses selected light excitation of a sample to induce light emissions from the sample at wavelengths different from the excitation light of 365 nm [6,22,26]. In studies targeting detection of bacterial biofilm, feces, organic residues, and insects in agricultural produce for food safety, non-destructive and non-contact fluorescence imaging using fluorescence regions from 480 to 560 nm and from 670 to 690 nm has been demonstrated to be an effective technique for rapid detection of contaminants [6,16,[26][27][28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

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Development of Fluorescence Imaging Technique to Detect Fresh-Cut Food Organic Residue on Processing Equipment Surface

Hwang

Seo

et al. 2021

Applied Sciences

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With increasing public demand for ready-to-eat fresh-cut food products, proper sanitation of food-processing equipment surfaces is essential to mitigate potential contamination of these products to ensure safe consumption. This study presents a sanitation monitoring technique using hyperspectral fluorescence images to detect fruit residues on food-processing equipment surfaces. An algorithm to detect residues on the surfaces of 2B-finished and #4-finished stainless-steel, both commonly used in food processing equipment, was developed. Honeydew, orange, apple, and watermelon were selected as representatives since they are mainly used as fresh-cut fruits. Hyperspectral fluorescence images were obtained for stainless steel sheets to which droplets of selected fruit juices at six concentrations were applied and allowed to dry. The most significant wavelengths for detecting juice at each concentration were selected through ANOVA analysis. Algorithms using a single waveband and using a ratio of two wavebands were developed for each sample and for all the samples combined. Results showed that detection accuracies were better for the samples with higher concentrations. The integrated algorithm had a detection accuracy of 100% and above 95%, respectively, for the original juice up to the 1:20 diluted samples and for the more dilute 1:50 to 1:100 samples, respectively. The results of this study establish that using hyperspectral imaging, even a small residual quantity that may exist on the surface of food processing equipment can be detected and that sanitation monitoring and management is possible.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of Fluorescence Imaging Technique to Detect Fresh-Cut Food Organic Residue on Processing Equipment Surface

Hwang

Seo

et al. 2021

Applied Sciences

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“…There were eight replicates per treatment for each cultivar at each measurement event. One-way analysis of variance (ANOVA; alpha = 0.05) was performed to analyze reflectance data of each waveband (Mo et al, 2017;Wang et al, 2019) between control cultivars, between toxintreated cultivars, and among measurement events for each toxin-treated cultivar. Fisher's least significant difference (LSD) test was used to determine differences among the three measurement events when ANOVA indicated significant differences.…”

Section: Discussionmentioning

confidence: 99%

Hyperspectral Spectroscopy to Detect Different Responses of Two Soybean (Glycine Max) Cultivars to Charcoal Rot (Macrophomina Phaseolina) Toxin

Al-Ahmadi

Subedi²,

Choudhary³

et al. 2021

Eng. Agríc.

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Previous studies have confirmed the potential of hyperspectral spectroscopy (HS) to detect charcoal rot toxin effect on soybean (Glycine max). However, there is no evidence that it can differentiate among difference responses to that effect. This research tested the potential of HS (900-2400 nm) to differentiate different responses to charcoal rot effect caused by the fungal pathogen Macrophomina phaseolina. Known susceptible 'Pharaoh' and resistant 'Spencer' cultivars of soybean seedlings at the V1 stage were tested, and HS reflectance was measured in each treatment at 0 h (just before toxin treatment), 24 h, and 36 h after toxin treatment. For both cultivars, reflectance generally decreased up to 10% over time for controls and increased for treated seedlings up to 22%. Pharaoh had significant increases in reflectance 24 and 36 h after treatment, while Spencer did not exhibit significant changes in reflectance over the 24 and 36-h periods. The ratio of Al-Ahmadi et al. (2018) was also evaluated. Spencer showed a higher ratio than Pharaoh. Based on our results, HS can be used to compare the relative resistance of soybean cultivars to charcoal rot and is a potential screening technique to classify soybean cultivars based on their resistance to charcoal rot toxin.

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“…Recently, Mo et al (2017b) developed a line-scanning hyperspectral imaging system for online detection of slugs and worms on fresh-cut lettuce. This system allowed to detect the two kinds of pests on both adaxial (upper) and abaxial (lower) surfaces of lettuce.…”

Section: Food Safety Inspectionmentioning

confidence: 99%

Hyperspectral imaging technology for quality and safety evaluation of horticultural products: A review and celebration of the past 20-year progress

Saeys

Kim

et al. 2020

Postharvest Biology and Technology

183

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In the past 20 years, hyperspectral imaging has been widely investigated as an emerging, promising technology for evaluating quality and safety of horticultural products. This technology has originated from remote sensing and joins the domains of machine vision and point spectroscopy to provide superior image segmentation for the detection of defects and contaminations, and to map the chemical composition. Thanks to the advancements in instrumentation and data analysis in the past two decades, hyperspectral imaging technology has evolved into a powerful nondestructive inspection tool and the scope of applications in postharvest quality and safety evaluation has expanded tremendously. In this article, different imaging modes (reflectance, transmittance, fluorescence and Raman) and their combinations, and the potential for real-time acquisition of hyperspectral images at industry relevant speeds are first discussed in terms of their advantages and disadvantages. Next reviewed are different data processing/analysis methods and associated steps from data pre-processing over the spectral and spatial domains to the actual model building and performance evaluation. An overview is then given of hyperspectral imaging applications for external quality and defect evaluation, internal quality and maturity assessment, and food safety detection of 2 horticultural products. Finally, a brief discussion is presented on the challenges and opportunities in future development and application of hyperspectral imaging technology in food quality and safety evaluation of horticultural products.

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On-line fresh-cut lettuce quality measurement system using hyperspectral imaging

Cited by 29 publications

References 19 publications

Development of Fluorescence Imaging Technique to Detect Fresh-Cut Food Organic Residue on Processing Equipment Surface

Development of Fluorescence Imaging Technique to Detect Fresh-Cut Food Organic Residue on Processing Equipment Surface

Hyperspectral Spectroscopy to Detect Different Responses of Two Soybean (Glycine Max) Cultivars to Charcoal Rot (Macrophomina Phaseolina) Toxin

Hyperspectral imaging technology for quality and safety evaluation of horticultural products: A review and celebration of the past 20-year progress

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