Fluorescence hyperspectral imaging technique for foreign substance detection on fresh-cut lettuce.

• Autores: Changyeun Mo, Giyoung Kim, Moon S. Kim, Jongguk Lim, Hyunjeong Cho, Jinyoung Yang Barnaby, Byoung-Kwan Cho
• Localización: Journal of the science of food and agriculture, ISSN 0022-5142, Vol. 97, Nº 12, 2017, págs. 3985-3993
• Idioma: inglés
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• Resumen

  • 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.; © 2017 Society of Chemical Industry.