Changyeun Mo1, Giyoung Kim1, Moon S Kim2, Jongguk Lim1, Hyunjeong Cho3, Jinyoung Yang Barnaby4, Byoung-Kwan Cho5. 1. National Institute of Agricultural Sciences, Rural Development Administration, Jeonju-si, Jeollabuk-do, Republic of Korea. 2. Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, US Department of Agriculture, Beltsville, MD, USA. 3. Experiment & Research Institute, National Agricultural Products Quality Management Service, Gimcheon-si, Gyeongsangbuk-do, Republic of Korea. 4. Dale Bumpers National Rice Research Center, Agricultural Research Service, US Department of Agriculture, Stuttgart, AR, USA. 5. Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Yuseong-gu, Daejeon, Republic of Korea.
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.
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.