Detection of cuticle defects on cherry tomatoes using hyperspectral fluorescence imagery |
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| Institution: | 1. Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 220 Gung-dong, Yuseong-gu, Daejeon 305-764, Republic of Korea;2. USDA-ARS Environmental Microbial and Food Safety Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Beltsville, MD 20705, USA;3. Department of Integrated Plant Science, Chung-Ang University, Anseong, Gyeonggi-do 456-756, Republic of Korea;4. School of Biotechnology, Yeungnam University, Gyeongsan 712-749, Republic of Korea;5. Department of Plant Industry Engineering, Sangmyung University, San 98-20, Anseo-dong, Cheonan 330-720, Republic of Korea;1. Institute of Civil and Hydraulic Engineering, Ningxia University, Yinchuan, Ningxia 750021, China;2. School of Agriculture, Ningxia University, Yinchuan, Ningxia 750021, China;1. National Institute of Agricultural Science, Rural Development Administration, Jeonju 54875, Republic of Korea;2. Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, USDA, 10300 Baltimore Avenue, Beltsville, MD 20705, USA;3. College of Biosystems Engineering & Food Science, Zhejiang University, Hangzhou 310029, PR China;4. Department of Bioindustrial Machinery Engineering, Chungnam National University, Daejeon 34134, Republic of Korea;1. NIAB EMR, New Road, East Malling, ME19 6BJ, UK;2. University of Nottingham, Sutton Bonington, LE12 5RD, UK;3. Agriculture and Horticulture Development Board (AHDB), New Road, East Malling, ME19 6BJ, UK;1. College of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, PR China;2. Key Laboratory of Equipment and Informatization in Environment Controlled Agriculture, Ministry of Agriculture, PR China;1. Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 305-764, South Korea;2. Environmental Microbial and Food Safety Laboratory, USDA-ARS, 10300 Baltimore Ave., Beltsville, MD 20705, USA |
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| Abstract: | Cherry tomatoes are one of the major vegetables consumed in the fresh-cut market. However, the quality evaluation process, which is dependent on simple size- or color-sorting techniques, is inadequate to meet increased consumer demands for high quality and safety. Among various quality evaluations, detection of cracking defects in cherry tomatoes is a critical process since this type of damage can harbor pathogenic microbes that may have detrimental consequences on consumer health. In this study, a multi-spectral fluorescence imaging technique has been presented as a diagnostic tool for non-destructive detection of defective cherry tomatoes. Fluorescence intensity in the area of cracked cuticle was significantly higher in the blue-green spectral region than that of the sound surfaces, suggesting the multi-spectral fluorescence imaging technique as an effective classification tool for detecting cracking defects on cherry tomatoes. Simple ANOVA classification analysis and principal component analysis were employed to investigate optimal fluorescence wavebands. The results illustrate that a multi-spectral fluorescence image in linear combination with a pair of selected wavebands based on the results of ANOVA analysis was able to detect defective cherry tomatoes with >99% accuracy. The detection algorithm investigated in this study is expected to be used to develop on-site and real-time multi-spectral systems for quality evaluation of cherry tomatoes in postharvest processing plants. |
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