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Description: Legumes stored under adverse environmental condition have a tendency to develop a hard-to-cook (HTC) defect, which extends the cooking time of beans and lowers their nutritive value. A rapid inspection tool for pre-screening seeds from different locations within a storage structure could help identify and discard the HTC seeds prior to processing. The objective of this study is to investigate potential of a short wave near infrared (SWIR) hyperspectral imaging system for rapid and non-destructive identification of HTC beans. For this purpose selected white beans grown in Manitoba were used in this study. The HTC phenomenon was artificially induced by storing seeds in a desiccator under simulated condition of high temperature and high relative humidity. The HTC and control (i.e. easy-to-cook (ETC)) seeds were scanned with push-broom hyperspectral imaging prior to cooking. Hardness of seeds and optimal cooking time were estimated using a texture analyzer and boiling of seeds in water for specified periods of time, respectively. These reference values were used for developing discrimination models based on spectral and spatial data extracted from hyperspectral images of beans. Preliminary results show that HTC seeds with similar visual appearance to the ETC seeds had different chemical composition due to the complex biochemical changes that occur during storage.

Keywords: beans, hard-to-cook, hyperspectral imaging, discrimination, quality
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Date: 2017-08-07
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Conference name: CSBE/SCGAB 2017 Annual Conference, Canad Inns Polo Park, Winnipeg, Manitoba, 6-10 August 2017.
Session name: Poster Session

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Type: Text.Article
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Publication type: Technical conference
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Coverage: Canada
Language 1: en
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Rights: Canadian Society for Bioengineering
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