Detecting moisture loss of carrot samples during storage by hyperspectral imaging system

Firtha, F. (2009) Detecting moisture loss of carrot samples during storage by hyperspectral imaging system. Acta Alimentaria, 38 (1). pp. 55-66. ISSN 0139-3006

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Abstract

Moisture-content is one of the most significant properties to determine quality of carrot during storage. The optical measurement methods of moisture content promise non-destructive, non-contact and fast solution for quality control, for monitoring quality changes during storage and also for real-time classification tasks.The high absorption coefficient of water makes NIR analysers a commonly used tool for accurate moisture analysis. Hyperspectral system is able to detect the spatial distribution of reflectance spectrum as well. In case of finding correlation between the moisture-content of carrot and the reflectance spectral data, a hyperspectral system would be suitable for testing quality.Experiments were made to investigate spectral changes of different cultivars and different tissues of carrot stored under different conditions. Moisture-decrease of pieces and also the spectral data of carrot slices were recorded. Statistical analysis of the data has shown the optimal intensity function to describe moisture-content. Eliminating homogeneous spectral changes caused by destructed tissues, only a narrow interval of NIR range was sensitive to the moisture-decrease of xylem tissues.The equipment and the measurement procedure were able to identify carrot tissues and detect their changes during drying. For non-destructive applications of the system, further experiments are needed to inspect the behaviour of rhizodermis.

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