Detecting moisture loss of carrot samples during storage by hyperspectral imaging system
2009
Firtha, F.
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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