Spectral imaging for measuring biochemicals in plant material
The demand for high quality fruits and other plant material is increasing. New consumer demands involve taste, ripeness, and health-promoting compounds. These criteria are often related to the presence, absence and spatial distribution patterns of specific biochemical compounds in the food. This thesis deals with the role of spectral imaging for visualization and quantification of these biochemicals in plant material. I hope that it will contribute to the application of spectral imaging to sort plant products by their quality. Compared to traditional machine vision applications, with color cameras, or spectroscopic point measurements, without spatial information, spectral imaging is a new challenge in real-time sorting applications. Due to the additional complexity of the recording system, calibration of the system is much more complicated. Also the huge amount of data which comes from this system asks for methods like data reduction, and sophisticated analysis procedures. In this thesis several techniques for calibration, data-analysis, data-reduction, and measurement of the spatial distribution of compounds are described.
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| Format: | Doctoral thesis biblioteca |
| Language: | English |
| Subjects: | data analysis, food quality, fruits, image processing, imagery, plant analysis, plant composition, spatial distribution, spatial variation, spectral analysis, spectral data, afbeelden, beeldverwerking, gegevensanalyse, gewasanalyse, plantensamenstelling, ruimtelijke variatie, ruimtelijke verdeling, spectraalanalyse, spectrale gegevens, voedselkwaliteit, vruchten, |
| Online Access: | https://research.wur.nl/en/publications/spectral-imaging-for-measuring-biochemicals-in-plant-material |
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