Near infrared (NIR) hyperspectral imaging at the service of seed quality and safety control


  • Vermeulen, P. , Dardenne, P. , Baeten, V. & Fernández Pierna, J.A. (2009). Near infrared (NIR) hyperspectral imaging at the service of seed quality and safety control. Poster in: International workshop on multivariate image analysis, Valencia - Spain, 28-29 September 2009.
Type Poster
Year 2009
Title Near infrared (NIR) hyperspectral imaging at the service of seed quality and safety control
Event name International workshop on multivariate image analysis
Event location Valencia - Spain
Label U15-1461
Recnumber 628
Event date 28-29 September 2009
Endnote Keywords single seed analysis|NIR hyperspectral imaging|
Abstract The quality of a seed can be affected by numerous factors, among others infestation by insects, water stress or presence of botanical contaminants. In the food sector, certain criteria of quality are visual as the specific purity, the shape, the colour or the absence of exterior damages. Other criteria can be determined only by analyzing the internal part of the seed as the damages by larvae, the pollution by some toxins (mycotoxines), etc ? In the seed sector, certain criteria are very important as the purity of variety (no GMO seeds) and seed germination. Since 2000, the Walloon Agricultural Research Centre (CRA-W) has acquired expertise in the development of analytical methods based on NIR hyperspectral imaging for particles and single seed analysis1-3. The instrument used is a MatrixNIR® Chemical Imaging System (Malvern instruments Ltd) recording sequential images with an InGaAs array detector (240x320 pixels) active in the 900-1700 nm range. A total of 76 800 spectra are acquired by area measured. This poster gives an overview of the research on seed analysis carried out by the CRA-W during the last years through several European projects and collaborations. All the different studies that have been performed until now allowed demonstrating the promising perspectives of the utilization of near infrared hyperspectral imaging for quality and safety control of cereals.
Fichier
Caption U15-1461-fernandez-2009.pdf
Lien http://mseg.webs.upv.es/MIA_Workshop/book_abstracts_IWMIA.pdf
Authors Vermeulen, P., Dardenne, P., Baeten, V., Fernández Pierna, J.A.

Team