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Journal article

Multispectral imaging - a new tool in seed quality assessment?

From

Aarhus University1

Department of Applied Mathematics and Computer Science, Technical University of Denmark2

Visual Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark3

Multispectral imaging is a new technology that is being deployed to assess seed quality parameters. Examples of applications in the detection and identification of fungi on seeds are presented, together with an example of the technology used for maturity determination in sugar beet seed. Results from multispectral imaging are compared with reference methods, and a high correlation is found.

Applications of the technique for varietal discrimination and insect damage are also presented. There is a need for non-destructive, reliable and fast techniques, and it is concluded that multispectral imaging has potential for seed quality assessment, in particular for those components associated with surface structure and chemical composition, seed colour, morphology and size.

Language: English
Publisher: Cambridge University Press
Year: 2018
Pages: 222-228
ISSN: 14752735 and 09602585
Types: Journal article
DOI: 10.1017/S0960258518000235
ORCIDs: Carstensen, Jens Michael , 0000-0003-4277-0196 , 0000-0001-8425-4902 and 0000-0003-3133-2350

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