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Multispectral imaging – a new tool in seed quality assessment?

Published online by Cambridge University Press:  27 June 2018

Birte Boelt
Affiliation:
Department of Agroecology, Aarhus University, DK-4200 Slagelse, Denmark
Santosh Shrestha
Affiliation:
Department of Agroecology, Aarhus University, DK-4200 Slagelse, Denmark
Zahra Salimi
Affiliation:
Department of Agroecology, Aarhus University, DK-4200 Slagelse, Denmark
Johannes Ravn Jørgensen
Affiliation:
Department of Agroecology, Aarhus University, DK-4200 Slagelse, Denmark
Mogens Nicolaisen
Affiliation:
Department of Agroecology, Aarhus University, DK-4200 Slagelse, Denmark
Jens Michael Carstensen
Affiliation:
Videometer A/S, DK-2970 Hørsholm, Denmark Technical University of Denmark, DK-2800 Lyngby, Denmark
Corresponding
E-mail address:

Abstract

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.

Type
Review Paper
Copyright
Copyright © Cambridge University Press 2018 

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