Phenotyping Fusarium head blight through seed morphology characteristics using RGB imaging
Swedish University of Agricultural Sciences
Partner institutions
Swedish University of Agricultural Sciences
Uppsala, Sweden
Seed morphology and FHB phenotyping; RGB imaging studies with Vibe.
How Vibe analyzers were used
Compares two cost-effective RGB seed imaging workflows (SmartGrain vs. the automated Cgrain Value) to predict Fusarium head blight severity from wheat seed morphology and color traits.
Study overview
The study evaluates image-analysis approaches for screening Fusarium head blight (FHB) on winter wheat seeds by extracting 16 morphological and color traits from RGB images. Using 432 greenhouse-inoculated genotypes, prediction performance from SmartGrain and Cgrain Value is compared against visual disease scores, with combined features improving accuracy.
Topics and keywords
Bibliographic details
Year: 2022
Publication: Frontiers in Plant Science
DOI: 10.3389/fpls.2022.1010249
Institutions: Swedish University of Agricultural Sciences
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