Utilizing X-ray radiography for non-destructive assessment of paddy rice grain quality traits
Fraunhofer IIS
Partner institutions
Fraunhofer IIS
Erlangen, Germany
Non-destructive X-ray imaging of paddy rice grain quality traits calibrated with Vibe QM3.
How Vibe analyzers were used
A proof-of-concept workflow that uses single 2D X-ray radiographs of whole paddy rice grains to non-destructively infer chaffiness, chalky rice kernel percentage (CRK%), and head rice recovery percentage (HRR%).
Study overview
This study evaluates whether 2D X-ray imaging plus computer-vision analytics can approximate key physical traits used in rice breeding and quality evaluation: (1) chaffiness, (2) chalky rice kernel percentage (CRK%), and (3) head rice recovery percentage (HRR%). The authors show that image segmentation and PCA-based prediction models can infer these traits from single X-ray projections of individual grains, supporting faster and non-destructive phenotyping workflows.
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