2024
DOI: 10.21203/rs.3.rs-4647502/v1
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Identifying Defects and Varieties of Malting Barley Kernels

Michał Kozłowski,
Piotr M. Szczypiński,
Jacek Reiner
et al.

Abstract: This study introduces a comprehensive approach for classifying individual malting barley kernels, involving dual-sided kernel imaging, a specifically designed image processing algorithm, an optimized deep neural network architecture, and a mechanical sorting system. The proposed method achieves precise classification into multiple classes, aligning with quality standards for malting material assessment. Throughout the study, various image analysis techniques were assessed, including traditional feature enginee… Show more

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