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Microalgae-enriched biscuit discrimination using image texture features and Artificial Intelligence (AI) algorithms

delete2026-03-04
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PRE
AI
E
Ewa Ropelewska *
E
Etiele Greque De Morais
E
Enrica Uggetti
D
Diana Paguay
F
Francisco Sepulcre
Z
Zein Kallas
DOI:10.1016/j.algal.2026.104627delete
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Abstract

Abstract

En 中文
• AI-based image texture analysis classified Chlorella-enriched biscuits with high accuracy. • Subspace Discriminant model achieved 97.86% correctness in biscuit classification. • Biscuits with Green Chlorella were classified most accurately by AI models. • Yellow Chlorella biscuits at 2.5% and 5% showed the highest classification overlap.
Keywords:
AI-based image texture analysis
subspace discriminant model
Chlorella-enriched biscuits
biscuit classification
image texture features

Journal

A
Algal Research
IF:
1.6
Papers:
600
Citations:
2

Organization

U
universitat politecnica de catalunya
Scholars:
1.9W
Papers: 1.6W
Citations: 17