Visual identification of material attributes in wakame: exploring thickness, strength, and chlorophyll content

Visual identification of material attributes in wakame: exploring thickness, strength, and chlorophyll content

This study investigates the potential of using visual features to predict key material attributes in wakame, focusing on thickness, strength, and chlorophyll content (SPAD values). We compared frozen and salted wakame samples to understand how different processing methods affect these predictions. U...

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Bibliographic Details
Main Authors: Xin Lu, Tomoya Suzuki, Natsumi Shimoyama, Zhuolin Wang, Chunhong Yuan
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Sustainable Food Systems
Subjects:
wakame
visual analysis
SPAD
thickness
strength
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fsufs.2024.1493220/full
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