Enhanced hybrid attention deep learning for avocado ripeness classification on resource constrained devices

Enhanced hybrid attention deep learning for avocado ripeness classification on resource constrained devices

Abstract Attention mechanisms such as the Convolutional Block Attention Module (CBAM) can help emphasize and refine the most relevant feature maps such as color, texture, spots, and wrinkle variations for the avocado ripeness classification. However, the CBAM lacks global context awareness, which ma...

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Bibliographic Details
Main Author: Sumitra Nuanmeesri
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Avocado ripeness
Deep learning
Hybrid attention
Image classification
Transfer learning
Online Access:https://doi.org/10.1038/s41598-025-87173-7
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https://doi.org/10.1038/s41598-025-87173-7

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