Mussel Classification Using Convolutional Neural Network with MobileNet
Open Access
- 14 September 2026
- conference paper
- Published by MDPI AG in Engineering Proceedings
- Vol. 134 (1) , 103
Abstract
The Philippines’ mussel industry plays a vital role in coastal livelihoods and food security, yet accurate species identification remains labor-intensive. This study developed an image classification system using MobileNet on a Raspberry Pi 4 to automate the identification of Perna viridis, Modiolus Philippinarum, and Mytella charruana. Trained on 900 images and tested on 180 unseen samples, the system achieved 100% accuracy for the first two species and 85% for Mytella charruana, with an overall accuracy of 95%. Results demonstrate MobileNet’s effectiveness in fine-grained classification, offering a cost-efficient solution for aquaculture, biodiversity monitoring, and sustainable marine resource management.Keywords
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