Multi leaf disease identification and classification using efficient capsule convolutional shuffle attention network

L. Satyanarayana

doi:10.1016/j.compag.2025.110662

Multi leaf disease identification and classification using efficient capsule convolutional shuffle attention network

2025-06-21

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DOI：10.1016/j.compag.2025.110662

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Abstract

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• ECSAN utilizes capsule convolutional layers and shuffle attention for precise leaf disease categorization. • Multi-scale GKNMF feature extraction sharpens disease feature information, reducing misclassification. • EOOA optimization boosts classification with dynamic probability mechanism, enhancing adaptability.

Keywords:

capsule convolutional layers

shuffle attention

multi-scale GKNMF

feature extraction

EOOA optimization

Multi leaf disease identification and classification using efficient capsule convolutional shuffle attention network

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