VMI-ATN-RCNN: A hybrid deep learning model for fish disease segmentation and classification in aquaculture

Aquaculture is a fast-growing industry in global food production. However, fish disease management is a significant challenge that can severely reduce productivity, yield substantial economic losses, and create major threats to food safety. Accurate disease classification and early diagnosis are cru...

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Bibliographic Details

Published in:	Aquaculture Vol. 611; p. 743047
Main Authors:	Kabitha, P., Nandini, D. Usha
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.01.2026
Subjects:	Aquaculture Deep learning Fish disease Multi-scale convolution layer Segmentation and classification Self-adaptive crayfish optimization algorithm Deep learning Multi-scale convolution layer Self-adaptive crayfish optimization algorithm Segmentation and classification Fish disease Aquaculture
ISSN:	0044-8486
Online Access:	Get full text
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