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Fish disease detection using a novel feature extraction algorithm.

Authors :
Sujatha, K.
Bhavani, N. P. G.
Kirubakaran, D.
Ganesan, A.
Kanya, N.
Kalaivani, A.
Devi, C. H. Sarada
Kalpalatha, T.
Sankari, B. Rengammal
Source :
AIP Conference Proceedings; 2024, Vol. 2853 Issue 1, p1-6, 6p
Publication Year :
2024

Abstract

For a developing country like India, aquaculture is a lucrative business as it contributes to its economic growth. Cod liver oil is a nutrient-dense dietary supplement that boosts the immune system and prevents various diseases that affect humans. Aquaculture is the process of raising and breeding fish. It is a form of ocean stewardship that promotes a healthy marine environment and provides a sustainable source of food and commercial products. To ensure a pollution-free environment, detecting infectious fish on the seafloor is a complex and challenging task that requires specialized infrastructure. The accelerated spread of secondary diseases in fish could be detected at an early stage with the help of a planned smartphone app. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
2853
Issue :
1
Database :
Complementary Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
177080465
Full Text :
https://doi.org/10.1063/5.0198179