Aquaculture defects recognition via multi-scale semantic segmentation

Author:

Akram WaseemORCID,Hassan Taimur,Toubar Hamed,Ahmed Muhayyuddin,Miškovic Nikola,Seneviratne Lakmal,Hussain IrfanORCID

Funder

Khalifa University of Science, Technology and Research

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference66 articles.

1. Deep learning-based segmental analysis of fish for biomass estimation in an occulted environment;Abinaya;Computers and Electronics in Agriculture,2022

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3. Fish disease detection using image based machine learning technique in aquaculture;Ahmed;Journal of King Saud University-Computer and Information Sciences,2021

4. A visual servoing scheme for autonomous aquaculture net pens inspection using ROV;Akram;Sensors,2022

5. Autonomous ROV inspections of aquaculture net pens using DVL;Amundsen;IEEE Journal of Oceanic Engineering,2021

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