Automated fish cage net inspection using image processing techniques-Reference-Cited by-同舟云学术

Automated fish cage net inspection using image processing techniques

Published:2020-07-06 Issue:10 Volume:14 Page:2028-2034
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Paspalakis Stavros¹,Moirogiorgou Konstantia¹,Papandroulakis Nikos²,Giakos George³,Zervakis Michalis¹

Affiliation:

1. School of Electrical & Computer Engineering, Technical University of Crete, University Campus73100ChaniaCreteGreece

2. Institute of Marine Biology, Biotechnology and Aquaculture, Hellenic Centre for Marine ResearchThalassocosmos, P.C. 71500Gournes HeraklionCreteGreece

3. Department of Electrical and Computer EngineeringScience and Technology Integration Research Laboratory, Manhattan CollegeRiverdaleNYUSA

Funder

Erzincan Üniversitesi

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2019.1667

Reference21 articles.

1. Mapping diversity of species in global aquaculture

2. Integrated navigation for autonomous underwater vehicles in aquaculture: A review

3. First testing of an AUV mission planning and guidance system for water quality monitoring and fish behavior observation in net cage fish farming

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