Behavioural Pattern Analysis of Fishes for Smart Aquaculture: An Object Centric Approach-Reference-Cited by-同舟云学术

Behavioural Pattern Analysis of Fishes for Smart Aquaculture: An Object Centric Approach

Published:2021-12-07 Issue: Volume: Page:
ISSN:
Container-title:TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)
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Author:

S Shreesha¹,M Manohara Pai M.¹,Verma Ujjwal²,Pai Radhika M.¹,S Girisha¹

Affiliation:

1. Manipal Institute of Technology, MAHE,Dept. of I&CT,Manipal,India

2. Manipal Institute of Technology, MAHE,Dept. of E&C Engineering,Manipal,India

Funder

Department of Science and Technology (DST), Government of India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9707139/9707180/09707293.pdf?arnumber=9707293

Reference16 articles.

1. A tank fish recognition and tracking system using computer vision techniques;lee;2010 3rd International Conference on Computer Science and Information Technology,0

2. Sub-second analysis of fish behavior using a novel computer-vision system

3. Machine learning approach to investigate the influence of water quality on aquatic livestock in freshwater ponds

4. Computer vision based fish tracking and behaviour detection system;shreesha;2020 IEEE International Conference on Distributed Computing VLSI Electrical Circuits and Robotics (DISCOVER),0

5. Water Quality Monitoring and Control for Aquaculture Based on Wireless Sensor Networks

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